From 5c403d45ab618938e06968b87d6174b5c57797f4 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 25 May 2023 14:48:40 +0000 Subject: [PATCH] Update best-of list for version 2023.05.25 --- README.md | 4464 +++++++++++++++---------------- history/2023-05-25_changes.md | 30 + history/2023-05-25_projects.csv | 910 +++++++ latest-changes.md | 46 +- 4 files changed, 3096 insertions(+), 2354 deletions(-) create mode 100644 history/2023-05-25_changes.md create mode 100644 history/2023-05-25_projects.csv diff --git a/README.md b/README.md index cf65b43d..00007afe 100644 --- a/README.md +++ b/README.md @@ -32,7 +32,7 @@ This curated list contains 910 awesome open-source projects with a total of 3.9M ## Contents - [Machine Learning Frameworks](#machine-learning-frameworks) _58 projects_ -- [Data Visualization](#data-visualization) _54 projects_ +- [Data Visualization](#data-visualization) _53 projects_ - [Text Data & NLP](#text-data--nlp) _100 projects_ - [Image Data](#image-data) _64 projects_ - [Graph Data](#graph-data) _36 projects_ @@ -101,32 +101,32 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡55 Β· ⭐ 180K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 71K Β· πŸ“¦ 280K Β· πŸ“‹ 37K - 5% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 88K Β· πŸ“¦ 280K Β· πŸ“‹ 37K - 5% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 16M / month): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 16M / month Β· πŸ“¦ 15K Β· ⏱️ 22.03.2023): ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.1M Β· ⏱️ 27.03.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.2M Β· ⏱️ 27.03.2023): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 73M Β· ⭐ 2.2K Β· ⏱️ 18.05.2023): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 73M Β· ⭐ 2.2K Β· ⏱️ 25.05.2023): ``` docker pull tensorflow/tensorflow ```
scikit-learn (πŸ₯‡52 Β· ⭐ 54K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 23K Β· πŸ“₯ 870 Β· πŸ“¦ 520K Β· πŸ“‹ 10K - 15% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 24K Β· πŸ“₯ 870 Β· πŸ“¦ 530K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 36M / month): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 36M / month Β· πŸ“¦ 28K Β· ⏱️ 24.01.2023): ``` pip install scikit-learn ``` @@ -135,14 +135,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge scikit-learn ```
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PyTorch (πŸ₯‡45 Β· ⭐ 67K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +
PyTorch (πŸ₯‡51 Β· ⭐ 67K Β· πŸ“ˆ) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.1K Β· πŸ”€ 18K Β· πŸ“₯ 16K Β· πŸ“‹ 34K - 32% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.1K Β· πŸ”€ 18K Β· πŸ“₯ 16K Β· πŸ“‹ 35K - 34% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 9.9M / month): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 10M / month Β· πŸ“¦ 9.8K Β· ⏱️ 15.12.2022): ``` pip install torch ``` @@ -151,46 +151,46 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch pytorch ```
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jax (πŸ₯‡45 Β· ⭐ 23K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
Keras (πŸ₯‡46 Β· ⭐ 58K Β· πŸ“ˆ) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 2.2K Β· πŸ“¦ 12K Β· πŸ“‹ 4.5K - 31% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 3% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/google/jax + git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 4.3M / month Β· πŸ“¦ 610 Β· ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 10M / month Β· πŸ“¦ 590 Β· ⏱️ 23.02.2023): ``` - pip install jax + pip install keras ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 740K Β· ⏱️ 12.05.2023): +- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3M Β· ⏱️ 25.03.2023): ``` - conda install -c conda-forge jaxlib + conda install -c conda-forge keras ```
StatsModels (πŸ₯‡45 Β· ⭐ 8.5K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 2.7K Β· πŸ“₯ 27 Β· πŸ“¦ 93K Β· πŸ“‹ 5.3K - 49% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 2.5K Β· πŸ“₯ 27 Β· πŸ“¦ 93K Β· πŸ“‹ 5.1K - 47% open Β· ⏱️ 17.05.2023): ``` git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 10M / month Β· πŸ“¦ 5.1K Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 10M / month): ``` pip install statsmodels ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 9.8M Β· ⏱️ 05.05.2023): +- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 9.9M Β· ⏱️ 05.05.2023): ``` conda install -c conda-forge statsmodels ```
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XGBoost (πŸ₯‡43 Β· ⭐ 24K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 +
XGBoost (πŸ₯‡44 Β· ⭐ 24K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 8K Β· πŸ“₯ 6.6K Β· πŸ“¦ 56K Β· πŸ“‹ 4.8K - 6% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 8.6K Β· πŸ“₯ 6.6K Β· πŸ“¦ 57K Β· πŸ“‹ 4.9K - 7% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 8.9M / month): +- [PyPi](https://pypi.org/project/xgboost) (πŸ“₯ 8.8M / month Β· πŸ“¦ 1.6K Β· ⏱️ 06.01.2023): ``` pip install xgboost ``` @@ -199,14 +199,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge xgboost ```
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LightGBM (πŸ₯‡43 Β· ⭐ 15K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT +
jax (πŸ₯‡44 Β· ⭐ 23K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 3.7K Β· πŸ“₯ 190K Β· πŸ“¦ 22K Β· πŸ“‹ 3K - 8% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 540 Β· πŸ”€ 2.1K Β· πŸ“¦ 12K Β· πŸ“‹ 4.2K - 27% open Β· ⏱️ 25.05.2023): + + ``` + git clone https://github.com/google/jax + ``` +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 4.3M / month): + ``` + pip install jax + ``` +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 750K Β· ⏱️ 12.05.2023): + ``` + conda install -c conda-forge jaxlib + ``` +
+
LightGBM (πŸ₯ˆ43 Β· ⭐ 15K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT + +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 3.6K Β· πŸ“₯ 190K Β· πŸ“¦ 22K Β· πŸ“‹ 3K - 8% open Β· ⏱️ 16.05.2023): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 6M / month Β· πŸ“¦ 750 Β· ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 6.1M / month): ``` pip install lightgbm ``` @@ -215,25 +231,25 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge lightgbm ```
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Keras (πŸ₯ˆ42 Β· ⭐ 58K) - Deep Learning for humans. Apache-2 +
pytorch-lightning (πŸ₯ˆ42 Β· ⭐ 23K Β· πŸ“ˆ) - Deep learning framework to train, deploy, and ship AI.. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 18K Β· πŸ“‹ 12K - 2% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 870 Β· πŸ”€ 2.9K Β· πŸ“₯ 12K Β· πŸ“‹ 6.2K - 10% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/keras-team/keras + git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 10M / month): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.3M / month Β· πŸ“¦ 630 Β· ⏱️ 18.01.2023): ``` - pip install keras + pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/keras) (πŸ“₯ 3M Β· ⏱️ 25.03.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 810K Β· ⏱️ 24.04.2023): ``` - conda install -c conda-forge keras + conda install -c conda-forge pytorch-lightning ```
PaddlePaddle (πŸ₯ˆ42 Β· ⭐ 20K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5K Β· πŸ“₯ 15K Β· πŸ“¦ 240 Β· πŸ“‹ 17K - 5% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5K Β· πŸ“₯ 15K Β· πŸ“¦ 250 Β· πŸ“‹ 17K - 5% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/PaddlePaddle/Paddle @@ -245,39 +261,39 @@ _General-purpose machine learning and deep learning frameworks._
Fastai (πŸ₯ˆ39 Β· ⭐ 24K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 7.4K Β· πŸ“¦ 13K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 28.03.2023): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 7.2K Β· πŸ“¦ 14K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 28.03.2023): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 270K / month Β· πŸ“¦ 330 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 290K / month): ``` pip install fastai ```
Jina (πŸ₯ˆ39 Β· ⭐ 18K) - Build multimodal AI services via cloud native technologies. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“¦ 540 Β· πŸ“‹ 1.8K - 1% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“¦ 560 Β· πŸ“‹ 1.9K - 2% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 210K / month): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 330K / month Β· πŸ“¦ 11 Β· ⏱️ 06.07.2022): ``` pip install jina ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 45K Β· ⏱️ 16.08.2022): +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 46K Β· ⏱️ 16.08.2022): ``` conda install -c conda-forge jina-core ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.2M Β· ⭐ 8 Β· ⏱️ 18.05.2023): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.2M Β· ⭐ 8 Β· ⏱️ 23.05.2023): ``` docker pull jinaai/jina ```
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PySpark (πŸ₯ˆ38 Β· ⭐ 36K Β· πŸ“‰) - Apache Spark Python API. Apache-2 +
PySpark (πŸ₯ˆ38 Β· ⭐ 36K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 26K Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 2.9K Β· πŸ”€ 26K Β· ⏱️ 25.05.2023): ``` git clone https://github.com/apache/spark @@ -286,27 +302,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 2.5M Β· ⏱️ 16.04.2023): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 2.6M Β· ⏱️ 16.04.2023): ``` conda install -c conda-forge pyspark ```
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pytorch-lightning (πŸ₯ˆ38 Β· ⭐ 23K) - Deep learning framework to train, deploy, and ship AI.. Apache-2 - -- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 870 Β· πŸ”€ 2.8K Β· πŸ“₯ 12K Β· πŸ“‹ 6.1K - 9% open Β· ⏱️ 18.05.2023): - - ``` - git clone https://github.com/Lightning-AI/lightning - ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 4.3M / month): - ``` - pip install pytorch-lightning - ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 800K Β· ⏱️ 24.04.2023): - ``` - conda install -c conda-forge pytorch-lightning - ``` -
MXNet (πŸ₯ˆ38 Β· ⭐ 20K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 - [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.5K Β· πŸ“₯ 26K Β· πŸ“¦ 6.4K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): @@ -314,7 +314,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 370K / month): +- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 360K / month): ``` pip install mxnet ``` @@ -323,41 +323,9 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c anaconda mxnet ```
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Theano (πŸ₯ˆ38 Β· ⭐ 9.7K) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +
Catboost (πŸ₯ˆ36 Β· ⭐ 7.2K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/Theano/Theano) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 2.5K Β· πŸ“¦ 14K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 20.12.2022): - - ``` - git clone https://github.com/Theano/Theano - ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 230K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): - ``` - pip install theano - ``` -- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 2.3M Β· ⏱️ 16.03.2022): - ``` - conda install -c conda-forge theano - ``` -
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Vowpal Wabbit (πŸ₯ˆ37 Β· ⭐ 8.2K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 - -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 16.05.2023): - - ``` - git clone https://github.com/VowpalWabbit/vowpal_wabbit - ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 84K / month Β· πŸ“¦ 32 Β· ⏱️ 09.11.2022): - ``` - pip install vowpalwabbit - ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 110K Β· ⏱️ 15.03.2023): - ``` - conda install -c conda-forge vowpalwabbit - ``` -
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Catboost (πŸ₯ˆ36 Β· ⭐ 7.1K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 - -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 1.1K Β· πŸ“₯ 150K Β· πŸ“‹ 2.1K - 23% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 1.1K Β· πŸ“₯ 150K Β· πŸ“‹ 2.1K - 23% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/catboost/catboost @@ -373,28 +341,28 @@ _General-purpose machine learning and deep learning frameworks._
Flax (πŸ₯ˆ36 Β· ⭐ 4.3K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 500 Β· πŸ“₯ 43 Β· πŸ“¦ 3.1K Β· πŸ“‹ 750 - 19% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 480 Β· πŸ“₯ 45 Β· πŸ“¦ 3.2K Β· πŸ“‹ 690 - 12% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 680K / month Β· πŸ“¦ 150 Β· ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 660K / month): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 25K Β· ⏱️ 16.03.2023): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 26K Β· ⏱️ 16.03.2023): ``` conda install -c conda-forge flax ```
Thinc (πŸ₯ˆ36 Β· ⭐ 2.7K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 270 Β· πŸ“¦ 31K Β· πŸ“‹ 140 - 15% open Β· ⏱️ 27.04.2023): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 260 Β· πŸ“¦ 31K Β· πŸ“‹ 130 - 12% open Β· ⏱️ 27.04.2023): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 4.4M / month Β· πŸ“¦ 630 Β· ⏱️ 13.01.2023): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 4.4M / month): ``` pip install thinc ``` @@ -403,94 +371,114 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge thinc ```
+
Vowpal Wabbit (πŸ₯ˆ35 Β· ⭐ 8.2K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 + +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 1.9K Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 23.05.2023): + + ``` + git clone https://github.com/VowpalWabbit/vowpal_wabbit + ``` +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 90K / month): + ``` + pip install vowpalwabbit + ``` +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 120K Β· ⏱️ 15.03.2023): + ``` + conda install -c conda-forge vowpalwabbit + ``` +
einops (πŸ₯ˆ35 Β· ⭐ 6.8K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 300 Β· πŸ“¦ 11K Β· πŸ“‹ 140 - 22% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 300 Β· πŸ“¦ 11K Β· πŸ“‹ 140 - 25% open Β· ⏱️ 15.05.2023): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 3.9M / month): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 3.9M / month Β· πŸ“¦ 480 Β· ⏱️ 09.11.2022): ``` pip install einops ``` -- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 99K Β· ⏱️ 19.04.2023): +- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 100K Β· ⏱️ 19.04.2023): ``` conda install -c conda-forge einops ```
ivy (πŸ₯ˆ33 Β· ⭐ 11K) - The Unified Machine Learning Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 970 Β· πŸ”€ 3.9K Β· πŸ“‹ 8.4K - 23% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 4K Β· πŸ“‹ 8.9K - 23% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy-core) (πŸ“₯ 220 / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/ivy-core) (πŸ“₯ 200 / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2022): ``` pip install ivy-core ```
Ludwig (πŸ₯ˆ33 Β· ⭐ 8.9K) - Data-centric declarative deep learning framework. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1K Β· πŸ“¦ 170 Β· πŸ“‹ 970 - 27% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 990 Β· πŸ“¦ 170 Β· πŸ“‹ 920 - 23% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.4K / month Β· πŸ“¦ 9 Β· ⏱️ 28.10.2022): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 2.4K / month): ``` pip install ludwig ```
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Chainer (πŸ₯ˆ33 Β· ⭐ 5.8K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT +
tensorpack (πŸ₯ˆ33 Β· ⭐ 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 -- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.4K Β· πŸ“¦ 3K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 17.10.2022): +- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.9K Β· πŸ“₯ 150 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 31.03.2023): ``` - git clone https://github.com/chainer/chainer + git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 16K / month Β· πŸ“¦ 400 Β· ⏱️ 05.01.2022): +- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 15K / month Β· πŸ“¦ 47 Β· ⏱️ 22.01.2021): ``` - pip install chainer + pip install tensorpack ``` -- [Conda](https://anaconda.org/conda-forge/chainer) (πŸ“₯ 14K Β· ⏱️ 21.01.2022): +- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 9.4K Β· ⏱️ 06.02.2022): ``` - conda install -c conda-forge chainer + conda install -c conda-forge tensorpack ```
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tensorflow-upstream (πŸ₯ˆ33 Β· ⭐ 640) - TensorFlow ROCm port. Apache-2 +
Chainer (πŸ₯ˆ33 Β· ⭐ 5.8K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 76 Β· πŸ“₯ 21 Β· πŸ“‹ 350 - 21% open Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/chainer/chainer) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.3K Β· πŸ“¦ 3K Β· πŸ“‹ 2K - 0% open Β· ⏱️ 17.10.2022): ``` - git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + git clone https://github.com/chainer/chainer ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 3.1K / month Β· πŸ“¦ 5 Β· ⏱️ 06.12.2022): +- [PyPi](https://pypi.org/project/chainer) (πŸ“₯ 16K / month): ``` - pip install tensorflow-rocm + pip install chainer + ``` +- [Conda](https://anaconda.org/conda-forge/chainer) (πŸ“₯ 14K Β· ⏱️ 21.01.2022): + ``` + conda install -c conda-forge chainer ```
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PyFlink (πŸ₯‰32 Β· ⭐ 21K) - Apache Flink Python API. Apache-2 +
PyFlink (πŸ₯‰31 Β· ⭐ 21K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 12K Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 12K Β· ⏱️ 25.05.2023): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 66K / month): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 50K / month): ``` pip install apache-flink ```
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Sonnet (πŸ₯‰32 Β· ⭐ 9.6K) - TensorFlow-based neural network library. Apache-2 +
Sonnet (πŸ₯‰31 Β· ⭐ 9.6K) - TensorFlow-based neural network library. Apache-2 -- [GitHub](https://github.com/deepmind/sonnet) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 1.4K Β· πŸ“¦ 1.1K Β· πŸ“‹ 190 - 17% open Β· ⏱️ 23.02.2023): +- [GitHub](https://github.com/deepmind/sonnet) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.1K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 23.02.2023): ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 21K / month Β· πŸ“¦ 53 Β· ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 21K / month): ``` pip install dm-sonnet ``` @@ -499,30 +487,46 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
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tensorpack (πŸ₯‰32 Β· ⭐ 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 +
skorch (πŸ₯‰31 Β· ⭐ 5.2K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/tensorpack/tensorpack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.8K Β· πŸ“₯ 150 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 31.03.2023): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 350 Β· πŸ“¦ 860 Β· πŸ“‹ 480 - 10% open Β· ⏱️ 22.05.2023): ``` - git clone https://github.com/tensorpack/tensorpack + git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/tensorpack) (πŸ“₯ 14K / month): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 42K / month Β· πŸ“¦ 48 Β· ⏱️ 18.11.2022): ``` - pip install tensorpack + pip install skorch ``` -- [Conda](https://anaconda.org/conda-forge/tensorpack) (πŸ“₯ 9.3K Β· ⏱️ 06.02.2022): +- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 770K Β· ⏱️ 19.05.2023): ``` - conda install -c conda-forge tensorpack + conda install -c conda-forge skorch + ``` +
+
Ignite (πŸ₯‰31 Β· ⭐ 4.3K) - High-level library to help with training and evaluating neural.. BSD-3 + +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 600 Β· πŸ“‹ 1.2K - 12% open Β· ⏱️ 25.05.2023): + + ``` + git clone https://github.com/pytorch/ignite + ``` +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 130K / month Β· πŸ“¦ 39 Β· ⏱️ 08.11.2022): + ``` + pip install pytorch-ignite + ``` +- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 140K Β· ⏱️ 01.05.2023): + ``` + conda install -c pytorch ignite ```
Haiku (πŸ₯‰31 Β· ⭐ 2.5K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 210 Β· πŸ“¦ 1.2K Β· πŸ“‹ 220 - 28% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 210 Β· πŸ“¦ 1.3K Β· πŸ“‹ 250 - 36% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 130K / month): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 130K / month Β· πŸ“¦ 66 Β· ⏱️ 16.11.2022): ``` pip install dm-haiku ``` @@ -533,51 +537,59 @@ _General-purpose machine learning and deep learning frameworks._
ktrain (πŸ₯‰31 Β· ⭐ 1.1K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 260 Β· πŸ“¦ 420 Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 420 Β· πŸ“‹ 460 - 0% open Β· ⏱️ 12.05.2023): ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 22K / month): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 22K / month Β· πŸ“¦ 3 Β· ⏱️ 03.02.2023): ``` pip install ktrain ```
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skorch (πŸ₯‰30 Β· ⭐ 5.1K) - A scikit-learn compatible neural network library that wraps.. BSD-3 +
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 650) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 340 Β· πŸ“¦ 850 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 76 Β· πŸ“₯ 21 Β· πŸ“‹ 340 - 19% open Β· ⏱️ 19.05.2023): ``` - git clone https://github.com/skorch-dev/skorch + git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 43K / month): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 3.3K / month): ``` - pip install skorch + pip install tensorflow-rocm ``` -- [Conda](https://anaconda.org/conda-forge/skorch) (πŸ“₯ 770K Β· ⏱️ 14.03.2023): +
+
Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.6K Β· πŸ“ˆ) - Neural Network Libraries. Apache-2 + +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 330 Β· πŸ“₯ 640 Β· πŸ“‹ 88 - 35% open Β· ⏱️ 24.05.2023): + ``` - conda install -c conda-forge skorch + git clone https://github.com/sony/nnabla + ``` +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.8K / month Β· πŸ“¦ 53 Β· ⏱️ 14.02.2023): + ``` + pip install nnabla ```
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Ignite (πŸ₯‰30 Β· ⭐ 4.3K) - High-level library to help with training and evaluating neural.. BSD-3 +
Geomstats (πŸ₯‰30 Β· ⭐ 940 Β· πŸ“ˆ) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 580 Β· πŸ“‹ 1.2K - 9% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 200 Β· πŸ“¦ 65 Β· πŸ“‹ 500 - 37% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/pytorch/ignite + git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 130K / month): +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 1.8K / month): ``` - pip install pytorch-ignite + pip install geomstats ``` -- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 140K Β· ⏱️ 01.05.2023): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.2K Β· ⏱️ 01.06.2022): ``` - conda install -c pytorch ignite + conda install -c conda-forge geomstats ```
dyNET (πŸ₯‰29 Β· ⭐ 3.4K Β· πŸ’€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 -- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 680 Β· πŸ“₯ 11K Β· πŸ“¦ 240 Β· πŸ“‹ 930 - 28% open Β· ⏱️ 14.08.2022): +- [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 680 Β· πŸ“₯ 11K Β· πŸ“¦ 250 Β· πŸ“‹ 930 - 28% open Β· ⏱️ 14.08.2022): ``` git clone https://github.com/clab/dynet @@ -587,21 +599,9 @@ _General-purpose machine learning and deep learning frameworks._ pip install dyNET ```
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Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.6K) - Neural Network Libraries. Apache-2 - -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 320 Β· πŸ“₯ 590 Β· πŸ“‹ 78 - 26% open Β· ⏱️ 10.05.2023): - - ``` - git clone https://github.com/sony/nnabla - ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.7K / month): - ``` - pip install nnabla - ``` -
Towhee (πŸ₯‰27 Β· ⭐ 2.2K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 -- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 200 Β· πŸ“₯ 1.1K Β· πŸ“‹ 600 - 1% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 200 Β· πŸ“₯ 1.1K Β· πŸ“‹ 600 - 0% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/towhee-io/towhee @@ -613,32 +613,16 @@ _General-purpose machine learning and deep learning frameworks._
Neural Tangents (πŸ₯‰27 Β· ⭐ 2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 220 Β· πŸ“₯ 290 Β· πŸ“¦ 71 Β· πŸ“‹ 140 - 41% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 220 Β· πŸ“₯ 290 Β· πŸ“¦ 73 Β· πŸ“‹ 130 - 39% open Β· ⏱️ 08.05.2023): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 6.5K / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 6.1K / month): ``` pip install neural-tangents ```
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Geomstats (πŸ₯‰27 Β· ⭐ 940) - Computations and statistics on manifolds with geometric structures. MIT - -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 210 Β· πŸ“‹ 550 - 42% open Β· ⏱️ 16.05.2023): - - ``` - git clone https://github.com/geomstats/geomstats - ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 1.7K / month Β· πŸ“¦ 2 Β· ⏱️ 22.04.2022): - ``` - pip install geomstats - ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.2K Β· ⏱️ 01.06.2022): - ``` - conda install -c conda-forge geomstats - ``` -
xLearn (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - [GitHub](https://github.com/aksnzhy/xlearn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 510 Β· πŸ“₯ 3.9K Β· πŸ“¦ 120 Β· πŸ“‹ 300 - 61% open Β· ⏱️ 05.06.2022): @@ -670,14 +654,14 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/itdxer/neupy ``` -- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 5.1K / month): +- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 5K / month): ``` pip install neupy ```
mace (πŸ₯‰23 Β· ⭐ 4.8K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 -- [GitHub](https://github.com/XiaoMi/mace) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 810 Β· πŸ“₯ 1.5K Β· πŸ“‹ 670 - 8% open Β· ⏱️ 30.05.2022): +- [GitHub](https://github.com/XiaoMi/mace) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 810 Β· πŸ“₯ 1.5K Β· πŸ“‹ 670 - 7% open Β· ⏱️ 30.05.2022): ``` git clone https://github.com/XiaoMi/mace @@ -690,31 +674,31 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 420 / month): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 410 / month): ``` pip install thundersvm ```
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NeoML (πŸ₯‰20 Β· ⭐ 720) - Machine learning framework for both deep learning and traditional.. Apache-2 +
NeoML (πŸ₯‰19 Β· ⭐ 730) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 120 Β· πŸ“‹ 84 - 40% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 120 Β· πŸ“‹ 64 - 21% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 27 / month Β· ⏱️ 07.09.2022): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 44 / month): ``` pip install neoml ```
chefboost (πŸ₯‰19 Β· ⭐ 400) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 94 Β· πŸ“¦ 38 Β· πŸ“‹ 32 - 15% open Β· ⏱️ 30.03.2023): +- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 95 Β· πŸ“¦ 38 Β· πŸ“‹ 32 - 15% open Β· ⏱️ 30.03.2023): ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 670 / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 660 / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ``` @@ -726,7 +710,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/poets-ai/elegy ``` -- [PyPi](https://pypi.org/project/elegy) (πŸ“₯ 220 / month Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/elegy) (πŸ“₯ 270 / month Β· ⏱️ 22.04.2022): ``` pip install elegy ``` @@ -738,17 +722,18 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 42 / month): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 34 / month): ``` pip install thundergbm ```
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Show 13 hidden projects... +
Show 14 hidden projects... - dlib (πŸ₯ˆ41 Β· ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 -- MindsDB (πŸ₯ˆ35 Β· ⭐ 16K) - A low-code Machine Learning platform to help developers build.. ❗️GPL-3.0 +- Theano (πŸ₯ˆ35 Β· ⭐ 9.7K) - Theano was a Python library that allows you to define, optimize,.. ❗Unlicensed +- MindsDB (πŸ₯ˆ34 Β· ⭐ 16K) - MindsDB is a Server for Artificial Intelligence Logic. Enabling.. ❗️GPL-3.0 - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 -- TFlearn (πŸ₯‰32 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT +- TFlearn (πŸ₯‰30 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed - mlpack (πŸ₯‰30 Β· ⭐ 4.4K) - mlpack: a fast, header-only C++ machine learning library. ❗Unlicensed - NuPIC (πŸ₯‰28 Β· ⭐ 6.3K Β· πŸ’€) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - CNTK (πŸ₯‰27 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed @@ -769,7 +754,7 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (πŸ₯‡50 Β· ⭐ 17K) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 6.8K Β· πŸ“¦ 830K Β· πŸ“‹ 9.9K - 17% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 6.9K Β· πŸ“¦ 840K Β· πŸ“‹ 9.9K - 17% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/matplotlib/matplotlib @@ -778,51 +763,51 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 18M Β· ⏱️ 06.03.2023): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 19M Β· ⏱️ 06.03.2023): ``` conda install -c conda-forge matplotlib ```
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Bokeh (πŸ₯‡43 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 +
Seaborn (πŸ₯‡43 Β· ⭐ 11K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 4.1K Β· πŸ“¦ 220 Β· πŸ“‹ 7.3K - 9% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.7K Β· πŸ“₯ 240 Β· πŸ“¦ 260K Β· πŸ“‹ 2.3K - 5% open Β· ⏱️ 21.05.2023): ``` - git clone https://github.com/bokeh/bokeh + git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.4M / month Β· πŸ“¦ 3.7K Β· ⏱️ 20.12.2022): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 8.9M / month Β· πŸ“¦ 11K Β· ⏱️ 02.01.2023): ``` - pip install bokeh + pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 11M Β· ⏱️ 10.05.2023): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 6.7M Β· ⏱️ 31.12.2022): ``` - conda install -c conda-forge bokeh + conda install -c conda-forge seaborn ```
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Seaborn (πŸ₯‡43 Β· ⭐ 11K) - Statistical data visualization in Python. BSD-3 +
Bokeh (πŸ₯‡42 Β· ⭐ 18K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.7K Β· πŸ“₯ 240 Β· πŸ“¦ 260K Β· πŸ“‹ 2.3K - 5% open Β· ⏱️ 13.05.2023): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 4K Β· πŸ“¦ 69K Β· πŸ“‹ 7.3K - 9% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/mwaskom/seaborn + git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 9M / month Β· πŸ“¦ 10K Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 3.4M / month): ``` - pip install seaborn + pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 6.6M Β· ⏱️ 31.12.2022): +- [Conda](https://anaconda.org/conda-forge/bokeh) (πŸ“₯ 11M Β· ⏱️ 10.05.2023): ``` - conda install -c conda-forge seaborn + conda install -c conda-forge bokeh ```
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Plotly (πŸ₯‡42 Β· ⭐ 13K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT +
Plotly (πŸ₯‡42 Β· ⭐ 13K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.3K Β· πŸ“‹ 2.7K - 50% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.3K Β· πŸ“‹ 2.7K - 50% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 8.1M / month Β· πŸ“¦ 4.8K Β· ⏱️ 23.01.2023): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 7.9M / month Β· πŸ“¦ 4.9K Β· ⏱️ 23.01.2023): ``` pip install plotly ``` @@ -830,14 +815,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 33K / month Β· πŸ“¦ 6 Β· ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 29K / month Β· πŸ“¦ 6 Β· ⏱️ 12.01.2021): ``` npm install plotlywidget ```
Altair (πŸ₯‡42 Β· ⭐ 8.3K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 730 Β· πŸ“₯ 31 Β· πŸ“¦ 56K Β· πŸ“‹ 1.8K - 12% open Β· ⏱️ 14.05.2023): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 730 Β· πŸ“₯ 43 Β· πŸ“¦ 57K Β· πŸ“‹ 1.8K - 12% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/altair-viz/altair @@ -853,56 +838,56 @@ _General-purpose and task-specific data visualization libraries._
dash (πŸ₯‡41 Β· ⭐ 19K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 46K Β· πŸ“‹ 1.5K - 47% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/plotly/dash) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.9K Β· πŸ“¦ 47K Β· πŸ“‹ 1.5K - 47% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 1.6M / month Β· πŸ“¦ 1.4K Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 1.5M / month Β· πŸ“¦ 1.4K Β· ⏱️ 30.01.2023): ``` pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 950K Β· ⏱️ 15.05.2023): +- [Conda](https://anaconda.org/conda-forge/dash) (πŸ“₯ 960K Β· ⏱️ 23.05.2023): ``` conda install -c conda-forge dash ```
pyecharts (πŸ₯ˆ37 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT -- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.8K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1.7K - 0% open Β· ⏱️ 10.04.2023): +- [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 2.7K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1.7K - 0% open Β· ⏱️ 10.04.2023): ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 95K / month Β· πŸ“¦ 240 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/pyecharts) (πŸ“₯ 92K / month): ``` pip install pyecharts ```
plotnine (πŸ₯ˆ36 Β· ⭐ 3.5K) - A grammar of graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“¦ 5K Β· πŸ“‹ 560 - 13% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“¦ 5.1K Β· πŸ“‹ 560 - 13% open Β· ⏱️ 10.05.2023): ``` git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 830K / month Β· πŸ“¦ 250 Β· ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 880K / month Β· πŸ“¦ 250 Β· ⏱️ 29.09.2022): ``` pip install plotnine ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 260K Β· ⏱️ 09.05.2023): +- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 270K Β· ⏱️ 09.05.2023): ``` conda install -c conda-forge plotnine ```
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PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.2K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT +
PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.3K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1K Β· πŸ“‹ 1.2K - 30% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1K Β· πŸ“‹ 1.2K - 30% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 110K / month Β· πŸ“¦ 920 Β· ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 110K / month Β· πŸ“¦ 940 Β· ⏱️ 29.09.2022): ``` pip install pyqtgraph ``` @@ -913,44 +898,56 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (πŸ₯ˆ36 Β· ⭐ 3K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 350 Β· πŸ“¦ 310 Β· πŸ“‹ 1.2K - 36% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 350 Β· πŸ“¦ 310 Β· πŸ“‹ 1.3K - 36% open Β· ⏱️ 17.05.2023): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 130K / month Β· πŸ“¦ 7 Β· ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 73K / month Β· πŸ“¦ 7 Β· ⏱️ 04.01.2023): ``` pip install fiftyone ```
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VisPy (πŸ₯ˆ35 Β· ⭐ 3.1K) - High-performance interactive 2D/3D data visualization library. BSD-3 +
PyVista (πŸ₯ˆ35 Β· ⭐ 1.8K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 610 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“₯ 710 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.2K - 28% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/vispy/vispy + git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 64K / month Β· πŸ“¦ 130 Β· ⏱️ 14.11.2022): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 96K / month): ``` - pip install vispy + pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 380K Β· ⏱️ 13.05.2023): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 340K Β· ⏱️ 22.05.2023): ``` - conda install -c conda-forge vispy + conda install -c conda-forge pyvista ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 10 / month Β· πŸ“¦ 1 Β· ⏱️ 15.03.2020): +
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UMAP (πŸ₯ˆ34 Β· ⭐ 6.2K) - Uniform Manifold Approximation and Projection. BSD-3 + +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 690 Β· πŸ“¦ 9.1K Β· πŸ“‹ 700 - 54% open Β· ⏱️ 24.05.2023): + ``` - npm install vispy + git clone https://github.com/lmcinnes/umap + ``` +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 810K / month): + ``` + pip install umap-learn + ``` +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 1.9M Β· ⏱️ 19.05.2023): + ``` + conda install -c conda-forge umap-learn ```
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HoloViews (πŸ₯ˆ35 Β· ⭐ 2.4K Β· πŸ“ˆ) - With Holoviews, your data visualizes itself. BSD-3 +
HoloViews (πŸ₯ˆ34 Β· ⭐ 2.4K) - With Holoviews, your data visualizes itself. BSD-3 - [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 380 Β· πŸ“‹ 3K - 33% open Β· ⏱️ 09.05.2023): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 340K / month Β· πŸ“¦ 240 Β· ⏱️ 16.01.2023): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 330K / month Β· πŸ“¦ 240 Β· ⏱️ 16.01.2023): ``` pip install holoviews ``` @@ -958,27 +955,11 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 630 / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 620 / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): ``` npm install @pyviz/jupyterlab_pyviz ```
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PyVista (πŸ₯ˆ35 Β· ⭐ 1.8K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT - -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 330 Β· πŸ“₯ 710 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.2K - 28% open Β· ⏱️ 16.05.2023): - - ``` - git clone https://github.com/pyvista/pyvista - ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 97K / month Β· πŸ“¦ 200 Β· ⏱️ 02.11.2022): - ``` - pip install pyvista - ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 340K Β· ⏱️ 05.05.2023): - ``` - conda install -c conda-forge pyvista - ``` -
Graphviz (πŸ₯ˆ34 Β· ⭐ 1.4K) - Simple Python interface for Graphviz. MIT - [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 190 Β· πŸ“¦ 48K Β· πŸ“‹ 160 - 5% open Β· ⏱️ 30.01.2023): @@ -995,46 +976,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c anaconda python-graphviz ```
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wordcloud (πŸ₯ˆ33 Β· ⭐ 9.4K) - A little word cloud generator in Python. MIT - -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 2.3K Β· πŸ“‹ 540 - 25% open Β· ⏱️ 08.05.2023): - - ``` - git clone https://github.com/amueller/word_cloud - ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 720K / month Β· πŸ“¦ 800 Β· ⏱️ 27.06.2022): - ``` - pip install wordcloud - ``` -- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 400K Β· ⏱️ 01.05.2023): - ``` - conda install -c conda-forge wordcloud - ``` -
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UMAP (πŸ₯ˆ33 Β· ⭐ 6.2K) - Uniform Manifold Approximation and Projection. BSD-3 - -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 720 Β· πŸ“¦ 9K Β· πŸ“‹ 720 - 55% open Β· ⏱️ 12.05.2023): - - ``` - git clone https://github.com/lmcinnes/umap - ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 800K / month Β· πŸ“¦ 460 Β· ⏱️ 13.04.2022): - ``` - pip install umap-learn - ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 1.9M Β· ⏱️ 14.04.2022): - ``` - conda install -c conda-forge umap-learn - ``` -
datashader (πŸ₯ˆ33 Β· ⭐ 3K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 2.3K Β· πŸ“‹ 550 - 24% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 360 Β· πŸ“¦ 2.4K Β· πŸ“‹ 550 - 24% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 55K / month Β· πŸ“¦ 120 Β· ⏱️ 02.02.2023): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 52K / month Β· πŸ“¦ 120 Β· ⏱️ 02.02.2023): ``` pip install datashader ``` @@ -1043,38 +992,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge datashader ```
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Perspective (πŸ₯ˆ30 Β· ⭐ 6.3K) - A data visualization and analytics component, especially.. Apache-2 - -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 680 Β· πŸ“¦ 9 Β· πŸ“‹ 640 - 15% open Β· ⏱️ 17.05.2023): - - ``` - git clone https://github.com/finos/perspective - ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 3.7K / month Β· πŸ“¦ 11 Β· ⏱️ 20.01.2023): - ``` - pip install perspective-python - ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 340K Β· ⏱️ 18.05.2023): - ``` - conda install -c conda-forge perspective - ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 1.6K / month Β· πŸ“¦ 3 Β· ⏱️ 18.05.2023): - ``` - npm install @finos/perspective-jupyterlab - ``` -
D-Tale (πŸ₯ˆ30 Β· ⭐ 4K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 340 Β· πŸ“¦ 700 Β· πŸ“‹ 510 - 8% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 330 Β· πŸ“¦ 720 Β· πŸ“‹ 510 - 8% open Β· ⏱️ 16.05.2023): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 210K / month Β· πŸ“¦ 16 Β· ⏱️ 17.06.2022): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 210K / month): ``` pip install dtale ``` -- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 210K Β· ⏱️ 16.05.2023): +- [Conda](https://anaconda.org/conda-forge/dtale) (πŸ“₯ 220K Β· ⏱️ 16.05.2023): ``` conda install -c conda-forge dtale ``` @@ -1086,7 +1015,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 150K / month Β· πŸ“¦ 100 Β· ⏱️ 02.09.2022): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 140K / month Β· πŸ“¦ 100 Β· ⏱️ 02.09.2022): ``` pip install bqplot ``` @@ -1094,14 +1023,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 3.8K / month Β· πŸ“¦ 14 Β· ⏱️ 11.04.2023): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 4.1K / month Β· πŸ“¦ 14 Β· ⏱️ 11.04.2023): ``` npm install bqplot ```
mpld3 (πŸ₯ˆ30 Β· ⭐ 2.3K) - D3 Renderings of Matplotlib Graphics. BSD-3 -- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 350 Β· πŸ“¦ 4.6K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 10.12.2022): +- [GitHub](https://github.com/mpld3/mpld3) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 350 Β· πŸ“¦ 4.7K Β· πŸ“‹ 360 - 59% open Β· ⏱️ 10.12.2022): ``` git clone https://github.com/mpld3/mpld3 @@ -1114,14 +1043,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 1K / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 900 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): ``` npm install mpld3 ```
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hvPlot (πŸ₯ˆ30 Β· ⭐ 750) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
hvPlot (πŸ₯ˆ30 Β· ⭐ 760) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 85 Β· πŸ“¦ 2.9K Β· πŸ“‹ 620 - 41% open Β· ⏱️ 06.04.2023): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 85 Β· πŸ“¦ 2.9K Β· πŸ“‹ 620 - 41% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/holoviz/hvplot @@ -1135,61 +1064,53 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge hvplot ```
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missingno (πŸ₯‰29 Β· ⭐ 3.5K) - Missing data visualization module for Python. MIT +
wordcloud (πŸ₯ˆ29 Β· ⭐ 9.5K) - A little word cloud generator in Python. MIT -- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 450 Β· πŸ“¦ 11K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 26.02.2023): +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 2.2K Β· πŸ“‹ 490 - 18% open Β· ⏱️ 18.05.2023): ``` - git clone https://github.com/ResidentMario/missingno + git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 410K / month Β· πŸ“¦ 130 Β· ⏱️ 27.02.2022): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 740K / month): ``` - pip install missingno + pip install wordcloud ``` -- [Conda](https://anaconda.org/conda-forge/missingno) (πŸ“₯ 280K Β· ⏱️ 15.02.2020): +- [Conda](https://anaconda.org/conda-forge/wordcloud) (πŸ“₯ 410K Β· ⏱️ 22.05.2023): ``` - conda install -c conda-forge missingno + conda install -c conda-forge wordcloud ```
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pythreejs (πŸ₯‰29 Β· ⭐ 870 Β· πŸ“ˆ) - A Jupyter - Three.js bridge. BSD-3 +
missingno (πŸ₯ˆ29 Β· ⭐ 3.5K) - Missing data visualization module for Python. MIT -- [GitHub](https://github.com/jupyter-widgets/pythreejs) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 180 Β· πŸ“¦ 26 Β· πŸ“‹ 230 - 25% open Β· ⏱️ 20.02.2023): +- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 440 Β· πŸ“¦ 11K Β· πŸ“‹ 130 - 7% open Β· ⏱️ 26.02.2023): ``` - git clone https://github.com/jupyter-widgets/pythreejs - ``` -- [PyPi](https://pypi.org/project/pythreejs) (πŸ“₯ 94K / month Β· πŸ“¦ 54 Β· ⏱️ 20.02.2023): - ``` - pip install pythreejs + git clone https://github.com/ResidentMario/missingno ``` -- [Conda](https://anaconda.org/conda-forge/pythreejs) (πŸ“₯ 480K Β· ⏱️ 16.03.2023): +- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 410K / month): ``` - conda install -c conda-forge pythreejs + pip install missingno ``` -- [npm](https://www.npmjs.com/package/jupyter-threejs) (πŸ“₯ 4.5K / month Β· πŸ“¦ 11 Β· ⏱️ 20.02.2023): +- [Conda](https://anaconda.org/conda-forge/missingno) (πŸ“₯ 280K Β· ⏱️ 15.02.2020): ``` - npm install jupyter-threejs + conda install -c conda-forge missingno ```
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AutoViz (πŸ₯‰28 Β· ⭐ 1.3K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 +
Facets Overview (πŸ₯‰28 Β· ⭐ 7.1K) - Visualizations for machine learning datasets. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 430 Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 860 Β· πŸ“¦ 180 Β· πŸ“‹ 160 - 49% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/AutoViML/AutoViz - ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 74K / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2022): - ``` - pip install autoviz + git clone https://github.com/pair-code/facets ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 33K Β· ⏱️ 16.05.2023): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 140K / month): ``` - conda install -c conda-forge autoviz + pip install facets-overview ```
data-validation (πŸ₯‰28 Β· ⭐ 720) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 140 Β· πŸ“₯ 420 Β· πŸ“¦ 680 Β· πŸ“‹ 170 - 21% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 420 Β· πŸ“¦ 680 Β· πŸ“‹ 170 - 21% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/tensorflow/data-validation @@ -1199,120 +1120,100 @@ _General-purpose and task-specific data visualization libraries._ pip install tensorflow-data-validation ```
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Facets Overview (πŸ₯‰27 Β· ⭐ 7.1K) - Visualizations for machine learning datasets. Apache-2 - -- [GitHub](https://github.com/PAIR-code/facets) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 910 Β· πŸ“¦ 180 Β· πŸ“‹ 160 - 50% open Β· ⏱️ 18.02.2023): - - ``` - git clone https://github.com/pair-code/facets - ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 150K / month Β· πŸ“¦ 8 Β· ⏱️ 30.01.2023): - ``` - pip install facets-overview - ``` -
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pandas-profiling (πŸ₯‰26 Β· ⭐ 11K) - Deprecated pandas-profiling package, use ydata-.. MIT +
Perspective (πŸ₯‰27 Β· ⭐ 6.3K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub]() (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 450): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 680 Β· πŸ“¦ 9 Β· πŸ“‹ 620 - 12% open Β· ⏱️ 17.05.2023): ``` - git clone https://github.com/ydataai/pandas-profiling - ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 990K / month Β· πŸ“¦ 190 Β· ⏱️ 31.01.2023): - ``` - pip install pandas-profiling - ``` -- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (πŸ“₯ 370K Β· ⏱️ 25.01.2023): - ``` - conda install -c conda-forge pandas-profiling + git clone https://github.com/finos/perspective ``` -
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Chartify (πŸ₯‰26 Β· ⭐ 3.3K) - Python library that makes it easy for data scientists to create.. Apache-2 - -- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 300 Β· πŸ“¦ 71 Β· πŸ“‹ 78 - 60% open Β· ⏱️ 21.04.2023): - +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 4.8K / month): ``` - git clone https://github.com/spotify/chartify + pip install perspective-python ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 3.4K / month Β· πŸ“¦ 10 Β· ⏱️ 13.12.2022): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 350K Β· ⏱️ 18.05.2023): ``` - pip install chartify + conda install -c conda-forge perspective ``` -- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 26K Β· ⏱️ 07.11.2020): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 1.6K / month): ``` - conda install -c conda-forge chartify + npm install @finos/perspective-jupyterlab ```
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openTSNE (πŸ₯‰26 Β· ⭐ 1.2K) - Extensible, parallel implementations of t-SNE. BSD-3 +
openTSNE (πŸ₯‰27 Β· ⭐ 1.2K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 140 Β· πŸ“¦ 570 Β· πŸ“‹ 120 - 1% open Β· ⏱️ 20.02.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 140 Β· πŸ“¦ 570 Β· πŸ“‹ 120 - 0% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 19K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2022): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 21K / month): ``` pip install opentsne ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 200K Β· ⏱️ 20.02.2023): +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 200K Β· ⏱️ 24.05.2023): ``` conda install -c conda-forge opentsne ```
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lets-plot (πŸ₯‰26 Β· ⭐ 870) - An open-source plotting library for statistical data. MIT +
lets-plot (πŸ₯‰27 Β· ⭐ 880) - An open-source plotting library for statistical data. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 45 Β· πŸ“₯ 450 Β· πŸ“¦ 32 Β· πŸ“‹ 380 - 25% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 45 Β· πŸ“₯ 460 Β· πŸ“¦ 32 Β· πŸ“‹ 380 - 25% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 6.9K / month Β· πŸ“¦ 1 Β· ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 9K / month Β· πŸ“¦ 1 Β· ⏱️ 15.12.2022): ``` pip install lets-plot ```
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Plotly-Resampler (πŸ₯‰26 Β· ⭐ 720) - Visualize large time series data with plotly.py. MIT +
Chartify (πŸ₯‰26 Β· ⭐ 3.3K) - Python library that makes it easy for data scientists to create.. Apache-2 -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 46 Β· πŸ“¦ 280 Β· πŸ“‹ 110 - 29% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 300 Β· πŸ“¦ 71 Β· πŸ“‹ 78 - 60% open Β· ⏱️ 21.04.2023): ``` - git clone https://github.com/predict-idlab/plotly-resampler + git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 310K / month Β· πŸ“¦ 5 Β· ⏱️ 29.06.2022): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 3.6K / month Β· πŸ“¦ 10 Β· ⏱️ 13.12.2022): ``` - pip install plotly-resampler + pip install chartify ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 18K Β· ⏱️ 10.04.2023): +- [Conda](https://anaconda.org/conda-forge/chartify) (πŸ“₯ 26K Β· ⏱️ 07.11.2020): ``` - conda install -c conda-forge plotly-resampler + conda install -c conda-forge chartify ```
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Pandas-Bokeh (πŸ₯‰25 Β· ⭐ 840) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT +
Plotly-Resampler (πŸ₯‰26 Β· ⭐ 730) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“¦ 460 Β· πŸ“‹ 100 - 31% open Β· ⏱️ 06.03.2023): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 47 Β· πŸ“¦ 290 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/PatrikHlobil/Pandas-Bokeh + git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 24K / month Β· πŸ“¦ 12 Β· ⏱️ 11.04.2021): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 300K / month Β· πŸ“¦ 5 Β· ⏱️ 29.06.2022): ``` - pip install pandas-bokeh + pip install plotly-resampler + ``` +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 18K Β· ⏱️ 10.04.2023): + ``` + conda install -c conda-forge plotly-resampler ```
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vega (πŸ₯‰25 Β· ⭐ 350) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +
AutoViz (πŸ₯‰25 Β· ⭐ 1.3K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 62 Β· πŸ“¦ 2 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 01.05.2023): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 440 Β· ⏱️ 16.05.2023): ``` - git clone https://github.com/vega/ipyvega + git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 9.3K / month Β· πŸ“¦ 84 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 30K / month): ``` - pip install vega + pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 550K Β· ⏱️ 12.04.2023): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 34K Β· ⏱️ 16.05.2023): ``` - conda install -c conda-forge vega + conda install -c conda-forge autoviz ```
HiPlot (πŸ₯‰24 Β· ⭐ 2.5K) - HiPlot makes understanding high dimensional data easy. MIT @@ -1331,46 +1232,42 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge hiplot ```
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Sweetviz (πŸ₯‰24 Β· ⭐ 2.4K Β· πŸ’€) - Visualize and compare datasets, target values and associations, with.. MIT +
Pandas-Bokeh (πŸ₯‰24 Β· ⭐ 840) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT -- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 240 Β· πŸ“‹ 120 - 38% open Β· ⏱️ 08.06.2022): +- [GitHub](https://github.com/PatrikHlobil/Pandas-Bokeh) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“¦ 460 Β· πŸ“‹ 100 - 32% open Β· ⏱️ 06.03.2023): ``` - git clone https://github.com/fbdesignpro/sweetviz - ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 67K / month Β· πŸ“¦ 10 Β· ⏱️ 14.06.2022): - ``` - pip install sweetviz + git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [Conda](https://anaconda.org/conda-forge/sweetviz) (πŸ“₯ 21K Β· ⏱️ 15.06.2022): +- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 23K / month): ``` - conda install -c conda-forge sweetviz + pip install pandas-bokeh ```
Multicore-TSNE (πŸ₯‰23 Β· ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 -- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 200 Β· πŸ“¦ 370 Β· πŸ“‹ 59 - 64% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 200 Β· πŸ“¦ 380 Β· πŸ“‹ 59 - 64% open Β· ⏱️ 17.05.2023): ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 3.3K / month Β· πŸ“¦ 23 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 5.4K / month Β· πŸ“¦ 23 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 24K Β· ⏱️ 09.11.2021): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 25K Β· ⏱️ 09.11.2021): ``` conda install -c conda-forge multicore-tsne ```
python-ternary (πŸ₯‰23 Β· ⭐ 640) - Ternary plotting library for python with matplotlib. MIT -- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 140 Β· πŸ“₯ 20 Β· πŸ“¦ 130 Β· πŸ“‹ 140 - 27% open Β· ⏱️ 31.12.2022): +- [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 140 Β· πŸ“₯ 20 Β· πŸ“¦ 140 Β· πŸ“‹ 140 - 27% open Β· ⏱️ 31.12.2022): ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 65K / month Β· πŸ“¦ 25 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 64K / month Β· πŸ“¦ 25 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1379,49 +1276,83 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge python-ternary ```
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Sweetviz (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Visualize and compare datasets, target values and associations, with.. MIT + +- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 240 Β· πŸ“‹ 110 - 36% open Β· ⏱️ 08.06.2022): + + ``` + git clone https://github.com/fbdesignpro/sweetviz + ``` +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 68K / month): + ``` + pip install sweetviz + ``` +- [Conda](https://anaconda.org/conda-forge/sweetviz) (πŸ“₯ 21K Β· ⏱️ 15.06.2022): + ``` + conda install -c conda-forge sweetviz + ``` +
Popmon (πŸ₯‰21 Β· ⭐ 450) - Monitor the stability of a Pandas or Spark dataframe. MIT -- [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 33 Β· πŸ“₯ 59 Β· πŸ“¦ 19 Β· πŸ“‹ 51 - 29% open Β· ⏱️ 15.02.2023): +- [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 33 Β· πŸ“₯ 79 Β· πŸ“¦ 19 Β· πŸ“‹ 51 - 29% open Β· ⏱️ 15.02.2023): ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 19.10.2022): ``` pip install popmon ```
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PyWaffle (πŸ₯‰20 Β· ⭐ 540 Β· πŸ’€) - Make Waffle Charts in Python. MIT +
vega (πŸ₯‰20 Β· ⭐ 350 Β· πŸ“‰) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [GitHub](https://github.com/gyli/PyWaffle) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 100 Β· πŸ“¦ 230 Β· πŸ“‹ 21 - 23% open Β· ⏱️ 08.06.2022): +- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 60 Β· πŸ“¦ 2 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 01.05.2023): + + ``` + git clone https://github.com/vega/ipyvega + ``` +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 8.9K / month): + ``` + pip install vega + ``` +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 550K Β· ⏱️ 12.04.2023): + ``` + conda install -c conda-forge vega + ``` +
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PyWaffle (πŸ₯‰19 Β· ⭐ 540 Β· πŸ’€) - Make Waffle Charts in Python. MIT + +- [GitHub](https://github.com/gyli/PyWaffle) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 99 Β· πŸ“¦ 230 Β· πŸ“‹ 21 - 23% open Β· ⏱️ 08.06.2022): ``` git clone https://github.com/gyli/PyWaffle ``` -- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 3.6K / month Β· πŸ“¦ 3 Β· ⏱️ 08.06.2022): +- [PyPi](https://pypi.org/project/pywaffle) (πŸ“₯ 3.5K / month): ``` pip install pywaffle ``` -- [Conda](https://anaconda.org/conda-forge/pywaffle) (πŸ“₯ 9.4K Β· ⏱️ 05.06.2022): +- [Conda](https://anaconda.org/conda-forge/pywaffle) (πŸ“₯ 9.5K Β· ⏱️ 05.06.2022): ``` conda install -c conda-forge pywaffle ```
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Show 14 hidden projects... +
Show 16 hidden projects... +- VisPy (πŸ₯ˆ33 Β· ⭐ 3.1K) - High-performance interactive 2D/3D data visualization library. ❗Unlicensed - cartopy (πŸ₯ˆ33 Β· ⭐ 1.2K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 -- Cufflinks (πŸ₯‰29 Β· ⭐ 2.8K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT +- Cufflinks (πŸ₯ˆ29 Β· ⭐ 2.8K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - HyperTools (πŸ₯‰25 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT -- PandasGUI (πŸ₯‰24 Β· ⭐ 2.9K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 +- pythreejs (πŸ₯‰25 Β· ⭐ 870) - A Jupyter - Three.js bridge. ❗Unlicensed - PDPbox (πŸ₯‰24 Β· ⭐ 740 Β· πŸ’€) - python partial dependence plot toolbox. MIT -- pivottablejs (πŸ₯‰23 Β· ⭐ 550 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT +- PandasGUI (πŸ₯‰22 Β· ⭐ 2.9K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 +- pivottablejs (πŸ₯‰21 Β· ⭐ 550 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. ❗Unlicensed - joypy (πŸ₯‰21 Β· ⭐ 480 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - vegafusion (πŸ₯‰21 Β· ⭐ 230) - Serverside scaling for Vega and Altair visualizations. BSD-3 -- ivis (πŸ₯‰19 Β· ⭐ 300) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - animatplot (πŸ₯‰18 Β· ⭐ 400 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT -- data-describe (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 +- ivis (πŸ₯‰18 Β· ⭐ 300) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT -- nx-altair (πŸ₯‰16 Β· ⭐ 210 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT +- data-describe (πŸ₯‰15 Β· ⭐ 290 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data.. ❗Unlicensed +- nx-altair (πŸ₯‰13 Β· ⭐ 210 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT - nptsne (πŸ₯‰11 Β· ⭐ 30 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1434,7 +1365,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡49 Β· ⭐ 100K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 20K Β· πŸ“₯ 140 Β· πŸ“¦ 71K Β· πŸ“‹ 12K - 5% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 20K Β· πŸ“₯ 140 Β· πŸ“¦ 73K Β· πŸ“‹ 12K - 4% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/huggingface/transformers @@ -1450,40 +1381,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
spaCy (πŸ₯‡44 Β· ⭐ 26K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 4K Β· πŸ“¦ 60K Β· πŸ“‹ 5.4K - 1% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 4.1K Β· πŸ“¦ 61K Β· πŸ“‹ 5.4K - 1% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 5.2M / month): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 5.2M / month Β· πŸ“¦ 2.7K Β· ⏱️ 20.01.2023): ``` pip install spacy ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 3M Β· ⏱️ 16.05.2023): +- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 3.1M Β· ⏱️ 16.05.2023): ``` conda install -c conda-forge spacy ```
Rasa (πŸ₯‡41 Β· ⭐ 16K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 4.2K Β· πŸ“¦ 3.3K Β· πŸ“‹ 6.6K - 0% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 4.2K Β· πŸ“¦ 3.4K Β· πŸ“‹ 6.6K - 0% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 140K / month): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 130K / month): ``` pip install rasa ```
gensim (πŸ₯‡41 Β· ⭐ 14K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.1K Β· πŸ“₯ 4.3K Β· πŸ“¦ 46K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 14.05.2023): +- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.3K Β· πŸ“₯ 4.4K Β· πŸ“¦ 46K Β· πŸ“‹ 1.8K - 21% open Β· ⏱️ 21.05.2023): ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.9M / month): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 3.9M / month Β· πŸ“¦ 3.1K Β· ⏱️ 21.12.2022): ``` pip install gensim ``` @@ -1494,7 +1425,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
nltk (πŸ₯‡41 Β· ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.6K Β· πŸ“¦ 190K Β· πŸ“‹ 1.7K - 13% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.6K Β· πŸ“¦ 200K Β· πŸ“‹ 1.7K - 13% open Β· ⏱️ 17.05.2023): ``` git clone https://github.com/nltk/nltk @@ -1508,57 +1439,41 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge nltk ```
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flair (πŸ₯‡40 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT +
fairseq (πŸ₯‡38 Β· ⭐ 25K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 2.5K Β· πŸ“‹ 2.1K - 3% open Β· ⏱️ 12.05.2023): - - ``` - git clone https://github.com/flairNLP/flair - ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 76K / month Β· πŸ“¦ 90 Β· ⏱️ 20.05.2022): - ``` - pip install flair - ``` -- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 18K Β· ⏱️ 13.04.2023): - ``` - conda install -c conda-forge python-flair - ``` -
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fairseq (πŸ₯‡37 Β· ⭐ 22K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT - -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 5.2K Β· πŸ“₯ 310 Β· πŸ“¦ 1.5K Β· πŸ“‹ 3.8K - 23% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 5.7K Β· πŸ“₯ 310 Β· πŸ“¦ 1.5K Β· πŸ“‹ 4K - 25% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 490K / month): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 510K / month Β· πŸ“¦ 54 Β· ⏱️ 27.06.2022): ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 32K Β· ⏱️ 12.05.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 33K Β· ⏱️ 12.05.2023): ``` conda install -c conda-forge fairseq ```
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sentencepiece (πŸ₯‡37 Β· ⭐ 7.4K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 +
sentencepiece (πŸ₯‡37 Β· ⭐ 7.5K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 950 Β· πŸ“₯ 27K Β· πŸ“¦ 29K Β· πŸ“‹ 620 - 2% open Β· ⏱️ 14.05.2023): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 930 Β· πŸ“₯ 27K Β· πŸ“¦ 30K Β· πŸ“‹ 620 - 2% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/google/sentencepiece ``` -- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 10M / month Β· πŸ“¦ 620 Β· ⏱️ 07.08.2022): +- [PyPi](https://pypi.org/project/sentencepiece) (πŸ“₯ 10M / month): ``` pip install sentencepiece ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 440K Β· ⏱️ 15.02.2023): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 450K Β· ⏱️ 24.05.2023): ``` conda install -c conda-forge sentencepiece ```
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haystack (πŸ₯‡36 Β· ⭐ 8.8K) - Haystack is an open source NLP framework to interact with your data.. Apache-2 +
haystack (πŸ₯‡36 Β· ⭐ 8.9K) - Haystack is an open source NLP framework to interact with your data.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.2K Β· πŸ“₯ 22 Β· πŸ“¦ 700 Β· πŸ“‹ 2.2K - 15% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.2K Β· πŸ“₯ 22 Β· πŸ“¦ 710 Β· πŸ“‹ 2.2K - 16% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/deepset-ai/haystack @@ -1570,12 +1485,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sentence-transformers (πŸ₯‡35 Β· ⭐ 11K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.9K Β· πŸ“¦ 8.5K Β· πŸ“‹ 1.7K - 54% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“¦ 8.8K Β· πŸ“‹ 1.8K - 55% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 2.1M / month Β· πŸ“¦ 270 Β· ⏱️ 26.06.2022): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 2.2M / month Β· πŸ“¦ 300 Β· ⏱️ 26.06.2022): ``` pip install sentence-transformers ``` @@ -1584,37 +1499,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sentence-transformers ```
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TextBlob (πŸ₯‡35 Β· ⭐ 8.6K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT +
OpenNMT (πŸ₯‡35 Β· ⭐ 6.1K) - Open Source Neural Machine Translation in PyTorch. MIT -- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 1.1K Β· πŸ“₯ 100 Β· πŸ“¦ 30K Β· πŸ“‹ 270 - 41% open Β· ⏱️ 11.03.2023): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 190 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/sloria/TextBlob - ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 860K / month Β· πŸ“¦ 1.4K Β· ⏱️ 22.10.2021): - ``` - pip install textblob - ``` -- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 220K Β· ⏱️ 24.02.2019): - ``` - conda install -c conda-forge textblob - ``` -
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torchtext (πŸ₯‡35 Β· ⭐ 3.3K) - Models, data loaders and abstractions for language processing,.. BSD-3 - -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 800 Β· πŸ“‹ 800 - 37% open Β· ⏱️ 16.05.2023): - - ``` - git clone https://github.com/pytorch/text + git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 470 Β· ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 3.8K / month Β· πŸ“¦ 9 Β· ⏱️ 19.12.2022): ``` - pip install torchtext + pip install OpenNMT-py ```
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spark-nlp (πŸ₯‡35 Β· ⭐ 3.2K) - State of the Art Natural Language Processing. Apache-2 +
spark-nlp (πŸ₯‡35 Β· ⭐ 3.3K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 660 Β· πŸ“¦ 290 Β· πŸ“‹ 780 - 4% open Β· ⏱️ 11.05.2023): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 660 Β· πŸ“¦ 290 Β· πŸ“‹ 790 - 4% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/JohnSnowLabs/spark-nlp @@ -1626,7 +1525,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
fastText (πŸ₯ˆ34 Β· ⭐ 25K) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 4.4K Β· πŸ“¦ 4.4K Β· πŸ“‹ 1.1K - 42% open Β· ⏱️ 17.04.2023): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 4.4K Β· πŸ“¦ 4.5K Β· πŸ“‹ 1.1K - 42% open Β· ⏱️ 17.04.2023): ``` git clone https://github.com/facebookresearch/fastText @@ -1635,7 +1534,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install fasttext ``` -- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 55K Β· ⏱️ 01.11.2022): +- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 56K Β· ⏱️ 01.11.2022): ``` conda install -c conda-forge fasttext ``` @@ -1647,7 +1546,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/allenai/allennlp ``` -- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 51K / month): +- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 50K / month): ``` pip install allennlp ``` @@ -1656,77 +1555,49 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge allennlp ```
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OpenNMT (πŸ₯ˆ34 Β· ⭐ 6.1K) - Open Source Neural Machine Translation in PyTorch. MIT +
ParlAI (πŸ₯ˆ34 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2K Β· πŸ“¦ 190 Β· πŸ“‹ 1.4K - 0% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2K Β· πŸ“¦ 190 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 18.05.2023): ``` - git clone https://github.com/OpenNMT/OpenNMT-py - ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 3.9K / month): - ``` - pip install OpenNMT-py - ``` -
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textacy (πŸ₯ˆ34 Β· ⭐ 2.1K) - NLP, before and after spaCy. Apache-2 - -- [GitHub](https://github.com/chartbeat-labs/textacy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 250 Β· πŸ“¦ 1.4K Β· πŸ“‹ 260 - 11% open Β· ⏱️ 03.04.2023): - - ``` - git clone https://github.com/chartbeat-labs/textacy - ``` -- [PyPi](https://pypi.org/project/textacy) (πŸ“₯ 140K / month Β· πŸ“¦ 110 Β· ⏱️ 06.12.2021): - ``` - pip install textacy + git clone https://github.com/facebookresearch/ParlAI ``` -- [Conda](https://anaconda.org/conda-forge/textacy) (πŸ“₯ 130K Β· ⏱️ 09.03.2023): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2.9K / month): ``` - conda install -c conda-forge textacy + pip install parlai ```
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jellyfish (πŸ₯ˆ34 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT +
TextBlob (πŸ₯ˆ34 Β· ⭐ 8.6K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 150 Β· πŸ“¦ 5.9K Β· πŸ“‹ 120 - 6% open Β· ⏱️ 10.04.2023): +- [GitHub](https://github.com/sloria/TextBlob) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 1.1K Β· πŸ“₯ 100 Β· πŸ“¦ 30K Β· πŸ“‹ 260 - 39% open Β· ⏱️ 11.03.2023): ``` - git clone https://github.com/jamesturk/jellyfish + git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 1.8M / month Β· πŸ“¦ 430 Β· ⏱️ 07.01.2022): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 840K / month): ``` - pip install jellyfish + pip install textblob ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 560K Β· ⏱️ 28.10.2022): +- [Conda](https://anaconda.org/conda-forge/textblob) (πŸ“₯ 220K Β· ⏱️ 24.02.2019): ``` - conda install -c conda-forge jellyfish + conda install -c conda-forge textblob ```
TensorFlow Text (πŸ₯ˆ34 Β· ⭐ 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 5.2K Β· πŸ“‹ 280 - 46% open Β· ⏱️ 12.05.2023): - - ``` - git clone https://github.com/tensorflow/text - ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.9M / month Β· πŸ“¦ 110 Β· ⏱️ 18.11.2022): - ``` - pip install tensorflow-text - ``` -
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ParlAI (πŸ₯ˆ33 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT - -- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 2K Β· πŸ“¦ 190 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 5.3K Β· πŸ“‹ 280 - 46% open Β· ⏱️ 12.05.2023): ``` - git clone https://github.com/facebookresearch/ParlAI + git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 2.2K / month): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.9M / month Β· πŸ“¦ 110 Β· ⏱️ 18.11.2022): ``` - pip install parlai + pip install tensorflow-text ```
Tokenizers (πŸ₯ˆ33 Β· ⭐ 7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 570 Β· πŸ“¦ 60 Β· πŸ“‹ 770 - 30% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 570 Β· πŸ“₯ 1 Β· πŸ“¦ 61 Β· πŸ“‹ 770 - 30% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/huggingface/tokenizers @@ -1742,7 +1613,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
NeMo (πŸ₯ˆ33 Β· ⭐ 6.7K) - NeMo: a toolkit for conversational AI. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.5K Β· πŸ“₯ 39K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.5K Β· πŸ“₯ 40K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/NVIDIA/NeMo @@ -1752,66 +1623,62 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install nemo-toolkit ```
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stanza (πŸ₯ˆ33 Β· ⭐ 6.6K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 +
jellyfish (πŸ₯ˆ32 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 850 Β· πŸ“¦ 1.8K Β· πŸ“‹ 800 - 11% open Β· ⏱️ 14.03.2023): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 150 Β· πŸ“¦ 6K Β· πŸ“‹ 120 - 6% open Β· ⏱️ 10.04.2023): ``` - git clone https://github.com/stanfordnlp/stanza + git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 160K / month Β· πŸ“¦ 84 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 1.8M / month): ``` - pip install stanza + pip install jellyfish ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 6.5K Β· ⏱️ 24.03.2023): +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 570K Β· ⏱️ 28.10.2022): ``` - conda install -c stanfordnlp stanza + conda install -c conda-forge jellyfish ```
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Dedupe (πŸ₯ˆ31 Β· ⭐ 3.7K) - A python library for accurate and scalable fuzzy matching, record.. MIT +
torchtext (πŸ₯ˆ31 Β· ⭐ 3.3K) - Models, data loaders and abstractions for language processing,.. BSD-3 -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 500 Β· πŸ“¦ 280 Β· πŸ“‹ 800 - 8% open Β· ⏱️ 17.02.2023): +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 760 Β· πŸ“‹ 750 - 32% open Β· ⏱️ 16.05.2023): ``` - git clone https://github.com/dedupeio/dedupe - ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 66K / month Β· πŸ“¦ 49 Β· ⏱️ 18.01.2023): - ``` - pip install dedupe + git clone https://github.com/pytorch/text ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 31K Β· ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 1.2M / month): ``` - conda install -c conda-forge dedupe + pip install torchtext ```
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rubrix (πŸ₯ˆ31 Β· ⭐ 1.9K) - Argilla: the open-source data curation platform for LLMs. Apache-2 +
rubrix (πŸ₯ˆ31 Β· ⭐ 2K) - Argilla: the open-source data curation platform for LLMs. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 180 Β· πŸ“¦ 430 Β· πŸ“‹ 1.1K - 18% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 180 Β· πŸ“¦ 490 Β· πŸ“‹ 1.1K - 18% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 840 / month Β· πŸ“¦ 1 Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 800 / month): ``` pip install rubrix ``` -- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 21K Β· ⏱️ 06.10.2022): +- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 22K Β· ⏱️ 06.10.2022): ``` conda install -c conda-forge rubrix ```
spacy-transformers (πŸ₯ˆ31 Β· ⭐ 1.2K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“¦ 1K Β· ⏱️ 26.04.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 150 Β· πŸ“¦ 1K Β· ⏱️ 22.05.2023): ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 250K / month): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 260K / month): ``` pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 14K Β· ⏱️ 18.04.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 15K Β· ⏱️ 23.05.2023): ``` conda install -c conda-forge spacy-transformers ``` @@ -1823,11 +1690,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 8.7M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 8.6M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): ``` pip install snowballstemmer ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 6.5M Β· ⏱️ 17.11.2021): +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 6.6M Β· ⏱️ 17.11.2021): ``` conda install -c conda-forge snowballstemmer ``` @@ -1839,26 +1706,38 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 8.2K / month): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 8.7K / month): ``` pip install deeppavlov ```
+
DeepKE (πŸ₯ˆ30 Β· ⭐ 1.9K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT + +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 500 Β· πŸ“¦ 16 Β· πŸ“‹ 250 - 0% open Β· ⏱️ 25.05.2023): + + ``` + git clone https://github.com/zjunlp/deepke + ``` +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 1.3K / month Β· ⏱️ 28.12.2022): + ``` + pip install deepke + ``` +
SciSpacy (πŸ₯ˆ30 Β· ⭐ 1.4K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 190 Β· πŸ“¦ 700 Β· πŸ“‹ 290 - 9% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 190 Β· πŸ“¦ 700 Β· πŸ“‹ 290 - 10% open Β· ⏱️ 16.05.2023): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 29K / month): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 31K / month Β· πŸ“¦ 30 Β· ⏱️ 07.09.2022): ``` pip install scispacy ```
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nlpaug (πŸ₯ˆ29 Β· ⭐ 3.9K Β· πŸ’€) - Data augmentation for NLP. MIT +
nlpaug (πŸ₯ˆ29 Β· ⭐ 4K Β· πŸ’€) - Data augmentation for NLP. MIT -- [GitHub](https://github.com/makcedward/nlpaug) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 430 Β· πŸ“¦ 720 Β· πŸ“‹ 210 - 27% open Β· ⏱️ 07.07.2022): +- [GitHub](https://github.com/makcedward/nlpaug) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 430 Β· πŸ“¦ 730 Β· πŸ“‹ 210 - 27% open Β· ⏱️ 07.07.2022): ``` git clone https://github.com/makcedward/nlpaug @@ -1867,19 +1746,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install nlpaug ``` -- [Conda](https://anaconda.org/conda-forge/nlpaug) (πŸ“₯ 9.3K Β· ⏱️ 30.01.2023): +- [Conda](https://anaconda.org/conda-forge/nlpaug) (πŸ“₯ 9.5K Β· ⏱️ 30.01.2023): ``` conda install -c conda-forge nlpaug ```
+
Dedupe (πŸ₯ˆ29 Β· ⭐ 3.7K) - A python library for accurate and scalable fuzzy matching, record.. MIT + +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 500 Β· πŸ“¦ 280 Β· πŸ“‹ 790 - 7% open Β· ⏱️ 17.02.2023): + + ``` + git clone https://github.com/dedupeio/dedupe + ``` +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 68K / month): + ``` + pip install dedupe + ``` +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 32K Β· ⏱️ 12.12.2022): + ``` + conda install -c conda-forge dedupe + ``` +
ftfy (πŸ₯ˆ29 Β· ⭐ 3.5K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 11K Β· πŸ“‹ 130 - 11% open Β· ⏱️ 25.10.2022): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 11K Β· πŸ“‹ 130 - 9% open Β· ⏱️ 25.10.2022): ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.3M / month Β· πŸ“¦ 580 Β· ⏱️ 09.02.2022): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 4.2M / month): ``` pip install ftfy ``` @@ -1890,50 +1785,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.5K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2 -- [GitHub](https://github.com/dmlc/gluon-nlp) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 500 Β· πŸ“¦ 1.2K Β· πŸ“‹ 530 - 44% open Β· ⏱️ 25.12.2022): +- [GitHub](https://github.com/dmlc/gluon-nlp) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 520 Β· πŸ“¦ 1.3K Β· πŸ“‹ 560 - 46% open Β· ⏱️ 25.12.2022): ``` git clone https://github.com/dmlc/gluon-nlp ``` -- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 100K / month): +- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 100K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): ``` pip install gluonnlp ```
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DeepKE (πŸ₯ˆ29 Β· ⭐ 1.9K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT - -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 490 Β· πŸ“¦ 16 Β· πŸ“‹ 250 - 0% open Β· ⏱️ 17.05.2023): - - ``` - git clone https://github.com/zjunlp/deepke - ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 1K / month Β· ⏱️ 28.12.2022): - ``` - pip install deepke - ``` -
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english-words (πŸ₯ˆ28 Β· ⭐ 9K) - A text file containing 479k English words for all your.. Unlicense +
Sumy (πŸ₯ˆ28 Β· ⭐ 3.2K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 1.6K Β· πŸ“‹ 120 - 72% open Β· ⏱️ 08.11.2022): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 500 Β· πŸ“¦ 1.9K Β· πŸ“‹ 110 - 15% open Β· ⏱️ 21.02.2023): ``` - git clone https://github.com/dwyl/english-words - ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 320K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): - ``` - pip install english-words + git clone https://github.com/miso-belica/sumy ``` -
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T5 (πŸ₯ˆ28 Β· ⭐ 5.2K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 - -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 680 Β· πŸ“¦ 170 Β· πŸ“‹ 440 - 22% open Β· ⏱️ 28.04.2023): - +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 31K / month): ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer + pip install sumy ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 22K / month Β· πŸ“¦ 3 Β· ⏱️ 18.10.2021): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 5K Β· ⏱️ 25.10.2022): ``` - pip install t5 + conda install -c conda-forge sumy ```
fastNLP (πŸ₯ˆ28 Β· ⭐ 2.9K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2 @@ -1943,35 +1818,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/fastnlp/fastNLP ``` -- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 15K / month Β· πŸ“¦ 4 Β· ⏱️ 04.02.2019): +- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 14K / month Β· πŸ“¦ 4 Β· ⏱️ 04.02.2019): ``` pip install fastnlp ```
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scattertext (πŸ₯ˆ28 Β· ⭐ 2.1K) - Beautiful visualizations of how language differs among document.. Apache-2 - -- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 380 Β· πŸ“‹ 97 - 19% open Β· ⏱️ 06.05.2023): - - ``` - git clone https://github.com/JasonKessler/scattertext - ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 8.2K / month Β· πŸ“¦ 10 Β· ⏱️ 26.03.2022): - ``` - pip install scattertext - ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 78K Β· ⏱️ 08.12.2022): - ``` - conda install -c conda-forge scattertext - ``` -
Ciphey (πŸ₯ˆ27 Β· ⭐ 13K) - Automatically decrypt encryptions without knowing the key or cipher, decode.. MIT -- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 780 Β· πŸ“‹ 300 - 14% open Β· ⏱️ 05.12.2022): +- [GitHub](https://github.com/Ciphey/Ciphey) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 790 Β· πŸ“‹ 300 - 14% open Β· ⏱️ 05.12.2022): ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 41K / month): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 37K / month): ``` pip install ciphey ``` @@ -1980,25 +1839,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we docker pull remnux/ciphey ```
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Sumy (πŸ₯ˆ27 Β· ⭐ 3.2K) - Module for automatic summarization of text documents and HTML pages. Apache-2 - -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 500 Β· πŸ“¦ 1.9K Β· πŸ“‹ 110 - 15% open Β· ⏱️ 21.02.2023): - - ``` - git clone https://github.com/miso-belica/sumy - ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 31K / month Β· πŸ“¦ 110 Β· ⏱️ 23.10.2022): - ``` - pip install sumy - ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 5K Β· ⏱️ 25.10.2022): - ``` - conda install -c conda-forge sumy - ``` -
TextDistance (πŸ₯ˆ27 Β· ⭐ 3.1K Β· πŸ’€) - Compute distance between sequences. 30+ algorithms, pure.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 240 Β· πŸ“₯ 900 Β· πŸ“¦ 4.1K Β· ⏱️ 18.09.2022): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 240 Β· πŸ“₯ 900 Β· πŸ“¦ 4.2K Β· ⏱️ 18.09.2022): ``` git clone https://github.com/life4/textdistance @@ -2007,34 +1850,54 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 380K Β· ⏱️ 18.09.2022): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 390K Β· ⏱️ 18.09.2022): ``` conda install -c conda-forge textdistance ```
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qdrant (πŸ₯‰26 Β· ⭐ 10K) - Qdrant - Vector Database for the next generation of AI applications... Apache-2 +
T5 (πŸ₯‰26 Β· ⭐ 5.2K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 480 Β· πŸ“‹ 500 - 15% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 680 Β· πŸ“¦ 170 Β· πŸ“‹ 400 - 14% open Β· ⏱️ 22.05.2023): ``` - git clone https://github.com/qdrant/qdrant + git clone https://github.com/google-research/text-to-text-transfer-transformer + ``` +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 22K / month): + ``` + pip install t5 ```
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OpenPrompt (πŸ₯‰26 Β· ⭐ 3.2K) - An Open-Source Framework for Prompt-Learning. Apache-2 +
OpenPrompt (πŸ₯‰26 Β· ⭐ 3.3K) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 350 Β· πŸ“¦ 48 Β· πŸ“‹ 230 - 25% open Β· ⏱️ 06.05.2023): +- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 360 Β· πŸ“¦ 52 Β· πŸ“‹ 220 - 24% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 3.1K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 3.3K / month): ``` pip install openprompt ```
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scattertext (πŸ₯‰26 Β· ⭐ 2.1K) - Beautiful visualizations of how language differs among document.. Apache-2 + +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 390 Β· πŸ“‹ 96 - 18% open Β· ⏱️ 06.05.2023): + + ``` + git clone https://github.com/JasonKessler/scattertext + ``` +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 8K / month): + ``` + pip install scattertext + ``` +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 78K Β· ⏱️ 08.12.2022): + ``` + conda install -c conda-forge scattertext + ``` +
PyTextRank (πŸ₯‰26 Β· ⭐ 2K Β· πŸ’€) - Python implementation of TextRank algorithms (textgraphs) for.. MIT -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 310 Β· πŸ“¦ 390 Β· πŸ“‹ 92 - 21% open Β· ⏱️ 27.07.2022): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 310 Β· πŸ“¦ 400 Β· πŸ“‹ 92 - 21% open Β· ⏱️ 27.07.2022): ``` git clone https://github.com/DerwenAI/pytextrank @@ -2051,11 +1914,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 2.5K / month Β· πŸ“¦ 13 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 4.9K / month Β· πŸ“¦ 13 Β· ⏱️ 08.12.2022): ``` pip install sense2vec ``` -- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 32K Β· ⏱️ 14.07.2021): +- [Conda](https://anaconda.org/conda-forge/sense2vec) (πŸ“₯ 33K Β· ⏱️ 14.07.2021): ``` conda install -c conda-forge sense2vec ``` @@ -2067,50 +1930,58 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.1K / month Β· πŸ“¦ 42 Β· ⏱️ 13.10.2022): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.5K / month Β· πŸ“¦ 42 Β· ⏱️ 13.10.2022): ``` pip install cltk ```
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promptsource (πŸ₯‰24 Β· ⭐ 1.7K) - Toolkit for creating, sharing and using natural language.. Apache-2 +
qdrant (πŸ₯‰25 Β· ⭐ 10K) - Qdrant - Vector Database for the next generation of AI applications... Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 240 Β· πŸ“¦ 39 Β· πŸ“‹ 190 - 27% open Β· ⏱️ 20.01.2023): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 500 Β· πŸ“₯ 19 Β· πŸ“‹ 500 - 13% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/bigscience-workshop/promptsource + git clone https://github.com/qdrant/qdrant + ``` +
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english-words (πŸ₯‰24 Β· ⭐ 9K) - A text file containing 479k English words for all your.. Unlicense + +- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 1.6K Β· πŸ“‹ 110 - 69% open Β· ⏱️ 08.11.2022): + + ``` + git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 330K / month): ``` - pip install promptsource + pip install english-words ```
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jiant (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - jiant is an nlp toolkit. MIT +
promptsource (πŸ₯‰24 Β· ⭐ 1.8K) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/nyu-mll/jiant) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 3 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 17.10.2022): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 240 Β· πŸ“¦ 40 Β· πŸ“‹ 190 - 27% open Β· ⏱️ 20.01.2023): ``` - git clone https://github.com/nyu-mll/jiant + git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 350 / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 3.7K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` - pip install jiant + pip install promptsource ```
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Sockeye (πŸ₯‰23 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 +
jiant (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - jiant is an nlp toolkit. MIT -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 300 Β· πŸ“₯ 16 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 02.03.2023): +- [GitHub](https://github.com/nyu-mll/jiant) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 280 Β· πŸ“¦ 3 Β· πŸ“‹ 550 - 12% open Β· ⏱️ 17.10.2022): ``` - git clone https://github.com/awslabs/sockeye + git clone https://github.com/nyu-mll/jiant ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 770 / month): +- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 330 / month Β· ⏱️ 10.05.2021): ``` - pip install sockeye + pip install jiant ```
YouTokenToMe (πŸ₯‰23 Β· ⭐ 880) - Unsupervised text tokenizer focused on computational efficiency. MIT -- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 71 Β· πŸ“¦ 440 Β· πŸ“‹ 61 - 59% open Β· ⏱️ 29.03.2023): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 72 Β· πŸ“¦ 450 Β· πŸ“‹ 61 - 59% open Β· ⏱️ 29.03.2023): ``` git clone https://github.com/vkcom/youtokentome @@ -2119,45 +1990,45 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install youtokentome ``` -- [Conda](https://anaconda.org/conda-forge/youtokentome) (πŸ“₯ 30K Β· ⏱️ 30.10.2022): +- [Conda](https://anaconda.org/conda-forge/youtokentome) (πŸ“₯ 31K Β· ⏱️ 30.10.2022): ``` conda install -c conda-forge youtokentome ```
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detoxify (πŸ₯‰23 Β· ⭐ 620) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
detoxify (πŸ₯‰23 Β· ⭐ 630) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 83 Β· πŸ“₯ 220K Β· πŸ“¦ 300 Β· πŸ“‹ 51 - 58% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 83 Β· πŸ“₯ 220K Β· πŸ“¦ 310 Β· πŸ“‹ 50 - 54% open Β· ⏱️ 15.05.2023): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 12K / month Β· πŸ“¦ 9 Β· ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 11K / month): ``` pip install detoxify ```
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gpt-2-simple (πŸ₯‰22 Β· ⭐ 3.3K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT +
PyText (πŸ₯‰22 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 -- [GitHub](https://github.com/minimaxir/gpt-2-simple) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 650 Β· πŸ“₯ 450 Β· πŸ“‹ 280 - 63% open Β· ⏱️ 22.05.2022): +- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 820 Β· πŸ“₯ 330 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 17.10.2022): ``` - git clone https://github.com/minimaxir/gpt-2-simple + git clone https://github.com/facebookresearch/pytext ``` -- [PyPi](https://pypi.org/project/gpt-2-simple) (πŸ“₯ 5.1K / month Β· πŸ“¦ 7 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 85 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): ``` - pip install gpt-2-simple + pip install pytext-nlp ```
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lightseq (πŸ₯‰22 Β· ⭐ 2.7K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 +
Texthero (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT -- [GitHub](https://github.com/bytedance/lightseq) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 660 Β· πŸ“‹ 260 - 58% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“₯ 110 Β· πŸ“‹ 140 - 55% open Β· ⏱️ 28.10.2022): ``` - git clone https://github.com/bytedance/lightseq + git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 16K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): ``` - pip install lightseq + pip install texthero ```
FARM (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 @@ -2167,7 +2038,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepset-ai/FARM ``` -- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 3.8K / month): +- [PyPi](https://pypi.org/project/farm) (πŸ“₯ 4K / month): ``` pip install farm ``` @@ -2176,32 +2047,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge farm ```
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small-text (πŸ₯‰22 Β· ⭐ 450) - Active Learning for Text Classification in Python. MIT +
Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 47 Β· πŸ“¦ 19 Β· πŸ“‹ 31 - 22% open Β· ⏱️ 13.05.2023): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 330 Β· πŸ“₯ 16 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 02.03.2023): ``` - git clone https://github.com/webis-de/small-text - ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 580 / month Β· ⏱️ 14.10.2022): - ``` - pip install small-text + git clone https://github.com/awslabs/sockeye ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 2.8K Β· ⏱️ 21.02.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 930 / month Β· πŸ“¦ 2 Β· ⏱️ 03.03.2023): ``` - conda install -c conda-forge small-text + pip install sockeye ```
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Texthero (πŸ₯‰21 Β· ⭐ 2.7K Β· πŸ’€) - Text preprocessing, representation and visualization from zero to.. MIT +
NLP Architect (πŸ₯‰21 Β· ⭐ 2.9K) - A model library for exploring state-of-the-art deep learning.. Apache-2 -- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“₯ 110 Β· πŸ“‹ 120 - 45% open Β· ⏱️ 28.10.2022): +- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 450 Β· πŸ“¦ 9 Β· πŸ“‹ 130 - 16% open Β· ⏱️ 07.11.2022): ``` - git clone https://github.com/jbesomi/texthero + git clone https://github.com/IntelLabs/nlp-architect ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 18K / month): +- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 210 / month Β· ⏱️ 12.04.2020): ``` - pip install texthero + pip install nlp-architect ```
fast-bert (πŸ₯‰21 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 @@ -2216,45 +2083,49 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install fast-bert ```
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NLP Architect (πŸ₯‰20 Β· ⭐ 2.9K) - A model library for exploring state-of-the-art deep learning.. Apache-2 +
finetune (πŸ₯‰20 Β· ⭐ 680) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/IntelLabs/nlp-architect) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 450 Β· πŸ“¦ 9 Β· πŸ“‹ 130 - 16% open Β· ⏱️ 07.11.2022): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 75 Β· πŸ“¦ 9 Β· πŸ“‹ 140 - 16% open Β· ⏱️ 18.05.2023): ``` - git clone https://github.com/IntelLabs/nlp-architect + git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 120 / month Β· ⏱️ 12.04.2020): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 81 / month): ``` - pip install nlp-architect + pip install finetune ```
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finetune (πŸ₯‰20 Β· ⭐ 680) - Scikit-learn style model finetuning for NLP. MPL-2.0 +
small-text (πŸ₯‰20 Β· ⭐ 460) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 75 Β· πŸ“¦ 9 Β· πŸ“‹ 140 - 16% open Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 47 Β· πŸ“¦ 19 Β· πŸ“‹ 31 - 22% open Β· ⏱️ 13.05.2023): ``` - git clone https://github.com/IndicoDataSolutions/finetune + git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 82 / month): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 650 / month Β· ⏱️ 14.10.2022): ``` - pip install finetune + pip install small-text + ``` +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 2.9K Β· ⏱️ 21.02.2023): + ``` + conda install -c conda-forge small-text ```
happy-transformer (πŸ₯‰20 Β· ⭐ 420) - A package built on top of Hugging Faces transformers.. Apache-2 huggingface -- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 54 Β· πŸ“¦ 160 Β· πŸ“‹ 120 - 22% open Β· ⏱️ 06.04.2023): +- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 55 Β· πŸ“¦ 160 Β· πŸ“‹ 120 - 22% open Β· ⏱️ 06.04.2023): ``` git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 4.8K / month Β· πŸ“¦ 5 Β· ⏱️ 06.02.2022): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 4.6K / month): ``` pip install happytransformer ```
TextBox (πŸ₯‰18 Β· ⭐ 970) - TextBox 2.0 is a text generation library with pre-trained language models. MIT -- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 5 Β· πŸ“‹ 63 - 6% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/RUCAIBox/TextBox) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 5 Β· πŸ“‹ 63 - 4% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/RUCAIBox/TextBox @@ -2266,12 +2137,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
textaugment (πŸ₯‰18 Β· ⭐ 310) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 55 Β· πŸ“₯ 57 Β· πŸ“¦ 50 Β· πŸ“‹ 20 - 35% open Β· ⏱️ 03.04.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 55 Β· πŸ“₯ 57 Β· πŸ“¦ 51 Β· πŸ“‹ 19 - 31% open Β· ⏱️ 03.04.2023): ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.4K / month): ``` pip install textaugment ``` @@ -2296,56 +2167,60 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install pytorch-translate ```
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VizSeq (πŸ₯‰12 Β· ⭐ 420) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰14 Β· ⭐ 420) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 52 Β· πŸ“¦ 6 Β· πŸ“‹ 15 - 40% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 54 Β· πŸ“¦ 6 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 08.05.2023): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 46 / month): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 65 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ```
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Show 36 hidden projects... +
Show 40 hidden projects... +- flair (πŸ₯‡38 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language.. ❗Unlicensed - ChatterBot (πŸ₯‡35 Β· ⭐ 13K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - fuzzywuzzy (πŸ₯ˆ33 Β· ⭐ 8.9K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 -- vaderSentiment (πŸ₯ˆ27 Β· ⭐ 4K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT -- polyglot (πŸ₯ˆ27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 -- langid (πŸ₯ˆ27 Β· ⭐ 2.1K Β· πŸ’€) - Stand-alone language identification system. BSD-3 -- underthesea (πŸ₯ˆ27 Β· ⭐ 1.1K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 -- flashtext (πŸ₯‰26 Β· ⭐ 5.4K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +- textacy (πŸ₯ˆ32 Β· ⭐ 2.1K) - NLP, before and after spaCy. ❗Unlicensed +- stanza (πŸ₯ˆ31 Β· ⭐ 6.6K) - Official Stanford NLP Python Library for Many Human Languages. ❗Unlicensed +- underthesea (πŸ₯ˆ27 Β· ⭐ 1.2K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 +- Snips NLU (πŸ₯‰26 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT +- flashtext (πŸ₯‰25 Β· ⭐ 5.4K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT +- vaderSentiment (πŸ₯‰25 Β· ⭐ 4K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary and.. MIT - pytorch-nlp (πŸ₯‰25 Β· ⭐ 2.2K Β· πŸ’€) - Basic Utilities for PyTorch Natural Language Processing.. BSD-3 -- whoosh (πŸ₯‰25 Β· ⭐ 410 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause -- textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT -- Snips NLU (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 +- polyglot (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗Unlicensed - MatchZoo (πŸ₯‰23 Β· ⭐ 3.8K Β· πŸ’€) - Facilitating the design, comparison and sharing of deep.. Apache-2 - Kashgari (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Kashgari is a production-level NLP Transfer learning.. Apache-2 +- langid (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed - pySBD (πŸ₯‰23 Β· ⭐ 620 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +- textgenrnn (πŸ₯‰22 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network.. ❗Unlicensed - Texar (πŸ₯‰22 Β· ⭐ 2.4K Β· πŸ’€) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 +- stop-words (πŸ₯‰22 Β· ⭐ 150 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 - DELTA (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT -- stop-words (πŸ₯‰21 Β· ⭐ 150 Β· πŸ’€) - Get list of common stop words in various languages in Python. BSD-3 -- PyText (πŸ₯‰20 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. ❗Unlicensed +- lightseq (πŸ₯‰20 Β· ⭐ 2.8K) - LightSeq: A High Performance Library for Sequence Processing.. ❗Unlicensed - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 -- NeuroNER (πŸ₯‰19 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT +- gpt-2-simple (πŸ₯‰19 Β· ⭐ 3.3K Β· πŸ’€) - Python package to easily retrain OpenAIs GPT-2 text-.. ❗Unlicensed - fastT5 (πŸ₯‰19 Β· ⭐ 460 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - numerizer (πŸ₯‰19 Β· ⭐ 200) - A Python module to convert natural language numerics into ints and.. MIT - DeepMatcher (πŸ₯‰18 Β· ⭐ 490 Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 -- nboost (πŸ₯‰17 Β· ⭐ 660 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 +- whoosh (πŸ₯‰17 Β· ⭐ 410 Β· πŸ’€) - Pure-Python full-text search library. ❗Unlicensed - Camphr (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy - skift (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT +- NeuroNER (πŸ₯‰16 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - textpipe (πŸ₯‰16 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT -- spacy-dbpedia-spotlight (πŸ₯‰15 Β· ⭐ 87) - A spaCy wrapper for DBpedia Spotlight. MIT spacy +- spacy-dbpedia-spotlight (πŸ₯‰15 Β· ⭐ 88) - A spaCy wrapper for DBpedia Spotlight. MIT spacy - BLINK (πŸ₯‰14 Β· ⭐ 1K Β· πŸ’€) - Entity Linker solution. MIT +- nboost (πŸ₯‰14 Β· ⭐ 660 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 +- NeuralQA (πŸ₯‰14 Β· ⭐ 220 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - TransferNLP (πŸ₯‰13 Β· ⭐ 290 Β· πŸ’€) - NLP library designed for reproducible experimentation.. MIT - ONNX-T5 (πŸ₯‰13 Β· ⭐ 230 Β· πŸ’€) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2 -- NeuralQA (πŸ₯‰13 Β· ⭐ 220 Β· πŸ’€) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT - textvec (πŸ₯‰12 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT -- Headliner (πŸ₯‰10 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed +- Headliner (πŸ₯‰11 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed

@@ -2357,55 +2232,39 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡47 Β· ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2K Β· πŸ“¦ 1.2M Β· πŸ“‹ 2.8K - 3% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2K Β· πŸ“¦ 1.2M Β· πŸ“‹ 2.8K - 3% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 56M / month Β· πŸ“¦ 65K Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 56M / month Β· πŸ“¦ 66K Β· ⏱️ 02.01.2023): ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 28M Β· ⏱️ 05.04.2023): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 28M Β· ⏱️ 21.05.2023): ``` conda install -c conda-forge pillow ```
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torchvision (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 - -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 6.7K Β· πŸ“₯ 25K Β· πŸ“‹ 3K - 29% open Β· ⏱️ 18.05.2023): - - ``` - git clone https://github.com/pytorch/vision - ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 5.6M / month Β· πŸ“¦ 4.3K Β· ⏱️ 15.12.2022): - ``` - pip install torchvision - ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 660K Β· ⏱️ 08.05.2023): - ``` - conda install -c conda-forge torchvision - ``` -
Kornia (πŸ₯‡38 Β· ⭐ 8.2K) - Differentiable Computer Vision Library. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 830 Β· πŸ“₯ 640 Β· πŸ“¦ 4.3K Β· πŸ“‹ 780 - 30% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 820 Β· πŸ“₯ 640 Β· πŸ“¦ 4.4K Β· πŸ“‹ 760 - 28% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.6M / month Β· πŸ“¦ 95 Β· ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.7M / month): ``` pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 80K Β· ⏱️ 21.04.2023): +- [Conda](https://anaconda.org/conda-forge/kornia) (πŸ“₯ 81K Β· ⏱️ 21.04.2023): ``` conda install -c conda-forge kornia ```
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imageio (πŸ₯‡38 Β· ⭐ 1.2K) - Python library for reading and writing image data. BSD-2 +
imageio (πŸ₯‡38 Β· ⭐ 1.3K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“₯ 620 Β· πŸ“¦ 90K Β· πŸ“‹ 550 - 15% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“₯ 680 Β· πŸ“¦ 91K Β· πŸ“‹ 550 - 15% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/imageio/imageio @@ -2414,31 +2273,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 4.9M Β· ⏱️ 02.05.2023): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 5M Β· ⏱️ 02.05.2023): ``` conda install -c conda-forge imageio ```
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MMDetection (πŸ₯‡37 Β· ⭐ 24K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 - -- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 8.6K Β· πŸ“‹ 7.1K - 10% open Β· ⏱️ 06.04.2023): - - ``` - git clone https://github.com/open-mmlab/mmdetection - ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 180K / month Β· πŸ“¦ 28 Β· ⏱️ 01.06.2022): - ``` - pip install mmdet - ``` -
MoviePy (πŸ₯‡37 Β· ⭐ 10K) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 25K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 22.04.2023): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.3K Β· πŸ“¦ 25K Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1.2M / month Β· πŸ“¦ 870 Β· ⏱️ 05.10.2020): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 700K / month): ``` pip install moviepy ``` @@ -2447,42 +2294,46 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge moviepy ```
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InsightFace (πŸ₯ˆ36 Β· ⭐ 14K) - State-of-the-art 2D and 3D Face Analysis Project. MIT +
torchvision (πŸ₯‡36 Β· ⭐ 14K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 4.2K Β· πŸ“₯ 5.4K Β· πŸ“¦ 310 Β· πŸ“‹ 2.2K - 57% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 530 Β· πŸ”€ 6.5K Β· πŸ“₯ 25K Β· πŸ“‹ 2.8K - 25% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/deepinsight/insightface + git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 300K / month Β· πŸ“¦ 7 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 5.8M / month): ``` - pip install insightface + pip install torchvision + ``` +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 670K Β· ⏱️ 08.05.2023): + ``` + conda install -c conda-forge torchvision ```
PyTorch Image Models (πŸ₯ˆ34 Β· ⭐ 25K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 4K Β· πŸ“₯ 4.5M Β· πŸ“‹ 720 - 7% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 4.1K Β· πŸ“₯ 4.5M Β· πŸ“‹ 730 - 8% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.3M / month): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.2M / month): ``` pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 66K Β· ⏱️ 14.05.2023): +- [Conda](https://anaconda.org/conda-forge/timm) (πŸ“₯ 68K Β· ⏱️ 14.05.2023): ``` conda install -c conda-forge timm ```
detectron2 (πŸ₯ˆ34 Β· ⭐ 25K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 6.7K Β· πŸ“¦ 1.1K Β· πŸ“‹ 3.3K - 10% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 6.4K Β· πŸ“¦ 1.1K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/facebookresearch/detectron2 ``` -- [PyPi](https://pypi.org/project/detectron2) (πŸ“¦ 6 Β· ⏱️ 06.02.2020): +- [PyPi](https://pypi.org/project/detectron2): ``` pip install detectron2 ``` @@ -2491,14 +2342,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge detectron2 ```
+
MMDetection (πŸ₯ˆ34 Β· ⭐ 24K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2 + +- [GitHub](https://github.com/open-mmlab/mmdetection) (πŸ‘¨β€πŸ’» 390 Β· πŸ”€ 7.8K Β· πŸ“‹ 7.1K - 9% open Β· ⏱️ 06.04.2023): + + ``` + git clone https://github.com/open-mmlab/mmdetection + ``` +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 170K / month): + ``` + pip install mmdet + ``` +
+
InsightFace (πŸ₯ˆ34 Β· ⭐ 15K) - State-of-the-art 2D and 3D Face Analysis Project. MIT + +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 4.3K Β· πŸ“₯ 11K Β· πŸ“¦ 310 Β· πŸ“‹ 2.2K - 56% open Β· ⏱️ 22.05.2023): + + ``` + git clone https://github.com/deepinsight/insightface + ``` +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 210K / month): + ``` + pip install insightface + ``` +
Albumentations (πŸ₯ˆ34 Β· ⭐ 12K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 770 - 45% open Β· ⏱️ 23.03.2023): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 760 - 45% open Β· ⏱️ 23.03.2023): ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 620K / month Β· πŸ“¦ 290 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 630K / month): ``` pip install albumentations ``` @@ -2509,92 +2384,92 @@ _Libraries for image & video processing, manipulation, and augmentation as well
PaddleSeg (πŸ₯ˆ34 Β· ⭐ 7.1K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 910 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 04.05.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.5K Β· πŸ“¦ 920 Β· πŸ“‹ 1.7K - 14% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/PaddlePaddle/PaddleSeg ``` -- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 3.8K / month Β· πŸ“¦ 3 Β· ⏱️ 30.11.2022): +- [PyPi](https://pypi.org/project/paddleseg) (πŸ“₯ 3.5K / month Β· πŸ“¦ 3 Β· ⏱️ 30.11.2022): ``` pip install paddleseg ```
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Face Recognition (πŸ₯ˆ33 Β· ⭐ 48K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT +
Wand (πŸ₯ˆ33 Β· ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/ageitgey/face_recognition) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 13K Β· πŸ“₯ 1.1K Β· πŸ“‹ 1.3K - 55% open Β· ⏱️ 10.06.2022): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 15K Β· πŸ“¦ 16K Β· πŸ“‹ 400 - 6% open Β· ⏱️ 05.03.2023): ``` - git clone https://github.com/ageitgey/face_recognition + git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/face_recognition) (πŸ“₯ 64K / month Β· πŸ“¦ 53 Β· ⏱️ 20.02.2020): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 710K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): ``` - pip install face_recognition + pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/face_recognition) (πŸ“₯ 16K Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 24K Β· ⏱️ 22.08.2022): ``` - conda install -c conda-forge face_recognition + conda install -c conda-forge wand ```
-
deepface (πŸ₯ˆ33 Β· ⭐ 6.3K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
PaddleDetection (πŸ₯ˆ32 Β· ⭐ 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 690 - 1% open Β· ⏱️ 11.05.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2.6K Β· πŸ“¦ 84 Β· πŸ“‹ 4.8K - 20% open Β· ⏱️ 22.05.2023): ``` - git clone https://github.com/serengil/deepface + git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 55K / month Β· πŸ“¦ 10 Β· ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 760 / month): ``` - pip install deepface + pip install paddledet ```
-
opencv-python (πŸ₯ˆ33 Β· ⭐ 3.5K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
deepface (πŸ₯ˆ32 Β· ⭐ 6.4K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 690 Β· πŸ“‹ 670 - 12% open Β· ⏱️ 16.03.2023): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.5K Β· πŸ“‹ 700 - 2% open Β· ⏱️ 11.05.2023): ``` - git clone https://github.com/opencv/opencv-python + git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 7.9M / month Β· πŸ“¦ 11K Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 56K / month Β· πŸ“¦ 12 Β· ⏱️ 24.01.2023): ``` - pip install opencv-python + pip install deepface ```
-
Wand (πŸ₯ˆ33 Β· ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT +
opencv-python (πŸ₯ˆ32 Β· ⭐ 3.5K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 14K Β· πŸ“¦ 16K Β· πŸ“‹ 400 - 6% open Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 690 Β· πŸ“‹ 670 - 13% open Β· ⏱️ 16.03.2023): ``` - git clone https://github.com/emcconville/wand - ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 710K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): - ``` - pip install wand + git clone https://github.com/opencv/opencv-python ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 24K Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 7.9M / month Β· πŸ“¦ 11K Β· ⏱️ 02.01.2023): ``` - conda install -c conda-forge wand + pip install opencv-python ```
-
PaddleDetection (πŸ₯ˆ32 Β· ⭐ 10K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +
Face Recognition (πŸ₯ˆ30 Β· ⭐ 48K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 2.6K Β· πŸ“¦ 79 Β· πŸ“‹ 4.9K - 22% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/ageitgey/face_recognition) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 13K Β· πŸ“₯ 1.1K Β· πŸ“‹ 1.3K - 54% open Β· ⏱️ 10.06.2022): ``` - git clone https://github.com/PaddlePaddle/PaddleDetection + git clone https://github.com/ageitgey/face_recognition ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 770 / month Β· πŸ“¦ 1 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/face_recognition) (πŸ“₯ 63K / month): ``` - pip install paddledet + pip install face_recognition + ``` +- [Conda](https://anaconda.org/conda-forge/face_recognition) (πŸ“₯ 16K Β· ⏱️ 30.04.2021): + ``` + conda install -c conda-forge face_recognition ```
-
imageai (πŸ₯ˆ31 Β· ⭐ 7.8K) - A python library built to empower developers to build applications and.. MIT +
imageai (πŸ₯ˆ30 Β· ⭐ 7.8K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 2.1K Β· πŸ“₯ 850K Β· πŸ“¦ 1.3K Β· πŸ“‹ 730 - 40% open Β· ⏱️ 03.03.2023): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 2.1K Β· πŸ“₯ 860K Β· πŸ“¦ 1.3K Β· πŸ“‹ 730 - 40% open Β· ⏱️ 03.03.2023): ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 10K / month Β· πŸ“¦ 18 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 11K / month Β· πŸ“¦ 18 Β· ⏱️ 02.01.2023): ``` pip install imageai ``` @@ -2610,19 +2485,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/dmlc/gluon-cv ``` -- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 540K / month Β· πŸ“¦ 61 Β· ⏱️ 03.10.2022): +- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 550K / month Β· πŸ“¦ 61 Β· ⏱️ 03.10.2022): ``` pip install gluoncv ```
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ImageHash (πŸ₯ˆ30 Β· ⭐ 2.7K) - A Python Perceptual Image Hashing Module. BSD-2 +
ImageHash (πŸ₯ˆ30 Β· ⭐ 2.8K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 9.1K Β· πŸ“‹ 120 - 7% open Β· ⏱️ 07.02.2023): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 9.2K Β· πŸ“‹ 120 - 4% open Β· ⏱️ 07.02.2023): ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.2M / month Β· πŸ“¦ 360 Β· ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.3M / month): ``` pip install ImageHash ``` @@ -2633,12 +2508,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
vit-pytorch (πŸ₯ˆ29 Β· ⭐ 14K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 2.3K Β· πŸ“¦ 250 Β· πŸ“‹ 220 - 47% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 2.3K Β· πŸ“¦ 250 Β· πŸ“‹ 230 - 47% open Β· ⏱️ 20.05.2023): ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 20K / month Β· πŸ“¦ 6 Β· ⏱️ 30.06.2022): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 21K / month Β· πŸ“¦ 6 Β· ⏱️ 30.06.2022): ``` pip install vit-pytorch ``` @@ -2650,19 +2525,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/timesler/facenet-pytorch ``` -- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 28K / month Β· πŸ“¦ 18 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 29K / month Β· πŸ“¦ 18 Β· ⏱️ 10.03.2021): ``` pip install facenet-pytorch ```
sahi (πŸ₯ˆ29 Β· ⭐ 2.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 390 Β· πŸ“₯ 15K Β· πŸ“¦ 430 Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 390 Β· πŸ“₯ 15K Β· πŸ“¦ 440 Β· ⏱️ 15.05.2023): ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 110K / month Β· πŸ“¦ 11 Β· ⏱️ 15.01.2023): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 100K / month Β· πŸ“¦ 11 Β· ⏱️ 15.01.2023): ``` pip install sahi ``` @@ -2673,12 +2548,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
lightly (πŸ₯ˆ29 Β· ⭐ 2.3K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 190 Β· πŸ“¦ 120 Β· πŸ“‹ 410 - 18% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 190 Β· πŸ“¦ 120 Β· πŸ“‹ 410 - 18% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/lightly-ai/lightly ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 5.7K / month Β· πŸ“¦ 4 Β· ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 6.4K / month Β· πŸ“¦ 4 Β· ⏱️ 31.01.2023): ``` pip install lightly ``` @@ -2697,12 +2572,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
doctr (πŸ₯‰28 Β· ⭐ 1.8K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 230 Β· πŸ“₯ 1.3M Β· πŸ“¦ 140 Β· πŸ“‹ 240 - 20% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 240 Β· πŸ“₯ 1.4M Β· πŸ“¦ 150 Β· πŸ“‹ 240 - 20% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 7.2K / month Β· πŸ“¦ 4 Β· ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 7K / month Β· πŸ“¦ 4 Β· ⏱️ 29.09.2022): ``` pip install python-doctr ``` @@ -2725,19 +2600,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
CellProfiler (πŸ₯‰28 Β· ⭐ 770) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“₯ 5K Β· πŸ“¦ 18 Β· πŸ“‹ 3.2K - 7% open Β· ⏱️ 03.04.2023): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“₯ 5K Β· πŸ“¦ 19 Β· πŸ“‹ 3.2K - 7% open Β· ⏱️ 03.04.2023): ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 720 / month Β· πŸ“¦ 1 Β· ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 740 / month Β· πŸ“¦ 1 Β· ⏱️ 15.12.2022): ``` pip install cellprofiler ```
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layout-parser (πŸ₯‰27 Β· ⭐ 3.6K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 +
layout-parser (πŸ₯‰27 Β· ⭐ 3.7K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 -- [GitHub](https://github.com/Layout-Parser/layout-parser) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 360 Β· πŸ“¦ 280 Β· πŸ“‹ 130 - 58% open Β· ⏱️ 06.08.2022): +- [GitHub](https://github.com/Layout-Parser/layout-parser) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 360 Β· πŸ“¦ 290 Β· πŸ“‹ 130 - 58% open Β· ⏱️ 06.08.2022): ``` git clone https://github.com/Layout-Parser/layout-parser @@ -2754,19 +2629,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 50K / month): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 52K / month): ``` pip install face-alignment ```
vidgear (πŸ₯‰26 Β· ⭐ 2.8K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 220 Β· πŸ“₯ 800 Β· πŸ“¦ 390 Β· πŸ“‹ 250 - 1% open Β· ⏱️ 26.01.2023): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 220 Β· πŸ“₯ 800 Β· πŸ“¦ 400 Β· πŸ“‹ 250 - 1% open Β· ⏱️ 26.01.2023): ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 6.6K / month Β· πŸ“¦ 9 Β· ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 7.7K / month Β· πŸ“¦ 9 Β· ⏱️ 26.01.2023): ``` pip install vidgear ``` @@ -2778,91 +2653,91 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 04.01.2023): ``` pip install norfair ```
Image Deduplicator (πŸ₯‰25 Β· ⭐ 4.5K) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 410 Β· πŸ“¦ 44 Β· πŸ“‹ 130 - 37% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 410 Β· πŸ“¦ 45 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 28.04.2023): ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 1.8K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2023): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 1.8K / month): ``` pip install imagededup ```
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segmentation_models (πŸ₯‰25 Β· ⭐ 4.3K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT +
pytorchvideo (πŸ₯‰25 Β· ⭐ 2.9K) - A deep learning library for video understanding research. Apache-2 -- [GitHub](https://github.com/qubvel/segmentation_models) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 970 Β· πŸ“‹ 510 - 47% open Β· ⏱️ 29.07.2022): +- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 340 Β· πŸ“‹ 180 - 45% open Β· ⏱️ 05.05.2023): ``` - git clone https://github.com/qubvel/segmentation_models + git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 25K / month Β· πŸ“¦ 28 Β· ⏱️ 10.01.2020): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 21K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): ``` - pip install segmentation_models + pip install pytorchvideo ```
MMF (πŸ₯‰24 Β· ⭐ 5.2K) - A modular framework for vision & language multimodal research from.. BSD-3 -- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 780 - 30% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 640 - 16% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 370 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 340 / month): ``` pip install mmf ```
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pytorchvideo (πŸ₯‰24 Β· ⭐ 2.9K) - A deep learning library for video understanding research. Apache-2 +
ffcv (πŸ₯‰24 Β· ⭐ 2.5K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/facebookresearch/pytorchvideo) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 340 Β· πŸ“‹ 160 - 40% open Β· ⏱️ 05.05.2023): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 150 Β· πŸ“¦ 23 Β· πŸ“‹ 230 - 31% open Β· ⏱️ 18.04.2023): ``` - git clone https://github.com/facebookresearch/pytorchvideo + git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 22K / month): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 860 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` - pip install pytorchvideo + pip install ffcv ```
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ffcv (πŸ₯‰24 Β· ⭐ 2.5K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 +
kubric (πŸ₯‰24 Β· ⭐ 1.9K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 150 Β· πŸ“¦ 22 Β· πŸ“‹ 230 - 32% open Β· ⏱️ 18.04.2023): +- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 170 Β· πŸ“¦ 2 Β· πŸ“‹ 180 - 29% open Β· ⏱️ 31.03.2023): ``` - git clone https://github.com/libffcv/ffcv + git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 780 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 15K / month Β· ⏱️ 06.07.2022): ``` - pip install ffcv + pip install kubric-nightly ```
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kubric (πŸ₯‰24 Β· ⭐ 1.9K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 +
segmentation_models (πŸ₯‰23 Β· ⭐ 4.3K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT -- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 170 Β· πŸ“¦ 2 Β· πŸ“‹ 180 - 29% open Β· ⏱️ 31.03.2023): +- [GitHub](https://github.com/qubvel/segmentation_models) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 970 Β· πŸ“‹ 510 - 47% open Β· ⏱️ 29.07.2022): ``` - git clone https://github.com/google-research/kubric + git clone https://github.com/qubvel/segmentation_models ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 14K / month Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/segmentation_models) (πŸ“₯ 26K / month): ``` - pip install kubric-nightly + pip install segmentation_models ```
Classy Vision (πŸ₯‰23 Β· ⭐ 1.6K) - An end-to-end PyTorch framework for image and video.. MIT -- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 270 Β· πŸ“‹ 77 - 16% open Β· ⏱️ 23.03.2023): +- [GitHub](https://github.com/facebookresearch/ClassyVision) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 280 Β· πŸ“‹ 77 - 16% open Β· ⏱️ 23.03.2023): ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2K / month): +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2.1K / month): ``` pip install classy_vision ``` @@ -2871,30 +2746,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge classy_vision ```
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icevision (πŸ₯‰23 Β· ⭐ 820) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2 - -- [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 130 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 07.12.2022): - - ``` - git clone https://github.com/airctic/icevision - ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 8.4K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): - ``` - pip install icevision - ``` -
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pyvips (πŸ₯‰23 Β· ⭐ 510) - python binding for libvips using cffi. MIT +
pyvips (πŸ₯‰23 Β· ⭐ 520) - python binding for libvips using cffi. MIT - [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 47 Β· πŸ“¦ 520 Β· πŸ“‹ 350 - 38% open Β· ⏱️ 11.05.2023): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 30K / month Β· πŸ“¦ 46 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 28K / month Β· πŸ“¦ 46 Β· ⏱️ 12.06.2022): ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 56K Β· ⏱️ 29.10.2022): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 57K Β· ⏱️ 29.10.2022): ``` conda install -c conda-forge pyvips ``` @@ -2906,94 +2769,95 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 420 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 430 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ```
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tensorflow-graphics (πŸ₯‰22 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 - -- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“‹ 240 - 61% open Β· ⏱️ 27.04.2023): - - ``` - git clone https://github.com/tensorflow/graphics - ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 4.3K / month Β· πŸ“¦ 8 Β· ⏱️ 03.12.2021): - ``` - pip install tensorflow-graphics - ``` -
pycls (πŸ₯‰22 Β· ⭐ 2.1K Β· πŸ’€) - Codebase for Image Classification Research, written in PyTorch. MIT -- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 13 Β· πŸ“‹ 81 - 30% open Β· ⏱️ 12.07.2022): +- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 13 Β· πŸ“‹ 79 - 29% open Β· ⏱️ 12.07.2022): ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 130K / month Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 130K / month): ``` pip install pycls ```
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PySlowFast (πŸ₯‰20 Β· ⭐ 5.7K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
icevision (πŸ₯‰22 Β· ⭐ 820) - An Agnostic Computer Vision Framework - Pluggable to any Training.. Apache-2 -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 1.1K Β· πŸ“¦ 10 Β· πŸ“‹ 620 - 55% open Β· ⏱️ 24.04.2023): +- [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 140 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 07.12.2022): ``` - git clone https://github.com/facebookresearch/SlowFast + git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 16 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 9.5K / month): ``` - pip install pyslowfast + pip install icevision ```
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image-match (πŸ₯‰20 Β· ⭐ 2.9K) - Quickly search over billions of images. Apache-2 +
tensorflow-graphics (πŸ₯‰20 Β· ⭐ 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2 -- [GitHub](https://github.com/rhsimplex/image-match) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 400 Β· πŸ“‹ 110 - 57% open Β· ⏱️ 06.12.2022): +- [GitHub](https://github.com/tensorflow/graphics) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 350 Β· πŸ“‹ 170 - 47% open Β· ⏱️ 27.04.2023): ``` - git clone https://github.com/ProvenanceLabs/image-match + git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 710 / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 4.4K / month): ``` - pip install image_match + pip install tensorflow-graphics ```
DEβ«ΆTR (πŸ₯‰19 Β· ⭐ 11K) - End-to-End Object Detection with Transformers. Apache-2 -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.9K Β· πŸ“‹ 490 - 41% open Β· ⏱️ 07.02.2023): +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2K Β· πŸ“‹ 490 - 41% open Β· ⏱️ 07.02.2023): ``` git clone https://github.com/facebookresearch/detr ```
+
PySlowFast (πŸ₯‰19 Β· ⭐ 5.7K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 + +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 1.1K Β· πŸ“¦ 10 Β· πŸ“‹ 610 - 54% open Β· ⏱️ 24.04.2023): + + ``` + git clone https://github.com/facebookresearch/SlowFast + ``` +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 14 / month): + ``` + pip install pyslowfast + ``` +
scenic (πŸ₯‰19 Β· ⭐ 2.2K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 310 Β· πŸ“‹ 220 - 68% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 310 Β· πŸ“‹ 140 - 52% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/google-research/scenic ```
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Show 17 hidden projects... +
Show 18 hidden projects... - scikit-image (πŸ₯‡42 Β· ⭐ 5.4K) - Image processing in Python. ❗Unlicensed -- imgaug (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- glfw (πŸ₯ˆ31 Β· ⭐ 11K Β· πŸ“‰) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- imgaug (πŸ₯‡35 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT +- glfw (πŸ₯‡35 Β· ⭐ 11K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - PyTorch3D (πŸ₯ˆ30 Β· ⭐ 7.3K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed -- imutils (πŸ₯ˆ30 Β· ⭐ 4.3K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT -- mtcnn (πŸ₯‰27 Β· ⭐ 2K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT +- imutils (πŸ₯ˆ29 Β· ⭐ 4.3K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT +- Pillow-SIMD (πŸ₯‰27 Β· ⭐ 2K Β· πŸ’€) - The friendly PIL fork. ❗️PIL - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT -- Pillow-SIMD (πŸ₯‰26 Β· ⭐ 2K Β· πŸ’€) - The friendly PIL fork. ❗️PIL -- Luminoth (πŸ₯‰24 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 -- Image Super-Resolution (πŸ₯‰23 Β· ⭐ 4.2K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 +- mtcnn (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP package. MIT +- Luminoth (πŸ₯‰23 Β· ⭐ 2.4K Β· πŸ’€) - Deep Learning toolkit for Computer Vision. BSD-3 - deep-daze (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Simple command line tool for text to image generation using.. MIT +- Image Super-Resolution (πŸ₯‰22 Β· ⭐ 4.2K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 - nude.py (πŸ₯‰21 Β· ⭐ 900 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰20 Β· ⭐ 590 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - Caer (πŸ₯‰18 Β· ⭐ 690 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT - solt (πŸ₯‰18 Β· ⭐ 260 Β· πŸ’€) - Streaming over lightweight data transformations. MIT -- HugsVision (πŸ₯‰16 Β· ⭐ 180) - HugsVision is a easy to use huggingface wrapper for state-of-the-.. MIT huggingface +- image-match (πŸ₯‰17 Β· ⭐ 2.9K) - Quickly search over billions of images. ❗Unlicensed - Torch Points 3D (πŸ₯‰14 Β· ⭐ 140 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3 +- HugsVision (πŸ₯‰13 Β· ⭐ 180) - HugsVision is a easy to use huggingface wrapper for state-of-the-.. MIT huggingface

@@ -3005,12 +2869,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 18K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 410 Β· πŸ”€ 3.2K Β· πŸ“‹ 3K - 22% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 3.2K Β· πŸ“‹ 3.1K - 24% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 180K / month Β· πŸ“¦ 77 Β· ⏱️ 01.12.2022): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 190K / month Β· πŸ“¦ 79 Β· ⏱️ 01.12.2022): ``` pip install torch-geometric ``` @@ -3021,68 +2885,68 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
dgl (πŸ₯‡37 Β· ⭐ 12K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.7K Β· πŸ“¦ 91 Β· πŸ“‹ 2.2K - 14% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.8K Β· πŸ“¦ 94 Β· πŸ“‹ 2.3K - 17% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 69K / month): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 66K / month Β· πŸ“¦ 67 Β· ⏱️ 20.09.2022): ``` pip install dgl ```
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pygraphistry (πŸ₯ˆ30 Β· ⭐ 1.8K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 - -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 190 Β· πŸ“¦ 89 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 04.05.2023): - - ``` - git clone https://github.com/graphistry/pygraphistry - ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3K / month Β· πŸ“¦ 5 Β· ⏱️ 23.12.2022): - ``` - pip install graphistry - ``` -
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ogb (πŸ₯ˆ30 Β· ⭐ 1.7K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT +
ogb (πŸ₯ˆ31 Β· ⭐ 1.7K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 380 Β· πŸ“¦ 830 Β· πŸ“‹ 270 - 5% open Β· ⏱️ 23.04.2023): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 380 Β· πŸ“¦ 850 Β· πŸ“‹ 270 - 5% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 24K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 28K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` -- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 23K Β· ⏱️ 07.04.2023): +- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 24K Β· ⏱️ 07.04.2023): ``` conda install -c conda-forge ogb ```
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Paddle Graph Learning (πŸ₯ˆ29 Β· ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 +
pygraphistry (πŸ₯ˆ30 Β· ⭐ 1.8K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“¦ 42 Β· πŸ“‹ 200 - 40% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 190 Β· πŸ“¦ 90 Β· πŸ“‹ 280 - 49% open Β· ⏱️ 04.05.2023): ``` - git clone https://github.com/PaddlePaddle/PGL + git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 03.08.2022): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 3.2K / month Β· πŸ“¦ 5 Β· ⏱️ 23.12.2022): ``` - pip install pgl + pip install graphistry ```
AmpliGraph (πŸ₯ˆ28 Β· ⭐ 1.9K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“¦ 35 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 08.03.2023): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“¦ 37 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 08.03.2023): ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 940 / month Β· ⏱️ 25.05.2021): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 890 / month Β· ⏱️ 25.05.2021): ``` pip install ampligraph ```
+
Paddle Graph Learning (πŸ₯ˆ28 Β· ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 + +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 300 Β· πŸ“¦ 42 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 17.05.2023): + + ``` + git clone https://github.com/PaddlePaddle/PGL + ``` +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.3K / month): + ``` + pip install pgl + ``` +
Spektral (πŸ₯ˆ27 Β· ⭐ 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT - [GitHub](https://github.com/danielegrattarola/spektral) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 210 Β· πŸ“‹ 260 - 22% open Β· ⏱️ 11.02.2023): @@ -3090,19 +2954,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 6.4K / month Β· πŸ“¦ 7 Β· ⏱️ 22.07.2022): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 6.5K / month Β· πŸ“¦ 7 Β· ⏱️ 22.07.2022): ``` pip install spektral ```
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PyKEEN (πŸ₯ˆ26 Β· ⭐ 1.2K) - A Python library for learning and evaluating knowledge graph embeddings. MIT +
PyKEEN (πŸ₯ˆ27 Β· ⭐ 1.2K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 160 Β· πŸ“₯ 160 Β· πŸ“‹ 500 - 19% open Β· ⏱️ 16.04.2023): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 160 Β· πŸ“₯ 160 Β· πŸ“‹ 510 - 19% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 2.5K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 2.4K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): ``` pip install pykeen ``` @@ -3114,7 +2978,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 310K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 340K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): ``` pip install torchbiggraph ``` @@ -3126,19 +2990,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.4K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.3K / month): ``` pip install torch-geometric-temporal ```
Node2Vec (πŸ₯‰23 Β· ⭐ 1.1K Β· πŸ’€) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 230 Β· πŸ“¦ 400 Β· πŸ“‹ 86 - 2% open Β· ⏱️ 19.10.2022): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 230 Β· πŸ“¦ 410 Β· πŸ“‹ 86 - 2% open Β· ⏱️ 19.10.2022): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 86K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 80K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -3147,6 +3011,22 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ```
+
torch-cluster (πŸ₯‰23 Β· ⭐ 650) - PyTorch Extension Library of Optimized Graph Cluster.. MIT + +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 120 Β· πŸ“‹ 130 - 19% open Β· ⏱️ 28.04.2023): + + ``` + git clone https://github.com/rusty1s/pytorch_cluster + ``` +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 13K / month Β· πŸ“¦ 36 Β· ⏱️ 11.03.2022): + ``` + pip install torch-cluster + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 66K Β· ⏱️ 01.05.2023): + ``` + conda install -c conda-forge pytorch_cluster + ``` +
graph4nlp (πŸ₯‰22 Β· ⭐ 1.6K) - Graph4nlp is the library for the easy use of Graph Neural.. Apache-2 - [GitHub](https://github.com/graph4ai/graph4nlp) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 190 Β· πŸ“‹ 170 - 6% open Β· ⏱️ 13.11.2022): @@ -3154,67 +3034,51 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graph4ai/graph4nlp ``` -- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 150 / month Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 170 / month Β· ⏱️ 20.01.2022): ``` pip install graph4nlp ```
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jraph (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 +
graph-nets (πŸ₯‰21 Β· ⭐ 5.3K Β· πŸ“ˆ) - Build Graph Nets in Tensorflow. Apache-2 -- [GitHub](https://github.com/deepmind/jraph) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 72 Β· πŸ“¦ 78 Β· πŸ“‹ 35 - 25% open Β· ⏱️ 31.08.2022): +- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 780 Β· πŸ“‹ 130 - 4% open Β· ⏱️ 12.12.2022): ``` - git clone https://github.com/deepmind/jraph - ``` -- [PyPi](https://pypi.org/project/jraph) (πŸ“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 12.08.2022): - ``` - pip install jraph + git clone https://github.com/deepmind/graph_nets ``` -- [Conda](https://anaconda.org/conda-forge/jraph) (πŸ“₯ 2.3K Β· ⏱️ 31.03.2023): +- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 2.5K / month Β· πŸ“¦ 8 Β· ⏱️ 29.01.2020): ``` - conda install -c conda-forge jraph + pip install graph-nets ```
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torch-cluster (πŸ₯‰21 Β· ⭐ 640) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
jraph (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 120 Β· πŸ“‹ 130 - 19% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/deepmind/jraph) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 73 Β· πŸ“¦ 82 Β· πŸ“‹ 35 - 25% open Β· ⏱️ 31.08.2022): ``` - git clone https://github.com/rusty1s/pytorch_cluster + git clone https://github.com/deepmind/jraph ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 13K / month): +- [PyPi](https://pypi.org/project/jraph) (πŸ“₯ 4.8K / month Β· πŸ“¦ 6 Β· ⏱️ 12.08.2022): ``` - pip install torch-cluster + pip install jraph ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 64K Β· ⏱️ 01.05.2023): +- [Conda](https://anaconda.org/conda-forge/jraph) (πŸ“₯ 2.4K Β· ⏱️ 31.03.2023): ``` - conda install -c conda-forge pytorch_cluster + conda install -c conda-forge jraph ```
deepsnap (πŸ₯‰21 Β· ⭐ 470) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 50 Β· πŸ“₯ 9 Β· πŸ“¦ 49 Β· πŸ“‹ 42 - 42% open Β· ⏱️ 27.03.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 51 Β· πŸ“₯ 9 Β· πŸ“¦ 49 Β· πŸ“‹ 42 - 42% open Β· ⏱️ 27.03.2023): ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 570 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 520 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ```
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graph-nets (πŸ₯‰18 Β· ⭐ 5.3K Β· πŸ“‰) - Build Graph Nets in Tensorflow. Apache-2 - -- [GitHub](https://github.com/deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 770 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 12.12.2022): - - ``` - git clone https://github.com/deepmind/graph_nets - ``` -- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 1.8K / month): - ``` - pip install graph-nets - ``` -
GraphGym (πŸ₯‰18 Β· ⭐ 1.4K) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - [GitHub](https://github.com/snap-stanford/GraphGym) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 160 Β· πŸ“₯ 22 Β· πŸ“¦ 2 Β· πŸ“‹ 39 - 30% open Β· ⏱️ 14.03.2023): @@ -3222,14 +3086,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/GraphGym ``` -- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 49 / month Β· ⏱️ 24.03.2022): +- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 48 / month Β· ⏱️ 24.03.2022): ``` pip install graphgym ```
GraphEmbedding (πŸ₯‰16 Β· ⭐ 3.3K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT -- [GitHub](https://github.com/shenweichen/GraphEmbedding) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 920 Β· πŸ“¦ 24 Β· πŸ“‹ 64 - 60% open Β· ⏱️ 21.06.2022): +- [GitHub](https://github.com/shenweichen/GraphEmbedding) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 930 Β· πŸ“¦ 26 Β· πŸ“‹ 64 - 60% open Β· ⏱️ 21.06.2022): ``` git clone https://github.com/shenweichen/GraphEmbedding @@ -3242,7 +3106,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/THUMNLab/AutoGL ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (⏱️ 23.12.2020): +- [PyPi](https://pypi.org/project/auto-graph-learning): ``` pip install auto-graph-learning ``` @@ -3254,12 +3118,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 71 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 70 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
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OpenKE (πŸ₯‰15 Β· ⭐ 3.4K) - An Open-Source Package for Knowledge Embedding (KE). MIT +
OpenKE (πŸ₯‰15 Β· ⭐ 3.5K) - An Open-Source Package for Knowledge Embedding (KE). MIT - [GitHub](https://github.com/thunlp/OpenKE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 950 Β· πŸ“‹ 370 - 4% open Β· ⏱️ 03.11.2022): @@ -3289,8 +3153,8 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - DeepGraph (πŸ₯‰16 Β· ⭐ 270 Β· πŸ’€) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - Euler (πŸ₯‰15 Β· ⭐ 2.8K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - GraphSAGE (πŸ₯‰14 Β· ⭐ 3K Β· πŸ’€) - Representation learning on large graphs using stochastic graph.. MIT +- GraphVite (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 - ptgnn (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT -- GraphVite (πŸ₯‰13 Β· ⭐ 1.1K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2

@@ -3302,7 +3166,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
espnet (πŸ₯‡36 Β· ⭐ 6.6K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.9K Β· πŸ“₯ 78 Β· πŸ“¦ 170 Β· πŸ“‹ 2.2K - 21% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 350 Β· πŸ”€ 1.9K Β· πŸ“₯ 78 Β· πŸ“¦ 180 Β· πŸ“‹ 2.2K - 21% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/espnet/espnet @@ -3312,125 +3176,121 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as pip install espnet ```
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speechbrain (πŸ₯‡35 Β· ⭐ 5.9K) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (πŸ₯‡36 Β· ⭐ 6K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.1K Β· πŸ“¦ 710 Β· πŸ“‹ 940 - 17% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.1K Β· πŸ“¦ 720 Β· πŸ“‹ 950 - 17% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 85K / month Β· πŸ“¦ 11 Β· ⏱️ 29.08.2022): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 93K / month Β· πŸ“¦ 11 Β· ⏱️ 29.08.2022): ``` pip install speechbrain ```
torchaudio (πŸ₯‡35 Β· ⭐ 2.1K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 560 Β· πŸ“‹ 850 - 27% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 560 Β· πŸ“‹ 860 - 27% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1M / month Β· πŸ“¦ 330 Β· ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 970K / month Β· πŸ“¦ 330 Β· ⏱️ 15.12.2022): ``` pip install torchaudio ```
Pydub (πŸ₯ˆ34 Β· ⭐ 7.2K) - Manipulate audio with a simple and easy high level interface. MIT -- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 930 Β· πŸ“¦ 26K Β· πŸ“‹ 560 - 53% open Β· ⏱️ 08.12.2022): +- [GitHub](https://github.com/jiaaro/pydub) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 940 Β· πŸ“¦ 27K Β· πŸ“‹ 560 - 53% open Β· ⏱️ 08.12.2022): ``` git clone https://github.com/jiaaro/pydub ``` -- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 5.8M / month Β· πŸ“¦ 1.1K Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 5.7M / month Β· πŸ“¦ 1.1K Β· ⏱️ 10.03.2021): ``` pip install pydub ``` -- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 50K Β· ⏱️ 13.03.2021): +- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 51K Β· ⏱️ 13.03.2021): ``` conda install -c conda-forge pydub ```
SpeechRecognition (πŸ₯ˆ34 Β· ⭐ 7.2K) - Speech recognition module for Python, supporting several.. BSD-3 -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.2K Β· πŸ“‹ 580 - 48% open Β· ⏱️ 13.03.2023): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“‹ 590 - 48% open Β· ⏱️ 13.03.2023): ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 470K / month Β· πŸ“¦ 770 Β· ⏱️ 04.12.2022): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 470K / month Β· πŸ“¦ 780 Β· ⏱️ 04.12.2022): ``` pip install SpeechRecognition ``` -- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 160K Β· ⏱️ 14.03.2023): +- [Conda](https://anaconda.org/conda-forge/speechrecognition) (πŸ“₯ 170K Β· ⏱️ 14.03.2023): ``` conda install -c conda-forge speechrecognition ```
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Coqui TTS (πŸ₯ˆ33 Β· ⭐ 12K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
Magenta (πŸ₯ˆ31 Β· ⭐ 18K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“₯ 850K Β· πŸ“‹ 590 - 5% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 440 Β· πŸ“‹ 960 - 38% open Β· ⏱️ 01.05.2023): ``` - git clone https://github.com/coqui-ai/TTS - ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 23K / month Β· πŸ“¦ 14 Β· ⏱️ 11.01.2023): - ``` - pip install tts + git clone https://github.com/magenta/magenta ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 7.9K Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 7K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2022): ``` - conda install -c conda-forge tts + pip install magenta ```
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spleeter (πŸ₯ˆ32 Β· ⭐ 23K) - Deezer source separation library including pretrained models. MIT +
Coqui TTS (πŸ₯ˆ31 Β· ⭐ 12K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.5K Β· πŸ“₯ 2.3M Β· πŸ“¦ 510 Β· πŸ“‹ 740 - 25% open Β· ⏱️ 06.04.2023): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.5K Β· πŸ“₯ 870K Β· πŸ“‹ 580 - 4% open Β· ⏱️ 22.05.2023): ``` - git clone https://github.com/deezer/spleeter + git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 07.09.2022): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 23K / month): ``` - pip install spleeter + pip install tts ``` -- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 75K Β· ⏱️ 30.06.2020): +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 8K Β· ⏱️ 15.12.2021): ``` - conda install -c conda-forge spleeter + conda install -c conda-forge tts ```
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librosa (πŸ₯ˆ32 Β· ⭐ 5.9K) - Python library for audio and music analysis. ISC +
spleeter (πŸ₯ˆ30 Β· ⭐ 23K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.5K Β· πŸ“₯ 2.4M Β· πŸ“¦ 510 Β· πŸ“‹ 740 - 25% open Β· ⏱️ 06.04.2023): ``` - git clone https://github.com/librosa/librosa + git clone https://github.com/deezer/spleeter ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.4M / month Β· πŸ“¦ 1.4K Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/spleeter) (πŸ“₯ 18K / month Β· πŸ“¦ 6 Β· ⏱️ 07.09.2022): ``` - pip install librosa + pip install spleeter ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 630K Β· ⏱️ 17.03.2023): +- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 76K Β· ⏱️ 30.06.2020): ``` - conda install -c conda-forge librosa + conda install -c conda-forge spleeter ```
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Magenta (πŸ₯ˆ31 Β· ⭐ 18K) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 +
audiomentations (πŸ₯ˆ29 Β· ⭐ 1.4K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 440 Β· πŸ“‹ 960 - 38% open Β· ⏱️ 01.05.2023): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 160 Β· πŸ“¦ 270 Β· πŸ“‹ 160 - 26% open Β· ⏱️ 10.05.2023): ``` - git clone https://github.com/magenta/magenta + git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 8.1K / month Β· πŸ“¦ 38 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 8.4K / month Β· πŸ“¦ 4 Β· ⏱️ 12.01.2023): ``` - pip install magenta + pip install audiomentations ```
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python-soundfile (πŸ₯ˆ30 Β· ⭐ 550) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
python-soundfile (πŸ₯ˆ29 Β· ⭐ 550) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 87 Β· πŸ“₯ 15K Β· πŸ“¦ 21K Β· πŸ“‹ 210 - 40% open Β· ⏱️ 24.03.2023): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 87 Β· πŸ“₯ 15K Β· πŸ“¦ 21K Β· πŸ“‹ 210 - 39% open Β· ⏱️ 24.03.2023): ``` git clone https://github.com/bastibe/python-soundfile @@ -3444,43 +3304,31 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ```
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audiomentations (πŸ₯ˆ29 Β· ⭐ 1.4K) - A Python library for audio data augmentation. Inspired by.. MIT - -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 160 Β· πŸ“¦ 260 Β· πŸ“‹ 160 - 26% open Β· ⏱️ 10.05.2023): - - ``` - git clone https://github.com/iver56/audiomentations - ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 8.4K / month Β· πŸ“¦ 4 Β· ⏱️ 12.01.2023): - ``` - pip install audiomentations - ``` -
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pyAudioAnalysis (πŸ₯‰28 Β· ⭐ 5.3K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 +
pyAudioAnalysis (πŸ₯ˆ28 Β· ⭐ 5.3K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - [GitHub](https://github.com/tyiannak/pyAudioAnalysis) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 1.1K Β· πŸ“¦ 350 Β· πŸ“‹ 310 - 60% open Β· ⏱️ 18.09.2022): ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 11K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 12K / month Β· πŸ“¦ 19 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
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tinytag (πŸ₯‰28 Β· ⭐ 600) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT +
tinytag (πŸ₯ˆ28 Β· ⭐ 600) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT -- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“¦ 770 Β· πŸ“‹ 100 - 15% open Β· ⏱️ 21.04.2023): +- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“¦ 780 Β· πŸ“‹ 100 - 15% open Β· ⏱️ 21.04.2023): ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 18K / month Β· πŸ“¦ 99 Β· ⏱️ 12.03.2022): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 19K / month Β· πŸ“¦ 100 Β· ⏱️ 12.03.2022): ``` pip install tinytag ```
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audioread (πŸ₯‰28 Β· ⭐ 440) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT +
audioread (πŸ₯ˆ28 Β· ⭐ 440) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT - [GitHub](https://github.com/beetbox/audioread) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“¦ 13K Β· πŸ“‹ 87 - 40% open Β· ⏱️ 18.11.2022): @@ -3491,31 +3339,47 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install audioread ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 630K Β· ⏱️ 29.10.2022): +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 640K Β· ⏱️ 29.10.2022): ``` conda install -c conda-forge audioread ```
+
librosa (πŸ₯‰27 Β· ⭐ 5.9K Β· πŸ“‰) - Python library for audio and music analysis. ISC + +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 860 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 16.05.2023): + + ``` + git clone https://github.com/librosa/librosa + ``` +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.5M / month): + ``` + pip install librosa + ``` +- [Conda](https://anaconda.org/conda-forge/librosa) (πŸ“₯ 630K Β· ⏱️ 17.03.2023): + ``` + conda install -c conda-forge librosa + ``` +
Porcupine (πŸ₯‰27 Β· ⭐ 3K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 420 Β· πŸ“¦ 18 Β· πŸ“‹ 450 - 0% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 420 Β· πŸ“¦ 19 Β· πŸ“‹ 450 - 0% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 4.8K / month Β· πŸ“¦ 12 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 3.5K / month Β· πŸ“¦ 12 Β· ⏱️ 28.06.2022): ``` pip install pvporcupine ```
DDSP (πŸ₯‰26 Β· ⭐ 2.5K) - DDSP: Differentiable Digital Signal Processing. Apache-2 -- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 300 Β· πŸ“¦ 39 Β· πŸ“‹ 150 - 23% open Β· ⏱️ 01.05.2023): +- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 300 Β· πŸ“¦ 39 Β· πŸ“‹ 160 - 24% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 30K / month Β· πŸ“¦ 1 Β· ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 38K / month Β· πŸ“¦ 1 Β· ⏱️ 04.10.2022): ``` pip install ddsp ``` @@ -3531,7 +3395,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/keunwoochoi/kapre ``` -- [PyPi](https://pypi.org/project/kapre) (πŸ“₯ 2K / month Β· πŸ“¦ 14 Β· ⏱️ 21.01.2022): +- [PyPi](https://pypi.org/project/kapre) (πŸ“₯ 1.9K / month Β· πŸ“¦ 14 Β· ⏱️ 21.01.2022): ``` pip install kapre ``` @@ -3543,19 +3407,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 3.7K / month Β· πŸ“¦ 3 Β· ⏱️ 09.10.2022): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 4K / month): ``` pip install nnAudio ```
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Julius (πŸ₯‰20 Β· ⭐ 340 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT +
Julius (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT -- [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 21 Β· πŸ“¦ 340 Β· πŸ“‹ 10 - 10% open Β· ⏱️ 19.09.2022): +- [GitHub](https://github.com/adefossez/julius) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 23 Β· πŸ“¦ 340 Β· πŸ“‹ 10 - 10% open Β· ⏱️ 19.09.2022): ``` git clone https://github.com/adefossez/julius ``` -- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 130K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/julius) (πŸ“₯ 160K / month): ``` pip install julius ``` @@ -3563,10 +3427,10 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Show 10 hidden projects... - DeepSpeech (πŸ₯ˆ34 Β· ⭐ 22K Β· πŸ’€) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 -- Essentia (πŸ₯‰28 Β· ⭐ 2.4K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 +- Essentia (πŸ₯ˆ28 Β· ⭐ 2.4K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 - aubio (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 -- Madmom (πŸ₯‰25 Β· ⭐ 1.1K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 - python_speech_features (πŸ₯‰23 Β· ⭐ 2.2K Β· πŸ’€) - This library provides common speech features for ASR.. MIT +- Madmom (πŸ₯‰23 Β· ⭐ 1.1K Β· πŸ’€) - Python audio and music signal processing library. ❗Unlicensed - TTS (πŸ₯‰22 Β· ⭐ 7.4K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - TimeSide (πŸ₯‰22 Β· ⭐ 350) - scalable audio processing framework and server written in Python. ❗️AGPL-3.0 - Dejavu (πŸ₯‰21 Β· ⭐ 6.1K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT @@ -3583,32 +3447,32 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡42 Β· ⭐ 11K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2K Β· πŸ“¦ 5.9K Β· πŸ“‹ 2.7K - 8% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.9K Β· πŸ“¦ 6K Β· πŸ“‹ 2.7K - 7% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.4M / month Β· πŸ“¦ 41 Β· ⏱️ 04.11.2022): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 1.5M / month): ``` pip install pydeck ``` -- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 360K Β· ⏱️ 04.11.2022): +- [Conda](https://anaconda.org/conda-forge/pydeck) (πŸ“₯ 370K Β· ⏱️ 04.11.2022): ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 450K / month Β· πŸ“¦ 450 Β· ⏱️ 14.05.2023): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 420K / month): ``` npm install deck.gl ```
GeoPandas (πŸ₯‡40 Β· ⭐ 3.7K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 820 Β· πŸ“₯ 1.8K Β· πŸ“¦ 22K Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 06.05.2023): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 780 Β· πŸ“₯ 1.9K Β· πŸ“¦ 22K Β· πŸ“‹ 1.4K - 23% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 4.3M / month Β· πŸ“¦ 1.5K Β· ⏱️ 10.12.2022): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 4.5M / month): ``` pip install geopandas ``` @@ -3619,12 +3483,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (πŸ₯‡39 Β· ⭐ 6.2K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“¦ 25K Β· πŸ“‹ 1K - 5% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“¦ 25K Β· πŸ“‹ 1K - 4% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 780K / month Β· πŸ“¦ 760 Β· ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 750K / month): ``` pip install folium ``` @@ -3635,44 +3499,44 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (πŸ₯ˆ37 Β· ⭐ 3.3K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 520 Β· πŸ“₯ 1.4K Β· πŸ“¦ 45K Β· πŸ“‹ 1.1K - 19% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 520 Β· πŸ“₯ 1.4K Β· πŸ“¦ 46K Β· πŸ“‹ 1.1K - 18% open Β· ⏱️ 20.05.2023): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 12M / month Β· πŸ“¦ 770 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 12M / month): ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 7.1M Β· ⏱️ 17.03.2023): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 7.3M Β· ⏱️ 17.03.2023): ``` conda install -c conda-forge shapely ```
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Rasterio (πŸ₯ˆ37 Β· ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
pyproj (πŸ₯ˆ36 Β· ⭐ 890) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 790 Β· πŸ“¦ 7.7K Β· πŸ“‹ 1.7K - 8% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 190 Β· πŸ“¦ 21K Β· πŸ“‹ 560 - 3% open Β· ⏱️ 19.05.2023): ``` - git clone https://github.com/rasterio/rasterio + git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 1.2M / month Β· πŸ“¦ 940 Β· ⏱️ 13.02.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 6.5M / month): ``` - pip install rasterio + pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 2.3M Β· ⏱️ 05.05.2023): +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 6M Β· ⏱️ 29.03.2023): ``` - conda install -c conda-forge rasterio + conda install -c conda-forge pyproj ```
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Fiona (πŸ₯ˆ36 Β· ⭐ 1K) - Fiona reads and writes geographic data files. BSD-3 +
Fiona (πŸ₯ˆ35 Β· ⭐ 1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 200 Β· πŸ“¦ 13K Β· πŸ“‹ 740 - 4% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 190 Β· πŸ“¦ 13K Β· πŸ“‹ 740 - 3% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 4.5M / month Β· πŸ“¦ 860 Β· ⏱️ 10.02.2023): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 4.8M / month): ``` pip install fiona ``` @@ -3681,82 +3545,50 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge fiona ```
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pyproj (πŸ₯ˆ36 Β· ⭐ 890) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
ipyleaflet (πŸ₯ˆ32 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 190 Β· πŸ“¦ 21K Β· πŸ“‹ 560 - 4% open Β· ⏱️ 25.04.2023): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 350 Β· πŸ“¦ 4.4K Β· πŸ“‹ 570 - 40% open Β· ⏱️ 10.02.2023): ``` - git clone https://github.com/pyproj4/pyproj - ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 6.3M / month Β· πŸ“¦ 1.9K Β· ⏱️ 13.12.2022): - ``` - pip install pyproj - ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 5.9M Β· ⏱️ 29.03.2023): - ``` - conda install -c conda-forge pyproj + git clone https://github.com/jupyter-widgets/ipyleaflet ``` -
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geopy (πŸ₯ˆ33 Β· ⭐ 4K) - Geocoding library for Python. MIT - -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 610 Β· πŸ“‹ 280 - 12% open Β· ⏱️ 13.11.2022): - +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 150K / month Β· πŸ“¦ 140 Β· ⏱️ 19.10.2022): ``` - git clone https://github.com/geopy/geopy + pip install ipyleaflet ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4M / month Β· πŸ“¦ 4K Β· ⏱️ 13.11.2022): +- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1M Β· ⏱️ 19.10.2022): ``` - pip install geopy + conda install -c conda-forge ipyleaflet ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1M Β· ⏱️ 13.11.2022): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 41K / month Β· πŸ“¦ 5 Β· ⏱️ 19.10.2022): ``` - conda install -c conda-forge geopy + npm install jupyter-leaflet ```
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ArcGIS API (πŸ₯ˆ32 Β· ⭐ 1.6K) - Documentation and samples for ArcGIS API for Python. Apache-2 +
ArcGIS API (πŸ₯‰30 Β· ⭐ 1.6K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1K Β· πŸ“₯ 8.2K Β· πŸ“‹ 590 - 9% open Β· ⏱️ 11.05.2023): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1K Β· πŸ“₯ 8.2K Β· πŸ“‹ 570 - 6% open Β· ⏱️ 11.05.2023): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 83K / month Β· πŸ“¦ 31 Β· ⏱️ 27.01.2023): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 89K / month): ``` pip install arcgis ``` -- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (πŸ“₯ 9.8K Β· ⭐ 40 Β· ⏱️ 17.06.2022): +- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (πŸ“₯ 10K Β· ⭐ 40 Β· ⏱️ 17.06.2022): ``` docker pull esridocker/arcgis-api-python-notebook ```
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ipyleaflet (πŸ₯ˆ32 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT - -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 350 Β· πŸ“¦ 4.4K Β· πŸ“‹ 570 - 40% open Β· ⏱️ 10.02.2023): - - ``` - git clone https://github.com/jupyter-widgets/ipyleaflet - ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 160K / month Β· πŸ“¦ 140 Β· ⏱️ 19.10.2022): - ``` - pip install ipyleaflet - ``` -- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (πŸ“₯ 1M Β· ⏱️ 19.10.2022): - ``` - conda install -c conda-forge ipyleaflet - ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 45K / month Β· πŸ“¦ 5 Β· ⏱️ 19.10.2022): - ``` - npm install jupyter-leaflet - ``` -
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geojson (πŸ₯‰30 Β· ⭐ 800) - Python bindings and utilities for GeoJSON. BSD-3 +
geojson (πŸ₯‰28 Β· ⭐ 800) - Python bindings and utilities for GeoJSON. BSD-3 -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 110 Β· πŸ“¦ 12K Β· πŸ“‹ 98 - 26% open Β· ⏱️ 03.05.2023): +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 110 Β· πŸ“¦ 13K Β· πŸ“‹ 93 - 22% open Β· ⏱️ 03.05.2023): ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.1M / month): ``` pip install geojson ``` @@ -3767,12 +3599,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (πŸ₯‰28 Β· ⭐ 480) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 68 Β· πŸ“¦ 670 Β· πŸ“‹ 330 - 35% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 70 Β· πŸ“¦ 680 Β· πŸ“‹ 320 - 33% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 5.8K / month Β· πŸ“¦ 32 Β· ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 6.2K / month Β· πŸ“¦ 33 Β· ⏱️ 17.01.2023): ``` pip install geoviews ``` @@ -3781,30 +3613,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge geoviews ```
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PySAL (πŸ₯‰26 Β· ⭐ 1.1K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 +
geopy (πŸ₯‰27 Β· ⭐ 4K Β· πŸ“‰) - Geocoding library for Python. MIT -- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“‹ 620 - 1% open Β· ⏱️ 15.03.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 590 Β· πŸ“‹ 270 - 9% open Β· ⏱️ 13.11.2022): ``` - git clone https://github.com/pysal/pysal + git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 15K / month Β· πŸ“¦ 36 Β· ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.1M / month): ``` - pip install pysal + pip install geopy ``` -- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 490K Β· ⏱️ 31.01.2023): +- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1M Β· ⏱️ 13.11.2022): ``` - conda install -c conda-forge pysal + conda install -c conda-forge geopy ```
pymap3d (πŸ₯‰25 Β· ⭐ 310) - pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef.. BSD-2 -- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 78 Β· πŸ“¦ 260 Β· πŸ“‹ 47 - 6% open Β· ⏱️ 05.03.2023): +- [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 78 Β· πŸ“¦ 270 Β· πŸ“‹ 47 - 6% open Β· ⏱️ 05.03.2023): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 71K / month Β· πŸ“¦ 19 Β· ⏱️ 03.07.2022): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 64K / month Β· πŸ“¦ 19 Β· ⏱️ 03.07.2022): ``` pip install pymap3d ``` @@ -3813,16 +3645,33 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge pymap3d ```
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Show 8 hidden projects... +
PySAL (πŸ₯‰24 Β· ⭐ 1.1K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 + +- [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 270 Β· πŸ“‹ 620 - 2% open Β· ⏱️ 15.03.2023): + + ``` + git clone https://github.com/pysal/pysal + ``` +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 16K / month): + ``` + pip install pysal + ``` +- [Conda](https://anaconda.org/conda-forge/pysal) (πŸ“₯ 490K Β· ⏱️ 31.01.2023): + ``` + conda install -c conda-forge pysal + ``` +
+
Show 9 hidden projects... +- Rasterio (πŸ₯ˆ36 Β· ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. ❗Unlicensed - Geocoder (πŸ₯ˆ32 Β· ⭐ 1.5K Β· πŸ’€) - Python Geocoder. MIT -- Satpy (πŸ₯‰30 Β· ⭐ 920) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Satpy (πŸ₯‰31 Β· ⭐ 920) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰29 Β· ⭐ 880) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - EarthPy (πŸ₯‰26 Β· ⭐ 440 Β· πŸ’€) - A package built to support working with spatial data using open.. BSD-3 - prettymaps (πŸ₯‰24 Β· ⭐ 9.8K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 -- gmaps (πŸ₯‰23 Β· ⭐ 750 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 +- gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - Mapbox GL (πŸ₯‰23 Β· ⭐ 630 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT -- geoplotlib (πŸ₯‰21 Β· ⭐ 990 Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT +- geoplotlib (πŸ₯‰19 Β· ⭐ 990 Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT

@@ -3834,12 +3683,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡38 Β· ⭐ 9.5K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 1.9K Β· πŸ“¦ 23K Β· πŸ“‹ 1.1K - 16% open Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 1.8K Β· πŸ“¦ 23K Β· πŸ“‹ 1.1K - 15% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 640K / month Β· πŸ“¦ 240 Β· ⏱️ 16.06.2022): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 650K / month): ``` pip install yfinance ``` @@ -3848,53 +3697,53 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c ranaroussi yfinance ```
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ta (πŸ₯ˆ30 Β· ⭐ 3.6K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT +
Qlib (πŸ₯ˆ29 Β· ⭐ 11K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 780 Β· πŸ“¦ 2.1K Β· πŸ“‹ 230 - 56% open Β· ⏱️ 23.08.2022): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.9K Β· πŸ“₯ 340 Β· πŸ“‹ 720 - 26% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/bukosabino/ta - ``` -- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 67K / month Β· πŸ“¦ 42 Β· ⏱️ 23.08.2022): - ``` - pip install ta + git clone https://github.com/microsoft/qlib ``` -- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 14K Β· ⏱️ 23.08.2022): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2.9K / month): ``` - conda install -c conda-forge ta + pip install pyqlib ```
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Qlib (πŸ₯ˆ29 Β· ⭐ 11K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT +
ta (πŸ₯ˆ29 Β· ⭐ 3.6K Β· πŸ’€) - Technical Analysis Library using Pandas and Numpy. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.9K Β· πŸ“₯ 340 Β· πŸ“‹ 740 - 27% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/bukosabino/ta) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 780 Β· πŸ“¦ 2.1K Β· πŸ“‹ 230 - 56% open Β· ⏱️ 23.08.2022): ``` - git clone https://github.com/microsoft/qlib + git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/ta) (πŸ“₯ 66K / month Β· πŸ“¦ 42 Β· ⏱️ 23.08.2022): ``` - pip install pyqlib + pip install ta + ``` +- [Conda](https://anaconda.org/conda-forge/ta) (πŸ“₯ 14K Β· ⏱️ 23.08.2022): + ``` + conda install -c conda-forge ta ```
IB-insync (πŸ₯ˆ29 Β· ⭐ 2.2K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 550 Β· πŸ“‹ 490 - 1% open Β· ⏱️ 05.05.2023): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 550 Β· πŸ“‹ 500 - 1% open Β· ⏱️ 05.05.2023): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 17K / month Β· πŸ“¦ 24 Β· ⏱️ 16.12.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 18K / month Β· πŸ“¦ 24 Β· ⏱️ 16.12.2022): ``` pip install ib_insync ``` -- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 30K Β· ⏱️ 30.04.2023): +- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 31K Β· ⏱️ 30.04.2023): ``` conda install -c conda-forge ib-insync ```
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bt (πŸ₯ˆ28 Β· ⭐ 1.7K) - bt - flexible backtesting for Python. MIT +
bt (πŸ₯ˆ29 Β· ⭐ 1.7K) - bt - flexible backtesting for Python. MIT -- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 360 Β· πŸ“¦ 1.5K Β· πŸ“‹ 320 - 23% open Β· ⏱️ 30.04.2023): +- [GitHub](https://github.com/pmorissette/bt) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 360 Β· πŸ“¦ 1.5K Β· πŸ“‹ 320 - 23% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/pmorissette/bt @@ -3903,14 +3752,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install bt ``` -- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 14K Β· ⏱️ 12.11.2022): +- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 15K Β· ⏱️ 12.11.2022): ``` conda install -c conda-forge bt ```
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ffn (πŸ₯ˆ28 Β· ⭐ 1.5K) - ffn - a financial function library for Python. MIT +
ffn (πŸ₯ˆ29 Β· ⭐ 1.5K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 260 Β· πŸ“¦ 320 Β· πŸ“‹ 110 - 19% open Β· ⏱️ 21.12.2022): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 260 Β· πŸ“¦ 320 Β· πŸ“‹ 110 - 18% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/pmorissette/ffn @@ -3919,47 +3768,31 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 3.4K Β· ⏱️ 22.04.2021): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 3.5K Β· ⏱️ 22.04.2021): ``` conda install -c conda-forge ffn ```
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Alpha Vantage (πŸ₯‰26 Β· ⭐ 3.9K) - A python wrapper for Alpha Vantage API for financial data. MIT - -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 670 Β· πŸ“‹ 270 - 2% open Β· ⏱️ 25.12.2022): - - ``` - git clone https://github.com/RomelTorres/alpha_vantage - ``` -- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 24K / month Β· πŸ“¦ 29 Β· ⏱️ 21.12.2020): - ``` - pip install alpha_vantage - ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 3.5K Β· ⏱️ 14.01.2021): - ``` - conda install -c conda-forge alpha_vantage - ``` -
stockstats (πŸ₯‰26 Β· ⭐ 1.1K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 280 Β· πŸ“¦ 840 Β· πŸ“‹ 97 - 16% open Β· ⏱️ 10.02.2023): +- [GitHub](https://github.com/jealous/stockstats) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 270 Β· πŸ“¦ 850 Β· πŸ“‹ 97 - 16% open Β· ⏱️ 10.02.2023): ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 11K / month Β· πŸ“¦ 30 Β· ⏱️ 19.11.2022): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 9.9K / month Β· πŸ“¦ 30 Β· ⏱️ 19.11.2022): ``` pip install stockstats ```
TensorTrade (πŸ₯‰25 Β· ⭐ 4.2K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 -- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 980 Β· πŸ“¦ 45 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 23.08.2022): +- [GitHub](https://github.com/tensortrade-org/tensortrade) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 980 Β· πŸ“¦ 46 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 23.08.2022): ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 420 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (πŸ“₯ 610 / month Β· πŸ“¦ 1 Β· ⏱️ 10.05.2021): ``` pip install tensortrade ``` @@ -3975,33 +3808,37 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 1.1K / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 990 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): ``` pip install pyalgotrade ```
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Crypto Signals (πŸ₯‰22 Β· ⭐ 4.4K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT +
Alpha Vantage (πŸ₯‰24 Β· ⭐ 3.9K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“‹ 270 - 24% open Β· ⏱️ 09.08.2022): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 670 Β· πŸ“‹ 260 - 1% open Β· ⏱️ 25.12.2022): ``` - git clone https://github.com/CryptoSignal/crypto-signal + git clone https://github.com/RomelTorres/alpha_vantage ``` -- [Docker Hub](https://hub.docker.com/r/shadowreaver/crypto-signal) (πŸ“₯ 140K Β· ⭐ 8 Β· ⏱️ 03.09.2020): +- [PyPi](https://pypi.org/project/alpha_vantage) (πŸ“₯ 23K / month): ``` - docker pull shadowreaver/crypto-signal + pip install alpha_vantage + ``` +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 3.5K Β· ⏱️ 14.01.2021): + ``` + conda install -c conda-forge alpha_vantage ```
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tf-quant-finance (πŸ₯‰22 Β· ⭐ 3.9K) - High-performance TensorFlow library for quantitative.. Apache-2 +
Crypto Signals (πŸ₯‰23 Β· ⭐ 4.4K Β· πŸ’€) - Github.com/CryptoSignal - Trading & Technical Analysis Bot -.. MIT -- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 520 Β· πŸ“‹ 60 - 53% open Β· ⏱️ 20.03.2023): +- [GitHub](https://github.com/CryptoSignal/Crypto-Signal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 1.2K Β· πŸ“‹ 270 - 24% open Β· ⏱️ 09.08.2022): ``` - git clone https://github.com/google/tf-quant-finance + git clone https://github.com/CryptoSignal/crypto-signal ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [Docker Hub](https://hub.docker.com/r/shadowreaver/crypto-signal) (πŸ“₯ 140K Β· ⭐ 8 Β· ⏱️ 03.09.2020): ``` - pip install tf-quant-finance + docker pull shadowreaver/crypto-signal ```
finmarketpy (πŸ₯‰22 Β· ⭐ 3.1K) - Python library for backtesting trading strategies & analyzing.. Apache-2 @@ -4011,22 +3848,34 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 230 / month Β· ⏱️ 07.10.2021): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 270 / month Β· ⏱️ 07.10.2021): ``` pip install finmarketpy ```
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tf-quant-finance (πŸ₯‰21 Β· ⭐ 3.9K) - High-performance TensorFlow library for quantitative.. Apache-2 + +- [GitHub](https://github.com/google/tf-quant-finance) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 490 Β· πŸ“‹ 51 - 45% open Β· ⏱️ 20.03.2023): + + ``` + git clone https://github.com/google/tf-quant-finance + ``` +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 1K / month): + ``` + pip install tf-quant-finance + ``` +
Show 12 hidden projects... - zipline (πŸ₯‡32 Β· ⭐ 16K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 - pyfolio (πŸ₯‡31 Β· ⭐ 5K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 -- arch (πŸ₯‡31 Β· ⭐ 1.1K) - ARCH models in Python. ❗️NCSA +- arch (πŸ₯‡31 Β· ⭐ 1.1K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ30 Β· ⭐ 11K) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - Alphalens (πŸ₯‰27 Β· ⭐ 2.7K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 - empyrical (πŸ₯‰27 Β· ⭐ 1.1K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 -- Enigma Catalyst (πŸ₯‰25 Β· ⭐ 2.4K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 +- Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.4K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - FinTA (πŸ₯‰23 Β· ⭐ 1.9K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 -- Backtesting.py (πŸ₯‰22 Β· ⭐ 3.6K) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- Backtesting.py (πŸ₯‰22 Β· ⭐ 3.7K) - Backtest trading strategies in Python. ❗️AGPL-3.0 - FinQuant (πŸ₯‰19 Β· ⭐ 960 Β· πŸ’€) - A program for financial portfolio management, analysis and.. MIT - surpriver (πŸ₯‰12 Β· ⭐ 1.6K Β· πŸ’€) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (πŸ₯‰8 Β· ⭐ 130 Β· πŸ’€) - Python package to generate stock portfolios. ❗️GPL-3.0 @@ -4041,83 +3890,99 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡38 Β· ⭐ 6.5K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.1K Β· πŸ“₯ 79 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.7K - 34% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.1K Β· πŸ“₯ 80 Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.7K - 34% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 1.1M / month Β· πŸ“¦ 41 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 1.1M / month Β· πŸ“¦ 43 Β· ⏱️ 30.01.2023): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 480K Β· ⏱️ 14.05.2023): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 500K Β· ⏱️ 14.05.2023): ``` conda install -c conda-forge sktime-all-extras ```
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Prophet (πŸ₯‡35 Β· ⭐ 16K) - Tool for producing high quality forecasts for time series data that has.. MIT +
NeuralProphet (πŸ₯‡33 Β· ⭐ 3K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.4K Β· πŸ“₯ 1.5K Β· πŸ“‹ 2K - 16% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 410 Β· πŸ“¦ 240 Β· πŸ“‹ 480 - 12% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/facebook/prophet + git clone https://github.com/ourownstory/neural_prophet + ``` +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 170K / month Β· πŸ“¦ 2 Β· ⏱️ 15.01.2023): ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 1.4M / month Β· πŸ“¦ 130 Β· ⏱️ 05.09.2020): + pip install neuralprophet ``` - pip install fbprophet +
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pmdarima (πŸ₯‡33 Β· ⭐ 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT + +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 220 Β· πŸ“¦ 5.3K Β· πŸ“‹ 310 - 13% open Β· ⏱️ 20.05.2023): + ``` -- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 640K Β· ⏱️ 21.01.2023): + git clone https://github.com/alkaline-ml/pmdarima ``` - conda install -c conda-forge prophet +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 1.6M / month Β· πŸ“¦ 74 Β· ⏱️ 28.11.2022): + ``` + pip install pmdarima + ``` +- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 580K Β· ⏱️ 19.03.2023): + ``` + conda install -c conda-forge pmdarima ```
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NeuralProphet (πŸ₯‡33 Β· ⭐ 2.9K) - NeuralProphet: A simple forecasting package. MIT +
Prophet (πŸ₯ˆ32 Β· ⭐ 16K) - Tool for producing high quality forecasts for time series data that has.. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 410 Β· πŸ“¦ 230 Β· πŸ“‹ 480 - 13% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 4.3K Β· πŸ“₯ 1.6K Β· πŸ“‹ 2K - 16% open Β· ⏱️ 17.05.2023): ``` - git clone https://github.com/ourownstory/neural_prophet + git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 170K / month Β· πŸ“¦ 2 Β· ⏱️ 15.01.2023): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 1.3M / month): ``` - pip install neuralprophet + pip install fbprophet + ``` +- [Conda](https://anaconda.org/conda-forge/prophet) (πŸ“₯ 660K Β· ⏱️ 21.01.2023): + ``` + conda install -c conda-forge prophet ```
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tsfresh (πŸ₯ˆ32 Β· ⭐ 7.3K) - Automatic extraction of relevant features from time series:. MIT +
STUMPY (πŸ₯ˆ32 Β· ⭐ 2.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 1.1K Β· πŸ“‹ 520 - 11% open Β· ⏱️ 01.05.2023): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 260 Β· πŸ“¦ 440 Β· πŸ“‹ 430 - 14% open Β· ⏱️ 23.05.2023): ``` - git clone https://github.com/blue-yonder/tsfresh + git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 220K / month Β· πŸ“¦ 73 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 170K / month Β· πŸ“¦ 14 Β· ⏱️ 31.03.2022): ``` - pip install tsfresh + pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 850K Β· ⏱️ 31.12.2022): +- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 540K Β· ⏱️ 31.03.2022): ``` - conda install -c conda-forge tsfresh + conda install -c conda-forge stumpy ```
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pmdarima (πŸ₯ˆ32 Β· ⭐ 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT +
tsfresh (πŸ₯ˆ31 Β· ⭐ 7.4K) - Automatic extraction of relevant features from time series:. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 220 Β· πŸ“¦ 5.3K Β· πŸ“‹ 310 - 12% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 1.1K Β· πŸ“‹ 520 - 11% open Β· ⏱️ 01.05.2023): ``` - git clone https://github.com/alkaline-ml/pmdarima + git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 1.6M / month): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 210K / month Β· πŸ“¦ 73 Β· ⏱️ 02.01.2023): ``` - pip install pmdarima + pip install tsfresh ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 560K Β· ⏱️ 19.03.2023): +- [Conda](https://anaconda.org/conda-forge/tsfresh) (πŸ“₯ 870K Β· ⏱️ 31.12.2022): ``` - conda install -c conda-forge pmdarima + conda install -c conda-forge tsfresh ```
Darts (πŸ₯ˆ31 Β· ⭐ 5.9K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 650 Β· πŸ“¦ 260 Β· πŸ“‹ 1K - 21% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 660 Β· πŸ“¦ 270 Β· πŸ“‹ 1K - 21% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/unit8co/darts @@ -4135,14 +4000,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l docker pull unit8/darts ```
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GluonTS (πŸ₯ˆ31 Β· ⭐ 3.5K) - Probabilistic time series modeling in Python. Apache-2 +
GluonTS (πŸ₯ˆ31 Β· ⭐ 3.6K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 700 Β· πŸ“‹ 860 - 30% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 700 Β· πŸ“‹ 860 - 30% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 120K / month Β· πŸ“¦ 14 Β· ⏱️ 30.06.2022): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 130K / month Β· πŸ“¦ 14 Β· ⏱️ 30.06.2022): ``` pip install gluonts ``` @@ -4151,62 +4016,46 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c anaconda gluonts ```
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STUMPY (πŸ₯ˆ31 Β· ⭐ 2.7K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 - -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 260 Β· πŸ“¦ 430 Β· πŸ“‹ 430 - 13% open Β· ⏱️ 14.05.2023): - - ``` - git clone https://github.com/TDAmeritrade/stumpy - ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 170K / month Β· πŸ“¦ 13 Β· ⏱️ 31.03.2022): - ``` - pip install stumpy - ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (πŸ“₯ 520K Β· ⏱️ 31.03.2022): - ``` - conda install -c conda-forge stumpy - ``` -
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StatsForecast (πŸ₯ˆ31 Β· ⭐ 2.5K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
StatsForecast (πŸ₯ˆ31 Β· ⭐ 2.6K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 170 Β· πŸ“¦ 270 Β· πŸ“‹ 160 - 40% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 170 Β· πŸ“¦ 280 Β· πŸ“‹ 160 - 41% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 360K / month Β· πŸ“¦ 17 Β· ⏱️ 01.12.2022): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 340K / month Β· πŸ“¦ 17 Β· ⏱️ 01.12.2022): ``` pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 36K Β· ⏱️ 09.03.2023): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 37K Β· ⏱️ 09.03.2023): ``` conda install -c conda-forge statsforecast ```
tslearn (πŸ₯ˆ31 Β· ⭐ 2.5K) - A machine learning toolkit dedicated to time-series data. BSD-2 -- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 320 Β· πŸ“¦ 820 Β· πŸ“‹ 290 - 36% open Β· ⏱️ 24.03.2023): +- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 320 Β· πŸ“¦ 830 Β· πŸ“‹ 290 - 36% open Β· ⏱️ 24.03.2023): ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 220K / month Β· πŸ“¦ 42 Β· ⏱️ 20.01.2023): +- [PyPi](https://pypi.org/project/tslearn) (πŸ“₯ 240K / month Β· πŸ“¦ 42 Β· ⏱️ 20.01.2023): ``` pip install tslearn ``` -- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 810K Β· ⏱️ 20.01.2023): +- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 830K Β· ⏱️ 21.05.2023): ``` conda install -c conda-forge tslearn ```
pytorch-forecasting (πŸ₯ˆ29 Β· ⭐ 2.8K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 470 Β· πŸ“‹ 630 - 57% open Β· ⏱️ 10.04.2023): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 470 Β· πŸ“‹ 640 - 57% open Β· ⏱️ 10.04.2023): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 65K / month Β· πŸ“¦ 9 Β· ⏱️ 07.09.2022): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 64K / month Β· πŸ“¦ 9 Β· ⏱️ 07.09.2022): ``` pip install pytorch-forecasting ``` @@ -4215,55 +4064,55 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pytorch-forecasting ```
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Streamz (πŸ₯ˆ26 Β· ⭐ 1.2K) - Real-time stream processing for python. BSD-3 +
pyts (πŸ₯ˆ27 Β· ⭐ 1.5K) - A Python package for time series classification. BSD-3 -- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 140 Β· πŸ“¦ 390 Β· πŸ“‹ 260 - 41% open Β· ⏱️ 22.12.2022): +- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 150 Β· πŸ“¦ 390 Β· πŸ“‹ 73 - 54% open Β· ⏱️ 07.02.2023): ``` - git clone https://github.com/python-streamz/streamz + git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 16K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 110K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): ``` - pip install streamz + pip install pyts ``` -- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 660K Β· ⏱️ 28.07.2022): +- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 19K Β· ⏱️ 31.10.2021): ``` - conda install -c conda-forge streamz + conda install -c conda-forge pyts ```
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pyts (πŸ₯‰25 Β· ⭐ 1.5K) - A Python package for time series classification. BSD-3 +
NeuralForecast (πŸ₯‰26 Β· ⭐ 1.4K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 150 Β· πŸ“¦ 380 Β· πŸ“‹ 72 - 54% open Β· ⏱️ 07.02.2023): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 140 Β· πŸ“¦ 19 Β· πŸ“‹ 250 - 23% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/johannfaouzi/pyts + git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 98K / month): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 5.3K / month Β· πŸ“¦ 3 Β· ⏱️ 15.12.2022): ``` - pip install pyts + pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 19K Β· ⏱️ 31.10.2021): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 6.7K Β· ⏱️ 22.04.2023): ``` - conda install -c conda-forge pyts + conda install -c conda-forge neuralforecast ```
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NeuralForecast (πŸ₯‰25 Β· ⭐ 1.4K) - Scalable and user friendly neural forecasting algorithms. Apache-2 +
Streamz (πŸ₯‰26 Β· ⭐ 1.2K) - Real-time stream processing for python. BSD-3 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 140 Β· πŸ“¦ 19 Β· πŸ“‹ 240 - 26% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 140 Β· πŸ“¦ 390 Β· πŸ“‹ 260 - 41% open Β· ⏱️ 22.12.2022): ``` - git clone https://github.com/Nixtla/neuralforecast + git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 5K / month Β· πŸ“¦ 3 Β· ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 15K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): ``` - pip install neuralforecast + pip install streamz ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 6.5K Β· ⏱️ 22.04.2023): +- [Conda](https://anaconda.org/conda-forge/streamz) (πŸ“₯ 660K Β· ⏱️ 28.07.2022): ``` - conda install -c conda-forge neuralforecast + conda install -c conda-forge streamz ```
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uber/orbit (πŸ₯‰24 Β· ⭐ 1.6K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 +
uber/orbit (πŸ₯‰24 Β· ⭐ 1.7K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 - [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 25 Β· πŸ“‹ 380 - 14% open Β· ⏱️ 29.01.2023): @@ -4274,71 +4123,59 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install orbit-ml ``` -- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 3.2K Β· ⏱️ 31.01.2023): +- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 3.3K Β· ⏱️ 31.01.2023): ``` conda install -c conda-forge orbit-ml ```
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TSFEL (πŸ₯‰23 Β· ⭐ 660) - An intuitive library to extract features from time series. BSD-3 +
luminol (πŸ₯‰23 Β· ⭐ 1.1K) - Anomaly Detection and Correlation library. Apache-2 -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 83 Β· πŸ“‹ 66 - 28% open Β· ⏱️ 02.03.2023): +- [GitHub](https://github.com/linkedin/luminol) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 220 Β· πŸ“¦ 75 Β· πŸ“‹ 43 - 72% open Β· ⏱️ 09.05.2023): ``` - git clone https://github.com/fraunhoferportugal/tsfel + git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 8.5K / month Β· ⏱️ 14.02.2021): +- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 12K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): ``` - pip install tsfel + pip install luminol ```
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greykite (πŸ₯‰22 Β· ⭐ 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2 +
TSFEL (πŸ₯‰23 Β· ⭐ 660) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 92 Β· πŸ“¦ 18 Β· πŸ“‹ 87 - 17% open Β· ⏱️ 04.04.2023): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 85 Β· πŸ“‹ 66 - 28% open Β· ⏱️ 02.03.2023): ``` - git clone https://github.com/linkedin/greykite + git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 11K / month Β· ⏱️ 15.07.2022): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 9.2K / month Β· ⏱️ 14.02.2021): ``` - pip install greykite + pip install tsfel ```
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luminol (πŸ₯‰22 Β· ⭐ 1.1K) - Anomaly Detection and Correlation library. Apache-2 +
greykite (πŸ₯‰22 Β· ⭐ 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/linkedin/luminol) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 220 Β· πŸ“¦ 74 Β· πŸ“‹ 43 - 72% open Β· ⏱️ 09.05.2023): +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 94 Β· πŸ“₯ 1 Β· πŸ“¦ 19 Β· πŸ“‹ 88 - 17% open Β· ⏱️ 04.04.2023): ``` - git clone https://github.com/linkedin/luminol + git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 12K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): +- [PyPi](https://pypi.org/project/greykite) (πŸ“₯ 11K / month Β· ⏱️ 15.07.2022): ``` - pip install luminol + pip install greykite ```
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pydlm (πŸ₯‰21 Β· ⭐ 440) - A python library for Bayesian time series modeling. BSD-3 +
pydlm (πŸ₯‰22 Β· ⭐ 440) - A python library for Bayesian time series modeling. BSD-3 -- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 95 Β· πŸ“¦ 28 Β· πŸ“‹ 43 - 81% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/wwrechard/pydlm) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 97 Β· πŸ“¦ 29 Β· πŸ“‹ 48 - 83% open Β· ⏱️ 08.05.2023): ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 88K / month): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 83K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` pip install pydlm ```
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Auto TS (πŸ₯‰20 Β· ⭐ 580) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - -- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 99 Β· ⏱️ 17.05.2023): - - ``` - git clone https://github.com/AutoViML/Auto_TS - ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 3K / month Β· ⏱️ 16.08.2022): - ``` - pip install auto-ts - ``` -
seglearn (πŸ₯‰20 Β· ⭐ 550 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 - [GitHub](https://github.com/dmbee/seglearn) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 64 Β· πŸ“¦ 39 Β· πŸ“‹ 30 - 20% open Β· ⏱️ 27.08.2022): @@ -4346,7 +4183,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/dmbee/seglearn ``` -- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 1.9K / month Β· πŸ“¦ 2 Β· ⏱️ 27.08.2022): +- [PyPi](https://pypi.org/project/seglearn) (πŸ“₯ 2.1K / month Β· πŸ“¦ 2 Β· ⏱️ 27.08.2022): ``` pip install seglearn ``` @@ -4358,20 +4195,32 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 24.05.2020): ``` pip install tick ```
+
Auto TS (πŸ₯‰19 Β· ⭐ 580) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 + +- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 99 Β· ⏱️ 17.05.2023): + + ``` + git clone https://github.com/AutoViML/Auto_TS + ``` +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 3K / month Β· ⏱️ 16.08.2022): + ``` + pip install auto-ts + ``` +
Show 7 hidden projects... -- PyFlux (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - Open source time series library for Python. BSD-3 -- matrixprofile-ts (πŸ₯‰20 Β· ⭐ 710 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 +- PyFlux (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - Open source time series library for Python. BSD-3 - ADTK (πŸ₯‰19 Β· ⭐ 940 Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - tsflex (πŸ₯‰19 Β· ⭐ 280) - Flexible time series feature extraction & processing. MIT +- matrixprofile-ts (πŸ₯‰18 Β· ⭐ 710 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 - atspy (πŸ₯‰14 Β· ⭐ 480 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT -- tsaug (πŸ₯‰13 Β· ⭐ 300 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 -- tslumen (πŸ₯‰8 Β· ⭐ 48 Β· 🐣) - A library for Time Series EDA (exploratory data analysis). Apache-2 +- tsaug (πŸ₯‰14 Β· ⭐ 300 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 +- tslumen (πŸ₯‰8 Β· ⭐ 49 Β· 🐣) - A library for Time Series EDA (exploratory data analysis). Apache-2

@@ -4383,12 +4232,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡38 Β· ⭐ 2.2K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.2K Β· πŸ“¦ 2.7K Β· πŸ“‹ 4.5K - 11% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 340 Β· πŸ”€ 1.1K Β· πŸ“¦ 2.7K Β· πŸ“‹ 4.4K - 10% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 62K / month Β· πŸ“¦ 270 Β· ⏱️ 22.12.2022): +- [PyPi](https://pypi.org/project/mne) (πŸ“₯ 59K / month): ``` pip install mne ``` @@ -4399,12 +4248,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (πŸ₯‡36 Β· ⭐ 4.1K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 780 Β· πŸ“¦ 950 Β· πŸ“‹ 2.5K - 11% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 770 Β· πŸ“¦ 990 Β· πŸ“‹ 2.5K - 10% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 76K / month Β· πŸ“¦ 44 Β· ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 80K / month): ``` pip install monai ``` @@ -4413,22 +4262,6 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge monai ```
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Nilearn (πŸ₯ˆ35 Β· ⭐ 990) - Machine learning for NeuroImaging in Python. BSD-3 - -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 500 Β· πŸ“₯ 110 Β· πŸ“¦ 2.2K Β· πŸ“‹ 1.8K - 15% open Β· ⏱️ 10.05.2023): - - ``` - git clone https://github.com/nilearn/nilearn - ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 39K / month Β· πŸ“¦ 270 Β· ⏱️ 06.01.2023): - ``` - pip install nilearn - ``` -- [Conda](https://anaconda.org/conda-forge/nilearn) (πŸ“₯ 220K Β· ⏱️ 02.05.2023): - ``` - conda install -c conda-forge nilearn - ``` -
NIPYPE (πŸ₯ˆ34 Β· ⭐ 680) - Workflows and interfaces for neuroimaging packages. Apache-2 - [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 510 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 29% open Β· ⏱️ 17.05.2023): @@ -4436,7 +4269,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 82K / month Β· πŸ“¦ 170 Β· ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 81K / month Β· πŸ“¦ 170 Β· ⏱️ 21.09.2022): ``` pip install nipype ``` @@ -4447,12 +4280,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
DIPY (πŸ₯ˆ34 Β· ⭐ 600) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“¦ 780 Β· πŸ“‹ 850 - 17% open Β· ⏱️ 09.05.2023): +- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“¦ 790 Β· πŸ“‹ 850 - 17% open Β· ⏱️ 09.05.2023): ``` git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 14K / month Β· πŸ“¦ 90 Β· ⏱️ 16.01.2023): +- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 13K / month Β· πŸ“¦ 92 Β· ⏱️ 16.01.2023): ``` pip install dipy ``` @@ -4461,25 +4294,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge dipy ```
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NiBabel (πŸ₯ˆ34 Β· ⭐ 550) - Python package to access a cacophony of neuro-imaging file formats. MIT - -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 250 Β· πŸ“¦ 11K Β· πŸ“‹ 500 - 24% open Β· ⏱️ 23.04.2023): - - ``` - git clone https://github.com/nipy/nibabel - ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 260K / month Β· πŸ“¦ 1.1K Β· ⏱️ 09.01.2023): - ``` - pip install nibabel - ``` -- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 580K Β· ⏱️ 07.04.2023): - ``` - conda install -c conda-forge nibabel - ``` -
Lifelines (πŸ₯ˆ33 Β· ⭐ 2.1K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“¦ 1.6K Β· πŸ“‹ 910 - 27% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“¦ 1.6K Β· πŸ“‹ 910 - 27% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/CamDavidsonPilon/lifelines @@ -4495,12 +4312,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ33 Β· ⭐ 880) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 230 Β· πŸ“¦ 100 Β· πŸ“‹ 2.1K - 4% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 230 Β· πŸ“¦ 100 Β· πŸ“‹ 2.1K - 4% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 48K / month Β· πŸ“¦ 13 Β· ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 46K / month Β· πŸ“¦ 15 Β· ⏱️ 17.01.2023): ``` pip install hail ``` @@ -4512,14 +4329,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/google/deepvariant ``` -- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 52K Β· ⏱️ 10.04.2023): +- [Conda](https://anaconda.org/bioconda/deepvariant) (πŸ“₯ 53K Β· ⏱️ 10.04.2023): ``` conda install -c bioconda deepvariant ```
pyRiemann (πŸ₯‰26 Β· ⭐ 490) - Machine learning for multivariate data analysis through the.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 140 Β· πŸ“¦ 250 Β· πŸ“‹ 95 - 7% open Β· ⏱️ 27.04.2023): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“¦ 250 Β· πŸ“‹ 95 - 7% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/pyRiemann/pyRiemann @@ -4536,7 +4353,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nipy ``` -- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 990 / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): +- [PyPi](https://pypi.org/project/nipy) (πŸ“₯ 1K / month Β· πŸ“¦ 50 Β· ⏱️ 29.03.2021): ``` pip install nipy ``` @@ -4545,17 +4362,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge nipy ```
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Show 9 hidden projects... +
Show 11 hidden projects... -- NiftyNet (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 +- Nilearn (πŸ₯ˆ33 Β· ⭐ 990) - Machine learning for NeuroImaging in Python. ❗Unlicensed +- NiBabel (πŸ₯ˆ31 Β· ⭐ 550) - Python package to access a cacophony of neuro-imaging file formats. ❗Unlicensed +- NiftyNet (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - MedPy (πŸ₯‰22 Β· ⭐ 480) - Medical image processing in Python. ❗️GPL-3.0 -- DLTK (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Brainiak (πŸ₯‰21 Β· ⭐ 300 Β· πŸ’€) - Brain Imaging Analysis Kit. Apache-2 +- DLTK (πŸ₯‰19 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Glow (πŸ₯‰19 Β· ⭐ 230) - An open-source toolkit for large-scale genomic analysis. Apache-2 -- MedicalTorch (πŸ₯‰15 Β· ⭐ 820 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (πŸ₯‰14 Β· ⭐ 1.2K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 +- MedicalTorch (πŸ₯‰14 Β· ⭐ 820 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - MedicalNet (πŸ₯‰12 Β· ⭐ 1.6K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT -- DeepNeuro (πŸ₯‰11 Β· ⭐ 110 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT +- DeepNeuro (πŸ₯‰10 Β· ⭐ 110 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT

@@ -4567,19 +4386,19 @@ _Libraries for processing tabular and structured data._
carefree-learn (πŸ₯‡22 Β· ⭐ 390) - Deep Learning PyTorch. MIT -- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 3 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 3 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 830 / month Β· ⏱️ 20.06.2022): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 940 / month Β· ⏱️ 20.06.2022): ``` pip install carefree-learn ```
pytorch_tabular (πŸ₯‰20 Β· ⭐ 910) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 100 Β· πŸ“₯ 4 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 14.05.2023): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 100 Β· πŸ“₯ 5 Β· πŸ“‹ 110 - 12% open Β· ⏱️ 21.05.2023): ``` git clone https://github.com/manujosephv/pytorch_tabular @@ -4603,38 +4422,50 @@ _Libraries for processing tabular and structured data._ _Libraries for optical character recognition (OCR) and text extraction from images or videos._ -
PaddleOCR (πŸ₯‡35 Β· ⭐ 30K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 +
EasyOCR (πŸ₯‡35 Β· ⭐ 18K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 + +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.5K Β· πŸ“₯ 4.6M Β· πŸ“¦ 2.8K Β· πŸ“‹ 780 - 27% open Β· ⏱️ 25.05.2023): + + ``` + git clone https://github.com/JaidedAI/EasyOCR + ``` +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 110K / month): + ``` + pip install easyocr + ``` +
+
PaddleOCR (πŸ₯‡34 Β· ⭐ 31K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 6.2K Β· πŸ“¦ 1.4K Β· πŸ“‹ 7.3K - 23% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 6.2K Β· πŸ“¦ 1.4K Β· πŸ“‹ 7.3K - 22% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 43K / month Β· πŸ“¦ 24 Β· ⏱️ 14.12.2022): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 43K / month): ``` pip install paddleocr ```
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EasyOCR (πŸ₯‡34 Β· ⭐ 18K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 +
MMOCR (πŸ₯ˆ31 Β· ⭐ 3.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.6K Β· πŸ“₯ 4.5M Β· πŸ“¦ 2.7K Β· πŸ“‹ 780 - 27% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 640 Β· πŸ“¦ 52 Β· πŸ“‹ 810 - 12% open Β· ⏱️ 06.04.2023): ``` - git clone https://github.com/JaidedAI/EasyOCR + git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 110K / month Β· πŸ“¦ 55 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 9.5K / month): ``` - pip install easyocr + pip install mmocr ```
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OCRmyPDF (πŸ₯ˆ32 Β· ⭐ 8.9K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 +
OCRmyPDF (πŸ₯ˆ30 Β· ⭐ 8.9K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 710 Β· πŸ“¦ 530 Β· πŸ“‹ 960 - 11% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 700 Β· πŸ“¦ 530 Β· πŸ“‹ 960 - 10% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 38K / month Β· πŸ“¦ 17 Β· ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 39K / month): ``` pip install ocrmypdf ``` @@ -4643,58 +4474,46 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge ocrmypdf ```
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Tesseract (πŸ₯ˆ32 Β· ⭐ 4.8K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +
tesserocr (πŸ₯ˆ29 Β· ⭐ 1.8K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 640 Β· πŸ“‹ 330 - 8% open Β· ⏱️ 14.05.2023): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“¦ 830 Β· πŸ“‹ 250 - 29% open Β· ⏱️ 16.04.2023): ``` - git clone https://github.com/madmaze/pytesseract - ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 910K / month Β· πŸ“¦ 1K Β· ⏱️ 16.08.2022): - ``` - pip install pytesseract - ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 560K Β· ⏱️ 15.03.2022): - ``` - conda install -c conda-forge pytesseract + git clone https://github.com/sirfz/tesserocr ``` -
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MMOCR (πŸ₯ˆ31 Β· ⭐ 3.4K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 - -- [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 640 Β· πŸ“¦ 52 Β· πŸ“‹ 820 - 12% open Β· ⏱️ 06.04.2023): - +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 38K / month): ``` - git clone https://github.com/open-mmlab/mmocr + pip install tesserocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 9.7K / month Β· πŸ“¦ 2 Β· ⏱️ 06.01.2023): +- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 110K Β· ⏱️ 06.11.2022): ``` - pip install mmocr + conda install -c conda-forge tesserocr ```
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tesserocr (πŸ₯‰30 Β· ⭐ 1.8K) - A Python wrapper for the tesseract-ocr API. MIT +
Tesseract (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“¦ 830 Β· πŸ“‹ 260 - 30% open Β· ⏱️ 16.04.2023): +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 640 Β· πŸ“‹ 330 - 8% open Β· ⏱️ 14.05.2023): ``` - git clone https://github.com/sirfz/tesserocr + git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 39K / month Β· πŸ“¦ 71 Β· ⏱️ 19.06.2021): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 940K / month): ``` - pip install tesserocr + pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/tesserocr) (πŸ“₯ 110K Β· ⏱️ 06.11.2022): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 560K Β· ⏱️ 15.03.2022): ``` - conda install -c conda-forge tesserocr + conda install -c conda-forge pytesseract ```
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keras-ocr (πŸ₯‰26 Β· ⭐ 1.2K) - A packaged and flexible version of the CRAFT text detector and.. MIT +
keras-ocr (πŸ₯‰24 Β· ⭐ 1.2K) - A packaged and flexible version of the CRAFT text detector and.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 540K Β· πŸ“¦ 250 Β· πŸ“‹ 190 - 42% open Β· ⏱️ 24.12.2022): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 290 Β· πŸ“₯ 550K Β· πŸ“¦ 260 Β· πŸ“‹ 190 - 42% open Β· ⏱️ 24.12.2022): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 11K / month Β· πŸ“¦ 5 Β· ⏱️ 24.12.2022): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 10K / month): ``` pip install keras-ocr ``` @@ -4710,19 +4529,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/WZBSocialScienceCenter/pdftabextract ``` -- [PyPi](https://pypi.org/project/pdftabextract) (πŸ“₯ 260 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2018): +- [PyPi](https://pypi.org/project/pdftabextract) (πŸ“₯ 230 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2018): ``` pip install pdftabextract ```
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calamari (πŸ₯‰20 Β· ⭐ 970) - Line based ATR Engine based on OCRopy. Apache-2 +
calamari (πŸ₯‰20 Β· ⭐ 980) - Line based ATR Engine based on OCRopy. Apache-2 - [GitHub](https://github.com/Calamari-OCR/calamari) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 22.11.2022): ``` git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 13.11.2018): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.4K / month): ``` pip install calamari_ocr ``` @@ -4737,8 +4556,8 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
Show 2 hidden projects... -- attention-ocr (πŸ₯‰20 Β· ⭐ 950 Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT -- doc2text (πŸ₯‰19 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT +- attention-ocr (πŸ₯‰21 Β· ⭐ 950 Β· πŸ’€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT +- doc2text (πŸ₯‰18 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT

@@ -4790,12 +4609,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡44 Β· ⭐ 26K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 860 Β· πŸ”€ 4.5K Β· πŸ“₯ 60 Β· πŸ“¦ 9.6K Β· πŸ“‹ 14K - 19% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 860 Β· πŸ”€ 4.5K Β· πŸ“₯ 81 Β· πŸ“¦ 9.7K Β· πŸ“‹ 14K - 19% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 2.1M / month Β· πŸ“¦ 490 Β· ⏱️ 24.02.2023): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 2.2M / month Β· πŸ“¦ 490 Β· ⏱️ 24.02.2023): ``` pip install ray ``` @@ -4806,12 +4625,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask (πŸ₯‡43 Β· ⭐ 11K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 1.6K Β· πŸ“¦ 49K Β· πŸ“‹ 4.9K - 18% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 1.6K Β· πŸ“¦ 49K Β· πŸ“‹ 4.9K - 18% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7.2M / month Β· πŸ“¦ 3.1K Β· ⏱️ 01.03.2023): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7.4M / month Β· πŸ“¦ 3.1K Β· ⏱️ 01.03.2023): ``` pip install dask ``` @@ -4822,12 +4641,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (πŸ₯‡40 Β· ⭐ 1.5K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 690 Β· πŸ“¦ 29K Β· πŸ“‹ 3.6K - 39% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 690 Β· πŸ“¦ 29K Β· πŸ“‹ 3.6K - 39% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.7M / month Β· πŸ“¦ 1.3K Β· ⏱️ 27.01.2023): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.8M / month Β· πŸ“¦ 1.3K Β· ⏱️ 27.01.2023): ``` pip install distributed ``` @@ -4838,12 +4657,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (πŸ₯‡38 Β· ⭐ 25K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.9K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.8K - 48% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3K Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.8K - 48% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 320K / month Β· πŸ“¦ 41 Β· ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 310K / month Β· πŸ“¦ 41 Β· ⏱️ 17.01.2023): ``` pip install deepspeed ``` @@ -4854,19 +4673,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
horovod (πŸ₯‡38 Β· ⭐ 13K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2 -- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 890 Β· πŸ“‹ 2.2K - 15% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/horovod/horovod) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 900 Β· πŸ“‹ 2.2K - 15% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 79K / month Β· πŸ“¦ 35 Β· ⏱️ 21.06.2022): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 75K / month Β· πŸ“¦ 35 Β· ⏱️ 21.06.2022): ``` pip install horovod ```
H2O-3 (πŸ₯ˆ36 Β· ⭐ 6.3K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“‹ 8.9K - 30% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“‹ 8.9K - 30% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/h2oai/h2o-3 @@ -4878,12 +4697,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (πŸ₯ˆ36 Β· ⭐ 4.2K) - Fast, distributed, secure AI for Big Data. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 42 Β· πŸ“‹ 1.9K - 38% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 42 Β· πŸ“‹ 1.9K - 38% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 10K / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 11K / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2022): ``` pip install bigdl ``` @@ -4896,25 +4715,25 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ```
-
metrics (πŸ₯ˆ36 Β· ⭐ 1.4K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 +
metrics (πŸ₯ˆ35 Β· ⭐ 1.4K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 300 Β· πŸ“₯ 1.7K Β· πŸ“¦ 11K Β· πŸ“‹ 610 - 9% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 300 Β· πŸ“₯ 1.8K Β· πŸ“¦ 11K Β· πŸ“‹ 610 - 8% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 8.6K / month Β· πŸ“¦ 14 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 8.5K / month Β· πŸ“¦ 14 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` -- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 860K Β· ⏱️ 13.03.2023): +- [Conda](https://anaconda.org/conda-forge/torchmetrics) (πŸ“₯ 870K Β· ⏱️ 13.03.2023): ``` conda install -c conda-forge torchmetrics ```
ColossalAI (πŸ₯ˆ32 Β· ⭐ 30K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.4K Β· πŸ“¦ 230 Β· πŸ“‹ 1K - 26% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3.5K Β· πŸ“¦ 230 Β· πŸ“‹ 1.1K - 26% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/hpcaitech/colossalai @@ -4922,7 +4741,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ32 Β· ⭐ 2.3K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 220 Β· πŸ“¦ 2K Β· πŸ“‹ 340 - 18% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 220 Β· πŸ“¦ 2.1K Β· πŸ“‹ 340 - 18% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/facebookresearch/fairscale @@ -4938,12 +4757,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
SynapseML (πŸ₯ˆ30 Β· ⭐ 4.3K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 740 Β· πŸ“‹ 680 - 43% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 740 Β· πŸ“‹ 680 - 43% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 190K / month Β· πŸ“¦ 3 Β· ⏱️ 22.11.2022): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 240K / month Β· πŸ“¦ 3 Β· ⏱️ 22.11.2022): ``` pip install synapseml ``` @@ -4955,7 +4774,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/maxpumperla/elephas ``` -- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 76K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2023): +- [PyPi](https://pypi.org/project/elephas) (πŸ“₯ 74K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2023): ``` pip install elephas ``` @@ -4966,35 +4785,35 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask-ml (πŸ₯ˆ29 Β· ⭐ 850) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 800 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): +- [GitHub](https://github.com/dask/dask-ml) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 240 Β· πŸ“¦ 810 Β· πŸ“‹ 520 - 51% open Β· ⏱️ 24.03.2023): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 200K / month Β· πŸ“¦ 67 Β· ⏱️ 27.05.2022): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 190K / month Β· πŸ“¦ 67 Β· ⏱️ 27.05.2022): ``` pip install dask-ml ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 710K Β· ⏱️ 25.03.2023): +- [Conda](https://anaconda.org/conda-forge/dask-ml) (πŸ“₯ 720K Β· ⏱️ 25.03.2023): ``` conda install -c conda-forge dask-ml ```
petastorm (πŸ₯‰28 Β· ⭐ 1.6K) - Petastorm library enables single machine or distributed training.. Apache-2 -- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 270 Β· πŸ“₯ 370 Β· πŸ“¦ 120 Β· πŸ“‹ 320 - 52% open Β· ⏱️ 03.02.2023): +- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 270 Β· πŸ“₯ 380 Β· πŸ“¦ 120 Β· πŸ“‹ 320 - 52% open Β· ⏱️ 03.02.2023): ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 36K / month Β· πŸ“¦ 10 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 37K / month Β· πŸ“¦ 10 Β· ⏱️ 03.02.2023): ``` pip install petastorm ```
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mpi4py (πŸ₯‰28 Β· ⭐ 640) - Python bindings for MPI. BSD-2 +
mpi4py (πŸ₯‰28 Β· ⭐ 650) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 97 Β· πŸ“₯ 12K Β· πŸ“‹ 120 - 8% open Β· ⏱️ 14.05.2023): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 97 Β· πŸ“₯ 12K Β· πŸ“‹ 120 - 8% open Β· ⏱️ 21.05.2023): ``` git clone https://github.com/mpi4py/mpi4py @@ -5008,14 +4827,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge mpi4py ```
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TensorFlowOnSpark (πŸ₯‰26 Β· ⭐ 3.9K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 +
TensorFlowOnSpark (πŸ₯‰26 Β· ⭐ 3.8K) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 960 Β· πŸ“‹ 360 - 2% open Β· ⏱️ 27.04.2023): ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 260K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 270K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -5024,14 +4843,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge tensorflowonspark ```
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Submit it (πŸ₯‰26 Β· ⭐ 850 Β· πŸ’€) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT +
Submit it (πŸ₯‰26 Β· ⭐ 860 Β· πŸ’€) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“¦ 1.2K Β· πŸ“‹ 98 - 28% open Β· ⏱️ 28.09.2022): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“¦ 1.2K Β· πŸ“‹ 99 - 28% open Β· ⏱️ 28.09.2022): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 100K / month Β· πŸ“¦ 11 Β· ⏱️ 20.07.2022): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 120K / month Β· πŸ“¦ 11 Β· ⏱️ 20.07.2022): ``` pip install submitit ``` @@ -5047,7 +4866,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 2.3K / month Β· πŸ“¦ 5 Β· ⏱️ 07.01.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 07.01.2023): ``` pip install hivemind ``` @@ -5066,24 +4885,24 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
MMLSpark (πŸ₯‰24 Β· ⭐ 4.3K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 740 Β· πŸ“‹ 680 - 43% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 740 Β· πŸ“‹ 680 - 43% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/mmlspark) (⏱️ 18.03.2020): +- [PyPi](https://pypi.org/project/mmlspark): ``` pip install mmlspark ```
analytics-zoo (πŸ₯‰24 Β· ⭐ 2.6K) - Distributed Tensorflow, Keras and PyTorch on Apache.. Apache-2 -- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 720 Β· πŸ“¦ 3 Β· πŸ“‹ 1.4K - 38% open Β· ⏱️ 24.04.2023): +- [GitHub](https://github.com/intel-analytics/analytics-zoo) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 710 Β· πŸ“¦ 3 Β· πŸ“‹ 1.3K - 32% open Β· ⏱️ 24.04.2023): ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 300 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 310 / month): ``` pip install analytics-zoo ``` @@ -5095,7 +4914,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/apache/singa ``` -- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 620 Β· ⏱️ 09.08.2021): +- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 630 Β· ⏱️ 09.08.2021): ``` conda install -c nusdbsystem singa ``` @@ -5111,7 +4930,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/tunib-ai/parallelformers ``` -- [PyPi](https://pypi.org/project/parallelformers) (πŸ“₯ 1.2K / month Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/parallelformers) (πŸ“₯ 2K / month Β· ⏱️ 27.07.2022): ``` pip install parallelformers ``` @@ -5134,17 +4953,17 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 11 hidden projects... -- DEAP (πŸ₯ˆ31 Β· ⭐ 5.1K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 +- DEAP (πŸ₯ˆ32 Β· ⭐ 5.1K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ31 Β· ⭐ 2.4K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - launchpad (πŸ₯‰22 Β· ⭐ 290) - Launchpad is a library that simplifies writing distributed.. Apache-2 - TensorFrames (πŸ₯‰21 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 - sk-dist (πŸ₯‰21 Β· ⭐ 280) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - BytePS (πŸ₯‰20 Β· ⭐ 3.4K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 -- somoclu (πŸ₯‰20 Β· ⭐ 250 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT -- Fiber (πŸ₯‰18 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 +- somoclu (πŸ₯‰18 Β· ⭐ 250 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT +- Fiber (πŸ₯‰16 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - bluefog (πŸ₯‰16 Β· ⭐ 290) - Distributed and decentralized training framework for PyTorch.. Apache-2 -- LazyCluster (πŸ₯‰11 Β· ⭐ 44 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - autodist (πŸ₯‰10 Β· ⭐ 130 Β· πŸ’€) - Simple Distributed Deep Learning on TensorFlow. Apache-2 +- LazyCluster (πŸ₯‰10 Β· ⭐ 44 Β· πŸ’€) - Distributed machine learning made simple. Apache-2

@@ -5154,38 +4973,38 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
NNI (πŸ₯‡37 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT +
NNI (πŸ₯‡36 Β· ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 390 Β· πŸ“‹ 1.9K - 14% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.7K Β· πŸ“¦ 400 Β· πŸ“‹ 1.9K - 13% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 16K / month Β· πŸ“¦ 38 Β· ⏱️ 14.11.2022): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 14K / month): ``` pip install nni ```
AutoKeras (πŸ₯‡33 Β· ⭐ 8.8K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 16K Β· πŸ“¦ 490 Β· πŸ“‹ 880 - 13% open Β· ⏱️ 02.04.2023): +- [GitHub](https://github.com/keras-team/autokeras) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.4K Β· πŸ“₯ 16K Β· πŸ“¦ 490 Β· πŸ“‹ 880 - 14% open Β· ⏱️ 02.04.2023): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 14K / month Β· πŸ“¦ 11 Β· ⏱️ 28.01.2023): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 14K / month): ``` pip install autokeras ```
Bayesian Optimization (πŸ₯‡33 Β· ⭐ 6.8K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 1.4K Β· πŸ“₯ 120 Β· πŸ“¦ 1.8K Β· πŸ“‹ 320 - 6% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 1.4K Β· πŸ“₯ 120 Β· πŸ“¦ 1.8K Β· πŸ“‹ 310 - 3% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 190K / month Β· πŸ“¦ 100 Β· ⏱️ 04.12.2022): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 200K / month): ``` pip install bayesian-optimization ``` @@ -5197,7 +5016,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 56K / month Β· πŸ“¦ 74 Β· ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 51K / month Β· πŸ“¦ 74 Β· ⏱️ 31.01.2023): ``` pip install featuretools ``` @@ -5206,78 +5025,62 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge featuretools ```
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Keras Tuner (πŸ₯‡33 Β· ⭐ 2.7K) - A Hyperparameter Tuning Library for Keras. Apache-2 - -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 360 Β· πŸ“¦ 2.3K Β· πŸ“‹ 450 - 42% open Β· ⏱️ 22.04.2023): - - ``` - git clone https://github.com/keras-team/keras-tuner - ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 300K / month Β· πŸ“¦ 55 Β· ⏱️ 28.01.2023): - ``` - pip install keras-tuner - ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 18K Β· ⏱️ 13.04.2023): - ``` - conda install -c conda-forge keras-tuner - ``` -
BoTorch (πŸ₯‡33 Β· ⭐ 2.6K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 320 Β· πŸ“¦ 530 Β· πŸ“‹ 400 - 15% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 320 Β· πŸ“¦ 540 Β· πŸ“‹ 400 - 15% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 220K / month Β· πŸ“¦ 30 Β· ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 210K / month Β· πŸ“¦ 30 Β· ⏱️ 06.01.2023): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 68K Β· ⏱️ 08.05.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 69K Β· ⏱️ 08.05.2023): ``` conda install -c conda-forge botorch ```
Ax (πŸ₯‡33 Β· ⭐ 2.1K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 260 Β· πŸ“¦ 470 Β· πŸ“‹ 540 - 9% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 260 Β· πŸ“¦ 470 Β· πŸ“‹ 540 - 9% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 140K / month Β· πŸ“¦ 24 Β· ⏱️ 01.03.2023): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 130K / month Β· πŸ“¦ 24 Β· ⏱️ 01.03.2023): ``` pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 9K Β· ⏱️ 17.05.2023): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 9.2K Β· ⏱️ 17.05.2023): ``` conda install -c conda-forge ax-platform ```
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Hyperopt (πŸ₯ˆ32 Β· ⭐ 6.7K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3 +
Keras Tuner (πŸ₯ˆ32 Β· ⭐ 2.7K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/hyperopt/hyperopt) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1K Β· πŸ“¦ 10K Β· πŸ“‹ 640 - 61% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 360 Β· πŸ“¦ 2.3K Β· πŸ“‹ 450 - 42% open Β· ⏱️ 22.04.2023): ``` - git clone https://github.com/hyperopt/hyperopt + git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 1.9M / month Β· πŸ“¦ 470 Β· ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 290K / month): ``` - pip install hyperopt + pip install keras-tuner ``` -- [Conda](https://anaconda.org/conda-forge/hyperopt) (πŸ“₯ 690K Β· ⏱️ 30.04.2022): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 19K Β· ⏱️ 13.04.2023): ``` - conda install -c conda-forge hyperopt + conda install -c conda-forge keras-tuner ```
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auto-sklearn (πŸ₯ˆ31 Β· ⭐ 6.9K) - Automated Machine Learning with scikit-learn. BSD-3 +
auto-sklearn (πŸ₯ˆ31 Β· ⭐ 7K) - Automated Machine Learning with scikit-learn. BSD-3 -- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“₯ 43 Β· πŸ“¦ 450 Β· πŸ“‹ 980 - 15% open Β· ⏱️ 18.04.2023): +- [GitHub](https://github.com/automl/auto-sklearn) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 1.2K Β· πŸ“₯ 43 Β· πŸ“¦ 450 Β· πŸ“‹ 970 - 15% open Β· ⏱️ 18.04.2023): ``` git clone https://github.com/automl/auto-sklearn ``` -- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 29K / month Β· πŸ“¦ 39 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/auto-sklearn) (πŸ“₯ 32K / month): ``` pip install auto-sklearn ``` @@ -5288,7 +5091,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (πŸ₯ˆ29 Β· ⭐ 5.8K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 740 Β· πŸ“‹ 1K - 24% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 740 Β· πŸ“‹ 1K - 23% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/autogluon/autogluon @@ -5297,7 +5100,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 3.1K Β· ⭐ 11 Β· ⏱️ 17.03.2023): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 3.2K Β· ⭐ 11 Β· ⏱️ 17.03.2023): ``` docker pull autogluon/autogluon ``` @@ -5309,7 +5112,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 48K / month Β· πŸ“¦ 26 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 49K / month Β· πŸ“¦ 26 Β· ⏱️ 08.03.2022): ``` pip install nevergrad ``` @@ -5320,7 +5123,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
mljar-supervised (πŸ₯ˆ28 Β· ⭐ 2.6K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 340 Β· πŸ“¦ 74 Β· πŸ“‹ 540 - 21% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 340 Β· πŸ“¦ 75 Β· πŸ“‹ 540 - 21% open Β· ⏱️ 16.05.2023): ``` git clone https://github.com/mljar/mljar-supervised @@ -5329,35 +5132,23 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install mljar-supervised ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 8.3K Β· ⏱️ 30.12.2022): +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 8.4K Β· ⏱️ 30.12.2022): ``` conda install -c conda-forge mljar-supervised ```
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Hyperas (πŸ₯ˆ27 Β· ⭐ 2.2K) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT - -- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 320 Β· πŸ“¦ 300 Β· πŸ“‹ 260 - 37% open Β· ⏱️ 05.01.2023): - - ``` - git clone https://github.com/maxpumperla/hyperas - ``` -- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 12K / month Β· πŸ“¦ 24 Β· ⏱️ 28.02.2019): - ``` - pip install hyperas - ``` -
lazypredict (πŸ₯ˆ26 Β· ⭐ 2K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT -- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 520 Β· πŸ“‹ 100 - 64% open Β· ⏱️ 28.09.2022): +- [GitHub](https://github.com/shankarpandala/lazypredict) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 540 Β· πŸ“‹ 100 - 64% open Β· ⏱️ 28.09.2022): ``` git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/lazypredict) (πŸ“₯ 21K / month): ``` pip install lazypredict ``` -- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 1.9K Β· ⏱️ 29.09.2022): +- [Conda](https://anaconda.org/conda-forge/lazypredict) (πŸ“₯ 2K Β· ⏱️ 29.09.2022): ``` conda install -c conda-forge lazypredict ``` @@ -5369,19 +5160,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 9.5K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): +- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 9.2K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): ``` pip install gpyopt ```
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featurewiz (πŸ₯ˆ24 Β· ⭐ 400) - Use advanced feature engineering strategies and select best.. Apache-2 +
Hyperas (πŸ₯ˆ25 Β· ⭐ 2.2K) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT + +- [GitHub](https://github.com/maxpumperla/hyperas) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 310 Β· πŸ“¦ 300 Β· πŸ“‹ 260 - 37% open Β· ⏱️ 05.01.2023): + + ``` + git clone https://github.com/maxpumperla/hyperas + ``` +- [PyPi](https://pypi.org/project/hyperas) (πŸ“₯ 12K / month): + ``` + pip install hyperas + ``` +
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featurewiz (πŸ₯ˆ24 Β· ⭐ 410) - Use advanced feature engineering strategies and select best.. Apache-2 - [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 73 Β· πŸ“¦ 41 Β· πŸ“‹ 67 - 2% open Β· ⏱️ 17.05.2023): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 8.6K / month Β· πŸ“¦ 2 Β· ⏱️ 02.01.2023): ``` pip install featurewiz ``` @@ -5393,38 +5196,38 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 800 / month Β· πŸ“¦ 7 Β· ⏱️ 28.05.2022): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 640 / month): ``` pip install talos ```
FEDOT (πŸ₯‰23 Β· ⭐ 530) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 73 Β· πŸ“¦ 31 Β· πŸ“‹ 460 - 20% open Β· ⏱️ 27.04.2023): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 73 Β· πŸ“¦ 31 Β· πŸ“‹ 460 - 20% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 660 / month Β· πŸ“¦ 1 Β· ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 670 / month Β· πŸ“¦ 1 Β· ⏱️ 12.12.2022): ``` pip install fedot ```
Hyperactive (πŸ₯‰23 Β· ⭐ 440) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 39 Β· πŸ“₯ 120 Β· πŸ“¦ 18 Β· πŸ“‹ 59 - 18% open Β· ⏱️ 28.04.2023): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 39 Β· πŸ“₯ 120 Β· πŸ“¦ 19 Β· πŸ“‹ 61 - 19% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 1.4K / month): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 1.3K / month Β· πŸ“¦ 5 Β· ⏱️ 04.01.2023): ``` pip install hyperactive ```
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Auto ViML (πŸ₯‰23 Β· ⭐ 430) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 +
Auto ViML (πŸ₯‰23 Β· ⭐ 440) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 -- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 88 Β· πŸ“¦ 22 Β· πŸ“‹ 27 - 11% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/AutoViML/Auto_ViML) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 89 Β· πŸ“¦ 22 Β· πŸ“‹ 27 - 11% open Β· ⏱️ 21.05.2023): ``` git clone https://github.com/AutoViML/Auto_ViML @@ -5436,62 +5239,62 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Neuraxle (πŸ₯‰22 Β· ⭐ 570 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 -- [GitHub](https://github.com/Neuraxio/Neuraxle) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 57 Β· πŸ“¦ 45 Β· πŸ“‹ 330 - 14% open Β· ⏱️ 16.08.2022): +- [GitHub](https://github.com/Neuraxio/Neuraxle) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 57 Β· πŸ“¦ 46 Β· πŸ“‹ 330 - 14% open Β· ⏱️ 16.08.2022): ``` git clone https://github.com/Neuraxio/Neuraxle ``` -- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/neuraxle) (πŸ“₯ 450 / month Β· πŸ“¦ 1 Β· ⏱️ 16.08.2022): ``` pip install neuraxle ```
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igel (πŸ₯‰19 Β· ⭐ 3K) - a delightful machine learning tool that allows you to train, test, and use.. MIT +
AlphaPy (πŸ₯‰20 Β· ⭐ 910) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 -- [GitHub](https://github.com/nidhaloff/igel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“₯ 35 Β· πŸ“¦ 4 Β· πŸ“‹ 47 - 6% open Β· ⏱️ 08.04.2023): +- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 170 Β· πŸ“¦ 3 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 17.04.2023): ``` - git clone https://github.com/nidhaloff/igel + git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 140 / month): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 170 / month Β· ⏱️ 29.08.2020): ``` - pip install igel + pip install alphapy ```
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AlphaPy (πŸ₯‰19 Β· ⭐ 910) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 +
igel (πŸ₯‰19 Β· ⭐ 3K) - a delightful machine learning tool that allows you to train, test, and use.. MIT -- [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 170 Β· πŸ“¦ 3 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 17.04.2023): +- [GitHub](https://github.com/nidhaloff/igel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 160 Β· πŸ“₯ 35 Β· πŸ“¦ 4 Β· πŸ“‹ 50 - 12% open Β· ⏱️ 08.04.2023): ``` - git clone https://github.com/ScottfreeLLC/AlphaPy + git clone https://github.com/nidhaloff/igel ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 110 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/igel) (πŸ“₯ 140 / month Β· ⏱️ 19.11.2021): ``` - pip install alphapy + pip install igel ```
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opytimizer (πŸ₯‰18 Β· ⭐ 570) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 +
Dragonfly (πŸ₯‰17 Β· ⭐ 780 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT -- [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 36 Β· πŸ“¦ 14 Β· ⏱️ 11.05.2023): +- [GitHub](https://github.com/dragonfly/dragonfly) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 220 Β· πŸ“‹ 57 - 64% open Β· ⏱️ 01.10.2022): ``` - git clone https://github.com/gugarosa/opytimizer + git clone https://github.com/dragonfly/dragonfly ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 250 / month): +- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 24K / month): ``` - pip install opytimizer + pip install dragonfly-opt ```
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Dragonfly (πŸ₯‰17 Β· ⭐ 780 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT +
opytimizer (πŸ₯‰17 Β· ⭐ 570) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 -- [GitHub](https://github.com/dragonfly/dragonfly) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 220 Β· πŸ“‹ 57 - 64% open Β· ⏱️ 01.10.2022): +- [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 36 Β· πŸ“¦ 15 Β· πŸ“‹ 21 - 9% open Β· ⏱️ 11.05.2023): ``` - git clone https://github.com/dragonfly/dragonfly + git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 23K / month): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 240 / month Β· ⏱️ 09.09.2022): ``` - pip install dragonfly-opt + pip install opytimizer ```
shap-hypetune (πŸ₯‰17 Β· ⭐ 450 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT @@ -5501,39 +5304,40 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 3.7K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2022): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2022): ``` pip install shap-hypetune ```
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Show 26 hidden projects... +
Show 27 hidden projects... -- Optuna (πŸ₯‡38 Β· ⭐ 8.1K) - A hyperparameter optimization framework. ❗Unlicensed +- Optuna (πŸ₯‡39 Β· ⭐ 8.1K) - A hyperparameter optimization framework. ❗Unlicensed - TPOT (πŸ₯‡33 Β· ⭐ 9.1K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯‡33 Β· ⭐ 2.6K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 -- SMAC3 (πŸ₯ˆ26 Β· ⭐ 840) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause -- Orion (πŸ₯ˆ26 Β· ⭐ 260) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 +- Hyperopt (πŸ₯ˆ29 Β· ⭐ 6.7K) - Distributed Asynchronous Hyperparameter Optimization in Python. ❗Unlicensed +- SMAC3 (πŸ₯ˆ24 Β· ⭐ 840) - SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter.. ❗Unlicensed +- Orion (πŸ₯ˆ24 Β· ⭐ 260) - Asynchronous Distributed Hyperparameter Optimization. ❗Unlicensed - AdaNet (πŸ₯‰23 Β· ⭐ 3.4K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 -- lightwood (πŸ₯‰23 Β· ⭐ 360) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - MLBox (πŸ₯‰22 Β· ⭐ 1.4K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause -- Test Tube (πŸ₯‰22 Β· ⭐ 730 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT +- Test Tube (πŸ₯‰22 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT +- lightwood (πŸ₯‰22 Β· ⭐ 360) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - HpBandSter (πŸ₯‰21 Β· ⭐ 570 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - optunity (πŸ₯‰21 Β· ⭐ 400 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 - sklearn-deap (πŸ₯‰19 Β· ⭐ 720 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - Auto Tune Models (πŸ₯‰18 Β· ⭐ 520 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (πŸ₯‰18 Β· ⭐ 320 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 +- Advisor (πŸ₯‰17 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - Xcessiv (πŸ₯‰16 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - HyperparameterHunter (πŸ₯‰16 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - automl-gs (πŸ₯‰15 Β· ⭐ 1.8K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT -- Advisor (πŸ₯‰15 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 -- model_search (πŸ₯‰13 Β· ⭐ 3.2K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - ENAS (πŸ₯‰13 Β· ⭐ 2.6K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 +- model_search (πŸ₯‰12 Β· ⭐ 3.2K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Auptimizer (πŸ₯‰12 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 - Hypermax (πŸ₯‰12 Β· ⭐ 110 Β· πŸ’€) - Better, faster hyper-parameter optimization. BSD-3 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT -- Hypertunity (πŸ₯‰8 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2 +- Hypertunity (πŸ₯‰9 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2

@@ -5550,7 +5354,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 530K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 510K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): ``` pip install gym ``` @@ -5561,7 +5365,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
TF-Agents (πŸ₯‡33 Β· ⭐ 2.5K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 690 Β· πŸ“¦ 1.2K Β· πŸ“‹ 630 - 28% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 690 Β· πŸ“¦ 1.2K Β· πŸ“‹ 640 - 28% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/tensorflow/agents @@ -5571,14 +5375,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install tf-agents ```
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FinRL (πŸ₯‡31 Β· ⭐ 7.3K) - FinRL: Financial Reinforcement Learning. MIT +
FinRL (πŸ₯‡31 Β· ⭐ 7.4K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.8K Β· πŸ“¦ 20 Β· πŸ“‹ 590 - 21% open Β· ⏱️ 05.05.2023): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 1.8K Β· πŸ“¦ 20 Β· πŸ“‹ 600 - 23% open Β· ⏱️ 05.05.2023): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 2.1K / month Β· ⏱️ 25.07.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 2K / month Β· ⏱️ 25.07.2022): ``` pip install finrl ``` @@ -5590,23 +5394,23 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1.3K / month Β· πŸ“¦ 15 Β· ⏱️ 07.01.2023): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 1.2K / month Β· πŸ“¦ 15 Β· ⏱️ 07.01.2023): ``` pip install vizdoom ```
Acme (πŸ₯ˆ28 Β· ⭐ 3.1K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 400 Β· πŸ“¦ 140 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 26.04.2023): +- [GitHub](https://github.com/deepmind/acme) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 390 Β· πŸ“¦ 140 Β· πŸ“‹ 250 - 19% open Β· ⏱️ 26.04.2023): ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 2.2K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 2.5K / month): ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 6.3K Β· ⏱️ 09.12.2021): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 6.4K Β· ⏱️ 09.12.2021): ``` conda install -c conda-forge dm-acme ``` @@ -5623,50 +5427,50 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst pip install dopamine-rl ```
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PARL (πŸ₯ˆ27 Β· ⭐ 3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
TensorLayer (πŸ₯ˆ27 Β· ⭐ 7.2K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 800 Β· πŸ“¦ 110 Β· πŸ“‹ 490 - 19% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/tensorlayer/TensorLayer) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 1.5K Β· πŸ“‹ 470 - 6% open Β· ⏱️ 18.02.2023): ``` - git clone https://github.com/PaddlePaddle/PARL + git clone https://github.com/tensorlayer/tensorlayer ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 720 / month Β· πŸ“¦ 1 Β· ⏱️ 28.11.2022): +- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 2K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): ``` - pip install parl + pip install tensorlayer ```
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TensorLayer (πŸ₯‰26 Β· ⭐ 7.2K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +
PARL (πŸ₯ˆ27 Β· ⭐ 3K) - A high-performance distributed training framework for Reinforcement.. Apache-2 -- [GitHub](https://github.com/tensorlayer/TensorLayer) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.6K Β· πŸ“₯ 1.5K Β· πŸ“‹ 470 - 6% open Β· ⏱️ 18.02.2023): +- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 800 Β· πŸ“¦ 110 Β· πŸ“‹ 490 - 19% open Β· ⏱️ 19.05.2023): ``` - git clone https://github.com/tensorlayer/tensorlayer + git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1.7K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 760 / month Β· πŸ“¦ 1 Β· ⏱️ 28.11.2022): ``` - pip install tensorlayer + pip install parl ```
garage (πŸ₯‰26 Β· ⭐ 1.7K) - A toolkit for reproducible reinforcement learning research. MIT -- [GitHub](https://github.com/rlworkgroup/garage) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 280 Β· πŸ“¦ 81 Β· πŸ“‹ 1K - 22% open Β· ⏱️ 04.01.2023): +- [GitHub](https://github.com/rlworkgroup/garage) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 290 Β· πŸ“¦ 84 Β· πŸ“‹ 1K - 22% open Β· ⏱️ 04.01.2023): ``` git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 790 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 970 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): ``` pip install garage ```
RLax (πŸ₯‰25 Β· ⭐ 1K) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 73 Β· πŸ“¦ 130 Β· πŸ“‹ 33 - 45% open Β· ⏱️ 09.05.2023): +- [GitHub](https://github.com/deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 74 Β· πŸ“¦ 130 Β· πŸ“‹ 33 - 45% open Β· ⏱️ 09.05.2023): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 170K / month Β· πŸ“¦ 5 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 160K / month Β· πŸ“¦ 5 Β· ⏱️ 09.01.2023): ``` pip install rlax ``` @@ -5685,12 +5489,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
ReAgent (πŸ₯‰23 Β· ⭐ 3.4K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 480 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 04.05.2023): +- [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 490 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 18 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 19 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ``` @@ -5702,7 +5506,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 930 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 850 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ``` @@ -5714,7 +5518,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 420 / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2021): +- [PyPi](https://pypi.org/project/pfrl) (πŸ“₯ 400 / month Β· πŸ“¦ 1 Β· ⏱️ 07.07.2021): ``` pip install pfrl ``` @@ -5726,14 +5530,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/IntelLabs/coach ``` -- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 110 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 130 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): ``` pip install rl_coach ```
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rliable (πŸ₯‰12 Β· ⭐ 580) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 +
rliable (πŸ₯‰13 Β· ⭐ 590) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 -- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 35 Β· πŸ“¦ 61 Β· πŸ“‹ 12 - 8% open Β· ⏱️ 20.02.2023): +- [GitHub](https://github.com/google-research/rliable) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 35 Β· πŸ“¦ 67 Β· πŸ“‹ 12 - 8% open Β· ⏱️ 20.02.2023): ``` git clone https://github.com/google-research/rliable @@ -5763,12 +5567,12 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡34 Β· ⭐ 16K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/microsoft/recommenders) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.7K Β· πŸ“₯ 330 Β· πŸ“¦ 70 Β· πŸ“‹ 760 - 20% open Β· ⏱️ 22.04.2023): +- [GitHub](https://github.com/microsoft/recommenders) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.7K Β· πŸ“₯ 330 Β· πŸ“¦ 71 Β· πŸ“‹ 760 - 20% open Β· ⏱️ 22.04.2023): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 30K / month Β· πŸ“¦ 2 Β· ⏱️ 20.07.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 33K / month): ``` pip install recommenders ``` @@ -5789,14 +5593,14 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge lightfm ```
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implicit (πŸ₯‡31 Β· ⭐ 3.2K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT +
implicit (πŸ₯ˆ30 Β· ⭐ 3.2K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 590 Β· πŸ“₯ 360 Β· πŸ“¦ 990 Β· πŸ“‹ 460 - 17% open Β· ⏱️ 11.12.2022): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 570 Β· πŸ“₯ 360 Β· πŸ“¦ 1K Β· πŸ“‹ 450 - 16% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 170K / month Β· πŸ“¦ 38 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 150K / month): ``` pip install implicit ``` @@ -5807,12 +5611,12 @@ _Libraries for building and evaluating recommendation systems._
TF Recommenders (πŸ₯ˆ29 Β· ⭐ 1.6K) - TensorFlow Recommenders is a library for building.. Apache-2 -- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 230 Β· πŸ“¦ 210 Β· πŸ“‹ 370 - 52% open Β· ⏱️ 27.04.2023): +- [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 230 Β· πŸ“¦ 220 Β· πŸ“‹ 370 - 52% open Β· ⏱️ 27.04.2023): ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 400K / month Β· πŸ“¦ 2 Β· ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 380K / month Β· πŸ“¦ 2 Β· ⏱️ 23.08.2021): ``` pip install tensorflow-recommenders ``` @@ -5824,7 +5628,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 100K / month Β· πŸ“¦ 50 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 110K / month Β· πŸ“¦ 50 Β· ⏱️ 23.09.2022): ``` pip install scikit-surprise ``` @@ -5835,79 +5639,79 @@ _Libraries for building and evaluating recommendation systems._
TF Ranking (πŸ₯ˆ27 Β· ⭐ 2.6K) - Learning to Rank in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 450 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 01.02.2023): +- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 460 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 01.02.2023): ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 180K / month Β· πŸ“¦ 14 Β· ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 200K / month Β· πŸ“¦ 14 Β· ⏱️ 16.11.2021): ``` pip install tensorflow_ranking ```
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RecBole (πŸ₯ˆ26 Β· ⭐ 2.6K) - A unified, comprehensive and efficient recommendation library. MIT +
Cornac (πŸ₯ˆ26 Β· ⭐ 720) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 500 Β· πŸ“‹ 710 - 13% open Β· ⏱️ 04.05.2023): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 120 Β· πŸ“¦ 160 Β· πŸ“‹ 120 - 10% open Β· ⏱️ 13.05.2023): ``` - git clone https://github.com/RUCAIBox/RecBole + git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 3.7K / month): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 49K / month): ``` - pip install recbole + pip install cornac ``` -- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 3.3K Β· ⏱️ 05.10.2022): +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 300K Β· ⏱️ 13.05.2023): ``` - conda install -c aibox recbole + conda install -c conda-forge cornac ```
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Cornac (πŸ₯ˆ26 Β· ⭐ 710) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +
RecBole (πŸ₯‰25 Β· ⭐ 2.6K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 120 Β· πŸ“¦ 160 Β· πŸ“‹ 120 - 10% open Β· ⏱️ 13.05.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 500 Β· πŸ“‹ 720 - 13% open Β· ⏱️ 19.05.2023): ``` - git clone https://github.com/PreferredAI/cornac + git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 43K / month Β· πŸ“¦ 16 Β· ⏱️ 19.02.2022): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 3.7K / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2022): ``` - pip install cornac + pip install recbole ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 290K Β· ⏱️ 13.05.2023): +- [Conda](https://anaconda.org/aibox/recbole) (πŸ“₯ 3.3K Β· ⏱️ 05.10.2022): ``` - conda install -c conda-forge cornac + conda install -c aibox recbole ```
torchrec (πŸ₯‰25 Β· ⭐ 1.4K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 250 Β· πŸ“‹ 180 - 58% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 260 Β· πŸ“‹ 180 - 59% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 90 / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 120 / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ```
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recmetrics (πŸ₯‰20 Β· ⭐ 500) - A library of metrics for evaluating recommender systems. MIT +
recmetrics (πŸ₯‰18 Β· ⭐ 510) - A library of metrics for evaluating recommender systems. MIT -- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 94 Β· πŸ“₯ 1 Β· πŸ“¦ 40 Β· πŸ“‹ 22 - 36% open Β· ⏱️ 17.03.2023): +- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 93 Β· πŸ“₯ 2 Β· πŸ“¦ 41 Β· πŸ“‹ 22 - 36% open Β· ⏱️ 17.03.2023): ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` -- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 2.6K / month Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/recmetrics) (πŸ“₯ 3.1K / month): ``` pip install recmetrics ```
Show 7 hidden projects... -- tensorrec (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - lkpy (πŸ₯‰22 Β· ⭐ 240) - Python recommendation toolkit. MIT +- tensorrec (πŸ₯‰21 Β· ⭐ 1.2K Β· πŸ’€) - A TensorFlow recommendation algorithm and framework in.. Apache-2 - fastFM (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 - Spotlight (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - Deep recommender models using PyTorch. MIT -- Case Recommender (πŸ₯‰17 Β· ⭐ 440 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT +- Case Recommender (πŸ₯‰18 Β· ⭐ 440 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - Collie (πŸ₯‰17 Β· ⭐ 100) - A library for preparing, training, and evaluating scalable deep.. BSD-3 - OpenRec (πŸ₯‰15 Β· ⭐ 400 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2
@@ -5921,40 +5725,40 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (πŸ₯‡36 Β· ⭐ 8.8K) - data science on data without acquiring a copy. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“‹ 3.4K - 5% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“‹ 3.4K - 5% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 6.8K / month Β· πŸ“¦ 5 Β· ⏱️ 20.01.2023): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 6.9K / month Β· πŸ“¦ 5 Β· ⏱️ 20.01.2023): ``` pip install syft ```
Opacus (πŸ₯ˆ29 Β· ⭐ 1.4K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 280 Β· πŸ“₯ 73 Β· πŸ“¦ 580 Β· πŸ“‹ 250 - 25% open Β· ⏱️ 18.04.2023): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 290 Β· πŸ“₯ 74 Β· πŸ“¦ 590 Β· πŸ“‹ 250 - 25% open Β· ⏱️ 18.04.2023): ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 25K / month Β· πŸ“¦ 18 Β· ⏱️ 14.11.2022): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 28K / month Β· πŸ“¦ 18 Β· ⏱️ 14.11.2022): ``` pip install opacus ``` -- [Conda](https://anaconda.org/conda-forge/opacus) (πŸ“₯ 9.3K Β· ⏱️ 24.03.2023): +- [Conda](https://anaconda.org/conda-forge/opacus) (πŸ“₯ 9.5K Β· ⏱️ 24.03.2023): ``` conda install -c conda-forge opacus ```
TensorFlow Privacy (πŸ₯ˆ27 Β· ⭐ 1.8K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 420 Β· πŸ“₯ 100 Β· πŸ“‹ 190 - 54% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 420 Β· πŸ“₯ 100 Β· πŸ“‹ 190 - 54% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 32K / month Β· πŸ“¦ 14 Β· ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 30K / month Β· πŸ“¦ 14 Β· ⏱️ 19.10.2022): ``` pip install tensorflow-privacy ``` @@ -5978,7 +5782,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 420 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (πŸ“₯ 470 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5990,14 +5794,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 360 / month Β· πŸ“¦ 2 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 320 / month Β· πŸ“¦ 2 Β· ⏱️ 08.12.2022): ``` pip install crypten ```
Show 1 hidden projects... -- PipelineDP (πŸ₯‰20 Β· ⭐ 250) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- PipelineDP (πŸ₯‰19 Β· ⭐ 250) - PipelineDP is a Python framework for applying differentially.. Apache-2

@@ -6009,23 +5813,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 14K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 3.4K Β· πŸ“¦ 19K Β· πŸ“‹ 3K - 35% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 3.4K Β· πŸ“¦ 20K Β· πŸ“‹ 3.1K - 36% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 10M / month Β· πŸ“¦ 460 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 10M / month): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.3M Β· ⏱️ 13.05.2023): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.3M Β· ⏱️ 18.05.2023): ``` conda install -c conda-forge mlflow ```
Tensorboard (πŸ₯‡43 Β· ⭐ 6.2K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.6K Β· πŸ“¦ 170K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.6K Β· πŸ“¦ 170K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/tensorflow/tensorboard @@ -6041,55 +5845,55 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (πŸ₯‡41 Β· ⭐ 12K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 110K Β· πŸ“¦ 7.4K Β· πŸ“‹ 4.3K - 13% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“₯ 110K Β· πŸ“¦ 7.5K Β· πŸ“‹ 4.3K - 13% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 710K / month Β· πŸ“¦ 94 Β· ⏱️ 06.03.2023): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 710K / month Β· πŸ“¦ 95 Β· ⏱️ 06.03.2023): ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.5M Β· ⏱️ 02.05.2023): +- [Conda](https://anaconda.org/conda-forge/dvc) (πŸ“₯ 1.5M Β· ⏱️ 23.05.2023): ``` conda install -c conda-forge dvc ```
wandb client (πŸ₯‡39 Β· ⭐ 6.1K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 480 Β· πŸ“¦ 23K Β· πŸ“‹ 2.5K - 24% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 470 Β· πŸ“¦ 23K Β· πŸ“‹ 2.5K - 24% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 2.2M / month Β· πŸ“¦ 450 Β· ⏱️ 07.03.2023): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 2.3M / month): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 230K Β· ⏱️ 18.05.2023): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 240K Β· ⏱️ 18.05.2023): ``` conda install -c conda-forge wandb ```
SageMaker SDK (πŸ₯‡39 Β· ⭐ 1.8K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 980 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.2K - 36% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 980 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.2K - 36% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 29M / month Β· πŸ“¦ 76 Β· ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 26M / month Β· πŸ“¦ 76 Β· ⏱️ 31.01.2023): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 590K Β· ⏱️ 03.11.2022): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 600K Β· ⏱️ 03.11.2022): ``` conda install -c conda-forge sagemaker-python-sdk ```
PyCaret (πŸ₯ˆ37 Β· ⭐ 7.3K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 640 Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.1K - 13% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/pycaret/pycaret) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 640 Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.1K - 13% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/pycaret/pycaret @@ -6098,53 +5902,53 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 32K Β· ⏱️ 16.03.2023): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 33K Β· ⏱️ 16.03.2023): ``` conda install -c conda-forge pycaret ```
snakemake (πŸ₯ˆ35 Β· ⭐ 1.7K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 450 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 59% open Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 450 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.3K - 59% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 73K / month Β· πŸ“¦ 240 Β· ⏱️ 18.01.2023): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 71K / month Β· πŸ“¦ 240 Β· ⏱️ 18.01.2023): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 740K Β· ⏱️ 15.05.2023): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 740K Β· ⏱️ 22.05.2023): ``` conda install -c bioconda snakemake ```
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AzureML SDK (πŸ₯ˆ34 Β· ⭐ 3.7K) - Python notebooks with ML and deep learning examples with Azure.. MIT +
aim (πŸ₯ˆ34 Β· ⭐ 3.7K) - Aim An easy-to-use & supercharged open-source AI metadata tracker.. Apache-2 -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 2.3K Β· πŸ“₯ 490 Β· πŸ“‹ 1.4K - 24% open Β· ⏱️ 17.04.2023): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 230 Β· πŸ“¦ 220 Β· πŸ“‹ 880 - 28% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/Azure/MachineLearningNotebooks + git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 480K / month Β· πŸ“¦ 48 Β· ⏱️ 05.12.2022): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 98K / month Β· πŸ“¦ 7 Β· ⏱️ 07.07.2022): ``` - pip install azureml-sdk + pip install aim + ``` +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 31K Β· ⏱️ 04.05.2023): + ``` + conda install -c conda-forge aim ```
-
aim (πŸ₯ˆ34 Β· ⭐ 3.7K) - Aim An easy-to-use & supercharged open-source AI metadata tracker.. Apache-2 +
AzureML SDK (πŸ₯ˆ34 Β· ⭐ 3.7K) - Python notebooks with ML and deep learning examples with Azure.. MIT -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 230 Β· πŸ“¦ 220 Β· πŸ“‹ 880 - 28% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 2.3K Β· πŸ“₯ 490 Β· πŸ“‹ 1.4K - 24% open Β· ⏱️ 17.04.2023): ``` - git clone https://github.com/aimhubio/aim - ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 100K / month Β· πŸ“¦ 7 Β· ⏱️ 07.07.2022): - ``` - pip install aim + git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 30K Β· ⏱️ 04.05.2023): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 470K / month Β· πŸ“¦ 48 Β· ⏱️ 05.12.2022): ``` - conda install -c conda-forge aim + pip install azureml-sdk ```
tensorboardX (πŸ₯ˆ33 Β· ⭐ 7.6K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT @@ -6165,23 +5969,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
Metaflow (πŸ₯ˆ33 Β· ⭐ 6.7K) - Build and manage real-life data science projects with ease!. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 640 Β· πŸ“¦ 470 Β· πŸ“‹ 560 - 47% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 600 Β· πŸ“¦ 480 Β· πŸ“‹ 520 - 42% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 150K / month Β· πŸ“¦ 16 Β· ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 130K / month): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 120K Β· ⏱️ 17.05.2023): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 120K Β· ⏱️ 22.05.2023): ``` conda install -c conda-forge metaflow ```
ClearML (πŸ₯ˆ33 Β· ⭐ 4.4K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 580 Β· πŸ“₯ 1K Β· πŸ“¦ 550 Β· πŸ“‹ 800 - 42% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 580 Β· πŸ“₯ 1.1K Β· πŸ“¦ 550 Β· πŸ“‹ 800 - 42% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/allegroai/clearml @@ -6197,7 +6001,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
VisualDL (πŸ₯ˆ31 Β· ⭐ 4.6K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 630 Β· πŸ“₯ 290 Β· πŸ“¦ 2K Β· πŸ“‹ 490 - 28% open Β· ⏱️ 04.05.2023): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 630 Β· πŸ“₯ 300 Β· πŸ“¦ 2K Β· πŸ“‹ 490 - 28% open Β· ⏱️ 04.05.2023): ``` git clone https://github.com/PaddlePaddle/VisualDL @@ -6209,23 +6013,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
sacred (πŸ₯ˆ30 Β· ⭐ 4K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT -- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.3K Β· πŸ“‹ 550 - 17% open Β· ⏱️ 02.05.2023): +- [GitHub](https://github.com/IDSIA/sacred) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.4K Β· πŸ“‹ 550 - 17% open Β· ⏱️ 02.05.2023): ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 38K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 40K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): ``` pip install sacred ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 3.1K Β· ⏱️ 16.05.2023): +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 3.2K Β· ⏱️ 16.05.2023): ``` conda install -c conda-forge sacred ```
Neptune.ai (πŸ₯ˆ30 Β· ⭐ 390) - Experiment tracking tool and model registry. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 40 Β· πŸ“‹ 210 - 14% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 40 Β· πŸ“‹ 210 - 14% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/neptune-ai/neptune-client @@ -6239,78 +6043,78 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge neptune-client ```
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kaggle (πŸ₯ˆ29 Β· ⭐ 5.3K) - Official Kaggle API. Apache-2 +
ml-metadata (πŸ₯‰28 Β· ⭐ 530) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 980 Β· πŸ“‹ 400 - 60% open Β· ⏱️ 01.03.2023): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“₯ 1.9K Β· πŸ“¦ 330 Β· πŸ“‹ 100 - 28% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/Kaggle/kaggle-api - ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 160K / month Β· πŸ“¦ 370 Β· ⏱️ 13.03.2021): - ``` - pip install kaggle + git clone https://github.com/google/ml-metadata ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 120K Β· ⏱️ 02.03.2023): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 290K / month Β· πŸ“¦ 21 Β· ⏱️ 07.12.2022): ``` - conda install -c conda-forge kaggle + pip install ml-metadata ```
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ml-metadata (πŸ₯‰28 Β· ⭐ 530) - For recording and retrieving metadata associated with ML.. Apache-2 +
TNT (πŸ₯‰26 Β· ⭐ 1.5K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 120 Β· πŸ“₯ 1.9K Β· πŸ“¦ 330 Β· πŸ“‹ 100 - 28% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 230 Β· πŸ“‹ 68 - 10% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/google/ml-metadata + git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 310K / month Β· πŸ“¦ 21 Β· ⏱️ 07.12.2022): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 7.2K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` - pip install ml-metadata + pip install torchnet ```
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Guild AI (πŸ₯‰27 Β· ⭐ 800) - Experiment tracking, ML developer tools. Apache-2 +
Guild AI (πŸ₯‰26 Β· ⭐ 800) - Experiment tracking, ML developer tools. Apache-2 -- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 73 Β· πŸ“₯ 10 Β· πŸ“¦ 76 Β· πŸ“‹ 420 - 47% open Β· ⏱️ 13.05.2023): +- [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 73 Β· πŸ“₯ 11 Β· πŸ“¦ 77 Β· πŸ“‹ 420 - 48% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 3.2K / month Β· ⏱️ 18.10.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 3.2K / month): ``` pip install guildai ```
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TNT (πŸ₯‰26 Β· ⭐ 1.5K) - A lightweight library for PyTorch training tools and utilities. BSD-3 +
Labml (πŸ₯‰24 Β· ⭐ 1.4K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 230 Β· πŸ“‹ 68 - 10% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 93 Β· πŸ“¦ 87 Β· πŸ“‹ 39 - 56% open Β· ⏱️ 22.03.2023): ``` - git clone https://github.com/pytorch/tnt + git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 7.6K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 3.6K / month Β· πŸ“¦ 6 Β· ⏱️ 23.11.2022): ``` - pip install torchnet + pip install labml ```
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Labml (πŸ₯‰24 Β· ⭐ 1.4K) - Monitor deep learning model training and hardware usage from your mobile.. MIT +
kaggle (πŸ₯‰23 Β· ⭐ 5.3K Β· πŸ“‰) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 93 Β· πŸ“¦ 86 Β· πŸ“‹ 39 - 56% open Β· ⏱️ 22.03.2023): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 980 Β· πŸ“‹ 380 - 58% open Β· ⏱️ 01.03.2023): ``` - git clone https://github.com/labmlai/labml + git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 2.4K / month Β· πŸ“¦ 6 Β· ⏱️ 23.11.2022): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 160K / month): ``` - pip install labml + pip install kaggle + ``` +- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 130K Β· ⏱️ 02.03.2023): + ``` + conda install -c conda-forge kaggle ```
lore (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT -- [GitHub](https://github.com/instacart/lore) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 130 Β· πŸ“¦ 20 Β· πŸ“‹ 45 - 57% open Β· ⏱️ 27.09.2022): +- [GitHub](https://github.com/instacart/lore) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 130 Β· πŸ“¦ 20 Β· πŸ“‹ 35 - 45% open Β· ⏱️ 27.09.2022): ``` git clone https://github.com/instacart/lore ``` -- [PyPi](https://pypi.org/project/lore) (πŸ“₯ 700 / month Β· πŸ“¦ 1 Β· ⏱️ 02.02.2022): +- [PyPi](https://pypi.org/project/lore) (πŸ“₯ 1.1K / month): ``` pip install lore ``` @@ -6322,7 +6126,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 190 / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 440 / month Β· ⏱️ 14.09.2021): ``` pip install studioml ``` @@ -6334,7 +6138,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/replicate/keepsake ``` -- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 180 / month Β· πŸ“¦ 1 Β· ⏱️ 11.03.2021): +- [PyPi](https://pypi.org/project/keepsake) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 11.03.2021): ``` pip install keepsake ``` @@ -6342,15 +6146,15 @@ _Libraries to organize, track, and visualize machine learning experiments._
Show 16 hidden projects... - Catalyst (πŸ₯ˆ29 Β· ⭐ 3.1K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 -- knockknock (πŸ₯‰25 Β· ⭐ 2.6K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT -- livelossplot (πŸ₯‰25 Β· ⭐ 1.2K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - SKLL (πŸ₯‰25 Β· ⭐ 540) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause +- knockknock (πŸ₯‰24 Β· ⭐ 2.6K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - quinn (πŸ₯‰24 Β· ⭐ 460) - pyspark methods to enhance developer productivity. ❗Unlicensed - gokart (πŸ₯‰24 Β· ⭐ 280) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT -- TensorWatch (πŸ₯‰21 Β· ⭐ 3.3K Β· πŸ’€) - Debugging, monitoring and visualization for Python Machine.. MIT -- hiddenlayer (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT +- livelossplot (πŸ₯‰23 Β· ⭐ 1.2K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT +- hiddenlayer (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT - TensorBoard Logger (πŸ₯‰20 Β· ⭐ 620 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - MXBoard (πŸ₯‰20 Β· ⭐ 330 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 +- TensorWatch (πŸ₯‰19 Β· ⭐ 3.3K Β· πŸ’€) - Debugging, monitoring and visualization for Python Machine.. MIT - datmo (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - caliban (πŸ₯‰16 Β· ⭐ 480 Β· πŸ’€) - Research workflows made easy, locally and in the Cloud. Apache-2 - chitra (πŸ₯‰16 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 @@ -6368,35 +6172,23 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡41 Β· ⭐ 15K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 3.5K Β· πŸ“₯ 19K Β· πŸ“¦ 15K Β· πŸ“‹ 2.4K - 15% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 3.5K Β· πŸ“₯ 19K Β· πŸ“¦ 15K Β· πŸ“‹ 2.4K - 15% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 3.1M / month Β· πŸ“¦ 530 Β· ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 3M / month Β· πŸ“¦ 530 Β· ⏱️ 12.12.2022): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 720K Β· ⏱️ 15.05.2023): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 730K Β· ⏱️ 15.05.2023): ``` conda install -c conda-forge onnx ```
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triton (πŸ₯‡35 Β· ⭐ 6.9K) - Development repository for the Triton language and compiler. MIT +
BentoML (πŸ₯‡34 Β· ⭐ 4.9K) - Unified Model Serving Framework. Apache-2 -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 640 Β· πŸ“¦ 2.6K Β· πŸ“‹ 590 - 34% open Β· ⏱️ 18.05.2023): - - ``` - git clone https://github.com/openai/triton - ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 2.9M / month Β· πŸ“¦ 16 Β· ⏱️ 04.07.2022): - ``` - pip install triton - ``` -
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BentoML (πŸ₯ˆ34 Β· ⭐ 4.9K) - Unified Model Serving Framework. Apache-2 - -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“₯ 1.8K Β· πŸ“¦ 960 Β· πŸ“‹ 890 - 19% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 560 Β· πŸ“₯ 1.8K Β· πŸ“¦ 980 Β· πŸ“‹ 900 - 19% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/bentoml/BentoML @@ -6417,19 +6209,19 @@ _Libraries to serialize models to files, convert between a variety of model form ``` pip install coremltools ``` -- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 47K Β· ⏱️ 15.10.2021): +- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 48K Β· ⏱️ 15.10.2021): ``` conda install -c conda-forge coremltools ```
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huggingface_hub (πŸ₯ˆ33 Β· ⭐ 890 Β· πŸ“ˆ) - All the open source things related to the Hugging Face.. Apache-2 +
huggingface_hub (πŸ₯ˆ33 Β· ⭐ 910) - All the open source things related to the Hugging Face Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 210 Β· πŸ“‹ 470 - 20% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 94 Β· πŸ”€ 210 Β· πŸ“‹ 470 - 21% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 12M / month Β· πŸ“¦ 230 Β· ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 12M / month Β· πŸ“¦ 260 Β· ⏱️ 25.01.2023): ``` pip install huggingface_hub ``` @@ -6438,9 +6230,21 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge huggingface_hub ```
+
triton (πŸ₯ˆ32 Β· ⭐ 7K) - Development repository for the Triton language and compiler. MIT + +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 650 Β· πŸ“¦ 2.9K Β· πŸ“‹ 600 - 34% open Β· ⏱️ 25.05.2023): + + ``` + git clone https://github.com/openai/triton + ``` +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 2.9M / month): + ``` + pip install triton + ``` +
TorchServe (πŸ₯ˆ32 Β· ⭐ 3.5K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 730 Β· πŸ“₯ 3.6K Β· πŸ“‹ 1.3K - 20% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 740 Β· πŸ“₯ 3.6K Β· πŸ“‹ 1.3K - 21% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/pytorch/serve @@ -6449,7 +6253,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 82K Β· ⏱️ 12.05.2023): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 83K Β· ⏱️ 12.05.2023): ``` conda install -c pytorch torchserve ``` @@ -6458,25 +6262,25 @@ _Libraries to serialize models to files, convert between a variety of model form docker pull pytorch/torchserve ```
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Hummingbird (πŸ₯ˆ28 Β· ⭐ 3.1K) - Hummingbird compiles trained ML models into tensor computation for.. MIT +
Hummingbird (πŸ₯ˆ29 Β· ⭐ 3.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 260 Β· πŸ“₯ 240 Β· πŸ“¦ 75 Β· πŸ“‹ 290 - 18% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 260 Β· πŸ“₯ 240 Β· πŸ“¦ 77 Β· πŸ“‹ 290 - 18% open Β· ⏱️ 15.05.2023): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 6.4K / month Β· πŸ“¦ 5 Β· ⏱️ 28.02.2023): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 7.3K / month Β· πŸ“¦ 5 Β· ⏱️ 28.02.2023): ``` pip install hummingbird-ml ``` -- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 27K Β· ⏱️ 28.02.2023): +- [Conda](https://anaconda.org/conda-forge/hummingbird-ml) (πŸ“₯ 28K Β· ⏱️ 28.02.2023): ``` conda install -c conda-forge hummingbird-ml ```
nebullvm (πŸ₯ˆ26 Β· ⭐ 8.1K) - The next-generation platform to monitor and optimize your AI costs.. Apache-2 -- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 630 Β· πŸ“‹ 190 - 45% open Β· ⏱️ 05.05.2023): +- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 630 Β· πŸ“‹ 190 - 46% open Β· ⏱️ 05.05.2023): ``` git clone https://github.com/nebuly-ai/nebullvm @@ -6493,7 +6297,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/Microsoft/MMdnn ``` -- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 370 / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): +- [PyPi](https://pypi.org/project/mmdnn) (πŸ“₯ 430 / month Β· πŸ“¦ 3 Β· ⏱️ 24.07.2020): ``` pip install mmdnn ``` @@ -6505,23 +6309,23 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/BayesWitnesses/m2cgen ``` -- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 12K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): ``` pip install m2cgen ```
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hls4ml (πŸ₯‰25 Β· ⭐ 830) - Machine learning on FPGAs using HLS. Apache-2 +
hls4ml (πŸ₯‰25 Β· ⭐ 840) - Machine learning on FPGAs using HLS. Apache-2 - [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 320 Β· πŸ“‹ 360 - 35% open Β· ⏱️ 16.05.2023): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 730 / month Β· ⏱️ 12.11.2021): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 720 / month Β· ⏱️ 12.11.2021): ``` pip install hls4ml ``` -- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 5.8K Β· ⏱️ 12.11.2021): +- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 5.9K Β· ⏱️ 12.11.2021): ``` conda install -c conda-forge hls4ml ``` @@ -6533,7 +6337,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nok/sklearn-porter ``` -- [PyPi](https://pypi.org/project/sklearn-porter) (πŸ“₯ 500 / month Β· πŸ“¦ 1 Β· ⏱️ 18.12.2019): +- [PyPi](https://pypi.org/project/sklearn-porter) (πŸ“₯ 530 / month Β· πŸ“¦ 1 Β· ⏱️ 18.12.2019): ``` pip install sklearn-porter ``` @@ -6545,15 +6349,15 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 970 / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): ``` pip install cortex ```
Show 7 hidden projects... -- Larq Compute Engine (πŸ₯‰20 Β· ⭐ 220) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 840 Β· πŸ’€) - PyTorch to Keras model convertor. MIT +- Larq Compute Engine (πŸ₯‰19 Β· ⭐ 220) - Highly optimized inference engine for Binarized.. Apache-2 - OMLT (πŸ₯‰19 Β· ⭐ 200) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - tfdeploy (πŸ₯‰16 Β· ⭐ 350 Β· πŸ’€) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - modelkit (πŸ₯‰16 Β· ⭐ 140) - Toolkit for developing and maintaining ML models. MIT @@ -6575,34 +6379,34 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 3.9M / month Β· πŸ“¦ 380 Β· ⏱️ 16.06.2022): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 3.8M / month Β· πŸ“¦ 380 Β· ⏱️ 16.06.2022): ``` pip install shap ``` -- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 1.9M Β· ⏱️ 20.06.2022): +- [Conda](https://anaconda.org/conda-forge/shap) (πŸ“₯ 1.9M Β· ⏱️ 20.05.2023): ``` conda install -c conda-forge shap ```
arviz (πŸ₯‡35 Β· ⭐ 1.4K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 330 Β· πŸ“₯ 120 Β· πŸ“¦ 4K Β· πŸ“‹ 820 - 20% open Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 330 Β· πŸ“₯ 120 Β· πŸ“¦ 4.1K Β· πŸ“‹ 820 - 20% open Β· ⏱️ 12.05.2023): ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.1M / month Β· πŸ“¦ 140 Β· ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 1.2M / month Β· πŸ“¦ 140 Β· ⏱️ 16.11.2022): ``` pip install arviz ``` -- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 1.5M Β· ⏱️ 14.03.2023): +- [Conda](https://anaconda.org/conda-forge/arviz) (πŸ“₯ 1.6M Β· ⏱️ 14.03.2023): ``` conda install -c conda-forge arviz ```
Netron (πŸ₯‡34 Β· ⭐ 23K) - Visualizer for neural network, deep learning, and machine.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.5K Β· πŸ“₯ 71K Β· πŸ“¦ 10 Β· πŸ“‹ 930 - 2% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.5K Β· πŸ“₯ 69K Β· πŸ“¦ 10 Β· πŸ“‹ 940 - 2% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/lutzroeder/netron @@ -6614,24 +6418,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
InterpretML (πŸ₯‡34 Β· ⭐ 5.5K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 670 Β· πŸ“¦ 420 Β· πŸ“‹ 360 - 16% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 670 Β· πŸ“¦ 430 Β· πŸ“‹ 360 - 16% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 62K / month Β· πŸ“¦ 26 Β· ⏱️ 18.11.2022): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 61K / month Β· πŸ“¦ 26 Β· ⏱️ 18.11.2022): ``` pip install interpret ```
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Captum (πŸ₯‡32 Β· ⭐ 3.9K) - Model interpretability and understanding for PyTorch. BSD-3 +
Captum (πŸ₯‡32 Β· ⭐ 4K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 420 Β· πŸ“¦ 1.2K Β· πŸ“‹ 460 - 33% open Β· ⏱️ 02.05.2023): +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 420 Β· πŸ“¦ 1.2K Β· πŸ“‹ 450 - 31% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/pytorch/captum ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 120K / month Β· πŸ“¦ 49 Β· ⏱️ 27.12.2022): +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 130K / month): ``` pip install captum ``` @@ -6642,23 +6446,35 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
pyLDAvis (πŸ₯‡32 Β· ⭐ 1.7K) - Python library for interactive topic model visualization. Port of.. BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“¦ 4.9K Β· πŸ“‹ 180 - 44% open Β· ⏱️ 24.04.2023): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 360 Β· πŸ“¦ 5K Β· πŸ“‹ 180 - 44% open Β· ⏱️ 24.04.2023): ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 490K / month Β· πŸ“¦ 150 Β· ⏱️ 24.03.2021): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 480K / month Β· πŸ“¦ 150 Β· ⏱️ 24.03.2021): ``` pip install pyldavis ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 66K Β· ⏱️ 29.04.2023): +- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 67K Β· ⏱️ 29.04.2023): ``` conda install -c conda-forge pyldavis ```
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evaluate (πŸ₯ˆ31 Β· ⭐ 1.4K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 + +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 140 Β· πŸ“¦ 2.1K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 23.05.2023): + + ``` + git clone https://github.com/huggingface/evaluate + ``` +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 510K / month Β· πŸ“¦ 62 Β· ⏱️ 13.12.2022): + ``` + pip install evaluate + ``` +
DoWhy (πŸ₯ˆ30 Β· ⭐ 5.9K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 820 Β· πŸ“₯ 32 Β· πŸ“¦ 240 Β· πŸ“‹ 370 - 32% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 820 Β· πŸ“₯ 32 Β· πŸ“¦ 240 Β· πŸ“‹ 380 - 32% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/py-why/dowhy @@ -6672,34 +6488,22 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge dowhy ```
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dtreeviz (πŸ₯ˆ30 Β· ⭐ 2.5K) - A python library for decision tree visualization and model interpretation. MIT +
dtreeviz (πŸ₯ˆ29 Β· ⭐ 2.5K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 300 Β· πŸ“¦ 770 Β· πŸ“‹ 180 - 27% open Β· ⏱️ 16.04.2023): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 310 Β· πŸ“¦ 780 Β· πŸ“‹ 180 - 27% open Β· ⏱️ 16.04.2023): ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 94K / month Β· πŸ“¦ 21 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 93K / month Β· πŸ“¦ 21 Β· ⏱️ 29.01.2023): ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 45K Β· ⏱️ 16.04.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 46K Β· ⏱️ 16.04.2023): ``` conda install -c conda-forge dtreeviz ```
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evaluate (πŸ₯ˆ30 Β· ⭐ 1.3K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 - -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 140 Β· πŸ“¦ 2K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 19.04.2023): - - ``` - git clone https://github.com/huggingface/evaluate - ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 510K / month Β· πŸ“¦ 62 Β· ⏱️ 13.12.2022): - ``` - pip install evaluate - ``` -
shapash (πŸ₯ˆ29 Β· ⭐ 2.2K) - Shapash makes Machine Learning models transparent and.. Apache-2 - [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 110 Β· πŸ“‹ 160 - 16% open Β· ⏱️ 09.05.2023): @@ -6707,14 +6511,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.4K / month Β· πŸ“¦ 2 Β· ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.1K / month Β· πŸ“¦ 2 Β· ⏱️ 17.01.2023): ``` pip install shapash ```
Alibi (πŸ₯ˆ29 Β· ⭐ 2K) - Algorithms for explaining machine learning models. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 220 Β· πŸ“¦ 470 Β· πŸ“‹ 350 - 38% open Β· ⏱️ 03.05.2023): +- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 220 Β· πŸ“¦ 480 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/SeldonIO/alibi @@ -6724,70 +6528,70 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin pip install alibi ```
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explainerdashboard (πŸ₯ˆ29 Β· ⭐ 1.8K) - Quickly build Explainable AI dashboards that show the inner.. MIT +
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 830) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 290 Β· πŸ“‹ 210 - 8% open Β· ⏱️ 09.05.2023): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 220 Β· πŸ“¦ 56 Β· πŸ“‹ 290 - 23% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/oegedijk/explainerdashboard - ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 32K / month Β· πŸ“¦ 8 Β· ⏱️ 02.01.2023): - ``` - pip install explainerdashboard + git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 34K Β· ⏱️ 20.02.2023): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.1K / month Β· πŸ“¦ 3 Β· ⏱️ 18.01.2023): ``` - conda install -c conda-forge explainerdashboard + pip install raiwidgets ```
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Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 +
yellowbrick (πŸ₯ˆ28 Β· ⭐ 4K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 270 Β· πŸ“‹ 83 - 38% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 540 Β· πŸ“‹ 690 - 12% open Β· ⏱️ 19.03.2023): ``` - git clone https://github.com/tensorflow/model-analysis + git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 230K / month Β· πŸ“¦ 23 Β· ⏱️ 09.12.2022): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 510K / month Β· πŸ“¦ 75 Β· ⏱️ 21.08.2022): ``` - pip install tensorflow-model-analysis + pip install yellowbrick + ``` +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 62K Β· ⏱️ 22.08.2022): + ``` + conda install -c conda-forge yellowbrick ```
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responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 800) - Responsible AI Toolbox is a suite of tools providing.. MIT +
explainerdashboard (πŸ₯ˆ28 Β· ⭐ 1.8K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“¦ 56 Β· πŸ“‹ 290 - 23% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“¦ 290 Β· πŸ“‹ 210 - 8% open Β· ⏱️ 09.05.2023): ``` - git clone https://github.com/microsoft/responsible-ai-toolbox + git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.4K / month Β· πŸ“¦ 3 Β· ⏱️ 18.01.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 33K / month): ``` - pip install raiwidgets + pip install explainerdashboard + ``` +- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (πŸ“₯ 34K Β· ⏱️ 20.02.2023): + ``` + conda install -c conda-forge explainerdashboard ```
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yellowbrick (πŸ₯ˆ28 Β· ⭐ 4K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 +
CausalNex (πŸ₯ˆ27 Β· ⭐ 1.9K) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 540 Β· πŸ“‹ 690 - 12% open Β· ⏱️ 19.03.2023): +- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 210 Β· πŸ“¦ 90 Β· πŸ“‹ 120 - 8% open Β· ⏱️ 25.04.2023): ``` - git clone https://github.com/DistrictDataLabs/yellowbrick - ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 510K / month Β· πŸ“¦ 75 Β· ⏱️ 21.08.2022): - ``` - pip install yellowbrick + git clone https://github.com/quantumblacklabs/causalnex ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 61K Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 4K / month): ``` - conda install -c conda-forge yellowbrick + pip install causalnex ```
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fairlearn (πŸ₯ˆ28 Β· ⭐ 1.6K) - A Python package to assess and improve fairness of machine.. MIT +
fairlearn (πŸ₯ˆ27 Β· ⭐ 1.6K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 340 Β· πŸ“‹ 440 - 39% open Β· ⏱️ 04.05.2023): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 340 Β· πŸ“‹ 440 - 38% open Β· ⏱️ 04.05.2023): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 130K / month Β· πŸ“¦ 19 Β· ⏱️ 28.10.2022): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 120K / month Β· πŸ“¦ 19 Β· ⏱️ 28.10.2022): ``` pip install fairlearn ``` @@ -6796,26 +6600,26 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge fairlearn ```
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CausalNex (πŸ₯ˆ27 Β· ⭐ 1.9K) - A Python library that helps data scientists to infer.. Apache-2 +
Model Analysis (πŸ₯ˆ27 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/quantumblacklabs/causalnex) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 220 Β· πŸ“¦ 87 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 25.04.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 250 Β· πŸ“‹ 71 - 28% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/quantumblacklabs/causalnex + git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 4K / month Β· πŸ“¦ 2 Β· ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 220K / month): ``` - pip install causalnex + pip install tensorflow-model-analysis ```
Fairness 360 (πŸ₯ˆ26 Β· ⭐ 2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 670 Β· πŸ“¦ 240 Β· πŸ“‹ 260 - 65% open Β· ⏱️ 04.11.2022): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 660 Β· πŸ“¦ 250 Β· πŸ“‹ 230 - 61% open Β· ⏱️ 04.11.2022): ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.6K / month Β· πŸ“¦ 12 Β· ⏱️ 03.09.2022): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 5.8K / month): ``` pip install aif360 ``` @@ -6824,38 +6628,26 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge aif360 ```
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Explainability 360 (πŸ₯ˆ26 Β· ⭐ 1.3K) - Interpretability and explainability of data and.. Apache-2 - -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“¦ 72 Β· πŸ“‹ 81 - 64% open Β· ⏱️ 10.05.2023): - - ``` - git clone https://github.com/Trusted-AI/AIX360 - ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.10.2020): - ``` - pip install aix360 - ``` -
iNNvestigate (πŸ₯ˆ26 Β· ⭐ 1.1K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 58 Β· πŸ“¦ 100 Β· πŸ“‹ 250 - 20% open Β· ⏱️ 05.05.2023): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“₯ 58 Β· πŸ“¦ 100 Β· πŸ“‹ 250 - 19% open Β· ⏱️ 05.05.2023): ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 800 / month Β· πŸ“¦ 2 Β· ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 780 / month): ``` pip install innvestigate ```
imodels (πŸ₯ˆ26 Β· ⭐ 1.1K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 98 Β· πŸ“¦ 45 Β· πŸ“‹ 64 - 34% open Β· ⏱️ 09.05.2023): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 98 Β· πŸ“¦ 47 Β· πŸ“‹ 64 - 34% open Β· ⏱️ 09.05.2023): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 24K / month Β· πŸ“¦ 4 Β· ⏱️ 03.07.2022): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 32K / month Β· πŸ“¦ 4 Β· ⏱️ 03.07.2022): ``` pip install imodels ``` @@ -6867,15 +6659,27 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 4.6K / month Β· πŸ“¦ 6 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` -- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 5.5K Β· ⏱️ 15.07.2021): +- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 5.6K Β· ⏱️ 15.07.2021): ``` conda install -c conda-forge checklist ```
+
Explainability 360 (πŸ₯‰25 Β· ⭐ 1.3K) - Interpretability and explainability of data and.. Apache-2 + +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 280 Β· πŸ“¦ 73 Β· πŸ“‹ 72 - 59% open Β· ⏱️ 24.05.2023): + + ``` + git clone https://github.com/Trusted-AI/AIX360 + ``` +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 770 / month): + ``` + pip install aix360 + ``` +
LIT (πŸ₯‰24 Β· ⭐ 3.1K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 - [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 320 Β· πŸ“¦ 19 Β· πŸ“‹ 140 - 46% open Β· ⏱️ 02.12.2022): @@ -6883,7 +6687,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 02.12.2022): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 02.12.2022): ``` pip install lit-nlp ``` @@ -6892,18 +6696,6 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge lit-nlp ```
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DiCE (πŸ₯‰22 Β· ⭐ 1.1K) - Generate Diverse Counterfactual Explanations for any machine.. MIT - -- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 160 Β· πŸ“‹ 140 - 38% open Β· ⏱️ 15.05.2023): - - ``` - git clone https://github.com/interpretml/DiCE - ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 28K / month Β· πŸ“¦ 5 Β· ⏱️ 19.10.2022): - ``` - pip install dice-ml - ``` -
keract (πŸ₯‰22 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT - [GitHub](https://github.com/philipperemy/keract) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 180 Β· πŸ“¦ 180 Β· πŸ“‹ 89 - 3% open Β· ⏱️ 03.11.2022): @@ -6911,7 +6703,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 6.4K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 7.5K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` pip install keract ``` @@ -6923,7 +6715,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 9K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 8.9K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6931,93 +6723,93 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ```
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tf-explain (πŸ₯‰21 Β· ⭐ 980 Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT +
model-card-toolkit (πŸ₯‰22 Β· ⭐ 370) - A toolkit that streamlines and automates the generation.. Apache-2 -- [GitHub](https://github.com/sicara/tf-explain) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 170 Β· πŸ“‹ 92 - 44% open Β· ⏱️ 30.06.2022): +- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 80 Β· πŸ“₯ 4 Β· πŸ“¦ 19 Β· πŸ“‹ 27 - 37% open Β· ⏱️ 21.05.2023): ``` - git clone https://github.com/sicara/tf-explain + git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/tf-explain) (πŸ“₯ 3K / month Β· πŸ“¦ 8 Β· ⏱️ 18.11.2021): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` - pip install tf-explain + pip install model-card-toolkit ```
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aequitas (πŸ₯‰21 Β· ⭐ 540) - Bias and Fairness Audit Toolkit. MIT +
DiCE (πŸ₯‰21 Β· ⭐ 1.1K) - Generate Diverse Counterfactual Explanations for any machine.. MIT -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 94 Β· πŸ“¦ 130 Β· πŸ“‹ 70 - 68% open Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 160 Β· πŸ“‹ 140 - 37% open Β· ⏱️ 15.05.2023): ``` - git clone https://github.com/dssg/aequitas + git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 1.6K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 28K / month): ``` - pip install aequitas + pip install dice-ml ```
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model-card-toolkit (πŸ₯‰21 Β· ⭐ 370) - A toolkit that streamlines and automates the generation.. Apache-2 +
tf-explain (πŸ₯‰21 Β· ⭐ 980 Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT -- [GitHub](https://github.com/tensorflow/model-card-toolkit) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 80 Β· πŸ“₯ 4 Β· πŸ“¦ 18 Β· πŸ“‹ 26 - 38% open Β· ⏱️ 12.05.2023): +- [GitHub](https://github.com/sicara/tf-explain) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 170 Β· πŸ“‹ 92 - 44% open Β· ⏱️ 30.06.2022): ``` - git clone https://github.com/tensorflow/model-card-toolkit + git clone https://github.com/sicara/tf-explain ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/tf-explain) (πŸ“₯ 2.9K / month Β· πŸ“¦ 8 Β· ⏱️ 18.11.2021): ``` - pip install model-card-toolkit + pip install tf-explain ```
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sklearn-evaluation (πŸ₯‰20 Β· ⭐ 360 Β· 🐣) - Machine learning model evaluation made easy: plots,.. MIT +
aequitas (πŸ₯‰21 Β· ⭐ 540) - Bias and Fairness Audit Toolkit. MIT -- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 41 Β· ⏱️ 13.01.2023): +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 94 Β· πŸ“¦ 130 Β· πŸ“‹ 70 - 68% open Β· ⏱️ 12.05.2023): ``` - git clone https://github.com/edublancas/sklearn-evaluation + git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 120K / month Β· πŸ“¦ 5 Β· ⏱️ 07.03.2023): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 1.5K / month Β· πŸ“¦ 6 Β· ⏱️ 16.12.2020): ``` - pip install sklearn-evaluation + pip install aequitas ```
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fairness-indicators (πŸ₯‰19 Β· ⭐ 310) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 +
fairness-indicators (πŸ₯‰20 Β· ⭐ 310) - Tensorflows Fairness Evaluation and Visualization.. Apache-2 - [GitHub](https://github.com/tensorflow/fairness-indicators) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 78 Β· πŸ“‹ 30 - 70% open Β· ⏱️ 03.05.2023): ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.1K / month Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.2K / month Β· ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
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LOFO (πŸ₯‰18 Β· ⭐ 730) - Leave One Feature Out Importance. MIT +
Anchor (πŸ₯‰15 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 -- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 74 Β· πŸ“¦ 25 Β· πŸ“‹ 26 - 23% open Β· ⏱️ 14.04.2023): +- [GitHub](https://github.com/marcotcr/anchor) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“‹ 75 - 32% open Β· ⏱️ 19.07.2022): ``` - git clone https://github.com/aerdem4/lofo-importance + git clone https://github.com/marcotcr/anchor ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 1.5K / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/anchor_exp) (πŸ“₯ 1.2K / month): ``` - pip install lofo-importance + pip install anchor_exp ```
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Anchor (πŸ₯‰16 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +
LOFO (πŸ₯‰15 Β· ⭐ 730) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/marcotcr/anchor) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“‹ 75 - 32% open Β· ⏱️ 19.07.2022): +- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 74 Β· πŸ“¦ 25 Β· πŸ“‹ 23 - 13% open Β· ⏱️ 14.04.2023): ``` - git clone https://github.com/marcotcr/anchor + git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/anchor_exp) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 10.09.2020): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 1.5K / month): ``` - pip install anchor_exp + pip install lofo-importance ```
ExplainX.ai (πŸ₯‰15 Β· ⭐ 350 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT @@ -7027,33 +6819,45 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 3.6K / month Β· ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (πŸ“₯ 3.5K / month): ``` pip install explainx ```
+
sklearn-evaluation (πŸ₯‰11 Β· 🐣) - Machine learning model evaluation made easy: plots, tables,.. MIT + +- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 19 Β· ⏱️ 13.01.2023): + + ``` + git clone https://github.com/edublancas/sklearn-evaluation + ``` +- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 120K / month): + ``` + pip install sklearn-evaluation + ``` +
Show 20 hidden projects... - Lime (πŸ₯‡33 Β· ⭐ 11K Β· πŸ’€) - Lime: Explaining the predictions of any machine learning classifier. BSD-2 -- Deep Checks (πŸ₯ˆ29 Β· ⭐ 2.6K) - Deepchecks - Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 +- Deep Checks (πŸ₯ˆ28 Β· ⭐ 2.7K) - Deepchecks - Tests for Continuous Validation of ML Models &.. ❗Unlicensed - scikit-plot (πŸ₯ˆ27 Β· ⭐ 2.3K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - DALEX (πŸ₯ˆ27 Β· ⭐ 1.2K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 +- eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - Lucid (πŸ₯‰25 Β· ⭐ 4.5K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 -- keras-vis (πŸ₯‰25 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT -- eli5 (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT -- TreeInterpreter (πŸ₯‰22 Β· ⭐ 720 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 +- keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT - random-forest-importances (πŸ₯‰22 Β· ⭐ 550 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT - Quantus (πŸ₯‰22 Β· ⭐ 360) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️LGPL-3.0 - Skater (πŸ₯‰21 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 - deeplift (πŸ₯‰21 Β· ⭐ 730 Β· πŸ’€) - Public facing deeplift repo. MIT - ecco (πŸ₯‰20 Β· ⭐ 1.7K Β· πŸ’€) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 +- TreeInterpreter (πŸ₯‰20 Β· ⭐ 720 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - tcav (πŸ₯‰20 Β· ⭐ 570 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 -- XAI (πŸ₯‰17 Β· ⭐ 910 Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - FlashTorch (πŸ₯‰17 Β· ⭐ 710 Β· πŸ’€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT -- interpret-text (πŸ₯‰13 Β· ⭐ 360 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT +- XAI (πŸ₯‰16 Β· ⭐ 910 Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT +- interpret-text (πŸ₯‰13 Β· ⭐ 370 Β· πŸ’€) - A library that incorporates state-of-the-art explainers.. MIT - contextual-ai (πŸ₯‰12 Β· ⭐ 84 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 -- Attribution Priors (πŸ₯‰11 Β· ⭐ 110 Β· πŸ’€) - Tools for training explainable models using.. MIT -- bias-detector (πŸ₯‰11 Β· ⭐ 41 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT +- Attribution Priors (πŸ₯‰10 Β· ⭐ 110 Β· πŸ’€) - Tools for training explainable models using.. MIT +- bias-detector (πŸ₯‰10 Β· ⭐ 41 Β· πŸ’€) - MIT

@@ -7067,7 +6871,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (πŸ₯‡39 Β· ⭐ 19K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.1K Β· πŸ“₯ 36K Β· πŸ“‹ 7.8K - 6% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.2K Β· πŸ“₯ 29K Β· πŸ“‹ 7.9K - 7% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/milvus-io/milvus @@ -7076,14 +6880,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 3.5M Β· ⭐ 28 Β· ⏱️ 18.05.2023): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 3.6M Β· ⭐ 28 Β· ⏱️ 25.05.2023): ``` docker pull milvusdb/milvus ```
Faiss (πŸ₯‡38 Β· ⭐ 22K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“¦ 1.1K Β· πŸ“‹ 2.1K - 15% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.9K Β· πŸ“¦ 1.1K Β· πŸ“‹ 2.1K - 15% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/facebookresearch/faiss @@ -7092,14 +6896,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 740K Β· ⏱️ 10.01.2023): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 750K Β· ⏱️ 25.05.2023): ``` conda install -c conda-forge faiss ```
Annoy (πŸ₯ˆ35 Β· ⭐ 11K) - Approximate Nearest Neighbors in C++/Python optimized for memory usage.. Apache-2 -- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 1.1K Β· πŸ“¦ 2.9K Β· πŸ“‹ 380 - 13% open Β· ⏱️ 02.05.2023): +- [GitHub](https://github.com/spotify/annoy) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 1.1K Β· πŸ“¦ 2.9K Β· πŸ“‹ 380 - 13% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/spotify/annoy @@ -7115,39 +6919,39 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
hnswlib (πŸ₯ˆ31 Β· ⭐ 3K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 450 Β· πŸ“¦ 970 Β· πŸ“‹ 300 - 54% open Β· ⏱️ 05.02.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 450 Β· πŸ“¦ 1.1K Β· πŸ“‹ 300 - 54% open Β· ⏱️ 05.02.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 720K / month Β· πŸ“¦ 43 Β· ⏱️ 14.02.2022): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 800K / month Β· πŸ“¦ 43 Β· ⏱️ 14.02.2022): ``` pip install hnswlib ``` -- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 83K Β· ⏱️ 07.02.2023): +- [Conda](https://anaconda.org/conda-forge/hnswlib) (πŸ“₯ 85K Β· ⏱️ 07.02.2023): ``` conda install -c conda-forge hnswlib ```
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NMSLIB (πŸ₯ˆ30 Β· ⭐ 3K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 +
NMSLIB (πŸ₯ˆ30 Β· ⭐ 3.1K Β· πŸ’€) - Non-Metric Space Library (NMSLIB): An efficient similarity search.. Apache-2 -- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 420 Β· πŸ“¦ 860 Β· πŸ“‹ 420 - 16% open Β· ⏱️ 31.05.2022): +- [GitHub](https://github.com/nmslib/nmslib) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 420 Β· πŸ“¦ 870 Β· πŸ“‹ 420 - 16% open Β· ⏱️ 31.05.2022): ``` git clone https://github.com/nmslib/nmslib ``` -- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 180K / month Β· πŸ“¦ 57 Β· ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/nmslib) (πŸ“₯ 190K / month Β· πŸ“¦ 57 Β· ⏱️ 03.02.2021): ``` pip install nmslib ``` -- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 87K Β· ⏱️ 30.10.2022): +- [Conda](https://anaconda.org/conda-forge/nmslib) (πŸ“₯ 88K Β· ⏱️ 30.10.2022): ``` conda install -c conda-forge nmslib ```
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PyNNDescent (πŸ₯‰28 Β· ⭐ 750) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 +
PyNNDescent (πŸ₯‰27 Β· ⭐ 760) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 94 Β· πŸ“¦ 3.5K Β· πŸ“‹ 120 - 50% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 94 Β· πŸ“¦ 3.6K Β· πŸ“‹ 120 - 50% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/lmcinnes/pynndescent @@ -7180,7 +6984,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/pixelogik/NearPy ``` -- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 1.2K / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): +- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 1.3K / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): ``` pip install NearPy ``` @@ -7201,12 +7005,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡39 Β· ⭐ 7.6K) - Bayesian Modeling in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 1.5K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 460 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 1.5K Β· πŸ“‹ 3K - 6% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 340K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 360K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): ``` pip install pymc3 ``` @@ -7217,12 +7021,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡37 Β· ⭐ 3.9K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 46% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 46% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.1M / month Β· πŸ“¦ 400 Β· ⏱️ 06.12.2022): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 1.1M / month Β· πŸ“¦ 410 Β· ⏱️ 06.12.2022): ``` pip install tensorflow-probability ``` @@ -7231,9 +7035,9 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge tensorflow-probability ```
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Pyro (πŸ₯‡34 Β· ⭐ 7.9K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 +
Pyro (πŸ₯‡34 Β· ⭐ 8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 960 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1K - 22% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 960 Β· πŸ“¦ 1.4K Β· πŸ“‹ 1K - 22% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/pyro-ppl/pyro @@ -7242,35 +7046,35 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install pyro-ppl ``` -- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 70K Β· ⏱️ 04.01.2023): +- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 72K Β· ⏱️ 04.01.2023): ``` conda install -c conda-forge pyro-ppl ```
GPyTorch (πŸ₯ˆ33 Β· ⭐ 3.1K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 490 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.2K - 26% open Β· ⏱️ 11.05.2023): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 490 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 20.05.2023): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 230K / month Β· πŸ“¦ 68 Β· ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 220K / month Β· πŸ“¦ 68 Β· ⏱️ 04.01.2023): ``` pip install gpytorch ``` -- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 95K Β· ⏱️ 15.04.2023): +- [Conda](https://anaconda.org/conda-forge/gpytorch) (πŸ“₯ 97K Β· ⏱️ 15.04.2023): ``` conda install -c conda-forge gpytorch ```
pomegranate (πŸ₯ˆ31 Β· ⭐ 3.1K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT -- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 560 Β· πŸ“¦ 920 Β· πŸ“‹ 790 - 11% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/jmschrei/pomegranate) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 570 Β· πŸ“¦ 930 Β· πŸ“‹ 710 - 1% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 34K / month Β· πŸ“¦ 53 Β· ⏱️ 21.02.2022): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 31K / month Β· πŸ“¦ 54 Β· ⏱️ 21.02.2022): ``` pip install pomegranate ``` @@ -7290,42 +7094,58 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 170K Β· ⏱️ 19.04.2023): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 180K Β· ⏱️ 19.04.2023): ``` conda install -c conda-forge hmmlearn ```
pgmpy (πŸ₯ˆ31 Β· ⭐ 2.4K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 670 Β· πŸ“₯ 230 Β· πŸ“¦ 620 Β· πŸ“‹ 840 - 28% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 670 Β· πŸ“₯ 240 Β· πŸ“¦ 630 Β· πŸ“‹ 840 - 28% open Β· ⏱️ 17.05.2023): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 57K / month Β· πŸ“¦ 24 Β· ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 59K / month Β· πŸ“¦ 24 Β· ⏱️ 02.01.2023): ``` pip install pgmpy ```
GPflow (πŸ₯ˆ31 Β· ⭐ 1.7K) - Gaussian processes in TensorFlow. Apache-2 -- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 440 Β· πŸ“¦ 510 Β· πŸ“‹ 820 - 17% open Β· ⏱️ 03.05.2023): +- [GitHub](https://github.com/GPflow/GPflow) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 440 Β· πŸ“¦ 520 Β· πŸ“‹ 820 - 17% open Β· ⏱️ 03.05.2023): ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 56K / month Β· πŸ“¦ 35 Β· ⏱️ 27.01.2023): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 55K / month Β· πŸ“¦ 35 Β· ⏱️ 27.01.2023): ``` pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 21K Β· ⏱️ 24.05.2022): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 22K Β· ⏱️ 24.05.2022): ``` conda install -c conda-forge gpflow ```
+
emcee (πŸ₯ˆ31 Β· ⭐ 1.3K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT + +- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 430 Β· πŸ“¦ 1.9K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 23.05.2023): + + ``` + git clone https://github.com/dfm/emcee + ``` +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 130K / month Β· πŸ“¦ 340 Β· ⏱️ 27.01.2023): + ``` + pip install emcee + ``` +- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 290K Β· ⏱️ 27.01.2023): + ``` + conda install -c conda-forge emcee + ``` +
SALib (πŸ₯ˆ31 Β· ⭐ 720) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 210 Β· πŸ“¦ 750 Β· πŸ“‹ 300 - 13% open Β· ⏱️ 02.05.2023): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 210 Β· πŸ“¦ 760 Β· πŸ“‹ 300 - 13% open Β· ⏱️ 02.05.2023): ``` git clone https://github.com/SALib/SALib @@ -7341,12 +7161,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pandas-ta (πŸ₯‰30 Β· ⭐ 3.6K Β· πŸ’€) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT -- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 750 Β· πŸ“¦ 3K Β· πŸ“‹ 490 - 17% open Β· ⏱️ 24.09.2022): +- [GitHub](https://github.com/twopirllc/pandas-ta) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 760 Β· πŸ“¦ 3K Β· πŸ“‹ 510 - 21% open Β· ⏱️ 24.09.2022): ``` git clone https://github.com/twopirllc/pandas-ta ``` -- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 71K / month): +- [PyPi](https://pypi.org/project/pandas-ta) (πŸ“₯ 69K / month Β· πŸ“¦ 33 Β· ⏱️ 28.07.2021): ``` pip install pandas-ta ``` @@ -7357,69 +7177,53 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
filterpy (πŸ₯‰30 Β· ⭐ 2.7K Β· πŸ’€) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 550 Β· πŸ“¦ 3.1K Β· πŸ“‹ 220 - 26% open Β· ⏱️ 22.08.2022): - - ``` - git clone https://github.com/rlabbe/filterpy - ``` -- [PyPi](https://pypi.org/project/filterpy) (πŸ“₯ 2.5M / month Β· πŸ“¦ 150 Β· ⏱️ 10.10.2018): - ``` - pip install filterpy - ``` -- [Conda](https://anaconda.org/conda-forge/filterpy) (πŸ“₯ 220K Β· ⏱️ 05.05.2020): - ``` - conda install -c conda-forge filterpy - ``` -
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emcee (πŸ₯‰30 Β· ⭐ 1.3K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT - -- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 430 Β· πŸ“¦ 1.9K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 04.04.2023): +- [GitHub](https://github.com/rlabbe/filterpy) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 550 Β· πŸ“¦ 3.2K Β· πŸ“‹ 220 - 26% open Β· ⏱️ 22.08.2022): ``` - git clone https://github.com/dfm/emcee + git clone https://github.com/rlabbe/filterpy ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 120K / month Β· πŸ“¦ 340 Β· ⏱️ 27.01.2023): +- [PyPi](https://pypi.org/project/filterpy) (πŸ“₯ 2.4M / month Β· πŸ“¦ 150 Β· ⏱️ 10.10.2018): ``` - pip install emcee + pip install filterpy ``` -- [Conda](https://anaconda.org/conda-forge/emcee) (πŸ“₯ 290K Β· ⏱️ 27.01.2023): +- [Conda](https://anaconda.org/conda-forge/filterpy) (πŸ“₯ 220K Β· ⏱️ 05.05.2020): ``` - conda install -c conda-forge emcee + conda install -c conda-forge filterpy ```
patsy (πŸ₯‰30 Β· ⭐ 880 Β· πŸ’€) - Describing statistical models in Python using symbolic formulas. BSD-2 -- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 100 Β· πŸ“¦ 71K Β· πŸ“‹ 140 - 48% open Β· ⏱️ 09.10.2022): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 100 Β· πŸ“¦ 72K Β· πŸ“‹ 140 - 48% open Β· ⏱️ 09.10.2022): ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 8.4M / month Β· πŸ“¦ 2.7K Β· ⏱️ 09.10.2022): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 8.5M / month Β· πŸ“¦ 2.7K Β· ⏱️ 09.10.2022): ``` pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 7.9M Β· ⏱️ 09.10.2022): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 8M Β· ⏱️ 09.10.2022): ``` conda install -c conda-forge patsy ```
bambi (πŸ₯‰27 Β· ⭐ 900) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 100 Β· πŸ“¦ 68 Β· πŸ“‹ 330 - 20% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 100 Β· πŸ“¦ 69 Β· πŸ“‹ 340 - 21% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 9K / month Β· πŸ“¦ 5 Β· ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 11K / month Β· πŸ“¦ 5 Β· ⏱️ 21.12.2022): ``` pip install bambi ``` -- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 21K Β· ⏱️ 10.02.2023): +- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 21K Β· ⏱️ 25.05.2023): ``` conda install -c conda-forge bambi ```
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Orbit (πŸ₯‰24 Β· ⭐ 1.6K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 +
Orbit (πŸ₯‰24 Β· ⭐ 1.7K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 - [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 25 Β· πŸ“‹ 380 - 14% open Β· ⏱️ 29.01.2023): @@ -7431,25 +7235,25 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes pip install orbit-ml ```
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Baal (πŸ₯‰21 Β· ⭐ 740) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 +
Baal (πŸ₯‰21 Β· ⭐ 750) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 -- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 75 Β· πŸ“¦ 48 Β· πŸ“‹ 97 - 23% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/baal-org/baal) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 75 Β· πŸ“¦ 49 Β· πŸ“‹ 99 - 23% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 28.10.2022): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.10.2022): ``` pip install baal ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 5.5K Β· ⏱️ 31.10.2022): +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 5.6K Β· ⏱️ 31.10.2022): ``` conda install -c conda-forge baal ```
Show 7 hidden projects... -- pingouin (πŸ₯‰29 Β· ⭐ 1.3K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 +- pingouin (πŸ₯‰28 Β· ⭐ 1.3K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ’€) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 - PyStan (πŸ₯‰26 Β· ⭐ 260) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC - scikit-posthocs (πŸ₯‰22 Β· ⭐ 290) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT @@ -7465,14 +7269,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes _Libraries for testing the robustness of machine learning models against attacks with adversarial/malicious examples._ -
ART (πŸ₯‡34 Β· ⭐ 3.7K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT +
ART (πŸ₯‡33 Β· ⭐ 3.7K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 980 Β· πŸ“¦ 350 Β· πŸ“‹ 800 - 13% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 980 Β· πŸ“¦ 360 Β· πŸ“‹ 800 - 13% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox ``` -- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 32K / month Β· πŸ“¦ 10 Β· ⏱️ 16.02.2023): +- [PyPi](https://pypi.org/project/adversarial-robustness-toolbox) (πŸ“₯ 26K / month Β· πŸ“¦ 10 Β· ⏱️ 16.02.2023): ``` pip install adversarial-robustness-toolbox ``` @@ -7488,11 +7292,11 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/cleverhans-lab/cleverhans ``` -- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 1.4K / month Β· πŸ“¦ 12 Β· ⏱️ 24.07.2021): +- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 1.3K / month Β· πŸ“¦ 12 Β· ⏱️ 24.07.2021): ``` pip install cleverhans ``` -- [Conda](https://anaconda.org/conda-forge/cleverhans) (πŸ“₯ 6K Β· ⏱️ 29.07.2021): +- [Conda](https://anaconda.org/conda-forge/cleverhans) (πŸ“₯ 6.1K Β· ⏱️ 29.07.2021): ``` conda install -c conda-forge cleverhans ``` @@ -7504,23 +7308,23 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.7K / month Β· πŸ“¦ 15 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.9K / month Β· πŸ“¦ 15 Β· ⏱️ 02.04.2022): ``` pip install foolbox ``` -- [Conda](https://anaconda.org/conda-forge/foolbox) (πŸ“₯ 10K Β· ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/foolbox) (πŸ“₯ 11K Β· ⏱️ 30.04.2021): ``` conda install -c conda-forge foolbox ```
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TextAttack (πŸ₯ˆ27 Β· ⭐ 2.3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
TextAttack (πŸ₯ˆ27 Β· ⭐ 2.4K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 320 Β· πŸ“¦ 170 Β· πŸ“‹ 250 - 15% open Β· ⏱️ 21.12.2022): +- [GitHub](https://github.com/QData/TextAttack) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 320 Β· πŸ“¦ 180 Β· πŸ“‹ 250 - 15% open Β· ⏱️ 21.12.2022): ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 5.7K / month Β· πŸ“¦ 7 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 5.9K / month Β· πŸ“¦ 7 Β· ⏱️ 02.11.2022): ``` pip install textattack ``` @@ -7536,7 +7340,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/advboxes/AdvBox ``` -- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 36 / month Β· ⏱️ 05.12.2018): +- [PyPi](https://pypi.org/project/advbox) (πŸ“₯ 30 / month Β· ⏱️ 05.12.2018): ``` pip install advbox ``` @@ -7544,7 +7348,7 @@ _Libraries for testing the robustness of machine learning models against attacks
Show 4 hidden projects... - advertorch (πŸ₯‰22 Β· ⭐ 1.2K Β· πŸ’€) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 -- robustness (πŸ₯‰18 Β· ⭐ 790 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT +- robustness (πŸ₯‰18 Β· ⭐ 800 Β· πŸ’€) - A library for experimenting with, training and evaluating neural.. MIT - textflint (πŸ₯‰16 Β· ⭐ 610 Β· πŸ’€) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 - Adversary (πŸ₯‰14 Β· ⭐ 380 Β· πŸ’€) - Tool to generate adversarial text examples and test machine.. MIT
@@ -7556,59 +7360,47 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._ -
cuDF (πŸ₯‡31 Β· ⭐ 5.5K) - cuDF - GPU DataFrame Library. Apache-2 - -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 690 Β· πŸ“‹ 5.4K - 15% open Β· ⏱️ 18.05.2023): - - ``` - git clone https://github.com/rapidsai/cudf - ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.2K / month Β· πŸ“¦ 8 Β· ⏱️ 01.06.2020): - ``` - pip install cudf - ``` -
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optimum (πŸ₯‡31 Β· ⭐ 1.1K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 +
optimum (πŸ₯‡31 Β· ⭐ 1.2K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 180 Β· πŸ“¦ 150 Β· πŸ“‹ 360 - 44% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 180 Β· πŸ“¦ 160 Β· πŸ“‹ 370 - 43% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 100K / month Β· πŸ“¦ 13 Β· ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 110K / month Β· πŸ“¦ 13 Β· ⏱️ 25.01.2023): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 7.1K Β· ⏱️ 12.07.2022): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 7.3K Β· ⏱️ 12.07.2022): ``` conda install -c conda-forge optimum ```
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Apex (πŸ₯ˆ30 Β· ⭐ 7.2K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 +
Apex (πŸ₯‡30 Β· ⭐ 7.2K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 - [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 13.05.2023): ``` git clone https://github.com/NVIDIA/apex ``` -- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 150K Β· ⏱️ 28.02.2023): +- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 150K Β· ⏱️ 19.05.2023): ``` conda install -c conda-forge nvidia-apex ```
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ArrayFire (πŸ₯ˆ30 Β· ⭐ 4.1K) - ArrayFire: a general purpose GPU library. BSD-3 +
cuDF (πŸ₯‡30 Β· ⭐ 5.5K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 3.9K Β· πŸ“‹ 1.6K - 17% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 680 Β· πŸ“‹ 5.4K - 14% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/arrayfire/arrayfire + git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.1K / month Β· πŸ“¦ 8 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 2.1K / month): ``` - pip install arrayfire + pip install cudf ```
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gpustat (πŸ₯ˆ30 Β· ⭐ 3.4K) - A simple command-line utility for querying and monitoring GPU status. MIT +
gpustat (πŸ₯‡30 Β· ⭐ 3.4K) - A simple command-line utility for querying and monitoring GPU status. MIT - [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 250 Β· πŸ“¦ 3.4K Β· πŸ“‹ 110 - 20% open Β· ⏱️ 17.05.2023): @@ -7624,42 +7416,54 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge gpustat ```
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cuML (πŸ₯ˆ30 Β· ⭐ 3.3K) - cuML - RAPIDS Machine Learning Library. Apache-2 +
PyCUDA (πŸ₯‡30 Β· ⭐ 1.5K) - CUDA integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 460 Β· πŸ“¦ 1 Β· πŸ“‹ 2.2K - 32% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 270 Β· πŸ“¦ 2.1K Β· πŸ“‹ 250 - 31% open Β· ⏱️ 10.01.2023): ``` - git clone https://github.com/rapidsai/cuml + git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 37K / month Β· πŸ“¦ 210 Β· ⏱️ 21.12.2022): ``` - pip install cuml + pip install pycuda + ``` +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 210K Β· ⏱️ 21.12.2022): + ``` + conda install -c conda-forge pycuda ```
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PyCUDA (πŸ₯ˆ30 Β· ⭐ 1.5K) - CUDA integration for Python, plus shiny features. MIT +
ArrayFire (πŸ₯ˆ29 Β· ⭐ 4.1K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 270 Β· πŸ“¦ 2.1K Β· πŸ“‹ 250 - 31% open Β· ⏱️ 10.01.2023): +- [GitHub](https://github.com/arrayfire/arrayfire) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 510 Β· πŸ“₯ 3.9K Β· πŸ“‹ 1.6K - 17% open Β· ⏱️ 23.05.2023): ``` - git clone https://github.com/inducer/pycuda + git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 38K / month Β· πŸ“¦ 210 Β· ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.1K / month): ``` - pip install pycuda + pip install arrayfire + ``` +
+
cuML (πŸ₯ˆ29 Β· ⭐ 3.3K) - cuML - RAPIDS Machine Learning Library. Apache-2 + +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 460 Β· πŸ“¦ 1 Β· πŸ“‹ 2.2K - 32% open Β· ⏱️ 23.05.2023): + ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 200K Β· ⏱️ 21.12.2022): + git clone https://github.com/rapidsai/cuml ``` - conda install -c conda-forge pycuda +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2K / month): + ``` + pip install cuml ```
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cuGraph (πŸ₯ˆ27 Β· ⭐ 1.3K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 +
cuGraph (πŸ₯ˆ26 Β· ⭐ 1.3K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 240 Β· πŸ“¦ 2 Β· πŸ“‹ 1.5K - 21% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 240 Β· πŸ“¦ 2 Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 190 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 190 / month): ``` pip install cugraph ``` @@ -7668,7 +7472,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge libcugraph ```
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CuPy (πŸ₯‰25 Β· ⭐ 6.9K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT +
CuPy (πŸ₯‰25 Β· ⭐ 6.9K) - NumPy & SciPy for GPU. MIT - [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 680): @@ -7683,22 +7487,22 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` conda install -c conda-forge cupy ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 57K Β· ⭐ 11 Β· ⏱️ 30.03.2023): +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 57K Β· ⭐ 11 Β· ⏱️ 25.05.2023): ``` docker pull cupy/cupy ```
DALI (πŸ₯‰25 Β· ⭐ 4.4K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 570 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 570 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/NVIDIA/DALI ```
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Merlin (πŸ₯‰24 Β· ⭐ 520) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +
Merlin (πŸ₯‰24 Β· ⭐ 530) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 75 Β· πŸ“‹ 400 - 43% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 76 Β· πŸ“‹ 410 - 43% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/NVIDIA-Merlin/Merlin @@ -7710,19 +7514,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Vulkan Kompute (πŸ₯‰21 Β· ⭐ 1.1K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 79 Β· πŸ“₯ 340 Β· πŸ“¦ 6 Β· πŸ“‹ 190 - 34% open Β· ⏱️ 03.12.2022): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 79 Β· πŸ“₯ 340 Β· πŸ“¦ 7 Β· πŸ“‹ 190 - 34% open Β· ⏱️ 03.12.2022): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 130 / month Β· ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 120 / month): ``` pip install kp ```
cuSignal (πŸ₯‰19 Β· ⭐ 670) - GPU accelerated signal processing. Apache-2 -- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 120 Β· πŸ“‹ 150 - 14% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/rapidsai/cusignal) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 120 Β· πŸ“‹ 150 - 15% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/rapidsai/cusignal @@ -7731,10 +7535,10 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
Show 7 hidden projects... - scikit-cuda (πŸ₯‰24 Β· ⭐ 940 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 -- GPUtil (πŸ₯‰23 Β· ⭐ 960 Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT +- GPUtil (πŸ₯‰23 Β· ⭐ 970 Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - BlazingSQL (πŸ₯‰21 Β· ⭐ 1.8K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - py3nvml (πŸ₯‰21 Β· ⭐ 220 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 -- nvidia-ml-py3 (πŸ₯‰19 Β· ⭐ 100 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 +- nvidia-ml-py3 (πŸ₯‰18 Β· ⭐ 100 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - SpeedTorch (πŸ₯‰15 Β· ⭐ 660 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT - ipyexperiments (πŸ₯‰15 Β· ⭐ 160 Β· πŸ’€) - jupyter/ipython experiment containers for GPU and.. Apache-2
@@ -7748,12 +7552,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡36 Β· ⭐ 3.9K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.4K Β· πŸ“‹ 1.3K - 49% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.4K Β· πŸ“‹ 1.3K - 49% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.8M / month Β· πŸ“¦ 200 Β· ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 1.5M / month Β· πŸ“¦ 200 Β· ⏱️ 17.01.2023): ``` pip install tensorflow-datasets ``` @@ -7776,12 +7580,12 @@ _Libraries that extend TensorFlow with additional capabilities._
tensorflow-hub (πŸ₯ˆ34 Β· ⭐ 3.3K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.7K Β· πŸ“‹ 670 - 0% open Β· ⏱️ 04.04.2023): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.7K Β· πŸ“‹ 670 - 0% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 1.9M / month Β· πŸ“¦ 330 Β· ⏱️ 14.04.2021): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 1.7M / month Β· πŸ“¦ 330 Β· ⏱️ 14.04.2021): ``` pip install tensorflow-hub ``` @@ -7792,60 +7596,60 @@ _Libraries that extend TensorFlow with additional capabilities._
tensor2tensor (πŸ₯ˆ33 Β· ⭐ 14K) - Library of deep learning models and datasets designed to.. Apache-2 -- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.2K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.3K - 46% open Β· ⏱️ 01.04.2023): +- [GitHub](https://github.com/tensorflow/tensor2tensor) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.3K Β· πŸ“¦ 1.4K Β· πŸ“‹ 1.3K - 46% open Β· ⏱️ 01.04.2023): ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 8.7K / month Β· πŸ“¦ 93 Β· ⏱️ 17.06.2020): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 8.8K / month Β· πŸ“¦ 93 Β· ⏱️ 17.06.2020): ``` pip install tensor2tensor ```
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TF Model Optimization (πŸ₯ˆ32 Β· ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2 +
TFX (πŸ₯ˆ32 Β· ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 310 Β· πŸ“¦ 2.8K Β· πŸ“‹ 340 - 54% open Β· ⏱️ 27.04.2023): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 670 Β· πŸ“‹ 890 - 13% open Β· ⏱️ 23.05.2023): ``` - git clone https://github.com/tensorflow/model-optimization + git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 280K / month Β· πŸ“¦ 30 Β· ⏱️ 21.07.2022): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 140K / month Β· πŸ“¦ 14 Β· ⏱️ 19.12.2022): ``` - pip install tensorflow-model-optimization + pip install tfx ```
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TensorFlow Transform (πŸ₯ˆ32 Β· ⭐ 960) - Input pipeline framework. Apache-2 +
TF Model Optimization (πŸ₯ˆ32 Β· ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 200 Β· πŸ“¦ 1.3K Β· πŸ“‹ 200 - 18% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 310 Β· πŸ“¦ 2.8K Β· πŸ“‹ 340 - 54% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/tensorflow/transform + git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 890K / month Β· πŸ“¦ 56 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 300K / month Β· πŸ“¦ 30 Β· ⏱️ 21.07.2022): ``` - pip install tensorflow-transform + pip install tensorflow-model-optimization ```
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TFX (πŸ₯ˆ30 Β· ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +
TensorFlow Transform (πŸ₯ˆ32 Β· ⭐ 960) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 640 Β· πŸ“‹ 840 - 9% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 200 Β· πŸ“¦ 1.3K Β· πŸ“‹ 200 - 18% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/tensorflow/tfx + git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 150K / month): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 770K / month Β· πŸ“¦ 56 Β· ⏱️ 08.12.2022): ``` - pip install tfx + pip install tensorflow-transform ```
TensorFlow I/O (πŸ₯‰29 Β· ⭐ 640) - Dataset, streaming, and file system extensions.. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 270 Β· πŸ“‹ 600 - 41% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/tensorflow/io) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 270 Β· πŸ“‹ 600 - 41% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 2.4M / month Β· πŸ“¦ 32 Β· ⏱️ 21.01.2023): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 2M / month Β· πŸ“¦ 32 Β· ⏱️ 21.01.2023): ``` pip install tensorflow-io ``` @@ -7857,14 +7661,14 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 19K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/neural-structured-learning) (πŸ“₯ 17K / month Β· πŸ“¦ 3 Β· ⏱️ 29.07.2022): ``` pip install neural-structured-learning ```
TensorFlow Cloud (πŸ₯‰26 Β· ⭐ 350) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 76 Β· πŸ“¦ 250 Β· πŸ“‹ 87 - 68% open Β· ⏱️ 22.12.2022): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 76 Β· πŸ“¦ 260 Β· πŸ“‹ 87 - 68% open Β· ⏱️ 22.12.2022): ``` git clone https://github.com/tensorflow/cloud @@ -7881,19 +7685,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 3.5K / month Β· πŸ“¦ 5 Β· ⏱️ 14.06.2022): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 4.3K / month Β· πŸ“¦ 5 Β· ⏱️ 14.06.2022): ``` pip install saliency ```
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TF Compression (πŸ₯‰22 Β· ⭐ 740) - Data compression in TensorFlow. Apache-2 +
TF Compression (πŸ₯‰22 Β· ⭐ 750) - Data compression in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 230 Β· πŸ“‹ 97 - 6% open Β· ⏱️ 17.04.2023): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 5.4K / month Β· πŸ“¦ 2 Β· ⏱️ 23.11.2022): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 5.1K / month Β· πŸ“¦ 2 Β· ⏱️ 23.11.2022): ``` pip install tensorflow-compression ``` @@ -7903,7 +7707,7 @@ _Libraries that extend TensorFlow with additional capabilities._ - Keras-Preprocessing (πŸ₯‰29 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰27 Β· ⭐ 2K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 - TensorNets (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT -- tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT +- tffm (πŸ₯‰20 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7915,28 +7719,28 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡26 Β· ⭐ 1.1K) - Elegant easy-to-use neural networks in JAX... Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 67 Β· πŸ“¦ 150 Β· πŸ“‹ 180 - 25% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 70 Β· πŸ“¦ 150 Β· πŸ“‹ 170 - 22% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 6.7K / month Β· πŸ“¦ 16 Β· ⏱️ 17.11.2022): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 6.3K / month): ``` pip install equinox ```
evojax (πŸ₯‰19 Β· ⭐ 660) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 54 Β· πŸ“¦ 3 Β· πŸ“‹ 26 - 38% open Β· ⏱️ 20.02.2023): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 54 Β· πŸ“¦ 4 Β· πŸ“‹ 26 - 38% open Β· ⏱️ 20.02.2023): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 580 / month Β· πŸ“¦ 1 Β· ⏱️ 05.10.2022): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 750 / month Β· πŸ“¦ 1 Β· ⏱️ 05.10.2022): ``` pip install evojax ``` -- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 16K Β· ⏱️ 05.10.2022): +- [Conda](https://anaconda.org/conda-forge/evojax) (πŸ“₯ 17K Β· ⏱️ 05.10.2022): ``` conda install -c conda-forge evojax ``` @@ -7955,7 +7759,7 @@ _Libraries that extend scikit-learn with additional capabilities._
MLxtend (πŸ₯‡36 Β· ⭐ 4.4K) - A library of extension and helper modules for Pythons data.. BSD-3 -- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 97 Β· πŸ”€ 810 Β· πŸ“¦ 9.1K Β· πŸ“‹ 460 - 27% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/rasbt/mlxtend) (πŸ‘¨β€πŸ’» 98 Β· πŸ”€ 810 Β· πŸ“¦ 9.3K Β· πŸ“‹ 460 - 27% open Β· ⏱️ 21.05.2023): ``` git clone https://github.com/rasbt/mlxtend @@ -7969,14 +7773,14 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge mlxtend ```
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imbalanced-learn (πŸ₯‡35 Β· ⭐ 6.3K) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
imbalanced-learn (πŸ₯‡35 Β· ⭐ 6.4K) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 1.2K Β· πŸ“¦ 17K Β· πŸ“‹ 550 - 9% open Β· ⏱️ 28.12.2022): +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 1.2K Β· πŸ“¦ 17K Β· πŸ“‹ 540 - 8% open Β· ⏱️ 28.12.2022): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 3.1M / month Β· πŸ“¦ 310 Β· ⏱️ 28.12.2022): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 3.1M / month): ``` pip install imbalanced-learn ``` @@ -7987,12 +7791,12 @@ _Libraries that extend scikit-learn with additional capabilities._
category_encoders (πŸ₯ˆ34 Β· ⭐ 2.2K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 380 Β· πŸ“¦ 5.2K Β· πŸ“‹ 270 - 16% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 370 Β· πŸ“¦ 5.3K Β· πŸ“‹ 270 - 15% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/scikit-learn-contrib/category_encoders ``` -- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.3M / month Β· πŸ“¦ 140 Β· ⏱️ 14.01.2023): +- [PyPi](https://pypi.org/project/category_encoders) (πŸ“₯ 1.3M / month): ``` pip install category_encoders ``` @@ -8001,9 +7805,9 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge category_encoders ```
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scikit-learn-intelex (πŸ₯ˆ33 Β· ⭐ 960) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 +
scikit-learn-intelex (πŸ₯ˆ33 Β· ⭐ 970) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 160 Β· πŸ“¦ 6.1K Β· πŸ“‹ 220 - 34% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 160 Β· πŸ“¦ 6.3K Β· πŸ“‹ 220 - 34% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/intel/scikit-learn-intelex @@ -8017,26 +7821,26 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-learn-intelex ```
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scikit-multilearn (πŸ₯ˆ30 Β· ⭐ 830) - A scikit-learn based module for multi-label et. al... BSD-2 +
scikit-multilearn (πŸ₯ˆ30 Β· ⭐ 840) - A scikit-learn based module for multi-label et. al... BSD-2 -- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 160 Β· πŸ“¦ 1.1K Β· πŸ“‹ 190 - 36% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 160 Β· πŸ“¦ 1.1K Β· πŸ“‹ 210 - 41% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 79K / month): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 86K / month Β· πŸ“¦ 21 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ```
scikit-lego (πŸ₯‰25 Β· ⭐ 1K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 99 Β· πŸ“¦ 91 Β· πŸ“‹ 260 - 9% open Β· ⏱️ 04.03.2023): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 57 Β· πŸ”€ 99 Β· πŸ“¦ 92 Β· πŸ“‹ 260 - 10% open Β· ⏱️ 04.03.2023): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 25K / month Β· πŸ“¦ 7 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 27K / month Β· πŸ“¦ 7 Β· ⏱️ 02.11.2022): ``` pip install scikit-lego ``` @@ -8045,7 +7849,7 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-lego ```
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scikit-opt (πŸ₯‰22 Β· ⭐ 4.1K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯‰23 Β· ⭐ 4.1K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 860 Β· πŸ“¦ 120 Β· πŸ“‹ 160 - 33% open Β· ⏱️ 19.02.2023): @@ -8064,26 +7868,26 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/trent-b/iterative-stratification ``` -- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 51K / month Β· πŸ“¦ 12 Β· ⏱️ 03.10.2021): +- [PyPi](https://pypi.org/project/iterative-stratification) (πŸ“₯ 55K / month Β· πŸ“¦ 12 Β· ⏱️ 03.10.2021): ``` pip install iterative-stratification ```
combo (πŸ₯‰21 Β· ⭐ 620) - (AAAI 20) A Python Toolbox for Machine Learning Model Combination. BSD-2 xgboost -- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 100 Β· πŸ“¦ 540 Β· πŸ“‹ 15 - 80% open Β· ⏱️ 14.01.2023): +- [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 100 Β· πŸ“¦ 550 Β· πŸ“‹ 15 - 80% open Β· ⏱️ 14.01.2023): ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 31K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 32K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): ``` pip install combo ```
DESlib (πŸ₯‰18 Β· ⭐ 440) - A Python library for dynamic classifier and ensemble selection. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 73 Β· πŸ“¦ 38 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 27.02.2023): +- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 73 Β· πŸ“¦ 40 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 27.02.2023): ``` git clone https://github.com/scikit-learn-contrib/DESlib @@ -8095,15 +7899,15 @@ _Libraries that extend scikit-learn with additional capabilities._
Show 9 hidden projects... -- scikit-survival (πŸ₯ˆ29 Β· ⭐ 930) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 +- scikit-survival (πŸ₯ˆ29 Β· ⭐ 940) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (πŸ₯ˆ26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 - sklearn-crfsuite (πŸ₯ˆ26 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT -- skope-rules (πŸ₯‰22 Β· ⭐ 530) - machine learning with logical rules in Python. ❗️BSD-1-Clause -- sklearn-contrib-lightning (πŸ₯‰20 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. ❗Unlicensed +- sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 +- skope-rules (πŸ₯‰22 Β· ⭐ 540) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (πŸ₯‰19 Β· ⭐ 170) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 -- skggm (πŸ₯‰17 Β· ⭐ 220 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT -- scikit-tda (πŸ₯‰16 Β· ⭐ 400 Β· πŸ’€) - Topological Data Analysis for Python. ❗Unlicensed -- dabl (πŸ₯‰16 Β· ⭐ 120) - Data Analysis Baseline Library. BSD-3 +- scikit-tda (πŸ₯‰18 Β· ⭐ 400 Β· πŸ’€) - Topological Data Analysis for Python. MIT +- skggm (πŸ₯‰18 Β· ⭐ 220 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT +- dabl (πŸ₯‰14 Β· ⭐ 120) - Data Analysis Baseline Library. BSD-3

@@ -8113,30 +7917,30 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (πŸ₯‡36 Β· ⭐ 4.5K) - A simple way to train and use PyTorch models with multi-.. Apache-2 +
accelerate (πŸ₯‡36 Β· ⭐ 4.6K) - A simple way to train and use PyTorch models with multi-.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 450 Β· πŸ“¦ 6.3K Β· πŸ“‹ 720 - 14% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 470 Β· πŸ“¦ 6.7K Β· πŸ“‹ 730 - 13% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 3.5M / month Β· πŸ“¦ 150 Β· ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 3.5M / month Β· πŸ“¦ 160 Β· ⏱️ 31.01.2023): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 32K Β· ⏱️ 08.05.2023): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 34K Β· ⏱️ 08.05.2023): ``` conda install -c conda-forge accelerate ```
PML (πŸ₯‡32 Β· ⭐ 5.3K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 620 Β· πŸ“¦ 660 Β· πŸ“‹ 450 - 10% open Β· ⏱️ 03.05.2023): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 600 Β· πŸ“¦ 670 Β· πŸ“‹ 450 - 10% open Β· ⏱️ 03.05.2023): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 180K / month Β· πŸ“¦ 17 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 190K / month): ``` pip install pytorch-metric-learning ``` @@ -8145,9 +7949,9 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c metric-learning pytorch-metric-learning ```
-
tinygrad (πŸ₯‡29 Β· ⭐ 12K) - You like pytorch? You like micrograd? You love tinygrad!. MIT +
tinygrad (πŸ₯‡30 Β· ⭐ 12K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/geohot/tinygrad) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.1K Β· πŸ“¦ 15 Β· πŸ“‹ 220 - 21% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/geohot/tinygrad) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.1K Β· πŸ“¦ 16 Β· πŸ“‹ 220 - 22% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/geohot/tinygrad @@ -8155,7 +7959,7 @@ _Libraries that extend Pytorch with additional capabilities._
torchdiffeq (πŸ₯‡29 Β· ⭐ 4.6K) - Differentiable ODE solvers with full GPU support and.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 820 Β· πŸ“¦ 1.4K Β· πŸ“‹ 200 - 27% open Β· ⏱️ 06.04.2023): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 820 Β· πŸ“¦ 1.4K Β· πŸ“‹ 200 - 27% open Β· ⏱️ 20.05.2023): ``` git clone https://github.com/rtqichen/torchdiffeq @@ -8176,73 +7980,73 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 05.01.2023): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2K / month Β· πŸ“¦ 5 Β· ⏱️ 05.01.2023): ``` pip install lightning-flash ``` -- [Conda](https://anaconda.org/conda-forge/lightning-flash) (πŸ“₯ 12K Β· ⏱️ 08.11.2022): +- [Conda](https://anaconda.org/conda-forge/lightning-flash) (πŸ“₯ 13K Β· ⏱️ 08.11.2022): ``` conda install -c conda-forge lightning-flash ```
-
torch-scatter (πŸ₯ˆ27 Β· ⭐ 1.3K) - PyTorch Extension Library of Optimized Scatter Operations. MIT +
TabNet (πŸ₯ˆ24 Β· ⭐ 2.2K) - PyTorch implementation of TabNet paper :.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 160 Β· πŸ“‹ 320 - 6% open Β· ⏱️ 14.04.2023): +- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 420 Β· πŸ“‹ 290 - 14% open Β· ⏱️ 25.04.2023): ``` - git clone https://github.com/rusty1s/pytorch_scatter + git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 45K / month Β· πŸ“¦ 67 Β· ⏱️ 24.11.2022): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 26K / month Β· πŸ“¦ 10 Β· ⏱️ 19.09.2022): ``` - pip install torch-scatter + pip install pytorch-tabnet ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 180K Β· ⏱️ 07.04.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 4.3K Β· ⏱️ 22.02.2023): ``` - conda install -c conda-forge pytorch_scatter + conda install -c conda-forge pytorch-tabnet ```
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PyTorch Sparse (πŸ₯ˆ25 Β· ⭐ 820) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
Pytorch Toolbelt (πŸ₯ˆ24 Β· ⭐ 1.4K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 140 Β· πŸ“‹ 240 - 12% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 110 Β· πŸ“₯ 15 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 04.05.2023): ``` - git clone https://github.com/rusty1s/pytorch_sparse - ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 27K / month Β· πŸ“¦ 59 Β· ⏱️ 22.12.2022): - ``` - pip install torch-sparse + git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 200K Β· ⏱️ 23.03.2023): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 18K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2022): ``` - conda install -c conda-forge pytorch_sparse + pip install pytorch_toolbelt ```
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TabNet (πŸ₯ˆ24 Β· ⭐ 2.1K) - PyTorch implementation of TabNet paper :.. MIT +
torch-scatter (πŸ₯ˆ24 Β· ⭐ 1.3K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 420 Β· πŸ“‹ 290 - 14% open Β· ⏱️ 25.04.2023): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“‹ 320 - 5% open Β· ⏱️ 14.04.2023): ``` - git clone https://github.com/dreamquark-ai/tabnet + git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 25K / month Β· πŸ“¦ 10 Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 45K / month): ``` - pip install pytorch-tabnet + pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 4.2K Β· ⏱️ 22.02.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 190K Β· ⏱️ 19.05.2023): ``` - conda install -c conda-forge pytorch-tabnet + conda install -c conda-forge pytorch_scatter ```
-
Pytorch Toolbelt (πŸ₯ˆ24 Β· ⭐ 1.4K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT +
PyTorch Sparse (πŸ₯‰22 Β· ⭐ 830) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 110 Β· πŸ“₯ 15 Β· πŸ“‹ 27 - 7% open Β· ⏱️ 04.05.2023): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 140 Β· πŸ“‹ 240 - 9% open Β· ⏱️ 22.05.2023): ``` - git clone https://github.com/BloodAxe/pytorch-toolbelt + git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 18K / month Β· πŸ“¦ 7 Β· ⏱️ 25.12.2022): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 28K / month): ``` - pip install pytorch_toolbelt + pip install torch-sparse + ``` +- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 200K Β· ⏱️ 19.05.2023): + ``` + conda install -c conda-forge pytorch_sparse ```
reformer-pytorch (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - Reformer, the efficient Transformer, in Pytorch. MIT @@ -8252,7 +8056,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 1.7K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 1.7K / month): ``` pip install reformer-pytorch ``` @@ -8264,19 +8068,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/abhishekkrthakur/tez ``` -- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 330 / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/tez) (πŸ“₯ 470 / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2022): ``` pip install tez ```
-
madgrad (πŸ₯‰15 Β· ⭐ 780) - MADGRAD Optimization Method. MIT +
madgrad (πŸ₯‰16 Β· ⭐ 780) - MADGRAD Optimization Method. MIT -- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 53 Β· ⏱️ 11.04.2023): +- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 54 Β· πŸ“‹ 11 - 9% open Β· ⏱️ 11.04.2023): ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 5.1K / month): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 4.7K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -8285,24 +8089,24 @@ _Libraries that extend Pytorch with additional capabilities._ - pretrainedmodels (πŸ₯‡29 Β· ⭐ 8.8K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-optimizer (πŸ₯ˆ28 Β· ⭐ 2.8K Β· πŸ’€) - torch-optimizer -- collection of optimizers for.. Apache-2 -- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.4K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 -- pytorch-summary (πŸ₯ˆ27 Β· ⭐ 3.8K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT - torchsde (πŸ₯ˆ27 Β· ⭐ 1.3K Β· πŸ’€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- SRU (πŸ₯‰23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT -- Torchmeta (πŸ₯‰23 Β· ⭐ 1.8K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT -- Higher (πŸ₯‰23 Β· ⭐ 1.5K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 -- Antialiased CNNs (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 +- pytorch-summary (πŸ₯ˆ25 Β· ⭐ 3.8K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT +- SRU (πŸ₯ˆ23 Β· ⭐ 2.1K Β· πŸ’€) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT +- Torchmeta (πŸ₯ˆ23 Β· ⭐ 1.8K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT +- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.4K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 - EfficientNets (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ’€) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 +- Antialiased CNNs (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 +- Higher (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 +- Poutyne (πŸ₯‰21 Β· ⭐ 540) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - AdaBound (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - Performer Pytorch (πŸ₯‰20 Β· ⭐ 950 Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT -- Poutyne (πŸ₯‰20 Β· ⭐ 540) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 -- micrograd (πŸ₯‰19 Β· ⭐ 4.9K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- micrograd (πŸ₯‰19 Β· ⭐ 5K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - pytorchviz (πŸ₯‰19 Β· ⭐ 2.7K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT - Lambda Networks (πŸ₯‰19 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Torch-Struct (πŸ₯‰18 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (πŸ₯‰17 Β· ⭐ 720 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - Pywick (πŸ₯‰15 Β· ⭐ 390 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT -- TorchDrift (πŸ₯‰12 Β· ⭐ 290 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2 +- TorchDrift (πŸ₯‰14 Β· ⭐ 290 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2

@@ -8322,52 +8126,68 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡49 Β· ⭐ 11K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 4.7K Β· πŸ“₯ 370K Β· πŸ“¦ 730K Β· πŸ“‹ 9.4K - 17% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 4.7K Β· πŸ“₯ 370K Β· πŸ“¦ 740K Β· πŸ“‹ 9.4K - 17% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 56M / month Β· πŸ“¦ 62K Β· ⏱️ 03.01.2023): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 55M / month Β· πŸ“¦ 63K Β· ⏱️ 03.01.2023): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 37M Β· ⏱️ 12.05.2023): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 38M Β· ⏱️ 12.05.2023): ``` conda install -c conda-forge scipy ```
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Streamlit (πŸ₯‡41 Β· ⭐ 25K) - Streamlit A faster way to build and share data apps. Apache-2 +
SymPy (πŸ₯‡46 Β· ⭐ 11K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 750 Β· πŸ“‹ 3.3K - 18% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 4K Β· πŸ“₯ 500K Β· πŸ“¦ 63K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 23.05.2023): ``` - git clone https://github.com/streamlit/streamlit + git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 1.8M / month Β· πŸ“¦ 800 Β· ⏱️ 09.03.2023): +- [PyPi](https://pypi.org/project/sympy) (πŸ“₯ 8M / month Β· πŸ“¦ 4.5K Β· ⏱️ 30.08.2022): ``` - pip install streamlit + pip install sympy + ``` +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 3.5M Β· ⏱️ 15.05.2023): + ``` + conda install -c conda-forge sympy ```
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Gradio (πŸ₯‡39 Β· ⭐ 18K Β· πŸ“‰) - Wrap UIs around any model, share with anyone. Apache-2 +
Gradio (πŸ₯‡42 Β· ⭐ 18K Β· πŸ“ˆ) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.2K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.2K Β· πŸ“¦ 7.3K Β· πŸ“‹ 2.2K - 15% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 3.8M / month Β· πŸ“¦ 96 Β· ⏱️ 20.02.2023): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 3.8M / month Β· πŸ“¦ 99 Β· ⏱️ 20.02.2023): ``` pip install gradio ```
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DeepChem (πŸ₯‡38 Β· ⭐ 4.3K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
Streamlit (πŸ₯‡41 Β· ⭐ 25K) - Streamlit A faster way to build and share data apps. Apache-2 + +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 760 Β· πŸ“‹ 3.3K - 18% open Β· ⏱️ 24.05.2023): + + ``` + git clone https://github.com/streamlit/streamlit + ``` +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 1.9M / month Β· πŸ“¦ 810 Β· ⏱️ 09.03.2023): + ``` + pip install streamlit + ``` +
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DeepChem (πŸ₯‡37 Β· ⭐ 4.3K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.5K Β· πŸ“¦ 200 Β· πŸ“‹ 1.6K - 27% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.4K Β· πŸ“¦ 200 Β· πŸ“‹ 1.6K - 24% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 18K / month Β· πŸ“¦ 8 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 21K / month): ``` pip install deepchem ``` @@ -8378,40 +8198,40 @@ _Libraries for connecting to, operating, and querying databases._
carla (πŸ₯‡35 Β· ⭐ 9.2K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.9K Β· πŸ“¦ 440 Β· πŸ“‹ 4.4K - 21% open Β· ⏱️ 24.01.2023): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.9K Β· πŸ“¦ 460 Β· πŸ“‹ 4.5K - 22% open Β· ⏱️ 24.01.2023): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 19K / month Β· πŸ“¦ 5 Β· ⏱️ 24.12.2022): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 19K / month Β· πŸ“¦ 6 Β· ⏱️ 24.12.2022): ``` pip install carla ```
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PyOD (πŸ₯‡35 Β· ⭐ 7K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
PyOD (πŸ₯‡35 Β· ⭐ 7.1K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.2K Β· πŸ“¦ 2.3K Β· πŸ“‹ 300 - 52% open Β· ⏱️ 20.03.2023): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.2K Β· πŸ“¦ 2.4K Β· πŸ“‹ 300 - 51% open Β· ⏱️ 20.03.2023): ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 510K / month Β· πŸ“¦ 51 Β· ⏱️ 16.12.2022): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 500K / month): ``` pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 67K Β· ⏱️ 20.03.2023): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 68K Β· ⏱️ 20.03.2023): ``` conda install -c conda-forge pyod ```
Autograd (πŸ₯ˆ34 Β· ⭐ 6.3K) - Efficiently computes derivatives of numpy code. MIT -- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 850 Β· πŸ“¦ 5.3K Β· πŸ“‹ 400 - 42% open Β· ⏱️ 01.05.2023): +- [GitHub](https://github.com/HIPS/autograd) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 860 Β· πŸ“¦ 5.4K Β· πŸ“‹ 400 - 42% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.1M / month Β· πŸ“¦ 300 Β· ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.1M / month Β· πŸ“¦ 310 Β· ⏱️ 29.09.2022): ``` pip install autograd ``` @@ -8420,14 +8240,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge autograd ```
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Datasette (πŸ₯ˆ33 Β· ⭐ 7.7K) - An open source multi-tool for exploring and publishing data. Apache-2 +
Datasette (πŸ₯ˆ33 Β· ⭐ 7.8K) - An open source multi-tool for exploring and publishing data. Apache-2 - [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 530 Β· πŸ“₯ 44 Β· πŸ“¦ 990 Β· πŸ“‹ 1.6K - 31% open Β· ⏱️ 09.05.2023): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 37K / month Β· πŸ“¦ 210 Β· ⏱️ 11.01.2023): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 36K / month Β· πŸ“¦ 210 Β· ⏱️ 11.01.2023): ``` pip install datasette ``` @@ -8436,62 +8256,46 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datasette ```
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agate (πŸ₯ˆ33 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT +
Pythran (πŸ₯ˆ33 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 150 Β· πŸ“¦ 1.8K Β· πŸ“‹ 650 - 2% open Β· ⏱️ 12.01.2023): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 190 Β· πŸ“¦ 840 Β· πŸ“‹ 810 - 15% open Β· ⏱️ 21.05.2023): ``` - git clone https://github.com/wireservice/agate + git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3M / month Β· πŸ“¦ 140 Β· ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 290K / month Β· πŸ“¦ 22 Β· ⏱️ 15.01.2023): ``` - pip install agate + pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 130K Β· ⏱️ 05.01.2023): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 360K Β· ⏱️ 08.05.2023): ``` - conda install -c conda-forge agate + conda install -c conda-forge pythran ```
River (πŸ₯ˆ32 Β· ⭐ 4.2K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 470 Β· πŸ“¦ 290 Β· πŸ“‹ 420 - 3% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 460 Β· πŸ“¦ 290 Β· πŸ“‹ 420 - 1% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 11K / month Β· πŸ“¦ 25 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 12K / month): ``` pip install river ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 37K Β· ⏱️ 31.10.2022): +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 38K Β· ⏱️ 31.10.2022): ``` conda install -c conda-forge river ```
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Pythran (πŸ₯ˆ32 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 - -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 190 Β· πŸ“¦ 810 Β· πŸ“‹ 810 - 15% open Β· ⏱️ 12.05.2023): - - ``` - git clone https://github.com/serge-sans-paille/pythran - ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 280K / month Β· πŸ“¦ 20 Β· ⏱️ 15.01.2023): - ``` - pip install pythran - ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 360K Β· ⏱️ 08.05.2023): - ``` - conda install -c conda-forge pythran - ``` -
adapter-transformers (πŸ₯ˆ32 Β· ⭐ 1.6K) - Huggingface Transformers + Adapters =. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 260 Β· πŸ“¦ 160 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 10.05.2023): +- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 260 Β· πŸ“¦ 170 Β· πŸ“‹ 310 - 16% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 20K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 20K / month): ``` pip install adapter-transformers ``` @@ -8503,39 +8307,39 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 6.5K / month Β· πŸ“¦ 6 Β· ⏱️ 28.11.2022): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 6.3K / month): ``` pip install paddlehub ```
hdbscan (πŸ₯ˆ31 Β· ⭐ 2.4K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 440 Β· πŸ“¦ 2.2K Β· πŸ“‹ 480 - 66% open Β· ⏱️ 10.11.2022): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 440 Β· πŸ“¦ 2.3K Β· πŸ“‹ 480 - 66% open Β· ⏱️ 10.11.2022): ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 450K / month Β· πŸ“¦ 190 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 440K / month Β· πŸ“¦ 190 Β· ⏱️ 31.10.2022): ``` pip install hdbscan ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.5M Β· ⏱️ 05.02.2023): +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.6M Β· ⏱️ 05.02.2023): ``` conda install -c conda-forge hdbscan ```
PennyLane (πŸ₯ˆ31 Β· ⭐ 1.8K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 460 Β· πŸ“₯ 66 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 460 Β· πŸ“₯ 66 Β· πŸ“‹ 1K - 28% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 26K / month Β· πŸ“¦ 56 Β· ⏱️ 06.03.2023): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 28K / month Β· πŸ“¦ 56 Β· ⏱️ 06.03.2023): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 12K Β· ⏱️ 17.05.2023): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 13K Β· ⏱️ 19.05.2023): ``` conda install -c conda-forge pennylane ``` @@ -8547,7 +8351,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 18K / month Β· πŸ“¦ 44 Β· ⏱️ 14.01.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 17K / month Β· πŸ“¦ 44 Β· ⏱️ 14.01.2023): ``` pip install tensorly ``` @@ -8563,23 +8367,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 80K / month Β· πŸ“¦ 210 Β· ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 50K / month Β· πŸ“¦ 210 Β· ⏱️ 04.01.2023): ``` pip install pyopencl ``` -- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 860K Β· ⏱️ 09.05.2023): +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 870K Β· ⏱️ 09.05.2023): ``` conda install -c conda-forge pyopencl ```
datalad (πŸ₯ˆ31 Β· ⭐ 420) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 100 Β· πŸ“‹ 3.8K - 12% open Β· ⏱️ 16.05.2023): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 100 Β· πŸ“‹ 3.8K - 12% open Β· ⏱️ 24.05.2023): ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 8.1K / month Β· πŸ“¦ 73 Β· ⏱️ 16.01.2023): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 8.3K / month Β· πŸ“¦ 73 Β· ⏱️ 16.01.2023): ``` pip install datalad ``` @@ -8588,54 +8392,70 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge datalad ```
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agate (πŸ₯ˆ30 Β· ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT + +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 140 Β· πŸ“¦ 1.8K Β· πŸ“‹ 640 - 1% open Β· ⏱️ 12.01.2023): + + ``` + git clone https://github.com/wireservice/agate + ``` +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 2.9M / month): + ``` + pip install agate + ``` +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 130K Β· ⏱️ 05.01.2023): + ``` + conda install -c conda-forge agate + ``` +
alibi-detect (πŸ₯ˆ29 Β· ⭐ 1.8K) - Algorithms for outlier, adversarial and drift detection. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 180 Β· πŸ“¦ 350 Β· πŸ“‹ 330 - 34% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 180 Β· πŸ“¦ 350 Β· πŸ“‹ 330 - 34% open Β· ⏱️ 22.05.2023): ``` git clone https://github.com/SeldonIO/alibi-detect ``` -- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 19K / month Β· πŸ“¦ 7 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/alibi-detect) (πŸ“₯ 18K / month Β· πŸ“¦ 7 Β· ⏱️ 01.06.2022): ``` pip install alibi-detect ```
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avalanche (πŸ₯ˆ29 Β· ⭐ 1.3K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT +
TabPy (πŸ₯ˆ29 Β· ⭐ 1.4K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 68 Β· πŸ”€ 220 Β· πŸ“₯ 4 Β· πŸ“¦ 27 Β· πŸ“‹ 680 - 13% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 550 Β· πŸ“¦ 130 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 23.05.2023): ``` - git clone https://github.com/ContinualAI/avalanche + git clone https://github.com/tableau/TabPy + ``` +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.8K / month Β· ⏱️ 15.12.2022): + pip install tabpy ``` - pip install avalanche-lib +- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 3.8K Β· ⏱️ 02.05.2022): + ``` + conda install -c anaconda tabpy-client ```
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kmodes (πŸ₯ˆ29 Β· ⭐ 1.1K) - Python implementations of the k-modes and k-prototypes clustering.. MIT +
avalanche (πŸ₯ˆ29 Β· ⭐ 1.4K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 390 Β· πŸ“¦ 2K Β· πŸ“‹ 160 - 11% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 220 Β· πŸ“₯ 4 Β· πŸ“¦ 28 Β· πŸ“‹ 670 - 13% open Β· ⏱️ 24.05.2023): ``` - git clone https://github.com/nicodv/kmodes - ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 230K / month Β· πŸ“¦ 31 Β· ⏱️ 06.09.2022): - ``` - pip install kmodes + git clone https://github.com/ContinualAI/avalanche ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 29K Β· ⏱️ 06.09.2022): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 2.1K / month): ``` - conda install -c conda-forge kmodes + pip install avalanche-lib ```
pyjanitor (πŸ₯ˆ29 Β· ⭐ 1.1K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 380 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 14.05.2023): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 380 Β· πŸ“‹ 530 - 19% open Β· ⏱️ 14.05.2023): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 30K / month Β· πŸ“¦ 18 Β· ⏱️ 12.11.2022): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 29K / month): ``` pip install pyjanitor ``` @@ -8646,19 +8466,19 @@ _Libraries for connecting to, operating, and querying databases._
pysc2 (πŸ₯ˆ28 Β· ⭐ 7.8K) - StarCraft II Learning Environment. Apache-2 -- [GitHub](https://github.com/deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 30K Β· πŸ“¦ 530 Β· πŸ“‹ 280 - 17% open Β· ⏱️ 19.04.2023): +- [GitHub](https://github.com/deepmind/pysc2) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 1.2K Β· πŸ“₯ 30K Β· πŸ“¦ 540 Β· πŸ“‹ 280 - 17% open Β· ⏱️ 19.04.2023): ``` git clone https://github.com/deepmind/pysc2 ``` -- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 3K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): +- [PyPi](https://pypi.org/project/pysc2) (πŸ“₯ 2.9K / month Β· πŸ“¦ 26 Β· ⏱️ 13.07.2022): ``` pip install pysc2 ```
anomalib (πŸ₯ˆ28 Β· ⭐ 1.9K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“₯ 350 Β· πŸ“¦ 13 Β· πŸ“‹ 450 - 12% open Β· ⏱️ 17.05.2023): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 360 Β· πŸ“₯ 380 Β· πŸ“¦ 13 Β· πŸ“‹ 450 - 11% open Β· ⏱️ 25.05.2023): ``` git clone https://github.com/openvinotoolkit/anomalib @@ -8668,42 +8488,42 @@ _Libraries for connecting to, operating, and querying databases._ pip install anomalib ```
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TabPy (πŸ₯ˆ28 Β· ⭐ 1.4K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT +
pycm (πŸ₯ˆ28 Β· ⭐ 1.4K) - Multi-class confusion matrix library in Python. MIT -- [GitHub](https://github.com/tableau/TabPy) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 550 Β· πŸ“¦ 120 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 08.05.2023): +- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 220 Β· πŸ“‹ 200 - 8% open Β· ⏱️ 01.05.2023): ``` - git clone https://github.com/tableau/TabPy - ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 12K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): - ``` - pip install tabpy + git clone https://github.com/sepandhaghighi/pycm ``` -- [Conda](https://anaconda.org/anaconda/tabpy-client) (πŸ“₯ 3.8K Β· ⏱️ 02.05.2022): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 36K / month Β· πŸ“¦ 16 Β· ⏱️ 27.04.2022): ``` - conda install -c anaconda tabpy-client + pip install pycm ```
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pycm (πŸ₯ˆ28 Β· ⭐ 1.4K) - Multi-class confusion matrix library in Python. MIT +
kmodes (πŸ₯ˆ28 Β· ⭐ 1.1K) - Python implementations of the k-modes and k-prototypes clustering.. MIT -- [GitHub](https://github.com/sepandhaghighi/pycm) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 220 Β· πŸ“‹ 200 - 8% open Β· ⏱️ 01.05.2023): +- [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 390 Β· πŸ“¦ 2K Β· πŸ“‹ 160 - 11% open Β· ⏱️ 20.04.2023): ``` - git clone https://github.com/sepandhaghighi/pycm + git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 36K / month Β· πŸ“¦ 16 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 230K / month Β· πŸ“¦ 31 Β· ⏱️ 06.09.2022): ``` - pip install pycm + pip install kmodes + ``` +- [Conda](https://anaconda.org/conda-forge/kmodes) (πŸ“₯ 30K Β· ⏱️ 06.09.2022): + ``` + conda install -c conda-forge kmodes ```
Prince (πŸ₯ˆ28 Β· ⭐ 990) - Multivariate exploratory data analysis in Python: PCA, CA, MCA, MFA,.. MIT -- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 350 Β· πŸ“‹ 120 - 0% open Β· ⏱️ 09.05.2023): +- [GitHub](https://github.com/MaxHalford/prince) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 170 Β· πŸ“¦ 360 Β· πŸ“‹ 120 - 0% open Β· ⏱️ 09.05.2023): ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 51K / month Β· πŸ“¦ 9 Β· ⏱️ 06.10.2020): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 50K / month Β· πŸ“¦ 9 Β· ⏱️ 06.10.2020): ``` pip install prince ``` @@ -8719,33 +8539,33 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 40K / month Β· πŸ“¦ 1 Β· ⏱️ 14.03.2022): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 37K / month Β· πŸ“¦ 1 Β· ⏱️ 14.03.2022): ``` pip install causalml ```
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PySwarms (πŸ₯‰27 Β· ⭐ 1.1K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT +
Mars (πŸ₯‰27 Β· ⭐ 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 -- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 320 Β· πŸ“¦ 260 Β· πŸ“‹ 220 - 8% open Β· ⏱️ 03.07.2022): +- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 310 Β· πŸ“‹ 1.2K - 16% open Β· ⏱️ 23.05.2023): ``` - git clone https://github.com/ljvmiranda921/pyswarms + git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 8.4K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 61K / month): ``` - pip install pyswarms + pip install pymars ```
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Mars (πŸ₯‰26 Β· ⭐ 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 +
Trax (πŸ₯‰26 Β· ⭐ 7.5K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/mars-project/mars) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 310 Β· πŸ“‹ 1.2K - 18% open Β· ⏱️ 11.05.2023): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 780 Β· πŸ“¦ 110 Β· πŸ“‹ 230 - 45% open Β· ⏱️ 29.03.2023): ``` - git clone https://github.com/mars-project/mars + git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 59K / month Β· πŸ“¦ 1 Β· ⏱️ 10.01.2023): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 8.4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` - pip install pymars + pip install trax ```
metric-learn (πŸ₯‰26 Β· ⭐ 1.3K Β· πŸ’€) - Metric learning algorithms in Python. MIT @@ -8755,39 +8575,15 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/metric-learn ``` -- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 23K / month Β· πŸ“¦ 12 Β· ⏱️ 02.07.2020): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 21K / month Β· πŸ“¦ 12 Β· ⏱️ 02.07.2020): ``` pip install metric-learn ``` -- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 9.3K Β· ⏱️ 02.07.2020): +- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 9.4K Β· ⏱️ 02.07.2020): ``` conda install -c conda-forge metric-learn ```
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Trax (πŸ₯‰25 Β· ⭐ 7.5K) - Trax Deep Learning with Clear Code and Speed. Apache-2 - -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 770 Β· πŸ“¦ 110 Β· πŸ“‹ 230 - 45% open Β· ⏱️ 29.03.2023): - - ``` - git clone https://github.com/google/trax - ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 8.1K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): - ``` - pip install trax - ``` -
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AugLy (πŸ₯‰25 Β· ⭐ 4.7K) - A data augmentations library for audio, image, text, and video. MIT - -- [GitHub](https://github.com/facebookresearch/AugLy) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 280 Β· πŸ“¦ 63 Β· πŸ“‹ 73 - 26% open Β· ⏱️ 16.05.2023): - - ``` - git clone https://github.com/facebookresearch/AugLy - ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 1.9K / month Β· πŸ“¦ 3 Β· ⏱️ 28.03.2022): - ``` - pip install augly - ``` -
gplearn (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 - [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 240 Β· πŸ“¦ 380 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 04.08.2022): @@ -8795,11 +8591,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 4.7K / month): ``` pip install gplearn ``` -- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 5.1K Β· ⏱️ 04.05.2022): +- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 5.2K Β· ⏱️ 04.05.2022): ``` conda install -c conda-forge gplearn ``` @@ -8820,66 +8616,74 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge feature_engine ```
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dstack (πŸ₯‰24 Β· ⭐ 620) - Develop ML faster. Easily and cost-effectively run dev environments,.. MPL-2.0 +
PySwarms (πŸ₯‰25 Β· ⭐ 1.1K Β· πŸ’€) - A research toolkit for particle swarm optimization in Python. MIT -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 38 Β· πŸ“¦ 11 Β· πŸ“‹ 250 - 13% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 320 Β· πŸ“¦ 260 Β· πŸ“‹ 220 - 9% open Β· ⏱️ 03.07.2022): ``` - git clone https://github.com/dstackai/dstack + git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 780 / month Β· ⏱️ 29.06.2022): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 7.9K / month): ``` - pip install dstack + pip install pyswarms ```
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MONAILabel (πŸ₯‰24 Β· ⭐ 400) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
dstack (πŸ₯‰25 Β· ⭐ 670) - Develop ML faster. Easily and cost-effectively run dev environments,.. MPL-2.0 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 140 Β· πŸ“₯ 53K Β· πŸ“‹ 420 - 12% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 44 Β· πŸ“¦ 11 Β· πŸ“‹ 260 - 13% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/Project-MONAI/MONAILabel + git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 700 / month Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.3K / month): ``` - pip install monailabel-weekly + pip install dstack ```
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AstroML (πŸ₯‰23 Β· ⭐ 900) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 +
pandas-ai (πŸ₯‰24 Β· ⭐ 6.5K Β· 🐣) - Pandas AI is a Python library that integrates generative.. MIT -- [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 280 Β· πŸ“‹ 160 - 39% open Β· ⏱️ 12.12.2022): +- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 400 Β· πŸ“¦ 47 Β· πŸ“‹ 97 - 35% open Β· ⏱️ 25.05.2023): ``` - git clone https://github.com/astroML/astroML + git clone https://github.com/gventuri/pandas-ai ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.5K / month Β· πŸ“¦ 33 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/pandas-ai): ``` - pip install astroML + pip install pandas-ai + ``` +
+
MONAILabel (πŸ₯‰24 Β· ⭐ 400) - MONAI Label is an intelligent open source image labeling and.. Apache-2 + +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 140 Β· πŸ“₯ 54K Β· πŸ“‹ 420 - 13% open Β· ⏱️ 19.05.2023): + ``` -- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 37K Β· ⏱️ 02.03.2022): + git clone https://github.com/Project-MONAI/MONAILabel ``` - conda install -c conda-forge astroml +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 800 / month): + ``` + pip install monailabel-weekly ```
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pandas-ai (πŸ₯‰22 Β· ⭐ 6.1K Β· 🐣) - Pandas AI is a Python library that integrates generative.. MIT +
rrcf (πŸ₯‰23 Β· ⭐ 440) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT -- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 370 Β· πŸ“¦ 34 Β· πŸ“‹ 84 - 40% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 99 Β· πŸ“¦ 47 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 22.05.2023): ``` - git clone https://github.com/gventuri/pandas-ai + git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/pandas-ai): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 11K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): ``` - pip install pandas-ai + pip install rrcf ```
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BioPandas (πŸ₯‰22 Β· ⭐ 600) - Working with molecular structures in pandas DataFrames. BSD-3 +
BioPandas (πŸ₯‰22 Β· ⭐ 610) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 110 Β· πŸ“¦ 170 Β· πŸ“‹ 51 - 39% open Β· ⏱️ 17.04.2023): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 5.6K / month Β· πŸ“¦ 18 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 5.7K / month Β· πŸ“¦ 18 Β· ⏱️ 13.05.2022): ``` pip install biopandas ``` @@ -8888,18 +8692,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge biopandas ```
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rrcf (πŸ₯‰22 Β· ⭐ 440) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT - -- [GitHub](https://github.com/kLabUM/rrcf) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 98 Β· πŸ“¦ 47 Β· πŸ“‹ 46 - 56% open Β· ⏱️ 15.03.2023): - - ``` - git clone https://github.com/kLabUM/rrcf - ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 10K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): - ``` - pip install rrcf - ``` -
StreamAlert (πŸ₯‰21 Β· ⭐ 2.8K Β· πŸ’€) - StreamAlert is a serverless, realtime data analysis.. Apache-2 - [GitHub](https://github.com/airbnb/streamalert) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 320 Β· πŸ“‹ 340 - 24% open Β· ⏱️ 20.07.2022): @@ -8910,16 +8702,32 @@ _Libraries for connecting to, operating, and querying databases._
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.4K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 110 Β· πŸ“¦ 5 Β· πŸ“‹ 35 - 20% open Β· ⏱️ 14.04.2023): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 120 Β· πŸ“¦ 6 Β· πŸ“‹ 36 - 22% open Β· ⏱️ 23.05.2023): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 470 / month Β· ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 500 / month Β· ⏱️ 19.10.2022): ``` pip install pythae ```
+
AstroML (πŸ₯‰20 Β· ⭐ 910) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 + +- [GitHub](https://github.com/astroML/astroML) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 280 Β· πŸ“‹ 150 - 37% open Β· ⏱️ 12.12.2022): + + ``` + git clone https://github.com/astroML/astroML + ``` +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.5K / month): + ``` + pip install astroML + ``` +- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 38K Β· ⏱️ 02.03.2022): + ``` + conda install -c conda-forge astroml + ``` +
SUOD (πŸ₯‰20 Β· ⭐ 350 Β· πŸ’€) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 43 Β· πŸ“¦ 480 Β· πŸ“‹ 10 - 70% open Β· ⏱️ 07.07.2022): @@ -8927,19 +8735,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 19K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 20K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): ``` pip install suod ```
pykale (πŸ₯‰19 Β· ⭐ 380) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT -- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 55 Β· πŸ“‹ 97 - 1% open Β· ⏱️ 18.05.2023): +- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 56 Β· πŸ“‹ 100 - 4% open Β· ⏱️ 19.05.2023): ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 54 / month): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 50 / month Β· ⏱️ 21.08.2022): ``` pip install pykale ``` @@ -8951,19 +8759,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 57 / month Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 49 / month Β· ⏱️ 18.05.2022): ``` pip install KD-Lib ```
NeuralCompression (πŸ₯‰15 Β· ⭐ 330) - A collection of tools for neural compression enthusiasts. MIT -- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 29 Β· πŸ“‹ 77 - 23% open Β· ⏱️ 11.04.2023): +- [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 30 Β· πŸ“‹ 77 - 23% open Β· ⏱️ 11.04.2023): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 99 / month Β· ⏱️ 12.01.2022): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 81 / month Β· ⏱️ 12.01.2022): ``` pip install neuralcompression ``` @@ -8978,24 +8786,24 @@ _Libraries for connecting to, operating, and querying databases._
Show 18 hidden projects... -- SymPy (πŸ₯‡44 Β· ⭐ 11K Β· πŸ“‰) - A computer algebra system written in pure Python. ❗Unlicensed - cleanlab (πŸ₯ˆ30 Β· ⭐ 5.9K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - Cython BLIS (πŸ₯ˆ28 Β· ⭐ 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 +- pyclustering (πŸ₯‰27 Β· ⭐ 1.1K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 - minisom (πŸ₯‰26 Β· ⭐ 1.2K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 -- pyclustering (πŸ₯‰26 Β· ⭐ 1.1K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 -- modAL (πŸ₯‰25 Β· ⭐ 2K Β· πŸ’€) - A modular active learning framework for Python. MIT +- modAL (πŸ₯‰24 Β· ⭐ 2K Β· πŸ’€) - A modular active learning framework for Python. MIT +- AugLy (πŸ₯‰23 Β· ⭐ 4.7K) - A data augmentations library for audio, image, text, and video. ❗Unlicensed - metricflow (πŸ₯‰23 Β· ⭐ 890) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed - mlens (πŸ₯‰23 Β· ⭐ 780 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT - findspark (πŸ₯‰23 Β· ⭐ 480 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 -- opyrator (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT -- vecstack (πŸ₯‰20 Β· ⭐ 670 Β· πŸ’€) - Python package for stacking (machine learning technique). ❗Unlicensed +- opyrator (πŸ₯‰21 Β· ⭐ 2.8K Β· πŸ’€) - Turns your machine learning code into microservices with web API,.. MIT +- vecstack (πŸ₯‰21 Β· ⭐ 670 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - scikit-rebate (πŸ₯‰20 Β· ⭐ 380 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT - impyute (πŸ₯‰20 Β· ⭐ 340 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT - apricot (πŸ₯‰19 Β· ⭐ 470 Β· πŸ’€) - apricot implements submodular optimization for the purpose of.. MIT +- pymdp (πŸ₯‰19 Β· ⭐ 260) - A Python implementation of active inference for Markov Decision Processes. MIT - pandas-ml (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 -- pymdp (πŸ₯‰18 Β· ⭐ 260) - A Python implementation of active inference for Markov Decision Processes. MIT -- baikal (πŸ₯‰17 Β· ⭐ 600 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 -- nylon (πŸ₯‰11 Β· ⭐ 81 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT +- baikal (πŸ₯‰17 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 +- nylon (πŸ₯‰9 Β· ⭐ 81 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
--- diff --git a/history/2023-05-25_changes.md b/history/2023-05-25_changes.md new file mode 100644 index 00000000..00d36faf --- /dev/null +++ b/history/2023-05-25_changes.md @@ -0,0 +1,30 @@ +## πŸ“ˆ Trending Up + +_Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ + +- PyTorch (πŸ₯‡51 Β· ⭐ 67K Β· πŸ“ˆ) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +- Keras (πŸ₯‡46 Β· ⭐ 58K Β· πŸ“ˆ) - Deep Learning for humans. Apache-2 +- pytorch-lightning (πŸ₯ˆ42 Β· ⭐ 23K Β· πŸ“ˆ) - Deep learning framework to train, deploy, and ship AI.. Apache-2 +- Gradio (πŸ₯‡42 Β· ⭐ 18K Β· πŸ“ˆ) - Wrap UIs around any model, share with anyone. Apache-2 +- glfw (πŸ₯‡35 Β· ⭐ 11K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.6K Β· πŸ“ˆ) - Neural Network Libraries. Apache-2 +- Geomstats (πŸ₯‰30 Β· ⭐ 940 Β· πŸ“ˆ) - Computations and statistics on manifolds with geometric structures. MIT +- Snips NLU (πŸ₯‰26 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 +- eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT +- graph-nets (πŸ₯‰21 Β· ⭐ 5.3K Β· πŸ“ˆ) - Build Graph Nets in Tensorflow. Apache-2 + +## πŸ“‰ Trending Down + +_Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ + +- torchvision (πŸ₯‡36 Β· ⭐ 14K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- librosa (πŸ₯‰27 Β· ⭐ 5.9K Β· πŸ“‰) - Python library for audio and music analysis. ISC +- Tesseract (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +- geopy (πŸ₯‰27 Β· ⭐ 4K Β· πŸ“‰) - Geocoding library for Python. MIT +- kaggle (πŸ₯‰23 Β· ⭐ 5.3K Β· πŸ“‰) - Official Kaggle API. Apache-2 +- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.4K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- vega (πŸ₯‰20 Β· ⭐ 350 Β· πŸ“‰) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +- whoosh (πŸ₯‰17 Β· ⭐ 410 Β· πŸ’€) - Pure-Python full-text search library. ❗Unlicensed +- pandas-profiling (πŸ₯‰13 Β· πŸ“‰) - Generate profile report for pandas DataFrame. ❗Unlicensed +- sklearn-evaluation (πŸ₯‰11 Β· 🐣) - Machine learning model evaluation made easy: plots, tables,.. MIT + diff --git a/history/2023-05-25_projects.csv b/history/2023-05-25_projects.csv new file mode 100644 index 00000000..52335ca7 --- /dev/null +++ b/history/2023-05-25_projects.csv @@ -0,0 +1,910 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,brew_id,apt_id,yum_id,updated_github_id,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2023-05-23 14:57:21.000000,2023-05-23 14:57:21,1450.0,118.0,528.0,105.0,276.0,35.0,110.0,3645.0,Benchmarks of approximate nearest neighbor libraries in Python.,87.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2023-05-18 17:59:18.000000,2023-05-18 17:59:16,231.0,25.0,145.0,53.0,141.0,1.0,2.0,1902.0,Collection of web-scraping and crawling libraries.,10.0,0,True,2023-05-18 17:59:25.000,2023.05.18,90.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-05-25 13:33:32.000000,2023-05-18 16:03:31,247.0,25.0,209.0,85.0,143.0,4.0,4.0,2986.0,Collection of data-loading and -extraction libraries.,10.0,0,True,2023-05-18 16:03:46.000,2023.05.18,91.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-05-25 13:33:32.000000,2023-05-18 16:03:31,247.0,25.0,209.0,85.0,143.0,4.0,4.0,2986.0,Collection of database clients for python.,10.0,0,True,2023-05-18 16:03:46.000,2023.05.18,91.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-05-25 13:33:32.000000,2023-05-18 16:03:31,247.0,25.0,209.0,85.0,143.0,4.0,4.0,2986.0,"Collection of data-container, dataframe, and pandas-utility libraries.",10.0,0,True,2023-05-18 16:03:46.000,2023.05.18,91.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-05-25 13:33:32.000000,2023-05-18 16:03:31,247.0,25.0,209.0,85.0,143.0,4.0,4.0,2986.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",10.0,0,True,2023-05-18 16:03:46.000,2023.05.18,91.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-05-25 14:02:04.000000,2023-05-25 14:01:57,148425.0,4507.0,88385.0,7716.0,22992.0,2164.0,35316.0,177060.0,An Open Source Machine Learning Framework for Everyone.,4358.0,55,True,2023-03-23 15:50:02.000,2.12.0,176.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],293327.0,278342.0,https://pypi.org/project/tensorflow,2023-03-22 23:10:35.879,14985.0,15506370.0,17354654.0,https://anaconda.org/conda-forge/tensorflow,2023-03-27 12:39:49.535,4151497.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-05-25 12:47:21.965017,2154.0,72936953.0,1.0,,,,,,,,,,,,,,,,,,, +7,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2023-05-25 14:13:02.000000,2023-05-25 08:26:50,29987.0,377.0,24295.0,2154.0,15493.0,2183.0,8564.0,54347.0,scikit-learn: machine learning in Python.,2923.0,52,True,2023-03-09 10:08:59.000,1.2.2,69.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],558530.0,530036.0,https://pypi.org/project/scikit-learn,2023-01-24 16:44:32.680,28494.0,35632517.0,35893328.0,https://anaconda.org/conda-forge/scikit-learn,2023-03-24 18:32:25.095,21907288.0,,,,,1.0,868.0,,,,,,,,,,,,,,,,,, +8,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-05-25 14:13:03.000000,2023-05-25 12:33:50,60545.0,3468.0,18402.0,1653.0,68078.0,11928.0,22865.0,67162.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4078.0,51,True,2023-05-08 19:55:19.000,2.0.1,45.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],9784.0,,https://pypi.org/project/torch,2022-12-15 20:09:57.027,9784.0,9964430.0,10774188.0,https://anaconda.org/pytorch/pytorch,2023-05-05 17:30:27.921,16191129.0,,,,,1.0,16235.0,6.0,,,,,,,,,,,,,,,,, +9,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2023-05-25 14:17:46.000000,2023-05-25 02:57:42,47207.0,709.0,6905.0,588.0,16453.0,1698.0,8158.0,17434.0,matplotlib: plotting with Python.,1511.0,50,True,2023-03-04 07:29:28.961,3.7.1,101.0,matplotlib,conda-forge/matplotlib,,,,903716.0,843476.0,https://pypi.org/project/matplotlib,2023-01-25 21:23:43.941,60240.0,33131861.0,33333383.0,https://anaconda.org/conda-forge/matplotlib,2023-03-06 21:33:49.039,18540084.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +10,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-05-25 14:10:23.000000,2023-05-25 14:06:14,12981.0,848.0,19729.0,1015.0,11802.0,547.0,11142.0,101563.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",1929.0,49,True,2023-05-16 19:47:56.000,4.29.2,100.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",72968.0,72968.0,https://pypi.org/project/transformers,,,13424750.0,13450860.0,https://anaconda.org/conda-forge/transformers,2023-05-17 02:53:51.924,1122627.0,,,,,1.0,140.0,,,,,,,,,,,,,,,,,, +11,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-05-25 13:38:38.000000,2023-05-25 11:56:57,30186.0,545.0,4696.0,347.0,9452.0,1675.0,7699.0,11273.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1463.0,49,True,2023-02-19 21:46:42.000,1.10.1,89.0,scipy,conda-forge/scipy,,,,801652.0,739026.0,https://pypi.org/project/scipy,2023-01-03 22:36:58.305,62626.0,55302514.0,55754678.0,https://anaconda.org/conda-forge/scipy,2023-05-12 19:18:42.399,37649112.0,,,,,1.0,372356.0,,,,,,,,,,,,,,,,,, +12,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-05-24 12:48:13.000000,2023-05-24 12:47:43,14854.0,402.0,2029.0,219.0,4266.0,112.0,2714.0,10846.0,Python Imaging Library (Fork).,437.0,47,True,2023-04-01 09:33:34.000,9.5.0,92.0,Pillow,conda-forge/pillow,,,,1248488.0,1182873.0,https://pypi.org/project/Pillow,2023-01-02 21:32:51.909,65615.0,55698431.0,56032114.0,https://anaconda.org/conda-forge/pillow,2023-05-21 08:34:35.799,28363110.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +13,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-05-24 23:46:07.000000,2023-05-24 00:32:23,8199.0,385.0,19344.0,1915.0,6391.0,390.0,11430.0,58419.0,Deep Learning for humans.,1182.0,46,True,2023-05-01 21:51:04.013,2.13.0,78.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],586.0,,https://pypi.org/project/keras,2023-02-23 18:53:01.699,586.0,10101806.0,10139446.0,https://anaconda.org/conda-forge/keras,2023-03-25 02:52:58.755,3048851.0,,,,,1.0,,4.0,,,,,,,,,,,,,,,,, +14,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-05-25 14:31:52.000000,2023-05-23 23:20:41,54249.0,733.0,3961.0,289.0,12380.0,4729.0,8390.0,10700.0,A computer algebra system written in pure Python.,1224.0,46,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,67815.0,63278.0,https://pypi.org/project/sympy,2022-08-30 17:34:08.040,4537.0,7961022.0,8006471.0,https://anaconda.org/conda-forge/sympy,2023-05-15 20:27:39.985,3461004.0,,,,,1.0,501226.0,,,,,,,,,,,,,,,,,, +15,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-05-21 15:09:00.000000,2023-05-17 23:23:50,15053.0,118.0,2522.0,275.0,3775.0,2446.0,2670.0,8510.0,Statsmodels: statistical modeling and econometrics in Python.,412.0,45,True,2023-05-05 10:52:12.000,0.14.0,25.0,statsmodels,conda-forge/statsmodels,,,,93470.0,93470.0,https://pypi.org/project/statsmodels,,,10192192.0,10311235.0,https://anaconda.org/conda-forge/statsmodels,2023-05-05 17:18:31.041,9880622.0,,,,,1.0,27.0,,,,,,,,,,,,,,,,,, +16,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-05-25 09:30:15.000000,2023-05-23 11:28:48,15920.0,92.0,4127.0,553.0,3749.0,105.0,5340.0,26208.0,Industrial-strength Natural Language Processing (NLP) in Python.,725.0,44,True,2023-05-25 11:16:21.000,3.2.6,216.0,spacy,conda-forge/spacy,,,,63574.0,60846.0,https://pypi.org/project/spacy,2023-01-20 09:51:09.566,2728.0,5176746.0,5217505.0,https://anaconda.org/conda-forge/spacy,2023-05-16 12:39:45.588,3056959.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +17,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-05-25 14:19:44.000000,2023-05-25 07:46:05,17469.0,1316.0,4452.0,444.0,21527.0,2821.0,11356.0,25733.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,864.0,44,True,2023-04-25 17:27:57.000,ray-2.4.0,83.0,ray,conda-forge/ray-tune,,,,10216.0,9722.0,https://pypi.org/project/ray,2023-02-24 06:15:04.778,494.0,2154837.0,2159282.0,https://anaconda.org/conda-forge/ray-tune,2023-05-07 11:02:29.508,128894.0,,,,,1.0,81.0,,,,,,,,,,,,,,,,,, +18,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-05-25 13:02:12.000000,2023-05-24 01:09:25,6358.0,147.0,8568.0,916.0,4374.0,364.0,4490.0,24176.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",605.0,44,True,2023-03-30 19:47:07.654,1.7.5,73.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,58366.0,56782.0,https://pypi.org/project/xgboost,2023-01-06 19:21:10.487,1584.0,8797142.0,8849946.0,https://anaconda.org/conda-forge/xgboost,2023-03-17 07:46:42.740,3903186.0,,,,,1.0,6586.0,,,,,,,,,,,,,,,,,, +19,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-05-25 13:48:32.000000,2023-05-25 13:23:23,16183.0,1202.0,2096.0,311.0,9986.0,1141.0,3065.0,23297.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",540.0,44,True,2023-05-12 01:13:18.000,jax-v0.4.10,71.0,jax,conda-forge/jaxlib,,,,12424.0,12424.0,https://pypi.org/project/jax,,,4315217.0,4331504.0,https://anaconda.org/conda-forge/jaxlib,2023-05-12 16:14:11.017,749207.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +20,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-05-25 13:30:11.000000,2023-05-25 12:23:04,4056.0,305.0,3379.0,289.0,5462.0,1109.0,1968.0,14426.0,Open source platform for the machine learning lifecycle.,582.0,44,True,2023-05-13 01:03:53.000,2.3.2,68.0,mlflow,conda-forge/mlflow,,,,19602.0,19602.0,https://pypi.org/project/mlflow,,,10374436.0,10401096.0,https://anaconda.org/conda-forge/mlflow,2023-05-18 17:43:16.977,1306346.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +21,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-05-19 20:06:57.000000,2023-05-16 03:49:31,3271.0,77.0,3603.0,443.0,2898.0,260.0,2725.0,14991.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",282.0,43,True,2023-01-24 03:15:36.000,3.3.5,27.0,lightgbm,conda-forge/lightgbm,,,,21948.0,21948.0,https://pypi.org/project/lightgbm,,,6075729.0,6103115.0,https://anaconda.org/conda-forge/lightgbm,2023-01-24 13:04:34.282,1734734.0,,,,,2.0,190218.0,,,,,,,,,,,,,,,,,, +22,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-05-25 00:13:13.000000,2023-05-24 19:52:18,7769.0,186.0,1621.0,212.0,5334.0,923.0,3987.0,11048.0,Parallel computing with task scheduling.,581.0,43,True,2023-05-12 15:55:45.454,2023.5.0,170.0,dask,conda-forge/dask,,,,52378.0,49242.0,https://pypi.org/project/dask,2023-03-01 21:19:05.337,3136.0,7350434.0,7456688.0,https://anaconda.org/conda-forge/dask,2023-05-12 17:29:33.599,8925387.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,, +23,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-05-21 18:27:43.000000,2023-05-21 17:13:59,3147.0,28.0,1712.0,256.0,1002.0,119.0,2197.0,10741.0,Statistical data visualization in Python.,197.0,43,True,2023-01-02 17:36:07.692,0.12.2,33.0,seaborn,conda-forge/seaborn,,,,272502.0,261926.0,https://pypi.org/project/seaborn,2023-01-02 17:36:07.692,10576.0,8919711.0,9002226.0,https://anaconda.org/conda-forge/seaborn,2022-12-31 14:43:52.040,6683617.0,,,,,1.0,245.0,,,,,,,,,,,,,,,,,, +24,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-05-24 23:19:02.000000,2023-05-24 22:37:18,5507.0,139.0,1590.0,191.0,4616.0,637.0,1189.0,6247.0,TensorFlows Visualization Toolkit.,299.0,43,True,2023-05-04 23:06:01.343,2.13.0,52.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],171293.0,168601.0,https://pypi.org/project/tensorboard,2023-01-13 22:24:05.115,2692.0,18903711.0,18964028.0,https://anaconda.org/conda-forge/tensorboard,2023-05-05 12:08:20.046,3980970.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +25,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/lightning,https://github.com/Lightning-AI/lightning,Apache-2.0,2019-03-31 00:45:57.000,2023-05-25 01:10:34.000000,2023-05-24 23:16:41,9271.0,426.0,2887.0,235.0,8918.0,642.0,5522.0,23320.0,"Deep learning framework to train, deploy, and ship AI products Lightning fast.",872.0,42,True,2023-04-24 14:51:08.481,2.0.2,249.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],634.0,,https://pypi.org/project/pytorch-lightning,2023-01-18 02:35:00.780,634.0,4285548.0,4309108.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-04-24 18:49:45.463,810332.0,,,,,2.0,11856.0,4.0,,,,,,,,,,,,,,,,, +26,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-05-25 14:13:42.000000,2023-05-25 11:32:03,41915.0,1806.0,5000.0,728.0,37258.0,992.0,15699.0,20287.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1034.0,42,True,2023-05-08 08:33:39.000,2.4.2,59.0,paddlepaddle,,,,['paddle'],251.0,251.0,https://pypi.org/project/paddlepaddle,,,115664.0,115853.0,,,,,,,,2.0,15350.0,,,,,,,,,,,,,,,,,, +27,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-05-25 12:01:40.000000,2023-05-22 03:01:15,5138.0,326.0,1182.0,122.0,1817.0,327.0,1834.0,17927.0,"Wrap UIs around any model, share with anyone.",158.0,42,True,2023-05-21 06:59:01.603,3.32.0,468.0,gradio,,,,,7358.0,7259.0,https://pypi.org/project/gradio,2023-02-20 00:20:01.258,99.0,3784421.0,3784421.0,,,,,,,,1.0,,3.0,,,,,,,,,,,,,,,,, +28,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-05-24 20:19:57.000000,2023-05-24 10:31:18,20111.0,136.0,4006.0,448.0,5708.0,688.0,6594.0,17600.0,"Interactive Data Visualization in the browser, from Python.",659.0,42,True,,,50.0,bokeh,conda-forge/bokeh,,,,69300.0,69300.0,https://pypi.org/project/bokeh,,,3388305.0,3542501.0,https://anaconda.org/conda-forge/bokeh,2023-05-10 15:00:00.656,11256342.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +29,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2023-05-24 14:19:07.000000,2023-05-19 13:46:56,5904.0,115.0,2334.0,278.0,1500.0,1342.0,1322.0,13499.0,The interactive graphing library for Python This project now includes Plotly Express!.,226.0,42,True,2023-04-05 18:48:14.000,5.14.1,289.0,plotly,conda-forge/plotly,,,,4912.0,,https://pypi.org/project/plotly,2023-01-23 19:05:16.751,4906.0,7944451.0,8026002.0,https://anaconda.org/conda-forge/plotly,2023-04-05 21:57:15.625,4234090.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,6.0,29279.0,,,,,,,,,,, +30,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,,2010-09-06 00:53:44.000,2023-05-24 22:57:57.000000,2023-05-24 17:32:16,7297.0,102.0,2820.0,281.0,3293.0,178.0,2798.0,12687.0,Network Analysis in Python.,652.0,42,False,2023-04-04 20:05:38.000,networkx-3.1,52.0,networkx,conda-forge/networkx,,,,159799.0,159799.0,https://pypi.org/project/networkx,,,25531583.0,25677820.0,https://anaconda.org/conda-forge/networkx,2023-04-05 11:11:39.426,11552741.0,,,,,1.0,64.0,,,,,,,,,,,,,,,,,, +31,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-05-25 12:17:56.000000,2023-05-23 13:36:22,4446.0,93.0,1903.0,1711.0,4256.0,192.0,2477.0,10895.0,WebGL2 powered visualization framework.,225.0,42,True,2023-05-22 19:59:59.000,8.9.16,100.0,pydeck,conda-forge/pydeck,,,['jupyter'],5952.0,5952.0,https://pypi.org/project/pydeck,,,1479558.0,1908994.0,https://anaconda.org/conda-forge/pydeck,2022-11-04 19:21:00.914,368678.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,,,419983.0,,,,,,,,,,, +32,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-05-23 17:11:21.000000,2023-05-23 14:25:25,3499.0,95.0,732.0,149.0,1203.0,218.0,1594.0,8276.0,Declarative statistical visualization library for Python.,155.0,42,True,2023-05-09 15:04:23.000,5.0.0,34.0,altair,conda-forge/altair,,,,57699.0,57134.0,https://pypi.org/project/altair,2023-03-01 22:49:04.725,565.0,12261371.0,12283218.0,https://anaconda.org/conda-forge/altair,2023-05-09 19:10:00.456,1791489.0,,,,,1.0,43.0,,,,,,,,,,,,,,,,,, +33,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2023-05-24 22:38:06.000000,2023-05-24 22:03:21,13550.0,110.0,2062.0,187.0,4119.0,480.0,1967.0,5409.0,Image processing in Python.,617.0,42,False,2023-02-28 23:32:35.000,0.20.0,21.0,scikit-image,conda-forge/scikit-image,,,,141641.0,141641.0,https://pypi.org/project/scikit-image,,,7163226.0,7223623.0,https://anaconda.org/conda-forge/scikit-image,2023-04-12 19:50:08.062,5073407.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +34,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-05-25 07:00:36.000000,2023-05-24 00:33:23,5528.0,224.0,2187.0,288.0,3358.0,611.0,2695.0,24879.0,Streamlit A faster way to build and share data apps.,180.0,41,True,2023-04-27 18:43:04.434,1.22.0,199.0,streamlit,,,,,1571.0,758.0,https://pypi.org/project/streamlit,2023-03-09 21:00:47.459,813.0,1859010.0,1859010.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +35,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-05-25 14:14:28.000000,2023-05-24 14:22:38,6820.0,203.0,1891.0,407.0,941.0,739.0,802.0,18734.0,Data Apps & Dashboards for Python. No JavaScript Required.,136.0,41,True,2023-04-13 17:42:40.000,2.9.3,163.0,dash,conda-forge/dash,,,,48191.0,46826.0,https://pypi.org/project/dash,2023-01-30 17:00:04.941,1365.0,1516811.0,1532818.0,https://anaconda.org/conda-forge/dash,2023-05-23 04:47:30.947,960465.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +36,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2023-05-25 14:05:38.000000,2023-05-24 10:46:50,31892.0,593.0,4202.0,348.0,5771.0,1.0,6642.0,16374.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",581.0,41,True,2023-05-24 07:43:27.000,3.5.10,100.0,rasa,,,,['tensorflow'],3362.0,3362.0,https://pypi.org/project/rasa,,,130477.0,130477.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +37,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-05-24 20:49:41.000000,2023-05-22 16:53:13,2364.0,147.0,3520.0,431.0,2756.0,378.0,2031.0,14762.0,Open standard for machine learning interoperability.,280.0,41,True,2023-05-05 16:35:02.000,1.14.0,29.0,onnx,conda-forge/onnx,,,,15927.0,15395.0,https://pypi.org/project/onnx,2022-12-12 13:26:02.139,532.0,3019164.0,3030509.0,https://anaconda.org/conda-forge/onnx,2023-05-15 20:27:33.538,730230.0,,,,,1.0,18858.0,,,,,,,,,,,,,,,,,, +38,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-05-24 14:19:23.000000,2023-05-21 12:26:11,4468.0,40.0,4345.0,432.0,1669.0,396.0,1435.0,14351.0,Topic Modelling for Humans.,446.0,41,True,2023-03-10 06:20:03.685,4.3.1,92.0,gensim,conda-forge/gensim,,,,49157.0,46075.0,https://pypi.org/project/gensim,2022-12-21 00:21:03.066,3082.0,3893187.0,3908837.0,https://anaconda.org/conda-forge/gensim,2023-03-28 02:35:38.702,1060958.0,,,,,1.0,4366.0,,,,,,,,,,,,,,,,,, +39,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2023-05-24 11:46:31.000000,2023-05-24 11:46:30,8199.0,50.0,2757.0,474.0,652.0,33.0,2091.0,11977.0,A toolkit for making real world machine learning and data analysis applications in C++.,186.0,41,False,2023-05-14 13:10:44.000,19.24.2,26.0,dlib,conda-forge/dlib,,,,20026.0,20026.0,https://pypi.org/project/dlib,,,169301.0,176775.0,https://anaconda.org/conda-forge/dlib,2023-03-24 02:36:47.638,576798.0,,,,,2.0,25249.0,,,,,,,,,,,,,,,,,, +40,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2023-05-25 04:06:24.000000,2023-05-17 22:15:20,14442.0,5.0,2611.0,468.0,1419.0,229.0,1480.0,11972.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,440.0,41,True,,,17.0,nltk,conda-forge/nltk,,,,196217.0,196217.0,https://pypi.org/project/nltk,,,10271624.0,10296084.0,https://anaconda.org/conda-forge/nltk,2023-01-02 21:54:06.351,1981264.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +41,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-05-25 14:06:14.000000,2023-05-25 10:52:25,8741.0,263.0,1062.0,135.0,4910.0,567.0,3736.0,11555.0,Data Version Control | Git for Data & Models | ML Experiments Management.,283.0,41,True,2023-05-23 07:20:01.904,2.58.1,432.0,dvc,conda-forge/dvc,,,,7599.0,7504.0,https://pypi.org/project/dvc,2023-03-06 21:00:01.192,95.0,713367.0,752355.0,https://anaconda.org/conda-forge/dvc,2023-05-23 09:10:00.069,1545308.0,,,,,1.0,107907.0,,,,,,,,dvc,dvc,dvc,,,,,,,, +42,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-05-18 13:34:55.000000,2023-01-30 18:15:21,1757.0,,8421.0,1035.0,1441.0,52.0,1711.0,31835.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,40,True,2022-10-04 23:58:42.348,0.26.2,107.0,gym,conda-forge/gym,,,,44863.0,42188.0,https://pypi.org/project/gym,2022-10-04 23:58:42.348,2675.0,509827.0,515901.0,https://anaconda.org/conda-forge/gym,2023-01-26 10:09:31.076,224751.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +43,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-05-24 09:27:40.000000,2023-05-06 13:54:43,1752.0,51.0,785.0,107.0,1377.0,337.0,1112.0,3690.0,Python tools for geographic data.,199.0,40,True,2023-05-06 12:23:05.000,0.13.0,29.0,geopandas,conda-forge/geopandas,,,['pandas'],22438.0,22438.0,https://pypi.org/project/geopandas,,,4546424.0,4579460.0,https://anaconda.org/conda-forge/geopandas,2023-05-06 14:44:04.133,2839130.0,,,,,1.0,1918.0,,,,,,,,,,,,,,,,,, +44,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-05-25 14:25:07.000000,2023-05-25 12:50:33,5310.0,132.0,688.0,58.0,4484.0,1389.0,2166.0,1466.0,A distributed task scheduler for Dask.,310.0,40,True,2023-05-12 15:55:44.393,2023.5.0,202.0,distributed,conda-forge/distributed,,,,30124.0,28853.0,https://pypi.org/project/distributed,2023-01-27 23:28:03.605,1271.0,4787171.0,4914746.0,https://anaconda.org/conda-forge/distributed,2023-05-12 17:03:02.764,10716379.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +45,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-05-23 14:45:44.000000,2023-03-28 21:27:25,2659.0,22.0,7186.0,613.0,2178.0,145.0,1574.0,23929.0,The fastai deep learning library.,236.0,39,True,2023-03-28 20:28:42.000,2.7.12,49.0,fastai,,,,['pytorch'],13535.0,13535.0,https://pypi.org/project/fastai,,,286693.0,286693.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +46,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-05-25 13:53:36.000000,2023-05-25 13:35:27,17154.0,584.0,2175.0,321.0,15405.0,560.0,7350.0,18918.0,"A cloud-native vector database, storage for next generation AI applications.",243.0,39,True,2023-05-02 12:50:11.000,2.2.8,100.0,pymilvus,,milvusdb/milvus,,,24.0,,https://pypi.org/project/pymilvus,2022-12-15 08:27:00.978,24.0,558408.0,642671.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-05-25 13:42:28.070174,28.0,3581157.0,1.0,28740.0,,,,,,,,,,,,,,,,,, +47,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-05-25 13:56:26.000000,2023-05-23 23:03:37,8327.0,111.0,2069.0,198.0,3985.0,40.0,1831.0,18413.0,Build multimodal AI services via cloud native technologies.,169.0,39,True,2023-05-23 15:01:26.000,3.16.1,2389.0,jina,conda-forge/jina-core,jinaai/jina,,,576.0,565.0,https://pypi.org/project/jina,2022-07-06 04:21:41.000,11.0,333170.0,367398.0,https://anaconda.org/conda-forge/jina-core,2022-08-16 02:48:28.481,45679.0,https://hub.docker.com/r/jinaai/jina,2023-05-23 15:13:07.533031,8.0,1245860.0,2.0,,,,,,,,,,,,,,,,,,, +48,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2023-05-25 06:45:48.000000,2023-05-25 04:44:19,15909.0,702.0,822.0,123.0,3097.0,117.0,1306.0,8127.0,A hyperparameter optimization framework.,229.0,39,False,2023-04-06 07:39:03.000,3.1.1,58.0,optuna,conda-forge/optuna,,,,7902.0,7902.0,https://pypi.org/project/optuna,,,1544932.0,1555418.0,https://anaconda.org/conda-forge/optuna,2023-04-10 08:33:36.791,440429.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +49,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-05-25 14:30:08.000000,2023-05-24 08:44:44,9518.0,123.0,1789.0,227.0,3594.0,184.0,2865.0,7580.0,Bayesian Modeling in Python.,455.0,39,True,2023-05-23 08:46:22.000,5.4.0,60.0,pymc3,conda-forge/pymc3,,,,1789.0,1540.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,249.0,361983.0,368507.0,https://anaconda.org/conda-forge/pymc3,2022-05-20 12:40:09.903,514024.0,,,,,1.0,1910.0,,,,,,,,,,,,,,,,,, +50,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-05-24 14:39:07.000000,2023-05-24 13:16:11,1672.0,24.0,2154.0,167.0,758.0,47.0,957.0,6249.0,Python Data. Leaflet.js Maps.,151.0,39,True,2022-12-12 20:36:08.000,0.14.0,24.0,folium,conda-forge/folium,,,,25288.0,25288.0,https://pypi.org/project/folium,,,748174.0,771379.0,https://anaconda.org/conda-forge/folium,2022-12-13 18:33:58.037,1995655.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +51,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-05-25 13:53:55.000000,2023-05-25 08:03:15,5352.0,242.0,473.0,48.0,3101.0,613.0,1892.0,6097.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,147.0,39,True,2023-05-17 23:02:07.000,0.15.3,100.0,wandb,conda-forge/wandb,,,,23279.0,23279.0,https://pypi.org/project/wandb,,,2313441.0,2320520.0,https://anaconda.org/conda-forge/wandb,2023-05-18 01:38:04.735,240717.0,,,,,1.0,,,,,,,,,,,,wandb/wandb,,,,,,, +52,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2023-05-25 13:00:52.000000,2023-05-24 00:58:03,3086.0,193.0,977.0,130.0,2484.0,451.0,796.0,1842.0,A library for training and deploying machine learning models on Amazon SageMaker.,364.0,39,True,2023-05-23 21:23:00.717,2.159.0,510.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",2682.0,2606.0,https://pypi.org/project/sagemaker,2023-01-31 01:06:02.086,76.0,25893915.0,25908180.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2022-11-03 16:48:39.476,599147.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +53,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-05-25 14:05:39.000000,2023-05-25 12:34:25,36818.0,878.0,25844.0,2047.0,41285.0,,,35815.0,Apache Spark Python API.,2876.0,38,True,,,31.0,pyspark,conda-forge/pyspark,,,['spark'],,,https://pypi.org/project/pyspark,,,24371968.0,24406539.0,https://anaconda.org/conda-forge/pyspark,2023-04-16 06:33:25.403,2558266.0,,,,,2.0,,,stable/spark,,,,,,,,,,,,,,,, +54,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-05-25 02:09:13.000000,2023-05-24 18:17:46,2299.0,15.0,5702.0,401.0,1269.0,1009.0,2977.0,25288.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,416.0,38,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],1576.0,1522.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,54.0,508416.0,509387.0,https://anaconda.org/conda-forge/fairseq,2023-05-12 10:37:16.727,32863.0,,,,,1.0,311.0,,,,,,,,,,,,,,,,,, +55,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2023-05-25 06:32:26.000000,2023-05-24 23:27:32,1538.0,185.0,2977.0,277.0,1786.0,863.0,923.0,25004.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",194.0,38,True,2023-05-03 17:33:56.000,0.9.2,64.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],1517.0,1476.0,https://pypi.org/project/deepspeed,2023-01-17 18:45:01.408,41.0,310677.0,311089.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,3.0,16485.0,1.0,,,,,,,,,,,,,,,,,,, +56,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-05-25 12:48:36.868000,2023-05-24 14:56:38,822.0,68.0,2937.0,448.0,730.0,314.0,1766.0,21954.0,A library for efficient similarity search and clustering of dense vectors.,130.0,38,True,2023-04-28 13:29:01.044,2.2.8,75.0,pymilvus,conda-forge/faiss,,,,1116.0,1092.0,https://pypi.org/project/pymilvus,2022-12-15 08:27:00.978,24.0,558408.0,579203.0,https://anaconda.org/conda-forge/faiss,2023-05-25 12:48:36.868,748625.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +57,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-05-15 07:24:27.000000,2023-01-26 21:28:45,11896.0,,6518.0,1082.0,11115.0,1794.0,7762.0,20413.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,True,2022-05-10 20:10:05.000,1.9.1,34.0,mxnet,mxnet,,,['mxnet'],6427.0,6427.0,https://pypi.org/project/mxnet,,,356056.0,356512.0,https://anaconda.org/anaconda/mxnet,2022-10-24 17:53:36.312,9507.0,,,,,2.0,26089.0,,,,,,,,,,,apache/mxnet,,,,,,, +58,shap,slundberg/shap,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000,2023-05-23 17:20:38.000000,2022-06-16 14:46:20,2277.0,,2824.0,261.0,524.0,1573.0,634.0,19287.0,A game theoretic approach to explain the output of any machine learning model.,205.0,38,True,2022-06-16 00:43:28.000,0.41.0,96.0,shap,conda-forge/shap,,,,11764.0,11383.0,https://pypi.org/project/shap,2022-06-16 00:43:28.000,381.0,3790190.0,3824000.0,https://anaconda.org/conda-forge/shap,2023-05-20 07:01:50.614,1927173.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +59,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2023-05-25 11:47:17.000000,2023-05-25 11:47:16,6694.0,279.0,3239.0,254.0,2038.0,777.0,2363.0,17683.0,Graph Neural Network Library for PyTorch.,416.0,38,True,2023-04-27 10:39:41.624,2.3.1,39.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],79.0,,https://pypi.org/project/torch-geometric,2022-12-01 06:49:00.984,79.0,185969.0,186689.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-04-28 15:41:29.223,24489.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +60,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-05-24 17:24:38.000000,2023-05-24 16:52:39,1320.0,20.0,2181.0,329.0,1550.0,339.0,1833.0,13299.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",167.0,38,True,2023-05-10 09:15:00.705,0.28.0,76.0,horovod,,,,,934.0,899.0,https://pypi.org/project/horovod,2022-06-21 09:28:07.000,35.0,74734.0,74734.0,,,,,,,,1.0,,,stable/horovod,,,,,,,,,,,,,,,, +61,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,,2018-06-11 11:04:18.000,2023-05-25 13:40:13.000000,2023-05-12 12:28:30,5531.0,341.0,1685.0,199.0,1121.0,58.0,2071.0,12813.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,245.0,38,False,2023-03-30 15:49:56.000,0.12.2,23.0,flair,conda-forge/python-flair,,,['pytorch'],2483.0,2483.0,https://pypi.org/project/flair,,,76375.0,76909.0,https://anaconda.org/conda-forge/python-flair,2023-04-13 03:14:21.111,18167.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +62,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2023-05-25 10:12:12.000000,2023-05-23 16:11:31,878.0,32.0,1834.0,223.0,407.0,169.0,912.0,9534.0,Download market data from Yahoo! Finances API.,80.0,38,True,2023-04-16 18:04:55.000,0.2.18,54.0,yfinance,ranaroussi/yfinance,,,,23168.0,23168.0,https://pypi.org/project/yfinance,,,651878.0,655353.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532,76467.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +63,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-05-25 14:17:50.000000,2023-05-25 11:36:29,2441.0,93.0,822.0,125.0,1515.0,214.0,543.0,8209.0,Differentiable Computer Vision Library.,217.0,38,True,2023-04-20 21:02:06.000,0.6.12,35.0,kornia,conda-forge/kornia,,,['pytorch'],4409.0,4409.0,https://pypi.org/project/kornia,,,2670423.0,2672676.0,https://anaconda.org/conda-forge/kornia,2023-04-21 03:46:10.761,80747.0,,,,,1.0,642.0,,,,,,,,,,,,,,,,,, +64,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-05-25 06:20:48.000000,2023-05-24 01:29:25,3592.0,214.0,1095.0,105.0,2630.0,585.0,1116.0,6490.0,A unified framework for machine learning with time series.,258.0,38,True,2023-05-21 21:40:01.762,0.19.0,44.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],1282.0,1239.0,https://pypi.org/project/sktime,2023-01-30 10:01:15.197,43.0,1094258.0,1117072.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-05-14 14:53:16.872,501902.0,,,,,1.0,80.0,,,,,,,,,,,sktime/sktime,,,,,,, +65,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2023-05-25 09:37:36.000000,2023-05-24 12:48:19,17421.0,103.0,1145.0,86.0,7241.0,447.0,3997.0,2246.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,339.0,38,True,2023-05-10 15:02:48.000,1.4.0,53.0,mne,conda-forge/mne,,,,2688.0,2688.0,https://pypi.org/project/mne,,,58930.0,62829.0,https://anaconda.org/conda-forge/mne,2023-05-16 20:18:13.598,292465.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +66,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-05-25 03:39:45.000000,2023-05-25 03:39:45,1481.0,29.0,254.0,32.0,450.0,84.0,464.0,1253.0,Python library for reading and writing image data.,100.0,38,True,2023-05-23 19:34:10.365,2.29.0,78.0,imageio,conda-forge/imageio,,,,93775.0,90848.0,https://pypi.org/project/imageio,2023-01-23 02:51:38.269,2927.0,15052611.0,15117907.0,https://anaconda.org/conda-forge/imageio,2023-05-02 12:56:29.829,4961594.0,,,,,1.0,682.0,,,,,,,,,,,,,,,,,, +67,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-04-10 01:17:15.000000,2023-04-10 01:12:31,1618.0,25.0,2743.0,382.0,452.0,7.0,1716.0,13551.0,Python Echarts Plotting Library.,39.0,37,True,2023-04-10 01:18:59.000,2.0.3,2.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3125.0,3125.0,https://pypi.org/project/pyecharts,,,92020.0,92020.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +68,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-05-25 12:50:09.000000,2023-05-25 12:27:04,3054.0,162.0,2822.0,169.0,3519.0,409.0,1904.0,11770.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",261.0,37,True,2023-05-05 08:50:34.000,1.1.0,444.0,dgl,,,,,161.0,94.0,https://pypi.org/project/dgl,2022-09-20 03:47:24.680,67.0,65901.0,65901.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +69,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-05-24 22:17:16.000000,2023-05-24 22:17:16,1091.0,3.0,1330.0,248.0,641.0,310.0,995.0,10488.0,Video editing with Python.,157.0,37,True,2020-05-07 16:29:35.000,1.0.3,14.0,moviepy,conda-forge/moviepy,,,,25021.0,25021.0,https://pypi.org/project/moviepy,,,697670.0,700231.0,https://anaconda.org/conda-forge/moviepy,2022-10-07 16:36:43.237,179307.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +70,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-05-25 07:31:30.000000,2023-05-25 07:31:30,882.0,48.0,932.0,117.0,251.0,17.0,603.0,7456.0,Unsupervised text tokenizer for Neural Network-based text generation.,78.0,37,True,2023-05-02 03:20:40.000,0.1.99,25.0,sentencepiece,conda-forge/sentencepiece,,,,30012.0,30012.0,https://pypi.org/project/sentencepiece,,,10282230.0,10295878.0,https://anaconda.org/conda-forge/sentencepiece,2023-05-24 22:33:35.788,447913.0,,,,,1.0,27125.0,,,,,,,,,,,,,,,,,, +71,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-05-19 06:16:17.000000,2023-05-19 06:16:15,4825.0,231.0,1608.0,128.0,897.0,278.0,1791.0,7317.0,"An open-source, low-code machine learning library in Python.",120.0,37,True,2023-05-18 16:48:01.811,3.0.2,91.0,pycaret,conda-forge/pycaret,,,,3702.0,3688.0,https://pypi.org/project/pycaret,2023-01-09 23:06:25.903,14.0,224502.0,225512.0,https://anaconda.org/conda-forge/pycaret,2023-03-16 01:07:14.896,32752.0,,,,,2.0,640.0,,,,,,,,,,,,,,,,,, +72,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-05-24 15:02:32.000000,2023-05-24 14:47:33,8826.0,702.0,1434.0,148.0,1833.0,384.0,1191.0,4333.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",216.0,37,True,2022-12-01 13:22:37.000,2.7.1,18.0,deepchem,conda-forge/deepchem,,,['tensorflow'],204.0,204.0,https://pypi.org/project/deepchem,,,21383.0,23944.0,https://anaconda.org/conda-forge/deepchem,2022-12-02 15:08:43.839,99880.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +73,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-05-24 23:05:07.000000,2023-05-24 23:05:05,11898.0,87.0,1072.0,170.0,442.0,633.0,720.0,3913.0,Probabilistic reasoning and statistical analysis in TensorFlow.,476.0,37,True,2023-05-16 16:00:03.696,0.20.1,47.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],406.0,,https://pypi.org/project/tensorflow-probability,2022-12-06 22:30:03.065,406.0,1078395.0,1080412.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-02-16 21:27:29.767,102896.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +74,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-05-23 21:44:09.000000,2023-05-20 10:40:37,2191.0,13.0,518.0,87.0,719.0,194.0,857.0,3297.0,Manipulation and analysis of geometric objects.,144.0,37,True,2023-01-30 08:56:47.000,2.0.1,26.0,shapely,conda-forge/shapely,,,,45982.0,45982.0,https://pypi.org/project/shapely,,,11707511.0,11787352.0,https://anaconda.org/conda-forge/shapely,2023-03-17 20:19:14.578,7258930.0,,,,,2.0,1393.0,,,,,,,,,,,,,,,,,, +75,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2022-07-17 00:34:33.000000,2020-02-15 08:33:35,523.0,,6655.0,1289.0,164.0,657.0,216.0,30623.0,Chinese Words Segmentation Utilities.,48.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,24012.0,22381.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1631.0,540252.0,542164.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597,139580.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +76,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-05-25 13:11:38.000000,2023-05-25 13:02:45,3510.0,124.0,6532.0,391.0,4772.0,717.0,2126.0,14016.0,"Datasets, Transforms and Models specific to Computer Vision.",531.0,36,True,2023-05-08 20:12:27.000,0.15.2,34.0,torchvision,conda-forge/torchvision,,,['pytorch'],,,https://pypi.org/project/torchvision,,,5772562.0,5783238.0,https://anaconda.org/conda-forge/torchvision,2023-05-08 00:12:23.200,671756.0,,,,,1.0,24981.0,-6.0,,,,,,,,,,,,,,,,, +77,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-05-25 13:42:38.000000,2023-05-24 05:44:50,2990.0,99.0,1738.0,283.0,3474.0,263.0,1649.0,12911.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",191.0,36,True,2023-05-10 04:36:56.000,3.0rc1,39.0,nni,,,,,395.0,395.0,https://pypi.org/project/nni,,,14441.0,14441.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +78,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-05-25 13:59:17.000000,2023-05-25 13:39:02,2263.0,308.0,1209.0,103.0,2320.0,360.0,1883.0,8886.0,"Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT..",177.0,36,True,2023-04-28 14:41:26.000,1.16.1,48.0,haystack,,,,,792.0,707.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000,85.0,2888.0,2888.0,,,,,,,,1.0,22.0,,,,,,,,,,,,,,,,,, +79,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-05-25 13:25:57.000000,2023-05-25 13:25:57,21685.0,1916.0,1932.0,203.0,4245.0,180.0,3260.0,8787.0,data science on data without acquiring a copy.,489.0,36,True,2023-04-27 07:02:47.000,0.8.0,140.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2023-01-20 00:37:03.131,5.0,6924.0,6924.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +80,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-05-25 13:58:18.000000,2023-05-25 12:21:33,45960.0,556.0,1079.0,193.0,333.0,479.0,1580.0,7154.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1129.0,36,True,2023-05-01 23:11:47.000,1.2,82.0,catboost,conda-forge/catboost,,,,,,https://pypi.org/project/catboost,,,5392344.0,5416223.0,https://anaconda.org/conda-forge/catboost,2023-05-02 12:26:07.128,1303116.0,,,,,2.0,147005.0,,,,,,,,,,,,,,,,,, +81,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-05-25 14:02:12.000000,2023-05-24 18:58:35,17933.0,845.0,1899.0,177.0,2943.0,457.0,1707.0,6592.0,End-to-End Speech Processing Toolkit.,348.0,36,True,2023-05-01 12:53:04.000,.202304,49.0,espnet,,,,,186.0,181.0,https://pypi.org/project/espnet,2022-05-28 02:21:31.000,5.0,25862.0,25863.0,,,,,,,,1.0,78.0,,,,,,,,,,,,,,,,,, +82,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2023-05-25 14:14:58.000000,2023-05-23 17:24:55,31924.0,236.0,1959.0,390.0,6510.0,2695.0,6243.0,6275.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",242.0,36,True,,,143.0,h2o,,,,,81.0,,https://pypi.org/project/h2o,2023-02-08 23:36:45.469,81.0,383144.0,383144.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +83,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-05-25 13:54:27.000000,2023-05-25 13:05:24,8126.0,225.0,1062.0,121.0,897.0,168.0,778.0,5994.0,A PyTorch-based Speech Toolkit.,202.0,36,True,2023-03-24 18:00:58.794,0.5.14,13.0,speechbrain,,,,['pytorch'],735.0,724.0,https://pypi.org/project/speechbrain,2022-08-29 16:28:12.336,11.0,92709.0,92709.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +84,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-05-24 19:50:33.000000,2023-05-24 19:50:31,852.0,161.0,467.0,81.0,745.0,100.0,629.0,4591.0,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",136.0,36,True,2023-05-08 12:38:19.000,0.19.0,28.0,accelerate,conda-forge/accelerate,,,['pytorch'],6908.0,6744.0,https://pypi.org/project/accelerate,2023-01-31 17:16:03.642,164.0,3529856.0,3531630.0,https://anaconda.org/conda-forge/accelerate,2023-05-08 13:57:26.236,33722.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +85,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-05-21 13:07:26.000000,2023-05-21 13:07:26,1626.0,62.0,812.0,116.0,511.0,126.0,333.0,4408.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,98.0,36,True,2023-04-02 19:01:01.792,0.22.0,50.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],9420.0,9251.0,https://pypi.org/project/mlxtend,2022-09-20 04:04:14.972,169.0,847589.0,851496.0,https://anaconda.org/conda-forge/mlxtend,2023-04-06 12:47:27.873,273532.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +86,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-05-25 14:07:51.000000,2023-05-25 05:07:05,3601.0,169.0,476.0,78.0,1810.0,85.0,606.0,4348.0,Flax is a neural network library for JAX that is designed for flexibility.,194.0,36,True,2023-05-09 16:03:12.000,0.6.10,29.0,flax,conda-forge/flax,,,['jax'],3217.0,3217.0,https://pypi.org/project/flax,,,663171.0,664171.0,https://anaconda.org/conda-forge/flax,2023-03-16 08:47:43.339,25995.0,,,,,2.0,45.0,,,,,,,,,,,,,,,,,, +87,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-05-25 09:12:25.000000,2023-05-25 06:50:34,19871.0,438.0,1083.0,238.0,6513.0,730.0,1161.0,4214.0,"Fast, distributed, secure AI for Big Data.",177.0,36,True,2023-04-24 02:17:43.000,2.3.0,567.0,bigdl,,,,,47.0,42.0,https://pypi.org/project/bigdl,2022-07-07 01:48:22.000,1.0,11407.0,11407.0,,,,,,,,2.0,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,, +88,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-05-25 14:13:32.000000,2023-05-24 21:30:29,2691.0,162.0,770.0,90.0,2904.0,266.0,2241.0,4070.0,AI Toolkit for Healthcare Imaging.,152.0,36,True,2022-12-19 21:05:07.000,1.1.0,15.0,monai,conda-forge/monai,,,['pytorch'],988.0,988.0,https://pypi.org/project/monai,,,80147.0,80907.0,https://anaconda.org/conda-forge/monai,2022-12-19 21:06:46.126,12932.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +89,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-05-25 14:31:21.000000,2023-05-25 09:42:15,5822.0,153.0,1438.0,109.0,3855.0,659.0,667.0,3874.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",283.0,36,True,2023-04-13 11:23:03.098,4.9.2,35.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],205.0,,https://pypi.org/project/tensorflow-datasets,2023-01-17 20:43:03.045,205.0,1464203.0,1464962.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-02-27 19:53:09.423,18218.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +90,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2023-05-10 12:31:09.000000,2023-05-10 11:59:32,1967.0,75.0,200.0,68.0,123.0,73.0,488.0,3466.0,A grammar of graphics for Python.,102.0,36,True,2023-05-10 08:30:21.000,0.12.1,16.0,plotnine,conda-forge/plotnine,,,,5346.0,5098.0,https://pypi.org/project/plotnine,2022-09-29 12:37:01.873,248.0,881231.0,884915.0,https://anaconda.org/conda-forge/plotnine,2023-05-09 17:51:31.336,265294.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +91,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2023-05-24 16:43:57.000000,2023-05-24 16:43:53,3682.0,87.0,1002.0,153.0,1454.0,361.0,836.0,3261.0,Fast data visualization and GUI tools for scientific / engineering applications.,253.0,36,True,2023-04-14 21:33:03.621,0.13.3,21.0,pyqtgraph,conda-forge/pyqtgraph,,,,936.0,,https://pypi.org/project/pyqtgraph,2022-09-29 04:05:13.139,936.0,110843.0,116168.0,https://anaconda.org/conda-forge/pyqtgraph,2023-04-14 23:35:50.836,404757.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +92,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-05-25 12:01:43.000000,2023-05-17 17:33:11,16801.0,1020.0,346.0,43.0,1905.0,459.0,792.0,3025.0,"Visualize, create, and debug image and video datasets and model predictions.",80.0,36,True,2023-04-06 17:13:13.000,0.20.1,120.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",317.0,310.0,https://pypi.org/project/fiftyone,2023-01-04 18:12:10.982,7.0,72846.0,72846.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +93,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2023-05-03 16:47:20.607000,2023-04-27 07:58:32,5234.0,15.0,261.0,85.0,741.0,16.0,117.0,2719.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",61.0,36,True,2023-05-03 13:38:28.000,8.1.10,71.0,thinc,conda-forge/thinc,,,,31286.0,31286.0,https://pypi.org/project/thinc,,,4389626.0,4422506.0,https://anaconda.org/conda-forge/thinc,2023-05-03 16:47:20.607,2466035.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +94,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,,2013-11-04 16:36:27.000,2023-05-23 20:58:31.000000,2023-05-23 20:58:30,3748.0,52.0,508.0,149.0,1068.0,106.0,1553.0,1961.0,Rasterio reads and writes geospatial raster datasets.,147.0,36,False,2023-05-22 22:47:26.000,1.3.7,80.0,rasterio,conda-forge/rasterio,,,,7738.0,7738.0,https://pypi.org/project/rasterio,,,1341231.0,1367982.0,https://anaconda.org/conda-forge/rasterio,2023-05-23 04:38:22.902,2299955.0,,,,,2.0,794.0,,,,,,,,,,,,,,,,,, +95,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-04-18 14:52:19.000000,2023-04-18 14:52:14,1502.0,11.0,590.0,60.0,1862.0,251.0,889.0,1646.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,204.0,36,True,2023-04-07 17:03:02.509,0.20.0,35.0,tensorflow-addons,,,,['tensorflow'],12311.0,12103.0,https://pypi.org/project/tensorflow-addons,2022-12-10 00:02:02.170,208.0,1207242.0,1207242.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +96,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-05-24 19:44:25.000000,2023-05-19 01:43:33,1489.0,33.0,194.0,30.0,641.0,19.0,540.0,890.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,61.0,36,True,2023-03-28 02:41:03.000,3.5.0,48.0,pyproj,conda-forge/pyproj,,,,20770.0,20770.0,https://pypi.org/project/pyproj,,,6528826.0,6595767.0,https://anaconda.org/conda-forge/pyproj,2023-03-29 04:46:07.965,5957805.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +97,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-05-25 09:11:37.000000,2023-05-25 09:10:38,598.0,18.0,2510.0,288.0,214.0,214.0,567.0,18073.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",121.0,35,True,2023-05-25 09:11:38.000,1.7.0,21.0,easyocr,,,,,2796.0,2796.0,https://pypi.org/project/easyocr,,,105591.0,236588.0,,,,,,,,1.0,4584903.0,,,,,,,,,,,,,,,,,, +98,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2023-04-13 17:44:10.000000,2020-06-01 14:58:26,2913.0,,2331.0,231.0,333.0,277.0,222.0,13557.0,Image augmentation for machine learning experiments.,36.0,35,False,2020-02-06 06:18:40.000,0.4.0,3.0,imgaug,conda-forge/imgaug,,,,14887.0,14887.0,https://pypi.org/project/imgaug,,,300985.0,303732.0,https://anaconda.org/conda-forge/imgaug,2021-12-31 00:20:29.231,129146.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +99,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-05-09 20:41:01.000000,2021-06-01 10:43:00,1848.0,,4167.0,547.0,707.0,331.0,1263.0,13286.0,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,35,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,5125.0,5125.0,https://pypi.org/project/chatterbot,,,43362.0,43362.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +100,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-05-18 20:19:48.000000,2023-05-18 20:19:44,870.0,23.0,1085.0,317.0,263.0,53.0,332.0,11382.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,86.0,35,True,2023-04-10 15:05:02.750,1.17.2,45.0,annoy,conda-forge/python-annoy,,,,3134.0,2877.0,https://pypi.org/project/annoy,2022-08-08 09:35:43.528,257.0,1118560.0,1122675.0,https://anaconda.org/conda-forge/python-annoy,2022-10-31 10:34:45.740,329216.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +101,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-05-25 12:58:58.000000,2023-05-23 15:49:11,1198.0,7.0,1997.0,120.0,237.0,974.0,780.0,10680.0,Multilingual Sentence & Image Embeddings with BERT.,110.0,35,True,2022-06-26 19:52:06.000,2.2.2,42.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],9111.0,8812.0,https://pypi.org/project/sentence-transformers,2022-06-26 19:50:11.000,299.0,2209478.0,2213019.0,https://anaconda.org/conda-forge/sentence-transformers,2022-06-27 02:36:18.009,113342.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +102,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2023-05-10 09:19:48.416000,2023-03-31 14:18:46,4635.0,25.0,4329.0,387.0,624.0,567.0,1227.0,10641.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",188.0,35,False,2023-04-01 12:36:00.325,2.5.9,51.0,glfw,conda-forge/glfw,,,,179.0,2.0,https://pypi.org/project/glfw,2022-04-09 06:23:40.000,177.0,138304.0,173837.0,https://anaconda.org/conda-forge/glfw,2023-05-10 09:19:48.416,119502.0,,,,,1.0,3252675.0,4.0,,,,,,,,,,,,,,,,, +103,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,,2011-08-10 03:48:06.000,2023-03-30 13:02:05.000000,2022-12-20 16:49:55,28132.0,,2404.0,549.0,4117.0,585.0,2087.0,9730.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,35,False,,,8.0,theano,conda-forge/theano,,,,13904.0,13904.0,https://pypi.org/project/theano,,,227216.0,255658.0,https://anaconda.org/conda-forge/theano,2022-03-16 06:30:00.008,2332263.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +104,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-05-25 14:15:48.000000,2023-01-24 16:27:46,5833.0,,2896.0,235.0,1363.0,993.0,3464.0,9233.0,Open-source simulator for autonomous driving research.,152.0,35,True,2022-12-24 18:31:33.838,0.9.14,25.0,carla,,,,,466.0,460.0,https://pypi.org/project/carla,2022-12-24 18:31:33.838,6.0,18507.0,18507.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +105,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2023-05-24 14:46:50.000000,2023-05-23 16:13:01,10369.0,60.0,1853.0,351.0,3352.0,121.0,1120.0,8219.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,329.0,35,True,2023-03-14 17:30:13.000,9.8.0,28.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,,,https://pypi.org/project/vowpalwabbit,,,90398.0,92916.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-03-15 10:43:24.558,115866.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +106,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-05-09 17:48:43.000000,2023-03-20 01:12:16,1671.0,12.0,1245.0,149.0,195.0,153.0,142.0,7062.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,48.0,35,True,2023-03-08 22:50:04.000,1.0.8,35.0,pyod,conda-forge/pyod,,,,2361.0,2361.0,https://pypi.org/project/pyod,,,504562.0,506346.0,https://anaconda.org/conda-forge/pyod,2023-03-20 02:38:49.031,67802.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +107,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2023-05-15 17:54:11.000000,2023-05-15 17:54:10,590.0,43.0,298.0,66.0,84.0,36.0,108.0,6800.0,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",23.0,35,True,2023-04-19 04:15:07.188,0.6.1,10.0,einops,conda-forge/einops,,,,11487.0,11011.0,https://pypi.org/project/einops,2022-11-09 20:33:53.191,476.0,3856182.0,3858477.0,https://anaconda.org/conda-forge/einops,2023-04-19 06:14:15.259,101005.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +108,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2023-04-29 21:54:24.000000,2022-12-28 13:20:34,805.0,,1169.0,144.0,448.0,46.0,497.0,6353.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,71.0,35,True,2022-12-09 14:24:27.000,0.10.0,31.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],17179.0,17179.0,https://pypi.org/project/imbalanced-learn,,,3133705.0,3139739.0,https://anaconda.org/conda-forge/imbalanced-learn,2022-12-28 14:02:07.828,404282.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +109,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-05-24 17:10:14.000000,2023-05-24 17:10:14,2763.0,52.0,2186.0,173.0,1008.0,23.0,1361.0,6085.0,Open Source Neural Machine Translation in PyTorch.,187.0,35,True,2023-05-24 10:43:00.811,3.1.3,42.0,OpenNMT-py,,,,['pytorch'],199.0,190.0,https://pypi.org/project/OpenNMT-py,2022-12-19 11:45:01.363,9.0,3844.0,3844.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +110,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-05-25 13:31:44.000000,2023-05-25 11:20:00,8218.0,113.0,657.0,94.0,12877.0,34.0,753.0,3259.0,State of the Art Natural Language Processing.,106.0,35,True,2023-05-10 20:30:24.000,4.4.2,123.0,spark-nlp,,,,['spark'],312.0,293.0,https://pypi.org/project/spark-nlp,2023-01-24 12:55:58.136,19.0,2842093.0,2842093.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +111,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-05-25 13:44:57.000000,2023-05-25 13:40:19,2070.0,171.0,563.0,75.0,2585.0,237.0,618.0,2103.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",207.0,35,True,2023-05-08 20:03:52.000,2.0.2,27.0,torchaudio,,,,['pytorch'],332.0,,https://pypi.org/project/torchaudio,2022-12-15 20:22:00.627,332.0,966072.0,966072.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +112,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-05-25 10:34:45.000000,2023-05-25 10:33:51,3556.0,205.0,335.0,31.0,2309.0,333.0,854.0,1795.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,121.0,35,True,2023-05-05 20:35:06.000,0.39.0,56.0,pyvista,conda-forge/pyvista,,,['jupyter'],1905.0,1905.0,https://pypi.org/project/pyvista,,,96474.0,103577.0,https://anaconda.org/conda-forge/pyvista,2023-05-22 19:19:17.749,340494.0,,,,,2.0,713.0,,,,,,,,,,,,,,,,,, +113,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-05-25 13:22:51.000000,2023-05-22 10:20:50,4728.0,56.0,448.0,21.0,987.0,806.0,543.0,1701.0,"This is the development home of the workflow management system Snakemake. For general information, see.",288.0,35,True,2023-05-22 10:24:03.095,7.26.0,269.0,snakemake,bioconda/snakemake,,,,1785.0,1541.0,https://pypi.org/project/snakemake,2023-01-18 12:51:01.173,244.0,70912.0,79069.0,https://anaconda.org/bioconda/snakemake,2023-05-22 14:27:23.216,742287.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +114,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2023-05-25 12:25:53.000000,2023-05-25 12:25:15,1288.0,189.0,304.0,26.0,1021.0,52.0,560.0,1442.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",194.0,35,True,2023-03-10 21:56:09.000,0.11.4,32.0,metrics,conda-forge/torchmetrics,,,['pytorch'],11330.0,11316.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,14.0,8514.0,42049.0,https://anaconda.org/conda-forge/torchmetrics,2023-03-13 15:22:03.065,870184.0,,,,,2.0,1763.0,,,,,,,,,,,Lightning-AI/torchmetrics,,,,,,, +115,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2023-05-24 09:30:59.000000,2023-05-12 14:03:59,1490.0,17.0,329.0,45.0,1429.0,169.0,646.0,1386.0,Exploratory analysis of Bayesian models with Python.,144.0,35,True,2023-03-06 23:30:56.203,0.15.1,32.0,arviz,conda-forge/arviz,,,,4230.0,4093.0,https://pypi.org/project/arviz,2022-11-16 10:35:34.903,137.0,1154386.0,1186788.0,https://anaconda.org/conda-forge/arviz,2023-03-14 10:21:53.404,1555203.0,,,,,1.0,123.0,,,,,,,,,,,,,,,,,, +116,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2023-05-23 23:40:25.000000,2023-05-23 23:40:14,1439.0,53.0,189.0,49.0,498.0,28.0,715.0,1044.0,Fiona reads and writes geographic data files.,68.0,35,True,2023-05-23 23:23:16.000,1.9.4.post1,46.0,fiona,conda-forge/fiona,,,,12840.0,12840.0,https://pypi.org/project/fiona,,,4774510.0,4826909.0,https://anaconda.org/conda-forge/fiona,2023-05-17 11:04:32.071,4506369.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +117,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-05-24 06:59:37.000000,2023-04-20 02:26:37,5997.0,8.0,6163.0,403.0,2577.0,1623.0,5629.0,30572.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",127.0,34,True,2022-08-24 09:04:27.000,2.6.0,6.0,paddleocr,,,,['paddle'],1410.0,1410.0,https://pypi.org/project/paddleocr,,,42814.0,42814.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +118,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2023-05-25 00:40:45.000000,2023-05-25 00:40:44,1902.0,145.0,4055.0,298.0,345.0,59.0,674.0,25392.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..",101.0,34,True,2023-05-14 15:08:21.000,0.9.2,46.0,timm,conda-forge/timm,,,['pytorch'],,,https://pypi.org/project/timm,,,3213600.0,3309822.0,https://anaconda.org/conda-forge/timm,2023-05-14 20:41:59.966,67802.0,,,,,2.0,4522991.0,,,,,,,,,,,huggingface/pytorch-image-models,,,,,,, +119,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-05-24 15:34:07.000000,2023-05-24 03:42:08,1467.0,35.0,6405.0,367.0,613.0,314.0,2985.0,24964.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",249.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1132.0,1132.0,https://pypi.org/project/detectron2,,,,4546.0,https://anaconda.org/conda-forge/detectron2,2023-05-15 08:06:21.324,163675.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +120,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-05-25 12:51:03.000000,2023-04-17 10:23:50,382.0,1.0,4419.0,853.0,257.0,449.0,608.0,24622.0,Library for fast text representation and classification.,60.0,34,True,2020-04-28 09:51:33.000,0.9.2,4.0,fasttext,conda-forge/fasttext,,,,4494.0,4494.0,https://pypi.org/project/fasttext,,,928994.0,929823.0,https://anaconda.org/conda-forge/fasttext,2022-11-01 19:01:43.034,55589.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +121,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-05-25 11:58:13.000000,2023-04-06 06:55:28,2539.0,43.0,7802.0,369.0,2891.0,668.0,6391.0,24269.0,OpenMMLab Detection Toolbox and Benchmark.,394.0,34,True,2023-04-06 07:26:03.000,3.0.0,50.0,mmdet,,,,['pytorch'],,,https://pypi.org/project/mmdet,,,174056.0,174056.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +122,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-05-25 03:09:21.000000,2023-05-25 03:09:15,6805.0,317.0,2476.0,290.0,166.0,26.0,909.0,22833.0,"Visualizer for neural network, deep learning, and machine learning models.",2.0,34,True,2023-05-20 03:01:00.538,6.9.1,569.0,netron,,,,"['pytorch', 'tensorflow']",80.0,10.0,https://pypi.org/project/netron,2023-01-28 04:16:27.182,70.0,12014.0,80875.0,,,,,,,,1.0,68861.0,,,,,,,,,,,,,,,,,, +123,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2023-05-24 07:29:43.000000,2021-11-17 17:52:52,3466.0,,3730.0,660.0,1665.0,128.0,1976.0,21961.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,34,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],379.0,333.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,46.0,7621.0,25776.0,https://anaconda.org/conda-forge/deepspeech,2021-07-29 19:26:04.079,1827.0,,,,,2.0,1012079.0,,,,,,,,,,,,,,,,,, +124,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2023-05-25 13:58:54.000000,2023-05-25 12:24:35,11829.0,2239.0,2000.0,365.0,3197.0,565.0,2232.0,16202.0,MindsDB is a Server for Artificial Intelligence Logic. Enabling developers to ship AI powered projects to production..,625.0,34,False,2023-05-23 10:12:38.000,23.5.4.1,100.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,,,22568.0,22568.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +125,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000,2023-05-12 10:26:27.000000,2023-04-22 17:19:25,8392.0,91.0,2674.0,265.0,1158.0,158.0,605.0,15738.0,Best Practices on Recommendation Systems.,125.0,34,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,71.0,71.0,https://pypi.org/project/recommenders,,,33257.0,33263.0,,,,,,,,1.0,332.0,,,,,,,,,,,,,,,,,, +126,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2023-05-22 12:02:38.000000,2023-05-22 12:02:38,2246.0,61.0,4258.0,477.0,138.0,1235.0,936.0,14873.0,State-of-the-art 2D and 3D Face Analysis Project.,53.0,34,True,2023-04-02 07:43:27.000,0.7,1.0,insightface,,,,['mxnet'],312.0,312.0,https://pypi.org/project/insightface,,,210628.0,221902.0,,,,,,,,2.0,11274.0,,,,,,,,,,,,,,,,,, +127,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-05-17 14:46:22.000000,2023-03-23 20:17:28,777.0,4.0,1484.0,125.0,652.0,344.0,420.0,12041.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,129.0,34,True,2022-09-20 07:33:54.000,1.3.0,17.0,albumentations,conda-forge/albumentations,,,['pytorch'],14775.0,14775.0,https://pypi.org/project/albumentations,,,628737.0,631097.0,https://anaconda.org/conda-forge/albumentations,2022-09-20 14:09:56.676,110943.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +128,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2022-11-22 23:28:35.000000,2022-11-22 00:42:46,2719.0,,2177.0,283.0,3096.0,80.0,2477.0,11496.0,"An open-source NLP research library, built on PyTorch.",265.0,34,True,2022-10-18 23:32:24.000,2.10.1,59.0,allennlp,conda-forge/allennlp,,,['pytorch'],3537.0,3537.0,https://pypi.org/project/allennlp,,,50188.0,52218.0,https://anaconda.org/conda-forge/allennlp,2022-07-15 16:42:26.330,107610.0,,,,,2.0,55.0,,,,,,,,,,,,,,,,,, +129,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-05-24 21:58:12.000000,2023-05-18 15:43:12,4323.0,22.0,1972.0,290.0,3367.0,54.0,1481.0,10074.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,208.0,34,True,2022-09-16 16:27:05.000,1.7.1,22.0,parlai,,,,['pytorch'],193.0,193.0,https://pypi.org/project/parlai,,,2946.0,2946.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +130,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-03-11 18:17:17.000000,2023-03-11 18:17:15,563.0,1.0,1072.0,270.0,156.0,100.0,155.0,8579.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,34,True,2013-09-26 02:29:01.000,0.7.0,7.0,textblob,conda-forge/textblob,,,,29968.0,29968.0,https://pypi.org/project/textblob,,,838973.0,841676.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233,218999.0,,,,,2.0,101.0,,,,,,,,,,,,,,,,,, +131,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-05-25 13:06:14.000000,2023-05-18 21:47:36,2389.0,14.0,965.0,202.0,2205.0,235.0,799.0,7956.0,Deep universal probabilistic programming with Python and PyTorch.,138.0,34,True,2023-01-03 22:38:54.000,1.8.4,32.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1503.0,1419.0,https://pypi.org/project/pyro-ppl,2023-01-03 22:33:03.205,84.0,333184.0,335936.0,https://anaconda.org/conda-forge/pyro-ppl,2023-01-04 04:15:32.028,71574.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +132,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-05-22 09:26:43.000000,2022-12-08 17:49:19,746.0,,940.0,134.0,207.0,301.0,264.0,7246.0,Manipulate audio with a simple and easy high level interface.,95.0,34,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,28476.0,27387.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1089.0,5681725.0,5682687.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142,50999.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +133,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2023-05-15 18:52:49.000000,2023-03-13 12:21:37,454.0,22.0,2254.0,285.0,127.0,291.0,303.0,7195.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,34,True,2023-03-14 12:04:32.000,3.10.0,54.0,SpeechRecognition,conda-forge/speechrecognition,,,,780.0,,https://pypi.org/project/SpeechRecognition,2022-12-04 12:47:02.703,780.0,473684.0,475722.0,https://anaconda.org/conda-forge/speechrecognition,2023-03-14 13:52:07.394,165097.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +134,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-05-25 10:05:55.000000,2023-05-22 07:26:47,2829.0,62.0,1500.0,85.0,1535.0,251.0,1494.0,7115.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",109.0,34,True,2023-04-11 13:37:00.617,2.8.0,18.0,paddleseg,,,,['paddle'],922.0,919.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,3.0,3478.0,3478.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +135,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-05-25 13:54:48.000000,2023-05-25 13:54:48,1389.0,7.0,862.0,218.0,213.0,172.0,230.0,6318.0,Efficiently computes derivatives of numpy code.,54.0,34,True,2017-08-24 17:00:41.000,1.1.13,26.0,autograd,conda-forge/autograd,,,,5667.0,5359.0,https://pypi.org/project/autograd,2022-09-29 07:11:01.873,308.0,1057910.0,1061824.0,https://anaconda.org/conda-forge/autograd,2022-10-03 07:57:46.067,317040.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +136,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2023-05-24 19:22:52.000000,2023-05-24 19:22:52,1681.0,13.0,689.0,123.0,249.0,383.0,319.0,6228.0,Uniform Manifold Approximation and Projection.,115.0,34,True,2022-04-13 21:19:42.000,0.5.3,26.0,umap-learn,conda-forge/umap-learn,,,,9110.0,9110.0,https://pypi.org/project/umap-learn,,,807294.0,838672.0,https://anaconda.org/conda-forge/umap-learn,2023-05-19 23:14:33.578,1914105.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +137,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-05-24 18:31:09.000000,2023-05-24 18:02:23,2526.0,292.0,669.0,142.0,75.0,61.0,299.0,5508.0,Fit interpretable models. Explain blackbox machine learning.,38.0,34,True,2023-05-16 23:46:49.000,0.4.1,42.0,interpret,,,,['jupyter'],460.0,434.0,https://pypi.org/project/interpret,2022-11-18 02:00:00.498,26.0,60575.0,60575.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +138,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-05-25 10:21:45.000000,2023-05-25 10:21:44,2446.0,169.0,559.0,66.0,2812.0,180.0,725.0,4920.0,Unified Model Serving Framework.,156.0,34,True,2023-05-10 01:14:59.000,1.0.20,103.0,bentoml,,,,,985.0,976.0,https://pypi.org/project/bentoml,2023-02-15 22:44:00.659,9.0,39715.0,39752.0,,,,,,,,1.0,1843.0,,,,,,,,,,,,,,,,,, +139,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-05-25 14:27:56.000000,2023-05-25 13:39:02,2269.0,240.0,229.0,43.0,1875.0,252.0,627.0,3698.0,"Aim An easy-to-use & supercharged open-source AI metadata tracker (experiment tracking, AI agents tracing).",62.0,34,True,2023-05-04 12:58:53.000,3.17.4,652.0,aim,conda-forge/aim,,,,227.0,220.0,https://pypi.org/project/aim,2022-07-07 00:13:43.000,7.0,98170.0,99563.0,https://anaconda.org/conda-forge/aim,2023-05-04 16:43:28.481,30650.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +140,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-05-24 17:23:11.000000,2023-04-17 20:01:27,1266.0,5.0,2303.0,2000.0,519.0,343.0,1057.0,3694.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,63.0,34,True,2023-04-12 03:40:02.864,1.50.0,98.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2022-12-05 15:40:15.786,48.0,474000.0,474008.0,,,,,,,,2.0,492.0,,,,,,,,,,,,,,,,,, +141,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2023-05-24 17:29:06.000000,2023-05-24 17:29:03,1143.0,18.0,1699.0,147.0,207.0,3.0,671.0,3333.0,A library for transfer learning by reusing parts of TensorFlow models.,104.0,34,True,2023-03-14 19:14:17.000,0.13.0,16.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],334.0,,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000,334.0,1743903.0,1745276.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-03-15 11:57:45.280,81041.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +142,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-05-25 10:27:27.000000,2023-05-09 07:06:07,10496.0,41.0,376.0,61.0,2697.0,1011.0,2029.0,2429.0,"With Holoviews, your data visualizes itself.",134.0,34,True,2023-05-09 07:31:38.000,1.16.0,123.0,holoviews,conda-forge/holoviews,,,['jupyter'],245.0,,https://pypi.org/project/holoviews,2023-01-16 20:36:07.988,243.0,333658.0,349011.0,https://anaconda.org/conda-forge/holoviews,2023-05-11 09:41:11.293,1237278.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205,2.0,624.0,,,,,,,,,,, +143,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2023-05-19 10:29:59.000000,2023-05-19 10:29:59,913.0,19.0,371.0,38.0,139.0,42.0,227.0,2229.0,A library of sklearn compatible categorical variable encoders.,61.0,34,True,2023-05-15 21:28:45.000,2.6.1,18.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],5324.0,5324.0,https://pypi.org/project/category_encoders,,,1284982.0,1287687.0,https://anaconda.org/conda-forge/category_encoders,2023-05-16 12:32:27.184,221830.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +144,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-05-13 13:47:58.000000,2023-01-30 19:02:45,1184.0,,193.0,32.0,40.0,9.0,152.0,1397.0,Simple Python interface for Graphviz.,19.0,34,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,51440.0,48133.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3307.0,7362976.0,7363486.0,https://anaconda.org/anaconda/python-graphviz,2023-03-16 14:11:56.878,37237.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +145,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-05-25 14:14:22.000000,2023-05-12 18:24:33,828.0,32.0,292.0,42.0,949.0,131.0,153.0,1094.0,Making text a first-class citizen in TensorFlow.,106.0,34,True,2023-04-12 22:52:51.000,2.12.1,62.0,tensorflow-text,,,,['tensorflow'],5388.0,5278.0,https://pypi.org/project/tensorflow-text,2022-11-18 21:38:02.468,110.0,3897108.0,3897108.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +146,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-05-17 13:06:33.000000,2023-05-17 13:06:30,14698.0,38.0,506.0,50.0,2251.0,392.0,939.0,679.0,Workflows and interfaces for neuroimaging packages.,244.0,34,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,1676.0,1510.0,https://pypi.org/project/nipype,2022-09-21 15:07:03.066,166.0,81244.0,88064.0,https://anaconda.org/conda-forge/nipype,2023-04-11 15:43:59.059,559307.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +147,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-05-24 19:02:23.000000,2023-05-09 19:16:22,12936.0,445.0,375.0,52.0,1848.0,151.0,700.0,597.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",144.0,34,True,2023-04-23 23:30:00.533,1.7.0,26.0,dipy,conda-forge/dipy,,,,878.0,786.0,https://pypi.org/project/dipy,2023-01-16 21:23:02.016,92.0,12645.0,17186.0,https://anaconda.org/conda-forge/dipy,2023-04-26 16:02:45.970,381479.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +148,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-05-05 19:28:26.000000,2023-04-01 10:19:28,4379.0,2.0,3272.0,461.0,669.0,588.0,672.0,13655.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,33,True,2020-06-17 16:15:36.000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1461.0,1368.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000,93.0,8758.0,8758.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +149,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-05-25 14:43:43.000000,2023-05-25 14:43:36,13261.0,2660.0,3988.0,64.0,7238.0,2143.0,6796.0,10813.0,The Unified Machine Learning Framework.,985.0,33,True,2022-06-01 09:22:21.000,1.1.10,20.0,ivy-core,,,,,6.0,,https://pypi.org/project/ivy-core,2022-06-01 09:22:21.000,6.0,204.0,204.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +150,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-03-03 00:43:31.000000,2021-07-29 23:17:25,531.0,,1733.0,267.0,111.0,87.0,533.0,10663.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,38.0,lime,conda-forge/lime,,,,3914.0,3756.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,158.0,296823.0,298949.0,https://anaconda.org/conda-forge/lime,2022-09-23 13:59:18.301,163771.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +151,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-05-18 21:01:57.000000,2023-05-18 21:01:56,2415.0,19.0,1492.0,290.0,420.0,261.0,620.0,9086.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,116.0,33,False,2021-01-06 15:19:33.000,0.11.7,27.0,tpot,conda-forge/tpot,,,['sklearn'],2152.0,2152.0,https://pypi.org/project/tpot,,,33149.0,35805.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005,212525.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +152,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-05-25 05:07:41.000000,2023-05-25 03:48:43,3518.0,192.0,990.0,184.0,2450.0,219.0,699.0,8930.0,Data-centric declarative deep learning framework.,135.0,33,True,2023-03-23 15:29:23.000,0.7.4,33.0,ludwig,,,,['tensorflow'],169.0,169.0,https://pypi.org/project/ludwig,,,2426.0,2426.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +153,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-02-24 19:00:26.000000,2021-09-09 20:54:41,384.0,,877.0,265.0,148.0,82.0,103.0,8876.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,23.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,18779.0,18779.0,https://pypi.org/project/fuzzywuzzy,,,6313756.0,6319521.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409,472734.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +154,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-04-02 21:41:20.000000,2023-04-02 21:41:19,1384.0,6.0,1365.0,307.0,884.0,124.0,756.0,8827.0,AutoML library for deep learning.,141.0,33,True,2023-01-28 18:28:09.000,1.1.0,58.0,autokeras,,,,['tensorflow'],491.0,491.0,https://pypi.org/project/autokeras,,,13551.0,13787.0,,,,,,,,1.0,15635.0,,,,,,,,,,,,,,,,,, +155,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-05-23 01:44:13.000000,2023-05-09 16:24:28,2371.0,22.0,526.0,102.0,392.0,504.0,1107.0,7795.0,An open source multi-tool for exploring and publishing data.,75.0,33,True,2023-04-27 15:09:02.422,0.64.3,133.0,datasette,conda-forge/datasette,,,,1205.0,992.0,https://pypi.org/project/datasette,2023-01-11 18:35:59.626,213.0,35790.0,36607.0,https://anaconda.org/conda-forge/datasette,2023-04-28 15:00:37.141,20400.0,,,,,2.0,44.0,,,,,,,,datasette,,,,,,,,,, +156,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-05-14 07:33:11.000000,2023-05-14 07:33:10,510.0,6.0,867.0,89.0,254.0,76.0,370.0,7617.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",79.0,33,True,2022-06-05 11:53:54.000,2.5.1,19.0,tensorboardX,conda-forge/tensorboardx,,,,31368.0,30406.0,https://pypi.org/project/tensorboardX,2022-06-05 11:53:54.000,962.0,1546417.0,1562990.0,https://anaconda.org/conda-forge/tensorboardx,2022-06-07 21:45:23.917,1060360.0,,,,,2.0,376.0,,,,,,,,,,,,,,,,,, +157,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-05-25 10:24:29.000000,2023-05-25 10:24:29,1667.0,36.0,574.0,109.0,483.0,235.0,533.0,7025.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,69.0,33,True,2023-04-05 08:02:19.000,0.13.3,73.0,tokenizers,conda-forge/tokenizers,,,,61.0,61.0,https://pypi.org/project/tokenizers,,,10789221.0,10820814.0,https://anaconda.org/conda-forge/tokenizers,2023-04-05 14:47:38.203,1074173.0,,,,,2.0,1.0,,,,,,,,,,,,,,,,,, +158,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2023-05-25 07:11:29.000000,2023-05-25 07:09:50,353.0,39.0,1381.0,134.0,118.0,10.0,300.0,6794.0,A Python implementation of global optimization with gaussian processes.,40.0,33,True,2023-04-25 21:59:23.000,1.4.3,13.0,bayesian-optimization,,,,,1843.0,1843.0,https://pypi.org/project/bayesian-optimization,,,197997.0,197998.0,,,,,,,,1.0,120.0,,,,,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,, +159,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-05-25 12:42:24.000000,2023-05-24 22:23:45,5500.0,289.0,1499.0,152.0,4663.0,42.0,1550.0,6739.0,NeMo: a toolkit for conversational AI.,220.0,33,True,2023-05-17 19:09:51.000,1.18.1,41.0,nemo-toolkit,,,,['pytorch'],,,https://pypi.org/project/nemo-toolkit,,,41372.0,42281.0,,,,,,,,2.0,40010.0,,,,,,,,,,,,,,,,,, +160,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-05-24 09:01:24.000000,2023-05-23 13:23:50,703.0,74.0,602.0,262.0,908.0,223.0,298.0,6670.0,Build and manage real-life data science projects with ease!.,71.0,33,True,2023-05-22 16:17:55.000,2.9.2,82.0,metaflow,conda-forge/metaflow,,,,476.0,476.0,https://pypi.org/project/metaflow,,,133615.0,136616.0,https://anaconda.org/conda-forge/metaflow,2023-05-22 19:48:12.369,123044.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +161,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2023-05-24 16:04:40.000000,2023-05-09 18:55:52,1280.0,31.0,841.0,156.0,1612.0,177.0,780.0,6648.0,An open source python library for automated feature engineering.,69.0,33,True,2023-04-27 21:53:02.690,1.26.0,101.0,featuretools,conda-forge/featuretools,,,,1412.0,1338.0,https://pypi.org/project/featuretools,2023-01-31 22:28:41.726,74.0,51221.0,53992.0,https://anaconda.org/conda-forge/featuretools,2023-05-01 16:46:44.687,146908.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +162,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-03-31 20:54:33.000000,2023-03-31 20:54:05,2943.0,3.0,1855.0,201.0,206.0,9.0,1343.0,6271.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,33,True,2020-04-24 19:01:06.000,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1325.0,1278.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000,47.0,15104.0,15599.0,https://anaconda.org/conda-forge/tensorpack,2022-02-06 19:35:57.930,9379.0,,,,,2.0,150.0,,,,,,,,,,,,,,,,,, +163,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2022-10-17 02:32:13.000000,2022-10-17 02:18:00,30611.0,,1321.0,292.0,6586.0,12.0,2030.0,5800.0,A flexible framework of neural networks for deep learning.,325.0,33,True,2022-06-29 08:19:03.000,7.8.1.post1,100.0,chainer,conda-forge/chainer,,,,3026.0,3026.0,https://pypi.org/project/chainer,,,16022.0,16379.0,https://anaconda.org/conda-forge/chainer,2022-01-21 17:09:00.786,13956.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +164,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-05-25 11:33:26.000000,2023-05-25 11:33:25,2109.0,111.0,582.0,83.0,211.0,341.0,462.0,4425.0,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",78.0,33,True,2023-05-09 16:27:02.000,1.10.4-fix,124.0,clearml,,allegroai/trains,,,568.0,554.0,https://pypi.org/project/clearml,2023-01-25 17:36:00.225,14.0,225624.0,226288.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30170.0,2.0,1094.0,,,,,,,,,,,,,,,,,, +165,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2023-05-24 20:00:42.000000,2023-05-23 20:10:53,11448.0,183.0,978.0,95.0,1176.0,107.0,697.0,3703.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",127.0,33,True,2023-04-21 19:47:55.000,1.14.1,52.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,372.0,362.0,https://pypi.org/project/adversarial-robustness-toolbox,2023-02-16 12:42:01.376,10.0,26205.0,26968.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-04-21 21:37:15.160,25953.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +166,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-05-23 13:12:12.000000,2023-05-11 04:40:09,1039.0,18.0,495.0,113.0,708.0,218.0,946.0,3340.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",151.0,33,True,2023-04-03 16:30:55.879,6.3.0,42.0,coremltools,conda-forge/coremltools,,,,3264.0,3103.0,https://pypi.org/project/coremltools,2022-11-15 05:40:01.465,161.0,157785.0,159413.0,https://anaconda.org/conda-forge/coremltools,2021-10-15 05:58:32.248,47562.0,,,,,2.0,6417.0,,,,,,,,,,,,,,,,,, +167,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-05-25 12:24:36.000000,2023-05-20 01:04:16,3793.0,45.0,494.0,55.0,852.0,329.0,926.0,3123.0,A highly efficient implementation of Gaussian Processes in PyTorch.,119.0,33,True,2023-04-14 21:01:02.000,1.10,37.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1372.0,1304.0,https://pypi.org/project/gpytorch,2023-01-04 22:57:01.843,68.0,221130.0,223676.0,https://anaconda.org/conda-forge/gpytorch,2023-04-15 22:57:00.443,96758.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +168,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,,2013-03-21 18:43:22.000,2023-05-25 13:54:51.000000,2023-05-25 13:54:51,7219.0,64.0,591.0,118.0,1113.0,294.0,1083.0,3062.0,High-performance interactive 2D/3D data visualization library.,186.0,33,False,2023-05-17 15:53:12.000,0.13.0,33.0,vispy,conda-forge/vispy,,,['jupyter'],1142.0,1142.0,https://pypi.org/project/vispy,,,67121.0,72891.0,https://anaconda.org/conda-forge/vispy,2023-05-13 01:53:29.641,386202.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,,,6.0,,,,,,,,,,, +169,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2023-05-24 16:23:53.000000,2023-05-24 16:23:53,1423.0,20.0,364.0,94.0,668.0,135.0,417.0,2978.0,Quickly and accurately render even the largest data.,53.0,33,True,2023-02-02 14:26:33.000,0.14.4,34.0,datashader,conda-forge/datashader,,,,2471.0,2355.0,https://pypi.org/project/datashader,2023-02-02 14:10:02.142,116.0,51804.0,60474.0,https://anaconda.org/conda-forge/datashader,2023-02-02 21:57:55.937,572270.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +170,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-05-24 20:57:24.000000,2023-05-24 20:57:23,1332.0,98.0,410.0,49.0,661.0,62.0,416.0,2954.0,NeuralProphet: A simple forecasting package.,39.0,33,True,2023-04-26 02:00:02.000,0.6.0,24.0,neuralprophet,,,,['pytorch'],240.0,238.0,https://pypi.org/project/neuralprophet,2023-01-15 17:28:00.546,2.0,166438.0,166438.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +171,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-05-25 12:13:56.000000,2023-05-24 01:59:05,1542.0,86.0,318.0,51.0,1266.0,63.0,341.0,2635.0,Bayesian optimization in PyTorch.,92.0,33,True,2023-05-08 17:51:17.784,0.8.5,37.0,botorch,conda-forge/botorch,,,['pytorch'],574.0,544.0,https://pypi.org/project/botorch,2023-01-06 00:44:02.633,30.0,209536.0,211612.0,https://anaconda.org/conda-forge/botorch,2023-05-08 21:52:04.264,68514.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +172,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2023-05-17 08:52:33.000000,2021-10-12 13:32:38,1570.0,,466.0,64.0,527.0,243.0,389.0,2594.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,4278.0,4278.0,https://pypi.org/project/scikit-optimize,,,513434.0,522555.0,https://anaconda.org/conda-forge/scikit-optimize,2021-12-15 05:01:56.230,638511.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +173,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-05-22 21:34:13.000000,2023-05-22 20:39:14,2215.0,24.0,686.0,85.0,194.0,180.0,455.0,2509.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",138.0,33,True,2023-03-23 15:26:04.197,0.16.0,43.0,tf-agents,,,,['tensorflow'],1168.0,1163.0,https://pypi.org/project/tf-agents,2022-12-03 21:39:32.608,5.0,111902.0,111902.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +174,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2023-05-25 10:59:23.000000,2023-05-25 10:59:22,2241.0,20.0,526.0,71.0,470.0,246.0,663.0,2101.0,Survival analysis in Python.,107.0,33,True,2023-05-01 16:16:01.635,0.27.7,168.0,lifelines,conda-forge/lifelines,,,,1714.0,1590.0,https://pypi.org/project/lifelines,2022-11-17 04:08:00.930,124.0,389465.0,392601.0,https://anaconda.org/conda-forge/lifelines,2023-05-02 11:43:11.299,260330.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +175,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-05-24 23:03:56.000000,2023-05-24 20:10:35,2406.0,136.0,255.0,67.0,1102.0,51.0,491.0,2075.0,Adaptive Experimentation Platform.,144.0,33,True,2023-05-08 20:46:03.548,0.3.2,35.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],496.0,472.0,https://pypi.org/project/ax-platform,2023-03-01 17:14:00.974,24.0,133900.0,134301.0,https://anaconda.org/conda-forge/ax-platform,2023-05-17 12:52:51.084,9224.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +176,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2023-05-24 18:18:15.000000,2023-05-21 21:18:46,3635.0,24.0,186.0,51.0,1314.0,124.0,690.0,1892.0,Ahead of Time compiler for numeric kernels.,70.0,33,True,2023-05-02 20:06:11.980,0.12.2,57.0,pythran,conda-forge/pythran,,,,862.0,840.0,https://pypi.org/project/pythran,2023-01-15 07:55:46.624,22.0,288942.0,295003.0,https://anaconda.org/conda-forge/pythran,2023-05-08 09:35:31.781,363677.0,,,,,2.0,,,,,,,,,,,,,,,,,pythran,python-pythran, +177,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-05-20 11:26:56.000000,2023-05-20 11:21:10,1071.0,3.0,224.0,35.0,241.0,41.0,268.0,1364.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,33,True,2023-03-15 20:50:50.683,2.0.3,43.0,pmdarima,conda-forge/pmdarima,,,,5406.0,5332.0,https://pypi.org/project/pmdarima,2022-11-28 13:52:23.831,74.0,1636544.0,1655305.0,https://anaconda.org/conda-forge/pmdarima,2023-03-19 11:00:48.221,581591.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +178,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-03-06 11:41:24.000000,2023-03-05 16:58:56,1817.0,1.0,197.0,29.0,205.0,24.0,375.0,1285.0,The ctypes-based simple ImageMagick binding for Python.,102.0,33,True,2023-01-05 13:25:52.000,0.6.11,54.0,wand,conda-forge/wand,,,,16609.0,15899.0,https://pypi.org/project/wand,2023-01-05 13:11:36.729,710.0,708501.0,709313.0,https://anaconda.org/conda-forge/wand,2022-08-22 21:57:19.809,24456.0,,,,,2.0,14546.0,,,,,,,,,,,,,,,,,, +179,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-05-20 21:34:04.000000,2023-05-20 21:34:03,2776.0,53.0,337.0,56.0,1037.0,328.0,838.0,1223.0,Cartopy - a cartographic python library with matplotlib support.,122.0,33,False,2022-12-12 22:24:06.347,0.21.1,28.0,cartopy,conda-forge/cartopy,,,,3755.0,3358.0,https://pypi.org/project/cartopy,2022-12-12 22:24:06.347,397.0,78117.0,112093.0,https://anaconda.org/conda-forge/cartopy,2023-03-18 00:21:28.463,2921960.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +180,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2023-05-22 20:23:26.000000,2023-05-22 20:23:24,2576.0,70.0,240.0,35.0,174.0,39.0,449.0,1108.0,Python interface for igraph.,71.0,33,False,2023-01-28 13:30:00.570,0.10.4,34.0,python-igraph,conda-forge/igraph,,,,2191.0,1781.0,https://pypi.org/project/python-igraph,2023-01-28 13:30:00.570,410.0,243015.0,255751.0,https://anaconda.org/conda-forge/igraph,2023-04-21 20:31:42.093,414280.0,,,,,1.0,560966.0,,,,,,,,,,,,,,,,,, +181,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,,2011-01-09 19:02:23.000,2023-05-24 16:32:51.000000,2023-05-24 16:32:51,9862.0,123.0,503.0,73.0,1964.0,264.0,1508.0,990.0,Machine learning for NeuroImaging in Python.,213.0,33,False,2023-04-28 09:19:30.000,0.10.1,21.0,nilearn,conda-forge/nilearn,,,['sklearn'],2251.0,2251.0,https://pypi.org/project/nilearn,,,36853.0,39531.0,https://anaconda.org/conda-forge/nilearn,2023-05-02 11:46:33.914,224557.0,,,,,2.0,115.0,,,,,,,,,,,,,,,,,, +182,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2023-05-25 14:33:28.000000,2023-05-25 12:33:32,1319.0,56.0,159.0,29.0,1087.0,76.0,143.0,972.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,73.0,33,True,2023-05-04 11:41:59.000,2023.1.1,19.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],6270.0,6256.0,https://pypi.org/project/scikit-learn-intelex,2023-01-23 12:22:01.687,14.0,122408.0,129150.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-04-26 14:03:27.677,168563.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +183,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2023-05-25 12:58:01.000000,2023-05-24 08:41:33,973.0,65.0,213.0,51.0,914.0,102.0,371.0,906.0,All the open source things related to the Hugging Face Hub.,94.0,33,True,2023-04-25 14:48:41.000,0.14.1,68.0,huggingface_hub,conda-forge/huggingface_hub,,,,256.0,,https://pypi.org/project/huggingface_hub,2023-01-25 17:14:55.240,256.0,11786127.0,11827433.0,https://anaconda.org/conda-forge/huggingface_hub,2023-04-25 18:08:33.394,1115265.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +184,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-05-25 14:00:08.000000,2023-05-24 17:55:58,10718.0,255.0,227.0,60.0,11042.0,89.0,2039.0,881.0,Cloud-native genomic dataframes and batch computing.,86.0,33,True,2023-05-23 16:55:39.717,0.2.117,137.0,hail,,,,['spark'],119.0,104.0,https://pypi.org/project/hail,2023-01-17 19:54:01.500,15.0,45816.0,45816.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +185,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-05-25 12:58:27.000000,2023-05-25 08:42:34,2379.0,348.0,3456.0,319.0,2609.0,282.0,776.0,29778.0,"Making large AI models cheaper, faster and more accessible.",132.0,32,True,2023-05-25 08:26:34.000,0.3.0,30.0,,,,,,232.0,232.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +186,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-02-14 17:14:33.000000,2020-10-14 16:36:49,6226.0,,4579.0,1001.0,1867.0,355.0,658.0,16149.0,"Zipline, a Pythonic Algorithmic Trading Library.",159.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1018.0,933.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,85.0,3537.0,3756.0,https://anaconda.org/conda-forge/zipline,2020-10-05 18:38:58.729,7038.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +187,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-05-21 15:48:48.000000,2023-05-17 14:42:09,764.0,5.0,4321.0,419.0,415.0,333.0,1669.0,15907.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,165.0,32,True,2023-05-17 14:46:25.000,1.1.3-patched,14.0,fbprophet,conda-forge/prophet,,,,,,https://pypi.org/project/fbprophet,,,1287342.0,1313799.0,https://anaconda.org/conda-forge/prophet,2023-01-21 14:54:27.313,660900.0,,,,,2.0,1565.0,,,,,,,,,,,,,,,,,, +188,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-02-25 09:02:42.000000,2021-11-29 19:55:31,1571.0,,1125.0,348.0,1681.0,494.0,1294.0,11026.0,Turi Create simplifies the development of custom machine learning models.,85.0,32,False,2020-09-30 22:44:07.000,6.4.1,30.0,turicreate,,,,,354.0,354.0,https://pypi.org/project/turicreate,,,22377.0,22506.0,,,,,,,,3.0,8439.0,,,,,,,,,,,,,,,,,, +189,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-05-25 13:40:14.000000,2023-05-22 07:14:41,2138.0,27.0,2557.0,186.0,3480.0,1003.0,3792.0,10522.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",139.0,32,True,2023-02-23 03:25:22.000,2.6.0,8.0,paddledet,,,,['paddle'],84.0,84.0,https://pypi.org/project/paddledet,,,761.0,761.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +190,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-05-25 10:14:50.000000,2023-05-25 06:24:29,952.0,245.0,650.0,139.0,1032.0,205.0,393.0,6952.0,Development repository for the Triton language and compiler.,115.0,32,True,,,,triton,,,,,2884.0,2884.0,https://pypi.org/project/triton,,,2938668.0,2938668.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +191,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2023-05-24 18:52:14.000000,2023-05-11 15:53:52,1012.0,30.0,1343.0,100.0,75.0,19.0,677.0,6393.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",41.0,32,True,2023-02-23 10:07:02.320,0.0.79,78.0,deepface,,,,,1469.0,1457.0,https://pypi.org/project/deepface,2023-01-24 23:15:00.809,12.0,55632.0,55632.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +192,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2023-05-03 11:58:37.000000,2023-05-03 11:55:04,1112.0,16.0,600.0,67.0,111.0,49.0,405.0,5264.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",33.0,32,True,2023-05-03 11:58:37.000,2.1.1,54.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],671.0,671.0,https://pypi.org/project/pytorch-metric-learning,,,194206.0,194461.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2022-11-01 23:17:24.322,10227.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +193,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2023-05-25 13:38:03.000000,2023-05-25 13:38:03,2241.0,5.0,1054.0,192.0,214.0,263.0,268.0,5125.0,Distributed Evolutionary Algorithms in Python.,81.0,32,False,2022-08-08 11:13:02.278,1.3.3,21.0,deap,conda-forge/deap,,,,3979.0,3614.0,https://pypi.org/project/deap,2022-08-08 11:13:02.278,365.0,156880.0,160350.0,https://anaconda.org/conda-forge/deap,2022-10-29 13:22:14.841,288058.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +194,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-05-24 20:04:16.000000,2023-05-24 19:53:02,3629.0,73.0,462.0,84.0,465.0,8.0,412.0,4239.0,Online machine learning in Python.,96.0,32,True,2023-05-10 13:12:23.000,0.16.0,9.0,river,conda-forge/river,,,,292.0,292.0,https://pypi.org/project/river,,,11644.0,13173.0,https://anaconda.org/conda-forge/river,2022-10-31 03:47:59.947,38240.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +195,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-05-24 20:46:50.000000,2023-05-23 17:55:03,1008.0,5.0,418.0,213.0,694.0,140.0,308.0,3953.0,Model interpretability and understanding for PyTorch.,101.0,32,True,2022-12-28 01:14:50.000,0.6.0,8.0,captum,conda-forge/captum,,,['pytorch'],1216.0,1216.0,https://pypi.org/project/captum,,,128079.0,128752.0,https://anaconda.org/conda-forge/captum,2023-02-15 03:32:14.724,11454.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +196,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2023-04-28 03:05:39.000000,2023-03-16 07:00:43,900.0,2.0,686.0,86.0,173.0,89.0,583.0,3498.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",43.0,32,True,2023-02-22 13:15:05.000,72,68.0,opencv-python,,,,,10584.0,,https://pypi.org/project/opencv-python,2023-01-02 16:45:50.857,10584.0,7857365.0,7857365.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +197,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-05-25 07:23:24.000000,2023-05-22 18:40:19,3400.0,69.0,735.0,53.0,1089.0,274.0,1024.0,3482.0,"Serve, optimize and scale PyTorch models in production.",157.0,32,True,2023-05-12 23:01:33.000,0.8.0,19.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],12.0,,https://pypi.org/project/torchserve,2022-12-12 19:04:32.462,12.0,33916.0,62023.0,https://anaconda.org/pytorch/torchserve,2023-05-12 18:23:26.476,83345.0,https://hub.docker.com/r/pytorch/torchserve,2023-05-12 19:35:02.704115,17.0,1107565.0,2.0,3641.0,,,,,,,,,,,,,,,,,, +198,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2023-05-12 16:24:48.000000,2023-04-22 23:50:07,1033.0,42.0,363.0,65.0,438.0,190.0,256.0,2719.0,A Hyperparameter Tuning Library for Keras.,56.0,32,True,2023-04-13 04:21:57.000,1.3.5,23.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],2325.0,2325.0,https://pypi.org/project/keras-tuner,,,290778.0,291270.0,https://anaconda.org/conda-forge/keras-tuner,2023-04-13 17:14:35.253,18705.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +199,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-05-23 00:06:16.000000,2023-05-23 00:06:16,1227.0,44.0,256.0,53.0,193.0,62.0,370.0,2675.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,33.0,32,True,2022-03-31 21:23:48.000,1.11.1,27.0,stumpy,conda-forge/stumpy,,,,458.0,444.0,https://pypi.org/project/stumpy,2022-03-31 21:23:48.000,14.0,166062.0,177237.0,https://anaconda.org/conda-forge/stumpy,2022-03-31 21:30:16.208,536430.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +200,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-05-20 22:40:37.000000,2023-04-20 03:41:53,699.0,5.0,223.0,38.0,780.0,64.0,280.0,2311.0,PyTorch extensions for high performance and large scale training.,72.0,32,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],2135.0,2086.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,49.0,452127.0,459052.0,https://anaconda.org/conda-forge/fairscale,2022-12-12 02:08:24.604,124654.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +201,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-05-15 18:19:21.000000,2023-04-03 00:19:55,1816.0,75.0,245.0,91.0,121.0,29.0,230.0,2060.0,"NLP, before and after spaCy.",34.0,32,False,2023-04-02 22:46:00.000,0.13.0,29.0,textacy,conda-forge/textacy,,,,1444.0,1444.0,https://pypi.org/project/textacy,,,143438.0,145230.0,https://anaconda.org/conda-forge/textacy,2023-03-09 02:34:37.452,129058.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +202,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-05-25 10:04:54.000000,2023-05-23 08:28:24,5088.0,119.0,666.0,92.0,5072.0,119.0,772.0,1957.0,TFX is an end-to-end platform for deploying production ML pipelines.,174.0,32,True,2023-05-03 18:43:05.000,1.13.0,93.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,2022-12-19 18:20:02.734,14.0,142133.0,142133.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +203,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-04-10 22:19:05.000000,2023-04-10 22:19:05,514.0,66.0,152.0,42.0,66.0,8.0,115.0,1857.0,a python library for doing approximate and phonetic matching of strings.,29.0,32,True,,,10.0,jellyfish,conda-forge/jellyfish,,,,5999.0,5999.0,https://pypi.org/project/jellyfish,,,1811705.0,1818847.0,https://anaconda.org/conda-forge/jellyfish,2022-10-28 08:39:19.681,571435.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +204,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-04-29 01:50:03.716000,2023-04-24 15:04:32,275.0,4.0,355.0,55.0,75.0,78.0,98.0,1711.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,39.0,32,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5113.0,4959.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000,154.0,484787.0,485918.0,https://anaconda.org/conda-forge/pyldavis,2023-04-29 01:50:03.716,66778.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +205,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapter-transformers,https://github.com/adapter-hub/adapter-transformers,Apache-2.0,2020-04-21 16:21:43.000,2023-05-22 12:35:33.000000,2023-05-22 12:29:35,12581.0,16.0,264.0,22.0,243.0,50.0,257.0,1614.0,Huggingface Transformers + Adapters =.,1713.0,32,True,2023-04-06 21:17:41.000,adapters3.2.1,14.0,adapter-transformers,,,,['huggingface'],169.0,169.0,https://pypi.org/project/adapter-transformers,,,19604.0,19604.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +206,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2022-08-17 17:00:40.000000,2018-10-12 15:53:05,1251.0,,271.0,51.0,153.0,99.0,217.0,1531.0,Python Geocoder.,73.0,32,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,7550.0,7039.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000,511.0,647056.0,648702.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469,123512.0,,,,,2.0,,,,,,,,,,,,,,,,,,,geocoder +207,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2023-05-25 14:28:31.000000,2023-05-25 00:04:15,803.0,14.0,310.0,124.0,751.0,186.0,158.0,1401.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",79.0,32,True,2023-04-04 04:00:56.071,0.7.4,29.0,tensorflow-model-optimization,,,,['tensorflow'],2851.0,2821.0,https://pypi.org/project/tensorflow-model-optimization,2022-07-21 14:40:44.572,30.0,295864.0,295864.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +208,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2023-03-24 10:26:16.000000,2023-02-10 13:49:02,1145.0,,351.0,64.0,563.0,232.0,334.0,1370.0,A Jupyter - Leaflet.js bridge.,82.0,32,True,2022-10-19 07:57:17.000,0.17.2,76.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],4557.0,4407.0,https://pypi.org/project/ipyleaflet,2022-10-19 07:45:44.840,145.0,149237.0,202557.0,https://anaconda.org/conda-forge/ipyleaflet,2022-10-19 12:34:41.863,1010931.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2022-10-19 07:43:02.682,5.0,41286.0,,,,,,,,,,, +209,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2023-05-24 13:13:53.000000,2023-05-24 13:13:52,890.0,25.0,202.0,59.0,97.0,37.0,167.0,957.0,Input pipeline framework.,27.0,32,True,2023-04-13 22:32:01.919,1.13.0,55.0,tensorflow-transform,,,,['tensorflow'],1398.0,1342.0,https://pypi.org/project/tensorflow-transform,2022-12-08 21:21:59.948,56.0,772265.0,772265.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +210,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-05-25 13:10:17.000000,2023-05-25 13:10:16,33369.0,490.0,11712.0,948.0,22645.0,,,21284.0,Apache Flink Python API.,1729.0,31,True,,,,apache-flink,,,,,,,https://pypi.org/project/apache-flink,,,50220.0,50220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +211,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2023-05-11 07:42:20.000000,2023-05-01 17:35:06,1420.0,1.0,3721.0,774.0,1128.0,373.0,587.0,18489.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,31,True,2022-08-01 18:23:00.243,2.1.4,67.0,magenta,,,,['tensorflow'],477.0,439.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,38.0,6995.0,6995.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +212,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-05-24 10:14:05.000000,2023-05-22 15:28:08,4291.0,71.0,1506.0,165.0,487.0,26.0,559.0,11861.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",127.0,31,True,2023-05-16 08:09:27.000,0.14.0,54.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",,,https://pypi.org/project/tts,,,22659.0,56491.0,https://anaconda.org/conda-forge/tts,2021-12-15 19:29:56.367,8041.0,,,,,2.0,868659.0,,,,,,,,,,,,,,,,,, +213,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-04-21 11:09:36.000000,2023-03-28 11:49:55,2665.0,1.0,2031.0,184.0,996.0,544.0,690.0,11752.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,31,True,2022-11-28 08:29:05.000,2.3.1,29.0,paddlehub,,,,['paddle'],1273.0,1273.0,https://pypi.org/project/paddlehub,,,6316.0,6328.0,,,,,,,,2.0,618.0,,,,,,,,,,,,,,,,,, +214,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2023-02-23 15:39:15.000000,2023-02-23 15:39:10,857.0,,1265.0,426.0,79.0,30.0,156.0,9569.0,TensorFlow-based neural network library.,56.0,31,True,2020-03-27 10:36:19.000,2.0.0,13.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1065.0,1065.0,https://pypi.org/project/dm-sonnet,,,21192.0,21736.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843,22848.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +215,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-05-23 07:00:00.000000,2023-05-05 06:41:10,2800.0,124.0,1818.0,178.0,343.0,140.0,463.0,7377.0,FinRL: Financial Reinforcement Learning.,94.0,31,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,20.0,20.0,https://pypi.org/project/finrl,2022-07-25 13:29:00.262,,1977.0,1977.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +216,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-05-12 15:04:27.000000,2023-05-01 09:51:59,535.0,4.0,1119.0,164.0,413.0,61.0,463.0,7365.0,Automatic extraction of relevant features from time series:.,85.0,31,True,2023-01-02 17:33:26.842,0.20.0,29.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],73.0,,https://pypi.org/project/tsfresh,2023-01-02 17:33:26.842,73.0,212863.0,226002.0,https://anaconda.org/conda-forge/tsfresh,2022-12-31 04:32:34.503,867180.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +217,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-04-18 11:41:02.000000,2023-04-18 11:08:13,2759.0,1.0,1196.0,213.0,695.0,150.0,823.0,6958.0,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,35.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],450.0,450.0,https://pypi.org/project/auto-sklearn,,,31846.0,32498.0,https://anaconda.org/conda-forge/auto-sklearn,2022-09-21 23:06:55.991,16316.0,,,,,2.0,43.0,,,,,,,,,,,,,,,,,, +218,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,,2017-09-26 08:00:56.000,2023-05-24 20:03:44.000000,2023-03-14 16:10:05,3603.0,39.0,825.0,143.0,436.0,78.0,711.0,6644.0,Official Stanford NLP Python Library for Many Human Languages.,58.0,31,False,2023-03-14 05:09:33.000,1.5.0,16.0,stanza,stanfordnlp/stanza,,,,1831.0,1831.0,https://pypi.org/project/stanza,,,158110.0,158281.0,https://anaconda.org/stanfordnlp/stanza,2023-03-24 23:37:42.794,6499.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +219,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-05-25 12:00:31.000000,2023-05-23 09:17:00,1012.0,66.0,657.0,50.0,769.0,223.0,805.0,5910.0,A python library for user-friendly forecasting and anomaly detection on time series.,90.0,31,True,2023-04-12 14:14:00.533,0.24.0,35.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,279.0,273.0,https://pypi.org/project/u8darts,2023-01-12 12:53:02.898,6.0,14835.0,16119.0,https://anaconda.org/conda-forge/u8darts-all,2023-04-12 19:12:26.863,28128.0,https://hub.docker.com/r/unit8/darts,2023-04-12 13:39:19.584706,,383.0,2.0,,,,,,,,,,,,,,,,,,, +220,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-05-24 16:33:04.000000,2023-05-22 13:59:44,1049.0,17.0,346.0,81.0,489.0,50.0,426.0,5155.0,A scikit-learn compatible neural network library that wraps PyTorch.,58.0,31,True,2023-05-17 10:20:33.000,0.13.0,17.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",905.0,857.0,https://pypi.org/project/skorch,2022-11-18 12:33:08.762,48.0,41623.0,55371.0,https://anaconda.org/conda-forge/skorch,2023-05-19 10:19:53.639,769902.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +221,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-04-07 02:29:54.000000,2020-07-15 13:46:58,1184.0,,1590.0,305.0,292.0,152.0,265.0,4983.0,Portfolio and risk analytics in Python.,58.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,829.0,795.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,10189.0,10372.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267,11568.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +222,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-05-04 12:21:21.000000,2023-05-04 11:45:28,917.0,7.0,634.0,148.0,785.0,141.0,347.0,4609.0,Deep Learning Visualization Toolkit.,32.0,31,True,2023-03-03 04:46:06.678,2.5.1,42.0,visualdl,,,,['paddle'],2061.0,2022.0,https://pypi.org/project/visualdl,2023-01-17 11:38:01.856,39.0,121448.0,121456.0,,,,,,,,2.0,296.0,,,,,,,,,,,,,,,,,, +223,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-05-20 12:35:31.000000,2023-04-30 18:36:20,483.0,20.0,661.0,93.0,206.0,137.0,354.0,4348.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,31,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1148.0,1101.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000,47.0,324336.0,326743.0,https://anaconda.org/conda-forge/lightfm,2023-03-24 09:32:34.243,154104.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +224,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-05-25 14:08:49.000000,2023-05-25 14:08:49,1581.0,40.0,596.0,59.0,1716.0,153.0,1096.0,4274.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,194.0,31,True,2023-05-01 08:27:00.908,0.4.12,1269.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],39.0,,https://pypi.org/project/pytorch-ignite,2022-11-08 00:18:55.000,39.0,128683.0,131060.0,https://anaconda.org/pytorch/ignite,2023-05-01 08:26:51.879,140260.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +225,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-05-24 18:21:20.000000,2023-05-23 20:53:18,1330.0,99.0,697.0,70.0,1627.0,264.0,598.0,3567.0,Probabilistic time series modeling in Python.,105.0,31,True,2023-05-24 11:50:41.242,0.13.1,90.0,gluonts,anaconda/gluonts,,,['mxnet'],14.0,,https://pypi.org/project/gluonts,2022-06-30 19:47:56.000,14.0,127659.0,127676.0,https://anaconda.org/anaconda/gluonts,2021-10-14 12:53:07.201,331.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +226,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-05-25 04:53:27.000000,2023-04-06 11:04:27,1124.0,48.0,638.0,59.0,993.0,99.0,715.0,3419.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",78.0,31,True,2023-04-06 11:05:25.000,1.0.0,19.0,mmocr,,,,['pytorch'],52.0,52.0,https://pypi.org/project/mmocr,,,9493.0,9493.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +227,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-05-25 13:32:21.000000,2023-05-16 19:03:37,1284.0,31.0,765.0,264.0,1422.0,240.0,506.0,3300.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",149.0,31,True,2023-05-08 19:49:25.000,0.15.2,24.0,torchtext,,,,['pytorch'],,,https://pypi.org/project/torchtext,,,1175843.0,1175843.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +228,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-05-25 12:22:50.000000,2023-05-22 17:51:35,969.0,34.0,567.0,101.0,326.0,10.0,702.0,3104.0,"Fast, flexible and easy to use probabilistic modelling in Python.",68.0,31,True,2023-04-16 07:29:15.000,1.0.0,70.0,pomegranate,conda-forge/pomegranate,,,,984.0,930.0,https://pypi.org/project/pomegranate,2022-02-21 06:50:33.000,54.0,31394.0,34067.0,https://anaconda.org/conda-forge/pomegranate,2022-09-19 21:08:05.664,122986.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +229,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-05-21 18:07:26.000000,2023-02-05 22:03:50,437.0,,447.0,63.0,184.0,161.0,137.0,3013.0,Header-only C++/python library for fast approximate nearest neighbors.,65.0,31,True,2023-02-07 20:10:08.000,0.7.0,10.0,hnswlib,conda-forge/hnswlib,,,,1123.0,1080.0,https://pypi.org/project/hnswlib,2022-02-14 22:34:58.000,43.0,798298.0,801214.0,https://anaconda.org/conda-forge/hnswlib,2023-02-07 21:30:59.590,84577.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +230,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-04-19 02:58:40.728000,2023-04-18 19:00:21,461.0,7.0,727.0,118.0,110.0,55.0,361.0,2772.0,"Hidden Markov Models in Python, with scikit-learn like API.",44.0,31,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1976.0,1836.0,https://pypi.org/project/hmmlearn,2022-09-26 20:05:34.581,140.0,204300.0,207563.0,https://anaconda.org/conda-forge/hmmlearn,2023-04-19 02:58:40.728,176205.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +231,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-05-23 15:02:56.000000,2023-05-22 20:15:37,1135.0,36.0,170.0,23.0,277.0,69.0,96.0,2577.0,Lightning fast forecasting with statistical and econometric models.,21.0,31,True,2023-02-28 19:28:00.449,1.5.0,26.0,statsforecast,conda-forge/statsforecast,,,,296.0,279.0,https://pypi.org/project/statsforecast,2022-12-01 04:10:47.608,17.0,338237.0,340860.0,https://anaconda.org/conda-forge/statsforecast,2023-03-09 15:13:56.487,36727.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +232,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2023-05-25 13:33:43.000000,2023-05-25 13:33:38,893.0,41.0,207.0,40.0,440.0,90.0,157.0,2493.0,JAX-based neural network library.,74.0,31,True,2022-11-16 12:15:37.678,0.0.9,12.0,dm-haiku,conda-forge/dm-haiku,,,,1322.0,1256.0,https://pypi.org/project/dm-haiku,2022-11-16 12:15:37.678,66.0,128508.0,128906.0,https://anaconda.org/conda-forge/dm-haiku,2022-09-21 19:38:58.042,10760.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +233,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2023-05-21 08:22:55.413000,2023-03-24 16:56:01,1602.0,3.0,315.0,59.0,151.0,107.0,186.0,2491.0,A machine learning toolkit dedicated to time-series data.,41.0,31,True,2023-01-20 13:21:39.000,0.5.3.2,96.0,tslearn,conda-forge/tslearn,,,['sklearn'],868.0,826.0,https://pypi.org/project/tslearn,2023-01-20 13:26:34.462,42.0,236898.0,250331.0,https://anaconda.org/conda-forge/tslearn,2023-05-21 08:22:55.413,832852.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +234,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2023-03-22 19:43:04.000000,2022-11-10 18:59:22,964.0,,443.0,56.0,126.0,319.0,162.0,2445.0,A high performance implementation of HDBSCAN clustering.,81.0,31,True,2022-10-31 20:21:51.000,0.8.29-1,45.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],2446.0,2254.0,https://pypi.org/project/hdbscan,2022-10-31 17:25:01.906,192.0,444229.0,463146.0,https://anaconda.org/conda-forge/hdbscan,2023-02-05 19:19:05.978,1551257.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +235,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2023-05-18 07:56:25.000000,2023-05-18 07:56:25,2819.0,87.0,962.0,122.0,463.0,53.0,289.0,2416.0,IPython Parallel: Interactive Parallel Computing in Python.,112.0,31,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],295.0,,https://pypi.org/project/ipyparallel,2022-06-20 10:37:35.000,295.0,158115.0,167940.0,https://anaconda.org/conda-forge/ipyparallel,2023-04-14 13:49:01.099,835153.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +236,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-05-17 05:24:44.000000,2023-05-17 05:24:43,2875.0,12.0,668.0,77.0,810.0,240.0,599.0,2364.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",116.0,31,True,2023-04-08 06:38:26.000,0.1.22,21.0,pgmpy,,,,,656.0,632.0,https://pypi.org/project/pgmpy,2023-01-02 18:14:12.632,24.0,59451.0,59457.0,,,,,,,,2.0,235.0,,,,,,,,,,,,,,,,,, +237,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-05-25 14:32:05.000000,2023-05-25 11:03:19,1952.0,541.0,181.0,20.0,1745.0,205.0,919.0,1970.0,Argilla: the open-source data curation platform for LLMs.,48.0,31,True,2023-05-10 13:42:53.000,1.7.0,82.0,rubrix,conda-forge/rubrix,,,,487.0,487.0,https://pypi.org/project/rubrix,,,803.0,2085.0,https://anaconda.org/conda-forge/rubrix,2022-10-06 03:07:26.056,21800.0,,,,,2.0,,,,,,,,,,,,argilla-io/argilla,,,,,,, +238,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-05-25 14:07:08.000000,2023-05-24 18:34:08,3339.0,181.0,455.0,51.0,3219.0,286.0,735.0,1767.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,134.0,31,True,2023-05-01 18:46:01.348,0.30.0,46.0,pennylane,conda-forge/pennylane,,,,56.0,,https://pypi.org/project/pennylane,2023-03-06 18:06:02.679,56.0,28001.0,28722.0,https://anaconda.org/conda-forge/pennylane,2023-05-19 18:43:19.146,12964.0,,,,,2.0,66.0,,,,,,,,,,,,,,,,,, +239,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-05-22 11:06:57.000000,2023-05-03 20:35:27,2433.0,10.0,437.0,76.0,1241.0,142.0,675.0,1731.0,Gaussian processes in TensorFlow.,83.0,31,True,2023-05-04 08:51:41.689,2.8.0,46.0,gpflow,conda-forge/gpflow,,,['tensorflow'],551.0,516.0,https://pypi.org/project/gpflow,2023-01-27 12:45:00.704,35.0,55469.0,55827.0,https://anaconda.org/conda-forge/gpflow,2022-05-24 14:05:38.796,21510.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +240,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2023-05-25 05:21:37.000000,2023-05-25 05:21:36,667.0,32.0,383.0,41.0,54.0,14.0,252.0,1666.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",30.0,31,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,874.0,852.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,28415.0,29155.0,https://anaconda.org/conda-forge/ogb,2023-04-07 09:47:01.451,23700.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +241,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-05-12 10:16:57.000000,2023-05-12 01:01:45,1659.0,45.0,356.0,56.0,90.0,50.0,403.0,1539.0,Reinforcement Learning environments based on the 1993 game Doom.,52.0,31,True,2023-05-12 10:16:57.000,1.2.0,26.0,vizdoom,,,,,199.0,184.0,https://pypi.org/project/vizdoom,2023-01-07 21:18:03.133,15.0,1205.0,1340.0,,,,,,,,1.0,11650.0,,,,,,,,,,,Farama-Foundation/ViZDoom,,,,,,, +242,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2023-05-17 13:59:52.000000,2023-05-17 13:59:52,1767.0,20.0,269.0,45.0,248.0,58.0,183.0,1398.0,TensorLy: Tensor Learning in Python.,60.0,31,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,458.0,414.0,https://pypi.org/project/tensorly,2023-01-14 21:19:00.648,44.0,17364.0,23352.0,https://anaconda.org/conda-forge/tensorly,2023-03-09 18:03:34.129,359307.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +243,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-05-23 12:01:05.000000,2023-05-23 12:01:03,928.0,10.0,144.0,47.0,277.0,76.0,114.0,1356.0,Evaluate: A library for easily evaluating machine learning models and datasets.,118.0,31,True,2022-12-13 13:35:51.000,0.4.0,13.0,evaluate,,,,,2151.0,2089.0,https://pypi.org/project/evaluate,2022-12-13 13:28:07.299,62.0,511080.0,511080.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +244,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2023-05-23 10:59:55.000000,2023-05-23 10:59:54,913.0,3.0,429.0,88.0,192.0,49.0,232.0,1320.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,68.0,31,True,2023-01-27 12:31:39.836,3.1.4,24.0,emcee,conda-forge/emcee,,,,2227.0,1885.0,https://pypi.org/project/emcee,2023-01-27 12:31:39.836,342.0,125512.0,128928.0,https://anaconda.org/conda-forge/emcee,2023-01-27 19:25:06.868,286947.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +245,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-05-23 09:01:00.345000,2023-05-22 14:27:48,1451.0,15.0,150.0,33.0,222.0,,,1249.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",21.0,31,True,2023-05-22 17:47:09.000,1.2.4,37.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1031.0,1031.0,https://pypi.org/project/spacy-transformers,,,262685.0,263511.0,https://anaconda.org/conda-forge/spacy-transformers,2023-05-23 09:01:00.345,14884.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +246,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-05-25 07:20:39.000000,2023-05-24 14:48:08,678.0,157.0,183.0,44.0,741.0,161.0,207.0,1177.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,63.0,31,True,2023-05-18 08:17:43.000,1.8.6,36.0,optimum,conda-forge/optimum,,,,171.0,158.0,https://pypi.org/project/optimum,2023-01-25 17:39:56.550,13.0,107963.0,108521.0,https://anaconda.org/conda-forge/optimum,2022-07-12 18:30:14.167,7260.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +247,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-05-22 19:12:18.000000,2023-05-12 12:25:24,2964.0,79.0,266.0,33.0,37.0,1.0,458.0,1135.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,31,True,2023-05-11 01:08:23.000,0.37.0,197.0,ktrain,,,,['tensorflow'],427.0,424.0,https://pypi.org/project/ktrain,2023-02-03 18:42:29.454,3.0,21848.0,21848.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +248,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2023-05-23 12:03:05.045000,2023-05-23 09:42:21,1064.0,50.0,230.0,43.0,471.0,24.0,166.0,1103.0,ARCH models in Python.,34.0,31,False,2023-05-23 09:44:54.000,6.0.1,42.0,arch,conda-forge/arch-py,,,,977.0,977.0,https://pypi.org/project/arch,,,218536.0,224034.0,https://anaconda.org/conda-forge/arch-py,2023-05-23 12:03:05.045,230933.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +249,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2023-05-25 03:37:51.000000,2023-05-17 22:29:33,3248.0,12.0,239.0,50.0,337.0,70.0,259.0,972.0,"OpenCL integration for Python, plus shiny features.",94.0,31,True,2023-05-09 13:32:37.000,2023.1,90.0,pyopencl,conda-forge/pyopencl,,,,1735.0,1522.0,https://pypi.org/project/pyopencl,2023-01-04 00:34:00.812,213.0,50043.0,61011.0,https://anaconda.org/conda-forge/pyopencl,2023-05-09 18:30:52.786,866544.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +250,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-05-25 12:27:50.000000,2023-05-25 09:21:14,11847.0,327.0,255.0,32.0,1591.0,344.0,560.0,923.0,Python package for earth-observing satellite data processing.,144.0,31,False,2023-05-10 14:31:06.000,0.42.2,56.0,satpy,conda-forge/satpy,,,,96.0,96.0,https://pypi.org/project/satpy,,,5791.0,8326.0,https://anaconda.org/conda-forge/satpy,2023-05-10 21:25:20.809,147073.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +251,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-05-20 22:36:41.000000,2023-05-02 11:40:38,1798.0,49.0,209.0,20.0,272.0,42.0,259.0,719.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",41.0,31,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,840.0,763.0,https://pypi.org/project/salib,2023-01-08 01:14:38.679,77.0,133558.0,135089.0,https://anaconda.org/conda-forge/salib,2023-01-08 04:17:22.342,119477.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +252,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2023-04-24 03:02:04.000000,2023-04-24 02:53:14,938.0,8.0,166.0,37.0,112.0,30.0,51.0,657.0,Snowball compiler and stemming algorithms.,32.0,31,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6789.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6785.0,8611456.0,8692433.0,https://anaconda.org/conda-forge/snowballstemmer,2021-11-17 09:59:16.947,6559188.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +253,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2023-05-25 08:49:06.000000,2023-05-19 15:26:47,151996.0,4115.0,76.0,51.0,1769.0,65.0,275.0,647.0,TensorFlow ROCm port.,4375.0,31,True,2019-10-11 17:16:09.000,2.0.0-rocm,2.0,tensorflow-rocm,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-rocm,,,3304.0,3304.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,, +254,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,,2010-07-22 16:28:30.000,2023-05-14 18:35:53.000000,2023-04-23 14:38:16,5534.0,31.0,240.0,38.0,751.0,98.0,375.0,554.0,Python package to access a cacophony of neuro-imaging file formats.,96.0,31,False,2023-04-03 14:58:34.000,5.1.0,38.0,nibabel,conda-forge/nibabel,,,,11120.0,11120.0,https://pypi.org/project/nibabel,,,245344.0,252247.0,https://anaconda.org/conda-forge/nibabel,2023-04-07 23:15:42.995,579925.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +255,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2023-05-24 23:59:24.000000,2023-05-24 23:52:05,16814.0,133.0,105.0,27.0,3495.0,489.0,3341.0,418.0,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2023-05-16 13:30:40.410,0.18.4,103.0,datalad,conda-forge/datalad,,,,73.0,,https://pypi.org/project/datalad,2023-01-16 11:50:04.895,73.0,8328.0,13841.0,https://anaconda.org/conda-forge/datalad,2023-05-16 15:19:48.874,341862.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +256,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2023-05-23 09:52:12.000000,2022-06-10 09:12:18,238.0,,12636.0,1575.0,217.0,697.0,578.0,48344.0,The worlds simplest facial recognition api for Python and the command line.,54.0,30,True,2018-04-02 17:18:43.000,1.2.2,2.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],,,https://pypi.org/project/face_recognition,,,63483.0,64004.0,https://anaconda.org/conda-forge/face_recognition,2021-04-30 19:06:15.265,16221.0,,,,,2.0,1104.0,,,,,,,,,,,,,,,,,, +257,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-05-17 10:28:53.000000,2023-04-06 12:47:08,530.0,1.0,2458.0,373.0,112.0,188.0,554.0,22595.0,Deezer source separation library including pretrained models.,19.0,30,True,2022-09-07 11:40:35.136,2.3.2,36.0,spleeter,conda-forge/spleeter,,,['tensorflow'],518.0,512.0,https://pypi.org/project/spleeter,2022-09-07 11:40:35.136,6.0,17712.0,74576.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220,75791.0,,,,,2.0,2367587.0,,,,,,,,,,,,,,,,,, +258,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-04-02 11:36:25.000000,2020-01-31 13:06:18,347.0,,4680.0,631.0,370.0,493.0,435.0,14414.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,30,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,530.0,491.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,1676.0,1676.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +259,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000,2023-05-25 12:43:33.000000,2023-05-25 07:41:21,1860.0,313.0,1106.0,191.0,565.0,49.0,170.0,12134.0,You like pytorch? You like micrograd? You love tinygrad!.,107.0,30,True,2023-03-07 02:21:19.000,0.5.0,2.0,,,,,['pytorch'],16.0,16.0,,,,,,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +260,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-04-19 14:14:56.000000,2023-04-19 14:13:08,2404.0,14.0,3254.0,580.0,210.0,41.0,,10740.0,Python Backtesting library for trading strategies.,56.0,30,False,,,157.0,backtrader,,,,,1595.0,1535.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000,60.0,14011.0,14011.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +261,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,,2016-03-31 12:05:53.000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51,613.0,,2315.0,463.0,255.0,551.0,362.0,9589.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,30,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4461.0,4461.0,https://pypi.org/project/tflearn,,,10832.0,10832.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +262,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2023-05-23 21:18:11.000000,2023-05-23 20:21:46,3414.0,42.0,699.0,130.0,141.0,105.0,858.0,8913.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",81.0,30,True,2016-02-17 09:22:48.000,4.0,46.0,ocrmypdf,conda-forge/ocrmypdf,,,,534.0,534.0,https://pypi.org/project/ocrmypdf,,,38560.0,40274.0,https://anaconda.org/conda-forge/ocrmypdf,2023-05-16 14:56:21.254,46300.0,,,,,2.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +263,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-03-03 22:50:09.000000,2023-03-03 22:50:09,374.0,1.0,2059.0,287.0,92.0,295.0,437.0,7769.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,17.0,30,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1367.0,1349.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,18.0,10902.0,25122.0,https://anaconda.org/conda-forge/imageai,2021-04-30 19:03:25.297,5622.0,,,,,2.0,857402.0,,,,,,,,,,,,,,,,,, +264,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-05-24 14:05:50.000000,2023-05-24 03:34:54,1074.0,35.0,1132.0,139.0,140.0,176.0,1134.0,7315.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,122.0,30,False,2023-05-10 15:14:23.000,0.7.4,16.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],472.0,463.0,https://pypi.org/project/pytorch3d,2022-12-19 23:31:53.499,9.0,19126.0,21954.0,https://anaconda.org/pytorch3d/pytorch3d,2023-05-10 15:02:03.519,118776.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +265,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-05-23 17:05:01.000000,2023-05-13 01:04:54,1114.0,27.0,1201.0,101.0,569.0,650.0,505.0,7236.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,115.0,30,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],1732.0,1732.0,,,,,3499.0,https://anaconda.org/conda-forge/nvidia-apex,2023-05-19 10:45:26.365,150470.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +266,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2023-05-24 20:52:33.000000,2023-03-14 17:12:35,2673.0,2.0,1093.0,210.0,1018.0,55.0,572.0,6225.0,An open source library for deep learning end-to-end dialog systems and chatbots.,73.0,30,True,2023-03-14 17:15:26.000,1.1.1,58.0,deeppavlov,,,,['tensorflow'],344.0,344.0,https://pypi.org/project/deeppavlov,,,8747.0,8747.0,,,,,,,,2.0,,,,,,,,,,,,deeppavlov/DeepPavlov,,,,,,, +267,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-05-25 05:10:18.000000,2023-05-25 04:49:30,1312.0,77.0,476.0,69.0,478.0,50.0,166.0,5935.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",31.0,30,False,2023-05-13 01:49:25.000,2.4.0,9.0,cleanlab,conda-forge/cleanlab,,,,121.0,121.0,https://pypi.org/project/cleanlab,,,11759.0,12115.0,https://anaconda.org/conda-forge/cleanlab,2023-05-16 17:42:44.464,13185.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +268,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-05-23 06:22:09.000000,2023-05-22 22:32:11,861.0,39.0,822.0,139.0,543.0,120.0,255.0,5897.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,75.0,30,True,2022-12-17 06:19:01.299,0.9.1,11.0,dowhy,conda-forge/dowhy,,,,254.0,241.0,https://pypi.org/project/dowhy,2022-12-17 06:19:01.299,13.0,35796.0,36188.0,https://anaconda.org/conda-forge/dowhy,2022-07-19 11:17:50.796,14128.0,,,,,2.0,32.0,,,,,,,,,,,,,,,,,, +269,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-01-19 00:37:33.000000,2023-01-19 00:37:33,900.0,,1187.0,154.0,950.0,59.0,777.0,5549.0,Gluon CV Toolkit.,118.0,30,True,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],61.0,,https://pypi.org/project/gluoncv,2022-10-03 09:02:28.503,61.0,546138.0,546138.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +270,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-05-25 12:43:00.000000,2023-05-25 11:41:53,36611.0,339.0,678.0,138.0,8011.0,775.0,4628.0,5535.0,cuDF - GPU DataFrame Library.,255.0,30,True,2023-04-12 14:26:01.000,23.04.00,35.0,cudf,,,,,,,https://pypi.org/project/cudf,,,2108.0,2108.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +271,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,,2014-12-17 18:16:59.000,2023-05-24 02:51:36.000000,2023-05-18 00:22:04,28659.0,47.0,1475.0,183.0,1958.0,28.0,1498.0,4408.0,"mlpack: a fast, header-only C++ machine learning library.",302.0,30,False,2023-04-27 13:26:18.000,4.1.0,43.0,mlpack,conda-forge/mlpack,,,,,,https://pypi.org/project/mlpack,,,1920.0,4413.0,https://anaconda.org/conda-forge/mlpack,2023-04-28 18:01:51.042,144643.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +272,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-05-24 21:51:42.000000,2023-05-19 00:23:08,1425.0,75.0,742.0,141.0,1304.0,296.0,389.0,4280.0,Simple and Distributed Machine Learning.,110.0,30,True,2023-04-24 23:13:08.000,0.11.1,29.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,2022-11-22 14:39:00.749,3.0,237707.0,237707.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +273,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2023-05-16 16:49:18.339000,2023-05-16 15:38:43,699.0,32.0,333.0,73.0,249.0,44.0,468.0,4045.0,Visualizer for pandas data structures.,29.0,30,True,2023-05-16 15:59:14.000,2.16.0,127.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",722.0,722.0,https://pypi.org/project/dtale,,,212504.0,218038.0,https://anaconda.org/conda-forge/dtale,2023-05-16 16:49:18.339,215829.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +274,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-05-16 16:51:14.686000,2023-05-02 05:51:57,1341.0,1.0,370.0,71.0,363.0,95.0,458.0,4039.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",104.0,30,True,2023-01-25 17:37:52.489,0.8.4,28.0,sacred,conda-forge/sacred,,,,2476.0,2367.0,https://pypi.org/project/sacred,2023-01-25 17:37:52.489,109.0,39843.0,40020.0,https://anaconda.org/conda-forge/sacred,2023-05-16 16:51:14.686,3198.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +275,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-05-11 21:14:20.000000,2022-09-24 16:20:26,585.0,,757.0,83.0,190.0,109.0,402.0,3644.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3054.0,3021.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,33.0,69253.0,69994.0,https://anaconda.org/conda-forge/pandas-ta,2021-10-05 09:16:48.657,14091.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +276,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-04-12 07:25:28.072000,2023-04-11 14:07:26,3641.0,7.0,472.0,104.0,1019.0,246.0,364.0,3439.0,Plotting library for IPython/Jupyter notebooks.,62.0,30,True,2023-04-11 15:00:49.000,0.12.39,107.0,bqplot,conda-forge/bqplot,,,['jupyter'],160.0,43.0,https://pypi.org/project/bqplot,2022-09-02 15:04:31.743,103.0,141867.0,159804.0,https://anaconda.org/conda-forge/bqplot,2023-04-12 07:25:28.072,1160127.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2023-04-11 14:56:02.108,14.0,4126.0,,,,,,,,,,, +277,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2023-05-17 10:21:04.000000,2023-05-17 10:20:52,233.0,16.0,254.0,44.0,48.0,22.0,84.0,3388.0,A simple command-line utility for querying and monitoring GPU status.,17.0,30,True,2023-04-05 14:52:44.000,1.1,14.0,gpustat,conda-forge/gpustat,,,,3572.0,3449.0,https://pypi.org/project/gpustat,2022-09-04 23:50:28.926,123.0,1209840.0,1214489.0,https://anaconda.org/conda-forge/gpustat,2023-05-16 08:09:42.483,232482.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +278,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-05-24 00:04:29.000000,2023-05-24 00:04:25,410.0,2.0,570.0,82.0,205.0,77.0,376.0,3162.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,30,True,2022-12-11 00:47:48.000,0.6.2,14.0,implicit,conda-forge/implicit,,,,995.0,995.0,https://pypi.org/project/implicit,,,154231.0,161762.0,https://anaconda.org/conda-forge/implicit,2022-01-29 16:35:56.077,480586.0,,,,,2.0,361.0,,,,,,,,,,,,,,,,,, +279,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-02-17 10:54:36.000000,2022-05-31 03:18:45,1556.0,,416.0,92.0,121.0,69.0,348.0,3055.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,48.0,30,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,924.0,867.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,57.0,186822.0,189195.0,https://anaconda.org/conda-forge/nmslib,2022-10-30 11:40:31.702,87832.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +280,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-02-07 11:44:22.000000,2023-02-07 11:44:22,319.0,,317.0,64.0,68.0,6.0,115.0,2753.0,A Python Perceptual Image Hashing Module.,25.0,30,True,2021-03-25 13:49:48.000,4.1.0,7.0,ImageHash,conda-forge/imagehash,,,,9173.0,9173.0,https://pypi.org/project/ImageHash,,,1256642.0,1260592.0,https://anaconda.org/conda-forge/imagehash,2022-09-28 13:22:48.042,308111.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +281,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2022-09-22 16:35:34.000000,2022-08-22 18:21:12,586.0,,550.0,76.0,72.0,56.0,159.0,2731.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,30,True,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,3313.0,3161.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000,152.0,2444057.0,2447200.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073,223194.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +282,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-05-24 07:17:31.000000,2023-05-24 07:17:31,3368.0,54.0,333.0,159.0,1118.0,31.0,57.0,2620.0,Neural Network Libraries.,72.0,30,True,2023-04-25 02:08:35.000,1.35.1,75.0,nnabla,,,,,53.0,,https://pypi.org/project/nnabla,2023-02-14 02:41:00.910,53.0,3793.0,3802.0,,,,,,,,3.0,636.0,3.0,,,,,,,,,,,,,,,,, +283,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2023-01-07 21:09:32.000000,2022-12-10 14:00:49,877.0,,353.0,85.0,165.0,215.0,146.0,2252.0,D3 Renderings of Matplotlib Graphics.,51.0,30,True,2022-12-10 14:03:04.289,0.5.9,18.0,mpld3,conda-forge/mpld3,,,,5112.0,4695.0,https://pypi.org/project/mpld3,2022-12-10 14:03:04.289,409.0,237375.0,240367.0,https://anaconda.org/conda-forge/mpld3,2022-12-10 17:08:02.676,177489.0,,,,,2.0,,,,mpld3,https://www.npmjs.com/package/mpld3,2022-12-10 14:00:31.699,8.0,904.0,,,,,,,,,,, +284,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-05-25 13:06:42.000000,2023-05-25 11:41:18,1151.0,220.0,497.0,37.0,27.0,2.0,250.0,1876.0,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,22.0,30,True,2023-05-09 09:28:00.957,2.2.3,107.0,deepke,,,,['pytorch'],16.0,16.0,https://pypi.org/project/deepke,2022-12-28 13:45:51.322,,1342.0,1342.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +285,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-05-15 16:37:01.000000,2023-05-04 00:22:15,1284.0,212.0,193.0,49.0,208.0,139.0,140.0,1848.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",37.0,30,True,2023-05-04 00:26:01.341,0.29.1,156.0,graphistry,,,,['jupyter'],95.0,90.0,https://pypi.org/project/graphistry,2022-12-23 05:51:01.176,5.0,3185.0,3185.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +286,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2023-05-22 17:13:40.000000,2023-05-11 01:18:26,3899.0,74.0,1001.0,155.0,1003.0,36.0,535.0,1593.0,Documentation and samples for ArcGIS API for Python.,88.0,30,True,2023-01-19 20:46:21.000,2.1.0,32.0,arcgis,,esridocker/arcgis-api-python-notebook,,,,,https://pypi.org/project/arcgis,,,88844.0,89062.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2022-06-17 15:56:10.986929,40.0,10004.0,3.0,8225.0,,,,,,,,,,,,,,,,,, +287,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-01-10 17:12:02.000000,2023-01-10 17:11:50,1579.0,,268.0,56.0,130.0,78.0,173.0,1544.0,"CUDA integration for Python, plus shiny features.",79.0,30,True,2022-12-21 02:24:00.995,2022.2.2,51.0,pycuda,conda-forge/pycuda,,,,2323.0,2111.0,https://pypi.org/project/pycuda,2022-12-21 02:24:00.995,212.0,37127.0,45129.0,https://anaconda.org/conda-forge/pycuda,2022-12-21 11:36:07.684,208072.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +288,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2023-05-16 07:12:56.000000,2023-05-16 07:12:56,1025.0,21.0,190.0,54.0,194.0,32.0,261.0,1397.0,A full spaCy pipeline and models for scientific/biomedical documents.,29.0,30,True,2023-04-29 21:23:00.503,0.5.2,13.0,scispacy,,,,,731.0,701.0,https://pypi.org/project/scispacy,2022-09-07 00:28:02.587,30.0,30984.0,30984.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +289,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-03-01 07:56:28.000000,2023-01-12 06:10:52,1485.0,,142.0,41.0,130.0,9.0,633.0,1133.0,A Python data analysis library that is optimized for humans instead of machines.,51.0,30,True,,,7.0,agate,conda-forge/agate,,,,1770.0,1770.0,https://pypi.org/project/agate,,,2886408.0,2888137.0,https://anaconda.org/conda-forge/agate,2023-01-05 00:05:13.909,129712.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +290,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-05-25 11:47:48.000000,2023-05-25 11:22:38,9833.0,223.0,205.0,34.0,1357.0,185.0,313.0,944.0,Computations and statistics on manifolds with geometric structures.,81.0,30,True,2022-04-22 22:08:06.000,2.5.0,20.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,65.0,65.0,https://pypi.org/project/geomstats,,,1782.0,1895.0,https://anaconda.org/conda-forge/geomstats,2022-06-01 11:18:18.061,1248.0,,,,,3.0,,3.0,,,,,,,,,,,,,,,,, +291,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2023-04-26 04:22:05.000000,2022-10-09 20:27:52,544.0,,101.0,31.0,54.0,69.0,73.0,883.0,Describing statistical models in Python using symbolic formulas.,17.0,30,True,2022-10-09 20:34:35.000,0.5.3,10.0,patsy,conda-forge/patsy,,,,74835.0,72131.0,https://pypi.org/project/patsy,2022-10-09 20:29:01.698,2704.0,8521289.0,8619741.0,https://anaconda.org/conda-forge/patsy,2022-10-09 22:58:02.769,7974658.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +292,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2023-05-25 08:48:09.000000,2023-04-19 21:43:19,547.0,47.0,163.0,35.0,82.0,88.0,122.0,838.0,A scikit-learn based module for multi-label et. al. classification.,29.0,30,True,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],1138.0,1117.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,21.0,85931.0,85931.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +293,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-05-23 16:00:45.000000,2023-05-23 16:00:43,564.0,17.0,85.0,25.0,406.0,257.0,359.0,757.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",40.0,30,True,2023-03-17 11:20:17.000,0.8.3,53.0,hvplot,conda-forge/hvplot,,,,3027.0,2945.0,https://pypi.org/project/hvplot,2022-11-24 15:09:00.810,82.0,121326.0,128071.0,https://anaconda.org/conda-forge/hvplot,2023-03-17 13:58:22.839,384486.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +294,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2023-05-24 13:48:00.000000,2023-05-22 08:23:26,1484.0,125.0,40.0,14.0,1157.0,31.0,176.0,392.0,Experiment tracking tool and model registry.,41.0,30,True,2023-05-10 07:53:02.618,1.2.0,157.0,neptune-client,conda-forge/neptune-client,,,,47.0,,https://pypi.org/project/neptune-client,2022-07-01 13:52:49.000,47.0,550302.0,554907.0,https://anaconda.org/conda-forge/neptune-client,2023-05-10 09:38:12.991,184208.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +295,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-05-20 15:24:58.000000,2023-05-20 15:24:49,273.0,8.0,2343.0,133.0,37.0,107.0,120.0,14180.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",17.0,29,True,2023-05-20 15:26:00.638,1.2.2,163.0,vit-pytorch,,,,['pytorch'],259.0,253.0,https://pypi.org/project/vit-pytorch,2022-06-30 15:11:57.000,6.0,20860.0,20860.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +296,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-05-25 13:37:46.000000,2023-05-24 07:49:58,1924.0,23.0,1927.0,263.0,803.0,188.0,531.0,10953.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",115.0,29,True,2023-01-29 10:54:52.000,0.9.1,17.0,pyqlib,,,,['pytorch'],,,https://pypi.org/project/pyqlib,,,2940.0,2950.0,,,,,,,,2.0,335.0,,,,,,,,,,,,,,,,,, +297,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2023-05-22 13:07:59.042000,2023-05-18 17:21:01,563.0,7.0,2249.0,223.0,230.0,91.0,403.0,9464.0,A little word cloud generator in Python.,68.0,29,True,2023-05-05 22:40:27.000,1.9.1.1,12.0,wordcloud,conda-forge/wordcloud,,,,,,https://pypi.org/project/wordcloud,,,736919.0,741927.0,https://anaconda.org/conda-forge/wordcloud,2023-05-22 13:07:59.042,405726.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +298,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2022-04-22 09:08:45.000000,2020-04-16 08:02:22,154.0,,1840.0,222.0,46.0,96.0,94.0,8773.0,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,29,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],94.0,,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,127304.0,127958.0,https://anaconda.org/conda-forge/pretrainedmodels,2021-04-30 19:04:30.054,22891.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +299,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,,2011-09-06 22:24:59.000,2023-04-28 07:17:42.000000,2023-04-28 07:17:41,1196.0,2.0,886.0,127.0,262.0,377.0,243.0,6741.0,Distributed Asynchronous Hyperparameter Optimization in Python.,94.0,29,False,,,7.0,hyperopt,conda-forge/hyperopt,,,,10370.0,10370.0,https://pypi.org/project/hyperopt,,,1843793.0,1856221.0,https://anaconda.org/conda-forge/hyperopt,2022-04-30 16:43:00.797,696013.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +300,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-02-02 01:56:21.000000,2023-01-31 19:40:04,3203.0,,1390.0,191.0,783.0,38.0,422.0,5808.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,29,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],477.0,465.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,1288.0,1462.0,https://anaconda.org/conda-forge/cleverhans,2021-07-29 12:49:41.903,6098.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +301,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-05-25 12:30:15.000000,2023-05-25 09:32:14,1752.0,122.0,740.0,89.0,1944.0,245.0,781.0,5773.0,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",104.0,29,True,2023-02-17 07:01:22.068,0.7.0,1159.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",7.0,,https://pypi.org/project/autogluon,2022-07-07 09:05:12.000,7.0,57865.0,57934.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-03-17 03:59:31.590364,11.0,3198.0,2.0,,,,,,,,,,,,,,,,,,, +302,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-05-25 12:21:24.000000,2023-05-20 00:55:24,246.0,2.0,816.0,123.0,37.0,54.0,142.0,4632.0,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,29,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],1471.0,1435.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,36.0,1697303.0,1697617.0,https://anaconda.org/conda-forge/torchdiffeq,2021-06-03 13:23:15.112,11337.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +303,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-01-18 13:25:06.000000,2022-01-27 13:24:16,139.0,,1002.0,153.0,112.0,91.0,79.0,4337.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,29,False,,,3.0,imutils,conda-forge/imutils,,,,34234.0,34234.0,https://pypi.org/project/imutils,,,388659.0,391521.0,https://anaconda.org/conda-forge/imutils,2022-11-06 01:39:14.437,134543.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +304,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-05-25 03:40:15.000000,2023-05-23 21:34:01,6079.0,105.0,506.0,150.0,1847.0,277.0,1311.0,4143.0,ArrayFire: a general purpose GPU library.,88.0,29,True,2023-02-13 16:47:37.000,3.8.3,33.0,arrayfire,,,,,,,https://pypi.org/project/arrayfire,,,1133.0,1174.0,,,,,,,,2.0,3948.0,,,,,,,,,,,,,,,,,, +305,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-03-04 04:13:01.000000,2022-07-07 05:16:43,738.0,,427.0,41.0,124.0,59.0,154.0,3958.0,Data augmentation for NLP.,33.0,29,True,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,753.0,727.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,26.0,134288.0,134702.0,https://anaconda.org/conda-forge/nlpaug,2023-01-30 14:20:28.830,9523.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +306,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-04-24 02:58:09.000000,2023-02-17 16:34:52,3273.0,,498.0,120.0,360.0,63.0,728.0,3726.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",71.0,29,True,,,12.0,dedupe,conda-forge/dedupe,,,,278.0,278.0,https://pypi.org/project/dedupe,,,67629.0,69511.0,https://anaconda.org/conda-forge/dedupe,2022-12-12 17:16:06.331,31994.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +307,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2023-05-01 21:16:51.000000,2022-08-23 15:59:41,615.0,,783.0,148.0,115.0,130.0,99.0,3622.0,Technical Analysis Library using Pandas and Numpy.,29.0,29,True,2022-08-23 16:03:04.047,0.10.2,54.0,ta,conda-forge/ta,,,,2168.0,2126.0,https://pypi.org/project/ta,2022-08-23 16:03:04.047,42.0,66205.0,66741.0,https://anaconda.org/conda-forge/ta,2022-08-23 20:22:42.529,14481.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +308,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-02-26 20:11:11.000000,2023-02-26 20:07:33,189.0,3.0,438.0,71.0,37.0,10.0,118.0,3543.0,Missing data visualization module for Python.,18.0,29,True,2023-02-26 20:11:48.000,0.5.2,6.0,missingno,conda-forge/missingno,,,,11487.0,11487.0,https://pypi.org/project/missingno,,,413430.0,417384.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253,276828.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +309,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2023-04-07 19:27:35.000000,2023-04-06 17:07:15,247.0,12.0,785.0,46.0,46.0,68.0,103.0,3505.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,15.0,29,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1153.0,1135.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,18.0,29349.0,43978.0,,,,,,,,2.0,614451.0,,,,,,,,,,,,,,,,,, +310,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2022-12-08 13:38:21.000000,2022-10-25 17:55:33,609.0,,112.0,76.0,65.0,12.0,119.0,3497.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,29,True,2021-08-23 21:02:05.000,6.0.3,11.0,ftfy,conda-forge/ftfy,,,,11095.0,11095.0,https://pypi.org/project/ftfy,,,4171041.0,4174491.0,https://anaconda.org/conda-forge/ftfy,2022-03-13 19:47:23.479,251885.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +311,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-03-01 17:40:37.000000,2023-02-22 16:14:05,1037.0,,328.0,64.0,1269.0,115.0,158.0,3445.0,A Python toolbox for performing gradient-free optimization.,49.0,29,True,2023-02-22 16:11:53.823,0.6.0,37.0,nevergrad,conda-forge/nevergrad,,,,519.0,493.0,https://pypi.org/project/nevergrad,2022-03-08 18:42:46.000,26.0,49075.0,50126.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518,38894.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +312,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2022-11-22 09:59:24.000000,2022-08-14 17:11:42,3272.0,,675.0,185.0,733.0,262.0,669.0,3361.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,29,True,2020-10-21 13:39:07.000,2.1.2,9.0,dyNET,,,,,246.0,246.0,https://pypi.org/project/dyNET,,,3153.0,3289.0,,,,,,,,3.0,10793.0,,,,,,,,,,,,,,,,,, +313,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-05-24 22:59:54.000000,2023-05-23 15:27:47,15170.0,105.0,455.0,70.0,3189.0,740.0,1510.0,3342.0,cuML - RAPIDS Machine Learning Library.,163.0,29,True,2023-04-12 21:34:27.000,23.04.00,32.0,cuml,,,,,1.0,1.0,https://pypi.org/project/cuml,,,2002.0,2002.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +314,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-05-16 00:13:13.000000,2023-05-15 23:19:23,437.0,10.0,261.0,47.0,419.0,54.0,235.0,3150.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,38.0,29,True,2023-02-28 17:31:57.000,0.4.8,21.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,82.0,77.0,https://pypi.org/project/hummingbird-ml,2023-02-28 17:31:30.149,5.0,7270.0,8336.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-02-28 20:55:58.392,27565.0,,,,,2.0,242.0,,,,,,,,,,,,,,,,,, +315,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-04-03 19:20:24.000000,2022-04-29 04:19:24,1698.0,,400.0,46.0,1083.0,6.0,346.0,3125.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],929.0,898.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,31.0,52297.0,52297.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +316,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2023-04-13 03:23:14.000000,2023-04-10 19:56:01,1585.0,22.0,471.0,36.0,681.0,365.0,270.0,2839.0,Time series forecasting with PyTorch.,35.0,29,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,9.0,,https://pypi.org/project/pytorch-forecasting,2022-09-07 11:55:46.373,9.0,64129.0,65474.0,https://anaconda.org/conda-forge/pytorch-forecasting,2022-05-23 16:56:34.706,43063.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +317,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,661.0,110.0,73.0,98.0,123.0,2807.0,Productivity Tools for Plotly + Pandas.,38.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],8479.0,8309.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,170.0,146026.0,146026.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +318,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-05-25 11:30:12.000000,2023-05-15 21:05:02,464.0,15.0,393.0,35.0,469.0,4.0,,2642.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,29.0,29,True,2023-05-15 21:12:01.327,0.11.14,100.0,sahi,conda-forge/sahi,,,,455.0,444.0,https://pypi.org/project/sahi,2023-01-15 13:30:00.362,11.0,104281.0,106805.0,https://anaconda.org/conda-forge/sahi,2023-05-16 08:12:37.727,37473.0,,,,,2.0,14914.0,,,,,,,,,,,,,,,,,, +319,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2023-04-28 17:13:34.000000,2023-04-16 16:35:55,606.0,9.0,307.0,48.0,113.0,50.0,130.0,2523.0,A python library for decision tree visualization and model interpretation.,23.0,29,True,2023-04-16 16:39:00.735,2.2.1,40.0,dtreeviz,conda-forge/dtreeviz,,,,804.0,783.0,https://pypi.org/project/dtreeviz,2023-01-29 19:23:00.782,21.0,93242.0,94771.0,https://anaconda.org/conda-forge/dtreeviz,2023-04-16 19:21:12.728,45870.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +320,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2022-12-25 20:52:27.000000,2022-12-25 20:52:27,843.0,,519.0,99.0,1043.0,260.0,297.0,2497.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",84.0,29,True,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1288.0,1266.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,103367.0,103367.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +321,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-05-25 14:27:20.000000,2023-05-25 08:06:40,1011.0,93.0,194.0,24.0,839.0,77.0,333.0,2317.0,A python library for self-supervised learning on images.,27.0,29,True,2023-05-23 16:31:13.000,1.4.6,94.0,lightly,,,,['pytorch'],122.0,118.0,https://pypi.org/project/lightly,2023-01-31 14:30:00.472,4.0,6361.0,6361.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +322,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2023-05-24 20:55:33.000000,2023-05-05 16:16:26,722.0,16.0,554.0,172.0,70.0,5.0,490.0,2196.0,Python sync/async framework for Interactive Brokers API.,35.0,29,True,2023-05-05 16:15:52.542,0.9.85,110.0,ib_insync,conda-forge/ib-insync,,,,24.0,,https://pypi.org/project/ib_insync,2022-12-16 09:33:01.063,24.0,18065.0,18734.0,https://anaconda.org/conda-forge/ib-insync,2023-04-30 03:01:17.993,30810.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +323,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2023-05-10 13:50:11.000000,2023-05-09 14:57:30,1417.0,45.0,270.0,39.0,287.0,26.0,132.0,2192.0,Shapash makes Machine Learning models transparent and understandable by everyone.,35.0,29,True,2023-05-09 15:45:01.611,2.3.4,32.0,shapash,,,,['jupyter'],114.0,112.0,https://pypi.org/project/shapash,2023-01-17 15:34:02.670,2.0,7085.0,7085.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +324,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2023-05-23 11:13:31.000000,2023-05-22 10:26:25,604.0,41.0,223.0,45.0,585.0,132.0,216.0,2050.0,Algorithms for explaining machine learning models.,18.0,29,True,2023-04-28 14:13:01.273,0.9.2,29.0,alibi,,,,,503.0,476.0,https://pypi.org/project/alibi,2023-01-11 16:45:06.910,27.0,14635.0,14635.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +325,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2023-05-24 15:25:10.000000,2023-05-22 14:08:23,672.0,36.0,178.0,36.0,475.0,114.0,218.0,1825.0,"Algorithms for outlier, adversarial and drift detection.",18.0,29,True,2023-04-28 14:54:16.000,0.11.2,34.0,alibi-detect,,,,,357.0,350.0,https://pypi.org/project/alibi-detect,2022-06-01 16:23:29.000,7.0,18385.0,18385.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +326,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-04-16 18:18:45.000000,2023-04-16 18:18:45,185.0,3.0,240.0,55.0,65.0,74.0,179.0,1789.0,A Python wrapper for the tesseract-ocr API.,29.0,29,True,2023-03-14 12:53:23.000,2.6.0,14.0,tesserocr,conda-forge/tesserocr,,,,834.0,834.0,https://pypi.org/project/tesserocr,,,37617.0,40220.0,https://anaconda.org/conda-forge/tesserocr,2022-11-06 10:26:38.906,111954.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +327,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2023-05-23 20:45:11.000000,2023-05-23 20:45:11,496.0,5.0,365.0,81.0,93.0,76.0,249.0,1666.0,bt - flexible backtesting for Python.,28.0,29,True,2021-04-21 02:52:26.000,0.2.9,25.0,bt,conda-forge/bt,,,,1543.0,1519.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000,24.0,7989.0,8574.0,https://anaconda.org/conda-forge/bt,2022-11-12 20:42:40.483,14635.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +328,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-04-27 01:10:49.000000,2023-04-27 01:10:43,355.0,2.0,231.0,47.0,297.0,197.0,175.0,1582.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,42.0,29,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],218.0,216.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000,2.0,380406.0,380406.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +329,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2023-05-01 20:46:16.000000,2022-08-31 01:52:51,509.0,,308.0,104.0,49.0,7.0,151.0,1566.0,Distributed Deep learning with Keras & Spark.,27.0,29,True,2023-03-15 02:28:00.464,4.1.0,38.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",72.0,69.0,https://pypi.org/project/elephas,2023-03-04 14:29:00.451,3.0,73873.0,74135.0,https://anaconda.org/conda-forge/elephas,2021-06-02 18:33:53.270,11794.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +330,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-05-23 20:31:25.000000,2023-05-23 20:31:07,404.0,7.0,264.0,59.0,83.0,21.0,93.0,1511.0,ffn - a financial function library for Python.,30.0,29,True,2023-05-23 20:33:00.695,0.3.7,28.0,ffn,conda-forge/ffn,,,,347.0,321.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000,26.0,175678.0,175816.0,https://anaconda.org/conda-forge/ffn,2021-04-22 14:02:56.125,3468.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +331,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2023-05-10 15:52:56.000000,2023-04-18 16:12:18,694.0,6.0,286.0,43.0,344.0,62.0,184.0,1410.0,Training PyTorch models with differential privacy.,69.0,29,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,,['pytorch'],608.0,590.0,https://pypi.org/project/opacus,2022-11-14 13:50:35.484,18.0,27655.0,28251.0,https://anaconda.org/conda-forge/opacus,2023-03-24 17:56:04.944,9506.0,,,,,2.0,74.0,,,,,,,,,,,,,,,,,, +332,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2023-05-23 12:39:55.000000,2023-05-23 12:39:46,931.0,27.0,552.0,108.0,272.0,11.0,298.0,1409.0,Execute Python code on the fly and display results in Tableau visualizations:.,49.0,29,True,2023-05-23 12:45:02.140,2.8.0,30.0,tabpy,anaconda/tabpy-client,,,,128.0,126.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,11777.0,11829.0,https://anaconda.org/anaconda/tabpy-client,2022-05-02 20:36:07.551,3804.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +333,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-05-19 11:47:52.000000,2023-05-10 10:35:06,994.0,52.0,162.0,20.0,124.0,41.0,116.0,1390.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,29,True,2023-05-02 07:49:00.448,0.30.0,33.0,audiomentations,,,,,273.0,269.0,https://pypi.org/project/audiomentations,2023-01-12 13:15:08.451,4.0,8366.0,8366.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +334,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2023-05-25 11:45:50.000000,2023-05-24 07:15:38,3299.0,150.0,221.0,30.0,495.0,88.0,586.0,1356.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,69.0,29,True,2022-12-15 02:59:18.000,0.3.1,6.0,avalanche-lib,,,,,28.0,28.0,https://pypi.org/project/avalanche-lib,,,2096.0,2096.0,,,,,,,,2.0,4.0,,,,,,,,,,,,,,,,,, +335,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-05-24 00:14:19.000000,2023-05-14 08:00:31,1474.0,12.0,158.0,19.0,730.0,105.0,424.0,1143.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,106.0,29,True,2022-11-12 20:42:09.000,0.24.0,51.0,pyjanitor,conda-forge/pyjanitor,,,,384.0,384.0,https://pypi.org/project/pyjanitor,,,29110.0,31809.0,https://anaconda.org/conda-forge/pyjanitor,2023-03-23 14:13:21.875,167371.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +336,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2022-02-17 22:38:16.000000,2022-02-17 22:38:15,288.0,,456.0,44.0,176.0,93.0,102.0,1027.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:53:47.000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1574.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000,1574.0,5904570.0,5936365.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923,1875933.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +337,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2023-05-16 20:30:32.000000,2023-05-12 17:07:09,897.0,85.0,187.0,24.0,92.0,26.0,168.0,938.0,Survival analysis built on top of scikit-learn.,17.0,29,False,2023-03-05 13:15:49.628,0.20.0,24.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],272.0,265.0,https://pypi.org/project/scikit-survival,2022-10-24 18:41:20.000,7.0,102589.0,104800.0,https://anaconda.org/conda-forge/scikit-survival,2023-04-25 12:34:49.747,39800.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +338,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-04-22 10:48:54.000000,2023-03-10 19:47:48,1140.0,16.0,232.0,59.0,244.0,18.0,332.0,883.0,Search and download Copernicus Sentinel satellite images.,43.0,29,False,2023-03-10 17:50:22.000,1.2.1,13.0,sentinelsat,conda-forge/sentinelsat,,,,432.0,432.0,https://pypi.org/project/sentinelsat,,,13238.0,13899.0,https://anaconda.org/conda-forge/sentinelsat,2023-03-12 12:19:24.314,20411.0,,,,,3.0,249.0,,,,,,,,,,,,,,,,,, +339,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2023-04-02 20:58:47.000000,2023-03-24 22:04:13,811.0,1.0,240.0,43.0,501.0,265.0,250.0,851.0,Scalable Machine Learning with Dask.,77.0,29,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,880.0,813.0,https://pypi.org/project/dask-ml,2022-05-27 14:17:46.000,67.0,189152.0,199836.0,https://anaconda.org/conda-forge/dask-ml,2023-03-25 00:51:43.883,715887.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +340,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2023-05-25 00:04:56.000000,2023-05-25 00:04:54,1588.0,81.0,222.0,22.0,1800.0,69.0,221.0,834.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,36.0,29,True,2023-04-27 13:14:59.000,0.27.0,45.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",59.0,56.0,https://pypi.org/project/raiwidgets,2023-01-18 23:21:09.936,3.0,5074.0,5074.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +341,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2023-05-25 00:31:42.000000,2023-05-25 00:31:42,1596.0,8.0,267.0,42.0,1205.0,253.0,351.0,640.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",100.0,29,True,2023-03-29 02:39:56.000,0.32.0,39.0,tensorflow-io,,,,['tensorflow'],32.0,,https://pypi.org/project/tensorflow-io,2023-01-21 14:20:00.598,32.0,2024601.0,2024601.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +342,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-04-07 19:10:09.000000,2023-03-24 08:30:46,549.0,1.0,87.0,17.0,183.0,85.0,128.0,549.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",30.0,29,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,21368.0,21220.0,https://pypi.org/project/soundfile,2022-09-27 21:32:48.345,148.0,1296896.0,1297028.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,2.0,14743.0,,,,,,,,,,,,,,,,,, +343,pysc2,deepmind/pysc2,others,,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-04-29 14:56:09.000000,2023-04-19 16:47:52,581.0,9.0,1151.0,354.0,77.0,50.0,230.0,7758.0,StarCraft II Learning Environment.,39.0,28,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,562.0,536.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2878.0,3316.0,,,,,,,,2.0,30257.0,,,,,,,,,,,,,,,,,, +344,Facets Overview,pair-code/facets,data-viz,,https://github.com/PAIR-code/facets,https://github.com/PAIR-code/facets,Apache-2.0,2017-07-07 14:03:03.000,2023-05-24 15:56:22.000000,2023-05-24 15:56:22,277.0,3.0,864.0,269.0,98.0,78.0,81.0,7131.0,Visualizations for machine learning datasets.,31.0,28,True,2019-07-01 16:35:20.000,1.0.0,4.0,facets-overview,,,,['jupyter'],179.0,179.0,https://pypi.org/project/facets-overview,,,139063.0,139063.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +345,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000,2022-12-20 01:05:44.000000,2019-10-23 20:45:07,6625.0,,1554.0,626.0,2111.0,453.0,1338.0,6321.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:12:12.000,1.0.5,47.0,nupic,,,,,117.0,117.0,https://pypi.org/project/nupic,,,2872.0,2872.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +346,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-05-10 14:56:54.000000,2023-01-27 13:12:44,652.0,,957.0,147.0,93.0,72.0,303.0,5809.0,A Python scikit for building and analyzing recommender systems.,45.0,28,True,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,50.0,,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,105518.0,110379.0,https://anaconda.org/conda-forge/scikit-surprise,2023-03-29 11:29:47.729,311147.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +347,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2022-12-15 12:11:23.000000,2019-11-11 22:14:54,308.0,,1323.0,209.0,157.0,40.0,227.0,5410.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],741.0,686.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,55.0,2167.0,2167.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +348,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2022-11-14 14:53:09.000000,2022-09-18 19:55:03,775.0,,1129.0,212.0,90.0,187.0,120.0,5303.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",27.0,28,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,371.0,352.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,12104.0,12104.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +349,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-03-30 13:58:07.000000,2023-03-29 07:02:37,553.0,5.0,862.0,124.0,61.0,135.0,74.0,4912.0,Image augmentation library in Python for machine learning.,23.0,28,True,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,621.0,592.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,29.0,11228.0,11228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +350,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-03-19 17:37:08.000000,2023-03-19 17:37:07,900.0,3.0,541.0,105.0,613.0,90.0,604.0,4002.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,28,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],75.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,75.0,512187.0,514051.0,https://anaconda.org/conda-forge/yellowbrick,2022-08-22 23:53:21.096,61534.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +351,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-04-11 15:38:48.000000,2023-02-21 07:39:45,433.0,,497.0,111.0,80.0,17.0,96.0,3165.0,Module for automatic summarization of text documents and HTML pages.,26.0,28,True,2022-10-23 16:40:03.000,0.11.0,15.0,sumy,conda-forge/sumy,,,,1945.0,1945.0,https://pypi.org/project/sumy,,,30856.0,31074.0,https://anaconda.org/conda-forge/sumy,2022-10-25 07:50:19.767,5024.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +352,Acme,deepmind/acme,reinforcement-learning,,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-04-26 20:58:48.000000,2023-04-26 20:58:03,1176.0,11.0,386.0,82.0,50.0,48.0,199.0,3107.0,A library of reinforcement learning components and agents.,83.0,28,True,2022-02-10 06:52:01.000,0.4.0,12.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],140.0,140.0,https://pypi.org/project/dm-acme,,,2459.0,2673.0,https://anaconda.org/conda-forge/dm-acme,2021-12-09 14:52:24.765,6426.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +353,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-03-08 02:41:37.000000,2022-12-13 03:52:09,2484.0,,455.0,83.0,244.0,61.0,154.0,2934.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,62.0,28,True,2020-11-06 15:31:29.000,0.6.0,10.0,fastnlp,,,,,148.0,144.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000,4.0,14466.0,14467.0,,,,,,,,2.0,69.0,,,,,,,,,,,,,,,,,, +354,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2023-01-23 10:03:07.000000,2021-11-11 16:56:57,430.0,,269.0,34.0,442.0,29.0,30.0,2760.0,torch-optimizer -- collection of optimizers for Pytorch.,25.0,28,False,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],942.0,900.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,42.0,83717.0,84025.0,https://anaconda.org/conda-forge/torch-optimizer,2021-10-31 17:20:09.384,7708.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +355,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-02-03 12:17:07.000000,2021-10-29 06:15:49,2535.0,,403.0,64.0,929.0,310.0,743.0,2706.0,StellarGraph - Machine Learning on Graphs.,36.0,28,False,2020-06-30 05:15:21.000,1.2.1,25.0,stellargraph,,,,['tensorflow'],219.0,211.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000,8.0,18275.0,18275.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +356,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,,2021-10-11 14:48:38.000,2023-05-25 13:13:04.000000,2023-05-25 12:14:05,1388.0,117.0,195.0,13.0,1569.0,238.0,701.0,2670.0,Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively..,44.0,28,False,2023-05-21 12:18:25.000,0.14.1,52.0,deepchecks,,,,,160.0,160.0,https://pypi.org/project/deepchecks,,,43879.0,43906.0,,,,,,,,2.0,519.0,,,,,,,,,,,,,,,,,, +357,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-05-24 14:57:44.000000,2023-05-16 12:39:34,1022.0,3.0,341.0,45.0,58.0,117.0,425.0,2604.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",21.0,28,True,2023-01-02 17:10:49.041,0.11.5,79.0,mljar-supervised,conda-forge/mljar-supervised,,,,77.0,75.0,https://pypi.org/project/mljar-supervised,2023-01-02 17:10:49.041,2.0,10559.0,10925.0,https://anaconda.org/conda-forge/mljar-supervised,2022-12-30 21:59:46.130,8431.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +358,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2023-03-25 01:35:14.000000,2022-05-25 09:55:55,1696.0,,413.0,46.0,347.0,32.0,333.0,2491.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",32.0,28,True,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,496.0,481.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,15.0,2923.0,3234.0,https://anaconda.org/conda-forge/foolbox,2021-04-30 19:06:43.853,10589.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +359,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-05-22 14:39:18.000000,2023-05-22 14:39:18,3405.0,78.0,495.0,112.0,325.0,385.0,633.0,2404.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",78.0,28,False,2015-03-31 16:33:30.000,2.0,19.0,essentia,,,,,460.0,444.0,https://pypi.org/project/essentia,2023-01-11 14:10:02.525,16.0,4809.0,4809.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +360,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-03-09 09:14:59.000000,2023-03-08 18:29:46,1478.0,270.0,233.0,65.0,58.0,32.0,184.0,1941.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,28,True,2023-03-08 18:54:25.000,2.0.0,13.0,ampligraph,,,,['tensorflow'],37.0,37.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000,,893.0,893.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +361,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-05-25 14:42:12.000000,2023-05-25 14:42:11,432.0,62.0,360.0,28.0,483.0,54.0,397.0,1936.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",42.0,28,True,2023-05-24 14:42:37.000,0.5.1,23.0,anomalib,,,,,13.0,13.0,https://pypi.org/project/anomalib,2022-10-28 09:51:28.348,,3555.0,3577.0,,,,,,,,2.0,379.0,,,,,,,,,,,,,,,,,, +362,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-05-24 13:23:03.000000,2023-05-23 09:15:21,703.0,15.0,235.0,31.0,762.0,50.0,195.0,1828.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",33.0,28,True,2022-09-29 11:52:22.795,0.6.0,12.0,python-doctr,,,,"['tensorflow', 'pytorch']",150.0,146.0,https://pypi.org/project/python-doctr,2022-09-29 11:52:22.795,4.0,7044.0,57288.0,,,,,,,,3.0,1356602.0,,,,,,,,,,,,,,,,,, +363,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-05-24 23:45:41.000000,2023-05-09 20:45:56,1324.0,5.0,236.0,22.0,40.0,17.0,190.0,1819.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,19.0,28,True,2023-05-04 07:26:58.000,0.4.2.2,75.0,explainerdashboard,conda-forge/explainerdashboard,,,,294.0,294.0,https://pypi.org/project/explainerdashboard,,,33323.0,34497.0,https://anaconda.org/conda-forge/explainerdashboard,2023-02-20 00:17:31.890,34058.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +364,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-Universe/lightning-flash,https://github.com/Lightning-Universe/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-05-17 21:55:49.000000,2023-05-17 21:55:41,1030.0,39.0,205.0,36.0,946.0,31.0,487.0,1677.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,86.0,28,True,2023-01-05 06:10:26.000,0.8.1.post0,39.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],234.0,229.0,https://pypi.org/project/lightning-flash,2023-01-05 06:11:45.680,5.0,2017.0,2612.0,https://anaconda.org/conda-forge/lightning-flash,2022-11-08 12:21:59.568,12512.0,,,,,2.0,,,,,,,,,,,,Lightning-Universe/lightning-flash,,,,,,, +365,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-05-12 18:37:24.000000,2023-02-03 00:10:35,690.0,,267.0,43.0,494.0,168.0,149.0,1619.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,48.0,28,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,128.0,118.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,10.0,37314.0,37320.0,,,,,,,,3.0,376.0,,,,,,,,,,,,,,,,,, +366,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-05-17 14:25:08.000000,2023-05-17 13:18:43,1360.0,43.0,299.0,28.0,366.0,67.0,117.0,1509.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,28,True,2023-05-18 06:27:52.000,2.2.5,10.0,pgl,,,,['paddle'],42.0,42.0,https://pypi.org/project/pgl,,,1273.0,1273.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +367,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2023-05-11 14:32:21.000000,2023-05-01 16:07:30,3027.0,10.0,117.0,37.0,312.0,17.0,183.0,1376.0,Multi-class confusion matrix library in Python.,17.0,28,True,2023-05-01 17:08:31.000,3.9,43.0,pycm,,,,,236.0,220.0,https://pypi.org/project/pycm,2022-04-27 15:18:44.000,16.0,36227.0,36227.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +368,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2023-04-21 22:13:05.000000,2023-03-09 08:46:07,1220.0,2.0,125.0,31.0,88.0,36.0,218.0,1337.0,Statistical package in Python based on Pandas.,41.0,28,False,2023-01-02 16:01:44.953,0.5.3,39.0,pingouin,conda-forge/pingouin,,,,1301.0,1247.0,https://pypi.org/project/pingouin,2023-01-02 16:01:44.953,54.0,57034.0,58815.0,https://anaconda.org/conda-forge/pingouin,2022-12-30 03:59:42.755,94421.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +369,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2023-04-20 04:36:20.000000,2023-04-20 04:36:19,526.0,2.0,394.0,50.0,37.0,18.0,137.0,1148.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2061.0,2030.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,31.0,232489.0,233288.0,https://anaconda.org/conda-forge/kmodes,2022-09-06 23:41:05.253,29570.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +370,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-05-09 22:14:01.000000,2023-05-09 22:14:01,343.0,67.0,169.0,23.0,25.0,1.0,122.0,989.0,"Multivariate exploratory data analysis in Python: PCA, CA, MCA, MFA, FAMD, GPA.",14.0,28,True,2023-05-02 16:00:01.147,0.10.4,51.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],372.0,363.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000,9.0,49540.0,49905.0,https://anaconda.org/conda-forge/prince-factor-analysis,2021-04-30 17:46:15.443,15369.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +371,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2023-05-03 21:06:59.000000,2023-05-03 21:06:59,479.0,6.0,111.0,31.0,121.0,21.0,72.0,805.0,Python bindings and utilities for GeoJSON.,53.0,28,True,,,10.0,geojson,conda-forge/geojson,,,,12513.0,12513.0,https://pypi.org/project/geojson,,,1081106.0,1089297.0,https://anaconda.org/conda-forge/geojson,2023-02-16 15:57:19.825,704509.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +372,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2023-04-29 05:36:35.000000,2023-04-29 03:11:10,1298.0,4.0,149.0,49.0,55.0,20.0,63.0,800.0,Computer Vision in Python.,34.0,28,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1167.0,1043.0,https://pypi.org/project/mahotas,2022-06-28 08:11:26.000,124.0,11307.0,15605.0,https://anaconda.org/conda-forge/mahotas,2022-11-05 05:53:35.833,369642.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +373,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-05-24 21:08:10.000000,2023-04-03 15:25:17,15573.0,12.0,355.0,43.0,1585.0,255.0,2940.0,769.0,An open-source application for biological image analysis.,134.0,28,True,2022-12-15 14:58:00.393,4.2.5,47.0,cellprofiler,,,,,20.0,19.0,https://pypi.org/project/cellprofiler,2022-12-15 14:58:00.393,1.0,735.0,779.0,,,,,,,,3.0,4997.0,,,,,,,,,,,,,,,,,, +374,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2023-05-25 01:58:19.000000,2023-05-25 01:58:18,900.0,29.0,146.0,47.0,79.0,37.0,137.0,720.0,Library for exploring and validating machine learning data.,25.0,28,True,2023-04-14 17:32:01.445,1.13.0,43.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",714.0,684.0,https://pypi.org/project/tensorflow-data-validation,2022-12-08 22:44:02.510,30.0,430833.0,430840.0,,,,,,,,3.0,416.0,,,,,,,,,,,,,,,,,, +375,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-05-24 07:02:34.000000,2023-05-21 18:42:50,2829.0,83.0,97.0,15.0,197.0,10.0,106.0,647.0,Python bindings for MPI.,23.0,28,True,2022-11-02 14:23:02.643,3.1.4,21.0,mpi4py,conda-forge/mpi4py,,,,694.0,,https://pypi.org/project/mpi4py,2022-11-02 14:23:02.643,694.0,167155.0,191243.0,https://anaconda.org/conda-forge/mpi4py,2022-11-03 07:59:52.887,1897931.0,,,,,3.0,12404.0,,,,,,,,,,,,,,,,,, +376,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-04-21 11:20:44.000000,2023-04-21 11:20:32,427.0,11.0,100.0,22.0,74.0,16.0,86.0,604.0,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,28,True,2023-04-21 11:05:59.132,1.9.0,38.0,tinytag,,,,,881.0,780.0,https://pypi.org/project/tinytag,2022-03-12 17:51:16.000,101.0,18609.0,18609.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +377,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2023-05-24 18:54:16.000000,2023-05-24 18:54:15,752.0,49.0,119.0,28.0,80.0,28.0,72.0,534.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,17.0,28,True,2023-04-12 21:30:37.709,1.13.1,41.0,ml-metadata,,,,,350.0,329.0,https://pypi.org/project/ml-metadata,2022-12-07 03:17:50.218,21.0,288298.0,288336.0,,,,,,,,3.0,1922.0,,,,,,,,,,,,,,,,,, +378,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-05-25 10:09:51.000000,2023-05-25 09:30:16,753.0,29.0,70.0,28.0,322.0,109.0,213.0,482.0,"Simple, concise geographical visualization in Python.",28.0,28,True,2023-05-25 11:28:27.000,1.10.0,47.0,geoviews,conda-forge/geoviews,,,,708.0,675.0,https://pypi.org/project/geoviews,2023-01-17 09:56:01.356,33.0,6174.0,8914.0,https://anaconda.org/conda-forge/geoviews,2023-01-17 14:38:14.806,169929.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +379,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2022-11-18 23:21:26.000000,2022-11-18 23:21:14,272.0,,104.0,24.0,49.0,35.0,52.0,439.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,23.0,28,True,2022-08-12 20:27:02.876,3.0.0,26.0,audioread,conda-forge/audioread,,,,13395.0,13049.0,https://pypi.org/project/audioread,2022-08-12 20:27:02.876,346.0,1595006.0,1602809.0,https://anaconda.org/conda-forge/audioread,2022-10-29 09:59:12.158,639866.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +380,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-05-04 15:12:45.000000,2023-04-21 11:34:00,561.0,2.0,39.0,16.0,57.0,6.0,25.0,198.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,28,False,2022-10-16 09:56:09.000,0.7.9,44.0,blis,conda-forge/cython-blis,,,,27920.0,27679.0,https://pypi.org/project/blis,2022-10-16 09:05:00.792,241.0,3984524.0,4021434.0,https://anaconda.org/conda-forge/cython-blis,2022-11-15 08:47:23.392,1845514.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +381,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4254.0,1265.0,557.0,752.0,2541.0,17378.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",273.0,27,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,,,https://pypi.org/project/cntk,,,539.0,699.0,,,,,,,,3.0,14102.0,,,,,,,,,,,,,,,,,, +382,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2023-03-10 03:01:44.209724,2022-12-05 17:31:41,1886.0,,791.0,217.0,449.0,44.0,258.0,13435.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",47.0,27,True,2021-06-06 17:14:16.000,5.14.0,29.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,,,37151.0,37563.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-03-10 03:01:44.209724,14.0,18978.0,2.0,,,,,,,,,,,,,,,,,,, +383,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-04-07 22:57:12.000000,2023-03-20 20:52:01,320.0,6.0,1362.0,441.0,46.0,94.0,86.0,10116.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,27,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],39.0,,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,39.0,45209.0,45209.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +384,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-02-18 07:58:21.000000,2023-02-18 07:58:21,3353.0,,1620.0,465.0,698.0,30.0,441.0,7184.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,True,2022-02-15 02:05:47.000,2.2.5,83.0,tensorlayer,,,,['tensorflow'],40.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,40.0,2018.0,2036.0,,,,,,,,2.0,1504.0,,,,,,,,,,,,,,,,,, +385,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-05-24 10:02:10.000000,2023-05-17 23:13:28,5605.0,136.0,676.0,111.0,1454.0,79.0,543.0,6271.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",87.0,27,True,,,37.0,perspective-python,conda-forge/perspective,,,['jupyter'],9.0,9.0,https://pypi.org/project/perspective-python,,,4834.0,16321.0,https://anaconda.org/conda-forge/perspective,2023-05-18 13:26:43.483,345913.0,,,,,3.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,,,1604.0,,,,,,,,,,, +386,snownlp,isnowfy/snownlp,chinese-nlp,,https://github.com/isnowfy/snownlp,https://github.com/isnowfy/snownlp,MIT,2013-11-26 11:46:56.000,2020-01-19 02:39:05.000000,2020-01-19 02:39:03,57.0,,1338.0,347.0,14.0,40.0,65.0,6098.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1193.0,1151.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,42.0,12865.0,12865.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +387,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-05-16 14:34:28.000000,2023-05-16 14:34:28,3237.0,8.0,861.0,136.0,606.0,46.0,1053.0,5938.0,Python library for audio and music analysis.,114.0,27,True,2023-03-17 19:48:03.000,0.10.0.post2,40.0,librosa,conda-forge/librosa,,,,,,https://pypi.org/project/librosa,,,2469374.0,2477100.0,https://anaconda.org/conda-forge/librosa,2023-03-17 20:07:59.717,633590.0,,,,,3.0,,-5.0,,,,,,,,,,,,,,,,, +388,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-05-14 13:28:12.000000,2023-05-14 13:28:09,530.0,11.0,641.0,109.0,153.0,27.0,306.0,4846.0,Python-tesseract is an optical character recognition (OCR) tool for python.,42.0,27,True,2022-03-14 19:28:46.000,0.3.10,23.0,pytesseract,conda-forge/pytesseract,,,,,,https://pypi.org/project/pytesseract,,,940058.0,952311.0,https://anaconda.org/conda-forge/pytesseract,2022-03-15 01:11:17.076,563681.0,,,,,3.0,,-5.0,,,,,,,,,,,,,,,,, +389,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08,1796.0,,780.0,277.0,437.0,221.0,328.0,4787.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,27,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],334.0,293.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,41.0,600.0,600.0,,,,,,,,3.0,15.0,,,,,,,,,,,,,,,,,, +390,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-05-04 03:34:23.000000,2023-03-26 02:17:21,497.0,3.0,639.0,79.0,261.0,84.0,237.0,3995.0,Uplift modeling and causal inference with machine learning algorithms.,49.0,27,True,2022-09-02 21:17:27.000,0.13.0,19.0,causalml,,,,,155.0,154.0,https://pypi.org/project/causalml,2022-03-14 23:38:27.000,1.0,36719.0,36719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +391,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-01-27 10:08:02.000000,2022-11-13 09:58:17,1107.0,,589.0,93.0,259.0,25.0,242.0,3962.0,Geocoding library for Python.,128.0,27,True,2022-11-13 10:17:11.000,2.3.0,35.0,geopy,conda-forge/geopy,,,,,,https://pypi.org/project/geopy,,,4090122.0,4102315.0,https://anaconda.org/conda-forge/geopy,2022-11-13 14:50:04.191,1048644.0,,,,,3.0,,-6.0,,,,,,,,,,,,,,,,, +392,layout-parser,Layout-Parser/layout-parser,image,,https://github.com/Layout-Parser/layout-parser,https://github.com/Layout-Parser/layout-parser,Apache-2.0,2020-06-10 20:22:54.000,2023-03-17 03:25:57.000000,2022-08-06 21:47:18,182.0,,360.0,63.0,51.0,75.0,54.0,3668.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,27,True,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,295.0,289.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,6.0,64622.0,64622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +393,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2022-09-18 19:00:35.403000,2022-09-18 07:45:53,376.0,,237.0,62.0,45.0,,,3113.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",13.0,27,True,2022-09-18 07:47:16.000,4.5.0,11.0,textdistance,conda-forge/textdistance,,,,4177.0,4177.0,https://pypi.org/project/textdistance,,,360178.0,366656.0,https://anaconda.org/conda-forge/textdistance,2022-09-18 19:00:35.403,387877.0,,,,,2.0,899.0,,,,,,,,,,,,,,,,,, +394,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-05-23 20:40:18.000000,2023-05-23 20:40:14,998.0,46.0,425.0,60.0,528.0,4.0,444.0,3018.0,On-device wake word detection powered by deep learning.,35.0,27,True,2023-04-13 00:20:36.000,2.2,30.0,pvporcupine,,,,,31.0,19.0,https://pypi.org/project/pvporcupine,2022-06-28 23:59:24.000,12.0,3540.0,3540.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +395,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-05-19 17:52:25.000000,2023-05-19 17:52:25,508.0,19.0,800.0,63.0,620.0,97.0,391.0,2987.0,A high-performance distributed training framework for Reinforcement Learning.,41.0,27,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],114.0,113.0,https://pypi.org/project/parl,2022-11-28 11:22:00.415,1.0,757.0,757.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +396,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2022-11-05 17:56:10.000000,2022-01-25 17:32:20,4123.0,,357.0,82.0,59.0,151.0,186.0,2961.0,a library for audio and music analysis.,24.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,402.0,376.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,26.0,4173.0,12408.0,https://anaconda.org/conda-forge/aubio,2022-11-02 07:43:43.337,609455.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +397,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2023-04-07 02:31:39.000000,2020-04-27 18:40:41,522.0,,1007.0,166.0,214.0,42.0,146.0,2664.0,Performance analysis of predictive (alpha) stock factors.,25.0,27,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,640.0,622.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,2668.0,2961.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922,18489.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +398,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-02-01 02:48:12.000000,2023-02-01 02:33:14,527.0,,455.0,95.0,40.0,76.0,237.0,2633.0,Learning to Rank in TensorFlow.,31.0,27,True,2023-02-01 19:18:02.496,0.5.2,21.0,tensorflow_ranking,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow_ranking,2021-11-16 01:31:58.000,14.0,199867.0,199867.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +399,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2023-05-23 02:50:52.000000,2023-05-23 02:50:52,1292.0,8.0,307.0,93.0,2146.0,194.0,979.0,2592.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",46.0,27,True,2023-01-10 09:30:53.000,0.10.0,100.0,pymars,,,,,,,https://pypi.org/project/pymars,,,60975.0,60975.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +400,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2023-05-16 07:42:27.000000,2023-05-16 07:26:21,1020.0,2.0,405.0,130.0,129.0,183.0,245.0,2546.0,PYthon svg GrAph plotting Library.,73.0,27,False,2021-11-24 21:07:22.000,3.0.0,75.0,pygal,conda-forge/pygal,,,,633.0,,https://pypi.org/project/pygal,2021-11-24 21:07:22.000,633.0,124288.0,124924.0,https://anaconda.org/conda-forge/pygal,2023-01-20 00:24:48.867,29907.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +401,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-05-16 13:59:02.000000,2022-12-21 19:51:12,2582.0,,315.0,33.0,488.0,39.0,211.0,2353.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",58.0,27,True,2022-11-02 19:43:17.000,0.3.8,45.0,textattack,conda-forge/textattack,,,,183.0,176.0,https://pypi.org/project/textattack,2022-11-02 19:41:01.568,7.0,5949.0,6128.0,https://anaconda.org/conda-forge/textattack,2021-06-29 21:16:15.345,5743.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +402,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-01-31 08:56:28.000000,2018-08-19 12:37:47,130.0,,279.0,65.0,58.0,25.0,39.0,2322.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,27,False,2018-08-19 12:21:01.000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],3464.0,3395.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000,69.0,547246.0,549433.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043,153109.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +403,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-03-10 01:59:56.000000,2023-02-11 12:27:23,1120.0,,332.0,43.0,56.0,59.0,199.0,2256.0,Graph Neural Networks with Keras and Tensorflow 2.,26.0,27,True,2022-07-22 15:16:38.000,1.2,33.0,spektral,,,,['tensorflow'],218.0,211.0,https://pypi.org/project/spektral,2022-07-22 15:05:22.653,7.0,6527.0,6527.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +404,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-05-25 14:02:47.000000,2023-05-25 11:01:26,1500.0,75.0,202.0,46.0,1940.0,6.0,596.0,2220.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,30.0,27,True,2023-05-25 14:24:58.000,1.0.0,22.0,towhee,,,,,,,https://pypi.org/project/towhee,2022-12-02 13:36:05.650,,2035.0,2099.0,,,,,,,,3.0,1091.0,,,,,,,,,,,,,,,,,, +405,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-05-04 14:37:23.000000,2021-07-16 09:03:20,66.0,,463.0,37.0,42.0,64.0,58.0,2025.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1569.0,1555.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,55721.0,60925.0,https://anaconda.org/anaconda/efficientnet,2023-03-16 12:54:55.391,361.0,,,,,3.0,249242.0,,,,,,,,,,,,,,,,,, +406,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2023-05-08 19:08:58.000000,2023-05-08 19:08:52,605.0,17.0,220.0,64.0,30.0,53.0,81.0,2016.0,Fast and Easy Infinite Neural Networks in Python.,25.0,27,True,2023-02-11 00:45:44.000,0.6.2,15.0,neural-tangents,,,,,73.0,73.0,https://pypi.org/project/neural-tangents,,,6067.0,6075.0,,,,,,,,3.0,294.0,,,,,,,,,,,,,,,,,, +407,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-03-14 11:40:28.000000,2022-08-31 08:37:05,12564.0,,84.0,43.0,46.0,10.0,73.0,1975.0,The friendly PIL fork.,385.0,27,False,,,47.0,pillow-simd,,,,,55.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,55.0,60836.0,60836.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +408,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2023-05-16 18:52:59.000000,2023-04-25 08:39:10,204.0,18.0,214.0,44.0,81.0,11.0,112.0,1872.0,A Python library that helps data scientists to infer causation rather than observing correlation.,34.0,27,True,2023-04-20 14:10:47.000,0.12.0,19.0,causalnex,,,,"['pytorch', 'sklearn']",90.0,90.0,https://pypi.org/project/causalnex,,,4039.0,4039.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +409,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-05-24 15:56:46.000000,2023-05-19 21:22:24,802.0,34.0,418.0,63.0,255.0,105.0,88.0,1771.0,Library for training machine learning models with privacy for training data.,53.0,27,True,2023-04-27 17:04:59.523,0.8.9,27.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,2022-10-19 20:29:02.229,14.0,29633.0,29635.0,,,,,,,,2.0,103.0,,,,,,,,,,,,,,,,,, +410,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-05-04 15:34:40.000000,2023-05-04 15:34:39,782.0,8.0,343.0,35.0,786.0,170.0,266.0,1574.0,A Python package to assess and improve fairness of machine learning models.,75.0,27,True,2022-10-28 22:10:03.000,0.8.0,18.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],19.0,,https://pypi.org/project/fairlearn,2022-10-28 21:54:00.949,19.0,122376.0,123051.0,https://anaconda.org/conda-forge/fairlearn,2022-12-02 16:03:10.727,26331.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +411,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-05-23 14:17:10.000000,2023-02-07 16:54:18,386.0,,152.0,25.0,76.0,40.0,33.0,1496.0,A Python package for time series classification.,13.0,27,True,2021-10-31 13:51:09.000,0.12.0,18.0,pyts,conda-forge/pyts,,,,410.0,391.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,109936.0,110354.0,https://anaconda.org/conda-forge/pyts,2021-10-31 15:13:32.850,18844.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +412,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,318.0,75.0,742.0,54.0,168.0,1479.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,24.0,chainercv,,,,,376.0,345.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,31.0,1871.0,1871.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +413,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38,157.0,,154.0,35.0,66.0,16.0,46.0,1259.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,27,False,2021-07-20 07:09:56.000,0.2.5,4.0,torchsde,conda-forge/torchsde,,,['pytorch'],743.0,735.0,https://pypi.org/project/torchsde,2021-07-20 07:09:56.000,8.0,1645264.0,1645860.0,https://anaconda.org/conda-forge/torchsde,2021-07-12 23:43:34.083,16698.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +414,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-05-24 19:53:54.000000,2023-05-19 20:34:02,2794.0,10.0,161.0,26.0,642.0,97.0,409.0,1237.0,A Python library for learning and evaluating knowledge graph embeddings.,35.0,27,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,,5.0,,https://pypi.org/project/pykeen,2023-02-22 18:29:02.145,5.0,2414.0,2418.0,,,,,,,,2.0,158.0,,,,,,,,,,,,,,,,,, +415,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-03-22 21:30:28.000000,2023-03-22 21:16:11,666.0,3.0,157.0,46.0,161.0,18.0,375.0,1204.0,moDel Agnostic Language for Exploration and eXplanation.,24.0,27,False,2023-02-16 21:26:00.740,1.6.0,26.0,dalex,conda-forge/dalex,,,,113.0,107.0,https://pypi.org/project/dalex,2022-09-07 14:45:39.364,6.0,16182.0,16492.0,https://anaconda.org/conda-forge/dalex,2022-09-10 12:54:29.083,8684.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +416,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-05-25 03:12:54.000000,2023-05-25 03:12:53,1327.0,35.0,247.0,74.0,101.0,20.0,51.0,1203.0,Model analysis tools for TensorFlow.,54.0,27,True,2023-04-14 19:45:09.000,0.44.0,55.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/tensorflow-model-analysis,,,222024.0,222024.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +417,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-05-24 22:12:49.444000,2023-05-24 17:19:18,669.0,22.0,138.0,24.0,120.0,1.0,122.0,1188.0,"Extensible, parallel implementations of t-SNE.",11.0,27,True,2023-05-24 13:51:37.000,1.0.0,20.0,opentsne,conda-forge/opentsne,,,,573.0,573.0,https://pypi.org/project/opentsne,,,20965.0,24796.0,https://anaconda.org/conda-forge/opentsne,2023-05-24 22:12:49.444,203083.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +418,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-05-09 22:46:50.000000,2023-03-06 22:06:25,831.0,13.0,254.0,73.0,455.0,35.0,184.0,1153.0,Underthesea - Vietnamese NLP Toolkit.,17.0,27,False,2023-03-04 06:44:00.754,6.2.0,119.0,underthesea,,,,,683.0,659.0,https://pypi.org/project/underthesea,2023-01-25 02:54:00.562,24.0,6024.0,6081.0,,,,,,,,2.0,4143.0,,,,,,,,,,,,,,,,,, +419,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2023-05-19 20:46:53.000000,2021-02-12 19:04:59,2079.0,,238.0,40.0,36.0,65.0,590.0,1074.0,"pyclustering is a Python, C++ data mining library.",26.0,27,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,514.0,482.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,32.0,46475.0,47775.0,https://anaconda.org/conda-forge/pyclustering,2021-09-13 14:29:08.300,53124.0,,,,,3.0,445.0,,,,,,,,,,,,,,,,,, +420,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2023-04-07 02:34:02.000000,2020-10-14 13:22:39,167.0,,336.0,71.0,83.0,27.0,26.0,1056.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1272.0,1130.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,142.0,24793.0,25149.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625,22470.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +421,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-05-25 14:14:52.703000,2023-05-25 01:57:26,741.0,17.0,104.0,30.0,342.0,72.0,267.0,904.0,BAyesian Model-Building Interface (Bambi) in Python.,32.0,27,True,2023-05-25 01:54:00.411,0.11.0,26.0,bambi,conda-forge/bambi,,,,74.0,69.0,https://pypi.org/project/bambi,2022-12-21 12:51:10.967,5.0,10814.0,11290.0,https://anaconda.org/conda-forge/bambi,2023-05-25 14:14:52.703,21436.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +422,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-05-24 15:55:56.000000,2023-05-18 20:19:56,3220.0,153.0,45.0,137.0,401.0,95.0,280.0,876.0,An open-source plotting library for statistical data.,19.0,27,True,2023-05-09 17:00:48.000,3.2.0,61.0,lets-plot,,,,,33.0,32.0,https://pypi.org/project/lets-plot,2022-12-15 12:42:00.536,1.0,9046.0,9056.0,,,,,,,,3.0,455.0,,,,,,,,,,,,,,,,,, +423,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-05-08 21:15:21.000000,2023-04-20 15:11:11,640.0,2.0,94.0,12.0,89.0,62.0,60.0,758.0,A Python nearest neighbor descent for approximate nearest neighbors.,24.0,27,True,2023-04-20 15:29:00.655,0.5.10,29.0,pynndescent,conda-forge/pynndescent,,,,3601.0,3554.0,https://pypi.org/project/pynndescent,2022-10-31 17:20:00.872,47.0,814598.0,844389.0,https://anaconda.org/conda-forge/pynndescent,2023-04-20 20:30:10.737,1400220.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +424,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-05-05 09:32:16.000000,2023-05-05 09:32:16,747.0,365.0,634.0,98.0,147.0,88.0,103.0,8138.0,The next-generation platform to monitor and optimize your AI costs in one place.,39.0,26,True,2023-03-21 15:50:00.812,0.9.1,25.0,nebullvm,,,,,1.0,,https://pypi.org/project/nebullvm,2023-01-23 23:03:00.588,1.0,484.0,484.0,,,,,,,,2.0,,,,,,,,,,,,nebuly-ai/nebuly,,,,,,, +425,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-03-29 01:15:53.000000,2023-03-29 01:15:47,1614.0,1.0,775.0,144.0,1552.0,106.0,125.0,7544.0,Trax Deep Learning with Clear Code and Speed.,78.0,26,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,112.0,111.0,https://pypi.org/project/trax,2021-10-26 20:27:35.000,1.0,8442.0,8442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +426,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-04-15 09:14:42.000000,2023-04-15 09:14:33,211.0,5.0,1257.0,171.0,43.0,64.0,230.0,6284.0,2D and 3D Face alignment library build using pytorch.,25.0,26,True,2021-04-28 22:15:40.000,1.3.4,10.0,face-alignment,,,,['pytorch'],,,https://pypi.org/project/face-alignment,,,52108.0,52108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +427,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2023-05-22 17:50:43.000000,2023-05-22 17:50:38,590.0,6.0,681.0,104.0,577.0,56.0,343.0,5188.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,56.0,26,True,2020-04-03 19:06:25.000,0.4.0,1.0,t5,,,,['tensorflow'],169.0,169.0,https://pypi.org/project/t5,,,22113.0,22113.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +428,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-05-25 09:45:26.000000,2023-04-27 08:22:41,11436.0,102.0,1467.0,141.0,3121.0,716.0,969.0,5026.0,An Industrial Grade Federated Learning Framework.,91.0,26,True,2023-04-21 07:09:32.000,1.11.1,43.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +429,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-05-16 07:53:13.000000,2023-04-27 20:08:56,632.0,1.0,964.0,283.0,226.0,10.0,355.0,3849.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,26,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,273285.0,273718.0,https://anaconda.org/conda-forge/tensorflowonspark,2022-08-21 17:05:30.737,17772.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +430,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2023-05-22 16:10:15.000000,2021-05-03 12:18:31,2154.0,,511.0,137.0,649.0,64.0,197.0,3796.0,Snips Python library to extract meaning from text.,22.0,26,False,2020-01-15 10:13:17.000,0.20.2,58.0,snips-nlu,,,,,13.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,13.0,2114.0,2114.0,,,,,,,,3.0,,3.0,,,,,,,,,,,,,,,,, +431,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2023-05-18 04:24:55.000000,2023-04-21 09:54:21,207.0,7.0,303.0,87.0,88.0,47.0,31.0,3337.0,Python library that makes it easy for data scientists to create charts.,25.0,26,True,2023-04-21 09:57:00.838,4.0.3,23.0,chartify,conda-forge/chartify,,,,81.0,71.0,https://pypi.org/project/chartify,2022-12-13 09:39:32.472,10.0,3649.0,4134.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628,26228.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +432,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2023-05-07 08:34:35.000000,2023-05-06 14:09:10,264.0,14.0,355.0,36.0,48.0,55.0,170.0,3280.0,An Open-Source Framework for Prompt-Learning.,20.0,26,True,2022-04-20 04:58:40.000,1.0.0,4.0,openprompt,,,,,52.0,52.0,https://pypi.org/project/openprompt,,,3296.0,3296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +433,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2022-01-18 22:03:55.000000,2020-12-08 16:56:38,17588.0,,1022.0,218.0,3648.0,418.0,1108.0,2946.0,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1797.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070,125097.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1499.0,3.0,,,,,,,,,shogun,,,,,,,,,, +434,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-04-10 11:32:04.424000,2023-02-28 07:05:02,2087.0,19.0,667.0,165.0,55.0,7.0,595.0,2815.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,26.0,26,True,2023-02-28 18:11:51.000,1.5.0,19.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,893.0,https://anaconda.org/bioconda/deepvariant,2023-04-10 11:32:04.424,52636.0,,,,,3.0,4642.0,,,,,,,,,,,,,,,,,, +435,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2023-01-26 05:17:02.000000,2023-01-26 03:44:01,995.0,,221.0,60.0,102.0,4.0,250.0,2789.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,13.0,26,True,2023-01-26 04:36:18.837,0.3.0,20.0,vidgear,,,,,405.0,396.0,https://pypi.org/project/vidgear,2023-01-26 04:36:18.837,9.0,7667.0,7682.0,,,,,,,,3.0,799.0,,,,,,,,,,,,,,,,,, +436,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-04-13 18:40:07.000000,2021-06-22 10:51:48,116.0,,464.0,98.0,49.0,52.0,253.0,2689.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,26,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,628.0,628.0,https://pypi.org/project/neuralcoref,,,3417.0,3786.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453,14071.0,,,,,3.0,686.0,,,,,,,,,,,,,,,,,, +437,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2022-05-14 05:59:23.776000,2020-01-22 07:39:36,1198.0,,329.0,68.0,167.0,164.0,112.0,2666.0,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,88.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,88.0,374607.0,376509.0,https://anaconda.org/conda-forge/eli5,2022-05-14 05:59:23.776,136988.0,,,,,2.0,,4.0,,,,,,,,,,,,,,,,, +438,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-05-25 00:42:51.000000,2023-05-25 00:42:46,469.0,6.0,297.0,64.0,314.0,39.0,118.0,2505.0,DDSP: Differentiable Digital Signal Processing.,32.0,26,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],40.0,39.0,https://pypi.org/project/ddsp,2022-10-04 01:08:40.505,1.0,38086.0,38476.0,https://anaconda.org/conda-forge/ddsp,2020-06-08 12:59:15.975,13654.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +439,Enigma Catalyst,scrtlabs/catalyst,financial-data,,https://github.com/scrtlabs/catalyst,https://github.com/scrtlabs/catalyst,Apache-2.0,2017-06-13 22:31:34.000,2022-11-26 14:07:55.000000,2021-09-22 15:31:55,6364.0,,705.0,166.0,94.0,134.0,358.0,2419.0,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,179.0,179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +440,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-05-06 19:23:59.000000,2023-05-06 19:23:59,384.0,12.0,276.0,56.0,14.0,18.0,78.0,2093.0,Beautiful visualizations of how language differs among document types.,14.0,26,True,2017-03-13 05:31:21.000,0.0.2.4.4,18.0,scattertext,conda-forge/scattertext,,,,391.0,391.0,https://pypi.org/project/scattertext,,,7962.0,9095.0,https://anaconda.org/conda-forge/scattertext,2022-12-08 14:02:02.569,78234.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +441,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2023-05-19 17:35:13.000000,2022-11-04 13:55:21,405.0,,659.0,89.0,226.0,139.0,87.0,2036.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",63.0,26,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,251.0,251.0,https://pypi.org/project/aif360,,,5787.0,5972.0,https://anaconda.org/conda-forge/aif360,2022-09-04 13:59:05.366,5931.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +442,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-03-14 17:59:54.000000,2022-09-28 17:12:28,249.0,,226.0,24.0,315.0,68.0,37.0,2016.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,26,True,2022-09-28 06:56:26.000,0.2.10,2.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],538.0,538.0,https://pypi.org/project/lazypredict,,,20923.0,21016.0,https://anaconda.org/conda-forge/lazypredict,2022-09-29 02:32:55.756,1956.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +443,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-05-17 02:33:41.000000,2022-07-27 21:58:40,452.0,,306.0,61.0,138.0,20.0,72.0,2000.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,18.0,26,True,2022-07-27 22:00:22.000,3.2.4,20.0,pytextrank,,,,,400.0,400.0,https://pypi.org/project/pytextrank,,,44908.0,44908.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +444,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-05-15 21:22:36.000000,2023-05-15 21:21:45,660.0,2.0,179.0,34.0,131.0,3.0,120.0,1833.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,115.0,113.0,https://pypi.org/project/norfair,2023-01-04 21:42:02.301,2.0,11970.0,11978.0,,,,,,,,3.0,273.0,,,,,,,,,,,,,,,,,, +445,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-05-04 14:44:22.000000,2023-01-04 06:06:27,1221.0,,286.0,56.0,1313.0,229.0,810.0,1687.0,A toolkit for reproducible reinforcement learning research.,79.0,26,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],86.0,84.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,970.0,970.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +446,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-05-25 01:25:58.000000,2023-05-25 01:18:20,519.0,69.0,229.0,49.0,339.0,7.0,61.0,1534.0,A lightweight library for PyTorch training tools and utilities.,86.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,7239.0,7239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +447,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-04-20 14:53:46.000000,2023-04-20 14:53:46,460.0,4.0,238.0,50.0,48.0,20.0,91.0,1503.0,Contextually-keyed word vectors.,19.0,26,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,274.0,261.0,https://pypi.org/project/sense2vec,2022-12-08 12:22:00.117,13.0,4914.0,6528.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752,32670.0,,,,,3.0,53240.0,,,,,,,,,,,,,,,,,, +448,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2023-05-25 14:33:52.000000,2023-05-25 12:07:56,996.0,47.0,144.0,20.0,311.0,60.0,194.0,1433.0,Scalable and user friendly neural forecasting algorithms.,25.0,26,True,2023-04-22 19:31:00.908,1.5.0,15.0,neuralforecast,conda-forge/neuralforecast,,,,22.0,19.0,https://pypi.org/project/neuralforecast,2022-12-15 17:44:32.048,3.0,5260.0,5739.0,https://anaconda.org/conda-forge/neuralforecast,2023-04-22 21:14:22.331,6717.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +449,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2022-08-19 13:16:19.000000,2022-06-21 11:53:05,286.0,,233.0,50.0,183.0,53.0,119.0,1332.0,Metric learning algorithms in Python.,22.0,26,True,2020-07-02 12:59:23.000,0.6.2,10.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],284.0,272.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000,12.0,21442.0,21688.0,https://anaconda.org/conda-forge/metric-learn,2020-07-02 13:51:25.681,9369.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +450,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-05-25 13:55:01.000000,2023-05-24 18:30:07,5941.0,155.0,240.0,46.0,2159.0,279.0,1174.0,1301.0,cuGraph - RAPIDS Graph Analytics Library.,100.0,26,True,2023-04-12 21:33:55.000,23.04.00,26.0,cugraph,conda-forge/libcugraph,,,,2.0,2.0,https://pypi.org/project/cugraph,,,188.0,765.0,https://anaconda.org/conda-forge/libcugraph,2021-04-29 03:53:20.856,14438.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +451,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-03-02 15:10:38.000000,2023-03-02 15:04:42,512.0,2.0,383.0,31.0,43.0,12.0,113.0,1241.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,26.0,26,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,406.0,390.0,https://pypi.org/project/minisom,2022-02-25 07:49:30.000,16.0,15167.0,15167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +452,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2022-12-22 14:52:10.000000,2022-12-22 14:52:10,805.0,,144.0,37.0,214.0,108.0,152.0,1166.0,Real-time stream processing for python.,48.0,26,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,430.0,393.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,37.0,15200.0,24978.0,https://anaconda.org/conda-forge/streamz,2022-07-28 13:12:55.935,664952.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +453,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17,202.0,,172.0,25.0,35.0,1.0,114.0,1165.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1419.0,1388.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,31.0,10680.0,10680.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +454,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-05-24 00:41:44.000000,2023-05-24 00:41:44,629.0,134.0,70.0,19.0,193.0,40.0,134.0,1148.0,Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/.,28.0,26,True,2023-05-22 05:31:51.000,0.10.4,26.0,equinox,,,,['jax'],147.0,147.0,https://pypi.org/project/equinox,,,6261.0,6261.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +455,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2023-02-10 17:37:45.000000,2023-02-10 17:34:25,45.0,,274.0,56.0,40.0,16.0,81.0,1134.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,9.0,26,True,2023-02-10 17:39:01.461,0.5.2,19.0,stockstats,,,,,877.0,847.0,https://pypi.org/project/stockstats,2022-11-19 14:23:00.863,30.0,9917.0,9917.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +456,TFEncrypted,tf-encrypted/tf-encrypted,privacy-ml,,https://github.com/tf-encrypted/tf-encrypted,https://github.com/tf-encrypted/tf-encrypted,Apache-2.0,2018-03-21 18:22:13.000,2023-05-09 08:45:29.000000,2023-02-08 02:25:50,604.0,,200.0,53.0,455.0,138.0,291.0,1128.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,26,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],73.0,64.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,471.0,471.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +457,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-05-23 06:58:55.000000,2023-05-05 17:20:52,1099.0,6.0,230.0,38.0,65.0,49.0,202.0,1123.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,26,True,2023-05-05 17:25:40.000,2.1.0,4.0,innvestigate,,,,['tensorflow'],103.0,103.0,https://pypi.org/project/innvestigate,,,782.0,788.0,,,,,,,,2.0,58.0,,,,,,,,,,,,,,,,,, +458,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-05-12 05:16:25.000000,2023-05-09 23:10:54,921.0,25.0,98.0,26.0,105.0,22.0,42.0,1107.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",20.0,26,True,2023-03-12 22:51:16.000,1.3.17,41.0,imodels,,,,,51.0,47.0,https://pypi.org/project/imodels,2022-07-03 02:47:15.000,4.0,31613.0,31613.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +459,Neural Structured Learning,tensorflow/neural-structured-learning,tensorflow-utils,,https://github.com/tensorflow/neural-structured-learning,https://github.com/tensorflow/neural-structured-learning,Apache-2.0,2019-08-27 21:48:16.000,2023-04-26 22:41:14.000000,2023-04-26 22:41:12,563.0,9.0,191.0,48.0,61.0,1.0,67.0,969.0,Training neural models with structured signals.,37.0,26,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],351.0,348.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,17203.0,17203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +460,GPyOpt,SheffieldML/GPyOpt,hyperopt,,https://github.com/SheffieldML/GPyOpt,https://github.com/SheffieldML/GPyOpt,BSD-3-Clause,2014-08-13 09:58:25.000,2023-01-17 18:04:41.000000,2023-01-17 18:04:41,515.0,,249.0,42.0,72.0,103.0,188.0,878.0,Gaussian Process Optimization using GPy.,49.0,26,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,472.0,434.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,38.0,9192.0,9192.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +461,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-04-05 15:21:21.000000,2022-09-28 08:58:38,127.0,,101.0,22.0,91.0,28.0,71.0,856.0,Python 3.6+ toolbox for submitting jobs to Slurm.,23.0,26,True,2022-07-20 17:19:06.753,1.4.5,20.0,submitit,conda-forge/submitit,,,,1238.0,1227.0,https://pypi.org/project/submitit,2022-07-20 17:19:06.753,11.0,119166.0,119786.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745,20485.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +462,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-05-24 14:25:56.000000,2023-05-24 14:25:38,5659.0,142.0,73.0,13.0,74.0,203.0,218.0,797.0,"Experiment tracking, ML developer tools.",26.0,26,True,2022-05-11 01:13:36.000,0.8.1,2.0,guildai,,,,,77.0,77.0,https://pypi.org/project/guildai,,,3244.0,3244.0,,,,,,,,3.0,11.0,,,,,,,,,,,,,,,,,, +463,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-03-08 23:46:32.000000,2023-03-06 13:54:05,3661.0,2.0,314.0,67.0,669.0,34.0,516.0,785.0,The Classical Language Toolkit.,120.0,26,True,2022-10-13 00:35:24.094,1.1.6,202.0,cltk,,,,,278.0,236.0,https://pypi.org/project/cltk,2022-10-13 00:35:24.094,42.0,1536.0,1536.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,, +464,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2023-05-24 08:05:00.000000,2023-05-24 07:56:20,731.0,56.0,47.0,11.0,94.0,34.0,81.0,729.0,Visualize large time series data with plotly.py.,10.0,26,True,2023-03-08 16:15:16.000,0.8.3.2,52.0,plotly-resampler,conda-forge/plotly-resampler,,,,297.0,292.0,https://pypi.org/project/plotly-resampler,2022-06-29 16:22:00.000,5.0,302161.0,303309.0,https://anaconda.org/conda-forge/plotly-resampler,2023-04-10 14:51:47.234,18374.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +465,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2023-05-13 16:14:11.874000,2023-05-13 06:37:52,1255.0,19.0,116.0,26.0,390.0,13.0,109.0,715.0,A Comparative Framework for Multimodal Recommender Systems.,16.0,26,True,2023-05-13 06:40:19.000,1.15.4,46.0,cornac,conda-forge/cornac,,,,160.0,160.0,https://pypi.org/project/cornac,,,49159.0,55315.0,https://anaconda.org/conda-forge/cornac,2023-05-13 16:14:11.874,295501.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +466,pyRiemann,pyRiemann/pyRiemann,medical-data,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2023-05-22 19:51:59.000000,2023-05-22 19:51:59,493.0,19.0,147.0,31.0,151.0,7.0,88.0,493.0,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,25.0,26,True,2023-02-15 09:30:13.000,0.4,10.0,pyriemann,,,https://pyriemann.readthedocs.io/en/latest/,,262.0,246.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,16.0,42005.0,42005.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +467,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-05-25 14:08:40.000000,2021-12-20 23:24:01,1186.0,,149.0,20.0,644.0,23.0,207.0,441.0,A package built to support working with spatial data using open source python.,43.0,26,False,2021-10-01 22:50:41.000,0.9.4,14.0,earthpy,conda-forge/earthpy,,,,221.0,221.0,https://pypi.org/project/earthpy,,,6319.0,7604.0,https://anaconda.org/conda-forge/earthpy,2021-10-04 19:35:49.510,62974.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +468,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2022-06-30 18:26:21.000000,2019-12-05 08:17:22,46.0,,209.0,23.0,16.0,45.0,23.0,420.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7082.0,6801.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,281.0,281459.0,282491.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2020-04-03 10:45:56.342,38212.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +469,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-05-03 06:31:14.000000,2022-12-22 21:34:29,574.0,,76.0,28.0,313.0,60.0,27.0,351.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,26,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],263.0,256.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,69198.0,69198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +470,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2023-04-28 09:54:50.121000,2023-04-23 19:36:56,216.0,1.0,49.0,14.0,193.0,9.0,182.0,261.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",12.0,26,False,2023-04-23 19:42:01.507,3.7.0,69.0,pystan,conda-forge/pystan,,,,258.0,,https://pypi.org/project/pystan,2022-11-26 14:15:01.276,258.0,2075620.0,2106624.0,https://anaconda.org/conda-forge/pystan,2023-04-28 09:54:50.121,2294297.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +471,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-05-25 14:22:01.000000,2023-05-25 14:10:35,1455.0,292.0,499.0,94.0,1407.0,66.0,439.0,10429.0,Qdrant - Vector Database for the next generation of AI applications. Also available in the cloud..,50.0,25,True,2023-05-24 09:17:15.000,1.2.0,46.0,,,,,,,,,,,,0.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,, +472,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-05-25 08:17:11.472525,,,,685.0,,,501.0,,6923.0,NumPy & SciPy for GPU.,257.0,25,True,2023-05-25 03:00:41.080,12.1.0,134.0,cupy,conda-forge/cupy,cupy/cupy,,,189.0,,https://pypi.org/project/cupy,2023-01-19 07:50:52.374,189.0,21218.0,85016.0,https://anaconda.org/conda-forge/cupy,2023-04-18 05:11:58.408,2711959.0,https://hub.docker.com/r/cupy/cupy,2023-05-25 08:17:11.472525,11.0,56972.0,3.0,,,,,,,,,,,,,,,,,,, +473,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2022-09-22 23:59:19.000000,2022-09-22 23:59:07,1084.0,,979.0,185.0,325.0,334.0,291.0,5725.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,True,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,111.0,108.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,434.0,489.0,,,,,,,,3.0,3640.0,,,,,,,,,,,,,,,,,, +474,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22,108.0,,581.0,139.0,30.0,55.0,52.0,5394.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,25,False,,,1.0,flashtext,conda-forge/flashtext,,,,1195.0,1195.0,https://pypi.org/project/flashtext,,,823810.0,824249.0,https://anaconda.org/conda-forge/flashtext,2020-07-16 16:37:59.996,14933.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +475,Lucid,tensorflow/lucid,interpretability,,https://github.com/tensorflow/lucid,https://github.com/tensorflow/lucid,Apache-2.0,2018-01-25 17:41:44.000,2023-02-06 16:41:16.000000,2021-03-19 15:48:33,667.0,,613.0,162.0,130.0,74.0,101.0,4543.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,25,False,2021-03-19 15:59:35.000,0.3.10,15.0,lucid,,,,['tensorflow'],720.0,720.0,https://pypi.org/project/lucid,,,642.0,642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +476,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-04-28 17:26:08.000000,2023-04-28 16:55:30,521.0,7.0,409.0,62.0,86.0,24.0,81.0,4540.0,Finding duplicate images made easy!.,15.0,25,True,2023-04-28 17:26:08.000,0.3.2,8.0,imagededup,,,,['tensorflow'],45.0,45.0,https://pypi.org/project/imagededup,,,1767.0,1767.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +477,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-05-24 17:02:11.000000,2023-05-24 17:02:11,3124.0,111.0,566.0,88.0,3444.0,262.0,1189.0,4417.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,82.0,25,True,2023-05-23 15:25:00.000,1.26.0,66.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +478,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2023-01-11 07:30:37.000000,2022-08-23 22:54:23,1046.0,,982.0,239.0,214.0,51.0,198.0,4182.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,47.0,46.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,608.0,712.0,https://anaconda.org/conda-forge/tensortrade,2021-05-10 20:10:14.115,2600.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +479,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2022-11-11 08:07:23.000000,2022-04-01 13:57:36,131.0,,938.0,141.0,30.0,38.0,77.0,3961.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,25,False,2014-11-17 16:34:37.000,0.5,1.0,vadersentiment,conda-forge/vadersentiment,,,,6734.0,6734.0,https://pypi.org/project/vadersentiment,,,257710.0,258178.0,https://anaconda.org/conda-forge/vadersentiment,2021-03-22 07:41:03.629,12189.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +480,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,931.0,218.0,408.0,115.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,25,False,2015-08-13 21:00:09.000,0.1,1.0,lasagne,,,,,990.0,990.0,https://pypi.org/project/lasagne,,,2795.0,2795.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +481,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2022-10-26 06:08:44.000000,2021-05-10 18:34:53,57.0,,403.0,39.0,54.0,97.0,43.0,3818.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,25,False,,,,torchsummary,,,,['pytorch'],9383.0,9383.0,https://pypi.org/project/torchsummary,,,159176.0,159176.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +482,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2022-08-23 09:45:09.000000,2022-06-05 10:44:18,1342.0,,513.0,108.0,71.0,184.0,115.0,3045.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,25,True,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,118.0,118.0,https://pypi.org/project/xlearn,,,3203.0,3266.0,,,,,,,,3.0,3909.0,,,,,,,,,,,,,,,,,, +483,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-05-08 02:46:41.000000,2023-05-05 16:36:30,174.0,3.0,339.0,169.0,76.0,81.0,99.0,2883.0,A deep learning library for video understanding research.,52.0,25,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,7.0,20879.0,20879.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +484,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-05-19 07:27:25.000000,2023-05-19 07:27:25,4223.0,40.0,499.0,43.0,967.0,100.0,617.0,2646.0,"A unified, comprehensive and efficient recommendation library.",63.0,25,True,2022-10-05 02:45:00.000,1.1.1,9.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2022-10-05 02:00:00.642,2.0,3747.0,3858.0,https://anaconda.org/aibox/recbole,2022-10-05 02:30:11.592,3339.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +485,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-03-18 16:45:36.000000,2022-10-05 16:26:03,376.0,,205.0,48.0,480.0,30.0,70.0,2544.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,True,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,126.0,123.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,11240.0,11240.0,,,,,,,,3.0,47.0,,,,,,,,,,,,,,,,,, +486,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2022-07-16 23:44:23.000000,2021-07-10 15:56:42,447.0,,253.0,56.0,56.0,19.0,50.0,2172.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,25,False,2019-11-04 05:16:00.000,0.5.0,5.0,pytorch-nlp,,,,['pytorch'],531.0,531.0,https://pypi.org/project/pytorch-nlp,,,11041.0,11041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +487,Hyperas,maxpumperla/hyperas,hyperopt,,https://github.com/maxpumperla/hyperas,https://github.com/maxpumperla/hyperas,MIT,2016-02-19 14:45:10.000,2023-01-05 06:02:49.000000,2023-01-05 06:02:49,213.0,,312.0,66.0,38.0,96.0,160.0,2153.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,25,True,,,,hyperas,,,,['tensorflow'],304.0,304.0,https://pypi.org/project/hyperas,,,11732.0,11732.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +488,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13,118.0,,234.0,69.0,20.0,92.0,66.0,2034.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,257.0,241.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,16.0,69694.0,69694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +489,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-04-13 16:29:12.000000,2021-07-09 11:06:18,56.0,,473.0,41.0,23.0,63.0,38.0,1987.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,25,False,,,2.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],3543.0,3543.0,https://pypi.org/project/mtcnn,,,48747.0,48978.0,https://anaconda.org/conda-forge/mtcnn,2021-08-17 17:36:21.436,9015.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +490,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-03-26 20:34:16.000000,2023-03-26 20:34:16,2287.0,10.0,223.0,40.0,33.0,4.0,104.0,1900.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,25,False,2022-12-04 19:04:05.000,_10304,100.0,karateclub,conda-forge/karateclub,,,,158.0,158.0,https://pypi.org/project/karateclub,,,4196.0,4727.0,https://anaconda.org/conda-forge/karateclub,2022-01-28 14:45:25.910,18084.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +491,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2023-03-04 16:25:52.000000,2022-08-12 15:43:09,249.0,,185.0,30.0,57.0,24.0,82.0,1890.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,13.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],251.0,245.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,6.0,4659.0,4858.0,https://anaconda.org/conda-forge/checklist,2021-07-15 13:35:51.684,5576.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +492,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2022-02-12 03:29:55.000000,2022-02-12 02:32:06,1636.0,,156.0,60.0,65.0,65.0,129.0,1777.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,281.0,281.0,https://pypi.org/project/hypertools,,,834.0,834.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,, +493,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2023-05-01 16:13:30.000000,2023-04-26 11:40:38,555.0,7.0,97.0,47.0,420.0,51.0,100.0,1502.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,28.0,25,True,2023-05-01 16:13:30.000,1.1.8,25.0,hivemind,,,,,63.0,58.0,https://pypi.org/project/hivemind,2023-01-07 15:04:26.425,5.0,2118.0,2118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +494,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-05-11 17:22:34.000000,2023-04-11 16:36:03,155.0,5.0,161.0,97.0,181.0,26.0,24.0,1445.0,fklearn: Functional Machine Learning.,52.0,25,True,2023-04-12 12:55:38.000,2.3.1,27.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,,,3157.0,3157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +495,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-05-25 11:32:09.000000,2023-05-25 06:49:33,1123.0,93.0,258.0,27.0,1089.0,109.0,73.0,1437.0,Pytorch domain library for recommendation systems.,155.0,25,True,2023-03-15 20:48:02.000,0.4.0,77.0,torchrec-nightly-cpu,,,,,,,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +496,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-05-16 13:01:43.000000,2023-05-16 13:01:43,657.0,1.0,236.0,48.0,310.0,95.0,14.0,1420.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,25,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],852.0,819.0,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,33.0,31160.0,31160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +497,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2022-08-04 10:28:06.000000,2022-08-04 10:15:01,159.0,,238.0,48.0,84.0,21.0,187.0,1335.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,25,True,2022-05-03 10:56:08.000,0.4.2,2.0,gplearn,conda-forge/gplearn,,,['sklearn'],383.0,383.0,https://pypi.org/project/gplearn,,,4675.0,4823.0,https://anaconda.org/conda-forge/gplearn,2022-05-04 12:26:24.517,5198.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +498,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2023-05-24 03:48:46.000000,2023-05-24 03:48:46,461.0,28.0,276.0,52.0,104.0,43.0,29.0,1332.0,Interpretability and explainability of data and machine learning models.,40.0,25,True,2020-10-28 09:32:21.000,0.2.1,2.0,aix360,,,,,73.0,73.0,https://pypi.org/project/aix360,,,770.0,770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +499,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2023-05-16 19:45:48.410000,2023-05-16 02:19:29,158.0,5.0,169.0,32.0,16.0,,69.0,1320.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,25,True,,,33.0,autoviz,conda-forge/autoviz,,,,438.0,438.0,https://pypi.org/project/autoviz,,,29982.0,31602.0,https://anaconda.org/conda-forge/autoviz,2023-05-16 19:45:48.410,34025.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +500,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-03-28 09:37:28.258000,2022-12-07 10:32:49,237.0,,249.0,1.0,1.0,1.0,,1313.0,Feature engineering package with sklearn like functionality.,38.0,25,True,2023-03-27 17:15:13.530,1.6.0,36.0,feature_engine,conda-forge/feature_engine,,,,68.0,,https://pypi.org/project/feature_engine,2022-11-22 11:29:10.203,68.0,157459.0,158440.0,https://anaconda.org/conda-forge/feature_engine,2023-03-28 09:37:28.258,32383.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +501,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-03-01 01:21:38.000000,2022-07-03 12:07:58,412.0,,319.0,37.0,295.0,20.0,198.0,1093.0,A research toolkit for particle swarm optimization in Python.,44.0,25,True,2020-11-14 05:18:38.000,.1.2.0,15.0,pyswarms,,,,,260.0,260.0,https://pypi.org/project/pyswarms,,,7912.0,7912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +502,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-05-09 13:13:37.000000,2023-05-09 13:13:30,199.0,4.0,74.0,32.0,99.0,15.0,18.0,1025.0,A library of reinforcement learning building blocks in JAX.,21.0,25,True,2023-01-09 22:29:35.947,0.1.5,9.0,rlax,,,,['jax'],137.0,132.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,5.0,164414.0,164414.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +503,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2023-03-04 09:51:38.000000,2023-03-04 09:51:32,452.0,5.0,99.0,21.0,296.0,27.0,238.0,1011.0,Extra blocks for scikit-learn pipelines.,57.0,25,True,2022-11-02 11:39:40.000,0.6.14,40.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],99.0,92.0,https://pypi.org/project/scikit-lego,2022-11-02 11:38:02.263,7.0,27102.0,27983.0,https://anaconda.org/conda-forge/scikit-lego,2022-11-03 07:39:39.512,37883.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +504,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,,2013-12-23 17:02:11.000,2023-03-16 19:17:40.741000,2023-02-20 00:24:10,1723.0,,176.0,40.0,173.0,57.0,173.0,869.0,A Jupyter - Three.js bridge.,30.0,25,False,2022-08-31 09:02:38.000,2.4.1,18.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],26.0,26.0,https://pypi.org/project/pythreejs,,,87064.0,97162.0,https://anaconda.org/conda-forge/pythreejs,2023-03-16 19:17:40.741,483165.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,,,4347.0,,,,,,,,,,, +505,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-05-25 12:36:56.000000,2023-05-16 18:55:19,1623.0,109.0,323.0,56.0,389.0,129.0,234.0,836.0,Machine learning on FPGAs using HLS.,53.0,25,True,2023-05-13 15:59:00.678,0.7.1,13.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2021-11-12 12:26:50.000,,718.0,901.0,https://anaconda.org/conda-forge/hls4ml,2021-11-12 15:38:42.855,5871.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +506,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2023-05-25 12:27:48.000000,2023-05-25 12:27:43,958.0,342.0,44.0,12.0,175.0,35.0,220.0,674.0,"Develop ML faster. Easily and cost-effectively run dev environments, pipelines, and apps in any cloud.",12.0,25,True,2023-05-22 13:14:52.000,0.9.1,18.0,dstack,,,,,11.0,11.0,https://pypi.org/project/dstack,,,1278.0,1278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +507,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2023-05-24 20:04:17.000000,2023-05-24 20:04:14,3628.0,26.0,66.0,46.0,332.0,31.0,375.0,535.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,39.0,25,False,2023-01-19 17:28:00.723,3.2.0,67.0,skll,conda-forge/skll,,,['sklearn'],57.0,39.0,https://pypi.org/project/skll,2023-01-19 17:28:00.723,18.0,396.0,711.0,https://anaconda.org/conda-forge/skll,2023-01-20 04:06:34.576,5683.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,, +508,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2023-05-03 09:05:44.000000,2023-03-05 05:31:37,737.0,9.0,78.0,13.0,28.0,3.0,44.0,310.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,15.0,25,True,2023-03-05 05:35:05.094,3.0.1,56.0,pymap3d,conda-forge/pymap3d,,,,286.0,267.0,https://pypi.org/project/pymap3d,2022-07-03 21:24:08.000,19.0,64065.0,65415.0,https://anaconda.org/conda-forge/pymap3d,2023-04-18 07:26:32.998,51322.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +509,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-04-15 09:46:41.000000,2023-02-15 20:15:59,196.0,,467.0,77.0,36.0,51.0,26.0,9789.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,24,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,28.0,28.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,3684.0,3782.0,https://anaconda.org/conda-forge/prettymaps,2023-02-18 18:16:34.802,1582.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +510,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-05-13 09:11:03.000000,2022-11-08 22:11:16,98.0,,1648.0,198.0,67.0,74.0,33.0,8966.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,24,True,,,,english-words,,,,,,,https://pypi.org/project/english-words,,,326299.0,326299.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +511,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2023-05-25 00:26:30.000000,2023-05-25 00:24:10,171.0,171.0,402.0,66.0,61.0,34.0,63.0,6522.0,"Pandas AI is a Python library that integrates generative artificial intelligence capabilities into Pandas, making..",21.0,24,True,2023-05-25 00:26:30.000,0.2.15,16.0,pandas-ai,,,,,47.0,47.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +512,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2023-05-22 23:19:54.000000,2023-05-19 19:16:41,1088.0,9.0,878.0,117.0,669.0,105.0,540.0,5234.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,113.0,24,True,2019-08-26 19:04:21.000,0.3.1,2.0,mmf,,,,['pytorch'],14.0,14.0,https://pypi.org/project/mmf,,,338.0,338.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +513,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-05-24 21:51:42.000000,2023-05-19 00:23:08,1425.0,75.0,742.0,141.0,1304.0,296.0,389.0,4280.0,Simple and Distributed Machine Learning.,110.0,24,True,2023-04-24 23:13:08.000,0.11.1,29.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +514,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-04-28 04:08:34.000000,2023-03-05 22:07:59,1158.0,2.0,1346.0,351.0,56.0,52.0,84.0,4023.0,Python Algorithmic Trading Library.,11.0,24,True,,,8.0,pyalgotrade,,,,,178.0,157.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,992.0,992.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +515,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2022-12-25 20:03:53.000000,2022-12-25 20:03:53,522.0,,674.0,175.0,78.0,4.0,260.0,3925.0,A python wrapper for Alpha Vantage API for financial data.,42.0,24,True,2020-12-21 02:37:29.000,2.3.1,5.0,alpha_vantage,conda-forge/alpha_vantage,,,,,,https://pypi.org/project/alpha_vantage,,,23363.0,23488.0,https://anaconda.org/conda-forge/alpha_vantage,2021-01-14 18:10:30.064,3520.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +516,Stable Baselines,hill-a/stable-baselines,reinforcement-learning,,https://github.com/hill-a/stable-baselines,https://github.com/hill-a/stable-baselines,MIT,2018-07-02 14:28:59.000,2022-09-04 14:04:44.000000,2022-09-04 14:04:44,839.0,,708.0,66.0,247.0,120.0,820.0,3825.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,True,2021-04-06 12:37:09.000,2.10.2,31.0,stable-baselines,,,,,37.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000,37.0,7449.0,7449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +517,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2022-12-08 21:21:56.000000,2022-12-08 21:13:23,167.0,,430.0,92.0,78.0,55.0,137.0,3238.0,Generate embeddings from large-scale graph-structured data.,29.0,24,True,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000,3.0,341413.0,341416.0,,,,,,,,2.0,157.0,,,,,,,,,,,,,,,,,, +518,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-05-25 14:19:37.000000,2022-12-02 19:48:37,904.0,,324.0,71.0,1015.0,64.0,75.0,3123.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,27.0,24,True,2022-12-02 03:32:59.000,0.5,8.0,lit-nlp,conda-forge/lit-nlp,,,,20.0,19.0,https://pypi.org/project/lit-nlp,2022-12-02 03:31:01.152,1.0,1080.0,2900.0,https://anaconda.org/conda-forge/lit-nlp,2021-11-09 18:19:30.401,58264.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +519,keras-vis,raghakot/keras-vis,interpretability,,https://github.com/raghakot/keras-vis,https://github.com/raghakot/keras-vis,MIT,2016-11-11 23:27:34.000,2022-02-07 16:06:07.000000,2020-04-20 01:03:12,195.0,,653.0,72.0,25.0,113.0,101.0,2954.0,Neural network visualization toolkit for keras.,10.0,24,False,,,8.0,keras-vis,,,,['tensorflow'],2727.0,2727.0,https://pypi.org/project/keras-vis,,,2861.0,2861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +520,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-03-19 16:23:14.000000,2020-03-16 04:26:47,75.0,,215.0,63.0,41.0,16.0,23.0,2605.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,24,False,,,5.0,knockknock,conda-forge/knockknock,,,,628.0,628.0,https://pypi.org/project/knockknock,,,37170.0,37463.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317,12637.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +521,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2023-04-24 02:13:01.000000,2023-04-24 02:12:53,3447.0,5.0,708.0,106.0,3866.0,407.0,854.0,2569.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,24,True,2022-01-24 01:44:53.000,0.11.2,15.0,analytics-zoo,,,,['spark'],3.0,3.0,https://pypi.org/project/analytics-zoo,,,312.0,312.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +522,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2023-04-24 23:59:07.000000,2023-03-03 12:36:36,204.0,1.0,123.0,29.0,193.0,16.0,71.0,2479.0,HiPlot makes understanding high dimensional data easy.,8.0,24,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,295.0,280.0,https://pypi.org/project/hiplot,2022-10-27 17:36:01.489,15.0,34187.0,37724.0,https://anaconda.org/conda-forge/hiplot,2022-05-31 21:21:53.546,137970.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +523,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-04-18 16:13:46.000000,2023-04-18 16:13:13,929.0,21.0,148.0,18.0,62.0,74.0,158.0,2477.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,26.0,24,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,24.0,23.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,861.0,861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +524,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,,2014-06-30 02:07:45.000,2023-02-24 18:44:15.000000,2020-09-22 22:35:28,271.0,,322.0,79.0,54.0,150.0,68.0,2167.0,Multilingual text (NLP) processing toolkit.,26.0,24,False,,,,polyglot,,,,,1002.0,1002.0,https://pypi.org/project/polyglot,,,73176.0,73176.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +525,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-04-29 15:02:49.000000,2023-04-25 15:44:45,186.0,7.0,418.0,35.0,220.0,43.0,249.0,2152.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,19.0,24,True,2022-09-14 16:48:34.000,4.0,18.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],10.0,,https://pypi.org/project/pytorch-tabnet,2022-09-19 23:03:34.148,10.0,26011.0,26263.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-02-22 13:19:37.805,4295.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +526,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-03-29 19:08:14.000000,2021-01-07 09:40:40,648.0,,288.0,42.0,36.0,77.0,54.0,1956.0,A modular active learning framework for Python.,14.0,24,False,,,12.0,modAL,,,,['sklearn'],201.0,201.0,https://pypi.org/project/modAL,,,5543.0,5543.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,, +527,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-03-31 11:02:13.000000,2023-03-31 11:02:08,522.0,5.0,170.0,36.0,106.0,52.0,124.0,1870.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,23.0,24,True,2023-05-24 00:47:01.192,2023.5.24,559.0,kubric-nightly,,,,,2.0,2.0,https://pypi.org/project/kubric-nightly,2022-07-06 00:47:00.000,,14707.0,14707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +528,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-05-09 21:22:06.000000,2023-01-20 00:31:49,748.0,,239.0,26.0,691.0,52.0,138.0,1772.0,"Toolkit for creating, sharing and using natural language prompts.",60.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,41.0,40.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,3691.0,3691.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +529,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-01-29 22:06:26.764000,2023-01-29 22:01:19,871.0,,125.0,34.0,406.0,56.0,325.0,1652.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,24,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,26.0,25.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,125678.0,125678.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +530,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-01-31 19:22:32.740000,2023-01-29 22:01:19,871.0,,125.0,34.0,406.0,56.0,325.0,1652.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,24,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,26.0,25.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,125678.0,125883.0,https://anaconda.org/conda-forge/orbit-ml,2023-01-31 19:22:32.740,3286.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +531,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-05-01 14:41:50.000000,2023-05-01 14:41:42,1034.0,30.0,236.0,34.0,30.0,18.0,158.0,1494.0,A library for graph deep learning research.,44.0,24,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,510.0,510.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +532,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-05-15 09:21:44.000000,2023-05-04 14:34:56,1083.0,17.0,114.0,28.0,64.0,2.0,25.0,1391.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,24,True,2023-05-07 18:50:40.162,0.6.3,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,2022-12-25 21:42:00.510,7.0,17551.0,17551.0,,,,,,,,2.0,15.0,,,,,,,,,,,,,,,,,, +533,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-03-22 07:58:18.000000,2023-03-22 07:58:13,1287.0,3.0,93.0,31.0,79.0,22.0,17.0,1387.0,Monitor deep learning model training and hardware usage from your mobile phone.,7.0,24,True,2023-03-22 08:00:00.564,0.4.162,138.0,labml,,,,,93.0,87.0,https://pypi.org/project/labml,2022-11-23 04:35:03.026,6.0,3616.0,3616.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +534,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2023-05-19 03:31:34.653000,2023-04-14 08:52:38,1025.0,3.0,151.0,17.0,58.0,17.0,299.0,1285.0,PyTorch Extension Library of Optimized Scatter Operations.,25.0,24,True,2023-03-16 14:37:01.000,2.1.1,22.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],,,https://pypi.org/project/torch-scatter,,,45395.0,50734.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-05-19 03:31:34.653,186866.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +535,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-05-17 11:23:20.000000,2023-04-29 17:49:15,338.0,2.0,223.0,39.0,249.0,53.0,178.0,1282.0,A framework for Privacy Preserving Machine Learning.,32.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],30.0,28.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,2.0,320.0,320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +536,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-01-22 07:25:38.000000,2022-12-24 01:52:28,204.0,,293.0,48.0,42.0,82.0,111.0,1184.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,17.0,24,True,2020-09-13 21:05:45.000,0.8.4,1.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],256.0,256.0,https://pypi.org/project/keras-ocr,,,10323.0,27394.0,https://anaconda.org/anaconda/keras-ocr,2022-01-14 10:29:35.968,227.0,,,,,3.0,546067.0,,,,,,,,,,,,,,,,,, +537,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-03-15 13:59:58.000000,2023-03-15 13:59:58,4196.0,2.0,272.0,83.0,636.0,13.0,604.0,1144.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,24,True,2023-01-31 04:15:19.000,23.01,27.0,pysal,conda-forge/pysal,,,,,,https://pypi.org/project/pysal,,,15624.0,21579.0,https://anaconda.org/conda-forge/pysal,2023-01-31 17:29:52.103,488366.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +538,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223.0,74.0,415.0,75.0,147.0,1117.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,159.0,149.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,10.0,576.0,576.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +539,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2022-03-31 14:08:20.000000,2022-03-31 14:08:20,1034.0,,171.0,48.0,111.0,51.0,170.0,939.0,Python interface to GPU-powered libraries.,43.0,24,False,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,291.0,241.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,50.0,737.0,737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +540,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-05-09 23:12:52.000000,2023-03-06 07:52:05,311.0,7.0,107.0,25.0,33.0,33.0,69.0,844.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,True,2021-04-11 17:42:31.000,0.5.5,5.0,pandas-bokeh,,,,['pandas'],463.0,463.0,https://pypi.org/project/pandas-bokeh,,,22532.0,22532.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +541,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,,2016-08-17 10:58:05.000,2023-05-23 14:48:18.444000,2023-05-22 13:38:28,2068.0,10.0,187.0,41.0,551.0,58.0,407.0,843.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,24,False,2023-05-23 12:56:52.000,2.0.1,41.0,smac,conda-forge/smac,,,,,,https://pypi.org/project/smac,,,32974.0,33489.0,https://anaconda.org/conda-forge/smac,2023-05-23 14:48:18.444,13412.0,,,,,2.0,,,,,,,,,,,,,,,,,,, +542,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-05-21 13:39:47.000000,2021-03-14 16:01:01,227.0,,121.0,17.0,23.0,23.0,39.0,745.0,python partial dependence plot toolbox.,7.0,24,False,2021-03-14 16:21:17.000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,1072.0,1046.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,23894.0,24266.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465,17131.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +543,NeuPy,itdxer/neupy,ml-frameworks,,https://github.com/itdxer/neupy,https://github.com/itdxer/neupy,MIT,2015-08-24 19:45:11.000,2023-01-03 21:24:56.000000,2023-01-03 21:24:56,1146.0,,159.0,32.0,25.0,33.0,235.0,743.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,29.0,neupy,,,,,149.0,149.0,https://pypi.org/project/neupy,,,4953.0,4953.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +544,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-05-23 17:37:18.000000,2023-05-23 17:37:17,435.0,56.0,76.0,30.0,487.0,179.0,229.0,529.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",29.0,24,True,2023-04-27 14:40:58.000,23.04.00,13.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-01-02 17:36:18.094,1.0,12339.0,12339.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +545,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,,2017-09-15 13:02:42.000,2023-05-15 20:54:09.000000,2023-05-08 16:18:21,133.0,16.0,65.0,22.0,48.0,25.0,30.0,460.0,pyspark methods to enhance developer productivity.,16.0,24,False,2023-02-17 21:55:30.000,0.10.0,2.0,quinn,,,,['spark'],60.0,60.0,https://pypi.org/project/quinn,,,900740.0,900740.0,,,,,,,,3.0,6.0,,,,,,,,,,,,,,,,,, +546,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2023-05-19 13:25:04.000000,2023-05-17 01:49:07,271.0,13.0,73.0,5.0,8.0,2.0,65.0,410.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,8.0,24,True,2023-05-16 02:18:00.847,0.3.1,143.0,featurewiz,,,,,43.0,41.0,https://pypi.org/project/featurewiz,2023-01-02 17:22:46.739,2.0,8576.0,8576.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +547,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-05-24 06:45:57.000000,2023-05-19 21:00:19,918.0,48.0,143.0,25.0,775.0,58.0,363.0,405.0,MONAI Label is an intelligent open source image labeling and learning tool.,46.0,24,True,2022-12-20 05:20:49.000,0.6.0,13.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,,,797.0,3243.0,,,,,,,,3.0,53815.0,,,,,,,,,,,,,,,,,, +548,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2023-04-05 19:40:24.000000,2023-04-05 19:40:24,6447.0,3.0,132.0,36.0,349.0,45.0,113.0,338.0,Neuroimaging in Python FMRI analysis package.,66.0,24,True,2021-03-29 16:34:34.000,0.5.0,7.0,nipy,conda-forge/nipy,,,,50.0,,https://pypi.org/project/nipy,2021-03-29 16:34:34.000,50.0,1027.0,2494.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112,102741.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +549,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2023-05-23 21:48:31.000000,2023-05-23 21:48:29,498.0,6.0,50.0,41.0,240.0,16.0,59.0,282.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",36.0,24,False,2023-03-02 11:48:00.895,1.2.2,69.0,gokart,,,,,71.0,66.0,https://pypi.org/project/gokart,2022-11-01 06:28:00.638,5.0,1503.0,1503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +550,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,,2017-09-07 06:05:21.000,2023-05-24 14:49:04.000000,2023-05-24 14:40:24,4023.0,24.0,45.0,15.0,695.0,191.0,198.0,261.0,Asynchronous Distributed Hyperparameter Optimization.,31.0,24,False,2023-03-02 21:02:52.000,0.2.7,26.0,orion,,,,,89.0,89.0,https://pypi.org/project/orion,,,2475.0,2475.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +551,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2023-05-02 11:58:04.000000,2023-03-01 17:16:23,147.0,2.0,980.0,190.0,84.0,226.0,158.0,5329.0,Official Kaggle API.,37.0,23,True,,,9.0,kaggle,conda-forge/kaggle,,,,,,https://pypi.org/project/kaggle,,,164013.0,166628.0,https://anaconda.org/conda-forge/kaggle,2023-03-02 05:14:08.412,125520.0,,,,,3.0,,-6.0,,,,,,,,,,,,,,,,, +552,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2023-04-10 13:46:12.000000,2022-05-30 07:32:06,3344.0,,807.0,235.0,109.0,51.0,618.0,4771.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,67.0,23,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,26.0,,,,,,,,3.0,1485.0,,,,,,,,,,,,,,,,,, +553,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,,2021-06-09 17:57:28.000,2023-05-24 03:36:00.000000,2023-05-24 03:29:54,206.0,4.0,279.0,63.0,176.0,15.0,54.0,4736.0,"A data augmentations library for audio, image, text, and video.",29.0,23,False,2022-03-29 11:42:50.000,1.0.0,7.0,augly,,,,,63.0,63.0,https://pypi.org/project/augly,,,1894.0,1894.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +554,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2023-05-22 21:12:15.000000,2022-08-09 13:26:32,565.0,,1178.0,308.0,203.0,65.0,205.0,4400.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,23,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2100.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,142843.0,3.0,,,,,,,,,,,,,,,,,,, +555,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2023-05-08 22:33:33.000000,2022-07-29 10:37:24,205.0,,971.0,97.0,61.0,242.0,265.0,4323.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,23,True,2020-01-10 11:28:38.000,1.0.1,4.0,segmentation_models,,,,['tensorflow'],,,https://pypi.org/project/segmentation_models,,,25593.0,25593.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +556,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-02-19 16:29:00.000000,2023-02-19 16:29:00,327.0,,864.0,42.0,27.0,55.0,109.0,4078.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",17.0,23,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],124.0,116.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,8.0,2637.0,2637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +557,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-03-16 13:56:50.607000,2019-05-22 18:27:54,1118.0,,802.0,336.0,89.0,83.0,306.0,3861.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 21:36:23.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,,,https://pypi.org/project/nervananeon,,,62.0,85.0,https://anaconda.org/anaconda/neon,2023-03-16 13:56:50.607,1647.0,,,,,3.0,355.0,,,,,,,,,,,,,,,,,, +558,MatchZoo,NTMC-Community/MatchZoo,nlp,,https://github.com/NTMC-Community/MatchZoo,https://github.com/NTMC-Community/MatchZoo,Apache-2.0,2017-06-08 08:55:22.000,2021-06-03 02:58:49.000000,2021-06-02 17:38:16,1810.0,,895.0,176.0,385.0,33.0,430.0,3774.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,23,False,2019-10-09 19:24:22.000,2.2,2.0,matchzoo,,,,['tensorflow'],15.0,15.0,https://pypi.org/project/matchzoo,,,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +559,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24,440.0,,526.0,176.0,49.0,64.0,49.0,3441.0,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 20:53:28.000,0.9.0,11.0,adanet,,,,['tensorflow'],49.0,49.0,https://pypi.org/project/adanet,,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +560,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-05-24 06:47:56.000000,2023-05-24 06:44:31,1560.0,36.0,488.0,153.0,607.0,69.0,75.0,3392.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",156.0,23,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +561,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-03-25 01:23:32.000000,2023-01-15 08:49:01,2100.0,,538.0,145.0,235.0,33.0,631.0,3238.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,82.0,23,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,849.0,849.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +562,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2023-03-24 23:52:00.000000,2020-01-07 20:53:25,838.0,,402.0,130.0,136.0,52.0,128.0,2398.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,,,10.0,luminoth,,,,['tensorflow'],44.0,44.0,https://pypi.org/project/luminoth,,,1547.0,1735.0,,,,,,,,3.0,12660.0,,,,,,,,,,,,,,,,,, +563,Kashgari,BrikerMan/Kashgari,nlp,,https://github.com/BrikerMan/Kashgari,https://github.com/BrikerMan/Kashgari,Apache-2.0,2019-01-19 01:53:28.000,2021-07-09 03:57:16.000000,2021-07-09 03:57:16,955.0,,437.0,66.0,122.0,32.0,349.0,2354.0,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],63.0,61.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +564,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,603.0,90.0,29.0,23.0,51.0,2246.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,23,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,177.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,177.0,50971.0,50971.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +565,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,287.0,66.0,14.0,25.0,46.0,2090.0,Stand-alone language identification system.,9.0,23,False,,,,langid,,,,,3771.0,3771.0,https://pypi.org/project/langid,,,329871.0,329871.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +566,SRU,asappresearch/sru,pytorch-utils,,https://github.com/asappresearch/sru,https://github.com/asappresearch/sru,MIT,2017-08-28 20:37:41.000,2022-01-04 21:17:53.000000,2021-05-19 15:52:48,400.0,,304.0,68.0,78.0,59.0,68.0,2084.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:12:33.000,2.6.0,30.0,sru,,,,['pytorch'],19.0,19.0,https://pypi.org/project/sru,,,4332.0,4332.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +567,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2023-03-23 00:23:04.000000,2023-02-18 15:22:01,1930.0,,298.0,39.0,78.0,31.0,121.0,2083.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,26.0,23,True,2022-09-04 16:37:07.000,0.54.0,42.0,torch-geometric-temporal,,,,['pytorch'],,,https://pypi.org/project/torch-geometric-temporal,,,2316.0,2316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +568,FinTA,peerchemist/finta,financial-data,,https://github.com/peerchemist/finta,https://github.com/peerchemist/finta,LGPL-3.0,2016-09-01 21:02:46.000,2022-07-24 08:40:51.000000,2022-07-24 08:40:51,394.0,,620.0,82.0,48.0,24.0,64.0,1901.0,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,18.0,finta,,,,,354.0,354.0,https://pypi.org/project/finta,,,7717.0,7717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +569,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2022-12-24 01:08:10.000000,2021-09-20 16:03:46,382.0,,229.0,42.0,32.0,48.0,89.0,1802.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],130.0,130.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,6523.0,6523.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,, +570,Multicore-TSNE,DmitryUlyanov/Multicore-TSNE,data-viz,,https://github.com/DmitryUlyanov/Multicore-TSNE,https://github.com/DmitryUlyanov/Multicore-TSNE,BSD-3-Clause,2016-10-19 05:46:52.000,2023-05-21 11:55:56.000000,2023-05-17 15:43:54,115.0,1.0,200.0,44.0,36.0,38.0,21.0,1783.0,Parallel t-SNE implementation with Python and Torch wrappers.,16.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],398.0,375.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,23.0,5373.0,5829.0,https://anaconda.org/conda-forge/multicore-tsne,2021-11-09 17:22:51.512,24638.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +571,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2022-09-18 16:01:21.000000,2022-09-18 16:01:20,637.0,,263.0,28.0,182.0,9.0,389.0,1590.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,23,True,2022-05-28 10:07:13.000,1.3,15.0,talos,,,,['tensorflow'],163.0,163.0,https://pypi.org/project/talos,,,638.0,638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +572,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2022-10-15 11:44:16.000000,2020-07-17 20:19:46,350.0,,111.0,37.0,10.0,32.0,51.0,1578.0,"A fast, efficient universal vector embedding utility package.",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,308.0,295.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,13.0,3817.0,3817.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +573,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-05-08 19:21:37.000000,2023-03-23 14:35:34,422.0,3.0,275.0,75.0,728.0,13.0,64.0,1552.0,An end-to-end PyTorch framework for image and video classification.,77.0,23,True,2023-03-21 05:24:19.000,0.7.0,7.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],,,https://pypi.org/project/classy_vision,,,2081.0,2512.0,https://anaconda.org/conda-forge/classy_vision,2022-03-22 13:12:30.498,17269.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +574,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2022-10-17 19:34:58.000000,2022-10-17 19:34:56,1930.0,,283.0,47.0,799.0,67.0,485.0,1518.0,jiant is an nlp toolkit.,60.0,23,True,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,3.0,3.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,331.0,331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +575,NiftyNet,NifTK/NiftyNet,medical-data,,https://github.com/NifTK/NiftyNet,https://github.com/NifTK/NiftyNet,Apache-2.0,2017-08-30 07:55:43.000,2020-04-21 19:54:52.000000,2020-04-21 19:54:51,3284.0,,397.0,91.0,165.0,100.0,224.0,1330.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,59.0,23,False,2019-10-09 19:33:30.000,0.6.0,8.0,niftynet,,,,['tensorflow'],42.0,42.0,https://pypi.org/project/niftynet,,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +576,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,142.0,29.0,63.0,6.0,70.0,1243.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,23,False,,,,livelossplot,,,,['jupyter'],1050.0,1050.0,https://pypi.org/project/livelossplot,,,13995.0,13995.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +577,sklearn-porter,nok/sklearn-porter,model-serialisation,,https://github.com/nok/sklearn-porter,https://github.com/nok/sklearn-porter,BSD-3-Clause,2016-06-22 22:21:34.000,2022-07-25 15:59:11.000000,2022-05-22 23:59:48,1219.0,,160.0,32.0,22.0,42.0,34.0,1228.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,True,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],52.0,51.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,530.0,530.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +578,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2023-05-09 00:52:44.000000,2023-05-09 00:52:44,72.0,3.0,215.0,66.0,29.0,31.0,12.0,1097.0,Anomaly Detection and Correlation library.,9.0,23,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,90.0,75.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,11569.0,11569.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +579,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,,2015-09-08 08:19:06.000,2022-11-06 01:01:06.000000,2022-01-06 15:08:19,1746.0,,169.0,43.0,253.0,44.0,211.0,1084.0,Python audio and music signal processing library.,20.0,23,False,2018-11-14 14:57:41.000,0.16.1,10.0,madmom,,,,,347.0,347.0,https://pypi.org/project/madmom,,,3544.0,3544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +580,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-02-16 09:44:09.143000,2022-10-19 11:01:06,75.0,,226.0,19.0,16.0,2.0,84.0,1071.0,Implementation of the node2vec algorithm.,11.0,23,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,427.0,409.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,18.0,79611.0,80030.0,https://anaconda.org/conda-forge/node2vec,2023-02-16 09:44:09.143,25178.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +581,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2022-07-28 04:39:33.000000,2019-08-16 09:00:15,140.0,,101.0,12.0,18.0,13.0,15.0,968.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 08:58:49.000,1.4.0,8.0,gputil,,,,,3475.0,3475.0,https://pypi.org/project/gputil,,,923820.0,923820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +582,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2023-05-24 22:53:00.000000,2023-05-24 22:52:20,1348.0,373.0,64.0,18.0,435.0,50.0,67.0,890.0,"MetricFlow allows you to define, build, and maintain metrics in code.",36.0,23,False,2023-01-26 23:10:31.000,0.140.0,30.0,metricflow,,,,,5.0,4.0,https://pypi.org/project/metricflow,2023-01-26 23:10:02.685,1.0,3083.0,3083.0,,,,,,,,3.0,,,,,,,,,,,,dbt-labs/metricflow,,,,,,, +583,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2023-05-11 19:14:01.000000,2023-03-29 07:39:45,85.0,3.0,72.0,26.0,53.0,36.0,25.0,882.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,476.0,453.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,28975.0,30500.0,https://anaconda.org/conda-forge/youtokentome,2022-10-30 19:53:58.371,30518.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +584,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-05-15 11:15:26.000000,2020-02-25 14:31:53,879.0,,99.0,30.0,59.0,14.0,74.0,783.0,ML-Ensemble high performance ensemble learning.,7.0,23,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,295.0,291.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,3250.0,3250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +585,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2022-04-15 13:31:22.000000,2019-07-22 06:22:45,1380.0,,147.0,25.0,154.0,73.0,137.0,755.0,Google maps for Jupyter notebooks.,16.0,23,False,2019-07-21 08:49:48.715,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],49.0,3.0,https://pypi.org/project/gmaps,2019-07-21 08:49:39.000,44.0,8795.0,14268.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940,299757.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,2.0,1310.0,,,,,,,,,,, +586,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-03-21 20:04:18.000000,2023-03-02 14:58:53,291.0,9.0,117.0,20.0,70.0,19.0,47.0,657.0,An intuitive library to extract features from time series.,17.0,23,True,2023-03-02 15:05:51.000,0.1.5,9.0,tsfel,,,,,85.0,85.0,https://pypi.org/project/tsfel,2021-02-14 17:40:32.000,,9172.0,9172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +587,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-05-01 16:00:34.590000,2023-04-28 11:43:32,589.0,3.0,116.0,15.0,47.0,25.0,106.0,646.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,29.0,23,True,2023-03-16 18:06:01.469,1.6.1,41.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],36.0,,https://pypi.org/project/torch-cluster,2022-03-11 14:21:26.000,36.0,12828.0,14647.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-05-01 16:00:34.590,65519.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +588,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2022-12-31 20:29:03.000000,2022-12-31 20:29:03,396.0,,144.0,17.0,72.0,39.0,105.0,637.0,Ternary plotting library for python with matplotlib.,27.0,23,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,162.0,137.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,25.0,64242.0,65117.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625,74459.0,,,,,3.0,20.0,,,,,,,,,,,,,,,,,, +589,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138.0,119.0,91.0,42.0,67.0,634.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],176.0,161.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000,15.0,11542.0,11542.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +590,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2023-05-15 10:07:07.000000,2023-05-15 10:07:07,222.0,2.0,83.0,13.0,32.0,27.0,23.0,627.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,9.0,23,True,2022-12-19 17:52:51.000,0.5.1,12.0,detoxify,,,,,308.0,308.0,https://pypi.org/project/detoxify,,,10739.0,18147.0,,,,,,,,3.0,222241.0,,,,,,,,,,,,,,,,,, +591,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2022-07-22 20:34:33.000000,2021-02-11 16:40:18,279.0,,66.0,11.0,47.0,17.0,52.0,619.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,713.0,713.0,https://pypi.org/project/pysbd,,,93368.0,93566.0,https://anaconda.org/conda-forge/pysbd,2021-10-11 20:47:46.408,3777.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +592,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-05-25 13:14:06.000000,2023-05-24 11:11:59,788.0,22.0,73.0,11.0,624.0,91.0,364.0,528.0,Automated modeling and machine learning framework FEDOT.,27.0,23,True,2023-02-23 08:43:10.000,0.7.0,17.0,fedot,,,,,32.0,31.0,https://pypi.org/project/fedot,2022-12-12 17:17:01.066,1.0,669.0,669.0,,,,,,,,3.0,,,,,,,,,,,,aimclub/FEDOT,,,,,,, +593,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2023-05-11 09:34:44.000000,2023-05-11 09:34:15,458.0,2.0,47.0,8.0,49.0,138.0,216.0,515.0,python binding for libvips using cffi.,15.0,23,True,2022-06-12 09:54:07.000,2.2.1,24.0,pyvips,conda-forge/pyvips,,,,568.0,522.0,https://pypi.org/project/pyvips,2022-06-12 09:54:07.000,46.0,28137.0,29394.0,https://anaconda.org/conda-forge/pyvips,2022-10-29 23:53:42.904,56609.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +594,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2022-02-11 17:17:32.393000,2022-02-11 07:59:35,77.0,,72.0,8.0,17.0,11.0,12.0,479.0,Find pyspark to make it importable.,15.0,23,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],3620.0,3468.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,152.0,1922875.0,1932739.0,https://anaconda.org/conda-forge/findspark,2022-02-11 17:17:32.393,818775.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +595,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-05-22 13:49:20.000000,2023-05-22 13:49:20,264.0,10.0,99.0,19.0,55.0,26.0,20.0,442.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,6.0,23,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,55.0,47.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000,8.0,11179.0,11179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +596,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-05-23 13:36:11.000000,2023-05-23 13:35:15,2229.0,27.0,39.0,11.0,10.0,12.0,49.0,440.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,23,True,2023-05-23 13:39:00.358,4.4.3,73.0,hyperactive,,,,,24.0,19.0,https://pypi.org/project/hyperactive,2023-01-04 12:37:10.736,5.0,1313.0,1315.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,, +597,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-05-21 22:48:24.000000,2023-05-21 22:12:32,319.0,13.0,89.0,25.0,6.0,3.0,24.0,437.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,23,True,2023-05-21 22:50:00.406,0.1.716,142.0,autoviml,,,,,24.0,22.0,https://pypi.org/project/autoviml,2022-06-01 23:08:15.000,2.0,1991.0,1991.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +598,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-05-11 20:39:20.000000,2023-03-04 05:19:44,2327.0,2.0,606.0,146.0,1361.0,118.0,985.0,7932.0,Production infrastructure for machine learning at scale.,24.0,22,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,995.0,995.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +599,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-01-09 00:12:07.000000,2021-02-12 10:36:31,2184.0,,1038.0,173.0,212.0,12.0,533.0,7417.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,22,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,,,,,,,189.0,,,,,,,,3.0,5319.0,,,,,,,,,,,,,,,,,, +600,EfficientNet-PyTorch,lukemelas/EfficientNet-PyTorch,pytorch-utils,,https://github.com/lukemelas/EfficientNet-PyTorch,https://github.com/lukemelas/EfficientNet-PyTorch,Apache-2.0,2019-05-30 05:24:11.000,2022-04-08 12:30:25.000000,2021-04-15 15:16:36,162.0,,1460.0,132.0,51.0,148.0,141.0,7409.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,22,False,2020-03-01 03:29:43.000,1.0,1.0,efficientnet-pytorch,,,,['pytorch'],,,https://pypi.org/project/efficientnet-pytorch,,,121495.0,200047.0,,,,,,,,3.0,2985002.0,-5.0,,,,,,,,,,,,,,,,, +601,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824.0,172.0,1588.0,145.0,74.0,6361.0,A natural language modeling framework based on PyTorch.,234.0,22,True,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],1.0,,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,85.0,91.0,,,,,,,,3.0,326.0,,,,,,,,,,,,,,,,,, +602,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,727.0,139.0,43.0,130.0,98.0,4897.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,22,False,2020-02-03 01:07:00.000,2.0.0,12.0,textgenrnn,,,,['tensorflow'],1078.0,1078.0,https://pypi.org/project/textgenrnn,,,873.0,886.0,,,,,,,,3.0,845.0,,,,,,,,,,,,,,,,,, +603,deep-daze,lucidrains/deep-daze,image,,https://github.com/lucidrains/deep-daze,https://github.com/lucidrains/deep-daze,MIT,2021-01-17 06:00:50.000,2022-03-13 19:09:50.000000,2022-03-13 19:08:59,231.0,,324.0,77.0,37.0,95.0,73.0,4389.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,207.0,207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +604,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150.0,,678.0,103.0,32.0,96.0,111.0,4185.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,22,False,2020-01-08 15:35:45.000,2.2.0,1.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],112.0,112.0,https://pypi.org/project/ISR,,,6833.0,6837.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,226.0,3.0,,,,,,,,,,,,,,,,,,, +605,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2023-05-14 23:48:26.000000,2023-01-15 11:37:16,279.0,,723.0,97.0,81.0,94.0,335.0,3668.0,Backtest trading strategies in Python.,19.0,22,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,2.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,2.0,11361.0,11361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +606,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,377.0,210.0,9.0,6.0,16.0,3144.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],122.0,119.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,1999.0,1999.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +607,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2023-04-26 19:35:05.000000,2023-04-26 19:32:49,683.0,3.0,482.0,217.0,16.0,24.0,4.0,3109.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,22,True,2023-04-26 19:36:36.846,0.11.12,13.0,finmarketpy,,,,,8.0,8.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000,,272.0,272.0,,,,,,,,3.0,44.0,,,,,,,,,,,,,,,,,, +608,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-05-03 15:42:12.000000,2023-05-03 15:37:41,401.0,2.0,314.0,52.0,412.0,79.0,105.0,3036.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",35.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],19.0,18.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,427.0,427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +609,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-02-11 20:02:33.000000,2022-03-16 17:52:29,715.0,,208.0,52.0,31.0,61.0,119.0,2933.0,A GUI for Pandas DataFrames.,13.0,22,False,,,2.0,pandasgui,conda-forge/pandasgui,,,['pandas'],250.0,250.0,https://pypi.org/project/pandasgui,,,4627.0,5273.0,https://anaconda.org/conda-forge/pandasgui,2021-02-13 06:39:51.463,18099.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +610,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-05-13 07:22:14.000000,2023-04-02 02:43:29,2583.0,16.0,973.0,131.0,964.0,49.0,67.0,2835.0,a distributed deep learning platform.,81.0,22,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,2.0,2.0,,,,,36.0,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397,626.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,2799.0,3.0,,,,,,,,,,,,,,,,,,, +611,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2022-10-28 22:04:55.000000,2022-10-28 22:04:55,271.0,,230.0,43.0,108.0,81.0,64.0,2744.0,"Text preprocessing, representation and visualization from zero to hero.",20.0,22,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,15577.0,15579.0,,,,,,,,3.0,108.0,,,,,,,,,,,,,,,,,, +612,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-05-14 14:45:06.000000,2022-06-08 12:10:12,103.0,,240.0,47.0,15.0,42.0,72.0,2398.0,"Visualize and compare datasets, target values and associations, with one line of code.",6.0,22,True,2022-06-14 21:52:54.000,2.1.4,10.0,sweetviz,conda-forge/sweetviz,,,,,,https://pypi.org/project/sweetviz,,,67986.0,68780.0,https://anaconda.org/conda-forge/sweetviz,2022-06-15 10:27:12.398,21448.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +613,Texar,asyml/texar,nlp,,https://github.com/asyml/texar,https://github.com/asyml/texar,Apache-2.0,2017-07-22 19:02:05.000,2021-08-26 09:49:50.000000,2020-07-29 00:38:30,1719.0,,372.0,79.0,144.0,32.0,126.0,2361.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 03:54:40.000,0.2.4,6.0,texar,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/texar,,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +614,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2022-07-12 01:15:33.000000,2022-07-12 01:13:05,104.0,,231.0,60.0,105.0,23.0,56.0,2053.0,"Codebase for Image Classification Research, written in PyTorch.",17.0,22,True,2021-05-21 00:29:47.000,0.2,2.0,pycls,,,,['pytorch'],13.0,13.0,https://pypi.org/project/pycls,,,128536.0,128536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +615,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2023-05-24 19:00:04.000000,2023-04-04 17:47:45,23.0,1.0,94.0,37.0,25.0,15.0,73.0,1702.0,"A flexible, intuitive and fast forecasting library.",8.0,22,True,2023-04-04 19:48:44.000,0.5.0,9.0,greykite,,,,,19.0,19.0,https://pypi.org/project/greykite,2022-07-15 21:40:53.479,,11050.0,11050.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,, +616,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2023-04-08 10:04:48.000000,2020-04-24 06:58:09,58.0,,246.0,44.0,13.0,53.0,35.0,1699.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,1.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",191.0,191.0,https://pypi.org/project/hiddenlayer,,,2604.0,2604.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +617,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-02-15 23:42:03.000000,2022-08-31 09:45:24,594.0,,229.0,55.0,443.0,1.0,401.0,1666.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,22,True,2021-06-10 09:45:12.000,0.8.0,22.0,farm,conda-forge/farm,,,['pytorch'],,,https://pypi.org/project/farm,,,3979.0,4080.0,https://anaconda.org/conda-forge/farm,2021-06-14 12:34:06.874,2527.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +618,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2022-10-31 03:14:01.876000,2022-01-30 01:22:30,743.0,,209.0,39.0,110.0,54.0,42.0,1655.0,"Large-scale linear classification, regression and ranking in Python.",17.0,22,False,2022-01-30 01:10:13.000,0.6.2.post0,12.0,sklearn-contrib-lightning,conda-forge/sklearn-contrib-lightning,,,['sklearn'],133.0,126.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,7.0,1614.0,3988.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2022-10-31 03:14:01.876,193526.0,,,,,3.0,327.0,,,,,,,,,,,,,,,,,, +619,auto_ml,ClimbsRocks/auto_ml,hyperopt,,https://github.com/ClimbsRocks/auto_ml,https://github.com/ClimbsRocks/auto_ml,MIT,2016-08-07 21:35:08.000,2021-02-10 07:52:35.000000,2018-03-25 19:46:25,1149.0,,311.0,98.0,45.0,187.0,216.0,1611.0,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,7.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,7.0,488.0,488.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,, +620,graph4nlp,graph4ai/graph4nlp,graph,,https://github.com/graph4ai/graph4nlp,https://github.com/graph4ai/graph4nlp,Apache-2.0,2020-07-16 03:28:48.000,2023-02-11 12:08:00.000000,2022-11-13 04:54:45,1941.0,,194.0,30.0,423.0,11.0,162.0,1576.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,28.0,22,True,2022-01-20 18:07:32.000,0.5.5,12.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,170.0,170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +621,EfficientNets,rwightman/gen-efficientnet-pytorch,pytorch-utils,,https://github.com/rwightman/gen-efficientnet-pytorch,https://github.com/rwightman/gen-efficientnet-pytorch,Apache-2.0,2019-05-11 19:35:56.000,2022-07-01 09:55:35.000000,2021-07-08 19:03:55,108.0,,203.0,46.0,12.0,4.0,51.0,1535.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,22,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],177.0,175.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,5997.0,5997.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +622,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-03-25 00:12:22.000000,2020-08-25 09:26:27,1121.0,,270.0,67.0,50.0,23.0,74.0,1422.0,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,32.0,32.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,424.0,424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +623,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2022-05-29 19:09:18.000000,2022-05-29 19:09:18,309.0,,182.0,27.0,56.0,19.0,35.0,1174.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],118.0,113.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,518.0,518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +624,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-03-03 07:51:00.411000,2023-03-02 23:03:48,828.0,2.0,329.0,54.0,784.0,2.0,295.0,1172.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,59.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,2.0,932.0,932.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,, +625,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2022-11-03 10:24:40.000000,2022-11-03 10:24:40,401.0,,185.0,34.0,70.0,3.0,86.0,1020.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,22,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],187.0,178.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,7543.0,7543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +626,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2022-07-04 00:10:02.000000,2022-07-04 00:10:02,195.0,,144.0,23.0,45.0,14.0,82.0,884.0,kapre: Keras Audio Preprocessors.,13.0,22,True,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2260.0,2246.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,14.0,1865.0,1865.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,, +627,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2023-04-10 20:07:44.000000,2022-05-13 18:48:12,83.0,,181.0,25.0,58.0,7.0,27.0,880.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,22,True,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,,['tensorflow'],63.0,58.0,https://pypi.org/project/saliency,2022-06-14 18:11:08.000,5.0,4324.0,4324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +628,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-03-28 16:16:19.000000,2023-03-28 16:16:19,301.0,19.0,81.0,18.0,70.0,17.0,42.0,840.0,Audio processing by using pytorch 1D convolution network.,14.0,22,True,2020-11-08 10:18:26.000,0.2.0,2.0,nnAudio,,,,,102.0,102.0,https://pypi.org/project/nnAudio,,,4014.0,4014.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +629,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2023-05-22 06:22:58.000000,2023-05-22 06:22:57,720.0,7.0,137.0,14.0,93.0,23.0,212.0,826.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,41.0,22,True,2023-03-22 13:48:45.000,0.6.17,27.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],,,https://pypi.org/project/torch-sparse,,,28367.0,34077.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-05-19 21:56:22.940,199862.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +630,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-01-17 06:54:34.000000,2022-12-07 13:45:45,1234.0,,135.0,25.0,593.0,62.0,510.0,821.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,True,2022-02-10 15:53:08.000,0.12.0,41.0,icevision,,,,,,,https://pypi.org/project/icevision,,,9459.0,9459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +631,What-If Tool,PAIR-code/what-if-tool,interpretability,,https://github.com/PAIR-code/what-if-tool,https://github.com/PAIR-code/what-if-tool,Apache-2.0,2018-09-07 20:26:10.000,2023-04-27 23:44:03.000000,2023-04-27 23:44:02,329.0,1.0,151.0,29.0,104.0,80.0,56.0,805.0,Source code/webpage/demos for the What-If Tool.,20.0,22,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,5.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,4.0,8925.0,62965.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2022-01-06 08:51:02.032,1843210.0,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,1.0,1377.0,,,,,,,,,,, +632,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2023-04-17 19:12:50.000000,2023-04-17 19:11:56,268.0,4.0,234.0,44.0,18.0,6.0,91.0,748.0,Data compression in TensorFlow.,21.0,22,True,2023-03-23 21:44:50.000,2.12.0,20.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2022-11-23 01:59:02.058,2.0,5132.0,5132.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +633,Test Tube,williamFalcon/test-tube,hyperopt,,https://github.com/williamFalcon/test-tube,https://github.com/williamFalcon/test-tube,MIT,2017-09-06 02:14:57.000,2022-07-22 06:10:37.000000,2020-03-17 22:44:47,642.0,,72.0,24.0,37.0,25.0,21.0,735.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,23.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,23.0,77360.0,77360.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,, +634,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-05-24 17:34:54.000000,2023-04-17 02:56:14,312.0,34.0,107.0,17.0,71.0,20.0,31.0,609.0,Working with molecular structures in pandas DataFrames.,10.0,22,True,2022-05-13 14:32:21.000,0.4.1,18.0,biopandas,conda-forge/biopandas,,,['pandas'],189.0,171.0,https://pypi.org/project/biopandas,2022-05-13 14:32:21.000,18.0,5687.0,7478.0,https://anaconda.org/conda-forge/biopandas,2023-03-11 18:43:01.501,137959.0,,,,,3.0,,,,,,,,,,,,BioPandas/biopandas,,,,,,, +635,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2023-05-01 22:43:43.000000,2022-08-16 17:43:49,1877.0,,57.0,18.0,216.0,49.0,280.0,567.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,22,True,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,47.0,46.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,446.0,446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +636,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02,249.0,,127.0,23.0,18.0,8.0,29.0,548.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,5.0,rfpimp,,,,['sklearn'],124.0,124.0,https://pypi.org/project/rfpimp,,,33684.0,33684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +637,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,,86.0,26.0,31.0,28.0,6.0,535.0,machine learning with logical rules in Python.,19.0,22,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],253.0,246.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,7.0,61858.0,61858.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +638,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2023-01-31 22:20:04.000000,2022-11-17 11:12:46,327.0,,127.0,18.0,32.0,12.0,70.0,478.0,Medical image processing in Python.,16.0,22,False,2019-02-14 17:09:49.000,0.4.0,5.0,MedPy,conda-forge/medpy,,,,1194.0,1194.0,https://pypi.org/project/MedPy,,,16436.0,17108.0,https://anaconda.org/conda-forge/medpy,2022-10-31 22:33:53.320,15473.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +639,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-05-08 01:10:39.000000,2023-05-08 01:10:39,371.0,9.0,97.0,29.0,19.0,40.0,8.0,444.0,A python library for Bayesian time series modeling.,6.0,22,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,31.0,29.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,83285.0,83285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +640,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2023-05-23 05:25:35.000000,2023-05-23 05:16:21,4654.0,340.0,37.0,12.0,1.0,2.0,80.0,394.0,Deep Learning PyTorch.,1.0,22,True,2023-05-22 14:48:00.553,0.4.5,99.0,carefree-learn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/carefree-learn,2022-06-20 12:19:50.000,,945.0,945.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,, +641,model-card-toolkit,tensorflow/model-card-toolkit,interpretability,,https://github.com/tensorflow/model-card-toolkit,https://github.com/tensorflow/model-card-toolkit,Apache-2.0,2020-07-24 16:48:58.000,2023-05-22 20:32:35.000000,2023-05-21 22:37:54,265.0,12.0,80.0,20.0,239.0,10.0,17.0,373.0,A toolkit that streamlines and automates the generation of model cards.,21.0,22,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,20.0,19.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1133.0,1133.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,, +642,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,LGPL-3.0,2021-03-18 15:04:58.000,2023-05-23 13:10:43.000000,2023-05-23 13:10:43,1458.0,122.0,53.0,6.0,167.0,35.0,64.0,363.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,18.0,22,False,2023-05-09 20:57:01.618,0.4.0,18.0,quantus,,,,,11.0,10.0,https://pypi.org/project/quantus,2023-01-25 17:08:07.031,1.0,646.0,651.0,,,,,,,,3.0,87.0,,,,,,,,,,,,,,,,,, +643,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2023-05-25 07:39:15.000000,2023-05-25 07:29:51,5391.0,40.0,80.0,11.0,692.0,47.0,392.0,359.0,Lightwood is Legos for Machine Learning.,38.0,22,False,2023-03-16 19:38:21.000,23.2.1.1,195.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,2023-01-17 16:58:00.484,2.0,10587.0,10587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +644,TimeSide,Parisson/TimeSide,audio,,https://github.com/Ircam-WAM/TimeSide,https://github.com/Ircam-WAM/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-05-16 18:33:02.000000,2023-02-01 10:38:52,3728.0,,60.0,25.0,110.0,32.0,183.0,351.0,scalable audio processing framework and server written in Python.,22.0,22,False,2023-01-03 17:34:09.000,1.1.3,27.0,TimeSide,,,,,30.0,16.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,14.0,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,Ircam-WAM/TimeSide,,,,,,, +645,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-05-17 19:20:49.000000,2023-05-11 09:21:00,356.0,20.0,29.0,17.0,5.0,15.0,20.0,293.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,24.0,22,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],49.0,47.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,2.0,3122.0,3122.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +646,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-04-08 11:40:08.000000,2023-04-08 11:40:08,508.0,20.0,36.0,5.0,11.0,5.0,44.0,287.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,12.0,22,False,2022-05-07 07:58:05.000,0.7.0,22.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],25.0,,https://pypi.org/project/scikit-posthocs,2022-05-07 07:58:05.000,25.0,34147.0,50101.0,https://anaconda.org/conda-forge/scikit-posthocs,2022-05-08 18:15:36.676,494599.0,,,,,3.0,29.0,,,,,,,,,,,,,,,,,, +647,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2022-12-12 15:14:00.508000,2022-12-12 14:53:36,244.0,,23.0,7.0,4.0,19.0,53.0,237.0,Multiple Imputation with LightGBM in Python.,6.0,22,False,2022-12-12 15:14:00.508,5.6.3,44.0,miceforest,conda-forge/miceforest,,,,68.0,66.0,https://pypi.org/project/miceforest,2022-12-12 15:14:00.508,2.0,29568.0,29970.0,https://anaconda.org/conda-forge/miceforest,2022-08-13 22:30:51.710,8846.0,,,,,1.0,,,,,,,,,,,,,,,,,,, +648,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-05-24 00:42:04.000000,2023-05-24 00:40:45,2452.0,5.0,56.0,9.0,224.0,28.0,72.0,235.0,Python recommendation toolkit.,13.0,22,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,88.0,84.0,https://pypi.org/project/lenskit,2022-08-16 20:29:07.512,4.0,1325.0,1971.0,https://anaconda.org/conda-forge/lenskit,2022-08-17 15:08:24.355,19381.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +649,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26.0,6.0,18.0,3.0,9.0,149.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,7.0,stop-words,,,,,1871.0,1871.0,https://pypi.org/project/stop-words,,,88262.0,88262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +650,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2022-07-02 09:54:39.000000,2020-06-03 05:58:03,146.0,,1379.0,264.0,66.0,115.0,131.0,6059.0,Audio fingerprinting and recognition in Python.,23.0,21,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,3.0,,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +651,graph-nets,deepmind/graph_nets,graph,,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779.0,221.0,25.0,6.0,122.0,5253.0,Build Graph Nets in Tensorflow.,11.0,21,True,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],8.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,8.0,2488.0,2488.0,,,,,,,,3.0,,3.0,,,,,,,,,,,,,,,,, +652,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2023-05-22 23:25:25.000000,2023-03-20 13:46:40,953.0,8.0,494.0,168.0,44.0,23.0,28.0,3891.0,High-performance TensorFlow library for quantitative finance.,45.0,21,True,,,4.0,tf-quant-finance,,,,['tensorflow'],,,https://pypi.org/project/tf-quant-finance,,,1024.0,1024.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +653,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,168.0,120.0,22.0,112.0,2904.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,True,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,208.0,208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +654,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-05-23 02:21:18.000000,2021-05-06 12:10:38,127.0,,141.0,50.0,38.0,,30.0,2846.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,21,False,2021-05-01 13:59:02.000,0.0.11,2.0,opyrator,conda-forge/opyrator,,,,46.0,46.0,https://pypi.org/project/opyrator,,,88.0,155.0,https://anaconda.org/conda-forge/opyrator,2022-01-08 18:03:03.967,1078.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +655,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-03-20 10:13:27.000000,2022-07-20 20:54:36,1904.0,,318.0,102.0,999.0,84.0,260.0,2790.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,21,True,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +656,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2022-12-22 08:43:18.000000,2020-04-02 01:05:35,46.0,,811.0,87.0,28.0,37.0,80.0,2557.0,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,72.0,65.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,2641.0,2641.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +657,pdftabextract,WZBSocialScienceCenter/pdftabextract,ocr,,https://github.com/WZBSocialScienceCenter/pdftabextract,https://github.com/WZBSocialScienceCenter/pdftabextract,Apache-2.0,2016-07-08 11:44:46.000,2022-06-24 09:51:22.000000,2022-06-24 09:51:22,171.0,,353.0,86.0,4.0,3.0,18.0,2060.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,True,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,43.0,42.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,1.0,234.0,234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +658,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2022-09-16 23:58:37.000000,2021-09-30 21:51:09,8208.0,,170.0,55.0,895.0,129.0,586.0,1827.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",49.0,21,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,21.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621,963.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +659,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2023-03-31 21:30:31.000000,2023-03-31 21:30:30,328.0,2.0,330.0,42.0,66.0,153.0,95.0,1793.0,Super easy library for BERT based NLP models.,36.0,21,True,2020-07-09 12:05:40.000,1.8.0,5.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,,,2041.0,2041.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +660,Antialiased CNNs,adobe/antialiased-cnns,pytorch-utils,,https://github.com/adobe/antialiased-cnns,https://github.com/adobe/antialiased-cnns,CC BY-NC-SA 4.0,2019-05-14 20:51:25.000,2023-04-10 08:32:30.000000,2021-09-29 18:48:52,239.0,,202.0,39.0,6.0,13.0,33.0,1611.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,21,False,2020-10-23 22:45:52.000,0.3,4.0,antialiased-cnns,,,,['pytorch'],40.0,40.0,https://pypi.org/project/antialiased-cnns,,,3876.0,3876.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +661,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2023-05-13 02:26:19.000000,2022-09-27 19:41:48,274.0,,129.0,103.0,149.0,16.0,19.0,1550.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,True,2020-05-05 20:16:54.000,0.8.3,1.0,lore,,,,,20.0,20.0,https://pypi.org/project/lore,,,1142.0,1142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +662,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-05-12 11:55:49.000000,2020-12-17 06:57:15,932.0,,296.0,67.0,199.0,1.0,74.0,1548.0,DELTA is a deep learning based natural language and speech processing platform.,41.0,21,False,2020-07-16 09:31:45.000,0.3.3,4.0,delta-nlp,,zh794390558/delta,,['tensorflow'],,,https://pypi.org/project/delta-nlp,,,8.0,281.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13110.0,3.0,,,,,,,,,,,,,,,,,,, +663,Higher,facebookresearch/higher,pytorch-utils,,https://github.com/facebookresearch/higher,https://github.com/facebookresearch/higher,Apache-2.0,2019-09-06 18:58:36.000,2022-03-25 15:56:51.000000,2021-10-26 07:08:33,31.0,,114.0,29.0,31.0,58.0,50.0,1524.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,21,False,,,,higher,,,,['pytorch'],268.0,268.0,https://pypi.org/project/higher,,,28159.0,28159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +664,anaGo,Hironsan/anago,nlp,,https://github.com/Hironsan/anago,https://github.com/Hironsan/anago,MIT,2017-06-26 21:28:36.000,2022-12-07 23:44:31.000000,2021-04-01 12:34:50,298.0,,359.0,64.0,47.0,37.0,72.0,1472.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-06-03 13:51:56.000,1.0.0,5.0,anago,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/anago,,,316.0,316.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +665,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2023-05-22 21:34:54.000000,2020-02-04 21:10:25,334.0,,223.0,65.0,48.0,36.0,90.0,1233.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,,,,tensorrec,,,,['tensorflow'],29.0,29.0,https://pypi.org/project/tensorrec,,,1238.0,1238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +666,jraph,deepmind/jraph,graph,,https://github.com/deepmind/jraph,https://github.com/deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-04-22 07:16:21.000000,2022-08-31 13:13:15,103.0,,73.0,39.0,14.0,9.0,26.0,1158.0,A Graph Neural Network Library in Jax.,17.0,21,True,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],88.0,82.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,6.0,4783.0,4908.0,https://anaconda.org/conda-forge/jraph,2023-03-31 14:57:46.777,2384.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +667,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-05-02 16:00:14.000000,2022-12-03 17:48:51,1188.0,,79.0,28.0,132.0,65.0,126.0,1149.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",21.0,21,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,7.0,7.0,https://pypi.org/project/kp,,,123.0,133.0,,,,,,,,3.0,336.0,,,,,,,,,,,,,,,,,, +668,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-05-15 18:36:45.000000,2023-05-15 18:36:45,642.0,43.0,158.0,18.0,218.0,53.0,89.0,1089.0,Generate Diverse Counterfactual Explanations for any machine learning model.,16.0,21,True,2022-10-19 11:30:46.000,0.9,10.0,dice-ml,,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/dice-ml,,,28484.0,28484.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +669,Skater,oracle/Skater,interpretability,,https://github.com/oracle/skater,https://github.com/oracle/skater,UPL-1.0,2017-01-26 05:45:42.000,2023-03-21 12:52:00.000000,2023-03-21 12:52:00,1113.0,7.0,175.0,56.0,151.0,67.0,97.0,1067.0,Python Library for Model Interpretation/Explanations.,37.0,21,False,2018-09-21 06:46:11.000,1.1.2,15.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,,,2426.0,3253.0,https://anaconda.org/conda-forge/skater,2021-11-15 19:51:51.883,58776.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +670,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208.0,29.0,61.0,54.0,60.0,1036.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,119.0,109.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,10.0,317.0,322.0,,,,,,,,3.0,529.0,,,,,,,,,,,,,,,,,, +671,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2023-04-18 16:27:58.000000,2022-09-21 12:53:05,410.0,,140.0,97.0,113.0,33.0,40.0,1035.0,PFRL: a PyTorch-based deep reinforcement learning library.,18.0,21,True,2021-07-07 02:48:20.000,0.3.0,5.0,pfrl,,,,,83.0,82.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000,1.0,403.0,403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +672,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-05-09 05:01:47.000000,2023-05-09 04:52:31,165.0,2.0,103.0,37.0,22.0,15.0,101.0,1021.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,21,True,2023-05-09 05:10:26.000,2.0.11,67.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2022-09-21 23:07:01.601,8.0,13061.0,13061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +673,TensorNets,taehoonlee/tensornets,tensorflow-utils,,https://github.com/taehoonlee/tensornets,https://github.com/taehoonlee/tensornets,MIT,2017-09-19 05:19:01.000,2021-01-02 06:28:10.000000,2021-01-02 06:26:24,284.0,,184.0,52.0,12.0,16.0,42.0,1012.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],65.0,61.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,234.0,234.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +674,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,108.0,50.0,98.0,41.0,51.0,980.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,21,True,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],177.0,169.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,8.0,2903.0,2903.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +675,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08,205.0,,247.0,46.0,45.0,25.0,127.0,950.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,False,2020-10-12 06:56:40.000,0.7.6,2.0,aocr,,,,['tensorflow'],25.0,25.0,https://pypi.org/project/aocr,,,169.0,169.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +676,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,132.0,36.0,16.0,8.0,3.0,905.0,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3444.0,3432.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,12.0,2010.0,2010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +677,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,69.0,6.0,5.0,4.0,22.0,765.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,True,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],321.0,309.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,12.0,54740.0,54740.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +678,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2023-03-30 20:05:58.000000,2019-11-15 21:43:53,221.0,,158.0,76.0,98.0,51.0,43.0,754.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,21,False,2018-11-16 20:50:02.000,0.6.0,6.0,tensorframes,,,,"['tensorflow', 'spark']",1.0,,https://pypi.org/project/tensorframes,2018-05-16 14:20:28.000,1.0,38353.0,38353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +679,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-05-19 19:28:51.000000,2023-05-19 19:28:50,201.0,6.0,75.0,18.0,141.0,23.0,76.0,747.0,Library to enable Bayesian active learning in your research or labeling work.,19.0,21,True,2022-10-28 21:55:27.000,1.7.0,16.0,baal,conda-forge/baal,,,,50.0,49.0,https://pypi.org/project/baal,2022-10-28 21:54:04.326,1.0,1317.0,1517.0,https://anaconda.org/conda-forge/baal,2022-10-31 01:52:41.875,5606.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +680,NearPy,pixelogik/NearPy,nn-search,,https://github.com/pixelogik/NearPy,https://github.com/pixelogik/NearPy,MIT,2013-04-25 09:10:26.000,2023-02-23 15:20:18.000000,2023-01-22 20:07:16,161.0,,145.0,38.0,33.0,24.0,39.0,739.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",19.0,21,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,97.0,81.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,1296.0,1296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +681,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,153.0,38.0,46.0,38.0,49.0,730.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,84.0,76.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,8.0,714.0,714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +682,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2021-05-23 07:15:46.567000,2019-10-30 09:27:48,189.0,,80.0,21.0,12.0,,38.0,673.0,Python package for stacking (machine learning technique).,1.0,21,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,311.0,304.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,7.0,7112.0,7173.0,https://anaconda.org/conda-forge/vecstack,2021-05-23 07:15:46.567,1477.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +683,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57,430.0,,68.0,28.0,422.0,10.0,237.0,627.0,torchbearer: A model fitting library for PyTorch.,13.0,21,False,2020-01-31 14:07:22.000,0.5.3,24.0,torchbearer,,,,['pytorch'],81.0,77.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000,4.0,680.0,680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +684,combo,yzhao062/combo,sklearn-utils,,https://github.com/yzhao062/combo,https://github.com/yzhao062/combo,BSD-2-Clause,2019-07-14 01:13:36.000,2023-01-14 04:46:24.000000,2023-01-14 04:46:24,210.0,,100.0,30.0,1.0,12.0,3.0,617.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",553.0,548.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,5.0,32396.0,32396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +685,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2022-10-16 06:18:34.000000,2022-04-22 06:33:31,188.0,,112.0,27.0,23.0,55.0,35.0,571.0,a distributed Hyperband implementation on Steroids.,11.0,21,False,2019-07-30 12:47:43.000,1.0,1.0,hpbandster,conda-forge/hpbandster,,,,352.0,352.0,https://pypi.org/project/hpbandster,,,20326.0,20662.0,https://anaconda.org/conda-forge/hpbandster,2020-12-11 15:57:39.186,9770.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +686,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,,2015-09-09 13:39:18.000,2023-03-16 14:09:45.996000,2018-12-04 14:43:25,32.0,,66.0,22.0,7.0,21.0,41.0,553.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,21,False,2018-01-15 18:11:51.000,0.9.0,8.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],327.0,327.0,https://pypi.org/project/pivottablejs,,,20897.0,20923.0,https://anaconda.org/anaconda/pivottablejs,2023-03-16 14:09:45.996,2297.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +687,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-05-21 13:13:28.000000,2023-05-21 13:00:38,764.0,11.0,63.0,18.0,111.0,8.0,46.0,545.0,A simplified framework and utilities for PyTorch.,20.0,21,False,2023-05-21 13:13:28.000,1.17,36.0,poutyne,,,,['pytorch'],111.0,111.0,https://pypi.org/project/poutyne,,,4859.0,4859.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +688,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2023-05-12 14:10:10.000000,2023-05-12 14:10:10,860.0,2.0,94.0,43.0,61.0,48.0,22.0,544.0,Bias and Fairness Audit Toolkit.,18.0,21,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,140.0,134.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000,6.0,1546.0,1546.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +689,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2022-11-29 07:53:00.000000,2021-12-19 09:41:43,133.0,,50.0,12.0,20.0,11.0,37.0,484.0,Joyplots in Python with matplotlib & pandas.,6.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,287.0,278.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,14409.0,14808.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760,19980.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +690,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-03-27 07:10:33.000000,2023-03-27 07:10:33,410.0,4.0,51.0,59.0,8.0,18.0,24.0,473.0,Python library assists deep learning on graphs.,17.0,21,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,50.0,49.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,524.0,524.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,, +691,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-05-25 14:38:02.000000,2023-02-15 18:07:44,492.0,,33.0,14.0,215.0,15.0,36.0,449.0,Monitor the stability of a Pandas or Spark dataframe.,16.0,21,True,2022-10-19 14:35:12.590,1.4.0,32.0,popmon,,,,"['pandas', 'spark']",21.0,19.0,https://pypi.org/project/popmon,2022-10-19 14:35:12.590,2.0,10611.0,10613.0,,,,,,,,3.0,79.0,,,,,,,,,,,,,,,,,, +692,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-02-13 14:39:22.000000,2020-05-11 14:32:38,782.0,,78.0,24.0,11.0,48.0,49.0,405.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,112.0,98.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,6075.0,6075.0,,,,,,,,3.0,70.0,,,,,,,,,,,,,,,,,, +693,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-01-09 20:08:52.000000,2023-01-09 20:06:01,2410.0,,52.0,25.0,230.0,57.0,195.0,375.0,Studio: Simplify and expedite model building process.,22.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,442.0,442.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +694,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-05-17 03:31:02.000000,2021-05-28 01:21:58,393.0,,128.0,34.0,319.0,77.0,125.0,299.0,Brain Imaging Analysis Kit.,34.0,21,False,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,19.0,18.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,155.0,164.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,838.0,3.0,,,,,,,,,,,,,,,,,,, +695,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2023-03-23 15:39:49.000000,2023-02-07 20:17:52,60.0,,50.0,25.0,41.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,21,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",17.0,15.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,249057.0,249057.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +696,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-05-25 13:57:49.000000,2023-05-24 18:30:41,553.0,71.0,11.0,19.0,234.0,26.0,57.0,233.0,Serverside scaling for Vega and Altair visualizations.,3.0,21,False,2023-05-08 21:27:38.000,1.2.4,48.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,8.0,6.0,https://pypi.org/project/vegafusion-jupyter,2023-01-30 21:11:00.495,1.0,1035.0,5858.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-05-09 11:31:03.167,52566.0,,,,,3.0,2894.0,,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2023-05-23 23:32:32.026,1.0,889.0,,,,hex-inc/vegafusion,,,,,,, +697,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2022-10-29 15:10:50.926000,2022-04-14 09:41:50,86.0,,33.0,13.0,9.0,3.0,12.0,220.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,21,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,761.0,719.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,42.0,124640.0,125794.0,https://anaconda.org/conda-forge/py3nvml,2022-10-29 15:10:50.926,46166.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +698,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2023-05-02 04:19:32.000000,2023-04-20 08:01:16,1433.0,26.0,40.0,14.0,121.0,15.0,62.0,191.0,Python Implementation and Extension of RDF2Vec.,6.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,32.0,30.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,285.0,285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +699,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2022-08-19 00:53:25.000000,2022-02-10 07:36:23,432.0,,475.0,85.0,179.0,108.0,161.0,3418.0,A high performance and generic framework for distributed DNN training.,21.0,20,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,23.0,50.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1306.0,3.0,,,,,,,,,,,,,,,,,,, +700,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45,27.0,,327.0,76.0,1.0,18.0,7.0,2896.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],176.0,168.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,8.0,1223.0,1223.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +701,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,12.0,304.0,57.0,242.0,158.0,108.0,2757.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,False,2022-11-02 09:30:27.000,3.0.1,13.0,lightseq,,,,,,,https://pypi.org/project/lightseq,,,3477.0,3493.0,,,,,,,,3.0,657.0,,,,,,,,,,,,,,,,,, +702,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-04-27 17:39:37.000000,2023-04-27 17:39:32,763.0,2.0,352.0,94.0,541.0,83.0,91.0,2715.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,20,True,2019-05-09 10:06:22.000,1.0.0,1.0,tensorflow-graphics,,,,['tensorflow'],,,https://pypi.org/project/tensorflow-graphics,,,4409.0,4409.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +703,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,440.0,130.0,225.0,87.0,183.0,2248.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,36.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +704,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2022-06-24 01:30:44.000000,2022-06-24 01:30:35,247.0,,255.0,53.0,33.0,13.0,104.0,1905.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:08:36.000,1.4.4,21.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,,,1669.0,1669.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +705,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2022-03-27 16:48:51.000000,2022-01-18 08:05:49,304.0,,124.0,22.0,25.0,18.0,28.0,1713.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",10.0,20,False,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],24.0,23.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,495.0,691.0,https://anaconda.org/conda-forge/ecco,2022-01-10 22:03:30.223,3330.0,,,,,3.0,45.0,,,,,,,,,,,,,,,,,, +706,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2023-05-13 08:12:35.000000,2023-05-13 08:12:05,905.0,1.0,203.0,53.0,51.0,66.0,148.0,1480.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,20,True,2019-11-17 09:36:51.000,0.3.4,5.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,,,412.0,445.0,,,,,,,,3.0,2611.0,,,,,,,,,,,,,,,,,, +707,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2023-05-23 14:46:27.000000,2023-05-23 14:46:27,353.0,6.0,115.0,16.0,51.0,8.0,28.0,1367.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,12.0,20,True,2023-02-23 16:10:05.727,0.1.1,11.0,pythae,,,,['pytorch'],6.0,6.0,https://pypi.org/project/pythae,2022-10-19 12:00:33.174,,503.0,503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +708,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-01-03 12:07:57.000000,2022-11-22 10:31:22,441.0,,202.0,55.0,79.0,57.0,204.0,975.0,Line based ATR Engine based on OCRopy.,20.0,20,True,2022-03-21 11:52:48.000,2.2.2,34.0,calamari_ocr,,,,,,,https://pypi.org/project/calamari_ocr,,,1420.0,1420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +709,Performer Pytorch,lucidrains/performer-pytorch,pytorch-utils,,https://github.com/lucidrains/performer-pytorch,https://github.com/lucidrains/performer-pytorch,MIT,2020-10-03 03:41:36.000,2022-02-02 20:33:32.000000,2022-02-02 20:33:18,124.0,,138.0,16.0,11.0,41.0,43.0,951.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,20,False,2022-02-02 20:33:33.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],85.0,85.0,https://pypi.org/project/performer-pytorch,,,12497.0,12497.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +710,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-04-17 18:56:30.000000,2023-04-17 18:56:30,421.0,4.0,174.0,60.0,6.0,13.0,29.0,914.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",4.0,20,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,167.0,167.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +711,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-05-25 00:02:49.000000,2023-05-21 05:32:14,429.0,24.0,103.0,17.0,108.0,13.0,94.0,913.0,A standard framework for modelling Deep Learning Models for tabular data.,15.0,20,True,2023-01-20 12:52:22.000,1.0.1,10.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2023-01-20 12:10:00.661,2.0,1717.0,1717.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,, +712,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2023-05-09 14:41:47.000000,2022-12-12 08:52:31,580.0,,280.0,94.0,120.0,56.0,94.0,908.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,20,True,,,6.0,astroML,conda-forge/astroml,,,['sklearn'],,,https://pypi.org/project/astroML,,,1527.0,2072.0,https://anaconda.org/conda-forge/astroml,2022-03-02 04:14:21.434,37661.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +713,tffm,geffy/tffm,tensorflow-utils,,https://github.com/geffy/tffm,https://github.com/geffy/tffm,MIT,2016-05-02 17:06:07.000,2022-01-17 20:39:04.000000,2022-01-17 20:38:58,107.0,,188.0,34.0,15.0,18.0,22.0,785.0,TensorFlow implementation of an arbitrary order Factorization Machine.,11.0,20,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],14.0,13.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,1228.0,1228.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +714,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-05-01 22:20:41.000000,2023-05-01 22:20:40,447.0,7.0,69.0,26.0,156.0,40.0,60.0,742.0,,25.0,20,False,2022-02-01 00:17:20.000,1.6.0,7.0,objax,,,,['jax'],36.0,36.0,https://pypi.org/project/objax,,,648.0,648.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +715,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06,37.0,,137.0,26.0,17.0,20.0,4.0,722.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,20,False,,,1.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],445.0,445.0,https://pypi.org/project/treeinterpreter,,,98546.0,98648.0,https://anaconda.org/conda-forge/treeinterpreter,2020-10-03 05:29:07.840,3170.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +716,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2023-05-25 10:16:47.000000,2023-05-18 17:21:50,1498.0,8.0,75.0,36.0,629.0,23.0,117.0,679.0,Scikit-learn style model finetuning for NLP.,21.0,20,True,2019-01-18 20:10:51.000,0.5.14,14.0,finetune,,,,"['tensorflow', 'sklearn']",9.0,9.0,https://pypi.org/project/finetune,,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +717,TensorBoard Logger,TeamHG-Memex/tensorboard_logger,ml-experiments,,https://github.com/TeamHG-Memex/tensorboard_logger,https://github.com/TeamHG-Memex/tensorboard_logger,MIT,2016-10-27 14:02:25.000,2022-12-26 20:24:35.000000,2019-10-21 07:52:07,46.0,,52.0,30.0,12.0,11.0,15.0,625.0,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,52.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,52.0,14009.0,14009.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +718,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2022-12-10 18:58:38.000000,2022-02-09 16:35:40,142.0,,102.0,23.0,24.0,42.0,61.0,591.0,Build fully-functioning computer vision models with PyTorch.,12.0,20,False,2022-02-02 00:22:07.000,1.2.2,13.0,detecto,conda-forge/detecto,,,['pytorch'],137.0,135.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,3075.0,3187.0,https://anaconda.org/conda-forge/detecto,2022-02-02 08:20:04.359,2597.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +719,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2023-03-25 01:07:25.000000,2021-09-16 17:56:31,171.0,,143.0,35.0,78.0,14.0,55.0,573.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],20.0,17.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,384.0,384.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +720,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:04:02.113000,2022-08-27 09:00:35,283.0,,64.0,30.0,31.0,6.0,24.0,550.0,Python module for machine learning time series:.,14.0,20,True,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,41.0,39.0,https://pypi.org/project/seglearn,2022-08-27 09:04:02.113,2.0,2121.0,2121.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +721,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,163.0,56.0,20.0,39.0,60.0,532.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,25.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,127.0,127.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +722,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2023-05-14 17:14:49.000000,2023-05-13 10:01:14,420.0,2.0,47.0,26.0,2.0,7.0,24.0,457.0,Active Learning for Text Classification in Python.,3.0,20,True,2023-02-21 21:15:04.000,1.3.0,17.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",19.0,19.0,https://pypi.org/project/small-text,2022-10-14 20:40:17.455,,649.0,935.0,https://anaconda.org/conda-forge/small-text,2023-02-21 21:43:12.891,2864.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +723,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2023-03-05 16:57:13.000000,2023-03-05 00:16:57,419.0,2.0,94.0,34.0,276.0,65.0,171.0,422.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",18.0,20,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,70.0,69.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,1.0,1058.0,1061.0,,,,,,,,3.0,252.0,,,,,,,,,,,,,,,,,, +724,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-04-12 06:15:20.000000,2023-04-06 01:56:24,986.0,2.0,55.0,8.0,202.0,27.0,95.0,422.0,A package built on top of Hugging Faces transformers library that makes it easy to utilize state-of-the-art NLP models.,14.0,20,True,2022-02-06 06:58:53.000,2.4.1,39.0,happytransformer,,,,['huggingface'],158.0,158.0,https://pypi.org/project/happytransformer,,,4616.0,4616.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +725,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-02-10 06:20:14.000000,2021-02-15 17:10:59,283.0,,67.0,25.0,48.0,14.0,19.0,384.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,20,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],44.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,44.0,3582.0,4046.0,https://anaconda.org/conda-forge/skrebate,2021-02-16 02:08:21.926,29720.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +726,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-04-07 01:12:52.000000,2022-07-07 13:45:02,146.0,,43.0,16.0,2.0,7.0,3.0,348.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,2.0,20,True,2021-10-01 18:05:35.000,0.0.8,9.0,suod,,,,,484.0,482.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000,2.0,19674.0,19674.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +727,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-05-01 08:23:46.000000,2023-05-01 08:23:44,634.0,24.0,60.0,32.0,383.0,11.0,91.0,346.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,14.0,20,True,,,28.0,vega,conda-forge/vega,,,['jupyter'],2.0,2.0,https://pypi.org/project/vega,,,8930.0,15565.0,https://anaconda.org/conda-forge/vega,2023-04-12 22:40:11.820,550756.0,,,,,3.0,,-5.0,,,,,,,,,,,,,,,,, +728,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,47.0,10.0,37.0,28.0,37.0,336.0,Data imputations library to preprocess datasets with missing data.,11.0,20,False,2019-04-29 02:31:32.000,0.0.8,8.0,impyute,,,,,186.0,182.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000,4.0,6967.0,6967.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +729,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,46.0,26.0,19.0,16.0,15.0,327.0,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],206.0,199.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,7.0,5050.0,5050.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +730,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2023-05-03 22:54:39.000000,2023-05-03 22:38:20,315.0,4.0,78.0,24.0,321.0,21.0,9.0,308.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,33.0,20,True,2023-05-03 23:01:17.460,0.44.0,30.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2022-12-13 19:06:03.653,,1185.0,1185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +731,pyfasttext,vrasneur/pyfasttext,nlp,,https://github.com/vrasneur/pyfasttext,https://github.com/vrasneur/pyfasttext,GPL-3.0,2017-06-30 18:44:42.000,2018-12-08 15:32:09.000000,2018-12-08 15:02:12,153.0,,31.0,9.0,4.0,20.0,29.0,230.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,337.0,323.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,4411.0,4416.0,,,,,,,,3.0,361.0,,,,,,,,,,,,,,,,,, +732,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-02-16 21:22:03.000000,2023-02-06 22:03:09,575.0,,19.0,19.0,463.0,89.0,75.0,221.0,Functional tensors for probabilistic programming.,11.0,20,False,2023-01-23 08:32:39.757,0.4.5,11.0,funsor,,,,['pytorch'],54.0,50.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,4.0,1946.0,1946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +733,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-04-15 07:33:54.000000,2023-02-07 10:12:31,47.0,,1952.0,146.0,83.0,203.0,283.0,11059.0,End-to-End Object Detection with Transformers.,26.0,19,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +734,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-05-11 05:02:22.000000,2023-04-24 20:19:33,186.0,2.0,1072.0,96.0,45.0,333.0,273.0,5668.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,30.0,19,True,,,,pyslowfast,,,,['pytorch'],10.0,10.0,https://pypi.org/project/pyslowfast,,,14.0,14.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +735,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2023-05-08 03:33:49.000000,2020-04-18 19:15:25,24.0,,597.0,105.0,25.0,20.0,7.0,4982.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,19,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],25.0,23.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,1354.0,1354.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +736,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05,112.0,,347.0,102.0,14.0,51.0,16.0,3305.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",13.0,19,False,,,,tensorwatch,,,,,109.0,109.0,https://pypi.org/project/tensorwatch,,,1403.0,1403.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +737,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,639.0,75.0,53.0,161.0,100.0,3274.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,19,False,2021-10-18 02:38:39.000,0.8.1,17.0,gpt-2-simple,,,,['tensorflow'],,,https://pypi.org/project/gpt-2-simple,,,5121.0,5130.0,,,,,,,,3.0,455.0,,,,,,,,,,,,,,,,,, +738,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2023-04-08 21:24:52.000000,2023-04-08 21:24:51,429.0,2.0,162.0,65.0,54.0,6.0,44.0,3047.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,19,True,2021-11-19 16:51:47.000,1.0.0,34.0,igel,,,,,4.0,4.0,https://pypi.org/project/igel,2021-11-19 16:44:23.000,,139.0,140.0,,,,,,,,3.0,35.0,,,,,,,,,,,,,,,,,, +739,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2021-07-15 01:54:59.000000,2021-06-15 18:41:51,22.0,,252.0,32.0,18.0,27.0,36.0,2669.0,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,1114.0,1114.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +740,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-05-19 09:50:33.000000,2023-05-19 09:50:27,544.0,49.0,308.0,37.0,639.0,76.0,69.0,2189.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,63.0,19,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +741,Lambda Networks,lucidrains/lambda-networks,pytorch-utils,,https://github.com/lucidrains/lambda-networks,https://github.com/lucidrains/lambda-networks,MIT,2020-10-08 19:01:15.000,2020-11-18 19:54:34.000000,2020-11-18 19:54:30,31.0,,156.0,47.0,3.0,13.0,15.0,1520.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,19,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],6.0,6.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,1400.0,1400.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +742,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2023-03-24 22:27:46.000000,2019-01-21 14:01:28,379.0,,400.0,102.0,36.0,7.0,24.0,1377.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,19,False,,,,dltk,,,,['tensorflow'],30.0,30.0,https://pypi.org/project/dltk,,,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +743,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2022-06-13 13:53:07.000000,2019-05-06 07:06:50,159.0,,164.0,55.0,14.0,27.0,19.0,991.0,python toolbox for visualizing geographical data and making maps.,8.0,19,False,,,1.0,geoplotlib,conda-forge/geoplotlib,,,,157.0,157.0,https://pypi.org/project/geoplotlib,,,1721.0,1851.0,https://anaconda.org/conda-forge/geoplotlib,2021-05-31 16:11:51.234,3139.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +744,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2022-09-10 19:14:50.000000,2020-05-03 16:12:29,469.0,,143.0,36.0,43.0,19.0,11.0,961.0,"A program for financial portfolio management, analysis and optimisation.",9.0,19,False,2020-05-03 16:19:19.000,0.2.2,6.0,FinQuant,,,,,74.0,74.0,https://pypi.org/project/FinQuant,2020-05-03 16:19:19.000,,275.0,275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +745,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44,79.0,,130.0,27.0,73.0,39.0,36.0,941.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,19,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,2.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,2.0,217469.0,217647.0,https://anaconda.org/conda-forge/adtk,2020-04-20 19:46:14.062,6772.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +746,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,15.0,24.0,57.0,69.0,842.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,80.0,79.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,503.0,503.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +747,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-05-24 19:30:26.000000,2023-05-24 19:30:26,918.0,75.0,116.0,31.0,790.0,14.0,50.0,726.0,Machine learning framework for both deep learning and traditional algorithms.,33.0,19,True,2021-06-22 05:25:53.000,NeoML-master_2.0.5.0,2.0,neoml,,,,,,,https://pypi.org/project/neoml,,,44.0,44.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +748,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2022-12-29 13:21:52.000000,2021-07-30 15:06:27,104.0,,125.0,30.0,27.0,17.0,34.0,721.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,19,False,2021-07-30 15:07:28.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],40.0,40.0,https://pypi.org/project/sklearn-deap,,,439.0,439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +749,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-05-19 13:50:11.000000,2023-05-18 18:43:45,1281.0,13.0,116.0,44.0,422.0,24.0,129.0,672.0,GPU accelerated signal processing.,46.0,19,True,2023-04-12 13:24:36.000,23.04.00,19.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +750,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-04-10 02:14:41.000000,2023-02-20 06:04:49,289.0,,54.0,23.0,44.0,10.0,16.0,664.0,EvoJAX: Hardware-accelerated Neuroevolution.,13.0,19,True,2022-10-05 05:02:01.602,0.2.15,21.0,evojax,conda-forge/evojax,,,['jax'],5.0,4.0,https://pypi.org/project/evojax,2022-10-05 05:02:01.602,1.0,746.0,1857.0,https://anaconda.org/conda-forge/evojax,2022-10-05 08:26:30.971,16673.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +751,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2023-05-17 01:16:27.000000,2023-05-17 01:16:05,274.0,8.0,99.0,18.0,19.0,,80.0,579.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",9.0,19,True,2023-05-17 01:18:01.881,0.0.71,34.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2022-08-16 12:44:30.642,,3006.0,3006.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +752,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44,264.0,,70.0,40.0,16.0,13.0,22.0,546.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,19,False,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,31.0,27.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,587.0,587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +753,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2022-06-08 03:46:06.000000,2022-06-08 03:46:02,305.0,,99.0,9.0,14.0,5.0,16.0,545.0,Make Waffle Charts in Python.,6.0,19,True,,,5.0,pywaffle,conda-forge/pywaffle,,,,233.0,233.0,https://pypi.org/project/pywaffle,,,3536.0,3715.0,https://anaconda.org/conda-forge/pywaffle,2022-06-05 04:31:54.543,9511.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +754,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54,172.0,,45.0,10.0,8.0,10.0,19.0,473.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,19,False,2020-02-28 17:43:07.000,0.5.0,1.0,apricot-select,,,,,54.0,54.0,https://pypi.org/project/apricot-select,,,9258.0,9258.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,, +755,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2023-04-24 18:46:40.000000,2022-04-05 03:21:24,38.0,,57.0,11.0,10.0,19.0,40.0,465.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,19,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,35.0,35.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,2022.0,2022.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +756,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-03-30 21:45:50.000000,2023-03-30 21:45:50,361.0,3.0,95.0,18.0,3.0,5.0,27.0,401.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..",6.0,19,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,38.0,38.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,662.0,662.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +757,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2023-05-22 07:49:17.000000,2023-05-19 21:47:48,2304.0,152.0,56.0,11.0,225.0,4.0,96.0,385.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,19.0,19,True,2022-08-21 21:20:01.713,0.1.1,11.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2022-08-21 21:20:01.713,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +758,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-05-25 13:11:47.000000,2023-05-05 12:34:34,788.0,10.0,18.0,5.0,61.0,26.0,15.0,284.0,Flexible time series feature extraction & processing.,5.0,19,False,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,6.0,6.0,https://pypi.org/project/tsflex,2022-10-11 21:38:11.312,,1291.0,1992.0,https://anaconda.org/conda-forge/tsflex,2022-10-12 07:05:42.735,15424.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +759,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2023-05-25 12:26:20.000000,2023-05-24 17:14:49,665.0,8.0,48.0,25.0,73.0,12.0,21.0,259.0,A Python implementation of active inference for Markov Decision Processes.,13.0,19,False,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,6.0,6.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +760,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-05-22 09:04:39.000000,2023-05-12 13:16:16,354.0,33.0,69.0,23.0,363.0,31.0,46.0,254.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,30.0,19,False,2022-06-03 15:53:33.000,0.2.0,14.0,pipeline-dp,,,,,,,https://pypi.org/project/pipeline-dp,2023-01-30 14:45:00.398,,115.0,115.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +761,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2023-01-26 17:04:18.000000,2023-01-26 17:04:18,400.0,,96.0,18.0,385.0,59.0,86.0,230.0,An open-source toolkit for large-scale genomic analysis.,24.0,19,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2022-04-19 23:43:38.000,,48944.0,49059.0,https://anaconda.org/conda-forge/glow,2021-04-28 16:52:48.812,3130.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +762,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2023-04-25 06:51:46.000000,2023-04-25 06:51:44,562.0,1.0,34.0,23.0,615.0,21.0,125.0,225.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,19,False,2023-01-20 22:15:03.430,0.11.0,18.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-01-20 22:15:03.430,,275.0,298.0,,,,,,,,3.0,900.0,,,,,,,,,,,,,,,,,, +763,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-05-25 13:41:52.000000,2023-05-25 11:28:15,542.0,77.0,18.0,4.0,213.0,2.0,,218.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,9.0,19,False,2023-05-25 11:30:01.286,1.1.139,393.0,upgini,,,,,1.0,1.0,https://pypi.org/project/upgini,2022-06-30 10:58:25.000,,7018.0,7018.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +764,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-05-01 07:53:03.000000,2023-05-01 07:50:02,24.0,2.0,23.0,7.0,11.0,2.0,9.0,203.0,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,2023-01-03 08:04:12.000,0.2.2,3.0,numerizer,,,,,50.0,50.0,https://pypi.org/project/numerizer,,,5513.0,5513.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +765,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-05-19 19:20:21.000000,2022-11-28 08:00:21,399.0,,39.0,15.0,60.0,8.0,28.0,199.0,Represent trained machine learning models as Pyomo optimization formulations.,13.0,19,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,15911.0,15911.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +766,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-04-19 15:32:40.000000,2023-04-19 15:21:42,259.0,3.0,29.0,11.0,194.0,23.0,72.0,172.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,19,False,2022-07-20 11:16:35.529,0.7.2,14.0,celer,,,,['sklearn'],26.0,25.0,https://pypi.org/project/celer,2022-07-20 11:16:35.529,1.0,792.0,792.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +767,SerpentAI,SerpentAI/SerpentAI,reinforcement-learning,,https://github.com/SerpentAI/SerpentAI,https://github.com/SerpentAI/SerpentAI,MIT,2017-04-16 21:48:39.000,2022-11-07 01:59:31.000000,2020-05-22 22:34:09,250.0,,765.0,338.0,58.0,2.0,,6495.0,Game Agent Framework. Helping you create AIs / Bots that learn to play any game you own!.,7.0,18,False,2018-02-17 00:12:46.000,2018.1.2,18.0,SerpentAI,,,,,,,https://pypi.org/project/SerpentAI,2018-02-17 00:12:46.000,,63.0,70.0,,,,,,,,3.0,285.0,,,,,,,,,,,,,,,,,, +768,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2022-12-21 23:38:02.000000,2020-02-09 21:03:48,299.0,,407.0,110.0,83.0,62.0,48.0,2861.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,116.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235,8286.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +769,keepsake,replicate/keepsake,ml-experiments,,https://github.com/replicate/keepsake,https://github.com/replicate/keepsake,Apache-2.0,2020-07-01 04:37:44.000,2023-03-03 23:59:33.000000,2022-05-24 23:48:09,791.0,,71.0,19.0,1004.0,127.0,65.0,1624.0,Version control for machine learning.,17.0,18,True,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000,1.0,160.0,160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +770,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-03-30 17:22:47.000000,2023-03-14 23:02:49,75.0,4.0,160.0,24.0,17.0,12.0,27.0,1367.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,2.0,2.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,48.0,48.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,, +771,AdvBox,advboxes/AdvBox,adversarial,,https://github.com/advboxes/AdvBox,https://github.com/advboxes/AdvBox,Apache-2.0,2018-08-08 08:55:41.000,2023-02-15 19:57:27.000000,2022-08-08 02:56:23,378.0,,250.0,56.0,65.0,8.0,31.0,1309.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,True,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,30.0,30.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +772,doc2text,jlsutherland/doc2text,ocr,,https://github.com/jlsutherland/doc2text,https://github.com/jlsutherland/doc2text,MIT,2016-08-28 19:30:02.000,2020-12-01 22:56:27.000000,2020-12-01 22:56:26,62.0,,95.0,40.0,13.0,13.0,9.0,1261.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,18,False,,,,doc2text,,,,,82.0,82.0,https://pypi.org/project/doc2text,,,1109.0,1109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +773,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,86.0,34.0,72.0,24.0,30.0,1073.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,18,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,,10399.0,10399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +774,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-05-18 02:26:52.000000,2023-05-18 02:26:52,1358.0,19.0,110.0,19.0,294.0,3.0,60.0,968.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,18,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +775,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2022-10-24 19:29:28.000000,2022-02-14 20:43:06,145.0,,152.0,17.0,41.0,21.0,57.0,795.0,"A library for experimenting with, training and evaluating neural networks, with a focus on adversarial robustness.",13.0,18,False,2020-12-01 06:11:12.000,1.2.1.post2,7.0,robustness,conda-forge/robustness,,,,131.0,131.0,https://pypi.org/project/robustness,,,332.0,528.0,https://anaconda.org/conda-forge/robustness,2021-04-30 19:03:43.367,6474.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +776,matrixprofile-ts,target/matrixprofile-ts,time-series-data,,https://github.com/target/matrixprofile-ts,https://github.com/target/matrixprofile-ts,Apache-2.0,2018-09-10 19:03:34.000,2023-04-23 10:08:18.000000,2020-04-25 18:37:42,198.0,,98.0,25.0,48.0,19.0,35.0,710.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,18,False,,,,matrixprofile-ts,,,,,20.0,20.0,https://pypi.org/project/matrixprofile-ts,,,689.0,689.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +777,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-04-01 08:26:45.000000,2021-10-13 21:05:33,5078.0,,84.0,20.0,58.0,2.0,13.0,688.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,18,False,2021-10-06 07:29:20.000,2.0.3,13.0,caer,,,https://caer.rtfd.io,,,,https://pypi.org/project/caer,,,2173.0,2173.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,, +778,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2023-04-24 11:42:30.000000,2022-07-27 19:55:38,93.0,,51.0,13.0,10.0,22.0,17.0,664.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,18,True,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,19.0,19.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,1976.0,1976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +779,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137.0,59.0,72.0,18.0,71.0,522.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,14.0,14.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,117.0,117.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +780,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-05-23 06:19:14.000000,2023-03-17 20:11:57,287.0,4.0,93.0,15.0,35.0,8.0,14.0,506.0,A library of metrics for evaluating recommender systems.,19.0,18,True,2022-04-26 18:03:18.000,0.1.5,1.0,recmetrics,,,,,41.0,41.0,https://pypi.org/project/recmetrics,,,3132.0,3132.0,,,,,,,,3.0,2.0,,,,,,,,,,,,,,,,,, +781,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-05-02 04:54:25.000000,2021-06-13 00:22:13,176.0,,116.0,19.0,17.0,66.0,24.0,489.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,18,False,,,,deepmatcher,,,,,24.0,24.0,https://pypi.org/project/deepmatcher,,,3207.0,3207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +782,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,15.0,148.0,39.0,66.0,447.0,A High Level API for Deep Learning in JAX.,18.0,18,True,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",40.0,40.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,268.0,268.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +783,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:08:48.000000,2021-11-25 23:08:43,204.0,,87.0,24.0,18.0,5.0,20.0,438.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:10:34.000,1.1.1,2.0,caserecommender,,,,['sklearn'],11.0,11.0,https://pypi.org/project/caserecommender,,,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +784,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2023-02-27 22:51:28.000000,2023-02-27 22:51:28,276.0,1.0,73.0,14.0,125.0,14.0,135.0,438.0,A Python library for dynamic classifier and ensemble selection.,15.0,18,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],42.0,40.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000,2.0,1262.0,1262.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +785,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,,47.0,18.0,7.0,15.0,4.0,401.0,Topological Data Analysis for Python.,4.0,18,False,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],45.0,45.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,3419.0,3419.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +786,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18,178.0,,38.0,10.0,29.0,14.0,17.0,400.0,A python package for animating plots build on matplotlib.,7.0,18,False,2019-03-05 21:32:47.000,0.4.1,7.0,animatplot,conda-forge/animatplot,,,,47.0,47.0,https://pypi.org/project/animatplot,,,259.0,481.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460,11345.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +787,Julius,adefossez/julius,audio,,https://github.com/adefossez/julius,https://github.com/adefossez/julius,MIT,2020-10-26 10:54:21.000,2022-09-26 14:14:12.000000,2022-09-19 16:13:14,69.0,,23.0,9.0,9.0,1.0,9.0,339.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,18,True,,,,julius,,,,['pytorch'],344.0,344.0,https://pypi.org/project/julius,,,156401.0,156401.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +788,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51.0,11.0,60.0,16.0,41.0,319.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,4.0,parameter-sherpa,,,,,30.0,30.0,https://pypi.org/project/parameter-sherpa,,,414.0,414.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +789,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2023-04-03 11:31:55.000000,2023-04-03 11:31:55,66.0,1.0,55.0,8.0,9.0,6.0,13.0,314.0,TextAugment: Text Augmentation Library.,7.0,18,True,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,51.0,51.0,https://pypi.org/project/textaugment,,,3439.0,3440.0,,,,,,,,3.0,57.0,,,,,,,,,,,,,,,,,, +790,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,71.0,19.0,93.0,25.0,18.0,304.0,"pandas, scikit-learn, xgboost and seaborn integration.",4.0,18,False,2019-03-05 01:36:12.000,0.6.1,9.0,pandas-ml,,,,"['sklearn', 'pandas']",11.0,,https://pypi.org/project/pandas-ml,2019-03-05 01:35:23.000,11.0,5275.0,5275.0,,,,,,,,3.0,6.0,,,,,,,,,,,,,,,,,, +791,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-01-11 12:25:50.000000,2023-01-11 12:11:20,623.0,,37.0,11.0,60.0,3.0,56.0,297.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,False,2023-01-11 12:25:50.000,2.09,35.0,ivis,,,,['tensorflow'],27.0,27.0,https://pypi.org/project/ivis,,,431.0,431.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +792,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2022-07-12 07:44:45.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,30.0,20.0,39.0,256.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,46.0,43.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,274.0,274.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +793,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2023-02-20 03:00:42.368000,2022-09-26 07:14:12,621.0,,64.0,28.0,29.0,28.0,112.0,250.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,18,False,2021-10-31 08:33:47.000,1.7.6,13.0,somoclu,conda-forge/somoclu,,,,,,https://pypi.org/project/somoclu,,,2662.0,3778.0,https://anaconda.org/conda-forge/somoclu,2023-02-20 03:00:42.368,75853.0,,,,,3.0,1715.0,,,,,,,,,,,,,,,,,, +794,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-03-21 12:10:06.000000,2022-03-11 01:14:19,702.0,,41.0,11.0,59.0,31.0,47.0,224.0,Scikit-learn compatible estimation of general graphical models.,6.0,18,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],11.0,9.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,2.0,80.0,80.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +795,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2021-07-24 06:21:40.748000,2019-03-06 20:41:09,5.0,,57.0,5.0,1.0,2.0,1.0,101.0,Python 3 Bindings for the NVIDIA Management Library.,2.0,18,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,7713.0,7539.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,174.0,289738.0,289774.0,https://anaconda.org/anaconda/nvidia-ml,2021-07-24 06:21:40.748,800.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +796,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1338.0,471.0,21.0,56.0,166.0,6867.0,A customisable 3D platform for agent-based AI research.,9.0,17,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +797,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,391.0,101.0,54.0,55.0,48.0,2859.0,Quickly search over billions of images.,19.0,17,False,2017-02-06 08:12:01.000,1.1.2,10.0,image_match,,,,,,,https://pypi.org/project/image_match,,,829.0,829.0,,,,,,,,3.0,,,,,,,,,,,,rhsimplex/image-match,,,,,,, +798,Advisor,tobegit3hub/advisor,hyperopt,,https://github.com/tobegit3hub/advisor,https://github.com/tobegit3hub/advisor,Apache-2.0,2017-09-14 03:50:33.000,2019-11-11 07:09:57.869705,2019-11-11 06:59:31,165.0,,259.0,53.0,13.0,20.0,13.0,1515.0,Open-source implementation of Google Vizier for hyper parameters tuning.,11.0,17,False,2018-10-18 02:54:09.000,0.1.6,4.0,advisor,,tobegit3hub/advisor,,,,,https://pypi.org/project/advisor,2018-10-18 02:54:09.000,,30.0,54.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1680.0,3.0,,,,,,,,,,,,,,,,,,, +799,Tez,abhishekkrthakur/tez,pytorch-utils,,https://github.com/abhishekkrthakur/tez,https://github.com/abhishekkrthakur/tez,Apache-2.0,2020-11-13 10:19:22.000,2023-01-29 16:52:18.000000,2022-09-16 11:03:31,144.0,,141.0,17.0,11.0,25.0,18.0,1137.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,True,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],44.0,42.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,472.0,472.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +800,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2022-10-01 22:21:58.000000,2022-10-01 22:21:50,400.0,,221.0,30.0,37.0,37.0,20.0,779.0,An open source python library for scalable Bayesian optimisation.,13.0,17,True,,,,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,,,23589.0,23589.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +801,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2022-04-07 20:52:55.000000,2022-04-07 20:49:56,235.0,,38.0,13.0,13.0,8.0,16.0,724.0,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,False,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],20.0,20.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2980.0,3094.0,https://anaconda.org/conda-forge/tensor-sensor,2021-12-11 23:37:02.831,2177.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +802,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-04-04 09:45:40.000000,2020-05-29 14:37:29,126.0,,87.0,18.0,15.0,10.0,22.0,708.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,17,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],13.0,13.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,427.0,427.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +803,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2022-12-08 03:38:11.000000,2021-04-11 07:50:00,405.0,,29.0,18.0,42.0,6.0,18.0,594.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,17,False,2020-11-15 13:40:18.000,0.4.2,14.0,baikal,conda-forge/cython-blis,,,,8.0,7.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,315.0,37225.0,https://anaconda.org/conda-forge/cython-blis,2022-11-15 08:47:23.392,1845514.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +804,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-05-11 15:22:02.000000,2023-05-11 15:21:58,809.0,2.0,36.0,15.0,16.0,2.0,19.0,568.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,17,True,2022-09-09 15:00:41.386,3.1.2,26.0,opytimizer,,,,,15.0,15.0,https://pypi.org/project/opytimizer,2022-09-09 15:00:41.386,,239.0,239.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +805,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2022-08-24 08:33:07.000000,2022-08-24 08:31:37,29.0,,57.0,6.0,1.0,2.0,24.0,454.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,17,True,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,13.0,12.0,https://pypi.org/project/shap-hypetune,2022-08-24 08:33:00.976,1.0,3571.0,3571.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +806,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-02-02 12:13:56.000000,2019-03-27 03:17:24,122.0,,105.0,70.0,6.0,14.0,19.0,409.0,semantic similarity framework for knowledge graph.,5.0,17,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,40.0,37.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,269.0,269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +807,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,,2016-10-30 16:46:35.466,2023-03-27 17:17:30.619000,2022-01-15 18:08:37,1718.0,,54.0,12.0,10.0,28.0,4.0,409.0,Pure-Python full-text search library.,42.0,17,False,,,1.0,whoosh,conda-forge/whoosh,,,,,,https://pypi.org/project/whoosh,,,228515.0,230756.0,https://anaconda.org/conda-forge/whoosh,2023-03-27 17:17:30.619,177087.0,,,,,3.0,,-8.0,,,,,,,,,,,,,,,,, +808,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2022-12-09 05:56:02.000000,2021-08-18 06:06:51,1404.0,,17.0,5.0,217.0,2.0,26.0,342.0,Camphr - NLP libary for creating pipeline components.,7.0,17,False,2020-08-21 04:45:06.000,0.7.0,21.0,camphr,,,,['spacy'],12.0,12.0,https://pypi.org/project/camphr,,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +809,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,29.0,11.0,121.0,31.0,150.0,342.0,Open source production model management tool for data scientists.,6.0,17,False,2018-12-07 06:16:42.000,0.0.40,41.0,datmo,,,,,5.0,5.0,https://pypi.org/project/datmo,2018-12-07 06:16:42.000,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +810,skift,shaypal5/skift,nlp,,https://github.com/shaypal5/skift,https://github.com/shaypal5/skift,MIT,2018-02-03 11:37:21.000,2022-06-07 15:07:07.000000,2022-06-07 15:07:04,141.0,,24.0,10.0,8.0,1.0,10.0,233.0,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],12.0,12.0,https://pypi.org/project/skift,2022-02-14 13:44:18.000,,2304.0,2304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +811,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-05-03 14:04:37.000000,2021-05-03 14:04:36,293.0,,33.0,13.0,36.0,6.0,44.0,219.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:12.000,0.4.1,11.0,muda,,,,,18.0,18.0,https://pypi.org/project/muda,,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +812,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-05-23 06:27:40.000000,2023-03-31 15:44:32,231.0,9.0,20.0,26.0,49.0,6.0,7.0,100.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,17,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],32.0,32.0,https://pypi.org/project/collie,2022-08-20 22:05:06.388,,129.0,129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +813,mesh-transformer-jax,kingoflolz/mesh-transformer-jax,distributed-ml,,https://github.com/kingoflolz/mesh-transformer-jax,https://github.com/kingoflolz/mesh-transformer-jax,Apache-2.0,2021-03-13 23:31:13.000,2023-01-21 00:09:29.000000,2023-01-12 19:54:10,143.0,,842.0,103.0,51.0,42.0,160.0,5903.0,Model parallel transformers in JAX and Haiku.,23.0,16,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +814,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2023-01-03 11:24:22.000000,2023-01-03 11:24:22,166.0,,1028.0,120.0,22.0,6.0,352.0,3995.0,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +815,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,521.0,181.0,110.0,48.0,149.0,3855.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +816,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-06-22 11:47:45.000000,2022-06-21 18:24:09,30.0,,927.0,58.0,12.0,39.0,25.0,3299.0,Implementation and experiments of graph embedding algorithms.,9.0,16,True,,,,,,,,['sklearn'],26.0,26.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +817,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2023-03-24 22:29:09.000000,2019-10-02 23:26:11,132.0,,463.0,82.0,36.0,83.0,68.0,1657.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,16,False,2019-03-13 20:28:15.000,1.0-dev2,1.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +818,Xcessiv,reiinakano/xcessiv,hyperopt,,https://github.com/reiinakano/xcessiv,https://github.com/reiinakano/xcessiv,Apache-2.0,2017-03-07 18:18:25.000,2018-06-06 22:23:37.000000,2017-08-21 00:51:15,316.0,,105.0,56.0,34.0,21.0,13.0,1268.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,20.0,xcessiv,,,,,1.0,1.0,https://pypi.org/project/xcessiv,,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +819,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2023-03-19 22:55:22.000000,2021-03-15 07:00:08,66.0,,111.0,22.0,37.0,19.0,8.0,1018.0,Distributed Computing for AI Made Simple.,5.0,16,False,,,,fiber,,,,,59.0,59.0,https://pypi.org/project/fiber,,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +820,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-01-04 15:04:24.000000,2022-12-30 06:04:33,733.0,,108.0,28.0,108.0,9.0,21.0,930.0,An autoML framework & toolkit for machine learning on graphs.,15.0,16,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +821,XAI,EthicalML/xai,interpretability,,https://github.com/EthicalML/xai,https://github.com/EthicalML/xai,MIT,2019-01-11 20:00:09.000,2021-10-30 06:35:19.000000,2021-10-30 06:30:12,91.0,,138.0,45.0,5.0,2.0,7.0,910.0,XAI - An eXplainability toolbox for machine learning.,3.0,16,False,2021-10-30 06:35:19.000,0.1.0,1.0,xai,,,,,21.0,21.0,https://pypi.org/project/xai,,,224.0,224.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +822,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2023-04-27 20:56:00.000000,2022-06-10 23:04:56,813.0,,180.0,46.0,667.0,11.0,27.0,789.0,Translate - a PyTorch Language Library.,88.0,16,True,,,,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,,,4.0,4.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +823,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2023-04-11 19:24:43.000000,2023-04-11 19:24:38,24.0,1.0,56.0,19.0,7.0,1.0,10.0,784.0,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],55.0,54.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,4719.0,4719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +824,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,98.0,26.0,101.0,37.0,84.0,699.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2019-08-06 09:09:45.000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000,2.0,83.0,89.0,,,,,,,,3.0,372.0,,,,,,,,,,,,,,,,,, +825,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2022-09-13 05:57:13.000000,2022-09-13 05:57:00,608.0,,83.0,24.0,4.0,35.0,42.0,665.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,16,True,2019-05-07 08:47:56.000,0.3.2,3.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,,,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +826,textflint,textflint/textflint,adversarial,,https://github.com/textflint/textflint,https://github.com/textflint/textflint,GPL-3.0,2021-03-06 11:15:52.000,2022-09-27 17:09:16.000000,2022-06-21 04:27:47,257.0,,94.0,18.0,19.0,3.0,29.0,609.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:19.000,0.1.0,5.0,textflint,,,,,8.0,8.0,https://pypi.org/project/textflint,,,227.0,227.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +827,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2022-11-09 16:08:58.000000,2022-11-09 16:08:58,507.0,,98.0,38.0,106.0,11.0,51.0,540.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,70.0,74.0,,,,,,,,3.0,216.0,,,,,,,,,,,vaticle/typedb-ml,,,,,,, +828,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2023-05-01 13:44:04.000000,2020-09-25 16:15:35,254.0,,61.0,22.0,82.0,12.0,13.0,477.0,"Research workflows made easy, locally and in the Cloud.",9.0,16,False,2020-09-12 19:40:54.000,0.4.1,6.0,caliban,,,,,,,https://pypi.org/project/caliban,,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +829,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170.0,,38.0,21.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,False,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,2.0,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +830,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,33.0,23.0,21.0,17.0,10.0,343.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,84.0,77.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,70.0,70.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +831,textpipe,textpipe/textpipe,nlp,,https://github.com/textpipe/textpipe,https://github.com/textpipe/textpipe,MIT,2018-06-21 16:23:32.000,2021-06-09 11:55:53.000000,2021-06-09 11:55:53,371.0,,25.0,22.0,239.0,15.0,25.0,301.0,Textpipe: clean and extract metadata from text.,29.0,16,False,,,,textpipe,,,,,8.0,8.0,https://pypi.org/project/textpipe,,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +832,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2023-03-28 03:38:13.000000,2023-03-28 03:38:13,1094.0,1.0,65.0,28.0,57.0,29.0,32.0,286.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,16,False,2021-05-15 01:39:45.000,0.3.0,9.0,bluefog,,,,['pytorch'],,,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,35.0,38.0,,,,,,,,3.0,127.0,,,,,,,,,,,,,,,,,, +833,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2022-11-01 22:43:32.937000,2021-06-14 10:58:10,162.0,,39.0,19.0,1.0,10.0,5.0,272.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],8.0,8.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000,,277.0,2576.0,https://anaconda.org/conda-forge/deepgraph,2022-11-01 22:43:32.937,158663.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +834,chitra,gradsflow/chitra,ml-experiments,,https://github.com/gradsflow/chitra,https://github.com/gradsflow/chitra,Apache-2.0,2020-01-23 14:17:54.000,2023-04-22 13:39:45.000000,2023-04-22 13:39:45,369.0,2.0,36.0,6.0,130.0,,35.0,216.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,16,False,2021-11-26 17:10:22.000,0.2.0,9.0,chitra,conda-forge/chitra,,,,,,https://pypi.org/project/chitra,,,138.0,275.0,https://anaconda.org/conda-forge/chitra,2022-01-24 02:31:36.059,2195.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +835,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,27.0,4.0,4.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],24.0,24.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,6392.0,6392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +836,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-05-23 10:16:33.000000,2023-03-30 15:02:29,808.0,20.0,15.0,8.0,159.0,10.0,19.0,145.0,Toolkit for developing and maintaining ML models.,14.0,16,False,2023-03-30 10:32:00.874,0.0.28,28.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2023-01-13 09:06:19.213,,460.0,460.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +837,steppy,minerva-ml/steppy,ml-experiments,,https://github.com/minerva-ml/steppy,https://github.com/minerva-ml/steppy,MIT,2018-01-15 09:40:49.000,2018-11-23 09:48:51.000000,2018-11-23 09:47:34,69.0,,32.0,14.0,54.0,13.0,50.0,135.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:48:51.000,0.1.16,16.0,steppy,,,,,50.0,50.0,https://pypi.org/project/steppy,,,25.0,25.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +838,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2022-12-20 03:03:28.000000,2022-11-03 07:32:51,114.0,,947.0,99.0,27.0,15.0,352.0,3452.0,An Open-Source Package for Knowledge Embedding (KE).,11.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +839,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2022-10-23 02:22:52.000000,2020-07-29 05:53:01,8.0,,560.0,141.0,26.0,217.0,102.0,2839.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,5.0,5.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +840,ZhuSuan,thu-ml/zhusuan,probabilistics,,https://github.com/thu-ml/zhusuan,https://github.com/thu-ml/zhusuan,MIT,2016-07-18 13:31:38.000,2022-12-17 20:33:19.000000,2019-08-05 10:00:04,439.0,,412.0,143.0,72.0,8.0,53.0,2181.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +841,automl-gs,minimaxir/automl-gs,hyperopt,,https://github.com/minimaxir/automl-gs,https://github.com/minimaxir/automl-gs,MIT,2019-01-13 18:57:44.000,2019-10-22 11:20:40.000000,2019-04-05 06:48:14,102.0,,165.0,62.0,10.0,26.0,6.0,1811.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,15,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,10.0,10.0,,,,,,,,3.0,39.0,,,,,,,,,,,,,,,,,, +842,Anchor,marcotcr/anchor,interpretability,,https://github.com/marcotcr/anchor,https://github.com/marcotcr/anchor,BSD-2-Clause,2018-02-02 23:38:50.000,2022-07-19 18:09:12.000000,2022-07-19 18:08:39,47.0,,108.0,26.0,10.0,24.0,51.0,757.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,15,True,,,,anchor_exp,,,,,,,https://pypi.org/project/anchor_exp,,,1187.0,1187.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +843,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2023-04-14 10:59:37.000000,2023-04-14 10:59:37,29.0,1.0,74.0,16.0,31.0,3.0,20.0,731.0,Leave One Feature Out Importance.,5.0,15,True,,,,lofo-importance,,,,,25.0,25.0,https://pypi.org/project/lofo-importance,,,1480.0,1480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +844,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,40.0,24.0,4.0,4.0,2.0,657.0,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,15,False,2020-01-06 05:27:17.000,0.1.6,14.0,SpeedTorch,,,,['pytorch'],7.0,5.0,https://pypi.org/project/SpeedTorch,2020-01-06 05:27:17.000,2.0,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +845,KD-Lib,SforAiDl/KD_Lib,others,,https://github.com/SforAiDl/KD_Lib,https://github.com/SforAiDl/KD_Lib,MIT,2020-05-10 13:08:42.000,2023-03-01 21:06:37.000000,2023-03-01 21:03:09,298.0,1.0,47.0,16.0,83.0,18.0,49.0,513.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +846,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2023-03-24 23:54:19.000000,2020-02-19 07:57:17,213.0,,84.0,37.0,47.0,5.0,12.0,401.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +847,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,15.0,39.0,2.0,13.0,388.0,High-level batteries-included neural network training library for Pytorch.,4.0,15,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +848,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2022-09-15 18:52:06.000000,2022-09-15 18:52:06,185.0,,47.0,9.0,13.0,10.0,17.0,351.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,True,2021-02-07 11:06:21.000,2.407,21.0,explainx,,,,,,,https://pypi.org/project/explainx,,,3523.0,3523.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,, +849,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-04-11 13:16:38.000000,2023-04-11 13:16:34,105.0,5.0,30.0,19.0,133.0,18.0,59.0,333.0,A collection of tools for neural compression enthusiasts.,6.0,15,True,2022-01-12 14:55:21.000,0.2.1,3.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2022-01-12 14:55:21.000,,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +850,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,18.0,13.0,271.0,70.0,175.0,293.0,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,,,10065.0,10065.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +851,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203.0,,11.0,6.0,2.0,1.0,5.0,157.0,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,15,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000,2.0,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +852,spacy-dbpedia-spotlight,MartinoMensio/spacy-dbpedia-spotlight,nlp,,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,https://github.com/MartinoMensio/spacy-dbpedia-spotlight,MIT,2020-04-29 19:35:04.000,2023-03-24 11:33:01.000000,2023-03-24 11:32:56,55.0,14.0,11.0,6.0,4.0,5.0,13.0,88.0,A spaCy wrapper for DBpedia Spotlight.,5.0,15,False,2023-03-08 10:33:19.000,0.2.6,6.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,,,739.0,739.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +853,GraphSAGE,williamleif/GraphSAGE,graph,,https://github.com/williamleif/GraphSAGE,https://github.com/williamleif/GraphSAGE,MIT,2017-05-29 15:36:22.000,2022-11-21 22:24:51.000000,2018-09-19 19:27:00,59.0,,807.0,78.0,34.0,116.0,59.0,3048.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +854,ml-ane-transformers,apple/ml-ane-transformers,model-serialisation,,https://github.com/apple/ml-ane-transformers,https://github.com/apple/ml-ane-transformers,,2022-06-03 16:36:06.000,2023-04-25 09:24:38.000000,2022-08-09 04:03:14,5.0,,66.0,42.0,4.0,1.0,,2238.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,14,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,,1932.0,1935.0,,,,,,,,3.0,35.0,,,,,,,,,,,,,,,,,, +855,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2022-11-30 16:03:14.000000,2022-11-02 02:28:59,99.0,,484.0,67.0,25.0,5.0,96.0,1633.0,An Open-Source Package for Network Embedding (NE).,11.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +856,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2022-11-22 12:15:32.000000,2022-04-04 08:29:54,41.0,,294.0,52.0,16.0,42.0,85.0,1201.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +857,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46,15.0,,144.0,31.0,,48.0,59.0,1128.0,GraphVite: A General and High-performance Graph Embedding System.,,14,False,,,4.0,,milagraph/graphvite,,,,,,,,,,102.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972,4591.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +858,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2022-07-19 22:06:41.000000,2021-04-02 03:03:34,211.0,,203.0,39.0,37.0,55.0,34.0,1041.0,Entity Linker solution.,16.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +859,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,115.0,51.0,21.0,15.0,9.0,818.0,A medical imaging framework for Pytorch.,8.0,14,False,2018-11-24 00:33:11.000,0.2,1.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,,,102.0,102.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +860,nboost,koursaros-ai/nboost,nlp,,https://github.com/koursaros-ai/nboost,https://github.com/koursaros-ai/nboost,Apache-2.0,2019-10-29 20:56:24.000,2020-09-30 14:51:16.000000,2020-07-16 19:48:25,1336.0,,64.0,19.0,21.0,29.0,50.0,657.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,14,False,,,,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,,,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +861,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,87.0,21.0,18.0,22.0,2.0,481.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,14,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,9.0,9.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +862,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2023-05-08 14:22:49.000000,2023-05-08 14:22:46,70.0,2.0,54.0,17.0,56.0,7.0,9.0,424.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,14,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,6.0,6.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +863,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2022-01-07 11:24:14.000000,2018-08-29 15:31:30,15.0,,56.0,19.0,6.0,6.0,,379.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,8.0,7.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,25.0,171.0,https://anaconda.org/conda-forge/artificial-adversary,2021-04-30 19:05:10.636,4967.0,,,,,3.0,,,,,,,,,,,,,,,,,,, +864,ptgnn,microsoft/ptgnn,graph,,https://github.com/microsoft/ptgnn,https://github.com/microsoft/ptgnn,MIT,2020-05-12 08:42:30.000,2022-02-01 17:31:29.000000,2022-02-01 17:31:29,99.0,,40.0,12.0,17.0,2.0,5.0,367.0,A PyTorch Graph Neural Network Library.,7.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,105.0,105.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +865,tsaug,arundo/tsaug,time-series-data,,https://github.com/arundo/tsaug,https://github.com/arundo/tsaug,Apache-2.0,2019-09-27 00:38:05.000,2023-01-11 11:16:16.000000,2020-04-17 02:46:38,10.0,,35.0,11.0,8.0,8.0,3.0,300.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1142.0,1142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +866,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,13.0,11.0,6.0,8.0,6.0,287.0,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],23.0,23.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +867,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-01-06 14:17:43.000000,2020-12-16 17:41:37,312.0,,32.0,8.0,71.0,31.0,8.0,224.0,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,14,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,59.0,59.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +868,Torch Points 3D,nicolas-chaulet/torch-points3d,image,,https://github.com/nicolas-chaulet/torch-points3d,https://github.com/nicolas-chaulet/torch-points3d,BSD-3-Clause,2022-01-09 14:41:37.000,2021-12-10 20:17:18.000000,2021-12-10 20:17:18,1788.0,,34.0,,,,,144.0,Pytorch framework for doing deep learning on point clouds.,29.0,14,False,,,,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,,,830.0,830.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +869,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2023-02-28 01:21:32.000000,2023-02-24 00:50:55,299.0,,9.0,5.0,3.0,,,123.0,Data Analysis Baseline Library.,23.0,14,False,,,,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,,,9942.0,9942.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +870,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32,53.0,,475.0,113.0,11.0,39.0,8.0,2625.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +871,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2022-06-30 14:08:50.000000,2022-06-30 14:05:23,118.0,,168.0,38.0,9.0,13.0,3.0,1282.0,A web app to generate template code for machine learning.,3.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +872,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-02-20 18:14:30.000000,2023-02-20 18:14:30,61.0,,35.0,10.0,7.0,1.0,11.0,588.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,67.0,67.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +873,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2023-01-06 03:52:07.000000,2021-12-06 17:38:41,146.0,,65.0,20.0,167.0,87.0,17.0,366.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,13,False,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +874,TransferNLP,feedly/transfer-nlp,nlp,,https://github.com/feedly/transfer-nlp,https://github.com/feedly/transfer-nlp,MIT,2019-03-12 20:00:31.000,2020-05-28 17:32:42.000000,2020-05-28 17:31:53,465.0,,19.0,12.0,57.0,3.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 17:32:42.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,,,45.0,45.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +875,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,12.0,15.0,14.0,5.0,4.0,239.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,13,False,2021-04-20 13:53:12.000,0.1.2,14.0,backprop,,,,,1.0,1.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +876,ONNX-T5,abelriboulot/onnxt5,nlp,,https://github.com/abelriboulot/onnxt5,https://github.com/abelriboulot/onnxt5,Apache-2.0,2020-08-01 09:38:35.000,2022-11-02 18:43:57.000000,2021-01-28 09:24:52,74.0,,28.0,8.0,6.0,7.0,8.0,227.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,13,False,2021-01-28 09:24:24.000,0.1.9,9.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +877,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2022-01-08 12:10:11.000000,2020-06-02 21:10:26,51.0,,25.0,11.0,14.0,6.0,4.0,214.0,Draw interactive NetworkX graphs with Altair.,3.0,13,False,,,,nx-altair,,,,['jupyter'],,,https://pypi.org/project/nx-altair,,,1208.0,1208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +878,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-01-22 01:25:48.000000,2023-01-22 01:25:39,75.0,,17.0,5.0,2.0,15.0,23.0,178.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,13,False,,,,hugsvision,,,,['huggingface'],10.0,10.0,https://pypi.org/project/hugsvision,,,701.0,701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +879,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-05-25 13:16:02.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1134.0,4.0,10.0,123.0,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,42.0,54.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,,,,,,,,,,,,,,,,,, +880,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-05-11 16:14:18.000000,2023-05-11 16:14:18,270.0,6.0,6.0,7.0,112.0,4.0,5.0,71.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2022-12-28 21:17:17.000,0.2.4,6.0,,,,,['jax'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +881,pandas-profiling,ydataai/pandas-profiling,data-viz,,,{},,2016-08-29 23:29:52.374,2023-01-25 18:19:12.193000,,,,,,,,,,Generate profile report for pandas DataFrame.,110.0,13,False,,,28.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",492.0,492.0,https://pypi.org/project/pandas-profiling,,,974081.0,978620.0,https://anaconda.org/conda-forge/pandas-profiling,2023-01-25 18:19:12.193,367679.0,,,,,3.0,,-13.0,,,,,,,,,,,,,,,,, +882,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2023-03-14 16:25:22.000000,2022-02-09 22:20:11,9.0,,416.0,96.0,17.0,48.0,15.0,3242.0,AutoML algorithms for model architecture search at scale.,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +883,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2022-06-21 22:20:52.000000,2020-08-27 13:37:26,26.0,,393.0,63.0,5.0,62.0,17.0,1623.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +884,surpriver,tradytics/surpriver,financial-data,,https://github.com/tradytics/surpriver,https://github.com/tradytics/surpriver,GPL-3.0,2020-08-30 07:56:22.000,2021-08-13 08:02:31.000000,2020-09-21 04:32:05,64.0,,296.0,85.0,11.0,10.0,6.0,1591.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +885,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2022-03-01 16:13:48.000000,2022-03-01 16:13:48,42.0,,48.0,16.0,2.0,2.0,1.0,493.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +886,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,24.0,22.0,44.0,1.0,5.0,196.0,An automatic ML model optimization tool.,11.0,12,False,2021-03-03 02:00:23.000,2.0,7.0,auptimizer,,,,,,,https://pypi.org/project/auptimizer,2021-03-02 02:40:32.000,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +887,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2022-07-05 09:43:14.000000,2022-07-05 09:43:05,72.0,,25.0,8.0,15.0,4.0,6.0,188.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,12,False,2019-09-12 07:41:04.000,2.0,4.0,textvec,,,,['sklearn'],4.0,4.0,https://pypi.org/project/textvec,2020-12-03 14:17:09.000,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +888,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46,207.0,,12.0,13.0,5.0,3.0,2.0,108.0,"Better, faster hyper-parameter optimization.",9.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +889,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2022-06-22 02:09:01.000000,2021-11-11 10:53:33,630.0,,10.0,14.0,22.0,4.0,13.0,84.0,"Contextual AI adds explainability to different stages of machine learning pipelines - data, training, and inference -..",12.0,12,False,2021-01-25 04:56:57.000,0.0.2,2.0,contextual-ai,,,,,,,https://pypi.org/project/contextual-ai,2021-01-25 04:56:57.000,,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +890,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58,116.0,,113.0,46.0,12.0,7.0,20.0,951.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +891,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,145.0,40.0,7.0,15.0,14.0,910.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +892,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-01-20 01:26:45.000000,2022-11-21 12:12:41,1044.0,,9.0,6.0,25.0,1.0,2.0,236.0,Maze Applied Reinforcement Learning Framework.,3.0,11,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],2.0,2.0,https://pypi.org/project/maze-rl,2022-11-21 12:23:00.858,,26.0,34.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,239.0,3.0,,,,,,,,,,,,,,,,,,, +893,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,17.0,7.0,2.0,13.0,230.0,Easy training and deployment of seq2seq models.,2.0,11,False,,,,headliner,,,,,4.0,4.0,https://pypi.org/project/headliner,,,178.0,178.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +894,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2022-03-16 13:45:37.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,1.0,7.0,6.0,30.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,11,False,2021-12-23 15:53:08.000,1.2.0,3.0,nptsne,,,,,6.0,6.0,https://pypi.org/project/nptsne,2021-12-23 15:53:08.000,,15.0,15.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +895,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2023-01-15 22:50:39.000000,2023-01-13 21:57:34,832.0,,,,,,,,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,11,True,,,,sklearn-evaluation,,,,['sklearn'],,,https://pypi.org/project/sklearn-evaluation,,,116458.0,116458.0,,,,,,,,3.0,,-9.0,,,,,,,,,,,,,,,,, +896,Mozart,aashrafh/Mozart,ocr,,https://github.com/aashrafh/Mozart,https://github.com/aashrafh/Mozart,Apache-2.0,2020-12-14 11:49:14.000,2022-08-24 18:18:43.000000,2022-08-24 18:18:43,62.0,,68.0,17.0,5.0,2.0,11.0,471.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +897,moolib,facebookresearch/moolib,distributed-ml,,https://github.com/facebookresearch/moolib,https://github.com/facebookresearch/moolib,MIT,2021-08-26 09:15:58.000,2022-12-12 15:07:44.000000,2022-12-12 15:07:38,41.0,,19.0,12.0,41.0,7.0,12.0,358.0,A library for distributed ML training with PyTorch.,6.0,10,True,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +898,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,24.0,16.0,51.0,11.0,1.0,128.0,Simple Distributed Deep Learning on TensorFlow.,11.0,10,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +899,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,114.0,Tools for training explainable models using attribution priors.,6.0,10,False,2021-03-16 17:47:18.000,1.0.0,1.0,attributionpriors,,,,"['tensorflow', 'pytorch']",3.0,3.0,https://pypi.org/project/attributionpriors,,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +900,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,34.0,14.0,18.0,27.0,16.0,114.0,A deep learning python package for neuroimaging data. Made by:.,6.0,10,False,,,,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,,,19.0,19.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +901,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,11.0,7.0,20.0,3.0,,44.0,Distributed machine learning made simple.,2.0,10,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,,,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +902,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2022-09-29 08:50:58.000000,2022-09-29 08:50:40,122.0,,12.0,12.0,15.0,,,41.0,,4.0,10,False,2021-04-22 15:15:27.000,0.0.12,10.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,,,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +903,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2022-04-12 19:34:04.000000,2022-03-31 17:27:57,13.0,,40.0,12.0,8.0,6.0,9.0,409.0,Library for Textless Spoken Language Processing.,4.0,9,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +904,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10.0,10.0,44.0,,2.0,137.0,A toolset for black-box hyperparameter optimisation.,2.0,9,False,2020-01-26 23:08:16.000,1.0.1,7.0,hypertunity,,,,,2.0,2.0,https://pypi.org/project/hypertunity,2020-01-26 23:08:16.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +905,nylon,Palashio/nylon,others,,https://github.com/Palashio/nylon,https://github.com/Palashio/nylon,MIT,2021-06-04 17:33:49.000,2021-07-29 20:34:04.000000,2021-07-23 19:37:10,185.0,,8.0,6.0,4.0,13.0,18.0,81.0,"An intelligent, flexible grammar of machine learning.",3.0,9,False,,,,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,,,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +906,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,24.0,7.0,2.0,2.0,6.0,130.0,Python package to generate stock portfolios.,4.0,8,False,2020-03-13 20:04:08.000,0.2,3.0,pyrtfolio,,,,,,,https://pypi.org/project/pyrtfolio,2020-03-13 20:31:47.000,,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +907,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,2.0,4.0,,,,49.0,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,,15.0,15.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,, +908,traintool,jrieke/traintool,ml-experiments,,https://github.com/jrieke/traintool,https://github.com/jrieke/traintool,Apache-2.0,2020-09-30 22:23:05.000,2021-03-12 01:44:04.000000,2021-03-12 01:43:14,122.0,,1.0,4.0,,,,11.0,Train off-the-shelf machine learning models in one line of code.,,8,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 5f4edef6..00d36faf 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,35 +2,29 @@ _Projects that have a higher project-quality score compared to the last update. There might be a variety of reasons, such as increased downloads or code activity._ -- Bokeh (πŸ₯‡43 Β· ⭐ 18K Β· πŸ“ˆ) - Interactive Data Visualization in the browser, from Python. BSD-3 -- torchvision (πŸ₯‡42 Β· ⭐ 14K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- Plotly (πŸ₯‡42 Β· ⭐ 13K Β· πŸ“ˆ) - The interactive graphing library for Python This project now includes.. MIT -- PyQtGraph (πŸ₯ˆ36 Β· ⭐ 3.2K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- HoloViews (πŸ₯ˆ35 Β· ⭐ 2.4K Β· πŸ“ˆ) - With Holoviews, your data visualizes itself. BSD-3 -- opencv-python (πŸ₯ˆ33 Β· ⭐ 3.5K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- huggingface_hub (πŸ₯ˆ33 Β· ⭐ 890 Β· πŸ“ˆ) - All the open source things related to the Hugging Face.. Apache-2 -- Tesseract (πŸ₯ˆ32 Β· ⭐ 4.8K Β· πŸ“ˆ) - Python-tesseract is an optical character recognition (OCR).. Apache-2 -- pythreejs (πŸ₯‰29 Β· ⭐ 870 Β· πŸ“ˆ) - A Jupyter - Three.js bridge. BSD-3 -- langid (πŸ₯ˆ27 Β· ⭐ 2.1K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- PyTorch (πŸ₯‡51 Β· ⭐ 67K Β· πŸ“ˆ) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 +- Keras (πŸ₯‡46 Β· ⭐ 58K Β· πŸ“ˆ) - Deep Learning for humans. Apache-2 +- pytorch-lightning (πŸ₯ˆ42 Β· ⭐ 23K Β· πŸ“ˆ) - Deep learning framework to train, deploy, and ship AI.. Apache-2 +- Gradio (πŸ₯‡42 Β· ⭐ 18K Β· πŸ“ˆ) - Wrap UIs around any model, share with anyone. Apache-2 +- glfw (πŸ₯‡35 Β· ⭐ 11K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- Neural Network Libraries (πŸ₯‰30 Β· ⭐ 2.6K Β· πŸ“ˆ) - Neural Network Libraries. Apache-2 +- Geomstats (πŸ₯‰30 Β· ⭐ 940 Β· πŸ“ˆ) - Computations and statistics on manifolds with geometric structures. MIT +- Snips NLU (πŸ₯‰26 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 +- eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT +- graph-nets (πŸ₯‰21 Β· ⭐ 5.3K Β· πŸ“ˆ) - Build Graph Nets in Tensorflow. Apache-2 ## πŸ“‰ Trending Down _Projects that have a lower project-quality score compared to the last update. There might be a variety of reasons such as decreased downloads or code activity._ -- SymPy (πŸ₯‡44 Β· ⭐ 11K Β· πŸ“‰) - A computer algebra system written in pure Python. ❗Unlicensed -- Gradio (πŸ₯‡39 Β· ⭐ 18K Β· πŸ“‰) - Wrap UIs around any model, share with anyone. Apache-2 -- PySpark (πŸ₯ˆ38 Β· ⭐ 36K Β· πŸ“‰) - Apache Spark Python API. Apache-2 -- glfw (πŸ₯ˆ31 Β· ⭐ 11K Β· πŸ“‰) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- CuPy (πŸ₯‰25 Β· ⭐ 6.9K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT -- Lasagne (πŸ₯‰25 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in.. ❗Unlicensed -- eli5 (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT -- graph-nets (πŸ₯‰18 Β· ⭐ 5.3K Β· πŸ“‰) - Build Graph Nets in Tensorflow. Apache-2 -- DeepMatcher (πŸ₯‰18 Β· ⭐ 490 Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 -- Headliner (πŸ₯‰10 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed - -## βž• Added Projects - -_Projects that were recently added to this best-of list._ - -- pandas-ai (πŸ₯‰22 Β· ⭐ 6.1K Β· 🐣) - Pandas AI is a Python library that integrates generative.. MIT +- torchvision (πŸ₯‡36 Β· ⭐ 14K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- librosa (πŸ₯‰27 Β· ⭐ 5.9K Β· πŸ“‰) - Python library for audio and music analysis. ISC +- Tesseract (πŸ₯‰27 Β· ⭐ 4.8K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +- geopy (πŸ₯‰27 Β· ⭐ 4K Β· πŸ“‰) - Geocoding library for Python. MIT +- kaggle (πŸ₯‰23 Β· ⭐ 5.3K Β· πŸ“‰) - Official Kaggle API. Apache-2 +- EfficientNet-PyTorch (πŸ₯‰22 Β· ⭐ 7.4K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- vega (πŸ₯‰20 Β· ⭐ 350 Β· πŸ“‰) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 +- whoosh (πŸ₯‰17 Β· ⭐ 410 Β· πŸ’€) - Pure-Python full-text search library. ❗Unlicensed +- pandas-profiling (πŸ₯‰13 Β· πŸ“‰) - Generate profile report for pandas DataFrame. ❗Unlicensed +- sklearn-evaluation (πŸ₯‰11 Β· 🐣) - Machine learning model evaluation made easy: plots, tables,.. MIT