From 252e89497aabcbdf3ff625aa6329da8e97e2ed2e Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 19 Oct 2023 15:48:27 +0000 Subject: [PATCH] Update best-of list for version 2023.10.19 --- README.md | 3439 ++++++++++++++++--------------- history/2023-10-19_changes.md | 30 + history/2023-10-19_projects.csv | 917 ++++++++ latest-changes.md | 40 +- 4 files changed, 2705 insertions(+), 1721 deletions(-) create mode 100644 history/2023-10-19_changes.md create mode 100644 history/2023-10-19_projects.csv diff --git a/README.md b/README.md index 27b7fcbd..9139aef3 100644 --- a/README.md +++ b/README.md @@ -54,7 +54,7 @@ This curated list contains 920 awesome open-source projects with a total of 4.1M - [Privacy Machine Learning](#privacy-machine-learning) _7 projects_ - [Workflow & Experiment Tracking](#workflow--experiment-tracking) _40 projects_ - [Model Serialization & Deployment](#model-serialization--deployment) _20 projects_ -- [Model Interpretability](#model-interpretability) _54 projects_ +- [Model Interpretability](#model-interpretability) _53 projects_ - [Vector Similarity Search (ANN)](#vector-similarity-search-ann) _13 projects_ - [Probabilistics & Statistics](#probabilistics--statistics) _23 projects_ - [Adversarial Robustness](#adversarial-robustness) _9 projects_ @@ -101,7 +101,7 @@ _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’» 4.5K Β· πŸ”€ 89K Β· πŸ“¦ 310K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 89K Β· πŸ“¦ 310K Β· πŸ“‹ 38K - 5% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/tensorflow/tensorflow @@ -114,19 +114,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 75M Β· ⭐ 2.2K Β· ⏱️ 12.10.2023): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 75M Β· ⭐ 2.2K Β· ⏱️ 19.10.2023): ``` docker pull tensorflow/tensorflow ```
PyTorch (πŸ₯‡53 Β· ⭐ 72K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 19K Β· πŸ“₯ 25K Β· πŸ“¦ 330K Β· πŸ“‹ 37K - 33% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.4K Β· πŸ”€ 19K Β· πŸ“₯ 26K Β· πŸ“¦ 330K Β· πŸ“‹ 38K - 33% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 12M / month Β· πŸ“¦ 11K Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/torch) (πŸ“₯ 13M / month Β· πŸ“¦ 11K Β· ⏱️ 04.10.2023): ``` pip install torch ``` @@ -137,12 +137,12 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (πŸ₯‡52 Β· ⭐ 56K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 25K Β· πŸ“₯ 900 Β· πŸ“¦ 610K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 25K Β· πŸ“₯ 910 Β· πŸ“¦ 620K Β· πŸ“‹ 11K - 20% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 42M / month Β· πŸ“¦ 30K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 43M / month Β· πŸ“¦ 30K Β· ⏱️ 21.09.2023): ``` pip install scikit-learn ``` @@ -153,12 +153,12 @@ _General-purpose machine learning and deep learning frameworks._
Keras (πŸ₯‡46 Β· ⭐ 60K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 19K Β· πŸ“¦ 18 Β· πŸ“‹ 12K - 3% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 19K Β· πŸ“¦ 19 Β· πŸ“‹ 12K - 3% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 13M / month Β· πŸ“¦ 640 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/keras) (πŸ“₯ 13M / month Β· πŸ“¦ 650 Β· ⏱️ 13.10.2023): ``` pip install keras ``` @@ -169,12 +169,12 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (πŸ₯‡45 Β· ⭐ 37K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 28K Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3K Β· πŸ”€ 28K Β· ⏱️ 19.10.2023): ``` git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 25M / month Β· πŸ“¦ 1.2K Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/pyspark) (πŸ“₯ 26M / month Β· πŸ“¦ 1.2K Β· ⏱️ 26.09.2023): ``` pip install pyspark ``` @@ -185,39 +185,39 @@ _General-purpose machine learning and deep learning frameworks._
jax (πŸ₯‡45 Β· ⭐ 25K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 580 Β· πŸ”€ 2.3K Β· πŸ“¦ 18K Β· πŸ“‹ 4.9K - 31% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 2.3K Β· πŸ“¦ 18K Β· πŸ“‹ 4.9K - 31% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 3.5M / month Β· πŸ“¦ 700 Β· ⏱️ 07.10.2023): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 3.7M / month Β· πŸ“¦ 700 Β· ⏱️ 07.10.2023): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 950K Β· ⏱️ 12.10.2023): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 960K Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge jaxlib ```
pytorch-lightning (πŸ₯‡45 Β· ⭐ 25K) - Deep learning framework to train, deploy, and ship AI.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 3K Β· πŸ“₯ 13K Β· πŸ“¦ 25K Β· πŸ“‹ 6.5K - 9% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/Lightning-AI/lightning) (πŸ‘¨β€πŸ’» 910 Β· πŸ”€ 3K Β· πŸ“₯ 13K Β· πŸ“¦ 25K Β· πŸ“‹ 6.6K - 10% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 3.9M / month): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 3.9M / month Β· πŸ“¦ 710 Β· ⏱️ 12.10.2023): ``` pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 970K Β· ⏱️ 15.09.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 980K Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge pytorch-lightning ```
PaddlePaddle (πŸ₯‡45 Β· ⭐ 21K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.3K Β· πŸ“₯ 15K Β· πŸ“¦ 4.1K Β· πŸ“‹ 18K - 11% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.1K Β· πŸ”€ 5.3K Β· πŸ“₯ 15K Β· πŸ“¦ 4.1K Β· πŸ“‹ 18K - 11% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/PaddlePaddle/Paddle @@ -229,7 +229,7 @@ _General-purpose machine learning and deep learning frameworks._
XGBoost (πŸ₯ˆ44 Β· ⭐ 25K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 620 Β· πŸ”€ 8.6K Β· πŸ“₯ 7.3K Β· πŸ“¦ 69K Β· πŸ“‹ 5K - 7% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 630 Β· πŸ”€ 8.6K Β· πŸ“₯ 7.3K Β· πŸ“¦ 69K Β· πŸ“‹ 5K - 7% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/dmlc/xgboost @@ -245,7 +245,7 @@ _General-purpose machine learning and deep learning frameworks._
StatsModels (πŸ₯ˆ44 Β· ⭐ 8.9K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.8K Β· πŸ“₯ 29 Β· πŸ“¦ 100K Β· πŸ“‹ 5.4K - 49% open Β· ⏱️ 01.09.2023): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.8K Β· πŸ“₯ 29 Β· πŸ“¦ 100K Β· πŸ“‹ 5.4K - 49% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/statsmodels/statsmodels @@ -261,99 +261,115 @@ _General-purpose machine learning and deep learning frameworks._
LightGBM (πŸ₯ˆ43 Β· ⭐ 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.6K Β· πŸ“₯ 200K Β· πŸ“¦ 26K Β· πŸ“‹ 3.1K - 9% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3.8K Β· πŸ“₯ 200K Β· πŸ“¦ 26K Β· πŸ“‹ 3.2K - 10% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 6.9M / month): +- [PyPi](https://pypi.org/project/lightgbm) (πŸ“₯ 7M / month Β· πŸ“¦ 810 Β· ⏱️ 12.09.2023): ``` pip install lightgbm ``` -- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 2M Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/lightgbm) (πŸ“₯ 2.1M Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge lightgbm ```
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Jina (πŸ₯ˆ40 Β· ⭐ 19K) - Build multimodal AI applications with cloud-native stack. Apache-2 +
Catboost (πŸ₯ˆ41 Β· ⭐ 7.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 190K Β· πŸ“¦ 11 Β· πŸ“‹ 2.1K - 24% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/jina-ai/jina - ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 79K / month): - ``` - pip install jina + git clone https://github.com/catboost/catboost ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 56K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.1M / month Β· πŸ“¦ 340 Β· ⏱️ 19.09.2023): ``` - conda install -c conda-forge jina-core + pip install catboost ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.4M Β· ⏱️ 19.09.2023): ``` - docker pull jinaai/jina + conda install -c conda-forge catboost ```
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Catboost (πŸ₯ˆ39 Β· ⭐ 7.4K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 +
Fastai (πŸ₯ˆ40 Β· ⭐ 25K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 180K Β· πŸ“¦ 11 Β· πŸ“‹ 2.1K - 23% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 7.5K Β· πŸ“¦ 15K Β· πŸ“‹ 1.8K - 10% open Β· ⏱️ 15.10.2023): ``` - git clone https://github.com/catboost/catboost - ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2M / month): - ``` - pip install catboost + git clone https://github.com/fastai/fastai ``` -- [Conda](https://anaconda.org/conda-forge/catboost) (πŸ“₯ 1.4M Β· ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 330K / month Β· πŸ“¦ 340 Β· ⏱️ 15.10.2023): ``` - conda install -c conda-forge catboost + pip install fastai ```
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Fastai (πŸ₯ˆ38 Β· ⭐ 25K) - The fastai deep learning library. Apache-2 +
Jina (πŸ₯ˆ40 Β· ⭐ 19K) - Build multimodal AI applications with cloud-native stack. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 7.2K Β· πŸ“¦ 15K Β· πŸ“‹ 1.8K - 9% open Β· ⏱️ 18.09.2023): +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.2K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 18.10.2023): ``` - git clone https://github.com/fastai/fastai + git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 290K / month): +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 82K / month Β· πŸ“¦ 15 Β· ⏱️ 06.10.2023): ``` - pip install fastai + pip install jina + ``` +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 56K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge jina-core + ``` +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (πŸ“₯ 1.3M Β· ⭐ 8 Β· ⏱️ 18.10.2023): + ``` + docker pull jinaai/jina ```
MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 -- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.5K Β· πŸ“₯ 26K Β· πŸ“¦ 6.8K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): +- [GitHub](https://github.com/apache/mxnet) (πŸ‘¨β€πŸ’» 980 Β· πŸ”€ 6.9K Β· πŸ“₯ 26K Β· πŸ“¦ 6.8K Β· πŸ“‹ 9.6K - 18% open Β· ⏱️ 26.01.2023): ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 340K / month): +- [PyPi](https://pypi.org/project/mxnet) (πŸ“₯ 340K / month Β· πŸ“¦ 290 Β· ⏱️ 17.05.2022): ``` pip install mxnet ``` -- [Conda](https://anaconda.org/anaconda/mxnet) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/anaconda/mxnet) (πŸ“₯ 10K Β· πŸ“¦ 5 Β· ⏱️ 16.06.2023): ``` conda install -c anaconda mxnet ```
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PyFlink (πŸ₯ˆ37 Β· ⭐ 22K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 +
Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 + +- [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“₯ 380K / month Β· πŸ“¦ 2.8K Β· ⏱️ 27.07.2020): + ``` + pip install theano + ``` +- [Conda](https://anaconda.org/conda-forge/theano) (πŸ“₯ 2.4M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge theano + ``` +
+
PyFlink (πŸ₯ˆ37 Β· ⭐ 22K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 18 Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.8K Β· πŸ”€ 12K Β· πŸ“¦ 19 Β· ⏱️ 19.10.2023): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 160K / month Β· πŸ“¦ 22 Β· ⏱️ 27.09.2022): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 140K / month Β· πŸ“¦ 22 Β· ⏱️ 27.09.2022): ``` pip install apache-flink ```
ivy (πŸ₯ˆ37 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 6K Β· πŸ“‹ 17K - 21% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.4K Β· πŸ”€ 6K Β· πŸ“‹ 17K - 21% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/unifyai/ivy @@ -365,7 +381,7 @@ _General-purpose machine learning and deep learning frameworks._
Flax (πŸ₯ˆ37 Β· ⭐ 4.8K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 540 Β· πŸ“₯ 49 Β· πŸ“¦ 4.5K Β· πŸ“‹ 820 - 21% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 540 Β· πŸ“₯ 49 Β· πŸ“¦ 4.6K Β· πŸ“‹ 830 - 21% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/google/flax @@ -374,19 +390,35 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 35K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 36K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge flax ```
+
Ignite (πŸ₯ˆ36 Β· ⭐ 4.4K) - High-level library to help with training and evaluating neural.. BSD-3 + +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 600 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.3K - 12% open Β· ⏱️ 19.10.2023): + + ``` + git clone https://github.com/pytorch/ignite + ``` +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 150K / month Β· πŸ“¦ 43 Β· ⏱️ 19.10.2023): + ``` + pip install pytorch-ignite + ``` +- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 160K Β· ⏱️ 19.10.2023): + ``` + conda install -c pytorch ignite + ``` +
Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 280 Β· πŸ“¦ 38K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 280 Β· πŸ“¦ 38K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 22.09.2023): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 5.7M / month Β· πŸ“¦ 640 Β· ⏱️ 22.09.2023): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 6M / month Β· πŸ“¦ 640 Β· ⏱️ 22.09.2023): ``` pip install thinc ``` @@ -397,12 +429,12 @@ _General-purpose machine learning and deep learning frameworks._
Vowpal Wabbit (πŸ₯ˆ35 Β· ⭐ 8.3K) - 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”€ 2K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 2K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 94K / month Β· πŸ“¦ 33 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 120K / month Β· πŸ“¦ 34 Β· ⏱️ 19.07.2023): ``` pip install vowpalwabbit ``` @@ -413,44 +445,28 @@ _General-purpose machine learning and deep learning frameworks._
einops (πŸ₯ˆ35 Β· ⭐ 7.3K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 310 Β· πŸ“¦ 18K Β· πŸ“‹ 150 - 17% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 310 Β· πŸ“¦ 19K Β· πŸ“‹ 150 - 19% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.3M / month): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 4.3M / month Β· πŸ“¦ 680 Β· ⏱️ 01.10.2023): ``` pip install einops ``` -- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 150K Β· ⏱️ 01.10.2023): +- [Conda](https://anaconda.org/conda-forge/einops) (πŸ“₯ 160K Β· ⏱️ 01.10.2023): ``` conda install -c conda-forge einops ```
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Ignite (πŸ₯ˆ35 Β· ⭐ 4.3K) - High-level library to help with training and evaluating neural.. BSD-3 +
Ludwig (πŸ₯ˆ34 Β· ⭐ 10K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 600 Β· πŸ“¦ 2.4K Β· πŸ“‹ 1.3K - 12% open Β· ⏱️ 12.10.2023): - - ``` - git clone https://github.com/pytorch/ignite - ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 160K / month Β· πŸ“¦ 43 Β· ⏱️ 12.10.2023): - ``` - pip install pytorch-ignite - ``` -- [Conda](https://anaconda.org/pytorch/ignite) (πŸ“₯ 160K Β· ⏱️ 16.06.2023): - ``` - conda install -c pytorch ignite - ``` -
-
Ludwig (πŸ₯ˆ34 Β· ⭐ 9.9K) - Low-code framework for building custom LLMs, neural networks,.. Apache-2 - -- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 200 Β· πŸ“‹ 1.1K - 31% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/ludwig-ai/ludwig) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.1K Β· πŸ“¦ 200 Β· πŸ“‹ 1.1K - 31% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 6.7K / month Β· πŸ“¦ 9 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 6.6K / month Β· πŸ“¦ 9 Β· ⏱️ 13.10.2023): ``` pip install ludwig ``` @@ -487,14 +503,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge tensorpack ```
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skorch (πŸ₯‰32 Β· ⭐ 5.3K) - A scikit-learn compatible neural network library that wraps.. BSD-3 +
skorch (πŸ₯‰32 Β· ⭐ 5.4K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 350 Β· πŸ“¦ 960 Β· πŸ“‹ 490 - 9% open Β· ⏱️ 07.09.2023): +- [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“¦ 970 Β· πŸ“‹ 490 - 9% open Β· ⏱️ 07.09.2023): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 70K / month): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 67K / month Β· πŸ“¦ 48 Β· ⏱️ 04.09.2023): ``` pip install skorch ``` @@ -503,54 +519,58 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge skorch ```
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Haiku (πŸ₯‰32 Β· ⭐ 2.6K) - JAX-based neural network library. Apache-2 +
mlpack (πŸ₯‰32 Β· ⭐ 4.6K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 220 Β· πŸ“¦ 1.5K Β· πŸ“‹ 240 - 28% open Β· ⏱️ 15.09.2023): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“‹ 1.6K - 1% open Β· ⏱️ 14.10.2023): ``` - git clone https://github.com/deepmind/dm-haiku + git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 270K / month): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 2.9K / month Β· πŸ“¦ 1 Β· ⏱️ 07.09.2023): ``` - pip install dm-haiku + pip install mlpack ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 13K Β· ⏱️ 14.07.2023): +- [Conda](https://anaconda.org/conda-forge/mlpack) (πŸ“₯ 160K Β· ⏱️ 17.06.2023): ``` - conda install -c conda-forge dm-haiku + conda install -c conda-forge mlpack ```
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tensorflow-upstream (πŸ₯‰32 Β· ⭐ 660) - TensorFlow ROCm port. Apache-2 +
Haiku (πŸ₯‰32 Β· ⭐ 2.6K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 79 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 220 Β· πŸ“¦ 1.5K Β· πŸ“‹ 280 - 38% open Β· ⏱️ 15.09.2023): ``` - git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 3.5K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 250K / month Β· πŸ“¦ 67 Β· ⏱️ 14.07.2023): ``` - pip install tensorflow-rocm + pip install dm-haiku + ``` +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (πŸ“₯ 13K Β· ⏱️ 14.07.2023): + ``` + conda install -c conda-forge dm-haiku ```
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EvaDB (πŸ₯‰31 Β· ⭐ 2.4K) - Database system for AI-powered apps. Apache-2 +
EvaDB (πŸ₯‰32 Β· ⭐ 2.4K) - Database system for AI-powered apps. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 200 Β· πŸ“₯ 410K Β· πŸ“¦ 39 Β· πŸ“‹ 260 - 24% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 210 Β· πŸ“₯ 410K Β· πŸ“¦ 71 Β· πŸ“‹ 270 - 23% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 1.4K / month): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 1.9K / month Β· ⏱️ 18.10.2023): ``` pip install evadb ```
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Sonnet (πŸ₯‰30 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/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.2K Β· πŸ“‹ 190 - 16% open Β· ⏱️ 21.07.2023): +- [GitHub](https://github.com/google-deepmind/sonnet) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 1.4K Β· πŸ“¦ 1.2K Β· πŸ“‹ 190 - 17% open Β· ⏱️ 21.07.2023): ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 15K / month): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 15K / month Β· πŸ“¦ 52 Β· ⏱️ 27.03.2020): ``` pip install dm-sonnet ``` @@ -559,73 +579,85 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
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ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 +
tensorflow-upstream (πŸ₯‰31 Β· ⭐ 660) - TensorFlow ROCm port. Apache-2 -- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 460 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 05.09.2023): +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.5K Β· πŸ”€ 79 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 25% open Β· ⏱️ 13.10.2023): ``` - git clone https://github.com/amaiya/ktrain + git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 20K / month Β· πŸ“¦ 3 Β· ⏱️ 05.09.2023): +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 3.6K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): ``` - pip install ktrain + pip install tensorflow-rocm ```
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Determined (πŸ₯‰29 Β· ⭐ 2.5K) - Determined is a deep-learning platform that simplifies.. Apache-2 +
Determined (πŸ₯‰30 Β· ⭐ 2.5K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 7.3K Β· πŸ“‹ 340 - 11% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 310 Β· πŸ“₯ 7.4K Β· πŸ“‹ 430 - 29% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/determined-ai/determined ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 16K / month): +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 16K / month Β· πŸ“¦ 4 Β· ⏱️ 18.10.2023): ``` pip install determined ```
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Geomstats (πŸ₯‰29 Β· ⭐ 1K) - Computations and statistics on manifolds with geometric structures. MIT +
ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 210 Β· πŸ“¦ 82 Β· πŸ“‹ 500 - 33% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 460 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 05.09.2023): ``` - git clone https://github.com/geomstats/geomstats - ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 1.7K / month): - ``` - pip install geomstats + git clone https://github.com/amaiya/ktrain ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.7K Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 20K / month Β· πŸ“¦ 3 Β· ⏱️ 05.09.2023): ``` - conda install -c conda-forge geomstats + pip install ktrain ```
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Neural Network Libraries (πŸ₯‰27 Β· ⭐ 2.6K) - Neural Network Libraries. Apache-2 +
Neural Network Libraries (πŸ₯‰29 Β· ⭐ 2.6K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 330 Β· πŸ“₯ 710 Β· πŸ“‹ 79 - 25% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 340 Β· πŸ“₯ 910 Β· πŸ“‹ 93 - 36% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.4K / month): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.7K / month Β· πŸ“¦ 54 Β· ⏱️ 01.05.2022): ``` pip install nnabla ```
+
Geomstats (πŸ₯‰29 Β· ⭐ 1K) - Computations and statistics on manifolds with geometric structures. MIT + +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 220 Β· πŸ“¦ 83 Β· πŸ“‹ 540 - 38% open Β· ⏱️ 21.09.2023): + + ``` + git clone https://github.com/geomstats/geomstats + ``` +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 1.4K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): + ``` + pip install geomstats + ``` +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 1.8K Β· ⏱️ 30.08.2023): + ``` + conda install -c conda-forge geomstats + ``` +
Neural Tangents (πŸ₯‰27 Β· ⭐ 2.1K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 230 Β· πŸ“₯ 330 Β· πŸ“¦ 81 Β· πŸ“‹ 150 - 40% open Β· ⏱️ 30.09.2023): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 230 Β· πŸ“₯ 330 Β· πŸ“¦ 82 Β· πŸ“‹ 150 - 40% open Β· ⏱️ 30.09.2023): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.1K / month Β· πŸ“¦ 1 Β· ⏱️ 24.08.2023): ``` pip install neural-tangents ```
pyRiemann (πŸ₯‰27 Β· ⭐ 530) - Machine learning for multivariate data analysis through the.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 150 Β· πŸ“¦ 280 Β· πŸ“‹ 100 - 7% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 150 Β· πŸ“¦ 280 Β· πŸ“‹ 100 - 7% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/pyRiemann/pyRiemann @@ -639,26 +671,26 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge pyriemann ```
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Towhee (πŸ₯‰26 Β· ⭐ 2.7K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 +
Towhee (πŸ₯‰26 Β· ⭐ 2.8K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 -- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 230 Β· πŸ“₯ 2.6K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 15.09.2023): +- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 240 Β· πŸ“₯ 2.6K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 15.09.2023): ``` git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 4.5K / month Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 7.1K / month Β· ⏱️ 14.09.2023): ``` pip install towhee ```
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fklearn (πŸ₯‰25 Β· ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2 +
fklearn (πŸ₯‰24 Β· ⭐ 1.5K) - fklearn: Functional Machine Learning. Apache-2 -- [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 13 Β· πŸ“‹ 63 - 61% open Β· ⏱️ 11.04.2023): +- [GitHub](https://github.com/nubank/fklearn) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“¦ 13 Β· πŸ“‹ 64 - 60% open Β· ⏱️ 15.10.2023): ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.5K / month Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 2.4K / month Β· ⏱️ 16.08.2023): ``` pip install fklearn ``` @@ -670,31 +702,43 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/itdxer/neupy ``` -- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 5.5K / month): +- [PyPi](https://pypi.org/project/neupy) (πŸ“₯ 5.5K / month Β· πŸ“¦ 13 Β· ⏱️ 04.04.2019): ``` pip install neupy ```
NeoML (πŸ₯‰23 Β· ⭐ 740) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 120 Β· πŸ“‹ 83 - 39% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 120 Β· πŸ“‹ 83 - 39% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 1K / month Β· ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 600 / month Β· ⏱️ 19.09.2023): ``` pip install neoml ```
+
Objax (πŸ₯‰23 Β· ⭐ 740) - Objax is a machine learning framework that provides an Object.. Apache-2 + +- [GitHub](https://github.com/google/objax) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 74 Β· πŸ“¦ 41 Β· πŸ“‹ 110 - 44% open Β· ⏱️ 12.06.2023): + + ``` + git clone https://github.com/google/objax + ``` +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 520 / month Β· πŸ“¦ 5 Β· ⏱️ 31.01.2022): + ``` + pip install objax + ``` +
ThunderSVM (πŸ₯‰20 Β· ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 200 Β· πŸ“₯ 2.7K Β· πŸ“‹ 220 - 32% open Β· ⏱️ 15.09.2023): +- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 210 Β· πŸ“₯ 2.7K Β· πŸ“‹ 220 - 32% open Β· ⏱️ 15.09.2023): ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 300 / month): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 330 / month Β· ⏱️ 13.03.2020): ``` pip install thundersvm ``` @@ -706,40 +750,37 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 430 / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 420 / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ```
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ThunderGBM (πŸ₯‰16 Β· ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 +
ThunderGBM (πŸ₯‰17 Β· ⭐ 680) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 81 Β· πŸ“¦ 2 Β· πŸ“‹ 78 - 46% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/Xtra-Computing/thundergbm) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 87 Β· πŸ“¦ 2 Β· πŸ“‹ 78 - 46% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 76 / month): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 160 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ```
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Show 18 hidden projects... +
Show 15 hidden projects... - dlib (πŸ₯ˆ40 Β· ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 -- Theano (πŸ₯ˆ34 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed - MindsDB (πŸ₯‰33 Β· ⭐ 18K) - MindsDB connects AI models to datasources. ❗️GPL-3.0 - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - dyNET (πŸ₯‰32 Β· ⭐ 3.4K Β· πŸ’€) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - TFlearn (πŸ₯‰31 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for.. ❗Unlicensed -- mlpack (πŸ₯‰30 Β· ⭐ 4.6K) - mlpack: a fast, header-only C++ machine learning library. ❗Unlicensed +- CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT +- NuPIC (πŸ₯‰28 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. ❗️AGPL-3.0 - Lasagne (πŸ₯‰28 Β· ⭐ 3.8K Β· πŸ’€) - Lightweight library to build and train neural networks in Theano. MIT -- NuPIC (πŸ₯‰27 Β· ⭐ 6.3K) - Numenta Platform for Intelligent Computing is an implementation of.. ❗️AGPL-3.0 -- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed - xLearn (πŸ₯‰26 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - SHOGUN (πŸ₯‰26 Β· ⭐ 3K Β· πŸ’€) - Unified and efficient Machine Learning. BSD-3 - mace (πŸ₯‰22 Β· ⭐ 4.8K Β· πŸ’€) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 - neon (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 -- Objax (πŸ₯‰21 Β· ⭐ 740) - Apache-2 - Torchbearer (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - torchbearer: A model fitting library for PyTorch. MIT - elegy (πŸ₯‰17 Β· ⭐ 450 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT - StarSpace (πŸ₯‰16 Β· ⭐ 3.9K Β· πŸ’€) - Learning embeddings for classification, retrieval and ranking. MIT @@ -752,25 +793,25 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡48 Β· ⭐ 18K) - matplotlib: plotting with Python. ❗Unlicensed +
Matplotlib (πŸ₯‡50 Β· ⭐ 18K) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7K Β· πŸ“¦ 970K Β· πŸ“‹ 9.8K - 12% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 7K Β· πŸ“¦ 970K Β· πŸ“‹ 10K - 14% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 40M / month): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 41M / month Β· πŸ“¦ 62K Β· ⏱️ 15.09.2023): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 21M Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 21M Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge matplotlib ```
Bokeh (πŸ₯‡45 Β· ⭐ 18K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 4.1K Β· πŸ“¦ 77K Β· πŸ“‹ 7.5K - 10% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 670 Β· πŸ”€ 4.1K Β· πŸ“¦ 78K Β· πŸ“‹ 7.5K - 10% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/bokeh/bokeh @@ -786,12 +827,12 @@ _General-purpose and task-specific data visualization libraries._
Plotly (πŸ₯‡44 Β· ⭐ 14K) - The interactive graphing library for Python This project now includes.. MIT -- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2.4K Β· πŸ“¦ 210K Β· πŸ“‹ 2.8K - 51% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/plotly/plotly.py) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2.4K Β· πŸ“¦ 210K Β· πŸ“‹ 2.7K - 50% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 11M / month Β· πŸ“¦ 5.2K Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 11M / month): ``` pip install plotly ``` @@ -799,19 +840,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 38K / month): +- [npm](https://www.npmjs.com/package/plotlywidget) (πŸ“₯ 39K / month): ``` npm install plotlywidget ```
Seaborn (πŸ₯‡43 Β· ⭐ 11K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.7K Β· πŸ“₯ 280 Β· πŸ“¦ 310K Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 01.10.2023): +- [GitHub](https://github.com/mwaskom/seaborn) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.8K Β· πŸ“₯ 280 Β· πŸ“¦ 310K Β· πŸ“‹ 2.4K - 4% open Β· ⏱️ 01.10.2023): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 10M / month): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 11M / month Β· πŸ“¦ 11K Β· ⏱️ 29.09.2023): ``` pip install seaborn ``` @@ -822,7 +863,7 @@ _General-purpose and task-specific data visualization libraries._
Altair (πŸ₯‡42 Β· ⭐ 8.5K) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 88 Β· πŸ“¦ 79K Β· πŸ“‹ 1.9K - 9% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/altair-viz/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 89 Β· πŸ“¦ 80K Β· πŸ“‹ 1.9K - 9% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/altair-viz/altair @@ -831,7 +872,7 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install altair ``` -- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2M Β· ⏱️ 03.10.2023): +- [Conda](https://anaconda.org/conda-forge/altair) (πŸ“₯ 2.1M Β· ⏱️ 03.10.2023): ``` conda install -c conda-forge altair ``` @@ -854,12 +895,12 @@ _General-purpose and task-specific data visualization libraries._
pandas-profiling (πŸ₯ˆ37 Β· ⭐ 11K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.5K Β· πŸ“‹ 730 - 24% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“¦ 1.6K Β· πŸ“‹ 730 - 25% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 700K / month): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 710K / month): ``` pip install pandas-profiling ``` @@ -880,110 +921,110 @@ _General-purpose and task-specific data visualization libraries._ pip install pyecharts ```
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UMAP (πŸ₯ˆ36 Β· ⭐ 6.5K) - Uniform Manifold Approximation and Projection. BSD-3 +
plotnine (πŸ₯ˆ35 Β· ⭐ 3.6K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 720 Β· πŸ“¦ 11K Β· πŸ“‹ 740 - 55% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“¦ 6K Β· πŸ“‹ 590 - 13% open Β· ⏱️ 08.08.2023): ``` - git clone https://github.com/lmcinnes/umap + git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 970K / month): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 1.3M / month Β· πŸ“¦ 250 Β· ⏱️ 01.09.2023): ``` - pip install umap-learn + pip install plotnine ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.2M Β· ⏱️ 16.09.2023): +- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 320K Β· ⏱️ 01.09.2023): ``` - conda install -c conda-forge umap-learn + conda install -c conda-forge plotnine ```
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plotnine (πŸ₯ˆ35 Β· ⭐ 3.6K) - A Grammar of Graphics for Python. MIT +
PyQtGraph (πŸ₯ˆ35 Β· ⭐ 3.4K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“¦ 5.9K Β· πŸ“‹ 580 - 13% open Β· ⏱️ 08.08.2023): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1K Β· πŸ“¦ 8.1K Β· πŸ“‹ 1.2K - 29% open Β· ⏱️ 14.10.2023): ``` - git clone https://github.com/has2k1/plotnine + git clone https://github.com/pyqtgraph/pyqtgraph ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 1.2M / month Β· πŸ“¦ 250 Β· ⏱️ 01.09.2023): +- [PyPi](https://pypi.org/project/pyqtgraph) (πŸ“₯ 160K / month Β· πŸ“¦ 940 Β· ⏱️ 29.09.2022): ``` - pip install plotnine + pip install pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (πŸ“₯ 310K Β· ⏱️ 01.09.2023): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 480K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge plotnine + conda install -c conda-forge pyqtgraph ```
VisPy (πŸ₯ˆ35 Β· ⭐ 3.1K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 610 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 81K / month): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 73K / month Β· πŸ“¦ 130 Β· ⏱️ 03.10.2023): ``` pip install vispy ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 430K Β· ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 440K Β· ⏱️ 04.10.2023): ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 17 / month Β· πŸ“¦ 1 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 16 / month Β· πŸ“¦ 1 Β· ⏱️ 15.03.2020): ``` npm install vispy ```
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Graphviz (πŸ₯ˆ35 Β· ⭐ 1.5K) - Simple Python interface for Graphviz. MIT +
PyVista (πŸ₯ˆ35 Β· ⭐ 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT -- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 200 Β· πŸ“¦ 54K Β· πŸ“‹ 160 - 5% open Β· ⏱️ 22.07.2023): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 380 Β· πŸ“₯ 780 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/xflr6/graphviz + git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 8M / month Β· πŸ“¦ 3.4K Β· ⏱️ 23.07.2022): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 210K / month Β· πŸ“¦ 220 Β· ⏱️ 07.10.2023): ``` - pip install graphviz + pip install pyvista ``` -- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 410K Β· ⏱️ 07.10.2023): ``` - conda install -c anaconda python-graphviz + conda install -c conda-forge pyvista ```
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FiftyOne (πŸ₯ˆ34 Β· ⭐ 5.2K) - Visualize, create, and debug image and video datasets.. Apache-2 +
FiftyOne (πŸ₯ˆ34 Β· ⭐ 5.3K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 420 Β· πŸ“¦ 410 Β· πŸ“‹ 1.4K - 35% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 420 Β· πŸ“¦ 410 Β· πŸ“‹ 1.4K - 34% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 41K / month Β· πŸ“¦ 9 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 42K / month Β· πŸ“¦ 9 Β· ⏱️ 06.10.2023): ``` pip install fiftyone ```
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PyVista (πŸ₯ˆ34 Β· ⭐ 2K) - 3D plotting and mesh analysis through a streamlined interface for the.. MIT +
Graphviz (πŸ₯ˆ34 Β· ⭐ 1.5K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 380 Β· πŸ“₯ 780 Β· πŸ“¦ 2.3K Β· πŸ“‹ 1.3K - 27% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/xflr6/graphviz) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“¦ 55K Β· πŸ“‹ 160 - 5% open Β· ⏱️ 16.10.2023): ``` - git clone https://github.com/pyvista/pyvista + git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 200K / month Β· πŸ“¦ 220 Β· ⏱️ 07.10.2023): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 7.8M / month Β· πŸ“¦ 3.4K Β· ⏱️ 23.07.2022): ``` - pip install pyvista + pip install graphviz ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 410K Β· ⏱️ 07.10.2023): +- [Conda](https://anaconda.org/anaconda/python-graphviz) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge pyvista + conda install -c anaconda python-graphviz ```
datashader (πŸ₯ˆ33 Β· ⭐ 3.1K) - 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“¦ 3K Β· πŸ“‹ 570 - 23% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 350 Β· πŸ“¦ 3K Β· πŸ“‹ 560 - 21% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 75K / month Β· πŸ“¦ 120 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 240K / month): ``` pip install datashader ``` @@ -992,14 +1033,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge datashader ```
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Perspective (πŸ₯ˆ32 Β· ⭐ 6.8K) - A data visualization and analytics component, especially.. Apache-2 +
hvPlot (πŸ₯ˆ32 Β· ⭐ 810) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 830 Β· πŸ“₯ 1.3K Β· πŸ“¦ 620 Β· πŸ“‹ 670 - 14% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 88 Β· πŸ“¦ 3.8K Β· πŸ“‹ 670 - 42% open Β· ⏱️ 16.10.2023): + + ``` + git clone https://github.com/holoviz/hvplot + ``` +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 120K / month Β· πŸ“¦ 93 Β· ⏱️ 16.10.2023): + ``` + pip install hvplot + ``` +- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 480K Β· ⏱️ 16.10.2023): + ``` + conda install -c conda-forge hvplot + ``` +
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Perspective (πŸ₯ˆ31 Β· ⭐ 6.8K) - A data visualization and analytics component, especially.. Apache-2 + +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 840 Β· πŸ“₯ 1.4K Β· πŸ“¦ 100 Β· πŸ“‹ 670 - 14% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 6.8K / month Β· πŸ“¦ 13 Β· ⏱️ 08.10.2023): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 7K / month): ``` pip install perspective-python ``` @@ -1007,19 +1064,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 2.3K / month Β· πŸ“¦ 3 Β· ⏱️ 08.10.2023): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 2.4K / month Β· πŸ“¦ 3 Β· ⏱️ 08.10.2023): ``` npm install @finos/perspective-jupyterlab ```
D-Tale (πŸ₯ˆ31 Β· ⭐ 4.3K) - Visualizer for pandas data structures. ❗️LGPL-2.1 -- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 350 Β· πŸ“¦ 890 Β· πŸ“‹ 540 - 9% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/man-group/dtale) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 350 Β· πŸ“¦ 890 Β· πŸ“‹ 540 - 9% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 100K / month Β· πŸ“¦ 21 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 110K / month Β· πŸ“¦ 21 Β· ⏱️ 02.10.2023): ``` pip install dtale ``` @@ -1028,41 +1085,41 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dtale ```
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HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K Β· πŸ“‰) - With Holoviews, your data visualizes itself. BSD-3 +
HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“‹ 3.1K - 32% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 370 Β· πŸ“‹ 3.1K - 32% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 300K / month): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 310K / month): ``` pip install holoviews ``` -- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.4M Β· ⏱️ 17.08.2023): +- [Conda](https://anaconda.org/conda-forge/holoviews) (πŸ“₯ 1.4M Β· ⏱️ 19.10.2023): ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 980 / month): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 1.1K / month): ``` npm install @pyviz/jupyterlab_pyviz ```
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.2K) - Multiplatform plotting library based on Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 48 Β· πŸ“₯ 540 Β· πŸ“¦ 48 Β· πŸ“‹ 440 - 26% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 48 Β· πŸ“₯ 540 Β· πŸ“¦ 48 Β· πŸ“‹ 440 - 26% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 28K / month Β· πŸ“¦ 1 Β· ⏱️ 13.09.2023): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 29K / month Β· πŸ“¦ 1 Β· ⏱️ 13.09.2023): ``` pip install lets-plot ```
wordcloud (πŸ₯ˆ30 Β· ⭐ 9.7K) - A little word cloud generator in Python. MIT -- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 2.2K Β· πŸ“¦ 18 Β· πŸ“‹ 500 - 18% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/amueller/word_cloud) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 2.3K Β· πŸ“¦ 19 Β· πŸ“‹ 500 - 18% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/amueller/word_cloud @@ -1076,40 +1133,40 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge wordcloud ```
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bqplot (πŸ₯ˆ30 Β· ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 +
UMAP (πŸ₯ˆ30 Β· ⭐ 6.5K Β· πŸ“‰) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 470 Β· πŸ“¦ 49 Β· πŸ“‹ 610 - 39% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 720 Β· πŸ“¦ 1 Β· πŸ“‹ 740 - 55% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/bqplot/bqplot - ``` -- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 140K / month Β· πŸ“¦ 100 Β· ⏱️ 17.07.2023): - ``` - pip install bqplot + git clone https://github.com/lmcinnes/umap ``` -- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.2M Β· ⏱️ 12.07.2023): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 990K / month): ``` - conda install -c conda-forge bqplot + pip install umap-learn ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 5.3K / month Β· πŸ“¦ 16 Β· ⏱️ 04.08.2023): +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.2M Β· ⏱️ 16.09.2023): ``` - npm install bqplot + conda install -c conda-forge umap-learn ```
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hvPlot (πŸ₯ˆ30 Β· ⭐ 810) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
bqplot (πŸ₯ˆ30 Β· ⭐ 3.5K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 88 Β· πŸ“¦ 3.7K Β· πŸ“‹ 690 - 44% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 480 Β· πŸ“¦ 49 Β· πŸ“‹ 620 - 40% open Β· ⏱️ 04.10.2023): ``` - git clone https://github.com/holoviz/hvplot + git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 120K / month Β· πŸ“¦ 92 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/bqplot) (πŸ“₯ 140K / month Β· πŸ“¦ 100 Β· ⏱️ 17.10.2023): ``` - pip install hvplot + pip install bqplot ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (πŸ“₯ 480K Β· ⏱️ 20.06.2023): +- [Conda](https://anaconda.org/conda-forge/bqplot) (πŸ“₯ 1.2M Β· ⏱️ 12.07.2023): ``` - conda install -c conda-forge hvplot + conda install -c conda-forge bqplot + ``` +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 5.2K / month Β· πŸ“¦ 16 Β· ⏱️ 17.10.2023): + ``` + npm install bqplot ```
Facets Overview (πŸ₯‰29 Β· ⭐ 7.2K) - Visualizations for machine learning datasets. Apache-2 @@ -1119,23 +1176,23 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pair-code/facets ``` -- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 190K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): +- [PyPi](https://pypi.org/project/facets-overview) (πŸ“₯ 210K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2023): ``` pip install facets-overview ```
Sweetviz (πŸ₯‰29 Β· ⭐ 2.6K) - Visualize and compare datasets, target values and associations, with one.. MIT -- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 260 Β· πŸ“¦ 1.7K Β· πŸ“‹ 120 - 28% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/fbdesignpro/sweetviz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 260 Β· πŸ“¦ 1.7K Β· πŸ“‹ 130 - 33% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 72K / month): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 70K / month Β· πŸ“¦ 12 Β· ⏱️ 26.08.2023): ``` pip install sweetviz ``` -- [Conda](https://anaconda.org/conda-forge/sweetviz) (πŸ“₯ 25K Β· ⏱️ 28.08.2023): +- [Conda](https://anaconda.org/conda-forge/sweetviz) (πŸ“₯ 26K Β· ⏱️ 28.08.2023): ``` conda install -c conda-forge sweetviz ``` @@ -1155,31 +1212,31 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 560 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 600 / month Β· πŸ“¦ 8 Β· ⏱️ 10.12.2022): ``` npm install mpld3 ```
data-validation (πŸ₯‰29 Β· ⭐ 730) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 470 Β· πŸ“¦ 740 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/tensorflow/data-validation) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 150 Β· πŸ“₯ 470 Β· πŸ“¦ 750 Β· πŸ“‹ 180 - 20% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/tensorflow/data-validation ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 370K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (πŸ“₯ 410K / month Β· πŸ“¦ 30 Β· ⏱️ 14.08.2023): ``` pip install tensorflow-data-validation ```
missingno (πŸ₯‰28 Β· ⭐ 3.7K Β· πŸ’€) - Missing data visualization module for Python. MIT -- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 460 Β· πŸ“¦ 13K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 26.02.2023): +- [GitHub](https://github.com/ResidentMario/missingno) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 440 Β· πŸ“¦ 13K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 26.02.2023): ``` git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 370K / month Β· πŸ“¦ 140 Β· ⏱️ 27.02.2022): +- [PyPi](https://pypi.org/project/missingno) (πŸ“₯ 390K / month): ``` pip install missingno ``` @@ -1188,18 +1245,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge missingno ```
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AutoViz (πŸ₯‰27 Β· ⭐ 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 +
AutoViz (πŸ₯‰28 Β· ⭐ 1.5K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 180 Β· πŸ“¦ 560 Β· πŸ“‹ 78 - 2% open Β· ⏱️ 04.07.2023): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 180 Β· πŸ“¦ 560 Β· πŸ“‹ 79 - 3% open Β· ⏱️ 04.07.2023): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 160K / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2022): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 290K / month Β· πŸ“¦ 7 Β· ⏱️ 03.10.2022): ``` pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 42K Β· ⏱️ 21.07.2023): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 43K Β· ⏱️ 21.07.2023): ``` conda install -c conda-forge autoviz ``` @@ -1226,12 +1283,12 @@ _General-purpose and task-specific data visualization libraries._
openTSNE (πŸ₯‰26 Β· ⭐ 1.3K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 660 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 21.08.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 150 Β· πŸ“¦ 670 Β· πŸ“‹ 130 - 1% open Β· ⏱️ 21.08.2023): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 32K / month): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 31K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2022): ``` pip install opentsne ``` @@ -1242,12 +1299,12 @@ _General-purpose and task-specific data visualization libraries._
Chartify (πŸ₯‰25 Β· ⭐ 3.4K) - 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“¦ 73 Β· πŸ“‹ 75 - 57% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/spotify/chartify) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 310 Β· πŸ“¦ 73 Β· πŸ“‹ 80 - 60% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.1K / month): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 2.6K / month Β· πŸ“¦ 10 Β· ⏱️ 12.10.2023): ``` pip install chartify ``` @@ -1256,6 +1313,22 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge chartify ```
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HiPlot (πŸ₯‰25 Β· ⭐ 2.6K) - HiPlot makes understanding high dimensional data easy. MIT + +- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 340 Β· πŸ“‹ 92 - 20% open Β· ⏱️ 19.07.2023): + + ``` + git clone https://github.com/facebookresearch/hiplot + ``` +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 24K / month Β· πŸ“¦ 15 Β· ⏱️ 05.07.2022): + ``` + pip install hiplot + ``` +- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 160K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge hiplot + ``` +
Multicore-TSNE (πŸ₯‰25 Β· ⭐ 1.8K) - Parallel t-SNE implementation with Python and Torch.. BSD-3 - [GitHub](https://github.com/DmitryUlyanov/Multicore-TSNE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 230 Β· πŸ“¦ 410 Β· πŸ“‹ 66 - 68% open Β· ⏱️ 26.05.2023): @@ -1263,7 +1336,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 30K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 31K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` @@ -1272,18 +1345,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge multicore-tsne ```
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Plotly-Resampler (πŸ₯‰25 Β· ⭐ 810) - Visualize large time series data with plotly.py. MIT +
Plotly-Resampler (πŸ₯‰25 Β· ⭐ 820) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 53 Β· πŸ“¦ 600 Β· πŸ“‹ 130 - 29% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 54 Β· πŸ“¦ 610 Β· πŸ“‹ 130 - 29% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 320K / month): +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 330K / month): ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 29K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 30K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge plotly-resampler ``` @@ -1295,43 +1368,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 30K / month): +- [PyPi](https://pypi.org/project/pandas-bokeh) (πŸ“₯ 26K / month Β· πŸ“¦ 12 Β· ⏱️ 11.04.2021): ``` pip install pandas-bokeh ```
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vega (πŸ₯‰24 Β· ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 - -- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 62 Β· πŸ“¦ 2 Β· πŸ“‹ 100 - 12% open Β· ⏱️ 01.10.2023): - - ``` - git clone https://github.com/vega/ipyvega - ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 12K / month Β· πŸ“¦ 83 Β· ⏱️ 10.02.2022): - ``` - pip install vega - ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 570K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge vega - ``` -
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HiPlot (πŸ₯‰23 Β· ⭐ 2.6K) - HiPlot makes understanding high dimensional data easy. MIT - -- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 310 Β· πŸ“‹ 85 - 14% open Β· ⏱️ 19.07.2023): - - ``` - git clone https://github.com/facebookresearch/hiplot - ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 24K / month): - ``` - pip install hiplot - ``` -- [Conda](https://anaconda.org/conda-forge/hiplot) (πŸ“₯ 160K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge hiplot - ``` -
python-ternary (πŸ₯‰23 Β· ⭐ 650) - Ternary plotting library for python with matplotlib. MIT - [GitHub](https://github.com/marcharper/python-ternary) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“₯ 25 Β· πŸ“¦ 150 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 26.09.2023): @@ -1348,6 +1389,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge python-ternary ```
+
Popmon (πŸ₯‰22 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT + +- [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 35 Β· πŸ“₯ 120 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 27% open Β· ⏱️ 18.07.2023): + + ``` + git clone https://github.com/ing-bank/popmon + ``` +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 8.2K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): + ``` + pip install popmon + ``` +
PDPbox (πŸ₯‰21 Β· ⭐ 780) - python partial dependence plot toolbox. MIT - [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 130 Β· πŸ“‹ 65 - 40% open Β· ⏱️ 05.06.2023): @@ -1364,16 +1417,20 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pdpbox ```
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Popmon (πŸ₯‰21 Β· ⭐ 470) - Monitor the stability of a Pandas or Spark dataframe. MIT +
vega (πŸ₯‰21 Β· ⭐ 360) - IPython/Jupyter notebook module for Vega and Vega-Lite. BSD-3 -- [GitHub](https://github.com/ing-bank/popmon) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 35 Β· πŸ“₯ 120 Β· πŸ“¦ 20 Β· πŸ“‹ 55 - 27% open Β· ⏱️ 18.07.2023): +- [GitHub](https://github.com/vega/ipyvega) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 60 Β· πŸ“¦ 2 Β· πŸ“‹ 100 - 10% open Β· ⏱️ 01.10.2023): ``` - git clone https://github.com/ing-bank/popmon + git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 7.9K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 13K / month): ``` - pip install popmon + pip install vega + ``` +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 570K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge vega ```
ivis (πŸ₯‰18 Β· ⭐ 300 Β· πŸ’€) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 @@ -1383,16 +1440,15 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/beringresearch/ivis ``` -- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 200 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): +- [PyPi](https://pypi.org/project/ivis) (πŸ“₯ 180 / month Β· πŸ“¦ 2 Β· ⏱️ 10.03.2022): ``` pip install ivis ```
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Show 14 hidden projects... +
Show 13 hidden projects... - cartopy (πŸ₯ˆ34 Β· ⭐ 1.3K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 -- PyQtGraph (πŸ₯ˆ32 Β· ⭐ 3.4K) - Fast data visualization and GUI tools for scientific /.. ❗Unlicensed -- Cufflinks (πŸ₯‰29 Β· ⭐ 2.9K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT +- Cufflinks (πŸ₯‰27 Β· ⭐ 2.9K Β· πŸ’€) - Productivity Tools for Plotly + Pandas. MIT - HyperTools (πŸ₯‰26 Β· ⭐ 1.8K Β· πŸ’€) - A Python toolbox for gaining geometric insights into high-.. MIT - PandasGUI (πŸ₯‰23 Β· ⭐ 3K Β· πŸ’€) - A GUI for Pandas DataFrames. ❗️MIT-0 - pivottablejs (πŸ₯‰23 Β· ⭐ 600 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT @@ -1400,10 +1456,10 @@ _General-purpose and task-specific data visualization libraries._ - PyWaffle (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Make Waffle Charts in Python. MIT - vegafusion (πŸ₯‰20 Β· ⭐ 270) - Serverside scaling for Vega and Altair visualizations. BSD-3 - animatplot (πŸ₯‰18 Β· ⭐ 400 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT -- pdvega (πŸ₯‰16 Β· ⭐ 350 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - nx-altair (πŸ₯‰16 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT - data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data.. ❗Unlicensed -- nptsne (πŸ₯‰10 Β· ⭐ 31 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 +- pdvega (πŸ₯‰13 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT +- nptsne (πŸ₯‰12 Β· ⭐ 31 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1415,39 +1471,39 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (πŸ₯‡50 Β· ⭐ 110K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.2K Β· πŸ”€ 22K Β· πŸ“₯ 140 Β· πŸ“¦ 110K Β· πŸ“‹ 13K - 5% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.2K Β· πŸ”€ 22K Β· πŸ“₯ 140 Β· πŸ“¦ 110K Β· πŸ“‹ 13K - 5% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 18M / month): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 18M / month Β· πŸ“¦ 2.4K Β· ⏱️ 18.10.2023): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.4M Β· ⏱️ 07.10.2023): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.4M Β· ⏱️ 19.10.2023): ``` conda install -c conda-forge transformers ```
spaCy (πŸ₯‡44 Β· ⭐ 27K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.1K Β· πŸ“¦ 71K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 740 Β· πŸ”€ 4.2K Β· πŸ“¦ 72K Β· πŸ“‹ 5.5K - 1% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6.6M / month): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 6.9M / month Β· πŸ“¦ 2.8K Β· ⏱️ 16.10.2023): ``` pip install spacy ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 3.2M Β· ⏱️ 10.10.2023): +- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 3.3M Β· ⏱️ 10.10.2023): ``` conda install -c conda-forge spacy ```
nltk (πŸ₯‡42 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”€ 2.8K Β· πŸ“¦ 220K Β· πŸ“‹ 1.8K - 15% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 2.8K Β· πŸ“¦ 230K Β· πŸ“‹ 1.8K - 15% open Β· ⏱️ 28.09.2023): ``` git clone https://github.com/nltk/nltk @@ -1461,69 +1517,85 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge nltk ```
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Rasa (πŸ₯‡41 Β· ⭐ 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2 +
gensim (πŸ₯‡41 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 + +- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.4K Β· πŸ“₯ 4.5K Β· πŸ“¦ 51K Β· πŸ“‹ 1.8K - 21% open Β· ⏱️ 01.10.2023): + + ``` + git clone https://github.com/RaRe-Technologies/gensim + ``` +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4M / month Β· πŸ“¦ 3.1K Β· ⏱️ 24.08.2023): + ``` + pip install gensim + ``` +- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.2M Β· ⏱️ 24.08.2023): + ``` + conda install -c conda-forge gensim + ``` +
+
Rasa (πŸ₯‡40 Β· ⭐ 17K) - Open source machine learning framework to automate text- and voice-.. Apache-2 - [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.4K Β· πŸ“¦ 3.7K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 120K / month Β· πŸ“¦ 66 Β· ⏱️ 10.10.2023): +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 110K / month Β· πŸ“¦ 66 Β· ⏱️ 18.10.2023): ``` pip install rasa ```
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gensim (πŸ₯‡41 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 +
flair (πŸ₯‡38 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT -- [GitHub](https://github.com/RaRe-Technologies/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.1K Β· πŸ“₯ 4.5K Β· πŸ“¦ 51K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 01.10.2023): +- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 2.8K Β· πŸ“‹ 2.2K - 3% open Β· ⏱️ 12.10.2023): ``` - git clone https://github.com/RaRe-Technologies/gensim + git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 4M / month): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 81K / month Β· πŸ“¦ 87 Β· ⏱️ 20.05.2022): ``` - pip install gensim + pip install flair ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (πŸ“₯ 1.2M Β· ⏱️ 24.08.2023): +- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 21K Β· ⏱️ 23.07.2023): ``` - conda install -c conda-forge gensim + conda install -c conda-forge python-flair ```
Tokenizers (πŸ₯‡38 Β· ⭐ 7.7K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 630 Β· πŸ“₯ 33 Β· πŸ“¦ 44K Β· πŸ“‹ 840 - 31% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 80 Β· πŸ”€ 620 Β· πŸ“₯ 33 Β· πŸ“¦ 45K Β· πŸ“‹ 830 - 30% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 14M / month Β· πŸ“¦ 320 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/tokenizers) (πŸ“₯ 14M / month): ``` pip install tokenizers ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.3M Β· ⏱️ 10.10.2023): +- [Conda](https://anaconda.org/conda-forge/tokenizers) (πŸ“₯ 1.3M Β· ⏱️ 16.10.2023): ``` conda install -c conda-forge tokenizers ```
fairseq (πŸ₯‡37 Β· ⭐ 28K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.1K Β· πŸ“₯ 320 Β· πŸ“¦ 2.1K Β· πŸ“‹ 4.1K - 26% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 5.9K Β· πŸ“₯ 320 Β· πŸ“¦ 2.2K Β· πŸ“‹ 4K - 24% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 550K / month Β· πŸ“¦ 64 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 480K / month): ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 50K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 51K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge fairseq ```
haystack (πŸ₯‡37 Β· ⭐ 11K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.4K Β· πŸ“₯ 23 Β· πŸ“¦ 950 Β· πŸ“‹ 2.6K - 17% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 1.4K Β· πŸ“₯ 23 Β· πŸ“¦ 960 Β· πŸ“‹ 2.7K - 18% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/deepset-ai/haystack @@ -1540,7 +1612,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 3M / month Β· πŸ“¦ 420 Β· ⏱️ 26.06.2022): +- [PyPi](https://pypi.org/project/sentence-transformers) (πŸ“₯ 3.1M / month Β· πŸ“¦ 420 Β· ⏱️ 26.06.2022): ``` pip install sentence-transformers ``` @@ -1549,21 +1621,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sentence-transformers ```
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NeMo (πŸ₯‡36 Β· ⭐ 8.1K) - NeMo: a toolkit for conversational AI. Apache-2 +
NeMo (πŸ₯‡36 Β· ⭐ 8.2K) - NeMo: a toolkit for conversational AI. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.7K Β· πŸ“₯ 81K Β· πŸ“¦ 18 Β· πŸ“‹ 1.8K - 2% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 1.8K Β· πŸ“₯ 84K Β· πŸ“¦ 19 Β· πŸ“‹ 1.8K - 1% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 43K / month): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 40K / month): ``` pip install nemo-toolkit ```
spark-nlp (πŸ₯‡36 Β· ⭐ 3.5K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 670 Β· πŸ“¦ 340 Β· πŸ“‹ 830 - 4% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 670 Β· πŸ“¦ 350 Β· πŸ“‹ 830 - 4% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/JohnSnowLabs/spark-nlp @@ -1573,14 +1645,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install spark-nlp ```
+
AllenNLP (πŸ₯ˆ35 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 + +- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.3K Β· πŸ“₯ 61 Β· πŸ“¦ 3.8K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): + + ``` + git clone https://github.com/allenai/allennlp + ``` +- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 46K / month Β· πŸ“¦ 190 Β· ⏱️ 18.10.2022): + ``` + pip install allennlp + ``` +- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 120K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge allennlp + ``` +
ParlAI (πŸ₯ˆ35 Β· ⭐ 10K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2K Β· πŸ“¦ 210 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/facebookresearch/ParlAI) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.1K Β· πŸ“¦ 220 Β· πŸ“‹ 1.5K - 3% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 1.6K / month): +- [PyPi](https://pypi.org/project/parlai) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 20.09.2022): ``` pip install parlai ``` @@ -1592,7 +1680,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 600K / month Β· πŸ“¦ 1.4K Β· ⏱️ 22.10.2021): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 610K / month Β· πŸ“¦ 1.4K Β· ⏱️ 22.10.2021): ``` pip install textblob ``` @@ -1603,7 +1691,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
sentencepiece (πŸ₯ˆ35 Β· ⭐ 8.3K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1K Β· πŸ“₯ 31K Β· πŸ“¦ 43K Β· πŸ“‹ 660 - 4% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 1K Β· πŸ“₯ 31K Β· πŸ“¦ 44K Β· πŸ“‹ 660 - 4% open Β· ⏱️ 05.08.2023): ``` git clone https://github.com/google/sentencepiece @@ -1612,70 +1700,70 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install sentencepiece ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 630K Β· ⏱️ 08.10.2023): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 640K Β· ⏱️ 08.10.2023): ``` conda install -c conda-forge sentencepiece ```
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TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.1K) - Making text a first-class citizen in TensorFlow. Apache-2 +
stanza (πŸ₯ˆ35 Β· ⭐ 6.8K) - Stanford NLP Python library for tokenization, sentence segmentation,.. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“¦ 5.9K Β· πŸ“‹ 230 - 28% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/stanfordnlp/stanza) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 890 Β· πŸ“¦ 2.2K Β· πŸ“‹ 820 - 9% open Β· ⏱️ 06.10.2023): ``` - git clone https://github.com/tensorflow/text + git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.4M / month): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 130K / month Β· πŸ“¦ 91 Β· ⏱️ 06.10.2023): ``` - pip install tensorflow-text + pip install stanza + ``` +- [Conda](https://anaconda.org/stanfordnlp/stanza) (πŸ“₯ 7.2K Β· ⏱️ 16.06.2023): + ``` + conda install -c stanfordnlp stanza ```
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fastText (πŸ₯ˆ34 Β· ⭐ 25K) - Library for fast text representation and classification. MIT +
TensorFlow Text (πŸ₯ˆ35 Β· ⭐ 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 4.5K Β· πŸ“¦ 5.1K Β· πŸ“‹ 1.1K - 42% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/tensorflow/text) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“¦ 5.9K Β· πŸ“‹ 230 - 29% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/facebookresearch/fastText - ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.1M / month): - ``` - pip install fasttext + git clone https://github.com/tensorflow/text ``` -- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 65K Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 3.3M / month): ``` - conda install -c conda-forge fasttext + pip install tensorflow-text ```
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AllenNLP (πŸ₯ˆ34 Β· ⭐ 12K Β· πŸ’€) - An open-source NLP research library, built on PyTorch. Apache-2 +
fastText (πŸ₯ˆ34 Β· ⭐ 25K) - Library for fast text representation and classification. MIT -- [GitHub](https://github.com/allenai/allennlp) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.2K Β· πŸ“₯ 61 Β· πŸ“¦ 3.8K Β· πŸ“‹ 2.6K - 3% open Β· ⏱️ 22.11.2022): +- [GitHub](https://github.com/facebookresearch/fastText) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 4.6K Β· πŸ“¦ 5.1K Β· πŸ“‹ 1.2K - 47% open Β· ⏱️ 04.10.2023): ``` - git clone https://github.com/allenai/allennlp + git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/allennlp) (πŸ“₯ 44K / month): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 220 Β· ⏱️ 28.04.2020): ``` - pip install allennlp + pip install fasttext ``` -- [Conda](https://anaconda.org/conda-forge/allennlp) (πŸ“₯ 120K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 66K Β· ⏱️ 26.09.2023): ``` - conda install -c conda-forge allennlp + conda install -c conda-forge fasttext ```
OpenNMT (πŸ₯ˆ34 Β· ⭐ 6.3K) - Open Source Neural Machine Translation and (Large) Language Models.. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 230 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 2.2K Β· πŸ“¦ 230 Β· πŸ“‹ 1.4K - 1% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 6.3K / month Β· πŸ“¦ 10 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 6.2K / month Β· πŸ“¦ 10 Β· ⏱️ 26.09.2023): ``` pip install OpenNMT-py ```
rubrix (πŸ₯ˆ34 Β· ⭐ 2.6K) - Argilla: the open-source data curation platform for LLMs. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.5K - 14% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 240 Β· πŸ“¦ 2K Β· πŸ“‹ 1.5K - 13% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/recognai/rubrix @@ -1689,114 +1777,114 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge rubrix ```
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litellm (πŸ₯ˆ33 Β· ⭐ 1.9K Β· 🐣) - Call all LLM APIs using the OpenAI format. Use Azure,.. MIT o t h e r s +
litellm (πŸ₯ˆ34 Β· ⭐ 2.1K Β· 🐣) - Call all LLM APIs using the OpenAI format. Use Azure,.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 510 - 26% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 160 Β· πŸ“¦ 240 Β· πŸ“‹ 550 - 26% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 250K / month Β· πŸ“¦ 23 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 160K / month Β· πŸ“¦ 27 Β· ⏱️ 18.10.2023): ``` pip install litellm ```
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snowballstemmer (πŸ₯ˆ33 Β· ⭐ 690) - Snowball compiler and stemming algorithms. BSD-3 +
torchtext (πŸ₯ˆ33 Β· ⭐ 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3 -- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 4 Β· πŸ“‹ 87 - 35% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 810 Β· πŸ“‹ 810 - 37% open Β· ⏱️ 16.10.2023): ``` - git clone https://github.com/snowballstem/snowball - ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 11M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): + git clone https://github.com/pytorch/text ``` - pip install snowballstemmer +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 370K / month Β· πŸ“¦ 480 Β· ⏱️ 04.10.2023): ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 7.3M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge snowballstemmer + pip install torchtext ```
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torchtext (πŸ₯ˆ32 Β· ⭐ 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3 +
jellyfish (πŸ₯ˆ33 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 810 Β· πŸ“‹ 810 - 37% open Β· ⏱️ 01.09.2023): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 7.1K Β· πŸ“‹ 130 - 6% open Β· ⏱️ 14.10.2023): ``` - git clone https://github.com/pytorch/text + git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 380K / month Β· πŸ“¦ 480 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.3M / month Β· πŸ“¦ 450 Β· ⏱️ 18.09.2023): ``` - pip install torchtext + pip install jellyfish + ``` +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 720K Β· ⏱️ 25.09.2023): + ``` + conda install -c conda-forge jellyfish ```
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DeepPavlov (πŸ₯ˆ31 Β· ⭐ 6.4K) - An open source library for deep learning end-to-end dialog.. Apache-2 +
snowballstemmer (πŸ₯ˆ33 Β· ⭐ 690) - Snowball compiler and stemming algorithms. BSD-3 -- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 360 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 17.08.2023): +- [GitHub](https://github.com/snowballstem/snowball) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 170 Β· πŸ“¦ 4 Β· πŸ“‹ 87 - 35% open Β· ⏱️ 06.10.2023): ``` - git clone https://github.com/deepmipt/DeepPavlov + git clone https://github.com/snowballstem/snowball + ``` +- [PyPi](https://pypi.org/project/snowballstemmer) (πŸ“₯ 11M / month Β· πŸ“¦ 6.8K Β· ⏱️ 16.11.2021): ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 7.7K / month Β· πŸ“¦ 6 Β· ⏱️ 17.08.2023): + pip install snowballstemmer ``` - pip install deeppavlov +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 7.3M Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge snowballstemmer ```
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jellyfish (πŸ₯ˆ31 Β· ⭐ 1.9K) - a python library for doing approximate and phonetic matching of strings. MIT +
DeepPavlov (πŸ₯ˆ32 Β· ⭐ 6.4K) - An open source library for deep learning end-to-end dialog.. Apache-2 -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 160 Β· πŸ“¦ 7.1K Β· πŸ“‹ 130 - 5% open Β· ⏱️ 18.09.2023): +- [GitHub](https://github.com/deeppavlov/DeepPavlov) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 1.1K Β· πŸ“¦ 360 Β· πŸ“‹ 630 - 2% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/jamesturk/jellyfish - ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 2.3M / month): - ``` - pip install jellyfish + git clone https://github.com/deepmipt/DeepPavlov ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 710K Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 8K / month Β· πŸ“¦ 6 Β· ⏱️ 17.10.2023): ``` - conda install -c conda-forge jellyfish + pip install deeppavlov ```
SciSpacy (πŸ₯ˆ31 Β· ⭐ 1.5K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 200 Β· πŸ“¦ 770 Β· πŸ“‹ 300 - 9% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 200 Β· πŸ“¦ 770 Β· πŸ“‹ 300 - 10% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 63K / month): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 63K / month Β· πŸ“¦ 30 Β· ⏱️ 30.09.2023): ``` pip install scispacy ```
spacy-transformers (πŸ₯ˆ31 Β· ⭐ 1.3K) - 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“¦ 1.3K Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“¦ 1.3K Β· ⏱️ 11.10.2023): ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 360K / month): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 380K / month Β· πŸ“¦ 42 Β· ⏱️ 12.10.2023): ``` pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 23K Β· ⏱️ 12.10.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 23K Β· ⏱️ 13.10.2023): ``` conda install -c conda-forge spacy-transformers ```
TextDistance (πŸ₯ˆ30 Β· ⭐ 3.2K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 920 Β· πŸ“¦ 5K Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 250 Β· πŸ“₯ 920 Β· πŸ“¦ 5K Β· ⏱️ 28.09.2023): ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 370K / month): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 370K / month Β· πŸ“¦ 63 Β· ⏱️ 28.09.2023): ``` pip install textdistance ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 470K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/textdistance) (πŸ“₯ 480K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge textdistance ``` @@ -1808,98 +1896,98 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dmlc/gluon-nlp ``` -- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 76K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): +- [PyPi](https://pypi.org/project/gluonnlp) (πŸ“₯ 81K / month Β· πŸ“¦ 22 Β· ⏱️ 13.08.2020): ``` pip install gluonnlp ```
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ftfy (πŸ₯ˆ29 Β· ⭐ 3.6K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT +
english-words (πŸ₯ˆ29 Β· ⭐ 9.4K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 110 Β· πŸ“¦ 14K Β· πŸ“‹ 130 - 9% open Β· ⏱️ 25.10.2022): +- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 1.7K Β· πŸ“¦ 2 Β· πŸ“‹ 130 - 73% open Β· ⏱️ 08.11.2022): ``` - git clone https://github.com/rspeer/python-ftfy - ``` -- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3.2M / month): - ``` - pip install ftfy + git clone https://github.com/dwyl/english-words ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 270K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 630K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): ``` - conda install -c conda-forge ftfy + pip install english-words ```
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english-words (πŸ₯ˆ28 Β· ⭐ 9.4K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense +
Dedupe (πŸ₯ˆ29 Β· ⭐ 3.8K Β· πŸ’€) - A python library for accurate and scalable fuzzy matching, record.. MIT -- [GitHub](https://github.com/dwyl/english-words) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 1.7K Β· πŸ“¦ 1 Β· πŸ“‹ 130 - 73% open Β· ⏱️ 08.11.2022): +- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 520 Β· πŸ“¦ 300 Β· πŸ“‹ 800 - 9% open Β· ⏱️ 17.02.2023): ``` - git clone https://github.com/dwyl/english-words + git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/english-words) (πŸ“₯ 650K / month Β· πŸ“¦ 8 Β· ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 71K / month Β· πŸ“¦ 49 Β· ⏱️ 17.02.2023): ``` - pip install english-words + pip install dedupe + ``` +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge dedupe ```
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Dedupe (πŸ₯ˆ28 Β· ⭐ 3.8K Β· πŸ’€) - A python library for accurate and scalable fuzzy matching, record.. MIT +
ftfy (πŸ₯ˆ29 Β· ⭐ 3.6K Β· πŸ’€) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT -- [GitHub](https://github.com/dedupeio/dedupe) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 510 Β· πŸ“¦ 300 Β· πŸ“‹ 800 - 8% open Β· ⏱️ 17.02.2023): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 14K Β· πŸ“‹ 140 - 11% open Β· ⏱️ 25.10.2022): ``` - git clone https://github.com/dedupeio/dedupe + git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 70K / month): +- [PyPi](https://pypi.org/project/ftfy) (πŸ“₯ 3M / month Β· πŸ“¦ 610 Β· ⏱️ 09.02.2022): ``` - pip install dedupe + pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ftfy) (πŸ“₯ 270K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge dedupe + conda install -c conda-forge ftfy ```
Sumy (πŸ₯ˆ28 Β· ⭐ 3.3K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 500 Β· πŸ“¦ 2.2K Β· πŸ“‹ 110 - 14% open Β· ⏱️ 11.08.2023): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 520 Β· πŸ“¦ 2.2K Β· πŸ“‹ 120 - 15% open Β· ⏱️ 11.08.2023): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 26K / month): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 27K / month Β· πŸ“¦ 110 Β· ⏱️ 21.04.2022): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 6.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 6.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sumy ```
DeepKE (πŸ₯ˆ28 Β· ⭐ 2.4K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 560 Β· πŸ“¦ 19 Β· πŸ“‹ 320 - 0% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 560 Β· πŸ“¦ 19 Β· πŸ“‹ 320 - 1% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 430 / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 460 / month Β· ⏱️ 21.09.2023): ``` pip install deepke ```
PyTextRank (πŸ₯ˆ28 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 360 Β· πŸ“¦ 470 Β· πŸ“‹ 98 - 7% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 310 Β· πŸ“¦ 480 Β· πŸ“‹ 98 - 7% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 49K / month Β· πŸ“¦ 17 Β· ⏱️ 07.08.2023): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 58K / month): ``` pip install pytextrank ```
qdrant (πŸ₯‰27 Β· ⭐ 13K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 730 Β· πŸ“₯ 1.5K Β· πŸ“‹ 740 - 18% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 740 Β· πŸ“₯ 1.7K Β· πŸ“‹ 760 - 18% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/qdrant/qdrant @@ -1912,7 +2000,7 @@ _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“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/fastnlp) (πŸ“₯ 21K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2022): ``` pip install fastnlp ``` @@ -1924,23 +2012,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/Ciphey/Ciphey ``` -- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 44K / month Β· ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 45K / month Β· ⏱️ 06.06.2021): ``` pip install ciphey ``` -- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 21K Β· ⭐ 14 Β· ⏱️ 11.08.2023): +- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (πŸ“₯ 21K Β· ⭐ 14 Β· ⏱️ 14.10.2023): ``` docker pull remnux/ciphey ```
CLTK (πŸ₯‰26 Β· ⭐ 800 Β· πŸ’€) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 42 Β· πŸ“¦ 250 Β· πŸ“‹ 560 - 6% open Β· ⏱️ 06.03.2023): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 42 Β· πŸ“¦ 250 Β· πŸ“‹ 560 - 7% open Β· ⏱️ 06.03.2023): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 970 / month): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1K / month): ``` pip install cltk ``` @@ -1959,52 +2047,52 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
PyText (πŸ₯‰25 Β· ⭐ 6.4K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 -- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 820 Β· πŸ“₯ 350 Β· πŸ“¦ 18 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 17.10.2022): +- [GitHub](https://github.com/facebookresearch/pytext) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 820 Β· πŸ“₯ 350 Β· πŸ“¦ 19 Β· πŸ“‹ 220 - 66% open Β· ⏱️ 17.10.2022): ``` git clone https://github.com/facebookresearch/pytext ``` -- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): +- [PyPi](https://pypi.org/project/pytext-nlp) (πŸ“₯ 150 / month Β· πŸ“¦ 1 Β· ⏱️ 08.06.2020): ``` pip install pytext-nlp ```
OpenPrompt (πŸ₯‰25 Β· ⭐ 3.8K) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 78 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): +- [GitHub](https://github.com/thunlp/OpenPrompt) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 400 Β· πŸ“¦ 79 Β· πŸ“‹ 240 - 29% open Β· ⏱️ 06.05.2023): ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/openprompt) (πŸ“₯ 2.3K / month Β· πŸ“¦ 2 Β· ⏱️ 06.07.2022): ``` pip install openprompt ```
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scattertext (πŸ₯‰25 Β· ⭐ 2.1K) - Beautiful visualizations of how language differs among document.. Apache-2 +
scattertext (πŸ₯‰25 Β· ⭐ 2.2K) - 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“¦ 430 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 05.09.2023): +- [GitHub](https://github.com/JasonKessler/scattertext) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 280 Β· πŸ“¦ 440 Β· πŸ“‹ 99 - 21% open Β· ⏱️ 05.09.2023): ``` git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 9K / month Β· πŸ“¦ 10 Β· ⏱️ 26.03.2022): +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 9.2K / month Β· πŸ“¦ 10 Β· ⏱️ 26.03.2022): ``` pip install scattertext ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 84K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 85K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge scattertext ```
sense2vec (πŸ₯‰25 Β· ⭐ 1.5K) - Contextually-keyed word vectors. MIT -- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“₯ 59K Β· πŸ“¦ 290 Β· πŸ“‹ 110 - 18% open Β· ⏱️ 20.04.2023): +- [GitHub](https://github.com/explosion/sense2vec) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 240 Β· πŸ“₯ 59K Β· πŸ“¦ 290 Β· πŸ“‹ 110 - 19% open Β· ⏱️ 20.04.2023): ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (πŸ“₯ 1.7K / month Β· πŸ“¦ 13 Β· ⏱️ 19.04.2021): +- [PyPi](https://pypi.org/project/sense2vec) (πŸ“¦ 13 Β· ⏱️ 19.04.2021): ``` pip install sense2vec ``` @@ -2013,6 +2101,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sense2vec ```
+
Texthero (πŸ₯‰24 Β· ⭐ 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT + +- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 230 Β· πŸ“₯ 120 Β· πŸ“‹ 140 - 55% open Β· ⏱️ 29.08.2023): + + ``` + git clone https://github.com/jbesomi/texthero + ``` +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 11K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): + ``` + pip install texthero + ``` +
pytorch-nlp (πŸ₯‰24 Β· ⭐ 2.2K) - Basic Utilities for PyTorch Natural Language Processing (NLP). BSD-3 - [GitHub](https://github.com/PetrochukM/PyTorch-NLP) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 260 Β· πŸ“¦ 580 Β· πŸ“‹ 69 - 27% open Β· ⏱️ 04.07.2023): @@ -2020,33 +2120,33 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/PetrochukM/PyTorch-NLP ``` -- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 4.8K / month): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 4.2K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): ``` pip install pytorch-nlp ```
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Texthero (πŸ₯‰23 Β· ⭐ 2.8K) - Text preprocessing, representation and visualization from zero to hero. MIT +
promptsource (πŸ₯‰24 Β· ⭐ 2.2K) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/jbesomi/texthero) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 230 Β· πŸ“₯ 120 Β· πŸ“‹ 120 - 46% open Β· ⏱️ 29.08.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 290 Β· πŸ“¦ 62 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/jbesomi/texthero + git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 11K / month): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 3.6K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): ``` - pip install texthero + pip install promptsource ```
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promptsource (πŸ₯‰23 Β· ⭐ 2.2K) - Toolkit for creating, sharing and using natural language.. Apache-2 +
T5 (πŸ₯‰23 Β· ⭐ 5.5K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 290 Β· πŸ“¦ 61 Β· πŸ“‹ 190 - 25% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 730 Β· πŸ“‹ 450 - 23% open Β· ⏱️ 02.10.2023): ``` - git clone https://github.com/bigscience-workshop/promptsource + git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 4K / month Β· πŸ“¦ 1 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 17K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` - pip install promptsource + pip install t5 ```
YouTokenToMe (πŸ₯‰23 Β· ⭐ 910 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT @@ -2056,18 +2156,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 39K / month): +- [PyPi](https://pypi.org/project/youtokentome) (πŸ“₯ 36K / month): ``` pip install youtokentome ``` -- [Conda](https://anaconda.org/conda-forge/youtokentome) (πŸ“₯ 37K Β· ⏱️ 27.09.2023): +- [Conda](https://anaconda.org/conda-forge/youtokentome) (πŸ“₯ 38K Β· ⏱️ 27.09.2023): ``` conda install -c conda-forge youtokentome ```
detoxify (πŸ₯‰23 Β· ⭐ 720) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 94 Β· πŸ“₯ 290K Β· πŸ“¦ 410 Β· πŸ“‹ 56 - 57% open Β· ⏱️ 23.08.2023): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 94 Β· πŸ“₯ 290K Β· πŸ“¦ 420 Β· πŸ“‹ 57 - 57% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/unitaryai/detoxify @@ -2077,16 +2177,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install detoxify ```
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T5 (πŸ₯‰22 Β· ⭐ 5.5K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2 +
finetune (πŸ₯‰23 Β· ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0 -- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 720 Β· πŸ“‹ 400 - 14% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 77 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/google-research/text-to-text-transfer-transformer + git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 13K / month): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 230 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` - pip install t5 + pip install finetune ```
jiant (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - jiant is an nlp toolkit. MIT @@ -2096,49 +2196,49 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/nyu-mll/jiant ``` -- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 56 / month Β· ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/jiant) (πŸ“₯ 62 / month Β· ⏱️ 10.05.2021): ``` pip install jiant ```
Sockeye (πŸ₯‰22 Β· ⭐ 1.2K) - Sequence-to-sequence framework with a focus on Neural Machine.. Apache-2 -- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 07.09.2023): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“₯ 17 Β· πŸ“‹ 300 - 0% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 390 / month Β· πŸ“¦ 2 Β· ⏱️ 12.06.2017): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 400 / month Β· πŸ“¦ 2 Β· ⏱️ 12.06.2017): ``` pip install sockeye ```
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finetune (πŸ₯‰22 Β· ⭐ 690) - Scikit-learn style model finetuning for NLP. MPL-2.0 +
small-text (πŸ₯‰22 Β· ⭐ 500) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/IndicoDataSolutions/finetune) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 77 Β· πŸ“¦ 11 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 52 Β· πŸ“¦ 21 Β· πŸ“‹ 41 - 24% open Β· ⏱️ 19.08.2023): ``` - git clone https://github.com/IndicoDataSolutions/finetune + git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 240 / month): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 340 / month Β· ⏱️ 19.08.2023): ``` - pip install finetune + pip install small-text + ``` +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 4.5K Β· ⏱️ 19.08.2023): + ``` + conda install -c conda-forge small-text ```
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small-text (πŸ₯‰22 Β· ⭐ 490) - Active Learning for Text Classification in Python. MIT +
fast-bert (πŸ₯‰21 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 52 Β· πŸ“¦ 21 Β· πŸ“‹ 40 - 22% open Β· ⏱️ 19.08.2023): +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 250 - 62% open Β· ⏱️ 27.07.2023): ``` - git clone https://github.com/webis-de/small-text - ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 310 / month Β· ⏱️ 19.08.2023): - ``` - pip install small-text + git clone https://github.com/utterworks/fast-bert ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 4.5K Β· ⏱️ 19.08.2023): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 27.07.2023): ``` - conda install -c conda-forge small-text + pip install fast-bert ```
lightseq (πŸ₯‰20 Β· ⭐ 2.9K) - LightSeq: A High Performance Library for Sequence Processing and.. Apache-2 @@ -2148,7 +2248,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 3K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 1.7K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` pip install lightseq ``` @@ -2160,21 +2260,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IntelLabs/nlp-architect ``` -- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 83 / month): +- [PyPi](https://pypi.org/project/nlp-architect) (πŸ“₯ 71 / month): ``` pip install nlp-architect ```
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fast-bert (πŸ₯‰20 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 +
UForm (πŸ₯‰19 Β· ⭐ 430) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2 -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 330 Β· πŸ“‹ 250 - 61% open Β· ⏱️ 27.07.2023): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 20 Β· πŸ“¦ 7 Β· ⏱️ 13.10.2023): ``` - git clone https://github.com/utterworks/fast-bert + git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1K / month): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 900 / month Β· ⏱️ 13.10.2023): ``` - pip install fast-bert + pip install uform ```
textaugment (πŸ₯‰19 Β· ⭐ 340) - TextAugment: Text Augmentation Library. MIT @@ -2184,23 +2284,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.6K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 3.5K / month Β· πŸ“¦ 4 Β· ⏱️ 05.11.2020): ``` pip install textaugment ```
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UForm (πŸ₯‰18 Β· ⭐ 420) - Multi-Modal AI library for Multi-Lingual Text, Image, and Video.. Apache-2 - -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 20 Β· πŸ“¦ 6 Β· ⏱️ 20.09.2023): - - ``` - git clone https://github.com/unum-cloud/uform - ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 550 / month Β· ⏱️ 20.09.2023): - ``` - pip install uform - ``` -
OpenNRE (πŸ₯‰16 Β· ⭐ 4.1K Β· πŸ’€) - An Open-Source Package for Neural Relation Extraction (NRE). MIT - [GitHub](https://github.com/thunlp/OpenNRE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 1K Β· πŸ“‹ 360 - 2% open Β· ⏱️ 03.01.2023): @@ -2209,49 +2297,47 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we git clone https://github.com/thunlp/OpenNRE ```
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TextBox (πŸ₯‰16 Β· ⭐ 1K) - TextBox 2.0 is a text generation library with pre-trained language models. MIT +
TextBox (πŸ₯‰15 Β· ⭐ 1K) - 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”€ 120 Β· πŸ“¦ 5 Β· πŸ“‹ 70 - 4% open Β· ⏱️ 18.05.2023): ``` git clone https://github.com/RUCAIBox/TextBox ``` -- [PyPi](https://pypi.org/project/textbox) (⏱️ 15.04.2021): +- [PyPi](https://pypi.org/project/textbox) (πŸ“₯ 1 / month Β· ⏱️ 15.04.2021): ``` pip install textbox ```
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VizSeq (πŸ₯‰12 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT +
VizSeq (πŸ₯‰14 Β· ⭐ 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT -- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 7 Β· πŸ“‹ 15 - 40% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/facebookresearch/vizseq) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 57 Β· πŸ“¦ 7 Β· πŸ“‹ 16 - 43% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 33 / month): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 39 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ```
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Show 41 hidden projects... +
Show 39 hidden projects... -- flair (πŸ₯‡36 Β· ⭐ 13K) - A very simple framework for state-of-the-art Natural Language.. ❗Unlicensed - ChatterBot (πŸ₯ˆ35 Β· ⭐ 14K Β· πŸ’€) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 - fuzzywuzzy (πŸ₯ˆ33 Β· ⭐ 9K Β· πŸ’€) - Fuzzy String Matching in Python. ❗️GPL-2.0 -- stanza (πŸ₯ˆ33 Β· ⭐ 6.8K) - Stanford NLP Python library for tokenization, sentence.. ❗Unlicensed - nlpaug (πŸ₯ˆ29 Β· ⭐ 4.1K Β· πŸ’€) - Data augmentation for NLP. MIT - textacy (πŸ₯ˆ29 Β· ⭐ 2.1K) - NLP, before and after spaCy. ❗Unlicensed +- langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 - underthesea (πŸ₯ˆ28 Β· ⭐ 1.2K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 - flashtext (πŸ₯‰27 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - vaderSentiment (πŸ₯‰27 Β· ⭐ 4.1K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT +- polyglot (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - FARM (πŸ₯‰27 Β· ⭐ 1.7K Β· πŸ’€) - Fast & easy transfer learning for NLP. Harvesting language.. Apache-2 - Snips NLU (πŸ₯‰25 Β· ⭐ 3.8K Β· πŸ’€) - Snips Python library to extract meaning from text. Apache-2 - neuralcoref (πŸ₯‰25 Β· ⭐ 2.8K Β· πŸ’€) - Fast Coreference Resolution in spaCy with Neural Networks. MIT -- pySBD (πŸ₯‰25 Β· ⭐ 660 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +- pySBD (πŸ₯‰25 Β· ⭐ 670 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - whoosh (πŸ₯‰25 Β· ⭐ 460 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 -- polyglot (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗Unlicensed -- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗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 - DeepMatcher (πŸ₯‰22 Β· ⭐ 4.8K Β· πŸ’€) - Python package for performing Entity and Text Matching using.. BSD-3 @@ -2262,20 +2348,20 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - anaGo (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT - pyfasttext (πŸ₯‰20 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - numerizer (πŸ₯‰20 Β· ⭐ 210) - A Python module to convert natural language numerics into ints and.. MIT -- fastT5 (πŸ₯‰18 Β· ⭐ 500 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 +- NeuroNER (πŸ₯‰17 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (πŸ₯‰17 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 +- fastT5 (πŸ₯‰17 Β· ⭐ 500 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - 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 - textpipe (πŸ₯‰16 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT -- NeuroNER (πŸ₯‰15 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 800 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 -- Headliner (πŸ₯‰14 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. MIT +- 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· ⭐ 240 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₯‰13 Β· ⭐ 190 Β· πŸ’€) - Text vectorization tool to outperform TFIDF for classification.. MIT -- spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 91 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy +- spacy-dbpedia-spotlight (πŸ₯‰12 Β· ⭐ 92 Β· πŸ’€) - A spaCy wrapper for DBpedia Spotlight. MIT spacy +- Headliner (πŸ₯‰10 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed

@@ -2287,28 +2373,44 @@ _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’» 450 Β· πŸ”€ 1.9K Β· πŸ“¦ 1.4M Β· πŸ“‹ 2.9K - 2% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 1.9K Β· πŸ“¦ 1.4M Β· πŸ“‹ 2.9K - 2% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 66M / month): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 69M / month): ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 34M Β· ⏱️ 03.10.2023): +- [Conda](https://anaconda.org/conda-forge/pillow) (πŸ“₯ 34M Β· ⏱️ 16.10.2023): ``` conda install -c conda-forge pillow ```
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PyTorch Image Models (πŸ₯‡40 Β· ⭐ 27K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 +
torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 + +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 6.8K Β· πŸ“₯ 32K Β· πŸ“¦ 19 Β· πŸ“‹ 3.2K - 29% open Β· ⏱️ 18.10.2023): + + ``` + git clone https://github.com/pytorch/vision + ``` +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 8.7M / month Β· πŸ“¦ 4.7K Β· ⏱️ 04.10.2023): + ``` + pip install torchvision + ``` +- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 890K Β· ⏱️ 02.10.2023): + ``` + conda install -c conda-forge torchvision + ``` +
+
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 27K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 4.2K Β· πŸ“₯ 5.6M Β· πŸ“¦ 17K Β· πŸ“‹ 810 - 8% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 4.3K Β· πŸ“₯ 5.6M Β· πŸ“¦ 17K Β· πŸ“‹ 810 - 8% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.4M / month): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 3.3M / month Β· πŸ“¦ 290 Β· ⏱️ 02.09.2023): ``` pip install timm ``` @@ -2329,30 +2431,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install mmdet ```
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torchvision (πŸ₯‡38 Β· ⭐ 15K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 - -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 560 Β· πŸ”€ 6.6K Β· πŸ“₯ 32K Β· πŸ“¦ 18 Β· πŸ“‹ 3K - 24% open Β· ⏱️ 11.10.2023): - - ``` - git clone https://github.com/pytorch/vision - ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 8.1M / month): - ``` - pip install torchvision - ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (πŸ“₯ 880K Β· ⏱️ 02.10.2023): - ``` - conda install -c conda-forge torchvision - ``` -
Kornia (πŸ₯‡38 Β· ⭐ 8.7K) - Computer Vision and Robotics Library for AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 870 Β· πŸ“₯ 840 Β· πŸ“¦ 6.6K Β· πŸ“‹ 840 - 29% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 870 Β· πŸ“₯ 840 Β· πŸ“¦ 6.7K Β· πŸ“‹ 840 - 29% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2.1M / month Β· πŸ“¦ 110 Β· ⏱️ 02.08.2023): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 2M / month Β· πŸ“¦ 110 Β· ⏱️ 02.08.2023): ``` pip install kornia ``` @@ -2363,23 +2449,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well
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’» 110 Β· πŸ”€ 270 Β· πŸ“₯ 860 Β· πŸ“¦ 100K Β· πŸ“‹ 570 - 15% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 270 Β· πŸ“₯ 870 Β· πŸ“¦ 100K Β· πŸ“‹ 570 - 16% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 17M / month): +- [PyPi](https://pypi.org/project/imageio) (πŸ“₯ 18M / month Β· πŸ“¦ 3K Β· ⏱️ 02.10.2023): ``` pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 5.7M Β· ⏱️ 09.10.2023): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 5.8M Β· ⏱️ 09.10.2023): ``` conda install -c conda-forge imageio ```
MoviePy (πŸ₯ˆ37 Β· ⭐ 11K) - Video editing with Python. MIT -- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 29K Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/Zulko/moviepy) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 1.4K Β· πŸ“¦ 30K Β· πŸ“‹ 1.4K - 25% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/Zulko/moviepy @@ -2400,7 +2486,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 990K / month): +- [PyPi](https://pypi.org/project/albumentations) (πŸ“₯ 1M / month): ``` pip install albumentations ``` @@ -2411,7 +2497,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
detectron2 (πŸ₯ˆ34 Β· ⭐ 27K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 6.7K Β· πŸ“¦ 1.4K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 6.7K Β· πŸ“¦ 1.4K Β· πŸ“‹ 3.4K - 10% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/facebookresearch/detectron2 @@ -2427,23 +2513,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Wand (πŸ₯ˆ34 Β· ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 26K Β· πŸ“¦ 17K Β· πŸ“‹ 410 - 5% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/emcconville/wand) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 200 Β· πŸ“₯ 27K Β· πŸ“¦ 17K Β· πŸ“‹ 410 - 5% open Β· ⏱️ 21.09.2023): ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 820K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 850K / month Β· πŸ“¦ 710 Β· ⏱️ 05.01.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 31K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 32K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
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PaddleSeg (πŸ₯ˆ32 Β· ⭐ 7.6K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 +
PaddleSeg (πŸ₯ˆ33 Β· ⭐ 7.7K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.5K Β· πŸ“¦ 1K Β· πŸ“‹ 1.9K - 16% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1K Β· πŸ“‹ 1.9K - 16% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/PaddlePaddle/PaddleSeg @@ -2453,64 +2539,64 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install paddleseg ```
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doctr (πŸ₯ˆ32 Β· ⭐ 2.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +
opencv-python (πŸ₯ˆ33 Β· ⭐ 3.8K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 280 Β· πŸ“₯ 1.9M Β· πŸ“¦ 200 Β· πŸ“‹ 270 - 14% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 740 Β· πŸ“‹ 710 - 10% open Β· ⏱️ 18.10.2023): ``` - git clone https://github.com/mindee/doctr + git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 12K / month Β· πŸ“¦ 3 Β· ⏱️ 09.09.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 11M / month Β· πŸ“¦ 11K Β· ⏱️ 28.09.2023): ``` - pip install python-doctr + pip install opencv-python ```
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deepface (πŸ₯ˆ31 Β· ⭐ 7.6K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
PaddleDetection (πŸ₯ˆ31 Β· ⭐ 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“¦ 2K Β· πŸ“‹ 780 - 1% open Β· ⏱️ 01.10.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.7K Β· πŸ“¦ 110 Β· πŸ“‹ 5.1K - 24% open Β· ⏱️ 27.09.2023): ``` - git clone https://github.com/serengil/deepface + git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 43K / month Β· πŸ“¦ 14 Β· ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 640 / month): ``` - pip install deepface + pip install paddledet ```
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lightly (πŸ₯ˆ31 Β· ⭐ 2.5K) - A python library for self-supervised learning on images. MIT +
deepface (πŸ₯ˆ31 Β· ⭐ 7.7K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 170 Β· πŸ“‹ 470 - 18% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 1.5K Β· πŸ“¦ 2K Β· πŸ“‹ 780 - 1% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/lightly-ai/lightly + git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 36K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/deepface) (πŸ“₯ 57K / month Β· πŸ“¦ 14 Β· ⏱️ 24.01.2023): ``` - pip install lightly + pip install deepface ```
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vit-pytorch (πŸ₯ˆ30 Β· ⭐ 15K) - Implementation of Vision Transformer, a simple way to achieve.. MIT +
doctr (πŸ₯ˆ31 Β· ⭐ 2.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.5K Β· πŸ“¦ 320 Β· πŸ“‹ 240 - 46% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 280 Β· πŸ“₯ 1.9M Β· πŸ“¦ 200 Β· πŸ“‹ 280 - 14% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/lucidrains/vit-pytorch + git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 13K / month Β· πŸ“¦ 3 Β· ⏱️ 09.09.2023): ``` - pip install vit-pytorch + pip install python-doctr ```
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PaddleDetection (πŸ₯ˆ30 Β· ⭐ 11K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 16K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.7K Β· πŸ“¦ 110 Β· πŸ“‹ 5.1K - 24% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.5K Β· πŸ“¦ 320 Β· πŸ“‹ 240 - 46% open Β· ⏱️ 13.10.2023): ``` - git clone https://github.com/PaddlePaddle/PaddleDetection + git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 690 / month): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 17K / month Β· πŸ“¦ 6 Β· ⏱️ 13.10.2023): ``` - pip install paddledet + pip install vit-pytorch ```
vidgear (πŸ₯ˆ30 Β· ⭐ 3K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 @@ -2520,19 +2606,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 16K / month Β· πŸ“¦ 9 Β· ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/vidgear) (πŸ“₯ 13K / month Β· πŸ“¦ 9 Β· ⏱️ 10.09.2023): ``` pip install vidgear ```
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ImageHash (πŸ₯ˆ30 Β· ⭐ 2.8K) - A Python Perceptual Image Hashing Module. BSD-2 +
ImageHash (πŸ₯ˆ30 Β· ⭐ 2.9K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 11K Β· πŸ“‹ 120 - 5% open Β· ⏱️ 05.08.2023): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 11K Β· πŸ“‹ 130 - 7% open Β· ⏱️ 05.08.2023): ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.4M / month): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.4M / month Β· πŸ“¦ 380 Β· ⏱️ 28.09.2022): ``` pip install ImageHash ``` @@ -2541,14 +2627,26 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge imagehash ```
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lightly (πŸ₯ˆ30 Β· ⭐ 2.6K) - A python library for self-supervised learning on images. MIT + +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 170 Β· πŸ“‹ 470 - 18% open Β· ⏱️ 19.10.2023): + + ``` + git clone https://github.com/lightly-ai/lightly + ``` +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 55K / month Β· πŸ“¦ 5 Β· ⏱️ 04.10.2023): + ``` + pip install lightly + ``` +
imageai (πŸ₯ˆ29 Β· ⭐ 8.1K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 880K Β· πŸ“¦ 1.4K Β· πŸ“‹ 730 - 38% open Β· ⏱️ 26.08.2023): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.1K Β· πŸ“₯ 890K Β· πŸ“¦ 1.5K Β· πŸ“‹ 730 - 38% open Β· ⏱️ 26.08.2023): ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 6.6K / month): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 7.1K / month): ``` pip install imageai ``` @@ -2559,64 +2657,64 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Face Alignment (πŸ₯ˆ29 Β· ⭐ 6.5K) - 2D and 3D Face alignment library build using pytorch. BSD-3 -- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 18 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 16.08.2023): +- [GitHub](https://github.com/1adrianb/face-alignment) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 1.3K Β· πŸ“¦ 19 Β· πŸ“‹ 310 - 24% open Β· ⏱️ 16.08.2023): ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 50K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 54K / month Β· πŸ“¦ 10 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ```
GluonCV (πŸ₯‰28 Β· ⭐ 5.6K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 -- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 18 Β· πŸ“‹ 840 - 7% open Β· ⏱️ 19.01.2023): +- [GitHub](https://github.com/dmlc/gluon-cv) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.2K Β· πŸ“¦ 19 Β· πŸ“‹ 840 - 7% open Β· ⏱️ 19.01.2023): ``` git clone https://github.com/dmlc/gluon-cv ``` -- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 48K / month Β· πŸ“¦ 61 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/gluoncv) (πŸ“₯ 49K / month Β· πŸ“¦ 61 Β· ⏱️ 07.07.2022): ``` pip install gluoncv ```
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CellProfiler (πŸ₯‰28 Β· ⭐ 800) - An open-source application for biological image analysis. BSD-3 +
CellProfiler (πŸ₯‰28 Β· ⭐ 810) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 5.9K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 360 Β· πŸ“₯ 6K Β· πŸ“¦ 20 Β· πŸ“‹ 3.2K - 8% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 550 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 590 / month Β· πŸ“¦ 1 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ```
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opencv-python (πŸ₯‰27 Β· ⭐ 3.8K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
Augmentor (πŸ₯‰27 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 720 Β· πŸ“‹ 700 - 9% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 870 Β· πŸ“¦ 660 Β· πŸ“‹ 210 - 64% open Β· ⏱️ 29.03.2023): ``` - git clone https://github.com/opencv/opencv-python + git clone https://github.com/mdbloice/Augmentor ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 11M / month): +- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 11K / month Β· πŸ“¦ 29 Β· ⏱️ 27.04.2022): ``` - pip install opencv-python + pip install Augmentor ```
sahi (πŸ₯‰27 Β· ⭐ 3.1K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 450 Β· πŸ“₯ 19K Β· πŸ“¦ 670 Β· ⏱️ 26.08.2023): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 460 Β· πŸ“₯ 19K Β· πŸ“¦ 680 Β· ⏱️ 26.08.2023): ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 130K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 120K / month Β· πŸ“¦ 9 Β· ⏱️ 25.06.2022): ``` pip install sahi ``` -- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 49K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 50K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sahi ``` @@ -2628,7 +2726,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 9.1K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 8.3K / month Β· πŸ“¦ 130 Β· ⏱️ 28.06.2022): ``` pip install mahotas ``` @@ -2644,7 +2742,7 @@ _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“₯ 25K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/facenet-pytorch) (πŸ“₯ 27K / month Β· πŸ“¦ 19 Β· ⏱️ 10.03.2021): ``` pip install facenet-pytorch ``` @@ -2656,35 +2754,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 93K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 84K / month Β· πŸ“¦ 7 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ```
Norfair (πŸ₯‰25 Β· ⭐ 2.2K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 -- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 210 Β· πŸ“₯ 290 Β· πŸ“¦ 130 Β· πŸ“‹ 130 - 4% open Β· ⏱️ 15.05.2023): +- [GitHub](https://github.com/tryolabs/norfair) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 220 Β· πŸ“₯ 290 Β· πŸ“¦ 130 Β· πŸ“‹ 130 - 4% open Β· ⏱️ 15.05.2023): ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 5.4K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 5.7K / month Β· πŸ“¦ 3 Β· ⏱️ 30.05.2022): ``` pip install norfair ```
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Augmentor (πŸ₯‰24 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - -- [GitHub](https://github.com/mdbloice/Augmentor) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 840 Β· πŸ“¦ 650 Β· πŸ“‹ 190 - 61% open Β· ⏱️ 29.03.2023): - - ``` - git clone https://github.com/mdbloice/Augmentor - ``` -- [PyPi](https://pypi.org/project/Augmentor) (πŸ“₯ 11K / month): - ``` - pip install Augmentor - ``` -
Image Deduplicator (πŸ₯‰24 Β· ⭐ 4.7K) - Finding duplicate images made easy!. Apache-2 - [GitHub](https://github.com/idealo/imagededup) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 420 Β· πŸ“¦ 64 Β· πŸ“‹ 140 - 35% open Β· ⏱️ 28.04.2023): @@ -2692,26 +2778,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/idealo/imagededup ``` -- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 2.2K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): +- [PyPi](https://pypi.org/project/imagededup) (πŸ“₯ 3.6K / month Β· πŸ“¦ 5 Β· ⏱️ 28.04.2023): ``` pip install imagededup ```
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kubric (πŸ₯‰24 Β· ⭐ 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2 - -- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 180 Β· πŸ“¦ 3 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 12.10.2023): - - ``` - git clone https://github.com/google-research/kubric - ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 5.2K / month Β· ⏱️ 12.10.2023): - ``` - pip install kubric-nightly - ``` -
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pyvips (πŸ₯‰24 Β· ⭐ 540) - python binding for libvips using cffi. MIT +
pyvips (πŸ₯‰24 Β· ⭐ 550) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 48 Β· πŸ“¦ 600 Β· πŸ“‹ 380 - 41% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 48 Β· πŸ“¦ 600 Β· πŸ“‹ 380 - 40% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/libvips/pyvips @@ -2727,16 +2801,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
MMF (πŸ₯‰23 Β· ⭐ 5.3K) - 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· ⏱️ 10.10.2023): +- [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 880 Β· πŸ“¦ 14 Β· πŸ“‹ 780 - 30% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 210 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 190 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
+
kubric (πŸ₯‰23 Β· ⭐ 2K) - A data generation pipeline for creating semi-realistic synthetic multi-.. Apache-2 + +- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 180 Β· πŸ“¦ 3 Β· πŸ“‹ 180 - 30% open Β· ⏱️ 16.10.2023): + + ``` + git clone https://github.com/google-research/kubric + ``` +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 4.9K / month): + ``` + pip install kubric-nightly + ``` +
icevision (πŸ₯‰23 Β· ⭐ 830 Β· πŸ’€) - An Agnostic Computer Vision Framework - Pluggable to any.. Apache-2 - [GitHub](https://github.com/airctic/icevision) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 140 Β· πŸ“‹ 570 - 10% open Β· ⏱️ 07.12.2022): @@ -2744,7 +2830,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 5.1K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (πŸ“₯ 4.6K / month Β· πŸ“¦ 6 Β· ⏱️ 10.02.2022): ``` pip install icevision ``` @@ -2756,7 +2842,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 200 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 220 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2768,19 +2854,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 4.5K / month Β· πŸ“¦ 8 Β· ⏱️ 03.12.2021): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 4.7K / month Β· πŸ“¦ 8 Β· ⏱️ 03.12.2021): ``` pip install tensorflow-graphics ```
ffcv (πŸ₯‰22 Β· ⭐ 2.6K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 31 Β· πŸ“‹ 250 - 34% open Β· ⏱️ 24.08.2023): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 160 Β· πŸ“¦ 32 Β· πŸ“‹ 250 - 34% open Β· ⏱️ 24.08.2023): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 980 / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 950 / month): ``` pip install ffcv ``` @@ -2792,7 +2878,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2.2K / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2023): +- [PyPi](https://pypi.org/project/classy_vision) (πŸ“₯ 2.3K / month Β· πŸ“¦ 4 Β· ⏱️ 21.03.2023): ``` pip install classy_vision ``` @@ -2803,62 +2889,62 @@ _Libraries for image & video processing, manipulation, and augmentation as well
DEβ«ΆTR (πŸ₯‰21 Β· ⭐ 12K Β· πŸ’€) - End-to-End Object Detection with Transformers. Apache-2 -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2.1K Β· πŸ“¦ 18 Β· πŸ“‹ 510 - 44% open Β· ⏱️ 07.02.2023): +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 2.1K Β· πŸ“¦ 19 Β· πŸ“‹ 510 - 44% open Β· ⏱️ 07.02.2023): ``` git clone https://github.com/facebookresearch/detr ```
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pycls (πŸ₯‰21 Β· ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT +
PySlowFast (πŸ₯‰19 Β· ⭐ 6K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 16 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 26.08.2023): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 14 Β· πŸ“‹ 630 - 56% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/facebookresearch/pycls + git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 49K / month): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 11 / month): ``` - pip install pycls + pip install pyslowfast ```
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image-match (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. Apache-2 +
scenic (πŸ₯‰19 Β· ⭐ 2.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. 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/google-research/scenic) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 350 Β· πŸ“‹ 250 - 58% open Β· ⏱️ 18.10.2023): ``` - git clone https://github.com/ProvenanceLabs/image-match - ``` -- [PyPi](https://pypi.org/project/image_match) (πŸ“₯ 680 / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2017): - ``` - pip install image_match + git clone https://github.com/google-research/scenic ```
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PySlowFast (πŸ₯‰19 Β· ⭐ 5.9K) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 +
pycls (πŸ₯‰19 Β· ⭐ 2.1K) - Codebase for Image Classification Research, written in PyTorch. MIT -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.1K Β· πŸ“¦ 14 Β· πŸ“‹ 630 - 56% open Β· ⏱️ 26.08.2023): +- [GitHub](https://github.com/facebookresearch/pycls) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 230 Β· πŸ“¦ 16 Β· πŸ“‹ 80 - 30% open Β· ⏱️ 26.08.2023): ``` - git clone https://github.com/facebookresearch/SlowFast + git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 11 / month): +- [PyPi](https://pypi.org/project/pycls) (πŸ“₯ 690 / month): ``` - pip install pyslowfast + pip install pycls ```
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scenic (πŸ₯‰19 Β· ⭐ 2.5K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 +
Caer (πŸ₯‰18 Β· ⭐ 720) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 340 Β· πŸ“‹ 250 - 58% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/jasmcaus/caer) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 110 Β· πŸ“₯ 28 Β· πŸ“‹ 15 - 13% open Β· ⏱️ 01.04.2023): ``` - git clone https://github.com/google-research/scenic + git clone https://github.com/jasmcaus/caer + ``` +- [PyPi](https://pypi.org/project/caer) (πŸ“₯ 2.8K / month Β· πŸ“¦ 2 Β· ⏱️ 13.10.2021): + ``` + pip install caer ```
Show 21 hidden projects... - scikit-image (πŸ₯‡42 Β· ⭐ 5.6K) - Image processing in Python. ❗Unlicensed -- glfw (πŸ₯ˆ35 Β· ⭐ 11K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib +- glfw (πŸ₯ˆ35 Β· ⭐ 11K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (πŸ₯ˆ34 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- InsightFace (πŸ₯ˆ33 Β· ⭐ 18K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed +- InsightFace (πŸ₯ˆ33 Β· ⭐ 19K) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed - Face Recognition (πŸ₯ˆ31 Β· ⭐ 50K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT - PyTorch3D (πŸ₯ˆ29 Β· ⭐ 7.7K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (πŸ₯ˆ29 Β· ⭐ 4.4K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT @@ -2873,7 +2959,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well - nude.py (πŸ₯‰21 Β· ⭐ 920 Β· πŸ’€) - Nudity detection with Python. MIT - detecto (πŸ₯‰20 Β· ⭐ 600 Β· πŸ’€) - Build fully-functioning computer vision models with PyTorch. MIT - solt (πŸ₯‰18 Β· ⭐ 260 Β· πŸ’€) - Streaming over lightweight data transformations. MIT -- Caer (πŸ₯‰17 Β· ⭐ 720 Β· πŸ’€) - A lightweight Computer Vision library. Scale your models, not boilerplate. MIT +- image-match (πŸ₯‰17 Β· ⭐ 2.9K Β· πŸ’€) - Quickly search over billions of images. ❗Unlicensed - HugsVision (πŸ₯‰16 Β· ⭐ 180 Β· πŸ’€) - HugsVision is a easy to use huggingface wrapper for state-of-.. MIT huggingface - Torch Points 3D (πŸ₯‰16 Β· ⭐ 160 Β· πŸ’€) - Pytorch framework for doing deep learning on point.. BSD-3
@@ -2885,42 +2971,42 @@ _Libraries for image & video processing, manipulation, and augmentation as well _Libraries for graph processing, clustering, embedding, and machine learning tasks._ -
networkx (πŸ₯‡43 Β· ⭐ 13K) - Network Analysis in Python. BSD-3 +
networkx (πŸ₯‡44 Β· ⭐ 13K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 3.1K Β· πŸ“₯ 65 Β· πŸ“¦ 190K Β· πŸ“‹ 3.3K - 12% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 680 Β· πŸ”€ 3.1K Β· πŸ“₯ 65 Β· πŸ“¦ 190K Β· πŸ“‹ 3.3K - 11% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 28M / month Β· πŸ“¦ 15K Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 28M / month Β· πŸ“¦ 15K Β· ⏱️ 19.10.2023): ``` pip install networkx ``` -- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 14M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/networkx) (πŸ“₯ 14M Β· ⏱️ 19.10.2023): ``` conda install -c conda-forge networkx ```
dgl (πŸ₯‡39 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’» 280 Β· πŸ”€ 2.9K Β· πŸ“¦ 150 Β· πŸ“‹ 2.5K - 16% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 2.9K Β· πŸ“¦ 160 Β· πŸ“‹ 2.5K - 16% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 66K / month Β· πŸ“¦ 76 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/dgl) (πŸ“₯ 62K / month Β· πŸ“¦ 76 Β· ⏱️ 30.08.2023): ``` pip install dgl ```
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PyTorch Geometric (πŸ₯‡38 Β· ⭐ 19K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT +
PyTorch Geometric (πŸ₯‡35 Β· ⭐ 19K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3.3K Β· πŸ“‹ 3.3K - 25% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 3.3K Β· πŸ“‹ 3.2K - 23% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 200K / month Β· πŸ“¦ 110 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 210K / month): ``` pip install torch-geometric ``` @@ -2929,32 +3015,32 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge pytorch_geometric ```
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ogb (πŸ₯‡29 Β· ⭐ 1.8K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT +
pygraphistry (πŸ₯ˆ29 Β· ⭐ 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1.1K Β· πŸ“‹ 290 - 6% open Β· ⏱️ 10.06.2023): +- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 200 Β· πŸ“¦ 100 Β· πŸ“‹ 300 - 50% open Β· ⏱️ 13.10.2023): ``` - git clone https://github.com/snap-stanford/ogb - ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 38K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): - ``` - pip install ogb + git clone https://github.com/graphistry/pygraphistry ``` -- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 28K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 2.3K / month Β· πŸ“¦ 5 Β· ⏱️ 13.10.2023): ``` - conda install -c conda-forge ogb + pip install graphistry ```
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pygraphistry (πŸ₯ˆ28 Β· ⭐ 1.9K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 +
ogb (πŸ₯ˆ29 Β· ⭐ 1.8K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/graphistry/pygraphistry) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 200 Β· πŸ“¦ 100 Β· πŸ“‹ 290 - 49% open Β· ⏱️ 16.09.2023): +- [GitHub](https://github.com/snap-stanford/ogb) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 400 Β· πŸ“¦ 1.1K Β· πŸ“‹ 290 - 6% open Β· ⏱️ 10.06.2023): ``` - git clone https://github.com/graphistry/pygraphistry + git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 07.09.2023): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 24K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` - pip install graphistry + pip install ogb + ``` +- [Conda](https://anaconda.org/conda-forge/ogb) (πŸ“₯ 29K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge ogb ```
Paddle Graph Learning (πŸ₯ˆ28 Β· ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 @@ -2964,7 +3050,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.6K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): ``` pip install pgl ``` @@ -2976,67 +3062,55 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 4.6K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 4.5K / month Β· πŸ“¦ 6 Β· ⏱️ 01.06.2023): ``` pip install spektral ```
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PyKEEN (πŸ₯ˆ26 Β· ⭐ 1.4K) - A Python library for learning and evaluating knowledge graph embeddings. MIT - -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 170 Β· πŸ“₯ 180 Β· πŸ“‹ 540 - 20% open Β· ⏱️ 07.10.2023): - - ``` - git clone https://github.com/pykeen/pykeen - ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 3.4K / month Β· πŸ“¦ 5 Β· ⏱️ 22.02.2023): - ``` - pip install pykeen - ``` -
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pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.2K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT +
pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.3K) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 310 Β· πŸ“‹ 170 - 8% open Β· ⏱️ 01.07.2023): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 320 Β· πŸ“‹ 170 - 8% open Β· ⏱️ 01.07.2023): ``` git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 1.8K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 1.7K / month Β· πŸ“¦ 4 Β· ⏱️ 04.09.2022): ``` pip install torch-geometric-temporal ```
AmpliGraph (πŸ₯ˆ25 Β· ⭐ 2K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“¦ 44 Β· πŸ“‹ 220 - 14% open Β· ⏱️ 12.07.2023): +- [GitHub](https://github.com/Accenture/AmpliGraph) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“¦ 44 Β· πŸ“‹ 220 - 13% open Β· ⏱️ 12.07.2023): ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 670 / month Β· ⏱️ 25.05.2021): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 660 / month): ``` pip install ampligraph ```
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PyTorch-BigGraph (πŸ₯ˆ24 Β· ⭐ 3.3K) - Generate embeddings from large-scale graph-structured.. BSD-3 +
PyKEEN (πŸ₯ˆ25 Β· ⭐ 1.4K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/facebookresearch/PyTorch-BigGraph) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 430 Β· πŸ“₯ 160 Β· πŸ“‹ 190 - 29% open Β· ⏱️ 25.08.2023): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 170 Β· πŸ“₯ 180 Β· πŸ“‹ 510 - 16% open Β· ⏱️ 07.10.2023): ``` - git clone https://github.com/facebookresearch/PyTorch-BigGraph + git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 320K / month Β· πŸ“¦ 3 Β· ⏱️ 01.05.2019): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 3.7K / month): ``` - pip install torchbiggraph + pip install pykeen ```
Node2Vec (πŸ₯ˆ24 Β· ⭐ 1.1K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 230 Β· πŸ“¦ 480 Β· πŸ“‹ 90 - 3% open Β· ⏱️ 29.08.2023): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 220 Β· πŸ“¦ 490 Β· πŸ“‹ 90 - 3% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 65K / month Β· πŸ“¦ 18 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 64K / month): ``` pip install node2vec ``` @@ -3045,44 +3119,32 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ```
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torch-cluster (πŸ₯ˆ24 Β· ⭐ 700 Β· πŸ“ˆ) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
graph4nlp (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 130 Β· πŸ“‹ 140 - 17% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/graph4ai/graph4nlp) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 190 Β· πŸ“‹ 170 - 6% open Β· ⏱️ 13.11.2022): ``` - git clone https://github.com/rusty1s/pytorch_cluster - ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 10K / month Β· πŸ“¦ 44 Β· ⏱️ 12.10.2023): - ``` - pip install torch-cluster + git clone https://github.com/graph4ai/graph4nlp ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 80K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 75 / month Β· ⏱️ 20.01.2022): ``` - conda install -c conda-forge pytorch_cluster + pip install graph4nlp ```
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graph-nets (πŸ₯‰21 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 +
torch-cluster (πŸ₯‰21 Β· ⭐ 700 Β· πŸ“‰) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/google-deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 780 Β· πŸ“¦ 18 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 12.12.2022): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 120 Β· πŸ“‹ 140 - 15% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/deepmind/graph_nets - ``` -- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 820 / month Β· πŸ“¦ 8 Β· ⏱️ 29.01.2020): - ``` - pip install graph-nets + git clone https://github.com/rusty1s/pytorch_cluster ``` -
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graph4nlp (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 - -- [GitHub](https://github.com/graph4ai/graph4nlp) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 190 Β· πŸ“‹ 170 - 6% open Β· ⏱️ 13.11.2022): - +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 11K / month): ``` - git clone https://github.com/graph4ai/graph4nlp + pip install torch-cluster ``` -- [PyPi](https://pypi.org/project/graph4nlp) (πŸ“₯ 80 / month Β· ⏱️ 20.01.2022): +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 80K Β· ⏱️ 18.10.2023): ``` - pip install graph4nlp + conda install -c conda-forge pytorch_cluster ```
deepsnap (πŸ₯‰20 Β· ⭐ 500 Β· πŸ’€) - Python library assists deep learning on graphs. MIT @@ -3092,33 +3154,33 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 540 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/deepsnap) (πŸ“₯ 460 / month Β· πŸ“¦ 1 Β· ⏱️ 05.09.2021): ``` pip install deepsnap ```
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GraphGym (πŸ₯‰18 Β· ⭐ 1.5K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT +
graph-nets (πŸ₯‰19 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 -- [GitHub](https://github.com/snap-stanford/GraphGym) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 160 Β· πŸ“₯ 26 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 14.03.2023): +- [GitHub](https://github.com/google-deepmind/graph_nets) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 770 Β· πŸ“¦ 18 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 12.12.2022): ``` - git clone https://github.com/snap-stanford/GraphGym + git clone https://github.com/deepmind/graph_nets ``` -- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 84 / month Β· ⏱️ 24.03.2022): +- [PyPi](https://pypi.org/project/graph-nets) (πŸ“₯ 880 / month): ``` - pip install graphgym + pip install graph-nets ```
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AutoGL (πŸ₯‰16 Β· ⭐ 960 Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 +
GraphGym (πŸ₯‰18 Β· ⭐ 1.5K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT -- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 30.12.2022): +- [GitHub](https://github.com/snap-stanford/GraphGym) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 160 Β· πŸ“₯ 26 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 14.03.2023): ``` - git clone https://github.com/THUMNLab/AutoGL + git clone https://github.com/snap-stanford/GraphGym ``` -- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 3 / month Β· ⏱️ 23.12.2020): +- [PyPi](https://pypi.org/project/graphgym) (πŸ“₯ 73 / month Β· ⏱️ 24.03.2022): ``` - pip install auto-graph-learning + pip install graphgym ```
kglib (πŸ₯‰16 Β· ⭐ 550 Β· πŸ’€) - TypeDB-ML is the Machine Learning integrations library for TypeDB. Apache-2 @@ -3128,43 +3190,49 @@ _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“₯ 74 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 72 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
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OpenKE (πŸ₯‰15 Β· ⭐ 3.5K Β· πŸ’€) - An Open-Source Package for Knowledge Embedding (KE). MIT +
AutoGL (πŸ₯‰15 Β· ⭐ 990 Β· πŸ’€) - An autoML framework & toolkit for machine learning on graphs. Apache-2 -- [GitHub](https://github.com/thunlp/OpenKE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 950 Β· πŸ“‹ 370 - 4% open Β· ⏱️ 03.11.2022): +- [GitHub](https://github.com/THUMNLab/AutoGL) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 110 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 30.12.2022): ``` - git clone https://github.com/thunlp/OpenKE + git clone https://github.com/THUMNLab/AutoGL + ``` +- [PyPi](https://pypi.org/project/auto-graph-learning) (πŸ“₯ 2 / month Β· ⏱️ 23.12.2020): + ``` + pip install auto-graph-learning ```
OpenNE (πŸ₯‰14 Β· ⭐ 1.7K Β· πŸ’€) - An Open-Source Package for Network Embedding (NE). MIT -- [GitHub](https://github.com/thunlp/OpenNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 480 Β· πŸ“‹ 100 - 4% open Β· ⏱️ 02.11.2022): +- [GitHub](https://github.com/thunlp/OpenNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 480 Β· πŸ“‹ 100 - 3% open Β· ⏱️ 02.11.2022): ``` git clone https://github.com/thunlp/OpenNE ```
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Show 15 hidden projects... +
Show 17 hidden projects... +- igraph (πŸ₯‡32 Β· ⭐ 1.2K Β· πŸ“ˆ) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ28 Β· ⭐ 2.8K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 -- igraph (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 -- pygal (πŸ₯ˆ27 Β· ⭐ 2.6K Β· πŸ“ˆ) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 +- pygal (πŸ₯ˆ27 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 - Karate Club (πŸ₯ˆ24 Β· ⭐ 2K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 - DIG (πŸ₯‰22 Β· ⭐ 1.6K) - A library for graph deep learning research. ❗️GPL-3.0 -- DeepWalk (πŸ₯‰20 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 +- PyTorch-BigGraph (πŸ₯‰21 Β· ⭐ 3.3K Β· πŸ“‰) - Generate embeddings from large-scale graph-structured.. ❗Unlicensed - jraph (πŸ₯‰20 Β· ⭐ 1.2K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 - pyRDF2Vec (πŸ₯‰20 Β· ⭐ 230) - Python Implementation and Extension of RDF2Vec. MIT - Sematch (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - semantic similarity framework for knowledge graph. Apache-2 +- DeepWalk (πŸ₯‰18 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗Unlicensed +- DeepGraph (πŸ₯‰17 Β· ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - GraphEmbedding (πŸ₯‰16 Β· ⭐ 3.4K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - Euler (πŸ₯‰16 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.2K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT - ptgnn (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT -- DeepGraph (πŸ₯‰14 Β· ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. ❗Unlicensed +- OpenKE (πŸ₯‰13 Β· ⭐ 3.5K Β· πŸ’€) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed - GraphVite (πŸ₯‰13 Β· ⭐ 1.2K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2

@@ -3177,54 +3245,54 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
speechbrain (πŸ₯‡38 Β· ⭐ 6.7K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 990 Β· πŸ“‹ 1K - 16% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.1K Β· πŸ“¦ 1K Β· πŸ“‹ 1K - 16% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 180K / month Β· πŸ“¦ 14 Β· ⏱️ 22.07.2023): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 220K / month Β· πŸ“¦ 14 Β· ⏱️ 22.07.2023): ``` pip install speechbrain ```
espnet (πŸ₯‡37 Β· ⭐ 7.1K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 240 Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 380 Β· πŸ”€ 2K Β· πŸ“₯ 79 Β· πŸ“¦ 250 Β· πŸ“‹ 2.2K - 9% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 28K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 26K / month Β· πŸ“¦ 5 Β· ⏱️ 03.08.2023): ``` pip install espnet ```
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torchaudio (πŸ₯‡35 Β· ⭐ 2.2K Β· πŸ“ˆ) - Data manipulation and transformation for audio signal.. BSD-2 +
Coqui TTS (πŸ₯‡35 Β· ⭐ 21K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 600 Β· πŸ“‹ 880 - 21% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.3K Β· πŸ“₯ 1.4M Β· πŸ“‹ 750 - 5% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/pytorch/audio + git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.5M / month Β· πŸ“¦ 440 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 73K / month Β· πŸ“¦ 16 Β· ⏱️ 19.10.2023): ``` - pip install torchaudio + pip install tts + ``` +- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 9.8K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge tts ```
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Coqui TTS (πŸ₯ˆ34 Β· ⭐ 20K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
torchaudio (πŸ₯‡35 Β· ⭐ 2.2K) - Data manipulation and transformation for audio signal.. BSD-2 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“₯ 1.4M Β· πŸ“‹ 740 - 6% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/pytorch/audio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 600 Β· πŸ“‹ 890 - 21% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/coqui-ai/TTS - ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 84K / month Β· πŸ“¦ 16 Β· ⏱️ 06.10.2023): - ``` - pip install tts + git clone https://github.com/pytorch/audio ``` -- [Conda](https://anaconda.org/conda-forge/tts) (πŸ“₯ 9.7K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 1.6M / month Β· πŸ“¦ 440 Β· ⏱️ 04.10.2023): ``` - conda install -c conda-forge tts + pip install torchaudio ```
Pydub (πŸ₯ˆ33 Β· ⭐ 7.7K Β· πŸ’€) - Manipulate audio with a simple and easy high level interface. MIT @@ -3234,23 +3302,23 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/jiaaro/pydub ``` -- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 3.1M / month Β· πŸ“¦ 1.2K Β· ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/pydub) (πŸ“₯ 3M / month Β· πŸ“¦ 1.2K Β· ⏱️ 10.03.2021): ``` pip install pydub ``` -- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 69K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pydub) (πŸ“₯ 70K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pydub ```
librosa (πŸ₯ˆ33 Β· ⭐ 6.2K) - Python library for audio and music analysis. ISC -- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 900 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/librosa/librosa) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 900 Β· πŸ“‹ 1.1K - 4% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/librosa/librosa ``` -- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2.1M / month Β· πŸ“¦ 1.5K Β· ⏱️ 16.08.2023): +- [PyPi](https://pypi.org/project/librosa) (πŸ“₯ 2M / month Β· πŸ“¦ 1.5K Β· ⏱️ 16.08.2023): ``` pip install librosa ``` @@ -3270,7 +3338,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install spleeter ``` -- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 78K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/spleeter) (πŸ“₯ 79K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge spleeter ``` @@ -3282,19 +3350,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 2.6K / month Β· πŸ“¦ 38 Β· ⏱️ 31.07.2018): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 2.9K / month Β· πŸ“¦ 38 Β· ⏱️ 31.07.2018): ``` pip install magenta ```
SpeechRecognition (πŸ₯ˆ32 Β· ⭐ 7.6K Β· πŸ’€) - Speech recognition module for Python, supporting.. BSD-3 -- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 18 Β· πŸ“‹ 600 - 49% open Β· ⏱️ 13.03.2023): +- [GitHub](https://github.com/Uberi/speech_recognition) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 2.3K Β· πŸ“¦ 19 Β· πŸ“‹ 600 - 49% open Β· ⏱️ 13.03.2023): ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 450K / month Β· πŸ“¦ 810 Β· ⏱️ 04.12.2022): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 440K / month Β· πŸ“¦ 810 Β· ⏱️ 04.12.2022): ``` pip install SpeechRecognition ``` @@ -3310,7 +3378,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/iver56/audiomentations ``` -- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 11K / month Β· πŸ“¦ 5 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/audiomentations) (πŸ“₯ 17K / month Β· πŸ“¦ 5 Β· ⏱️ 30.08.2023): ``` pip install audiomentations ``` @@ -3322,23 +3390,23 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/beetbox/audioread ``` -- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 1.3M / month Β· πŸ“¦ 360 Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/audioread) (πŸ“₯ 1.4M / month Β· πŸ“¦ 360 Β· ⏱️ 27.09.2023): ``` pip install audioread ``` -- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 710K Β· ⏱️ 30.09.2023): +- [Conda](https://anaconda.org/conda-forge/audioread) (πŸ“₯ 720K Β· ⏱️ 30.09.2023): ``` conda install -c conda-forge audioread ```
Porcupine (πŸ₯ˆ29 Β· ⭐ 3.2K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 440 Β· πŸ“¦ 22 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 440 Β· πŸ“¦ 22 Β· πŸ“‹ 490 - 0% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 3.7K / month Β· πŸ“¦ 11 Β· ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 3.6K / month Β· πŸ“¦ 11 Β· ⏱️ 28.06.2022): ``` pip install pvporcupine ``` @@ -3350,47 +3418,47 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.7K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 2.9K / month Β· πŸ“¦ 33 Β· ⏱️ 14.11.2018): ``` pip install madmom ```
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DDSP (πŸ₯‰25 Β· ⭐ 2.6K) - DDSP: Differentiable Digital Signal Processing. Apache-2 +
tinytag (πŸ₯‰26 Β· ⭐ 630) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT -- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 300 Β· πŸ“¦ 44 Β· πŸ“‹ 160 - 23% open Β· ⏱️ 30.06.2023): +- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 99 Β· πŸ“‹ 110 - 12% open Β· ⏱️ 18.10.2023): ``` - git clone https://github.com/magenta/ddsp - ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): - ``` - pip install ddsp + git clone https://github.com/devsnd/tinytag ``` -- [Conda](https://anaconda.org/conda-forge/ddsp) (πŸ“₯ 14K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 14K / month Β· πŸ“¦ 110 Β· ⏱️ 18.10.2023): ``` - conda install -c conda-forge ddsp + pip install tinytag ```
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tinytag (πŸ₯‰25 Β· ⭐ 620) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT +
DDSP (πŸ₯‰25 Β· ⭐ 2.6K) - DDSP: Differentiable Digital Signal Processing. Apache-2 -- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“‹ 110 - 14% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/magenta/ddsp) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 300 Β· πŸ“¦ 46 Β· πŸ“‹ 160 - 24% open Β· ⏱️ 30.06.2023): ``` - git clone https://github.com/devsnd/tinytag + git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 14K / month Β· πŸ“¦ 110 Β· ⏱️ 12.03.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` - pip install tinytag + pip install ddsp + ``` +- [Conda](https://anaconda.org/conda-forge/ddsp) (πŸ“₯ 14K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge ddsp ```
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python-soundfile (πŸ₯‰25 Β· ⭐ 590 Β· πŸ’€) - SoundFile is an audio library based on libsndfile, CFFI,.. BSD-3 +
python-soundfile (πŸ₯‰24 Β· ⭐ 590) - 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”€ 93 Β· πŸ“₯ 16K Β· πŸ“‹ 220 - 41% open Β· ⏱️ 24.03.2023): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 93 Β· πŸ“₯ 16K Β· πŸ“‹ 230 - 41% open Β· ⏱️ 14.10.2023): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.4M / month Β· πŸ“¦ 170 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 1.5M / month Β· πŸ“¦ 170 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3406,7 +3474,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/mozilla/DeepSpeech ``` -- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 5.5K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): +- [PyPi](https://pypi.org/project/deepspeech) (πŸ“₯ 6.3K / month Β· πŸ“¦ 43 Β· ⏱️ 19.12.2020): ``` pip install deepspeech ``` @@ -3417,12 +3485,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
nnAudio (πŸ₯‰20 Β· ⭐ 900) - Audio processing by using pytorch 1D convolution network. MIT -- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 85 Β· πŸ“¦ 130 Β· πŸ“‹ 59 - 28% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 86 Β· πŸ“¦ 130 Β· πŸ“‹ 60 - 30% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 2.7K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 4.7K / month Β· πŸ“¦ 3 Β· ⏱️ 24.12.2021): ``` pip install nnAudio ``` @@ -3437,15 +3505,15 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Show 10 hidden projects... -- pyAudioAnalysis (πŸ₯ˆ29 Β· ⭐ 5.4K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 +- pyAudioAnalysis (πŸ₯ˆ29 Β· ⭐ 5.5K Β· πŸ’€) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 - aubio (πŸ₯‰28 Β· ⭐ 3K Β· πŸ’€) - a library for audio and music analysis. ❗️GPL-3.0 - Essentia (πŸ₯‰26 Β· ⭐ 2.5K) - C++ library for audio and music analysis, description and.. ❗️AGPL-3.0 -- TTS (πŸ₯‰25 Β· ⭐ 8K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 +- TTS (πŸ₯‰25 Β· ⭐ 8.1K Β· πŸ’€) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (πŸ₯‰25 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰23 Β· ⭐ 6.1K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰21 Β· ⭐ 900 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT - Julius (πŸ₯‰20 Β· ⭐ 370 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT -- TimeSide (πŸ₯‰20 Β· ⭐ 350 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 +- TimeSide (πŸ₯‰20 Β· ⭐ 350 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (πŸ₯‰17 Β· ⭐ 220 Β· πŸ’€) - A library for augmenting annotated audio data. ISC

@@ -3458,7 +3526,7 @@ _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’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 6.6K Β· πŸ“‹ 2.8K - 8% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 2K Β· πŸ“¦ 6.6K Β· πŸ“‹ 2.8K - 8% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/visgl/deck.gl @@ -3471,19 +3539,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge pydeck ``` -- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 500K / month Β· πŸ“¦ 470 Β· ⏱️ 11.10.2023): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 510K / month Β· πŸ“¦ 470 Β· ⏱️ 18.10.2023): ``` npm install deck.gl ```
GeoPandas (πŸ₯‡39 Β· ⭐ 3.9K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 870 Β· πŸ“₯ 2.2K Β· πŸ“¦ 27K Β· πŸ“‹ 1.6K - 27% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 820 Β· πŸ“₯ 2.2K Β· πŸ“¦ 27K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6M / month Β· πŸ“¦ 1.7K Β· ⏱️ 15.09.2023): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.1M / month): ``` pip install geopandas ``` @@ -3494,12 +3562,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
folium (πŸ₯‡38 Β· ⭐ 6.4K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.2K Β· πŸ“¦ 30K Β· πŸ“‹ 1K - 5% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.2K Β· πŸ“¦ 30K Β· πŸ“‹ 1K - 5% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 670K / month Β· πŸ“¦ 780 Β· ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/folium) (πŸ“₯ 680K / month): ``` pip install folium ``` @@ -3508,46 +3576,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge folium ```
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Shapely (πŸ₯ˆ37 Β· ⭐ 3.4K) - Manipulation and analysis of geometric objects. BSD-3 +
Shapely (πŸ₯‡38 Β· ⭐ 3.5K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.6K Β· πŸ“¦ 54K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 08.10.2023): +- [GitHub](https://github.com/shapely/shapely) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 540 Β· πŸ“₯ 2.7K Β· πŸ“¦ 54K Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 15.10.2023): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 15M / month Β· πŸ“¦ 890 Β· ⏱️ 02.02.2023): +- [PyPi](https://pypi.org/project/shapely) (πŸ“₯ 15M / month Β· πŸ“¦ 1.1K Β· ⏱️ 12.10.2023): ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 8.5M Β· ⏱️ 25.09.2023): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 8.5M Β· ⏱️ 13.10.2023): ``` conda install -c conda-forge shapely ```
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geopy (πŸ₯ˆ36 Β· ⭐ 4.1K) - Geocoding library for Python. MIT - -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 2 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 27.08.2023): - - ``` - git clone https://github.com/geopy/geopy - ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.1M / month Β· πŸ“¦ 4K Β· ⏱️ 27.08.2023): - ``` - pip install geopy - ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.2M Β· ⏱️ 27.08.2023): - ``` - conda install -c conda-forge geopy - ``` -
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pyproj (πŸ₯ˆ36 Β· ⭐ 920) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
pyproj (πŸ₯ˆ36 Β· ⭐ 930) - Python interface to PROJ (cartographic projections and coordinate.. MIT - [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 210 Β· πŸ“¦ 24K Β· πŸ“‹ 580 - 4% open Β· ⏱️ 21.09.2023): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 7.8M / month Β· πŸ“¦ 2K Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8M / month Β· πŸ“¦ 2K Β· ⏱️ 21.09.2023): ``` pip install pyproj ``` @@ -3556,30 +3608,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge pyproj ```
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Rasterio (πŸ₯ˆ35 Β· ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 - -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 520 Β· πŸ“₯ 850 Β· πŸ“¦ 9K Β· πŸ“‹ 1.7K - 9% open Β· ⏱️ 01.09.2023): - - ``` - git clone https://github.com/rasterio/rasterio - ``` -- [PyPi](https://pypi.org/project/rasterio) (πŸ“₯ 1.9M / month Β· πŸ“¦ 1K Β· ⏱️ 12.10.2023): - ``` - pip install rasterio - ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 2.6M Β· ⏱️ 11.10.2023): - ``` - conda install -c conda-forge rasterio - ``` -
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Fiona (πŸ₯ˆ34 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 +
Fiona (πŸ₯ˆ35 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 200 Β· πŸ“¦ 15K Β· πŸ“‹ 760 - 4% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 190 Β· πŸ“¦ 15K Β· πŸ“‹ 760 - 3% open Β· ⏱️ 03.10.2023): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.3M / month Β· πŸ“¦ 880 Β· ⏱️ 23.05.2023): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.4M / month): ``` pip install fiona ``` @@ -3590,12 +3626,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (πŸ₯ˆ33 Β· ⭐ 1.4K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 350 Β· πŸ“¦ 5.5K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 350 Β· πŸ“¦ 5.6K Β· πŸ“‹ 590 - 42% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 160K / month Β· πŸ“¦ 160 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/ipyleaflet) (πŸ“₯ 180K / month Β· πŸ“¦ 160 Β· ⏱️ 11.09.2023): ``` pip install ipyleaflet ``` @@ -3603,19 +3639,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` conda install -c conda-forge ipyleaflet ``` -- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 46K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 48K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2023): ``` npm install jupyter-leaflet ```
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ArcGIS API (πŸ₯‰32 Β· ⭐ 1.6K) - Documentation and samples for ArcGIS API for Python. Apache-2 +
ArcGIS API (πŸ₯‰31 Β· ⭐ 1.6K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1.1K Β· πŸ“₯ 9.4K Β· πŸ“¦ 3 Β· πŸ“‹ 640 - 7% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 1K Β· πŸ“₯ 9.4K Β· πŸ“¦ 3 Β· πŸ“‹ 630 - 5% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 72K / month Β· πŸ“¦ 32 Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 66K / month): ``` pip install arcgis ``` @@ -3624,14 +3660,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra docker pull esridocker/arcgis-api-python-notebook ```
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geojson (πŸ₯‰29 Β· ⭐ 840) - Python bindings and utilities for GeoJSON. BSD-3 +
geopy (πŸ₯‰30 Β· ⭐ 4.1K Β· πŸ“‰) - Geocoding library for Python. MIT -- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 120 Β· πŸ“¦ 16K Β· πŸ“‹ 98 - 25% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 600 Β· πŸ“₯ 2 Β· πŸ“‹ 270 - 8% open Β· ⏱️ 27.08.2023): + + ``` + git clone https://github.com/geopy/geopy + ``` +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 4.1M / month): + ``` + pip install geopy + ``` +- [Conda](https://anaconda.org/conda-forge/geopy) (πŸ“₯ 1.2M Β· ⏱️ 27.08.2023): + ``` + conda install -c conda-forge geopy + ``` +
+
geojson (πŸ₯‰28 Β· ⭐ 840) - Python bindings and utilities for GeoJSON. BSD-3 + +- [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 120 Β· πŸ“¦ 16K Β· πŸ“‹ 97 - 24% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.2M / month Β· πŸ“¦ 1.2K Β· ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.3M / month): ``` pip install geojson ``` @@ -3640,14 +3692,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge geojson ```
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GeoViews (πŸ₯‰28 Β· ⭐ 510) - Simple, concise geographical visualization in Python. BSD-3 +
GeoViews (πŸ₯‰27 Β· ⭐ 520) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 70 Β· πŸ“¦ 780 Β· πŸ“‹ 330 - 32% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 71 Β· πŸ“¦ 780 Β· πŸ“‹ 330 - 33% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/holoviz/geoviews ``` -- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 7K / month): +- [PyPi](https://pypi.org/project/geoviews) (πŸ“₯ 7.4K / month Β· πŸ“¦ 35 Β· ⏱️ 20.07.2023): ``` pip install geoviews ``` @@ -3656,14 +3708,14 @@ _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₯‰27 Β· ⭐ 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 +
PySAL (πŸ₯‰25 Β· ⭐ 1.2K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 - [GitHub](https://github.com/pysal/pysal) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“‹ 620 - 2% open Β· ⏱️ 05.09.2023): ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 21K / month Β· πŸ“¦ 36 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 22K / month): ``` pip install pysal ``` @@ -3672,14 +3724,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge pysal ```
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EarthPy (πŸ₯‰26 Β· ⭐ 460) - A package built to support working with spatial data using open source.. BSD-3 +
EarthPy (πŸ₯‰25 Β· ⭐ 460) - A package built to support working with spatial data using open source.. BSD-3 - [GitHub](https://github.com/earthlab/earthpy) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 150 Β· πŸ“¦ 250 Β· πŸ“‹ 230 - 10% open Β· ⏱️ 23.08.2023): ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.6K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 4.7K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3688,31 +3740,32 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge earthpy ```
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pymap3d (πŸ₯‰23 Β· ⭐ 330 Β· πŸ’€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2 +
pymap3d (πŸ₯‰24 Β· ⭐ 330 Β· πŸ’€) - pure-Python (Numpy optional) 3D coordinate conversions for geospace.. BSD-2 - [GitHub](https://github.com/geospace-code/pymap3d) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 79 Β· πŸ“¦ 320 Β· πŸ“‹ 53 - 16% open Β· ⏱️ 05.03.2023): ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 69K / month Β· πŸ“¦ 21 Β· ⏱️ 05.03.2023): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 75K / month Β· πŸ“¦ 21 Β· ⏱️ 05.03.2023): ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 61K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 62K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pymap3d ```
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Show 7 hidden projects... +
Show 8 hidden projects... -- Geocoder (πŸ₯‰32 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT -- Satpy (πŸ₯‰30 Β· ⭐ 960) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 +- Rasterio (πŸ₯ˆ35 Β· ⭐ 2K) - Rasterio reads and writes geospatial raster datasets. ❗Unlicensed +- Geocoder (πŸ₯ˆ33 Β· ⭐ 1.6K Β· πŸ’€) - Python Geocoder. MIT +- Satpy (πŸ₯‰31 Β· ⭐ 960) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 - Sentinelsat (πŸ₯‰27 Β· ⭐ 920 Β· πŸ’€) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 - Mapbox GL (πŸ₯‰23 Β· ⭐ 640 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - prettymaps (πŸ₯‰21 Β· ⭐ 10K Β· πŸ’€) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 -- geoplotlib (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT +- geoplotlib (πŸ₯‰18 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT

@@ -3729,7 +3782,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.2M / month Β· πŸ“¦ 270 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.1M / month Β· πŸ“¦ 270 Β· ⏱️ 04.10.2023): ``` pip install yfinance ``` @@ -3740,28 +3793,28 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Qlib (πŸ₯ˆ31 Β· ⭐ 13K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“₯ 370 Β· πŸ“¦ 18 Β· πŸ“‹ 800 - 28% open Β· ⏱️ 15.09.2023): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.1K Β· πŸ“₯ 390 Β· πŸ“¦ 19 Β· πŸ“‹ 810 - 28% open Β· ⏱️ 15.09.2023): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 15.06.2022): ``` pip install pyqlib ```
IB-insync (πŸ₯ˆ29 Β· ⭐ 2.4K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 580 Β· πŸ“‹ 540 - 0% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/erdewit/ib_insync) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 580 Β· πŸ“‹ 540 - 0% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 33K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2022): +- [PyPi](https://pypi.org/project/ib_insync) (πŸ“₯ 32K / month Β· πŸ“¦ 23 Β· ⏱️ 21.11.2022): ``` pip install ib_insync ``` -- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 36K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 37K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ib-insync ``` @@ -3773,18 +3826,18 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 9.2K / month Β· πŸ“¦ 27 Β· ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 9K / month Β· πŸ“¦ 27 Β· ⏱️ 21.04.2021): ``` pip install bt ``` -- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 18K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 18K Β· ⏱️ 15.10.2023): ``` conda install -c conda-forge bt ```
ffn (πŸ₯ˆ29 Β· ⭐ 1.6K) - ffn - a financial function library for Python. MIT -- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 270 Β· πŸ“¦ 370 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 14.09.2023): +- [GitHub](https://github.com/pmorissette/ffn) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 270 Β· πŸ“¦ 380 Β· πŸ“‹ 120 - 18% open Β· ⏱️ 14.09.2023): ``` git clone https://github.com/pmorissette/ffn @@ -3793,14 +3846,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 5.6K Β· ⏱️ 15.06.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 5.7K Β· ⏱️ 15.06.2023): ``` conda install -c conda-forge ffn ```
Alpha Vantage (πŸ₯‰28 Β· ⭐ 4K Β· πŸ’€) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 700 Β· πŸ“¦ 400 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 25.12.2022): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 700 Β· πŸ“¦ 410 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 25.12.2022): ``` git clone https://github.com/RomelTorres/alpha_vantage @@ -3809,7 +3862,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 5.5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (πŸ“₯ 5.6K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge alpha_vantage ``` @@ -3821,19 +3874,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 9.2K / month Β· πŸ“¦ 29 Β· ⏱️ 30.07.2023): +- [PyPi](https://pypi.org/project/stockstats) (πŸ“₯ 9K / month Β· πŸ“¦ 29 Β· ⏱️ 30.07.2023): ``` pip install stockstats ```
FinQuant (πŸ₯‰25 Β· ⭐ 1.1K) - A program for financial portfolio management, analysis and optimisation. MIT -- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 82 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 03.09.2023): +- [GitHub](https://github.com/fmilthaler/FinQuant) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 84 Β· πŸ“‹ 48 - 33% open Β· ⏱️ 03.09.2023): ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 1.2K / month Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 1.3K / month Β· ⏱️ 04.09.2023): ``` pip install FinQuant ``` @@ -3845,7 +3898,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 580 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (πŸ“₯ 750 / month Β· πŸ“¦ 21 Β· ⏱️ 21.08.2018): ``` pip install pyalgotrade ``` @@ -3857,7 +3910,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 430 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 400 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3869,7 +3922,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 140 / month Β· ⏱️ 07.10.2021): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 130 / month Β· ⏱️ 07.10.2021): ``` pip install finmarketpy ``` @@ -3901,28 +3954,28 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 7K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“₯ 84 Β· πŸ“¦ 1.7K Β· πŸ“‹ 2K - 34% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.2K Β· πŸ“₯ 84 Β· πŸ“¦ 1.8K Β· πŸ“‹ 2K - 34% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 720K / month Β· πŸ“¦ 50 Β· ⏱️ 17.09.2023): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 760K / month Β· πŸ“¦ 55 Β· ⏱️ 13.10.2023): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 910K Β· ⏱️ 17.09.2023): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 910K Β· ⏱️ 19.10.2023): ``` conda install -c conda-forge sktime-all-extras ```
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Prophet (πŸ₯‡35 Β· ⭐ 17K) - Tool for producing high quality forecasts for time series data that has.. MIT +
Prophet (πŸ₯‡36 Β· ⭐ 17K) - Tool for producing high quality forecasts for time series data that has.. MIT -- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 2.1K Β· πŸ“¦ 18 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 4.4K Β· πŸ“₯ 2.1K Β· πŸ“¦ 19 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/facebook/prophet ``` -- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 910K / month Β· πŸ“¦ 130 Β· ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/fbprophet) (πŸ“₯ 890K / month Β· πŸ“¦ 130 Β· ⏱️ 05.09.2020): ``` pip install fbprophet ``` @@ -3933,7 +3986,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
tslearn (πŸ₯‡33 Β· ⭐ 2.6K) - A machine learning toolkit dedicated to time-series data. BSD-2 -- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“¦ 970 Β· πŸ“‹ 310 - 38% open Β· ⏱️ 28.09.2023): +- [GitHub](https://github.com/tslearn-team/tslearn) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 320 Β· πŸ“¦ 980 Β· πŸ“‹ 310 - 38% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/tslearn-team/tslearn @@ -3942,31 +3995,31 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install tslearn ``` -- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 1.2M Β· ⏱️ 21.08.2023): +- [Conda](https://anaconda.org/conda-forge/tslearn) (πŸ“₯ 1.3M Β· ⏱️ 21.08.2023): ``` conda install -c conda-forge tslearn ```
NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.3K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 430 Β· πŸ“¦ 300 Β· πŸ“‹ 490 - 8% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 430 Β· πŸ“¦ 310 Β· πŸ“‹ 490 - 8% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 92K / month Β· πŸ“¦ 3 Β· ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 74K / month Β· πŸ“¦ 3 Β· ⏱️ 19.09.2023): ``` pip install neuralprophet ```
STUMPY (πŸ₯ˆ32 Β· ⭐ 2.8K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 270 Β· πŸ“¦ 540 Β· πŸ“‹ 450 - 11% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 540 Β· πŸ“‹ 450 - 11% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 230K / month Β· πŸ“¦ 15 Β· ⏱️ 21.08.2023): +- [PyPi](https://pypi.org/project/stumpy) (πŸ“₯ 240K / month Β· πŸ“¦ 15 Β· ⏱️ 21.08.2023): ``` pip install stumpy ``` @@ -3975,30 +4028,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l 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 - -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 6.3K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 03.07.2023): - - ``` - git clone https://github.com/alkaline-ml/pmdarima - ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 1.6M / month Β· πŸ“¦ 81 Β· ⏱️ 15.03.2023): - ``` - pip install pmdarima - ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge pmdarima - ``` -
tsfresh (πŸ₯ˆ31 Β· ⭐ 7.8K) - Automatic extraction of relevant features from time series:. MIT -- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 1.2K Β· πŸ“¦ 18 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/blue-yonder/tsfresh) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 1.2K Β· πŸ“¦ 19 Β· πŸ“‹ 530 - 11% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 230K / month Β· πŸ“¦ 75 Β· ⏱️ 21.12.2021): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 75 Β· ⏱️ 21.12.2021): ``` pip install tsfresh ``` @@ -4009,7 +4046,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Darts (πŸ₯ˆ31 Β· ⭐ 6.5K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 720 Β· πŸ“¦ 380 Β· πŸ“‹ 1.2K - 20% open Β· ⏱️ 16.09.2023): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 720 Β· πŸ“¦ 390 Β· πŸ“‹ 1.2K - 20% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/unit8co/darts @@ -4018,7 +4055,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 36K Β· ⏱️ 16.09.2023): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 37K Β· ⏱️ 16.09.2023): ``` conda install -c conda-forge u8darts-all ``` @@ -4029,71 +4066,71 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
GluonTS (πŸ₯ˆ31 Β· ⭐ 3.8K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 880 - 30% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 740 Β· πŸ“‹ 880 - 30% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 170K / month Β· πŸ“¦ 12 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 230K / month Β· πŸ“¦ 13 Β· ⏱️ 18.10.2023): ``` pip install gluonts ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 570 Β· ⏱️ 23.06.2023): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 580 Β· ⏱️ 23.06.2023): ``` conda install -c anaconda gluonts ```
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StatsForecast (πŸ₯ˆ31 Β· ⭐ 3K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
pmdarima (πŸ₯ˆ31 Β· ⭐ 1.4K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 210 Β· πŸ“¦ 500 Β· πŸ“‹ 240 - 43% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 230 Β· πŸ“¦ 6.4K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 16.10.2023): ``` - git clone https://github.com/Nixtla/statsforecast + git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 390K / month Β· πŸ“¦ 21 Β· ⏱️ 23.08.2023): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 1.6M / month Β· πŸ“¦ 81 Β· ⏱️ 15.03.2023): ``` - pip install statsforecast + pip install pmdarima ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 51K Β· ⏱️ 25.08.2023): +- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge statsforecast + conda install -c conda-forge pmdarima ```
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pytorch-forecasting (πŸ₯ˆ29 Β· ⭐ 3.2K) - Time series forecasting with PyTorch. MIT +
StatsForecast (πŸ₯ˆ30 Β· ⭐ 3.1K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 510 Β· πŸ“‹ 710 - 60% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 210 Β· πŸ“¦ 520 Β· πŸ“‹ 240 - 43% open Β· ⏱️ 16.10.2023): ``` - git clone https://github.com/jdb78/pytorch-forecasting + git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 57K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/statsforecast) (πŸ“₯ 420K / month): ``` - pip install pytorch-forecasting + pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 51K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 52K Β· ⏱️ 25.08.2023): ``` - conda install -c conda-forge pytorch-forecasting + conda install -c conda-forge statsforecast ```
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NeuralForecast (πŸ₯ˆ29 Β· ⭐ 1.8K) - Scalable and user friendly neural forecasting algorithms. Apache-2 +
pytorch-forecasting (πŸ₯ˆ29 Β· ⭐ 3.3K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 190 Β· πŸ“¦ 49 Β· πŸ“‹ 350 - 23% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 510 Β· πŸ“‹ 710 - 60% open Β· ⏱️ 18.10.2023): ``` - git clone https://github.com/Nixtla/neuralforecast + git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 8.6K / month Β· πŸ“¦ 3 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 56K / month Β· πŸ“¦ 10 Β· ⏱️ 26.07.2020): ``` - pip install neuralforecast + pip install pytorch-forecasting ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (πŸ“₯ 11K Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 51K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge neuralforecast + conda install -c conda-forge pytorch-forecasting ```
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pyts (πŸ₯‰28 Β· ⭐ 1.6K) - A Python package for time series classification. BSD-3 +
pyts (πŸ₯ˆ28 Β· ⭐ 1.6K) - A Python package for time series classification. BSD-3 -- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 150 Β· πŸ“¦ 470 Β· πŸ“‹ 75 - 54% open Β· ⏱️ 20.06.2023): +- [GitHub](https://github.com/johannfaouzi/pyts) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 150 Β· πŸ“¦ 480 Β· πŸ“‹ 75 - 54% open Β· ⏱️ 20.06.2023): ``` git clone https://github.com/johannfaouzi/pyts @@ -4107,26 +4144,26 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge pyts ```
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skforecast (πŸ₯‰28 Β· ⭐ 670) - Time series forecasting with scikit-learn models. BSD-3 +
skforecast (πŸ₯ˆ28 Β· ⭐ 680) - Time series forecasting with scikit-learn models. BSD-3 -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 86 Β· πŸ“¦ 190 Β· πŸ“‹ 95 - 13% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 87 Β· πŸ“¦ 190 Β· πŸ“‹ 97 - 15% open Β· ⏱️ 15.10.2023): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 33K / month Β· πŸ“¦ 6 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 35K / month Β· πŸ“¦ 6 Β· ⏱️ 26.09.2023): ``` pip install skforecast ```
Streamz (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Real-time stream processing for python. BSD-3 -- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 140 Β· πŸ“¦ 420 Β· πŸ“‹ 260 - 41% open Β· ⏱️ 22.12.2022): +- [GitHub](https://github.com/python-streamz/streamz) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 140 Β· πŸ“¦ 430 Β· πŸ“‹ 260 - 41% open Β· ⏱️ 22.12.2022): ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 16K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (πŸ“₯ 17K / month Β· πŸ“¦ 37 Β· ⏱️ 27.07.2022): ``` pip install streamz ``` @@ -4135,37 +4172,37 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge streamz ```
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TSFEL (πŸ₯‰24 Β· ⭐ 730) - An intuitive library to extract features from time series. BSD-3 +
TSFEL (πŸ₯‰24 Β· ⭐ 740) - An intuitive library to extract features from time series. BSD-3 - [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 96 Β· πŸ“‹ 66 - 7% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 23K / month Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/tsfel) (πŸ“₯ 24K / month Β· ⏱️ 22.08.2023): ``` pip install tsfel ```
uber/orbit (πŸ₯‰23 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”€ 130 Β· πŸ“¦ 38 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 39 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 99K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 100K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): ``` pip install orbit-ml ``` -- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 4.3K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 4.4K Β· ⏱️ 18.06.2023): ``` conda install -c conda-forge orbit-ml ```
greykite (πŸ₯‰22 Β· ⭐ 1.7K) - A flexible, intuitive and fast forecasting library. BSD-2 -- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 98 Β· πŸ“₯ 4 Β· πŸ“¦ 23 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 07.06.2023): +- [GitHub](https://github.com/linkedin/greykite) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 99 Β· πŸ“₯ 4 Β· πŸ“¦ 23 Β· πŸ“‹ 100 - 22% open Β· ⏱️ 07.06.2023): ``` git clone https://github.com/linkedin/greykite @@ -4182,7 +4219,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/luminol ``` -- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 11K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): +- [PyPi](https://pypi.org/project/luminol) (πŸ“₯ 10K / month Β· πŸ“¦ 15 Β· ⏱️ 11.12.2017): ``` pip install luminol ``` @@ -4194,7 +4231,7 @@ _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“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/tick) (πŸ“₯ 1.2K / month Β· πŸ“¦ 2 Β· ⏱️ 24.05.2020): ``` pip install tick ``` @@ -4206,7 +4243,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 32K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 33K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` pip install pydlm ``` @@ -4218,7 +4255,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 3.8K / month Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 3.9K / month Β· ⏱️ 16.08.2022): ``` pip install auto-ts ``` @@ -4230,7 +4267,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 210 / month Β· ⏱️ 11.10.2022): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 190 / month Β· ⏱️ 11.10.2022): ``` pip install tsflex ``` @@ -4239,15 +4276,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge tsflex ```
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Show 7 hidden projects... +
Show 8 hidden projects... -- PyFlux (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 +- NeuralForecast (πŸ₯‰27 Β· ⭐ 1.8K) - Scalable and user friendly neural forecasting algorithms. ❗Unlicensed +- PyFlux (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Open source time series library for Python. BSD-3 +- seglearn (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 - ADTK (πŸ₯‰20 Β· ⭐ 970 Β· πŸ’€) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 -- seglearn (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - Python module for machine learning time series:. BSD-3 - matrixprofile-ts (πŸ₯‰19 Β· ⭐ 720 Β· πŸ’€) - A Python library for detecting patterns and anomalies.. Apache-2 -- atspy (πŸ₯‰14 Β· ⭐ 500 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT +- atspy (πŸ₯‰15 Β· ⭐ 500 Β· πŸ’€) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tsaug (πŸ₯‰13 Β· ⭐ 320 Β· πŸ’€) - A Python package for time series augmentation. Apache-2 -- tslumen (πŸ₯‰8 Β· ⭐ 51 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2 +- tslumen (πŸ₯‰8 Β· ⭐ 52 Β· πŸ’€) - A library for Time Series EDA (exploratory data analysis). Apache-2

@@ -4257,9 +4295,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic data, and other medical imaging formats._ -
MNE (πŸ₯‡39 Β· ⭐ 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 +
MNE (πŸ₯‡38 Β· ⭐ 2.4K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.2K Β· πŸ“¦ 3K Β· πŸ“‹ 4.7K - 11% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.2K Β· πŸ“¦ 3.1K Β· πŸ“‹ 4.7K - 11% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/mne-tools/mne-python @@ -4275,28 +4313,28 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MONAI (πŸ₯‡36 Β· ⭐ 4.7K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 880 Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 880 Β· πŸ“¦ 1.4K Β· πŸ“‹ 2.8K - 11% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 87K / month Β· πŸ“¦ 44 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 91K / month Β· πŸ“¦ 44 Β· ⏱️ 12.10.2023): ``` pip install monai ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 18K Β· ⏱️ 08.06.2023): +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 19K Β· ⏱️ 12.10.2023): ``` conda install -c conda-forge monai ```
Nilearn (πŸ₯ˆ35 Β· ⭐ 1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 530 Β· πŸ“₯ 140 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 530 Β· πŸ“₯ 140 Β· πŸ“¦ 2.6K Β· πŸ“‹ 1.9K - 15% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 44K / month Β· πŸ“¦ 280 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 48K / month Β· πŸ“¦ 280 Β· ⏱️ 29.09.2023): ``` pip install nilearn ``` @@ -4307,12 +4345,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
DIPY (πŸ₯ˆ34 Β· ⭐ 620) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 380 Β· πŸ“¦ 890 Β· πŸ“‹ 880 - 17% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/dipy/dipy) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 380 Β· πŸ“¦ 890 Β· πŸ“‹ 880 - 17% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/dipy/dipy ``` -- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 14K / month Β· πŸ“¦ 100 Β· ⏱️ 11.03.2022): +- [PyPi](https://pypi.org/project/dipy) (πŸ“₯ 14K / month Β· πŸ“¦ 110 Β· ⏱️ 11.03.2022): ``` pip install dipy ``` @@ -4328,23 +4366,23 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/CamDavidsonPilon/lifelines ``` -- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 400K / month Β· πŸ“¦ 120 Β· ⏱️ 13.09.2023): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 410K / month Β· πŸ“¦ 120 Β· ⏱️ 13.09.2023): ``` pip install lifelines ``` -- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 290K Β· ⏱️ 13.09.2023): +- [Conda](https://anaconda.org/conda-forge/lifelines) (πŸ“₯ 300K Β· ⏱️ 13.09.2023): ``` conda install -c conda-forge lifelines ```
Hail (πŸ₯ˆ33 Β· ⭐ 890) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.2K - 6% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 2.3K - 6% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 19K / month Β· πŸ“¦ 16 Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 23K / month Β· πŸ“¦ 16 Β· ⏱️ 21.09.2023): ``` pip install hail ``` @@ -4356,7 +4394,7 @@ _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“₯ 76K / month Β· πŸ“¦ 170 Β· ⏱️ 21.05.2017): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 77K / month Β· πŸ“¦ 170 Β· ⏱️ 21.05.2017): ``` pip install nipype ``` @@ -4367,7 +4405,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NiBabel (πŸ₯ˆ33 Β· ⭐ 590) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 250 Β· πŸ“¦ 15K Β· πŸ“‹ 510 - 24% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 250 Β· πŸ“¦ 15K Β· πŸ“‹ 510 - 24% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/nipy/nibabel @@ -4383,7 +4421,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPY (πŸ₯‰28 Β· ⭐ 350) - Neuroimaging in Python FMRI analysis package. BSD-3 -- [GitHub](https://github.com/nipy/nipy) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 160 - 27% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/nipy/nipy) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 170 - 26% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/nipy/nipy @@ -4409,18 +4447,18 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c bioconda deepvariant ```
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Brainiak (πŸ₯‰17 Β· ⭐ 310) - Brain Imaging Analysis Kit. Apache-2 +
Brainiak (πŸ₯‰18 Β· ⭐ 310) - Brain Imaging Analysis Kit. Apache-2 -- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 130 Β· πŸ“‹ 200 - 38% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 130 Β· πŸ“‹ 200 - 38% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 110 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 120 / month Β· πŸ“¦ 1 Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` -- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 1.3K Β· ⭐ 1 Β· ⏱️ 15.10.2020): +- [Docker Hub](https://hub.docker.com/r/brainiak/brainiak) (πŸ“₯ 1.4K Β· ⭐ 1 Β· ⏱️ 15.10.2020): ``` docker pull brainiak/brainiak ``` @@ -4446,12 +4484,12 @@ _Libraries for processing tabular and structured data._
carefree-learn (πŸ₯ˆ20 Β· ⭐ 400) - Deep Learning PyTorch. MIT -- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 4 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 14.09.2023): +- [GitHub](https://github.com/carefree0910/carefree-learn) (πŸ‘¨β€πŸ’» 1 Β· πŸ”€ 37 Β· πŸ“¦ 4 Β· πŸ“‹ 82 - 2% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 330 / month Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 450 / month Β· ⏱️ 17.10.2023): ``` pip install carefree-learn ``` @@ -4463,7 +4501,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 3.3K / month Β· πŸ“¦ 2 Β· ⏱️ 01.09.2021): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 3.9K / month Β· πŸ“¦ 2 Β· ⏱️ 01.09.2021): ``` pip install pytorch_tabular ``` @@ -4484,36 +4522,36 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡39 Β· ⭐ 34K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 6.6K Β· πŸ“¦ 1.9K Β· πŸ“‹ 8.1K - 10% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 6.6K Β· πŸ“¦ 1.9K Β· πŸ“‹ 8.1K - 10% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 76K / month): +- [PyPi](https://pypi.org/project/paddleocr) (πŸ“₯ 81K / month): ``` pip install paddleocr ```
EasyOCR (πŸ₯‡36 Β· ⭐ 20K) - Ready-to-use OCR with 80+ supported languages and all popular writing.. Apache-2 -- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 6.7M Β· πŸ“¦ 3.9K Β· πŸ“‹ 870 - 33% open Β· ⏱️ 04.09.2023): +- [GitHub](https://github.com/JaidedAI/EasyOCR) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.7K Β· πŸ“₯ 6.8M Β· πŸ“¦ 4K Β· πŸ“‹ 880 - 33% open Β· ⏱️ 04.09.2023): ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 180K / month Β· πŸ“¦ 69 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 190K / month Β· πŸ“¦ 69 Β· ⏱️ 04.09.2023): ``` pip install easyocr ```
OCRmyPDF (πŸ₯ˆ33 Β· ⭐ 10K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 760 Β· πŸ“₯ 590 Β· πŸ“¦ 620 Β· πŸ“‹ 1K - 10% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 760 Β· πŸ“₯ 670 Β· πŸ“¦ 640 Β· πŸ“‹ 1K - 10% open Β· ⏱️ 10.10.2023): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 47K / month Β· πŸ“¦ 17 Β· ⏱️ 10.10.2023): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 48K / month Β· πŸ“¦ 17 Β· ⏱️ 10.10.2023): ``` pip install ocrmypdf ``` @@ -4524,12 +4562,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
tesserocr (πŸ₯ˆ31 Β· ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 52 Β· πŸ“¦ 890 Β· πŸ“‹ 260 - 17% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 250 Β· πŸ“₯ 54 Β· πŸ“¦ 890 Β· πŸ“‹ 260 - 17% open Β· ⏱️ 09.10.2023): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 62K / month): +- [PyPi](https://pypi.org/project/tesserocr) (πŸ“₯ 66K / month): ``` pip install tesserocr ``` @@ -4538,18 +4576,18 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge tesserocr ```
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Tesseract (πŸ₯ˆ29 Β· ⭐ 5.1K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 +
Tesseract (πŸ₯ˆ29 Β· ⭐ 5.1K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 -- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 660 Β· πŸ“‹ 340 - 2% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 660 Β· πŸ“‹ 350 - 2% open Β· ⏱️ 15.10.2023): ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.1M / month): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 1.2M / month): ``` pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 590K Β· ⏱️ 12.09.2023): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 590K Β· ⏱️ 15.10.2023): ``` conda install -c conda-forge pytesseract ``` @@ -4561,19 +4599,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 4.9K / month Β· πŸ“¦ 2 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.2K / month Β· πŸ“¦ 2 Β· ⏱️ 05.05.2022): ``` pip install mmocr ```
keras-ocr (πŸ₯‰24 Β· ⭐ 1.3K Β· πŸ’€) - A packaged and flexible version of the CRAFT text detector.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 660K Β· πŸ“¦ 330 Β· πŸ“‹ 200 - 44% open Β· ⏱️ 24.12.2022): +- [GitHub](https://github.com/faustomorales/keras-ocr) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 300 Β· πŸ“₯ 670K Β· πŸ“¦ 330 Β· πŸ“‹ 200 - 45% open Β· ⏱️ 24.12.2022): ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 11K / month): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 12K / month): ``` pip install keras-ocr ``` @@ -4589,7 +4627,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/Calamari-OCR/calamari ``` -- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.4K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 1.7K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): ``` pip install calamari_ocr ``` @@ -4598,7 +4636,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag - pdftabextract (πŸ₯‰21 Β· ⭐ 2.1K Β· πŸ’€) - A set of tools for extracting tables from PDF files.. Apache-2 - attention-ocr (πŸ₯‰21 Β· ⭐ 960 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 +- doc2text (πŸ₯‰20 Β· ⭐ 1.3K Β· πŸ’€) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT - Mozart (πŸ₯‰10 Β· ⭐ 510 Β· πŸ’€) - An optical music recognition (OMR) system. Converts sheet.. Apache-2

@@ -4651,44 +4689,44 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡44 Β· ⭐ 28K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 930 Β· πŸ”€ 4.7K Β· πŸ“₯ 89 Β· πŸ“¦ 12K Β· πŸ“‹ 16K - 20% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 930 Β· πŸ”€ 4.7K Β· πŸ“₯ 93 Β· πŸ“¦ 12K Β· πŸ“‹ 16K - 20% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 2.3M / month Β· πŸ“¦ 420 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 2.4M / month Β· πŸ“¦ 420 Β· ⏱️ 09.10.2023): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 170K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 170K Β· ⏱️ 17.10.2023): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡43 Β· ⭐ 11K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 1.6K Β· πŸ“¦ 53K Β· πŸ“‹ 5K - 19% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 1.6K Β· πŸ“¦ 53K Β· πŸ“‹ 5K - 19% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.2M / month Β· πŸ“¦ 3K Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 7.9M / month Β· πŸ“¦ 3K Β· ⏱️ 14.10.2023): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 10M Β· ⏱️ 30.09.2023): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 10M Β· ⏱️ 14.10.2023): ``` conda install -c conda-forge dask ```
DeepSpeed (πŸ₯‡41 Β· ⭐ 29K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.4K Β· πŸ“¦ 4.4K Β· πŸ“‹ 2.2K - 36% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 3.4K Β· πŸ“¦ 4.5K Β· πŸ“‹ 2.2K - 36% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 350K / month Β· πŸ“¦ 79 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 360K / month Β· πŸ“¦ 79 Β· ⏱️ 09.10.2023): ``` pip install deepspeed ``` @@ -4699,16 +4737,16 @@ _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’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 31K Β· πŸ“‹ 3.7K - 38% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 700 Β· πŸ“¦ 31K Β· πŸ“‹ 3.7K - 38% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.3M / month Β· πŸ“¦ 1.3K Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 4.5M / month Β· πŸ“¦ 1.3K Β· ⏱️ 14.10.2023): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 12M Β· ⏱️ 29.09.2023): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 12M Β· ⏱️ 14.10.2023): ``` conda install -c conda-forge distributed ``` @@ -4720,31 +4758,31 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 53K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 54K / month Β· πŸ“¦ 34 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.5K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 18 Β· πŸ“‹ 9.2K - 29% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 2K Β· πŸ“¦ 19 Β· πŸ“‹ 9.2K - 29% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 380K / month Β· πŸ“¦ 81 Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 370K / month Β· πŸ“¦ 81 Β· ⏱️ 16.10.2023): ``` pip install h2o ```
BigDL (πŸ₯ˆ35 Β· ⭐ 4.4K) - Accelerate LLM with low-bit (INT3 / INT4 / NF4 / INT5 / INT8).. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2.1K - 38% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/intel-analytics/BigDL) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 1.1K Β· πŸ“¦ 45 Β· πŸ“‹ 2.1K - 38% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 6.2K / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 6.4K / month Β· πŸ“¦ 1 Β· ⏱️ 19.10.2023): ``` pip install bigdl ``` @@ -4759,12 +4797,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
metrics (πŸ₯ˆ35 Β· ⭐ 1.7K) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 330 Β· πŸ“₯ 4K Β· πŸ“¦ 16K Β· πŸ“‹ 710 - 6% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 330 Β· πŸ“₯ 4K Β· πŸ“¦ 16K Β· πŸ“‹ 710 - 7% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/Lightning-AI/metrics ``` -- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 7.2K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): +- [PyPi](https://pypi.org/project/metrics) (πŸ“₯ 7.1K / month Β· πŸ“¦ 13 Β· ⏱️ 28.04.2018): ``` pip install metrics ``` @@ -4775,7 +4813,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
ColossalAI (πŸ₯ˆ34 Β· ⭐ 35K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.9K Β· πŸ“¦ 260 Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.9K Β· πŸ“¦ 260 Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/hpcaitech/colossalai @@ -4788,7 +4826,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 500K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 490K / month Β· πŸ“¦ 58 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` @@ -4797,9 +4835,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge fairscale ```
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SynapseML (πŸ₯ˆ30 Β· ⭐ 4.6K) - Simple and Distributed Machine Learning. MIT +
SynapseML (πŸ₯ˆ29 Β· ⭐ 4.6K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 790 Β· πŸ“‹ 710 - 44% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 790 Β· πŸ“‹ 710 - 44% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/microsoft/SynapseML @@ -4809,34 +4847,34 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install synapseml ```
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mpi4py (πŸ₯ˆ29 Β· ⭐ 690) - Python bindings for MPI. BSD-2 +
mpi4py (πŸ₯ˆ29 Β· ⭐ 700) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“₯ 17K Β· πŸ“‹ 130 - 9% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“₯ 17K Β· πŸ“‹ 130 - 8% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 160K / month Β· πŸ“¦ 700 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 180K / month Β· πŸ“¦ 710 Β· ⏱️ 04.10.2023): ``` pip install mpi4py ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 2.2M Β· ⏱️ 23.09.2023): +- [Conda](https://anaconda.org/conda-forge/mpi4py) (πŸ“₯ 2.2M Β· ⏱️ 17.10.2023): ``` conda install -c conda-forge mpi4py ```
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Submit it (πŸ₯ˆ28 Β· ⭐ 960) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT +
Submit it (πŸ₯ˆ28 Β· ⭐ 970) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 1.6K Β· πŸ“‹ 110 - 32% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/facebookincubator/submitit) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 100 Β· πŸ“¦ 1.7K Β· πŸ“‹ 110 - 32% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 160K / month Β· πŸ“¦ 15 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 150K / month Β· πŸ“¦ 15 Β· ⏱️ 05.10.2023): ``` pip install submitit ``` -- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 31K Β· ⏱️ 05.10.2023): +- [Conda](https://anaconda.org/conda-forge/submitit) (πŸ“₯ 32K Β· ⏱️ 05.10.2023): ``` conda install -c conda-forge submitit ``` @@ -4848,7 +4886,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 170K / month Β· πŸ“¦ 72 Β· ⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 330K / month Β· πŸ“¦ 72 Β· ⏱️ 06.05.2020): ``` pip install dask-ml ``` @@ -4864,7 +4902,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 470K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (πŸ“₯ 450K / month Β· πŸ“¦ 5 Β· ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -4880,38 +4918,38 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 19K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 23K / month Β· πŸ“¦ 33 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
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Hivemind (πŸ₯‰26 Β· ⭐ 1.7K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT +
petastorm (πŸ₯‰26 Β· ⭐ 1.7K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 -- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 110 Β· πŸ“¦ 72 Β· πŸ“‹ 160 - 37% open Β· ⏱️ 08.10.2023): +- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 280 Β· πŸ“₯ 430 Β· πŸ“¦ 140 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 03.02.2023): ``` - git clone https://github.com/learning-at-home/hivemind + git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4K / month Β· πŸ“¦ 6 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 30K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): ``` - pip install hivemind + pip install petastorm ```
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petastorm (πŸ₯‰26 Β· ⭐ 1.7K Β· πŸ’€) - Petastorm library enables single machine or distributed.. Apache-2 +
Hivemind (πŸ₯‰25 Β· ⭐ 1.7K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT -- [GitHub](https://github.com/uber/petastorm) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 280 Β· πŸ“₯ 430 Β· πŸ“¦ 140 Β· πŸ“‹ 320 - 53% open Β· ⏱️ 03.02.2023): +- [GitHub](https://github.com/learning-at-home/hivemind) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 110 Β· πŸ“¦ 73 Β· πŸ“‹ 160 - 37% open Β· ⏱️ 08.10.2023): ``` - git clone https://github.com/uber/petastorm + git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 33K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 3.4K / month Β· πŸ“¦ 6 Β· ⏱️ 31.08.2023): ``` - pip install petastorm + pip install hivemind ```
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MMLSpark (πŸ₯‰24 Β· ⭐ 4.6K) - Simple and Distributed Machine Learning. MIT +
MMLSpark (πŸ₯‰23 Β· ⭐ 4.6K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 790 Β· πŸ“‹ 710 - 44% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 790 Β· πŸ“‹ 710 - 44% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/microsoft/SynapseML @@ -4935,12 +4973,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
launchpad (πŸ₯‰22 Β· ⭐ 300) - Launchpad is a library that simplifies writing distributed.. Apache-2 -- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 69 Β· πŸ“‹ 38 - 44% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/google-deepmind/launchpad) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 33 Β· πŸ“¦ 70 Β· πŸ“‹ 38 - 44% open Β· ⏱️ 22.08.2023): ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.3K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 2.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ``` @@ -4952,7 +4990,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/apache/singa ``` -- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 700 Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/nusdbsystem/singa) (πŸ“₯ 710 Β· ⏱️ 16.06.2023): ``` conda install -c nusdbsystem singa ``` @@ -4979,13 +5017,13 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Show 12 hidden projects... -- DEAP (πŸ₯ˆ35 Β· ⭐ 5.3K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 +- DEAP (πŸ₯ˆ34 Β· ⭐ 5.3K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (πŸ₯ˆ29 Β· ⭐ 2.5K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed -- Elephas (πŸ₯‰27 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras +- Elephas (πŸ₯‰26 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras - BytePS (πŸ₯‰21 Β· ⭐ 3.5K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 +- somoclu (πŸ₯‰21 Β· ⭐ 250 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT - TensorFrames (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 -- sk-dist (πŸ₯‰20 Β· ⭐ 280 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 -- somoclu (πŸ₯‰20 Β· ⭐ 250 Β· πŸ’€) - Massively parallel self-organizing maps: accelerate training on.. MIT +- sk-dist (πŸ₯‰20 Β· ⭐ 290 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 - Fiber (πŸ₯‰17 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - parallelformers (πŸ₯‰17 Β· ⭐ 720 Β· πŸ’€) - Parallelformers: An Efficient Model Parallelization.. Apache-2 - bluefog (πŸ₯‰17 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 @@ -5002,24 +5040,24 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
NNI (πŸ₯‡34 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“¦ 480 Β· πŸ“‹ 2K - 16% open Β· ⏱️ 07.08.2023): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 490 Β· πŸ“‹ 2K - 16% open Β· ⏱️ 07.08.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 23K / month Β· πŸ“¦ 35 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 22K / month Β· πŸ“¦ 35 Β· ⏱️ 14.09.2023): ``` pip install nni ```
featuretools (πŸ₯‡34 Β· ⭐ 6.8K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 840 Β· πŸ“¦ 1.4K Β· πŸ“‹ 970 - 17% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 840 Β· πŸ“¦ 1.4K Β· πŸ“‹ 970 - 17% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 65K / month Β· πŸ“¦ 74 Β· ⏱️ 24.07.2023): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 64K / month Β· πŸ“¦ 74 Β· ⏱️ 24.07.2023): ``` pip install featuretools ``` @@ -5028,9 +5066,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge featuretools ```
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Ax (πŸ₯‡34 Β· ⭐ 2.1K) - Adaptive Experimentation Platform. MIT +
Ax (πŸ₯‡34 Β· ⭐ 2.2K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 270 Β· πŸ“¦ 560 Β· πŸ“‹ 610 - 8% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 270 Β· πŸ“¦ 560 Β· πŸ“‹ 610 - 8% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/facebook/Ax @@ -5051,7 +5089,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 1.9M / month Β· πŸ“¦ 490 Β· ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2M / month Β· πŸ“¦ 500 Β· ⏱️ 17.11.2021): ``` pip install hyperopt ``` @@ -5062,28 +5100,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (πŸ₯‡33 Β· ⭐ 2.8K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 330 Β· πŸ“¦ 700 Β· πŸ“‹ 450 - 15% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 330 Β· πŸ“¦ 700 Β· πŸ“‹ 450 - 15% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 200K / month Β· πŸ“¦ 31 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 190K / month Β· πŸ“¦ 31 Β· ⏱️ 11.08.2023): ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 87K Β· ⏱️ 11.08.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (πŸ“₯ 88K Β· ⏱️ 11.08.2023): ``` conda install -c conda-forge botorch ```
Keras Tuner (πŸ₯ˆ32 Β· ⭐ 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 380 Β· πŸ“¦ 2.7K Β· πŸ“‹ 460 - 43% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/keras-team/keras-tuner) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 380 Β· πŸ“¦ 2.8K Β· πŸ“‹ 460 - 43% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 210K / month Β· πŸ“¦ 58 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 210K / month Β· πŸ“¦ 59 Β· ⏱️ 12.10.2023): ``` pip install keras-tuner ``` @@ -5092,14 +5130,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge keras-tuner ```
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AutoKeras (πŸ₯ˆ31 Β· ⭐ 8.9K) - AutoML library for deep learning. Apache-2 +
AutoKeras (πŸ₯ˆ31 Β· ⭐ 9K) - 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“¦ 580 Β· πŸ“‹ 890 - 14% open Β· ⏱️ 02.10.2023): ``` git clone https://github.com/keras-team/autokeras ``` -- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 13K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): +- [PyPi](https://pypi.org/project/autokeras) (πŸ“₯ 14K / month Β· πŸ“¦ 11 Β· ⏱️ 30.04.2022): ``` pip install autokeras ``` @@ -5115,7 +5153,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install auto-sklearn ``` -- [Conda](https://anaconda.org/conda-forge/auto-sklearn) (πŸ“₯ 19K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/auto-sklearn) (πŸ“₯ 20K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge auto-sklearn ``` @@ -5132,46 +5170,46 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc pip install bayesian-optimization ```
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nevergrad (πŸ₯ˆ31 Β· ⭐ 3.6K) - A Python toolbox for performing gradient-free optimization. MIT +
nevergrad (πŸ₯ˆ31 Β· ⭐ 3.7K) - A Python toolbox for performing gradient-free optimization. MIT - [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 50 Β· πŸ”€ 340 Β· πŸ“¦ 550 Β· πŸ“‹ 290 - 40% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 78K / month Β· πŸ“¦ 27 Β· ⏱️ 10.10.2023): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 81K / month Β· πŸ“¦ 27 Β· ⏱️ 10.10.2023): ``` pip install nevergrad ``` -- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 42K Β· ⏱️ 21.09.2023): +- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 43K Β· ⏱️ 21.09.2023): ``` conda install -c conda-forge nevergrad ```
AutoGluon (πŸ₯ˆ29 Β· ⭐ 6.3K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 770 Β· πŸ“¦ 2 Β· πŸ“‹ 1.1K - 23% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 43K / month Β· πŸ“¦ 7 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 45K / month Β· πŸ“¦ 7 Β· ⏱️ 19.10.2023): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 4.1K Β· ⭐ 15 Β· ⏱️ 26.07.2023): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 4.2K Β· ⭐ 15 Β· ⏱️ 26.07.2023): ``` docker pull autogluon/autogluon ```
mljar-supervised (πŸ₯ˆ29 Β· ⭐ 2.8K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 360 Β· πŸ“¦ 88 Β· πŸ“‹ 580 - 21% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 360 Β· πŸ“¦ 89 Β· πŸ“‹ 580 - 20% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 6.7K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 6.2K / month Β· πŸ“¦ 2 Β· ⏱️ 26.09.2023): ``` pip install mljar-supervised ``` @@ -5199,43 +5237,43 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 7.8K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): +- [PyPi](https://pypi.org/project/gpyopt) (πŸ“₯ 7.6K / month Β· πŸ“¦ 38 Β· ⏱️ 19.03.2020): ``` pip install gpyopt ```
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FEDOT (πŸ₯ˆ23 Β· ⭐ 560) - Automated modeling and machine learning framework FEDOT. BSD-3 +
FEDOT (πŸ₯ˆ24 Β· ⭐ 560) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 77 Β· πŸ“¦ 40 Β· πŸ“‹ 490 - 15% open Β· ⏱️ 02.10.2023): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 77 Β· πŸ“¦ 40 Β· πŸ“‹ 490 - 15% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.07.2023): ``` pip install fedot ```
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Hyperactive (πŸ₯ˆ23 Β· ⭐ 470) - An optimization and data collection toolbox for convenient and fast.. MIT +
Hyperactive (πŸ₯‰23 Β· ⭐ 470) - An optimization and data collection toolbox for convenient and fast.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 41 Β· πŸ“₯ 130 Β· πŸ“¦ 21 Β· πŸ“‹ 62 - 17% open Β· ⏱️ 08.10.2023): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 41 Β· πŸ“₯ 130 Β· πŸ“¦ 21 Β· πŸ“‹ 62 - 17% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 1.3K / month Β· πŸ“¦ 5 Β· ⏱️ 27.08.2023): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.5K / month Β· πŸ“¦ 5 Β· ⏱️ 27.08.2023): ``` pip install hyperactive ```
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featurewiz (πŸ₯‰22 Β· ⭐ 470) - Use advanced feature engineering strategies and select best.. Apache-2 +
featurewiz (πŸ₯‰22 Β· ⭐ 480) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 75 Β· πŸ“¦ 53 Β· πŸ“‹ 71 - 2% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 75 Β· πŸ“¦ 53 Β· πŸ“‹ 72 - 4% open Β· ⏱️ 06.10.2023): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 9.6K / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2023): +- [PyPi](https://pypi.org/project/featurewiz) (πŸ“₯ 8.7K / month Β· πŸ“¦ 2 Β· ⏱️ 05.10.2023): ``` pip install featurewiz ``` @@ -5247,7 +5285,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1K / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2022): ``` pip install autoviml ``` @@ -5264,14 +5302,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc pip install igel ```
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AlphaPy (πŸ₯‰19 Β· ⭐ 960) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 +
AlphaPy (πŸ₯‰19 Β· ⭐ 970) - Automated Machine Learning [AutoML] with Python, scikit-learn, Keras,.. Apache-2 - [GitHub](https://github.com/ScottfreeLLC/AlphaPy) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 180 Β· πŸ“¦ 4 Β· πŸ“‹ 42 - 30% open Β· ⏱️ 31.08.2023): ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 130 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 140 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -5283,7 +5321,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/dragonfly/dragonfly ``` -- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): +- [PyPi](https://pypi.org/project/dragonfly-opt) (πŸ“₯ 38K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2022): ``` pip install dragonfly-opt ``` @@ -5295,28 +5333,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 280 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 260 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ```
Show 30 hidden projects... -- Optuna (πŸ₯‡39 Β· ⭐ 8.7K) - A hyperparameter optimization framework. ❗Unlicensed +- Optuna (πŸ₯‡39 Β· ⭐ 8.8K) - A hyperparameter optimization framework. ❗Unlicensed - TPOT (πŸ₯‡33 Β· ⭐ 9.3K) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - scikit-optimize (πŸ₯‡33 Β· ⭐ 2.7K Β· πŸ’€) - Sequential model-based optimization with a.. BSD-3 +- SMAC3 (πŸ₯ˆ26 Β· ⭐ 920) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - lazypredict (πŸ₯ˆ25 Β· ⭐ 2.2K Β· πŸ’€) - Lazy Predict help build a lot of basic models without much.. MIT -- SMAC3 (πŸ₯ˆ25 Β· ⭐ 910) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - Orion (πŸ₯ˆ25 Β· ⭐ 270) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 -- AdaNet (πŸ₯ˆ23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 -- Talos (πŸ₯ˆ23 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT +- AdaNet (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 +- Talos (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - Hyperparameter Optimization for TensorFlow, Keras and PyTorch. MIT - 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· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - HpBandSter (πŸ₯‰22 Β· ⭐ 590 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 -- lightwood (πŸ₯‰22 Β· ⭐ 380) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - Neuraxle (πŸ₯‰21 Β· ⭐ 580 Β· πŸ’€) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2 - optunity (πŸ₯‰21 Β· ⭐ 410 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 +- lightwood (πŸ₯‰21 Β· ⭐ 380) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 - sklearn-deap (πŸ₯‰20 Β· ⭐ 740 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 - shap-hypetune (πŸ₯‰18 Β· ⭐ 490 Β· πŸ’€) - A python package for simultaneous Hyperparameters Tuning and.. MIT @@ -5328,9 +5366,9 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - Xcessiv (πŸ₯‰15 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 - ENAS (πŸ₯‰13 Β· ⭐ 2.6K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - Auptimizer (πŸ₯‰12 Β· ⭐ 200 Β· πŸ’€) - An automatic ML model optimization tool. ❗️GPL-3.0 -- Hypermax (πŸ₯‰12 Β· ⭐ 110) - Better, faster hyper-parameter optimization. BSD-3 - model_search (πŸ₯‰11 Β· ⭐ 3.2K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 - Devol (πŸ₯‰11 Β· ⭐ 950 Β· πŸ’€) - Genetic neural architecture search with Keras. MIT +- Hypermax (πŸ₯‰11 Β· ⭐ 110) - Better, faster hyper-parameter optimization. BSD-3 - Hypertunity (πŸ₯‰9 Β· ⭐ 140 Β· πŸ’€) - A toolset for black-box hyperparameter optimisation. Apache-2

@@ -5348,7 +5386,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 390K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/gym) (πŸ“₯ 400K / month Β· πŸ“¦ 2.7K Β· ⏱️ 04.10.2022): ``` pip install gym ``` @@ -5364,7 +5402,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 32K / month Β· πŸ“¦ 5 Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 34K / month Β· πŸ“¦ 5 Β· ⏱️ 03.10.2023): ``` pip install tf-agents ``` @@ -5376,26 +5414,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 3.6K / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 3.4K / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2023): ``` pip install vizdoom ```
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FinRL (πŸ₯ˆ30 Β· ⭐ 8.2K) - FinRL: Financial Reinforcement Learning. MIT +
FinRL (πŸ₯ˆ29 Β· ⭐ 8.2K) - FinRL: Financial Reinforcement Learning. MIT - [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2K Β· πŸ“¦ 23 Β· πŸ“‹ 640 - 26% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.2K / month Β· ⏱️ 08.01.2022): +- [PyPi](https://pypi.org/project/finrl) (πŸ“₯ 1.1K / month Β· ⏱️ 08.01.2022): ``` pip install finrl ```
Acme (πŸ₯ˆ28 Β· ⭐ 3.2K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 170 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 400 Β· πŸ“¦ 170 Β· πŸ“‹ 260 - 21% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/deepmind/acme @@ -5404,19 +5442,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 7.6K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 7.7K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dm-acme ```
Dopamine (πŸ₯ˆ27 Β· ⭐ 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2 -- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 18 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 29.06.2023): +- [GitHub](https://github.com/google/dopamine) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 1.4K Β· πŸ“¦ 19 Β· πŸ“‹ 180 - 52% open Β· ⏱️ 29.06.2023): ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 32K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 36K / month Β· πŸ“¦ 36 Β· ⏱️ 21.09.2022): ``` pip install dopamine-rl ``` @@ -5428,31 +5466,31 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorlayer/tensorlayer ``` -- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1.4K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): +- [PyPi](https://pypi.org/project/tensorlayer) (πŸ“₯ 1.5K / month Β· πŸ“¦ 40 Β· ⏱️ 15.02.2022): ``` pip install tensorlayer ```
TensorForce (πŸ₯ˆ27 Β· ⭐ 3.2K) - Tensorforce: a TensorFlow library for applied.. Apache-2 -- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 83 Β· πŸ”€ 540 Β· πŸ“¦ 430 Β· πŸ“‹ 660 - 4% open Β· ⏱️ 14.08.2023): +- [GitHub](https://github.com/tensorforce/tensorforce) (πŸ‘¨β€πŸ’» 84 Β· πŸ”€ 540 Β· πŸ“¦ 430 Β· πŸ“‹ 660 - 5% open Β· ⏱️ 14.08.2023): ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 600 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 570 / month Β· πŸ“¦ 2 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ```
RLax (πŸ₯‰26 Β· ⭐ 1.1K) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 78 Β· πŸ“¦ 170 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 15.08.2023): +- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 78 Β· πŸ“¦ 170 Β· πŸ“‹ 30 - 40% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 290K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/rlax) (πŸ“₯ 320K / month Β· πŸ“¦ 2 Β· ⏱️ 09.01.2023): ``` pip install rlax ``` @@ -5464,7 +5502,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 590 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 550 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -5476,19 +5514,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/rlworkgroup/garage ``` -- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 460 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): +- [PyPi](https://pypi.org/project/garage) (πŸ“₯ 560 / month Β· πŸ“¦ 2 Β· ⏱️ 23.03.2021): ``` pip install garage ```
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ReAgent (πŸ₯‰24 Β· ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 +
ReAgent (πŸ₯‰22 Β· ⭐ 3.5K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 - [GitHub](https://github.com/facebookresearch/ReAgent) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 500 Β· πŸ“‹ 140 - 47% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 21 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 19 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ``` @@ -5512,7 +5550,7 @@ _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“₯ 65 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/rl_coach) (πŸ“₯ 68 / month Β· πŸ“¦ 2 Β· ⏱️ 10.10.2019): ``` pip install rl_coach ``` @@ -5531,8 +5569,8 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 8 hidden projects... -- baselines (πŸ₯ˆ29 Β· ⭐ 15K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - keras-rl (πŸ₯ˆ29 Β· ⭐ 5.4K Β· πŸ’€) - Deep Reinforcement Learning for Keras. MIT +- baselines (πŸ₯ˆ27 Β· ⭐ 15K Β· πŸ’€) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - Stable Baselines (πŸ₯‰24 Β· ⭐ 3.9K Β· πŸ’€) - A fork of OpenAI Baselines, implementations of.. MIT - ChainerRL (πŸ₯‰24 Β· ⭐ 1.1K Β· πŸ’€) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (πŸ₯‰22 Β· ⭐ 3.1K Β· πŸ’€) - TensorFlow Reinforcement Learning. Apache-2 @@ -5548,26 +5586,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst _Libraries for building and evaluating recommendation systems._ -
Recommenders (πŸ₯‡34 Β· ⭐ 16K) - Best Practices on Recommendation Systems. MIT +
Recommenders (πŸ₯‡34 Β· ⭐ 17K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 440 Β· πŸ“¦ 84 Β· πŸ“‹ 810 - 19% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.8K Β· πŸ“₯ 440 Β· πŸ“¦ 86 Β· πŸ“‹ 810 - 20% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 50K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 51K / month Β· πŸ“¦ 2 Β· ⏱️ 01.04.2022): ``` pip install recommenders ```
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implicit (πŸ₯‡32 Β· ⭐ 3.3K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT +
implicit (πŸ₯‡31 Β· ⭐ 3.3K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT -- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 580 Β· πŸ“¦ 1.1K Β· πŸ“‹ 480 - 15% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 600 Β· πŸ“¦ 1.1K Β· πŸ“‹ 480 - 15% open Β· ⏱️ 11.10.2023): ``` git clone https://github.com/benfred/implicit ``` -- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 130K / month Β· πŸ“¦ 38 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/implicit) (πŸ“₯ 170K / month Β· πŸ“¦ 38 Β· ⏱️ 29.09.2023): ``` pip install implicit ``` @@ -5578,12 +5616,12 @@ _Libraries for building and evaluating recommendation systems._
lightfm (πŸ₯ˆ30 Β· ⭐ 4.4K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 -- [GitHub](https://github.com/lyst/lightfm) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 660 Β· πŸ“¦ 1.2K Β· πŸ“‹ 490 - 27% open Β· ⏱️ 30.04.2023): +- [GitHub](https://github.com/lyst/lightfm) (πŸ‘¨β€πŸ’» 47 Β· πŸ”€ 670 Β· πŸ“¦ 1.2K Β· πŸ“‹ 490 - 27% open Β· ⏱️ 30.04.2023): ``` git clone https://github.com/lyst/lightfm ``` -- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 660K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): +- [PyPi](https://pypi.org/project/lightfm) (πŸ“₯ 670K / month Β· πŸ“¦ 47 Β· ⏱️ 27.11.2020): ``` pip install lightfm ``` @@ -5599,14 +5637,14 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 330K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (πŸ“₯ 350K / month Β· πŸ“¦ 1 Β· ⏱️ 03.02.2023): ``` pip install tensorflow-recommenders ```
scikit-surprise (πŸ₯ˆ28 Β· ⭐ 6K Β· πŸ’€) - A Python scikit for building and analyzing recommender.. BSD-3 -- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 960 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 27.01.2023): +- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 970 Β· πŸ“¦ 19 Β· πŸ“‹ 380 - 19% open Β· ⏱️ 27.01.2023): ``` git clone https://github.com/NicolasHug/Surprise @@ -5634,24 +5672,24 @@ _Libraries for building and evaluating recommendation systems._
torchrec (πŸ₯ˆ28 Β· ⭐ 1.5K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 280 Β· πŸ“¦ 66 Β· πŸ“‹ 220 - 58% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 280 Β· πŸ“¦ 68 Β· πŸ“‹ 220 - 57% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 72 / month Β· ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 71 / month Β· ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ```
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Cornac (πŸ₯‰27 Β· ⭐ 750) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +
Cornac (πŸ₯ˆ28 Β· ⭐ 750) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 170 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 25.09.2023): +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 120 Β· πŸ“¦ 180 Β· πŸ“‹ 130 - 5% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 100K / month Β· πŸ“¦ 16 Β· ⏱️ 22.07.2023): +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 110K / month Β· πŸ“¦ 16 Β· ⏱️ 22.07.2023): ``` pip install cornac ``` @@ -5662,12 +5700,12 @@ _Libraries for building and evaluating recommendation systems._
RecBole (πŸ₯‰26 Β· ⭐ 2.9K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 540 Β· πŸ“‹ 800 - 19% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (πŸ‘¨β€πŸ’» 69 Β· πŸ”€ 540 Β· πŸ“‹ 800 - 19% open Β· ⏱️ 14.10.2023): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.7K / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2022): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 2.9K / month Β· πŸ“¦ 2 Β· ⏱️ 25.02.2022): ``` pip install recbole ``` @@ -5692,11 +5730,11 @@ _Libraries for building and evaluating recommendation systems._ - lkpy (πŸ₯‰23 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· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. BSD-3 +- fastFM (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - fastFM: A Library for Factorization Machines. ❗Unlicensed - Spotlight (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - Deep recommender models using PyTorch. MIT -- Case Recommender (πŸ₯‰18 Β· ⭐ 440 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT -- Collie (πŸ₯‰16 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3 +- Case Recommender (πŸ₯‰18 Β· ⭐ 450 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - OpenRec (πŸ₯‰15 Β· ⭐ 400 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 +- Collie (πŸ₯‰15 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3

@@ -5708,12 +5746,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (πŸ₯‡35 Β· ⭐ 9K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“₯ 210 Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 1.9K Β· πŸ“₯ 230 Β· πŸ“‹ 3.5K - 4% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 4.5K / month Β· πŸ“¦ 5 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/syft) (πŸ“₯ 5.2K / month Β· πŸ“¦ 5 Β· ⏱️ 17.10.2023): ``` pip install syft ``` @@ -5725,7 +5763,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 30K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): +- [PyPi](https://pypi.org/project/opacus) (πŸ“₯ 29K / month Β· πŸ“¦ 17 Β· ⏱️ 06.05.2022): ``` pip install opacus ``` @@ -5741,7 +5779,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 15K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (πŸ“₯ 17K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): ``` pip install tensorflow-privacy ``` @@ -5758,14 +5796,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l pip install ETAF ```
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TFEncrypted (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - A Framework for Encrypted Machine Learning in.. Apache-2 +
TFEncrypted (πŸ₯‰25 Β· ⭐ 1.2K Β· πŸ’€) - A Framework for Encrypted Machine Learning in.. Apache-2 - [GitHub](https://github.com/tf-encrypted/tf-encrypted) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 200 Β· πŸ“¦ 64 Β· πŸ“‹ 430 - 32% open Β· ⏱️ 08.02.2023): ``` 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“₯ 410 / month Β· πŸ“¦ 9 Β· ⏱️ 16.11.2022): ``` pip install tf-encrypted ``` @@ -5777,14 +5815,14 @@ _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“₯ 320 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (πŸ“₯ 280 / month Β· πŸ“¦ 1 Β· ⏱️ 08.12.2022): ``` pip install crypten ```
Show 1 hidden projects... -- PipelineDP (πŸ₯‰19 Β· ⭐ 260) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- PipelineDP (πŸ₯‰20 Β· ⭐ 260) - PipelineDP is a Python framework for applying differentially.. Apache-2

@@ -5796,7 +5834,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 16K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 650 Β· πŸ”€ 3.6K Β· πŸ“¦ 25K Β· πŸ“‹ 3.4K - 36% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 660 Β· πŸ”€ 3.6K Β· πŸ“¦ 25K Β· πŸ“‹ 3.5K - 35% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/mlflow/mlflow @@ -5812,7 +5850,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (πŸ₯‡43 Β· ⭐ 6.4K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“¦ 190K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.6K Β· πŸ“¦ 190K Β· πŸ“‹ 1.8K - 34% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/tensorflow/tensorboard @@ -5821,35 +5859,35 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install tensorboard ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 4.3M Β· ⏱️ 28.09.2023): +- [Conda](https://anaconda.org/conda-forge/tensorboard) (πŸ“₯ 4.4M Β· ⏱️ 28.09.2023): ``` conda install -c conda-forge tensorboard ```
-
wandb client (πŸ₯‡41 Β· ⭐ 7.3K) - A tool for visualizing and tracking your machine learning.. MIT +
wandb client (πŸ₯‡41 Β· ⭐ 7.4K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“¦ 31K Β· πŸ“‹ 2.8K - 26% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 550 Β· πŸ“¦ 31K Β· πŸ“‹ 2.8K - 26% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 6.8M / month Β· πŸ“¦ 600 Β· ⏱️ 04.10.2023): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 6.9M / month Β· πŸ“¦ 600 Β· ⏱️ 04.10.2023): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 390K Β· ⏱️ 04.10.2023): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 400K Β· ⏱️ 04.10.2023): ``` conda install -c conda-forge wandb ```
DVC (πŸ₯‡40 Β· ⭐ 12K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 41K Β· πŸ“¦ 9.9K Β· πŸ“‹ 4.5K - 12% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 1.1K Β· πŸ“₯ 38K Β· πŸ“¦ 10K Β· πŸ“‹ 4.5K - 12% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 740K / month Β· πŸ“¦ 82 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 750K / month Β· πŸ“¦ 83 Β· ⏱️ 18.10.2023): ``` pip install dvc ``` @@ -5860,16 +5898,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
SageMaker SDK (πŸ₯ˆ38 Β· ⭐ 1.9K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1.4K - 35% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 400 Β· πŸ”€ 1K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1.4K - 35% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 29M / month Β· πŸ“¦ 84 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 28M / month Β· πŸ“¦ 85 Β· ⏱️ 18.10.2023): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 680K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 690K Β· ⏱️ 18.10.2023): ``` conda install -c conda-forge sagemaker-python-sdk ``` @@ -5881,11 +5919,11 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/pycaret/pycaret ``` -- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 230K / month Β· πŸ“¦ 14 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/pycaret) (πŸ“₯ 240K / month Β· πŸ“¦ 14 Β· ⏱️ 11.09.2023): ``` pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 39K Β· ⏱️ 08.08.2023): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 39K Β· ⏱️ 16.10.2023): ``` conda install -c conda-forge pycaret ``` @@ -5904,16 +5942,16 @@ _Libraries to organize, track, and visualize machine learning experiments._
snakemake (πŸ₯ˆ35 Β· ⭐ 2K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 460 Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.4K - 60% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 100K / month Β· πŸ“¦ 250 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 120K / month Β· πŸ“¦ 250 Β· ⏱️ 18.09.2023): ``` pip install snakemake ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 880K Β· ⏱️ 19.09.2023): +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 890K Β· ⏱️ 17.10.2023): ``` conda install -c bioconda snakemake ``` @@ -5934,96 +5972,96 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboardx ```
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ClearML (πŸ₯ˆ33 Β· ⭐ 4.8K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 +
Metaflow (πŸ₯ˆ33 Β· ⭐ 7.1K) - Build and manage real-life data science projects with ease!. Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 600 Β· πŸ“₯ 1.6K Β· πŸ“¦ 750 Β· πŸ“‹ 890 - 43% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 680 Β· πŸ“¦ 540 Β· πŸ“‹ 620 - 47% open Β· ⏱️ 18.10.2023): ``` - git clone https://github.com/allegroai/clearml + git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 230K / month Β· πŸ“¦ 13 Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 150K / month Β· πŸ“¦ 26 Β· ⏱️ 18.10.2023): ``` - pip install clearml + pip install metaflow ``` -- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (πŸ“₯ 30K Β· ⏱️ 05.10.2020): +- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 150K Β· ⏱️ 18.10.2023): ``` - docker pull allegroai/trains + conda install -c conda-forge metaflow ```
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aim (πŸ₯ˆ33 Β· ⭐ 4.3K) - Aim An easy-to-use modular observability for AI Systems. Extensible,.. Apache-2 +
ClearML (πŸ₯ˆ33 Β· ⭐ 4.8K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 250 Β· πŸ“¦ 330 Β· πŸ“‹ 940 - 31% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 600 Β· πŸ“₯ 1.6K Β· πŸ“¦ 760 Β· πŸ“‹ 890 - 43% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/aimhubio/aim + git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 120K / month Β· πŸ“¦ 15 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 240K / month Β· πŸ“¦ 13 Β· ⏱️ 14.10.2023): ``` - pip install aim + pip install clearml ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 39K Β· ⏱️ 16.06.2023): +- [Docker Hub](https://hub.docker.com/r/allegroai/trains) (πŸ“₯ 30K Β· ⏱️ 05.10.2020): ``` - conda install -c conda-forge aim + docker pull allegroai/trains ```
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Metaflow (πŸ₯ˆ32 Β· ⭐ 7K) - Build and manage real-life data science projects with ease!. Apache-2 +
kaggle (πŸ₯ˆ31 Β· ⭐ 5.6K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 680 Β· πŸ“¦ 540 Β· πŸ“‹ 610 - 47% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1K Β· πŸ“¦ 19 Β· πŸ“‹ 410 - 31% open Β· ⏱️ 17.07.2023): ``` - git clone https://github.com/Netflix/metaflow + git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 160K / month Β· πŸ“¦ 24 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 190K / month Β· πŸ“¦ 370 Β· ⏱️ 19.09.2023): ``` - pip install metaflow + pip install kaggle ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (πŸ“₯ 150K Β· ⏱️ 10.10.2023): +- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 140K Β· ⏱️ 18.07.2023): ``` - conda install -c conda-forge metaflow + conda install -c conda-forge kaggle ```
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kaggle (πŸ₯ˆ30 Β· ⭐ 5.6K) - Official Kaggle API. Apache-2 +
Neptune.ai (πŸ₯ˆ31 Β· ⭐ 410) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 1K Β· πŸ“¦ 18 Β· πŸ“‹ 410 - 31% open Β· ⏱️ 17.07.2023): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 49 Β· πŸ“‹ 230 - 16% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/Kaggle/kaggle-api + git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 180K / month Β· πŸ“¦ 370 Β· ⏱️ 19.09.2023): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 530K / month Β· πŸ“¦ 44 Β· ⏱️ 12.10.2023): ``` - pip install kaggle + pip install neptune-client ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 140K Β· ⏱️ 18.07.2023): +- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 220K Β· ⏱️ 10.10.2023): ``` - conda install -c conda-forge kaggle + conda install -c conda-forge neptune-client ```
VisualDL (πŸ₯ˆ30 Β· ⭐ 4.7K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 330 Β· πŸ“¦ 2.3K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 630 Β· πŸ“₯ 330 Β· πŸ“¦ 2.4K Β· πŸ“‹ 500 - 28% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 140K / month Β· πŸ“¦ 40 Β· ⏱️ 05.06.2023): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 150K / month Β· πŸ“¦ 40 Β· ⏱️ 05.06.2023): ``` pip install visualdl ```
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Neptune.ai (πŸ₯ˆ30 Β· ⭐ 410) - The MLOps stack component for experiment tracking. Apache-2 +
aim (πŸ₯ˆ30 Β· ⭐ 4.3K Β· πŸ“‰) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 48 Β· πŸ“‹ 230 - 16% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 58 Β· πŸ”€ 250 Β· πŸ“¦ 340 Β· πŸ“‹ 940 - 31% open Β· ⏱️ 18.10.2023): ``` - git clone https://github.com/neptune-ai/neptune-client + git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 44 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 130K / month Β· πŸ“¦ 15 Β· ⏱️ 18.10.2023): ``` - pip install neptune-client + pip install aim ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (πŸ“₯ 220K Β· ⏱️ 10.10.2023): +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 39K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge neptune-client + conda install -c conda-forge aim ```
sacred (πŸ₯ˆ29 Β· ⭐ 4.1K) - Sacred is a tool to help you configure, organize, log and reproduce.. MIT @@ -6033,7 +6071,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` 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“₯ 34K / month Β· πŸ“¦ 110 Β· ⏱️ 25.01.2023): ``` pip install sacred ``` @@ -6042,9 +6080,9 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge sacred ```
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ml-metadata (πŸ₯‰27 Β· ⭐ 560) - For recording and retrieving metadata associated with ML.. Apache-2 +
ml-metadata (πŸ₯‰28 Β· ⭐ 560) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 360 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/google/ml-metadata) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 120 Β· πŸ“₯ 2.1K Β· πŸ“¦ 360 Β· πŸ“‹ 100 - 26% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/google/ml-metadata @@ -6056,48 +6094,48 @@ _Libraries to organize, track, and visualize machine learning experiments._
quinn (πŸ₯‰27 Β· ⭐ 520) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 71 Β· πŸ“₯ 9 Β· πŸ“¦ 71 Β· πŸ“‹ 85 - 41% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 73 Β· πŸ“₯ 9 Β· πŸ“¦ 71 Β· πŸ“‹ 85 - 41% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 900K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/quinn) (πŸ“₯ 890K / month Β· πŸ“¦ 6 Β· ⏱️ 17.02.2023): ``` pip install quinn ```
Labml (πŸ₯‰26 Β· ⭐ 1.6K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 100 Β· πŸ“‹ 38 - 47% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 110 Β· πŸ“¦ 110 Β· πŸ“‹ 38 - 47% open Β· ⏱️ 22.09.2023): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 1.8K / month Β· πŸ“¦ 6 Β· ⏱️ 10.09.2023): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 1.7K / month Β· πŸ“¦ 6 Β· ⏱️ 10.09.2023): ``` pip install labml ```
TNT (πŸ₯‰26 Β· ⭐ 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 240 Β· πŸ“‹ 82 - 25% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 240 Β· πŸ“‹ 82 - 25% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.7K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 5.8K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): ``` pip install torchnet ```
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Guild AI (πŸ₯‰24 Β· ⭐ 820) - Experiment tracking, ML developer tools. Apache-2 +
Guild AI (πŸ₯‰25 Β· ⭐ 820) - Experiment tracking, ML developer tools. Apache-2 - [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 81 Β· πŸ“₯ 14 Β· πŸ“¦ 82 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.1K / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.4K / month Β· ⏱️ 11.05.2022): ``` pip install guildai ``` @@ -6109,7 +6147,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 1K / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 880 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ``` @@ -6121,7 +6159,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 130 / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 120 / month Β· ⏱️ 14.09.2021): ``` pip install studioml ``` @@ -6133,7 +6171,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 36 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 32 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ``` @@ -6141,7 +6179,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
Show 16 hidden projects... - Catalyst (πŸ₯ˆ29 Β· ⭐ 3.2K 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 +- knockknock (πŸ₯‰25 Β· ⭐ 2.7K Β· πŸ’€) - Knock Knock: Get notified when your training ends with only two.. MIT - livelossplot (πŸ₯‰25 Β· ⭐ 1.3K Β· πŸ’€) - Live training loss plot in Jupyter Notebook for Keras,.. MIT - gokart (πŸ₯‰24 Β· ⭐ 290) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT - SKLL (πŸ₯‰23 Β· ⭐ 540) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause @@ -6154,7 +6192,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ - chitra (πŸ₯‰17 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - steppy (πŸ₯‰16 Β· ⭐ 140 Β· πŸ’€) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (πŸ₯‰13 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 -- CometML (πŸ₯‰13 Β· πŸ“ˆ) - Supercharging Machine Learning. ❗Unlicensed +- CometML (πŸ₯‰13) - Supercharging Machine Learning. ❗Unlicensed - traintool (πŸ₯‰8 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2

@@ -6167,72 +6205,72 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 16K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 19K Β· πŸ“‹ 2.6K - 12% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.6K Β· πŸ“₯ 19K Β· πŸ“¦ 20K Β· πŸ“‹ 2.6K - 12% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 3.9M / month Β· πŸ“¦ 610 Β· ⏱️ 25.08.2023): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 4M / month Β· πŸ“¦ 610 Β· ⏱️ 25.08.2023): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 850K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 860K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge onnx ```
triton (πŸ₯‡41 Β· ⭐ 8.5K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 870 Β· πŸ“¦ 8.6K Β· πŸ“‹ 840 - 39% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/openai/triton) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 880 Β· πŸ“¦ 8.9K Β· πŸ“‹ 850 - 39% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 5.2M / month Β· πŸ“¦ 57 Β· ⏱️ 01.09.2023): +- [PyPi](https://pypi.org/project/triton) (πŸ“₯ 5.6M / month Β· πŸ“¦ 58 Β· ⏱️ 01.09.2023): ``` pip install triton ```
BentoML (πŸ₯ˆ35 Β· ⭐ 5.8K) - Build Production-Grade AI Applications. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 640 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.3K Β· πŸ“‹ 940 - 18% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 650 Β· πŸ“₯ 2.1K Β· πŸ“¦ 1.3K Β· πŸ“‹ 950 - 19% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 70K / month Β· πŸ“¦ 11 Β· ⏱️ 08.09.2023): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 68K / month Β· πŸ“¦ 11 Β· ⏱️ 12.10.2023): ``` pip install bentoml ```
TorchServe (πŸ₯ˆ35 Β· ⭐ 3.7K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 760 Β· πŸ“₯ 5K Β· πŸ“¦ 520 Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 760 Β· πŸ“₯ 5K Β· πŸ“¦ 520 Β· πŸ“‹ 1.4K - 21% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 37K / month Β· πŸ“¦ 11 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 37K / month Β· πŸ“¦ 13 Β· ⏱️ 12.10.2023): ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 120K Β· ⏱️ 28.08.2023): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 120K Β· ⏱️ 12.10.2023): ``` conda install -c pytorch torchserve ``` -- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.2M Β· ⭐ 21 Β· ⏱️ 28.08.2023): +- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.2M Β· ⭐ 21 Β· ⏱️ 12.10.2023): ``` docker pull pytorch/torchserve ```
huggingface_hub (πŸ₯ˆ35 Β· ⭐ 1.2K) - All the open source things related to the Hugging Face Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“‹ 590 - 17% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 300 Β· πŸ“‹ 610 - 17% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 19M / month Β· πŸ“¦ 470 Β· ⏱️ 10.10.2023): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 20M / month Β· πŸ“¦ 470 Β· ⏱️ 10.10.2023): ``` pip install huggingface_hub ``` @@ -6248,7 +6286,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 170K / month Β· πŸ“¦ 160 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 180K / month Β· πŸ“¦ 160 Β· ⏱️ 18.09.2023): ``` pip install coremltools ``` @@ -6259,12 +6297,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Hummingbird (πŸ₯ˆ26 Β· ⭐ 3.2K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 260 Β· πŸ“₯ 290 Β· πŸ“‹ 300 - 18% open Β· ⏱️ 23.09.2023): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 260 Β· πŸ“₯ 350 Β· πŸ“‹ 300 - 18% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 12K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 13K / month Β· πŸ“¦ 3 Β· ⏱️ 10.06.2020): ``` pip install hummingbird-ml ``` @@ -6280,56 +6318,56 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 630 / month Β· ⏱️ 12.11.2021): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 570 / month Β· ⏱️ 12.11.2021): ``` pip install hls4ml ``` -- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 6.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 6.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge hls4ml ```
m2cgen (πŸ₯‰24 Β· ⭐ 2.6K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT -- [GitHub](https://github.com/BayesWitnesses/m2cgen) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 220 Β· πŸ“₯ 54 Β· πŸ“¦ 160 Β· πŸ“‹ 120 - 39% open Β· ⏱️ 05.10.2022): +- [GitHub](https://github.com/BayesWitnesses/m2cgen) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 220 Β· πŸ“₯ 54 Β· πŸ“¦ 170 Β· πŸ“‹ 120 - 39% open Β· ⏱️ 05.10.2022): ``` git clone https://github.com/BayesWitnesses/m2cgen ``` -- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 14K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/m2cgen) (πŸ“₯ 17K / month Β· πŸ“¦ 3 Β· ⏱️ 26.04.2022): ``` pip install m2cgen ```
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nebullvm (πŸ₯‰22 Β· ⭐ 8.3K) - Developer toolkit for making AI models better. Apache-2 +
nebullvm (πŸ₯‰23 Β· ⭐ 8.3K) - Developer toolkit for making AI models better. Apache-2 -- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 650 Β· πŸ“‹ 200 - 48% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/nebuly-ai/nebuly) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 650 Β· πŸ“‹ 200 - 48% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 570 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 600 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ```
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cortex (πŸ₯‰22 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 +
cortex (πŸ₯‰23 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - [GitHub](https://github.com/cortexlabs/cortex) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 610 Β· πŸ“‹ 1.1K - 10% open Β· ⏱️ 04.03.2023): ``` git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/cortex) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 23.09.2022): ``` pip install cortex ```
Show 9 hidden projects... -- mmdnn (πŸ₯ˆ26 Β· ⭐ 5.7K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT -- sklearn-porter (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 -- Larq Compute Engine (πŸ₯‰20 Β· ⭐ 230) - Highly optimized inference engine for Binarized.. Apache-2 +- mmdnn (πŸ₯ˆ26 Β· ⭐ 5.8K Β· πŸ’€) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT +- sklearn-porter (πŸ₯‰23 Β· ⭐ 1.2K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 +- Larq Compute Engine (πŸ₯‰21 Β· ⭐ 230) - Highly optimized inference engine for Binarized.. Apache-2 - pytorch2keras (πŸ₯‰19 Β· ⭐ 840 Β· πŸ’€) - PyTorch to Keras model convertor. MIT - OMLT (πŸ₯‰19 Β· ⭐ 220) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - modelkit (πŸ₯‰17 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT @@ -6347,12 +6385,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡41 Β· ⭐ 20K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.9K Β· πŸ“¦ 14K Β· πŸ“‹ 2.3K - 60% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 3K Β· πŸ“¦ 14K Β· πŸ“‹ 2.3K - 60% open Β· ⏱️ 15.10.2023): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.3M / month): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 7.4M / month Β· πŸ“¦ 420 Β· ⏱️ 09.10.2023): ``` pip install shap ``` @@ -6361,9 +6399,9 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge shap ```
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arviz (πŸ₯‡34 Β· ⭐ 1.4K) - Exploratory analysis of Bayesian models with Python. Apache-2 +
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’» 150 Β· πŸ”€ 350 Β· πŸ“₯ 130 Β· πŸ“¦ 4.9K Β· πŸ“‹ 830 - 20% open Β· ⏱️ 13.09.2023): +- [GitHub](https://github.com/arviz-devs/arviz) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 350 Β· πŸ“₯ 130 Β· πŸ“¦ 5K Β· πŸ“‹ 830 - 20% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/arviz-devs/arviz @@ -6377,38 +6415,50 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge arviz ```
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Netron (πŸ₯‡33 Β· ⭐ 24K) - Visualizer for neural network, deep learning and machine learning.. MIT +
Netron (πŸ₯‡34 Β· ⭐ 24K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 26K Β· πŸ“¦ 10 Β· πŸ“‹ 990 - 2% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.6K Β· πŸ“₯ 59K Β· πŸ“¦ 10 Β· πŸ“‹ 1K - 2% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 16K / month Β· πŸ“¦ 73 Β· ⏱️ 08.10.2023): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 16K / month Β· πŸ“¦ 73 Β· ⏱️ 16.10.2023): + ``` + pip install netron + ``` +
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InterpretML (πŸ₯‡33 Β· ⭐ 5.7K) - Fit interpretable models. Explain blackbox machine learning. MIT + +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 670 Β· πŸ“¦ 540 Β· πŸ“‹ 390 - 17% open Β· ⏱️ 30.09.2023): + + ``` + git clone https://github.com/interpretml/interpret + ``` +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 71K / month): ``` - pip install netron + pip install interpret ```
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InterpretML (πŸ₯‡33 Β· ⭐ 5.7K) - Fit interpretable models. Explain blackbox machine learning. MIT +
evaluate (πŸ₯‡32 Β· ⭐ 1.6K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 680 Β· πŸ“¦ 530 Β· πŸ“‹ 390 - 17% open Β· ⏱️ 30.09.2023): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 180 Β· πŸ“¦ 4.3K Β· πŸ“‹ 220 - 44% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/interpretml/interpret + git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 65K / month Β· πŸ“¦ 28 Β· ⏱️ 26.08.2023): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 1M / month Β· πŸ“¦ 130 Β· ⏱️ 13.10.2023): ``` - pip install interpret + pip install evaluate ```
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DoWhy (πŸ₯‡31 Β· ⭐ 6.2K) - DoWhy is a Python library for causal inference that supports explicit.. MIT +
DoWhy (πŸ₯ˆ30 Β· ⭐ 6.2K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 850 Β· πŸ“₯ 33 Β· πŸ“¦ 300 Β· πŸ“‹ 410 - 30% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 860 Β· πŸ“₯ 33 Β· πŸ“¦ 300 Β· πŸ“‹ 410 - 30% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 39K / month): +- [PyPi](https://pypi.org/project/dowhy) (πŸ“₯ 38K / month Β· πŸ“¦ 7 Β· ⏱️ 05.09.2023): ``` pip install dowhy ``` @@ -6417,30 +6467,46 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge dowhy ```
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Captum (πŸ₯ˆ30 Β· ⭐ 4.2K) - Model interpretability and understanding for PyTorch. BSD-3 + +- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“¦ 1.5K Β· πŸ“‹ 480 - 32% open Β· ⏱️ 13.10.2023): + + ``` + git clone https://github.com/pytorch/captum + ``` +- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 130K / month): + ``` + pip install captum + ``` +- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 17K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge captum + ``` +
dtreeviz (πŸ₯ˆ30 Β· ⭐ 2.7K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 910 Β· πŸ“‹ 190 - 30% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 320 Β· πŸ“¦ 920 Β· πŸ“‹ 190 - 29% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 120K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 140K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): ``` pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 60K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 61K Β· ⏱️ 13.07.2023): ``` conda install -c conda-forge dtreeviz ```
explainerdashboard (πŸ₯ˆ30 Β· ⭐ 2.1K) - Quickly build Explainable AI dashboards that show the inner.. MIT -- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 290 Β· πŸ“¦ 370 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 01.08.2023): +- [GitHub](https://github.com/oegedijk/explainerdashboard) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 290 Β· πŸ“¦ 380 Β· πŸ“‹ 220 - 11% open Β· ⏱️ 01.08.2023): ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 40K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 49K / month Β· πŸ“¦ 9 Β· ⏱️ 01.08.2023): ``` pip install explainerdashboard ``` @@ -6449,38 +6515,30 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge explainerdashboard ```
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evaluate (πŸ₯ˆ30 Β· ⭐ 1.6K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 +
fairlearn (πŸ₯ˆ30 Β· ⭐ 1.7K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 180 Β· πŸ“¦ 4.2K Β· πŸ“‹ 220 - 47% open Β· ⏱️ 29.09.2023): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 360 Β· πŸ“¦ 2 Β· πŸ“‹ 460 - 38% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/huggingface/evaluate - ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 930K / month Β· πŸ“¦ 99 Β· ⏱️ 13.12.2022): - ``` - pip install evaluate + git clone https://github.com/fairlearn/fairlearn ``` -
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shapash (πŸ₯ˆ29 Β· ⭐ 2.5K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 - -- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 290 Β· πŸ“¦ 130 Β· πŸ“‹ 180 - 18% open Β· ⏱️ 20.09.2023): - +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 520K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): ``` - git clone https://github.com/MAIF/shapash + pip install fairlearn ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 8.4K / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2023): +- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 29K Β· ⏱️ 28.07.2023): ``` - pip install shapash + conda install -c conda-forge fairlearn ```
Alibi (πŸ₯ˆ29 Β· ⭐ 2.2K) - Algorithms for explaining machine learning models. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 520 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/SeldonIO/alibi) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 230 Β· πŸ“¦ 520 Β· πŸ“‹ 350 - 37% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 25K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2023): +- [PyPi](https://pypi.org/project/alibi) (πŸ“₯ 26K / month Β· πŸ“¦ 25 Β· ⏱️ 07.07.2023): ``` pip install alibi ``` @@ -6501,100 +6559,96 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge pyldavis ```
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fairlearn (πŸ₯ˆ29 Β· ⭐ 1.7K) - A Python package to assess and improve fairness of machine.. MIT +
imodels (πŸ₯ˆ29 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 360 Β· πŸ“¦ 2 Β· πŸ“‹ 450 - 38% open Β· ⏱️ 01.10.2023): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 110 Β· πŸ“¦ 56 Β· πŸ“‹ 77 - 33% open Β· ⏱️ 10.10.2023): ``` - git clone https://github.com/fairlearn/fairlearn - ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 390K / month Β· πŸ“¦ 24 Β· ⏱️ 27.07.2023): - ``` - pip install fairlearn + git clone https://github.com/csinva/imodels ``` -- [Conda](https://anaconda.org/conda-forge/fairlearn) (πŸ“₯ 29K Β· ⏱️ 28.07.2023): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 130K / month Β· πŸ“¦ 4 Β· ⏱️ 05.10.2023): ``` - conda install -c conda-forge fairlearn + pip install imodels ```
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Model Analysis (πŸ₯ˆ29 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 +
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 1K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 270 Β· πŸ“‹ 86 - 39% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 250 Β· πŸ“¦ 68 Β· πŸ“‹ 300 - 26% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/tensorflow/model-analysis + git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 330K / month Β· πŸ“¦ 23 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.4K / month Β· πŸ“¦ 3 Β· ⏱️ 17.10.2023): ``` - pip install tensorflow-model-analysis + pip install raiwidgets ```
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imodels (πŸ₯ˆ29 Β· ⭐ 1.2K) - Interpretable ML package for concise, transparent, and accurate.. MIT +
LIT (πŸ₯ˆ28 Β· ⭐ 3.2K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 100 Β· πŸ“¦ 55 Β· πŸ“‹ 74 - 32% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 340 Β· πŸ“¦ 24 Β· πŸ“‹ 160 - 52% open Β· ⏱️ 22.09.2023): ``` - git clone https://github.com/csinva/imodels + git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 78K / month): +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 3.2K / month Β· πŸ“¦ 1 Β· ⏱️ 22.09.2023): ``` - pip install imodels + pip install lit-nlp + ``` +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 65K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge lit-nlp ```
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responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 980) - Responsible AI Toolbox is a suite of tools providing.. MIT +
shapash (πŸ₯ˆ28 Β· ⭐ 2.5K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2 -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 250 Β· πŸ“¦ 68 Β· πŸ“‹ 300 - 26% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/MAIF/shapash) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 290 Β· πŸ“¦ 130 Β· πŸ“‹ 180 - 18% open Β· ⏱️ 20.09.2023): ``` - git clone https://github.com/microsoft/responsible-ai-toolbox + git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 5.5K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 8K / month Β· πŸ“¦ 2 Β· ⏱️ 20.09.2023): ``` - pip install raiwidgets + pip install shapash ```
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Captum (πŸ₯ˆ28 Β· ⭐ 4.2K) - Model interpretability and understanding for PyTorch. BSD-3 +
Explainability 360 (πŸ₯ˆ27 Β· ⭐ 1.4K) - Interpretability and explainability of data and.. Apache-2 -- [GitHub](https://github.com/pytorch/captum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 440 Β· πŸ“‹ 500 - 35% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 300 Β· πŸ“¦ 84 Β· πŸ“‹ 83 - 65% open Β· ⏱️ 22.08.2023): ``` - git clone https://github.com/pytorch/captum - ``` -- [PyPi](https://pypi.org/project/captum) (πŸ“₯ 130K / month Β· πŸ“¦ 46 Β· ⏱️ 27.12.2022): - ``` - pip install captum + git clone https://github.com/Trusted-AI/AIX360 ``` -- [Conda](https://anaconda.org/conda-forge/captum) (πŸ“₯ 16K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 760 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` - conda install -c conda-forge captum + pip install aix360 ```
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LIT (πŸ₯ˆ28 Β· ⭐ 3.2K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 +
Model Analysis (πŸ₯ˆ27 Β· ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 330 Β· πŸ“¦ 24 Β· πŸ“‹ 120 - 35% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 250 Β· πŸ“‹ 73 - 27% open Β· ⏱️ 11.10.2023): ``` - git clone https://github.com/PAIR-code/lit - ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 3K / month): - ``` - pip install lit-nlp + git clone https://github.com/tensorflow/model-analysis ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 65K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 310K / month): ``` - conda install -c conda-forge lit-nlp + pip install tensorflow-model-analysis ```
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Explainability 360 (πŸ₯ˆ27 Β· ⭐ 1.4K) - Interpretability and explainability of data and.. Apache-2 +
yellowbrick (πŸ₯ˆ26 Β· ⭐ 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 -- [GitHub](https://github.com/Trusted-AI/AIX360) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 290 Β· πŸ“¦ 84 Β· πŸ“‹ 74 - 60% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 550 Β· πŸ“‹ 700 - 12% open Β· ⏱️ 05.07.2023): ``` - git clone https://github.com/Trusted-AI/AIX360 + git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 610 / month): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 390K / month Β· πŸ“¦ 81 Β· ⏱️ 21.08.2022): ``` - pip install aix360 + pip install yellowbrick + ``` +- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 71K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge yellowbrick ```
Fairness 360 (πŸ₯ˆ26 Β· ⭐ 2.2K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 @@ -6604,65 +6658,65 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.6K / month Β· πŸ“¦ 12 Β· ⏱️ 04.03.2021): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 6.2K / month Β· πŸ“¦ 12 Β· ⏱️ 04.03.2021): ``` pip install aif360 ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 7K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 7.1K Β· ⏱️ 14.10.2023): ``` conda install -c conda-forge aif360 ```
CausalNex (πŸ₯ˆ26 Β· ⭐ 2K) - A Python library that helps data scientists to infer.. Apache-2 -- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 220 Β· πŸ“¦ 98 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/mckinsey/causalnex) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 230 Β· πŸ“¦ 98 Β· πŸ“‹ 130 - 12% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 5.2K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 4.8K / month Β· πŸ“¦ 3 Β· ⏱️ 11.11.2021): ``` pip install causalnex ```
iNNvestigate (πŸ₯ˆ26 Β· ⭐ 1.2K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 240 Β· πŸ“₯ 79 Β· πŸ“¦ 110 Β· πŸ“‹ 260 - 20% open Β· ⏱️ 14.09.2023): +- [GitHub](https://github.com/albermax/innvestigate) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 230 Β· πŸ“₯ 81 Β· πŸ“¦ 110 Β· πŸ“‹ 260 - 19% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 710 / month Β· πŸ“¦ 2 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 780 / month): ``` pip install innvestigate ```
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checklist (πŸ₯‰25 Β· ⭐ 1.9K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT +
DiCE (πŸ₯‰25 Β· ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT -- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 190 Β· πŸ“¦ 280 Β· πŸ“‹ 120 - 29% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“‹ 160 - 40% open Β· ⏱️ 09.10.2023): ``` - git clone https://github.com/marcotcr/checklist - ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.5K / month Β· πŸ“¦ 7 Β· ⏱️ 24.05.2021): - ``` - pip install checklist + git clone https://github.com/interpretml/DiCE ``` -- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 6.4K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 63K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2022): ``` - conda install -c conda-forge checklist + pip install dice-ml ```
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DiCE (πŸ₯‰25 Β· ⭐ 1.2K) - Generate Diverse Counterfactual Explanations for any machine.. MIT +
checklist (πŸ₯‰24 Β· ⭐ 1.9K) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT -- [GitHub](https://github.com/interpretml/DiCE) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 170 Β· πŸ“‹ 160 - 40% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/marcotcr/checklist) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 190 Β· πŸ“¦ 280 Β· πŸ“‹ 87 - 4% open Β· ⏱️ 26.09.2023): ``` - git clone https://github.com/interpretml/DiCE + git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 67K / month Β· πŸ“¦ 5 Β· ⏱️ 02.06.2022): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 3.5K / month): ``` - pip install dice-ml + pip install checklist + ``` +- [Conda](https://anaconda.org/conda-forge/checklist) (πŸ“₯ 6.4K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge checklist ```
keract (πŸ₯‰24 Β· ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT @@ -6672,25 +6726,29 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.5K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.4K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` pip install keract ```
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yellowbrick (πŸ₯‰23 Β· ⭐ 4.1K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 +
What-If Tool (πŸ₯‰22 Β· ⭐ 840) - Source code/webpage/demos for the What-If Tool. Apache-2 -- [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“‹ 690 - 12% open Β· ⏱️ 05.07.2023): +- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“‹ 140 - 58% open Β· ⏱️ 27.04.2023): ``` - git clone https://github.com/DistrictDataLabs/yellowbrick + git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 350K / month): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 3.8K / month Β· πŸ“¦ 4 Β· ⏱️ 12.10.2021): ``` - pip install yellowbrick + pip install witwidget ``` -- [Conda](https://anaconda.org/conda-forge/yellowbrick) (πŸ“₯ 70K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge yellowbrick + conda install -c conda-forge tensorboard-plugin-wit + ``` +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 910 / month Β· πŸ“¦ 1 Β· ⏱️ 12.10.2021): + ``` + npm install wit-widget ```
ecco (πŸ₯‰21 Β· ⭐ 1.8K) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 @@ -6700,38 +6758,18 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 500 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 470 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` -- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ecco) (πŸ“₯ 4.1K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ecco ```
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What-If Tool (πŸ₯‰21 Β· ⭐ 840) - Source code/webpage/demos for the What-If Tool. Apache-2 - -- [GitHub](https://github.com/PAIR-code/what-if-tool) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“‹ 120 - 53% open Β· ⏱️ 27.04.2023): - - ``` - git clone https://github.com/PAIR-code/what-if-tool - ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 4K / month): - ``` - pip install witwidget - ``` -- [Conda](https://anaconda.org/conda-forge/tensorboard-plugin-wit) (πŸ“₯ 2.1M Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge tensorboard-plugin-wit - ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 860 / month): - ``` - npm install wit-widget - ``` -
aequitas (πŸ₯‰21 Β· ⭐ 570) - Bias and Fairness Audit Toolkit. MIT -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 97 Β· πŸ“¦ 140 Β· πŸ“‹ 71 - 67% open Β· ⏱️ 20.08.2023): +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 97 Β· πŸ“¦ 140 Β· πŸ“‹ 65 - 64% open Β· ⏱️ 20.08.2023): ``` git clone https://github.com/dssg/aequitas @@ -6760,43 +6798,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/fairness-indicators ``` -- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 3.6K / month Β· ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 4.6K / month Β· ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
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LOFO (πŸ₯‰18 Β· ⭐ 770) - Leave One Feature Out Importance. MIT +
LOFO (πŸ₯‰16 Β· ⭐ 770) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 76 Β· πŸ“¦ 27 Β· πŸ“‹ 28 - 21% open Β· ⏱️ 14.04.2023): +- [GitHub](https://github.com/aerdem4/lofo-importance) (πŸ‘¨β€πŸ’» 5 Β· πŸ”€ 76 Β· πŸ“¦ 27 Β· πŸ“‹ 25 - 12% open Β· ⏱️ 14.04.2023): ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 1.1K / month Β· πŸ“¦ 2 Β· ⏱️ 27.04.2022): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 1.2K / month): ``` pip install lofo-importance ```
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sklearn-evaluation (πŸ₯‰18 Β· ⭐ 360 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT - -- [GitHub](https://github.com/edublancas/sklearn-evaluation) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 41 Β· ⏱️ 13.01.2023): - - ``` - git clone https://github.com/edublancas/sklearn-evaluation - ``` -- [PyPi](https://pypi.org/project/sklearn-evaluation) (πŸ“₯ 46K / month Β· πŸ“¦ 5 Β· ⏱️ 28.12.2020): - ``` - pip install sklearn-evaluation - ``` -
FlashTorch (πŸ₯‰15 Β· ⭐ 710) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT -- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 88 Β· πŸ“¦ 15 Β· πŸ“‹ 31 - 29% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/MisaOgura/flashtorch) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 88 Β· πŸ“¦ 15 Β· πŸ“‹ 32 - 31% open Β· ⏱️ 21.09.2023): ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 130 / month): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 120 / month Β· ⏱️ 29.05.2020): ``` pip install flashtorch ``` @@ -6808,7 +6834,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/interpret-text ``` -- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 44 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 36 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ``` @@ -6816,25 +6842,25 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
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· ⭐ 3.1K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 +- Deep Checks (πŸ₯ˆ28 Β· ⭐ 3.1K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗Unlicensed - scikit-plot (πŸ₯ˆ28 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT -- DALEX (πŸ₯‰25 Β· ⭐ 1.2K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 -- keras-vis (πŸ₯‰23 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT -- Lucid (πŸ₯‰22 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 -- eli5 (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT +- eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT +- Lucid (πŸ₯‰25 Β· ⭐ 4.6K Β· πŸ’€) - A collection of infrastructure and tools for research in.. Apache-2 +- keras-vis (πŸ₯‰24 Β· ⭐ 3K Β· πŸ’€) - Neural network visualization toolkit for keras. MIT +- DALEX (πŸ₯‰24 Β· ⭐ 1.2K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - tf-explain (πŸ₯‰22 Β· ⭐ 1K Β· πŸ’€) - Interpretability Methods for tf.keras models with Tensorflow.. MIT -- TreeInterpreter (πŸ₯‰22 Β· ⭐ 730 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 - random-forest-importances (πŸ₯‰22 Β· ⭐ 570 Β· πŸ’€) - Code to compute permutation and drop-column.. MIT -- deeplift (πŸ₯‰21 Β· ⭐ 760 Β· πŸ’€) - Public facing deeplift repo. MIT - Quantus (πŸ₯‰21 Β· ⭐ 420) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️GPL-3.0 -- tcav (πŸ₯‰19 Β· ⭐ 590 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 -- XAI (πŸ₯‰16 Β· ⭐ 940 Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT -- Skater (πŸ₯‰15 Β· ⭐ 1.1K) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- Anchor (πŸ₯‰15 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +- deeplift (πŸ₯‰20 Β· ⭐ 760 Β· πŸ’€) - Public facing deeplift repo. MIT +- TreeInterpreter (πŸ₯‰20 Β· ⭐ 730 Β· πŸ’€) - Package for interpreting scikit-learns decision tree.. BSD-3 +- tcav (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 +- Anchor (πŸ₯‰16 Β· ⭐ 760 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +- XAI (πŸ₯‰15 Β· ⭐ 940 Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - ExplainX.ai (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - Explainable AI framework for data scientists. Explain & debug any.. MIT - Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT -- contextual-ai (πŸ₯‰12 Β· ⭐ 84 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 -- bias-detector (πŸ₯‰10 Β· ⭐ 43 Β· πŸ’€) - Bias Detector is a python package for detecting bias in machine.. MIT +- contextual-ai (πŸ₯‰12 Β· ⭐ 85 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 +- sklearn-evaluation (πŸ₯‰10 Β· ⭐ 2 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT +- bias-detector (πŸ₯‰9 Β· ⭐ 43 Β· πŸ’€) - MIT

@@ -6846,34 +6872,34 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit πŸ”— ANN Benchmarks ( ⭐ 4.1K) - Benchmarks of approximate nearest neighbor libraries in Python. -
Milvus (πŸ₯‡40 Β· ⭐ 23K) - A cloud-native vector database, storage for next generation AI.. Apache-2 +
Milvus (πŸ₯‡40 Β· ⭐ 24K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“₯ 46K Β· πŸ“‹ 9.3K - 7% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.5K Β· πŸ“₯ 48K Β· πŸ“‹ 9.3K - 7% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 450K / month Β· πŸ“¦ 34 Β· ⏱️ 22.09.2023): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 460K / month Β· πŸ“¦ 34 Β· ⏱️ 22.09.2023): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 6.3M Β· ⭐ 37 Β· ⏱️ 12.10.2023): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 6.5M Β· ⭐ 37 Β· ⏱️ 19.10.2023): ``` docker pull milvusdb/milvus ```
Faiss (πŸ₯‡38 Β· ⭐ 25K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.2K - 16% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 3.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.2K - 16% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 450K / month Β· πŸ“¦ 34 Β· ⏱️ 22.09.2023): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 460K / month Β· πŸ“¦ 34 Β· ⏱️ 22.09.2023): ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 930K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/faiss) (πŸ“₯ 950K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge faiss ``` @@ -6885,23 +6911,23 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 970K / month Β· πŸ“¦ 270 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 1M / month Β· πŸ“¦ 270 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` -- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 360K Β· ⏱️ 25.09.2023): +- [Conda](https://anaconda.org/conda-forge/python-annoy) (πŸ“₯ 370K Β· ⏱️ 25.09.2023): ``` conda install -c conda-forge python-annoy ```
hnswlib (πŸ₯ˆ31 Β· ⭐ 3.5K Β· πŸ’€) - Header-only C++/python library for fast approximate nearest.. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 500 Β· πŸ“¦ 5.1K Β· πŸ“‹ 320 - 53% open Β· ⏱️ 05.02.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 500 Β· πŸ“¦ 5.2K Β· πŸ“‹ 320 - 53% open Β· ⏱️ 05.02.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 710K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 720K / month Β· πŸ“¦ 51 Β· ⏱️ 05.02.2023): ``` pip install hnswlib ``` @@ -6917,7 +6943,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 940K / month Β· πŸ“¦ 59 Β· ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 970K / month Β· πŸ“¦ 59 Β· ⏱️ 31.10.2022): ``` pip install pynndescent ``` @@ -6926,27 +6952,27 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
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USearch (πŸ₯‰27 Β· ⭐ 810) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2 +
USearch (πŸ₯‰27 Β· ⭐ 820) - Fastest Open-Source Search & Clustering engine for Vectors & Strings.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 40 Β· πŸ“₯ 240 Β· πŸ“¦ 19 Β· πŸ“‹ 61 - 32% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 40 Β· πŸ“₯ 310 Β· πŸ“¦ 21 Β· πŸ“‹ 62 - 32% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 33K / month Β· πŸ“¦ 1 Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 36K / month Β· πŸ“¦ 1 Β· ⏱️ 17.10.2023): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 2.5K / month Β· πŸ“¦ 2 Β· ⏱️ 25.09.2023): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 4.7K / month Β· πŸ“¦ 2 Β· ⏱️ 17.10.2023): ``` npm install usearch ``` -- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 41 Β· ⭐ 1 Β· ⏱️ 25.09.2023): +- [Docker Hub](https://hub.docker.com/r/unum/usearch) (πŸ“₯ 41 Β· ⭐ 1 Β· ⏱️ 17.10.2023): ``` docker pull unum/usearch ```
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NGT (πŸ₯‰23 Β· ⭐ 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 +
NGT (πŸ₯‰22 Β· ⭐ 1.1K) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 31.08.2023): @@ -6960,12 +6986,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
NearPy (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - Python framework for fast (approximated) nearest neighbour search in.. MIT -- [GitHub](https://github.com/pixelogik/NearPy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 140 Β· πŸ“¦ 90 Β· πŸ“‹ 64 - 39% open Β· ⏱️ 22.01.2023): +- [GitHub](https://github.com/pixelogik/NearPy) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 150 Β· πŸ“¦ 91 Β· πŸ“‹ 64 - 39% open Β· ⏱️ 22.01.2023): ``` git clone https://github.com/pixelogik/NearPy ``` -- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 670 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): +- [PyPi](https://pypi.org/project/NearPy) (πŸ“₯ 680 / month Β· πŸ“¦ 16 Β· ⏱️ 27.09.2016): ``` pip install NearPy ``` @@ -6977,7 +7003,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 970 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 350 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -6998,12 +7024,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (πŸ₯‡40 Β· ⭐ 7.8K) - Bayesian Modeling in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.1K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 1.8K Β· πŸ“₯ 1.9K Β· πŸ“¦ 2.1K Β· πŸ“‹ 3.1K - 6% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 460K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 470K / month Β· πŸ“¦ 250 Β· ⏱️ 15.03.2022): ``` pip install pymc3 ``` @@ -7014,7 +7040,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
tensorflow-probability (πŸ₯‡37 Β· ⭐ 4K) - 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· ⏱️ 11.10.2023): +- [GitHub](https://github.com/tensorflow/probability) (πŸ‘¨β€πŸ’» 480 Β· πŸ”€ 1.1K Β· πŸ“‹ 1.4K - 46% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/tensorflow/probability @@ -7023,35 +7049,35 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` pip install tensorflow-probability ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 110K Β· ⏱️ 23.07.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (πŸ“₯ 120K Β· ⏱️ 23.07.2023): ``` conda install -c conda-forge tensorflow-probability ```
Pyro (πŸ₯‡36 Β· ⭐ 8.2K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 970 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 07.10.2023): +- [GitHub](https://github.com/pyro-ppl/pyro) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 940 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 20% open Β· ⏱️ 07.10.2023): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 580K / month Β· πŸ“¦ 92 Β· ⏱️ 29.07.2023): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 520K / month): ``` pip install pyro-ppl ``` -- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 110K Β· ⏱️ 29.07.2023): +- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (πŸ“₯ 120K Β· ⏱️ 29.07.2023): ``` conda install -c conda-forge pyro-ppl ```
-
GPyTorch (πŸ₯ˆ32 Β· ⭐ 3.2K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT +
GPyTorch (πŸ₯ˆ31 Β· ⭐ 3.2K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT - [GitHub](https://github.com/cornellius-gp/gpytorch) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 20.09.2023): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 230K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 220K / month Β· πŸ“¦ 67 Β· ⏱️ 02.06.2023): ``` pip install gpytorch ``` @@ -7067,7 +7093,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 22K / month Β· πŸ“¦ 57 Β· ⏱️ 17.09.2023): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 23K / month Β· πŸ“¦ 57 Β· ⏱️ 17.09.2023): ``` pip install pomegranate ``` @@ -7078,12 +7104,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯ˆ31 Β· ⭐ 2.5K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 680 Β· πŸ“₯ 290 Β· πŸ“¦ 730 Β· πŸ“‹ 860 - 29% open Β· ⏱️ 21.09.2023): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 680 Β· πŸ“₯ 290 Β· πŸ“¦ 740 Β· πŸ“‹ 870 - 29% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 49K / month Β· πŸ“¦ 30 Β· ⏱️ 30.06.2022): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 52K / month Β· πŸ“¦ 31 Β· ⏱️ 16.10.2023): ``` pip install pgmpy ``` @@ -7095,7 +7121,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 46K / month Β· πŸ“¦ 36 Β· ⏱️ 09.08.2023): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 45K / month Β· πŸ“¦ 36 Β· ⏱️ 09.08.2023): ``` pip install gpflow ``` @@ -7106,12 +7132,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
emcee (πŸ₯ˆ30 Β· ⭐ 1.4K) - The Python ensemble sampling toolkit for affine-invariant MCMC. MIT -- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 70 Β· πŸ”€ 430 Β· πŸ“¦ 2.1K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/dfm/emcee) (πŸ‘¨β€πŸ’» 71 Β· πŸ”€ 430 Β· πŸ“¦ 2.1K Β· πŸ“‹ 280 - 17% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/dfm/emcee ``` -- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 91K / month Β· πŸ“¦ 350 Β· ⏱️ 10.05.2022): +- [PyPi](https://pypi.org/project/emcee) (πŸ“₯ 92K / month Β· πŸ“¦ 350 Β· ⏱️ 10.05.2022): ``` pip install emcee ``` @@ -7122,23 +7148,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
patsy (πŸ₯ˆ30 Β· ⭐ 900 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“¦ 80K Β· πŸ“‹ 150 - 48% open Β· ⏱️ 09.10.2022): +- [GitHub](https://github.com/pydata/patsy) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 100 Β· πŸ“¦ 81K Β· πŸ“‹ 150 - 48% open Β· ⏱️ 09.10.2022): ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 9.2M / month Β· πŸ“¦ 2.7K Β· ⏱️ 09.10.2022): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 9.4M / month Β· πŸ“¦ 2.7K Β· ⏱️ 09.10.2022): ``` pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 9.1M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 9.2M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge patsy ```
SALib (πŸ₯ˆ30 Β· ⭐ 750) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 220 Β· πŸ“¦ 910 Β· πŸ“‹ 320 - 15% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 220 Β· πŸ“¦ 910 Β· πŸ“‹ 320 - 15% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/SALib/SALib @@ -7175,11 +7201,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 17K / month Β· πŸ“¦ 8 Β· ⏱️ 02.07.2023): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 19K / month Β· πŸ“¦ 9 Β· ⏱️ 02.07.2023): ``` pip install bambi ``` -- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 26K Β· ⏱️ 02.07.2023): +- [Conda](https://anaconda.org/conda-forge/bambi) (πŸ“₯ 27K Β· ⏱️ 02.07.2023): ``` conda install -c conda-forge bambi ``` @@ -7191,23 +7217,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 02.10.2023): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 1.8K / month Β· πŸ“¦ 1 Β· ⏱️ 02.10.2023): ``` pip install baal ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 7.1K Β· ⏱️ 12.06.2023): +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 7.2K Β· ⏱️ 12.06.2023): ``` conda install -c conda-forge baal ```
Orbit (πŸ₯‰23 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”€ 130 Β· πŸ“¦ 38 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 130 Β· πŸ“¦ 39 Β· πŸ“‹ 390 - 16% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 99K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 100K / month Β· πŸ“¦ 1 Β· ⏱️ 29.01.2023): ``` pip install orbit-ml ``` @@ -7234,7 +7260,7 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (πŸ₯‡34 Β· ⭐ 4K) - 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”€ 1.1K Β· πŸ“¦ 430 Β· πŸ“‹ 860 - 14% open Β· ⏱️ 22.09.2023): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 1.1K Β· πŸ“¦ 440 Β· πŸ“‹ 860 - 14% open Β· ⏱️ 22.09.2023): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox @@ -7255,7 +7281,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 5.8K / month Β· πŸ“¦ 5 Β· ⏱️ 11.09.2023): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 5.1K / month Β· πŸ“¦ 5 Β· ⏱️ 11.09.2023): ``` pip install textattack ``` @@ -7271,7 +7297,7 @@ _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“₯ 1.1K / month Β· πŸ“¦ 12 Β· ⏱️ 24.07.2021): +- [PyPi](https://pypi.org/project/cleverhans) (πŸ“₯ 1K / month Β· πŸ“¦ 12 Β· ⏱️ 24.07.2021): ``` pip install cleverhans ``` @@ -7299,7 +7325,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuDF (πŸ₯‡33 Β· ⭐ 6K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 730 Β· πŸ“¦ 46 Β· πŸ“‹ 5.8K - 15% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 730 Β· πŸ“¦ 46 Β· πŸ“‹ 5.8K - 15% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/rapidsai/cudf @@ -7309,25 +7335,25 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c pip install cudf ```
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optimum (πŸ₯‡33 Β· ⭐ 1.6K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 +
optimum (πŸ₯‡32 Β· ⭐ 1.7K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 260 Β· πŸ“¦ 650 Β· πŸ“‹ 530 - 42% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 260 Β· πŸ“¦ 700 Β· πŸ“‹ 540 - 41% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/huggingface/optimum ``` -- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 450K / month Β· πŸ“¦ 31 Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/optimum) (πŸ“₯ 430K / month Β· πŸ“¦ 31 Β· ⏱️ 21.09.2023): ``` pip install optimum ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 9.2K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/optimum) (πŸ“₯ 9.3K Β· ⏱️ 18.06.2023): ``` conda install -c conda-forge optimum ```
gpustat (πŸ₯ˆ31 Β· ⭐ 3.6K) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 4.1K Β· πŸ“‹ 120 - 25% open Β· ⏱️ 22.08.2023): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 260 Β· πŸ“¦ 4.1K Β· πŸ“‹ 120 - 24% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/wookayin/gpustat @@ -7336,14 +7362,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` pip install gpustat ``` -- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 260K Β· ⏱️ 23.08.2023): +- [Conda](https://anaconda.org/conda-forge/gpustat) (πŸ“₯ 270K Β· ⏱️ 23.08.2023): ``` conda install -c conda-forge gpustat ```
Apex (πŸ₯ˆ30 Β· ⭐ 7.6K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/NVIDIA/apex) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.3K Β· πŸ“¦ 2K Β· πŸ“‹ 1.2K - 56% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/NVIDIA/apex @@ -7355,7 +7381,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (πŸ₯ˆ30 Β· ⭐ 3.6K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 470 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 470 Β· πŸ“‹ 2.3K - 34% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/rapidsai/cuml @@ -7372,7 +7398,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 33K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 34K / month Β· πŸ“¦ 220 Β· ⏱️ 21.12.2022): ``` pip install pycuda ``` @@ -7388,19 +7414,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/arrayfire/arrayfire ``` -- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 960 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 940 / month Β· πŸ“¦ 7 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.4K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 250 Β· πŸ“¦ 2 Β· πŸ“‹ 1.6K - 18% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 130 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 140 / month Β· πŸ“¦ 2 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -7416,7 +7442,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 18K / month Β· πŸ“¦ 200 Β· ⏱️ 08.08.2023): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 19K / month Β· πŸ“¦ 200 Β· ⏱️ 08.08.2023): ``` pip install cupy ``` @@ -7431,12 +7457,24 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (πŸ₯‰25 Β· ⭐ 4.6K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 590 Β· πŸ“‹ 1.5K - 18% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/NVIDIA/DALI ```
+
scikit-cuda (πŸ₯‰24 Β· ⭐ 940) - Python interface to GPU-powered libraries. BSD-3 + +- [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 170 Β· πŸ“¦ 270 Β· πŸ“‹ 220 - 23% open Β· ⏱️ 15.10.2023): + + ``` + git clone https://github.com/lebedov/scikit-cuda + ``` +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 700 / month Β· πŸ“¦ 49 Β· ⏱️ 27.05.2019): + ``` + pip install scikit-cuda + ``` +
Merlin (πŸ₯‰22 Β· ⭐ 610) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 - [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 92 Β· πŸ“‹ 440 - 44% open Β· ⏱️ 10.10.2023): @@ -7444,7 +7482,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 3.8K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 4.6K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install merlin-core ``` @@ -7456,7 +7494,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 170 / month Β· ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 160 / month Β· ⏱️ 13.04.2022): ``` pip install kp ``` @@ -7469,15 +7507,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c git clone https://github.com/rapidsai/cusignal ```
-
Show 7 hidden projects... +
Show 6 hidden projects... -- scikit-cuda (πŸ₯‰24 Β· ⭐ 940 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 - GPUtil (πŸ₯‰23 Β· ⭐ 1K Β· πŸ’€) - A Python module for getting the GPU status from NVIDA GPUs using nvidia-.. MIT -- py3nvml (πŸ₯‰23 Β· ⭐ 220 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 +- py3nvml (πŸ₯‰23 Β· ⭐ 230 Β· πŸ’€) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 - BlazingSQL (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - nvidia-ml-py3 (πŸ₯‰18 Β· ⭐ 120 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 +- SpeedTorch (πŸ₯‰15 Β· ⭐ 670 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 -- SpeedTorch (πŸ₯‰14 Β· ⭐ 670 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT

@@ -7489,7 +7526,7 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡38 Β· ⭐ 4K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 1.3K - 48% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/tensorflow/datasets @@ -7503,32 +7540,32 @@ _Libraries that extend TensorFlow with additional capabilities._ conda install -c conda-forge tensorflow-datasets ```
-
tensorflow-hub (πŸ₯‡34 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 +
TF Addons (πŸ₯‡35 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“¦ 13K Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 17.10.2023): ``` - git clone https://github.com/tensorflow/hub - ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.4M / month Β· πŸ“¦ 330 Β· ⏱️ 06.10.2023): - ``` - pip install tensorflow-hub + git clone https://github.com/tensorflow/addons ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 90K Β· ⏱️ 13.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 830K / month Β· πŸ“¦ 220 Β· ⏱️ 17.10.2023): ``` - conda install -c conda-forge tensorflow-hub + pip install tensorflow-addons ```
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TF Addons (πŸ₯‡34 Β· ⭐ 1.7K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 +
tensorflow-hub (πŸ₯ˆ34 Β· ⭐ 3.4K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/addons) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 590 Β· πŸ“¦ 13K Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 12.09.2023): +- [GitHub](https://github.com/tensorflow/hub) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 1.7K Β· πŸ“‹ 680 - 0% open Β· ⏱️ 19.10.2023): ``` - git clone https://github.com/tensorflow/addons + git clone https://github.com/tensorflow/hub + ``` +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 2.4M / month Β· πŸ“¦ 330 Β· ⏱️ 06.10.2023): ``` -- [PyPi](https://pypi.org/project/tensorflow-addons) (πŸ“₯ 840K / month Β· πŸ“¦ 210 Β· ⏱️ 12.07.2023): + pip install tensorflow-hub ``` - pip install tensorflow-addons +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 90K Β· ⏱️ 13.07.2023): + ``` + conda install -c conda-forge tensorflow-hub ```
tensor2tensor (πŸ₯ˆ32 Β· ⭐ 14K) - Library of deep learning models and datasets designed to.. Apache-2 @@ -7538,19 +7575,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/tensor2tensor ``` -- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.8K / month Β· πŸ“¦ 90 Β· ⏱️ 21.06.2017): +- [PyPi](https://pypi.org/project/tensor2tensor) (πŸ“₯ 4.2K / month Β· πŸ“¦ 90 Β· ⏱️ 21.06.2017): ``` pip install tensor2tensor ```
TFX (πŸ₯ˆ32 Β· ⭐ 2K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 920 - 10% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 670 Β· πŸ“‹ 920 - 10% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 46K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 48K / month Β· πŸ“¦ 14 Β· ⏱️ 06.09.2023): ``` pip install tfx ``` @@ -7569,12 +7606,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Transform (πŸ₯ˆ32 Β· ⭐ 970) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 210 Β· πŸ“¦ 1.5K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 05.10.2023): +- [GitHub](https://github.com/tensorflow/transform) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 210 Β· πŸ“¦ 1.5K Β· πŸ“‹ 220 - 20% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 810K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): +- [PyPi](https://pypi.org/project/tensorflow-transform) (πŸ“₯ 840K / month Β· πŸ“¦ 56 Β· ⏱️ 11.08.2023): ``` pip install tensorflow-transform ``` @@ -7586,7 +7623,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.1M / month Β· πŸ“¦ 33 Β· ⏱️ 08.09.2023): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3M / month Β· πŸ“¦ 33 Β· ⏱️ 08.09.2023): ``` pip install tensorflow-io ``` @@ -7598,7 +7635,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 70K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 69K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ``` @@ -7615,14 +7652,14 @@ _Libraries that extend TensorFlow with additional capabilities._ pip install neural-structured-learning ```
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TF Compression (πŸ₯‰22 Β· ⭐ 780) - Data compression in TensorFlow. Apache-2 +
TF Compression (πŸ₯‰23 Β· ⭐ 780) - Data compression in TensorFlow. Apache-2 - [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 240 Β· πŸ“‹ 98 - 7% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 6.7K / month Β· πŸ“¦ 2 Β· ⏱️ 26.07.2023): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 9.3K / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` pip install tensorflow-compression ``` @@ -7645,24 +7682,24 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡29 Β· ⭐ 1.4K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 89 Β· πŸ“¦ 250 Β· πŸ“‹ 240 - 25% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 93 Β· πŸ“¦ 260 Β· πŸ“‹ 250 - 25% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 21K / month Β· πŸ“¦ 33 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 21K / month Β· πŸ“¦ 36 Β· ⏱️ 13.10.2023): ``` pip install equinox ```
evojax (πŸ₯‰21 Β· ⭐ 700) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 59 Β· πŸ“¦ 12 Β· πŸ“‹ 27 - 37% open Β· ⏱️ 29.08.2023): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 58 Β· πŸ“¦ 12 Β· πŸ“‹ 27 - 37% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 520 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 450 / month Β· πŸ“¦ 2 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` @@ -7690,11 +7727,11 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn ``` -- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 5M / month Β· πŸ“¦ 330 Β· ⏱️ 08.07.2023): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 5.2M / month Β· πŸ“¦ 330 Β· ⏱️ 08.07.2023): ``` pip install imbalanced-learn ``` -- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 480K Β· ⏱️ 08.07.2023): +- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (πŸ“₯ 490K Β· ⏱️ 08.07.2023): ``` conda install -c conda-forge imbalanced-learn ``` @@ -7706,7 +7743,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 680K / month Β· πŸ“¦ 180 Β· ⏱️ 25.09.2023): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 750K / month Β· πŸ“¦ 180 Β· ⏱️ 25.09.2023): ``` pip install mlxtend ``` @@ -7717,16 +7754,16 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (πŸ₯‡34 Β· ⭐ 1.1K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 160 Β· πŸ“¦ 8.1K Β· πŸ“‹ 220 - 23% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 77 Β· πŸ”€ 160 Β· πŸ“¦ 8.1K Β· πŸ“‹ 220 - 23% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 150K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 170K / month Β· πŸ“¦ 17 Β· ⏱️ 21.07.2023): ``` pip install scikit-learn-intelex ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 210K Β· ⏱️ 25.07.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 220K Β· ⏱️ 25.07.2023): ``` conda install -c conda-forge scikit-learn-intelex ``` @@ -7754,59 +7791,59 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 81K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): +- [PyPi](https://pypi.org/project/scikit-multilearn) (πŸ“₯ 79K / month Β· πŸ“¦ 24 Β· ⏱️ 10.12.2018): ``` pip install scikit-multilearn ```
scikit-lego (πŸ₯ˆ27 Β· ⭐ 1.1K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 100 Β· πŸ“¦ 120 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 100 Β· πŸ“¦ 120 Β· πŸ“‹ 280 - 10% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 36K / month Β· πŸ“¦ 7 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/scikit-lego) (πŸ“₯ 36K / month): ``` pip install scikit-lego ``` -- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 43K Β· ⏱️ 19.07.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-lego) (πŸ“₯ 44K Β· ⏱️ 19.07.2023): ``` conda install -c conda-forge scikit-lego ```
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scikit-opt (πŸ₯‰23 Β· ⭐ 4.5K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT +
scikit-opt (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT - [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 900 Β· πŸ“¦ 150 Β· πŸ“‹ 170 - 36% open Β· ⏱️ 19.02.2023): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.5K / month Β· πŸ“¦ 8 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.5K / month): ``` pip install scikit-opt ```
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combo (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost +
combo (πŸ₯‰20 Β· ⭐ 630 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - [GitHub](https://github.com/yzhao062/combo) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 100 Β· πŸ“¦ 580 Β· πŸ“‹ 16 - 81% open Β· ⏱️ 14.01.2023): ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 47K / month Β· πŸ“¦ 5 Β· ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (πŸ“₯ 72K / month): ``` pip install combo ```
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DESlib (πŸ₯‰16 Β· ⭐ 440) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
DESlib (πŸ₯‰19 Β· ⭐ 440) - A Python library for dynamic classifier and ensemble selection. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 73 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 18.06.2023): +- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 73 Β· πŸ“¦ 44 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 18.06.2023): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 820 / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 850 / month Β· πŸ“¦ 2 Β· ⏱️ 08.02.2021): ``` pip install deslib ``` @@ -7814,12 +7851,12 @@ _Libraries that extend scikit-learn with additional capabilities._
Show 10 hidden projects... - scikit-survival (πŸ₯ˆ28 Β· ⭐ 990) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 -- sklearn-crfsuite (πŸ₯ˆ28 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT -- fancyimpute (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 +- fancyimpute (πŸ₯ˆ26 Β· ⭐ 1.2K Β· πŸ’€) - Multivariate imputation and matrix completion.. Apache-2 +- sklearn-crfsuite (πŸ₯‰24 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. ❗Unlicensed - sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - iterative-stratification (πŸ₯‰22 Β· ⭐ 800 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 -- skope-rules (πŸ₯‰21 Β· ⭐ 560 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause -- celer (πŸ₯‰19 Β· ⭐ 180) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 +- celer (πŸ₯‰20 Β· ⭐ 180) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 +- skope-rules (πŸ₯‰19 Β· ⭐ 560 Β· πŸ’€) - machine learning with logical rules in Python. ❗Unlicensed - scikit-tda (πŸ₯‰18 Β· ⭐ 450 Β· πŸ’€) - Topological Data Analysis for Python. MIT - skggm (πŸ₯‰17 Β· ⭐ 230) - Scikit-learn compatible estimation of general graphical models. MIT - dabl (πŸ₯‰14 Β· ⭐ 120 Β· πŸ’€) - Data Analysis Baseline Library. BSD-3 @@ -7832,30 +7869,30 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (πŸ₯‡38 Β· ⭐ 5.8K) - A simple way to train and use PyTorch models with multi-.. Apache-2 +
accelerate (πŸ₯‡38 Β· ⭐ 5.9K) - A simple way to train and use PyTorch models with multi-.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 610 Β· πŸ“¦ 15K Β· πŸ“‹ 1K - 10% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 620 Β· πŸ“¦ 16K Β· πŸ“‹ 1K - 10% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.2M / month Β· πŸ“¦ 330 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 7.1M / month Β· πŸ“¦ 330 Β· ⏱️ 14.09.2023): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 73K Β· ⏱️ 15.09.2023): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 76K Β· ⏱️ 15.09.2023): ``` conda install -c conda-forge accelerate ```
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PML (πŸ₯‡33 Β· ⭐ 5.5K) - The easiest way to use deep metric learning in your application. Modular,.. MIT +
PML (πŸ₯‡32 Β· ⭐ 5.5K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 630 Β· πŸ“¦ 920 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 25.07.2023): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 630 Β· πŸ“¦ 940 Β· πŸ“‹ 470 - 10% open Β· ⏱️ 25.07.2023): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 310K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 360K / month Β· πŸ“¦ 19 Β· ⏱️ 25.07.2023): ``` pip install pytorch-metric-learning ``` @@ -7866,13 +7903,13 @@ _Libraries that extend Pytorch with additional capabilities._
tinygrad (πŸ₯‡31 Β· ⭐ 20K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.1K Β· πŸ“¦ 27 Β· πŸ“‹ 380 - 16% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 2.1K Β· πŸ“¦ 28 Β· πŸ“‹ 380 - 16% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/geohot/tinygrad ```
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lightning-flash (πŸ₯‡31 Β· ⭐ 1.7K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 +
lightning-flash (πŸ₯‡30 Β· ⭐ 1.7K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 - [GitHub](https://github.com/Lightning-Universe/lightning-flash) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 210 Β· πŸ“¦ 250 Β· πŸ“‹ 520 - 4% open Β· ⏱️ 08.10.2023): @@ -7888,14 +7925,14 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge lightning-flash ```
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torchsde (πŸ₯ˆ30 Β· ⭐ 1.4K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 +
torchsde (πŸ₯‡30 Β· ⭐ 1.4K) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 -- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 170 Β· πŸ“¦ 1.6K Β· πŸ“‹ 68 - 27% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/google-research/torchsde) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 170 Β· πŸ“¦ 1.6K Β· πŸ“‹ 69 - 27% open Β· ⏱️ 26.09.2023): ``` git clone https://github.com/google-research/torchsde ``` -- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 1M / month Β· πŸ“¦ 10 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torchsde) (πŸ“₯ 980K / month Β· πŸ“¦ 10 Β· ⏱️ 26.09.2023): ``` pip install torchsde ``` @@ -7911,7 +7948,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 900K / month Β· πŸ“¦ 36 Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 830K / month Β· πŸ“¦ 36 Β· ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` @@ -7927,7 +7964,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 110K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 100K / month Β· πŸ“¦ 42 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` @@ -7936,14 +7973,14 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge torch-optimizer ```
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TabNet (πŸ₯ˆ27 Β· ⭐ 2.3K) - PyTorch implementation of TabNet paper :.. MIT +
TabNet (πŸ₯ˆ26 Β· ⭐ 2.3K) - PyTorch implementation of TabNet paper :.. MIT - [GitHub](https://github.com/dreamquark-ai/tabnet) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 440 Β· πŸ“‹ 310 - 16% open Β· ⏱️ 23.07.2023): ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 39K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 33K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` pip install pytorch-tabnet ``` @@ -7959,7 +7996,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 41K / month Β· πŸ“¦ 77 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 42K / month Β· πŸ“¦ 77 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` @@ -7975,19 +8012,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 19K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 18K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ```
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PyTorch Sparse (πŸ₯ˆ25 Β· ⭐ 880) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT +
PyTorch Sparse (πŸ₯‰24 Β· ⭐ 880) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT - [GitHub](https://github.com/rusty1s/pytorch_sparse) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 140 Β· πŸ“‹ 240 - 8% open Β· ⏱️ 05.10.2023): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 24K / month Β· πŸ“¦ 73 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 25K / month Β· πŸ“¦ 73 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` @@ -8003,19 +8040,19 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 1.8K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 1.9K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ```
madgrad (πŸ₯‰16 Β· ⭐ 790) - MADGRAD Optimization Method. MIT -- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 61 Β· πŸ“‹ 11 - 9% open Β· ⏱️ 11.04.2023): +- [GitHub](https://github.com/facebookresearch/madgrad) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 56 Β· πŸ“¦ 62 Β· πŸ“‹ 11 - 9% open Β· ⏱️ 11.04.2023): ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 3.1K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (πŸ“₯ 2.9K / month Β· πŸ“¦ 1 Β· ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -8024,21 +8061,21 @@ _Libraries that extend Pytorch with additional capabilities._ - pretrainedmodels (πŸ₯ˆ29 Β· ⭐ 8.8K Β· πŸ’€) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 - pytorch-summary (πŸ₯ˆ28 Β· ⭐ 3.9K Β· πŸ’€) - Model summary in PyTorch similar to `model.summary()`.. MIT -- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 +- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.6K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. 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· ⭐ 1.9K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT - Higher (πŸ₯‰23 Β· ⭐ 1.6K Β· πŸ’€) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - EfficientNets (πŸ₯‰23 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 - AdaBound (πŸ₯‰20 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - pytorchviz (πŸ₯‰20 Β· ⭐ 2.8K Β· πŸ’€) - A small package to create visualizations of PyTorch execution.. MIT +- Torchmeta (πŸ₯‰20 Β· ⭐ 1.9K Β· πŸ’€) - A collection of extensions and data-loaders for few-shot.. MIT - Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Poutyne (πŸ₯‰20 Β· ⭐ 550) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Performer Pytorch (πŸ₯‰19 Β· ⭐ 1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT -- micrograd (πŸ₯‰18 Β· ⭐ 6.3K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT -- Tez (πŸ₯‰17 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 +- micrograd (πŸ₯‰18 Β· ⭐ 6.4K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- Antialiased CNNs (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - Torch-Struct (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (πŸ₯‰17 Β· ⭐ 740 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT +- Tez (πŸ₯‰15 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 - Pywick (πŸ₯‰15 Β· ⭐ 390 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT - TorchDrift (πŸ₯‰14 Β· ⭐ 300 Β· πŸ’€) - Drift Detection for your PyTorch Models. Apache-2
@@ -8060,7 +8097,7 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (πŸ₯‡48 Β· ⭐ 11K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4K Β· πŸ“₯ 520K Β· πŸ“¦ 86K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4K Β· πŸ“₯ 520K Β· πŸ“¦ 88K Β· πŸ“‹ 13K - 36% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/sympy/sympy @@ -8076,12 +8113,12 @@ _Libraries for connecting to, operating, and querying databases._
scipy (πŸ₯‡47 Β· ⭐ 12K) - 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”€ 4.9K Β· πŸ“₯ 380K Β· πŸ“¦ 18 Β· πŸ“‹ 9.7K - 17% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 4.9K Β· πŸ“₯ 380K Β· πŸ“¦ 19 Β· πŸ“‹ 9.7K - 17% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 61M / month Β· πŸ“¦ 64K Β· ⏱️ 27.09.2023): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 63M / month Β· πŸ“¦ 64K Β· ⏱️ 27.09.2023): ``` pip install scipy ``` @@ -8092,7 +8129,7 @@ _Libraries for connecting to, operating, and querying databases._
Streamlit (πŸ₯‡41 Β· ⭐ 28K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.4K Β· πŸ“¦ 1K Β· πŸ“‹ 3.6K - 18% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 2.4K Β· πŸ“¦ 1K Β· πŸ“‹ 3.7K - 18% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/streamlit/streamlit @@ -8104,12 +8141,12 @@ _Libraries for connecting to, operating, and querying databases._
Gradio (πŸ₯‡41 Β· ⭐ 23K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 210 Β· πŸ”€ 1.5K Β· πŸ“¦ 15K Β· πŸ“‹ 2.9K - 14% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 1.6K Β· πŸ“¦ 15K Β· πŸ“‹ 3K - 14% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 3.1M / month Β· πŸ“¦ 160 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 2.7M / month Β· πŸ“¦ 170 Β· ⏱️ 19.10.2023): ``` pip install gradio ``` @@ -8130,14 +8167,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge autograd ```
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DeepChem (πŸ₯‡36 Β· ⭐ 4.6K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
DeepChem (πŸ₯‡36 Β· ⭐ 4.7K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.5K Β· πŸ“¦ 270 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.5K Β· πŸ“¦ 270 Β· πŸ“‹ 1.7K - 27% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 15K / month Β· πŸ“¦ 11 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 16K / month Β· πŸ“¦ 11 Β· ⏱️ 17.10.2023): ``` pip install deepchem ``` @@ -8146,14 +8183,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge deepchem ```
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Datasette (πŸ₯‡35 Β· ⭐ 8.3K) - An open source multi-tool for exploring and publishing data. Apache-2 +
Datasette (πŸ₯‡35 Β· ⭐ 8.4K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 590 Β· πŸ“₯ 58 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 32% open Β· ⏱️ 08.10.2023): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 590 Β· πŸ“₯ 58 Β· πŸ“¦ 1.1K Β· πŸ“‹ 1.7K - 31% open Β· ⏱️ 13.10.2023): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 33K / month Β· πŸ“¦ 200 Β· ⏱️ 08.10.2023): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 34K / month Β· πŸ“¦ 200 Β· ⏱️ 08.10.2023): ``` pip install datasette ``` @@ -8164,23 +8201,23 @@ _Libraries for connecting to, operating, and querying databases._
agate (πŸ₯‡35 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’» 52 Β· πŸ”€ 150 Β· πŸ“¦ 2.2K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 150 Β· πŸ“¦ 2.2K Β· πŸ“‹ 650 - 1% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 3.8M / month Β· πŸ“¦ 150 Β· ⏱️ 10.10.2023): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 4M / month Β· πŸ“¦ 150 Β· ⏱️ 18.10.2023): ``` pip install agate ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 150K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 150K Β· ⏱️ 18.10.2023): ``` conda install -c conda-forge agate ```
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carla (πŸ₯ˆ34 Β· ⭐ 9.7K) - Open-source simulator for autonomous driving research. MIT +
carla (πŸ₯ˆ34 Β· ⭐ 9.8K) - 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“¦ 550 Β· πŸ“‹ 4.6K - 18% open Β· ⏱️ 06.06.2023): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 2.9K Β· πŸ“¦ 560 Β· πŸ“‹ 4.7K - 18% open Β· ⏱️ 06.06.2023): ``` git clone https://github.com/carla-simulator/carla @@ -8197,30 +8234,30 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2023): +- [PyPi](https://pypi.org/project/paddlehub) (πŸ“₯ 5.1K / month Β· πŸ“¦ 6 Β· ⏱️ 20.09.2023): ``` pip install paddlehub ```
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hdbscan (πŸ₯ˆ33 Β· ⭐ 2.5K) - A high performance implementation of HDBSCAN clustering. BSD-3 +
PyOD (πŸ₯ˆ33 Β· ⭐ 7.5K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 460 Β· πŸ“¦ 2.7K Β· πŸ“‹ 490 - 66% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.9K Β· πŸ“‹ 330 - 57% open Β· ⏱️ 16.07.2023): ``` - git clone https://github.com/scikit-learn-contrib/hdbscan + git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 560K / month Β· πŸ“¦ 220 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 630K / month Β· πŸ“¦ 56 Β· ⏱️ 25.06.2023): ``` - pip install hdbscan + pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.7M Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 84K Β· ⏱️ 26.06.2023): ``` - conda install -c conda-forge hdbscan + conda install -c conda-forge pyod ```
Pythran (πŸ₯ˆ33 Β· ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.3K Β· πŸ“‹ 830 - 15% open Β· ⏱️ 06.09.2023): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 1.3K Β· πŸ“‹ 830 - 15% open Β· ⏱️ 15.10.2023): ``` git clone https://github.com/serge-sans-paille/pythran @@ -8229,78 +8266,94 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 410K Β· ⏱️ 21.09.2023): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 420K Β· ⏱️ 21.09.2023): ``` conda install -c conda-forge pythran ```
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PyOD (πŸ₯ˆ32 Β· ⭐ 7.5K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2 +
River (πŸ₯ˆ32 Β· ⭐ 4.5K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/yzhao062/pyod) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 1.3K Β· πŸ“¦ 2.9K Β· πŸ“‹ 330 - 57% open Β· ⏱️ 16.07.2023): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 500 Β· πŸ“¦ 370 Β· πŸ“‹ 460 - 4% open Β· ⏱️ 15.10.2023): ``` - git clone https://github.com/yzhao062/pyod + git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 600K / month Β· πŸ“¦ 56 Β· ⏱️ 25.06.2023): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 19K / month Β· πŸ“¦ 29 Β· ⏱️ 03.09.2023): ``` - pip install pyod + pip install river ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 83K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 50K Β· ⏱️ 06.10.2023): ``` - conda install -c conda-forge pyod + conda install -c conda-forge river ```
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River (πŸ₯ˆ32 Β· ⭐ 4.4K) - Online machine learning in Python. BSD-3 +
hdbscan (πŸ₯ˆ32 Β· ⭐ 2.5K) - A high performance implementation of HDBSCAN clustering. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 500 Β· πŸ“¦ 360 Β· πŸ“‹ 460 - 4% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 460 Β· πŸ“¦ 2.7K Β· πŸ“‹ 490 - 66% open Β· ⏱️ 04.10.2023): ``` - git clone https://github.com/online-ml/river + git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 20K / month Β· πŸ“¦ 29 Β· ⏱️ 03.09.2023): +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 590K / month Β· πŸ“¦ 220 Β· ⏱️ 18.07.2023): ``` - pip install river + pip install hdbscan ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 50K Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.7M Β· ⏱️ 06.10.2023): ``` - conda install -c conda-forge river + conda install -c conda-forge hdbscan ```
PennyLane (πŸ₯ˆ32 Β· ⭐ 1.9K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 480 Β· πŸ“₯ 70 Β· πŸ“¦ 640 Β· πŸ“‹ 1.1K - 27% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 480 Β· πŸ“₯ 70 Β· πŸ“¦ 640 Β· πŸ“‹ 1.1K - 27% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 35K / month Β· πŸ“¦ 58 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 36K / month Β· πŸ“¦ 58 Β· ⏱️ 28.08.2023): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 25K Β· ⏱️ 11.09.2023): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 26K Β· ⏱️ 11.09.2023): ``` conda install -c conda-forge pennylane ```
pyopencl (πŸ₯ˆ32 Β· ⭐ 990) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 240 Β· πŸ“¦ 1.7K Β· πŸ“‹ 330 - 21% open Β· ⏱️ 06.10.2023): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 95 Β· πŸ”€ 240 Β· πŸ“¦ 1.7K Β· πŸ“‹ 330 - 21% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 71K / month Β· πŸ“¦ 200 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 82K / month Β· πŸ“¦ 200 Β· ⏱️ 12.10.2023): ``` pip install pyopencl ``` -- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 950K Β· ⏱️ 07.10.2023): +- [Conda](https://anaconda.org/conda-forge/pyopencl) (πŸ“₯ 950K Β· ⏱️ 13.10.2023): ``` conda install -c conda-forge pyopencl ```
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pandas-ai (πŸ₯ˆ30 Β· ⭐ 8.7K Β· 🐣) - PandasAI is the Python library that integrates Gen AI into pandas,.. MIT +
datalad (πŸ₯ˆ31 Β· ⭐ 460) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 690 Β· πŸ“¦ 2.3K Β· πŸ“‹ 330 - 31% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 18.10.2023): + + ``` + git clone https://github.com/datalad/datalad + ``` +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 18K / month Β· πŸ“¦ 63 Β· ⏱️ 10.08.2023): + ``` + pip install datalad + ``` +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 400K Β· ⏱️ 10.08.2023): + ``` + conda install -c conda-forge datalad + ``` +
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pandas-ai (πŸ₯ˆ30 Β· ⭐ 8.8K Β· 🐣) - PandasAI is the Python library that integrates Gen AI into pandas,.. MIT + +- [GitHub](https://github.com/gventuri/pandas-ai) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 690 Β· πŸ“¦ 2.3K Β· πŸ“‹ 340 - 32% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/gventuri/pandas-ai @@ -8312,48 +8365,48 @@ _Libraries for connecting to, operating, and querying databases._
causalml (πŸ₯ˆ30 Β· ⭐ 4.3K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 690 Β· πŸ“¦ 170 Β· πŸ“‹ 360 - 24% open Β· ⏱️ 09.10.2023): +- [GitHub](https://github.com/uber/causalml) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 690 Β· πŸ“¦ 170 Β· πŸ“‹ 360 - 24% open Β· ⏱️ 16.10.2023): ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 260K / month Β· πŸ“¦ 1 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 210K / month Β· πŸ“¦ 1 Β· ⏱️ 28.08.2023): ``` pip install causalml ```
adapter-transformers (πŸ₯ˆ30 Β· ⭐ 1.9K) - Huggingface Transformers + Adapters =. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 280 Β· πŸ“¦ 230 Β· πŸ“‹ 350 - 18% open Β· ⏱️ 09.09.2023): +- [GitHub](https://github.com/adapter-hub/adapter-transformers) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 280 Β· πŸ“¦ 240 Β· πŸ“‹ 350 - 18% open Β· ⏱️ 09.09.2023): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 12K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 16K / month Β· πŸ“¦ 7 Β· ⏱️ 18.05.2022): ``` pip install adapter-transformers ```
avalanche (πŸ₯ˆ30 Β· ⭐ 1.5K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“₯ 4 Β· πŸ“¦ 49 Β· πŸ“‹ 740 - 11% open Β· ⏱️ 11.10.2023): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 240 Β· πŸ“₯ 4 Β· πŸ“¦ 50 Β· πŸ“‹ 750 - 11% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.5K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 28.07.2023): ``` pip install avalanche-lib ```
tensorly (πŸ₯ˆ30 Β· ⭐ 1.4K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 270 Β· πŸ“¦ 490 Β· πŸ“‹ 250 - 23% open Β· ⏱️ 27.09.2023): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 66 Β· πŸ”€ 270 Β· πŸ“¦ 490 Β· πŸ“‹ 250 - 23% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 20K / month Β· πŸ“¦ 49 Β· ⏱️ 14.01.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 24K / month Β· πŸ“¦ 49 Β· ⏱️ 14.01.2023): ``` pip install tensorly ``` @@ -8364,12 +8417,12 @@ _Libraries for connecting to, operating, and querying databases._
pyjanitor (πŸ₯ˆ30 Β· ⭐ 1.2K) - 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“¦ 480 Β· πŸ“‹ 540 - 19% open Β· ⏱️ 10.10.2023): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 160 Β· πŸ“¦ 480 Β· πŸ“‹ 540 - 19% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 32K / month Β· πŸ“¦ 18 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 31K / month Β· πŸ“¦ 18 Β· ⏱️ 18.09.2023): ``` pip install pyjanitor ``` @@ -8378,37 +8431,21 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyjanitor ```
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datalad (πŸ₯ˆ30 Β· ⭐ 460 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-annex. MIT - -- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 09.10.2023): - - ``` - git clone https://github.com/datalad/datalad - ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 17K / month Β· πŸ“¦ 63 Β· ⏱️ 10.08.2023): - ``` - pip install datalad - ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 400K Β· ⏱️ 10.08.2023): - ``` - conda install -c conda-forge datalad - ``` -
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anomalib (πŸ₯ˆ29 Β· ⭐ 2.4K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 +
anomalib (πŸ₯ˆ29 Β· ⭐ 2.5K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 440 Β· πŸ“₯ 2.9K Β· πŸ“¦ 31 Β· πŸ“‹ 580 - 10% open Β· ⏱️ 03.10.2023): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 450 Β· πŸ“₯ 3.1K Β· πŸ“¦ 31 Β· πŸ“‹ 580 - 10% open Β· ⏱️ 17.10.2023): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 17K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/anomalib) (πŸ“₯ 19K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` pip install anomalib ```
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alibi-detect (πŸ₯ˆ29 Β· ⭐ 1.9K) - Algorithms for outlier, adversarial and drift detection. Apache-2 +
alibi-detect (πŸ₯ˆ29 Β· ⭐ 2K) - Algorithms for outlier, adversarial and drift detection. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 200 Β· πŸ“¦ 370 Β· πŸ“‹ 370 - 36% open Β· ⏱️ 07.10.2023): +- [GitHub](https://github.com/SeldonIO/alibi-detect) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 200 Β· πŸ“¦ 370 Β· πŸ“‹ 370 - 36% open Β· ⏱️ 12.10.2023): ``` git clone https://github.com/SeldonIO/alibi-detect @@ -8425,7 +8462,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 72K / month Β· πŸ“¦ 10 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 75K / month Β· πŸ“¦ 10 Β· ⏱️ 11.10.2023): ``` pip install prince ``` @@ -8441,7 +8478,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` 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/tabpy) (πŸ“₯ 14K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` pip install tabpy ``` @@ -8457,11 +8494,11 @@ _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“₯ 8.2K / month Β· πŸ“¦ 12 Β· ⏱️ 09.10.2023): +- [PyPi](https://pypi.org/project/metric-learn) (πŸ“₯ 8.7K / month Β· πŸ“¦ 12 Β· ⏱️ 09.10.2023): ``` pip install metric-learn ``` -- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 10K Β· ⏱️ 09.10.2023): +- [Conda](https://anaconda.org/conda-forge/metric-learn) (πŸ“₯ 11K Β· ⏱️ 09.10.2023): ``` conda install -c conda-forge metric-learn ``` @@ -8473,7 +8510,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 160K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 150K / month Β· πŸ“¦ 33 Β· ⏱️ 14.04.2022): ``` pip install kmodes ``` @@ -8482,14 +8519,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge kmodes ```
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PySwarms (πŸ₯‰28 Β· ⭐ 1.1K) - A research toolkit for particle swarm optimization in Python. MIT +
PySwarms (πŸ₯‰28 Β· ⭐ 1.2K) - A research toolkit for particle swarm optimization in Python. MIT - [GitHub](https://github.com/ljvmiranda921/pyswarms) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 320 Β· πŸ“¦ 310 Β· πŸ“‹ 220 - 9% open Β· ⏱️ 06.06.2023): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 9K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 9.7K / month Β· πŸ“¦ 14 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ``` @@ -8525,7 +8562,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4.5K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` pip install trax ``` @@ -8537,11 +8574,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 100K / month Β· πŸ“¦ 3 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 120K / month Β· πŸ“¦ 3 Β· ⏱️ 19.10.2023): ``` pip install modAL ```
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dstack (πŸ₯‰26 Β· ⭐ 830) - An open-source toolkit for training, fine-tuning, and deployment of.. MPL-2.0 + +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 12 Β· πŸ“‹ 390 - 2% open Β· ⏱️ 19.10.2023): + + ``` + git clone https://github.com/dstackai/dstack + ``` +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 1.2K / month Β· ⏱️ 17.10.2023): + ``` + pip install dstack + ``` +
Feature Engine (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 - [GitHub](https://github.com/solegalli/feature_engine) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 270 Β· ⏱️ 07.12.2022): @@ -8549,11 +8598,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 160K / month Β· πŸ“¦ 86 Β· ⏱️ 18.09.2023): +- [PyPi](https://pypi.org/project/feature_engine) (πŸ“₯ 150K / month Β· πŸ“¦ 86 Β· ⏱️ 18.09.2023): ``` pip install feature_engine ``` -- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 40K Β· ⏱️ 19.09.2023): +- [Conda](https://anaconda.org/conda-forge/feature_engine) (πŸ“₯ 41K Β· ⏱️ 19.09.2023): ``` conda install -c conda-forge feature_engine ``` @@ -8565,7 +8614,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5.3K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (πŸ“₯ 5.5K / month Β· πŸ“¦ 13 Β· ⏱️ 03.05.2022): ``` pip install gplearn ``` @@ -8574,18 +8623,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge gplearn ```
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dstack (πŸ₯‰25 Β· ⭐ 820) - dstack is an open-source framework for orchestrating GPU workloads.. MPL-2.0 - -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 53 Β· πŸ“¦ 12 Β· πŸ“‹ 390 - 2% open Β· ⏱️ 12.10.2023): - - ``` - git clone https://github.com/dstackai/dstack - ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 800 / month Β· ⏱️ 12.10.2023): - ``` - pip install dstack - ``` -
BioPandas (πŸ₯‰25 Β· ⭐ 650) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“¦ 200 Β· πŸ“‹ 56 - 41% open Β· ⏱️ 19.09.2023): @@ -8593,7 +8630,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 62K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 81K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): ``` pip install biopandas ``` @@ -8621,23 +8658,35 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 55K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 58K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): ``` pip install pymars ```
MONAILabel (πŸ₯‰24 Β· ⭐ 460) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 52 Β· πŸ”€ 160 Β· πŸ“₯ 64K Β· πŸ“‹ 460 - 18% open Β· ⏱️ 12.10.2023): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 160 Β· πŸ“₯ 65K Β· πŸ“‹ 460 - 18% open Β· ⏱️ 18.10.2023): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 640 / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 330 / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ```
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SUOD (πŸ₯‰23 Β· ⭐ 350) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 + +- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 46 Β· πŸ“¦ 490 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 16.07.2023): + + ``` + git clone https://github.com/yzhao062/SUOD + ``` +- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 64K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): + ``` + pip install suod + ``` +
AstroML (πŸ₯‰22 Β· ⭐ 950 Β· πŸ’€) - 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“‹ 160 - 39% open Β· ⏱️ 12.12.2022): @@ -8654,18 +8703,6 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge astroml ```
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SUOD (πŸ₯‰22 Β· ⭐ 350) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2 - -- [GitHub](https://github.com/yzhao062/SUOD) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 46 Β· πŸ“¦ 490 Β· πŸ“‹ 12 - 75% open Β· ⏱️ 16.07.2023): - - ``` - git clone https://github.com/yzhao062/SUOD - ``` -- [PyPi](https://pypi.org/project/suod) (πŸ“₯ 39K / month Β· πŸ“¦ 2 Β· ⏱️ 01.10.2021): - ``` - pip install suod - ``` -
benchmark_VAE (πŸ₯‰21 Β· ⭐ 1.5K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 - [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 130 Β· πŸ“¦ 14 Β· πŸ“‹ 47 - 36% open Β· ⏱️ 11.10.2023): @@ -8673,19 +8710,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 490 / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 500 / month Β· ⏱️ 06.09.2023): ``` pip install pythae ```
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pykale (πŸ₯‰21 Β· ⭐ 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT +
pykale (πŸ₯‰20 Β· ⭐ 400) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT -- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 57 Β· πŸ“¦ 1 Β· πŸ“‹ 110 - 8% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/pykale/pykale) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 57 Β· πŸ“¦ 1 Β· πŸ“‹ 110 - 7% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 24 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 18 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ``` @@ -8697,7 +8734,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/kLabUM/rrcf ``` -- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 2.9K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): +- [PyPi](https://pypi.org/project/rrcf) (πŸ“₯ 3K / month Β· πŸ“¦ 8 Β· ⏱️ 10.06.2020): ``` pip install rrcf ``` @@ -8709,31 +8746,31 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 180 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 260 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ```
pymdp (πŸ₯‰16 Β· ⭐ 310) - A Python implementation of active inference for Markov Decision Processes. MIT -- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 53 Β· πŸ“¦ 6 Β· πŸ“‹ 36 - 33% open Β· ⏱️ 19.08.2023): +- [GitHub](https://github.com/infer-actively/pymdp) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 52 Β· πŸ“¦ 7 Β· πŸ“‹ 36 - 33% open Β· ⏱️ 19.08.2023): ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 120 / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 110 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ```
-
KD-Lib (πŸ₯‰15 Β· ⭐ 540 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT +
KD-Lib (πŸ₯‰15 Β· ⭐ 550 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - [GitHub](https://github.com/SforAiDl/KD_Lib) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 50 Β· πŸ“‹ 67 - 26% open Β· ⏱️ 01.03.2023): ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 40 / month Β· ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (πŸ“₯ 48 / month Β· ⏱️ 18.05.2022): ``` pip install KD-Lib ``` @@ -8744,8 +8781,8 @@ _Libraries for connecting to, operating, and querying databases._ - Cython BLIS (πŸ₯ˆ30 Β· ⭐ 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - pyclustering (πŸ₯‰28 Β· ⭐ 1.1K Β· πŸ’€) - pyclustering is a Python, C++ data mining library. BSD-3 - minisom (πŸ₯‰26 Β· ⭐ 1.3K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 -- metricflow (πŸ₯‰25 Β· ⭐ 960) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed -- findspark (πŸ₯‰24 Β· ⭐ 490 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 +- metricflow (πŸ₯‰25 Β· ⭐ 970) - MetricFlow allows you to define, build, and maintain metrics.. ❗Unlicensed +- findspark (πŸ₯‰24 Β· ⭐ 500 Β· πŸ’€) - Find pyspark to make it importable. BSD-3 - mlens (πŸ₯‰22 Β· ⭐ 810 Β· πŸ’€) - ML-Ensemble high performance ensemble learning. MIT - vecstack (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Python package for stacking (machine learning technique). MIT - impyute (πŸ₯‰21 Β· ⭐ 340 Β· πŸ’€) - Data imputations library to preprocess datasets with missing data. MIT @@ -8756,7 +8793,7 @@ _Libraries for connecting to, operating, and querying databases._ - baikal (πŸ₯‰18 Β· ⭐ 590 Β· πŸ’€) - A graph-based functional API for building complex scikit-learn.. BSD-3 - pandas-ml (πŸ₯‰18 Β· ⭐ 310 Β· πŸ’€) - pandas, scikit-learn, xgboost and seaborn integration. BSD-3 - traingenerator (πŸ₯‰14 Β· ⭐ 1.3K Β· πŸ’€) - A web app to generate template code for machine learning. MIT -- nylon (πŸ₯‰11 Β· ⭐ 82 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT +- nylon (πŸ₯‰12 Β· ⭐ 83 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
--- diff --git a/history/2023-10-19_changes.md b/history/2023-10-19_changes.md new file mode 100644 index 00000000..868c50aa --- /dev/null +++ b/history/2023-10-19_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._ + +- torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +- PyQtGraph (πŸ₯ˆ35 Β· ⭐ 3.4K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT +- opencv-python (πŸ₯ˆ33 Β· ⭐ 3.8K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- igraph (πŸ₯‡32 Β· ⭐ 1.2K Β· πŸ“ˆ) - Python interface for igraph. ❗️GPL-2.0 +- CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT +- langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- Augmentor (πŸ₯‰27 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT +- polyglot (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 +- eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT + +## 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._ + +- PyTorch Geometric (πŸ₯‡35 Β· ⭐ 19K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT +- UMAP (πŸ₯ˆ30 Β· ⭐ 6.5K Β· πŸ“‰) - Uniform Manifold Approximation and Projection. BSD-3 +- aim (πŸ₯ˆ30 Β· ⭐ 4.3K Β· πŸ“‰) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 +- geopy (πŸ₯‰30 Β· ⭐ 4.1K Β· πŸ“‰) - Geocoding library for Python. MIT +- sklearn-crfsuite (πŸ₯‰24 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. ❗Unlicensed +- PyTorch-BigGraph (πŸ₯‰21 Β· ⭐ 3.3K Β· πŸ“‰) - Generate embeddings from large-scale graph-structured.. ❗Unlicensed +- torch-cluster (πŸ₯‰21 Β· ⭐ 700 Β· πŸ“‰) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +- Headliner (πŸ₯‰10 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed +- sklearn-evaluation (πŸ₯‰10 Β· ⭐ 2 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT +- Skater (πŸ₯‰6 Β· πŸ“‰) - Python Library for Model Agnostic Interpretation. ❗Unlicensed + diff --git a/history/2023-10-19_projects.csv b/history/2023-10-19_projects.csv new file mode 100644 index 00000000..fde9cc82 --- /dev/null +++ b/history/2023-10-19_projects.csv @@ -0,0 +1,917 @@ +,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,helm_id,npm_id,npm_url,npm_monthly_downloads,trending,npm_latest_release_published_at,npm_dependent_project_count,updated_github_id,brew_id,apt_id,yum_id,conda_dependent_project_count,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 13:21:43.000,2023-10-15 02:08:47.000000,2023-10-15 02:08:43,1533.0,26.0,589.0,106.0,302.0,44.0,129.0,4116.0,Benchmarks of approximate nearest neighbor libraries in Python.,97.0,0,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 13:09:27.000,2023-10-13 13:37:54.000000,2023-10-13 13:37:52,273.0,22.0,151.0,52.0,163.0,1.0,2.0,2036.0,Collection of web-scraping and crawling libraries.,12.0,0,True,2023-10-05 17:09:45.000,2023.10.05,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2023-10-19 14:12:43.000000,2023-10-13 13:35:37,291.0,26.0,221.0,86.0,166.0,4.0,4.0,3195.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2023-10-13 13:35:50.000,2023.10.12,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2023-10-19 14:12:43.000000,2023-10-13 13:35:37,291.0,26.0,221.0,86.0,166.0,4.0,4.0,3195.0,Collection of database clients for python.,12.0,0,True,2023-10-13 13:35:50.000,2023.10.12,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2023-10-19 14:12:43.000000,2023-10-13 13:35:37,291.0,26.0,221.0,86.0,166.0,4.0,4.0,3195.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2023-10-13 13:35:50.000,2023.10.12,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2023-10-19 14:12:43.000000,2023-10-13 13:35:37,291.0,26.0,221.0,86.0,166.0,4.0,4.0,3195.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2023-10-13 13:35:50.000,2023.10.12,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-10-19 14:10:51.000000,2023-10-19 13:48:38,155241.0,4022.0,88876.0,7682.0,23465.0,2109.0,36255.0,180530.0,An Open Source Machine Learning Framework for Everyone.,4473.0,55,True,2023-09-26 22:51:39.000,2.14.0,184.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],327470.0,312230.0,https://pypi.org/project/tensorflow,2023-09-26 22:51:39.000,15240.0,17777461.0,19050260.0,https://anaconda.org/conda-forge/tensorflow,2023-10-11 01:21:15.294,4381739.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-10-19 12:48:50.573612,2225.0,74664386.0,1.0,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-10-19 14:07:14.000000,2023-10-19 12:55:18,65245.0,3004.0,19241.0,1675.0,74255.0,12517.0,25018.0,71774.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4410.0,53,True,2023-10-04 17:32:12.000,2.1.0,46.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],341406.0,330467.0,https://pypi.org/project/torch,2023-10-04 16:37:27.000,10939.0,13092084.0,13852101.0,https://anaconda.org/pytorch/pytorch,2023-10-03 19:01:54.763,18992920.0,,,,,1.0,25600.0,,,,,,,,,,,,,,,,,,, +8,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 09:43:38.000,2023-10-19 12:29:01.000000,2023-10-19 11:52:38,30550.0,360.0,24703.0,2154.0,16249.0,2253.0,8853.0,56184.0,scikit-learn: machine learning in Python.,2999.0,52,True,2023-09-21 07:50:52.000,1.3.1,72.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],648926.0,619149.0,https://pypi.org/project/scikit-learn,2023-09-21 07:50:52.000,29777.0,42889091.0,43498697.0,https://anaconda.org/conda-forge/scikit-learn,2023-10-06 10:34:32.875,24993442.0,,,,,1.0,906.0,,,,,,,,,,,,,,,,,,, +9,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-10-19 14:15:38.000000,2023-10-19 13:48:49,14248.0,765.0,22056.0,1059.0,13527.0,782.0,12388.0,113627.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2203.0,50,True,2023-10-18 21:15:29.000,4.34.1,122.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",109367.0,107015.0,https://pypi.org/project/transformers,2023-10-18 21:15:07.000,2352.0,18186704.0,18222299.0,https://anaconda.org/conda-forge/transformers,2023-10-19 03:27:36.447,1388105.0,,,,,1.0,143.0,,,,,,,,,,,,,,,,,,, +10,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2023-10-19 07:17:11.000000,2023-10-19 04:07:23,48746.0,803.0,7018.0,591.0,17266.0,1495.0,8662.0,18271.0,matplotlib: plotting with Python.,1589.0,50,True,2023-09-15 04:49:33.000,3.8.0,116.0,matplotlib,conda-forge/matplotlib,,,,1035446.0,973237.0,https://pypi.org/project/matplotlib,2023-09-15 04:49:33.000,62209.0,41123168.0,41646617.0,https://anaconda.org/conda-forge/matplotlib,2023-10-12 18:45:12.490,20937969.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +11,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-10-19 13:11:41.000000,2023-10-19 09:02:12,56475.0,1674.0,3997.0,291.0,12713.0,4826.0,8530.0,11442.0,A computer algebra system written in pure Python.,1256.0,48,True,2023-05-10 18:09:23.000,sympy-1.12,50.0,sympy,conda-forge/sympy,,,,92226.0,87528.0,https://pypi.org/project/sympy,2023-05-10 18:24:09.226,4698.0,9701206.0,9756081.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,4509503.0,,,,,1.0,517583.0,,,,,,,,,,,,,,,,,,, +12,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-10-19 15:13:40.000000,2023-10-18 10:54:16,31002.0,463.0,4859.0,345.0,9955.0,1676.0,8021.0,11807.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1544.0,47,True,2023-09-27 22:44:39.000,1.11.3,97.0,scipy,conda-forge/scipy,,,,64314.0,19.0,https://pypi.org/project/scipy,2023-09-27 21:55:42.000,64295.0,63031422.0,64261070.0,https://anaconda.org/conda-forge/scipy,2023-10-05 05:09:54.567,42901951.0,,,,,1.0,383973.0,,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-10-19 09:34:58.000000,2023-10-19 04:52:08,16398.0,349.0,1914.0,224.0,4425.0,73.0,2849.0,11172.0,Python Imaging Library (Fork).,448.0,47,True,2023-10-15 13:05:17.000,10.1.0,53.0,Pillow,conda-forge/pillow,,,,1380341.0,1380341.0,https://pypi.org/project/Pillow,,,69214999.0,70084920.0,https://anaconda.org/conda-forge/pillow,2023-10-16 03:42:18.439,33926922.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-10-19 09:09:04.000000,2023-10-18 13:42:50,9861.0,579.0,19399.0,1916.0,6650.0,376.0,11227.0,59540.0,Deep Learning for humans.,1245.0,46,True,2023-09-12 16:19:40.000,2.14.0,83.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],670.0,19.0,https://pypi.org/project/keras,2023-10-13 19:39:47.000,651.0,12893227.0,12975379.0,https://anaconda.org/conda-forge/keras,2023-07-28 12:24:35.264,3286089.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +15,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-10-19 13:28:30.000000,2023-10-19 12:23:24,38504.0,1060.0,27668.0,2037.0,43426.0,262.0,,37017.0,Apache Spark Python API.,2958.0,45,True,2023-09-26 20:30:58.000,3.5.0,40.0,pyspark,conda-forge/pyspark,,,['spark'],1161.0,,https://pypi.org/project/pyspark,2023-09-26 20:30:58.000,1161.0,25698454.0,25770664.0,https://anaconda.org/conda-forge/pyspark,2023-10-04 13:44:45.676,2888425.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,, +16,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-10-19 13:43:54.000000,2023-10-19 09:52:39,17947.0,1153.0,2303.0,316.0,11349.0,1563.0,3338.0,25029.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",587.0,45,True,2023-10-07 00:18:08.000,jax-v0.4.18,152.0,jax,conda-forge/jaxlib,,,,19061.0,18365.0,https://pypi.org/project/jax,2023-10-07 00:16:53.000,696.0,3708623.0,3732574.0,https://anaconda.org/conda-forge/jaxlib,2023-10-12 10:54:38.956,958078.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +17,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 00:45:57.000,2023-10-19 12:41:36.000000,2023-10-19 12:41:35,9822.0,359.0,3003.0,241.0,9559.0,701.0,5877.0,24898.0,"Deep learning framework to train, deploy, and ship AI products Lightning fast.",908.0,45,True,2023-10-12 15:35:02.000,2.1.0,260.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],25731.0,25022.0,https://pypi.org/project/pytorch-lightning,2023-10-12 15:35:02.000,709.0,3946794.0,3971663.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-10-12 22:54:18.350,978098.0,,,,,1.0,13348.0,,,,,,,,,,,,,,,,,,, +18,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-10-19 13:55:44.000000,2023-10-19 13:10:08,44265.0,1593.0,5341.0,727.0,40629.0,2046.0,16334.0,20932.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1112.0,45,True,2023-07-25 11:09:59.000,2.5.0,64.0,paddlepaddle,,,,['paddle'],4180.0,4104.0,https://pypi.org/project/paddlepaddle,2023-07-27 06:56:01.000,76.0,171841.0,172019.0,,,,,,,,1.0,15368.0,,,,,,,,,,,,,,,,,,, +19,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-10-19 11:18:36.000000,2023-10-19 08:31:36,20262.0,88.0,4122.0,447.0,5850.0,771.0,6700.0,18178.0,"Interactive Data Visualization in the browser, from Python.",671.0,45,True,2023-10-10 16:21:33.000,3.3.0,181.0,bokeh,conda-forge/bokeh,,,,81341.0,77586.0,https://pypi.org/project/bokeh,2023-10-10 19:03:58.000,3755.0,3480332.0,3802201.0,https://anaconda.org/conda-forge/bokeh,2023-10-11 08:08:05.962,12874774.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +20,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-10-19 14:46:45.000000,2023-10-19 13:22:14,19525.0,1250.0,4705.0,461.0,24591.0,3301.0,12547.0,28238.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,929.0,44,True,2023-10-09 17:47:23.000,ray-2.7.1,92.0,ray,conda-forge/ray-tune,,,,12239.0,11820.0,https://pypi.org/project/ray,2023-10-09 17:21:25.000,419.0,2381204.0,2386173.0,https://anaconda.org/conda-forge/ray-tune,2023-10-17 08:48:26.741,168912.0,,,,,1.0,93.0,,,,,,,,,,,,,,,,,,, +21,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-10-18 13:00:57.000000,2023-10-16 13:10:55,16058.0,86.0,4233.0,558.0,3898.0,93.0,5415.0,27358.0,Industrial-strength Natural Language Processing (NLP) in Python.,742.0,44,True,2023-10-16 16:11:22.000,3.7.2,226.0,spacy,conda-forge/spacy,,,,74678.0,71837.0,https://pypi.org/project/spacy,2023-10-16 16:09:47.000,2841.0,6911318.0,6992648.0,https://anaconda.org/conda-forge/spacy,2023-10-10 09:44:18.186,3253237.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +22,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-10-19 13:27:54.000000,2023-10-18 19:27:21,6599.0,150.0,8650.0,914.0,4733.0,364.0,4633.0,24855.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",626.0,44,True,2023-09-12 03:14:32.000,2.0.0,77.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,70983.0,69261.0,https://pypi.org/project/xgboost,2023-09-12 03:14:32.000,1722.0,11356718.0,11467681.0,https://anaconda.org/conda-forge/xgboost,2023-10-12 12:44:22.532,4325131.0,,,,,2.0,7306.0,,,,,,,,,,,,,,,,,,, +23,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-10-19 14:40:32.000000,2023-10-19 06:49:43,4811.0,419.0,3551.0,291.0,6607.0,1244.0,2225.0,15579.0,Open source platform for the machine learning lifecycle.,656.0,44,True,2023-09-17 21:48:08.000,2.7.1,82.0,mlflow,conda-forge/mlflow,,,,25509.0,25022.0,https://pypi.org/project/mlflow,2023-09-17 18:36:26.000,487.0,13681990.0,13721540.0,https://anaconda.org/conda-forge/mlflow,2023-09-21 15:54:18.751,1582029.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +24,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2023-10-16 17:58:22.000000,2023-10-12 17:19:40,6204.0,103.0,2369.0,279.0,1555.0,1368.0,1355.0,14296.0,The interactive graphing library for Python This project now includes Plotly Express!.,246.0,44,True,2023-09-15 15:44:22.000,5.17.0,96.0,plotly,conda-forge/plotly,,,,208549.0,208549.0,https://pypi.org/project/plotly,,,10729633.0,10889173.0,https://anaconda.org/conda-forge/plotly,2023-09-15 18:28:38.444,4939822.0,,,,,1.0,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,39057.0,,,,,,,,,,,,,,, +25,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2023-10-19 10:43:40.000000,2023-10-19 05:33:39,7456.0,118.0,3084.0,277.0,3488.0,388.0,2881.0,13288.0,Network Analysis in Python.,685.0,44,True,2023-10-19 04:10:50.000,networkx-3.2,91.0,networkx,conda-forge/networkx,,,,207235.0,192485.0,https://pypi.org/project/networkx,2023-10-19 04:01:15.000,14750.0,28125250.0,28485596.0,https://anaconda.org/conda-forge/networkx,2023-10-19 07:56:50.787,13693175.0,,,,,1.0,65.0,,,,,,,,,,,,,,,,,,, +26,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-10-17 10:16:01.000000,2023-10-17 10:16:00,15106.0,14.0,2754.0,277.0,3808.0,2653.0,2708.0,8925.0,Statsmodels: statistical modeling and econometrics in Python.,416.0,44,True,2023-05-05 11:36:02.375,0.14.0,35.0,statsmodels,conda-forge/statsmodels,,,,110081.0,104734.0,https://pypi.org/project/statsmodels,2023-05-05 11:36:02.375,5347.0,11204655.0,11495471.0,https://anaconda.org/conda-forge/statsmodels,2023-10-05 23:45:15.777,11632676.0,,,,,2.0,29.0,,,,,,,,,,,,,,,,,,, +27,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-10-19 14:01:51.000000,2023-10-18 21:46:43,2561.0,117.0,3596.0,440.0,2986.0,308.0,2254.0,15719.0,Open standard for machine learning interoperability.,297.0,43,True,2023-08-25 21:00:03.000,1.14.1,30.0,onnx,conda-forge/onnx,,,,20218.0,19606.0,https://pypi.org/project/onnx,2023-08-25 20:34:27.000,612.0,3972407.0,3994105.0,https://anaconda.org/conda-forge/onnx,2023-10-11 15:26:47.399,857199.0,,,,,1.0,19370.0,,,,,,,,,,,,,,,,,,, +28,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-10-13 14:08:53.000000,2023-10-10 01:05:51,3362.0,53.0,3771.0,441.0,3002.0,316.0,2843.0,15543.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",290.0,43,True,2023-09-12 02:08:33.000,4.1.0,34.0,lightgbm,conda-forge/lightgbm,,,,26886.0,26080.0,https://pypi.org/project/lightgbm,2023-09-12 02:08:33.000,806.0,7031940.0,7090338.0,https://anaconda.org/conda-forge/lightgbm,2023-10-06 14:39:46.228,2063965.0,,,,,2.0,204068.0,,,,,,,,,,,,,,,,,,, +29,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-10-19 14:25:32.000000,2023-10-19 14:25:32,7890.0,65.0,1645.0,212.0,5482.0,955.0,4037.0,11459.0,Parallel computing with task scheduling.,588.0,43,True,2023-10-14 01:01:42.000,2023.10.0,182.0,dask,conda-forge/dask,,,,56510.0,53499.0,https://pypi.org/project/dask,2023-10-14 01:01:42.000,3011.0,7875127.0,8126263.0,https://anaconda.org/conda-forge/dask,2023-10-14 03:22:25.060,10296590.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,, +30,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-10-09 05:20:51.000000,2023-10-01 17:43:20,3191.0,37.0,1812.0,255.0,1052.0,115.0,2296.0,11254.0,Statistical data visualization in Python.,200.0,43,True,2023-09-29 19:01:44.000,0.13.0,35.0,seaborn,conda-forge/seaborn,,,,324148.0,313064.0,https://pypi.org/project/seaborn,2023-09-29 18:58:33.000,11084.0,11315686.0,11506798.0,https://anaconda.org/conda-forge/seaborn,2023-10-02 16:03:37.621,7644415.0,,,,,1.0,279.0,,,,,,,,,,,,,,,,,,, +31,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-10-19 00:43:13.000000,2023-10-18 21:47:03,5686.0,91.0,1604.0,193.0,4828.0,640.0,1208.0,6378.0,TensorFlows Visualization Toolkit.,307.0,43,True,2023-09-27 23:37:16.000,2.14.1,54.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],195857.0,193058.0,https://pypi.org/project/tensorboard,2023-09-27 23:37:16.000,2799.0,21166492.0,21275311.0,https://anaconda.org/conda-forge/tensorboard,2023-09-28 16:22:20.856,4352762.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +32,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-10-19 11:34:45.000000,2023-10-18 17:16:43,3715.0,157.0,6768.0,395.0,5044.0,931.0,2257.0,14678.0,"Datasets, Transforms and Models specific to Computer Vision.",556.0,42,True,2023-10-04 17:32:50.000,0.16.0,38.0,torchvision,conda-forge/torchvision,,,['pytorch'],4675.0,19.0,https://pypi.org/project/torchvision,2023-10-04 17:02:21.000,4656.0,8655558.0,8684764.0,https://anaconda.org/conda-forge/torchvision,2023-10-02 13:13:36.301,892751.0,,,,,1.0,31889.0,,,,,4.0,,,,,,,,,,,,,, +33,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2023-09-28 08:36:01.000000,2023-09-28 08:36:01,14447.0,2.0,2781.0,465.0,1429.0,267.0,1486.0,12430.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,444.0,42,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,238163.0,225510.0,https://pypi.org/project/nltk,2023-01-02 22:02:43.849,12653.0,12376763.0,12403308.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2282885.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +34,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-10-18 18:57:26.000000,2023-10-18 18:57:22,4537.0,58.0,2024.0,1700.0,4373.0,227.0,2546.0,11244.0,WebGL2 powered visualization framework.,239.0,42,True,2023-10-11 09:15:23.387,8.9.31,617.0,pydeck,conda-forge/pydeck,,,['jupyter'],7142.0,6634.0,https://pypi.org/project/pydeck,2023-04-15 06:29:01.705,40.0,1513199.0,2028820.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,451680.0,,,,,1.0,,,deck.gl,https://www.npmjs.com/package/deck.gl,505356.0,,2023-10-18 17:37:17.808,468.0,,,,,,,,,,,, +35,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-10-19 14:34:01.000000,2023-10-19 14:34:01,3581.0,61.0,761.0,145.0,1277.0,185.0,1704.0,8507.0,Declarative statistical visualization library for Python.,158.0,42,True,2023-10-03 18:18:45.000,5.1.2,38.0,altair,conda-forge/altair,,,,80825.0,80215.0,https://pypi.org/project/altair,2023-10-03 17:40:10.000,610.0,14770025.0,14863355.0,https://anaconda.org/conda-forge/altair,2023-10-03 20:26:07.376,2053243.0,,,,,1.0,89.0,,,,,,,,,,,,,,,,,,, +36,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2023-10-19 07:08:36.000000,2023-10-19 06:35:51,13760.0,106.0,2214.0,186.0,4297.0,742.0,2009.0,5628.0,Image processing in Python.,632.0,42,False,2023-10-03 21:36:37.000,0.22.0,59.0,scikit-image,conda-forge/scikit-image,,,,167209.0,156987.0,https://pypi.org/project/scikit-image,2023-10-03 21:35:27.000,10222.0,9563443.0,9705589.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,5685849.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +37,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2023-10-19 10:51:48.000000,2023-10-18 23:36:20,1883.0,201.0,3368.0,299.0,2213.0,804.0,1403.0,28903.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",254.0,41,True,2023-10-09 16:56:27.000,0.11.1,73.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],4585.0,4506.0,https://pypi.org/project/deepspeed,2023-10-09 16:56:27.000,79.0,363525.0,363907.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,17220.0,1.0,,,,,,,,,,,,,,,,,,,, +38,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-10-19 06:35:47.000000,2023-10-19 01:41:31,5883.0,257.0,2422.0,304.0,3829.0,662.0,2990.0,27979.0,Streamlit A faster way to build and share data apps.,201.0,41,True,2023-10-03 23:30:45.000,1.27.2,208.0,streamlit,,,,,2114.0,1020.0,https://pypi.org/project/streamlit,2023-10-03 23:30:37.000,1094.0,2341672.0,2341672.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +39,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 05:51:12.000,2023-10-19 14:16:29.000000,2023-10-19 12:58:52,2040.0,122.0,4269.0,302.0,396.0,69.0,739.0,27190.0,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (ViT),..",115.0,41,True,2023-09-02 19:49:58.000,0.9.7,50.0,timm,conda-forge/timm,,,['pytorch'],17638.0,17345.0,https://pypi.org/project/timm,2023-09-02 18:21:09.000,293.0,3300677.0,3408934.0,https://anaconda.org/conda-forge/timm,2023-09-05 19:27:45.010,102819.0,,,,,1.0,5597920.0,,,,,,,,huggingface/pytorch-image-models,,,,,,,,,,, +40,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-10-19 14:37:30.000000,2023-10-19 14:28:58,5792.0,348.0,1563.0,139.0,2679.0,421.0,2532.0,22765.0,"Wrap UIs around any model, share with anyone.",215.0,41,True,2023-10-19 14:37:30.000,3.50.1,518.0,gradio,,,,,15439.0,15266.0,https://pypi.org/project/gradio,2023-10-19 14:37:30.000,173.0,2743261.0,2743261.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +41,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2023-10-19 13:25:08.000000,2023-10-15 09:37:41,2548.0,104.0,3019.0,258.0,744.0,1403.0,926.0,20284.0,A game theoretic approach to explain the output of any machine learning model.,224.0,41,True,2023-10-09 10:28:05.000,0.43.0,99.0,shap,conda-forge/shap,,,,14181.0,13762.0,https://pypi.org/project/shap,2023-10-09 10:28:05.000,419.0,7410298.0,7473150.0,https://anaconda.org/conda-forge/shap,2023-10-09 21:10:21.871,2136992.0,,,,,1.0,,,,,,,,,shap/shap,,,,,,,,,,, +42,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-10-01 14:51:01.000000,2023-10-01 14:51:00,4509.0,40.0,4376.0,435.0,1679.0,395.0,1443.0,14701.0,Topic Modelling for Humans.,447.0,41,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,54307.0,51186.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,3121.0,3962793.0,4000190.0,https://anaconda.org/conda-forge/gensim,2023-08-24 12:30:21.806,1157868.0,,,,,1.0,4532.0,,,,,,,,,,,,,,,,,,, +43,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-10-19 07:39:48.000000,2023-10-18 20:44:34,1394.0,289.0,880.0,162.0,1557.0,338.0,510.0,8516.0,Development repository for the Triton language and compiler.,176.0,41,True,2023-09-01 07:26:13.000,2.1.0,191.0,triton,,,,,8947.0,8889.0,https://pypi.org/project/triton,2023-09-01 07:26:13.000,58.0,5649395.0,5649395.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +44,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-10-19 10:07:08.000000,2023-10-19 10:07:03,46733.0,560.0,1139.0,196.0,369.0,514.0,1625.0,7397.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1179.0,41,True,2023-09-19 20:01:10.000,1.2.2,109.0,catboost,conda-forge/catboost,,,,346.0,11.0,https://pypi.org/project/catboost,2023-09-19 18:13:58.000,335.0,2072802.0,2115494.0,https://anaconda.org/conda-forge/catboost,2023-09-19 20:23:11.996,1405116.0,,,,,2.0,185877.0,,,,,,,,,,,,,,,,,,, +45,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-10-19 15:06:03.000000,2023-10-16 20:28:30,5881.0,366.0,547.0,54.0,3680.0,750.0,2040.0,7353.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,159.0,41,True,2023-10-04 17:31:06.000,0.15.12,264.0,wandb,conda-forge/wandb,,,,31520.0,30925.0,https://pypi.org/project/wandb,2023-10-04 17:29:18.000,595.0,6902910.0,6913050.0,https://anaconda.org/conda-forge/wandb,2023-10-04 19:30:33.577,395498.0,,,,,1.0,,,,,,,,,wandb/wandb,,,,,,,,,,, +46,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-08-01 15:41:14.000000,2023-01-30 18:15:21,1757.0,,8561.0,1061.0,1448.0,69.0,1715.0,32898.0,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,40,True,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,49083.0,46410.0,https://pypi.org/project/gym,2022-10-04 23:58:42.348,2673.0,395136.0,401150.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,252597.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +47,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-10-18 13:03:36.000000,2023-10-12 07:43:04,2677.0,59.0,8981.0,376.0,3050.0,1011.0,6554.0,25797.0,OpenMMLab Detection Toolbox and Benchmark.,439.0,40,True,2023-10-12 07:46:52.000,3.2.0,52.0,mmdet,,,,['pytorch'],1841.0,1813.0,https://pypi.org/project/mmdet,2023-10-12 07:46:52.000,28.0,153400.0,153400.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +48,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-10-17 08:16:05.000000,2023-10-15 04:38:05,2720.0,51.0,7453.0,612.0,2202.0,183.0,1580.0,24651.0,The fastai deep learning library.,662.0,40,True,2023-10-15 04:04:44.000,2.7.13,147.0,fastai,,,,['pytorch'],15307.0,14969.0,https://pypi.org/project/fastai,2023-10-15 04:04:44.000,338.0,333206.0,333206.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +49,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-10-19 14:51:37.860324,2023-10-19 13:52:10,18212.0,665.0,2451.0,347.0,17198.0,674.0,8665.0,23547.0,"A cloud-native vector database, storage for next generation AI applications.",256.0,40,True,2023-09-22 13:37:36.000,2.3.1,100.0,pymilvus,,milvusdb/milvus,,,34.0,,https://pypi.org/project/pymilvus,2023-09-22 11:31:52.000,34.0,456077.0,593875.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-10-19 14:51:37.860324,37.0,6538457.0,1.0,47978.0,,,,,,,,,,,,,,,,,,, +50,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-10-17 15:33:34.000000,2023-10-11 14:14:05,7058.0,110.0,1936.0,415.0,997.0,764.0,830.0,19491.0,Data Apps & Dashboards for Python. No JavaScript Required.,141.0,40,True,2023-10-11 15:59:34.000,2.14.0,172.0,dash,conda-forge/dash,,,,54259.0,52846.0,https://pypi.org/project/dash,2023-10-11 15:55:16.000,1413.0,2244499.0,2272602.0,https://anaconda.org/conda-forge/dash,2023-10-12 07:33:38.338,1124148.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +51,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-10-18 10:23:01.000000,2023-10-18 07:07:39,8476.0,90.0,2157.0,206.0,4123.0,18.0,1893.0,19211.0,Build multimodal AI applications with cloud-native stack.,175.0,40,True,2023-10-06 13:54:08.000,3.22.1,2432.0,jina,conda-forge/jina-core,jinaai/jina,,,1212.0,1197.0,https://pypi.org/project/jina,2023-10-06 13:52:49.000,15.0,82406.0,113265.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,56374.0,https://hub.docker.com/r/jinaai/jina,2023-10-18 07:25:21.791790,8.0,1258634.0,2.0,,,,,,,,,,,,,,,,,,,, +52,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2023-10-19 11:46:07.000000,2023-10-11 08:40:44,32572.0,201.0,4420.0,348.0,6251.0,122.0,6642.0,17115.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",594.0,40,True,2023-10-18 10:17:32.000,3.8.0a12,364.0,rasa,,,,['tensorflow'],3777.0,3711.0,https://pypi.org/project/rasa,2023-10-18 10:17:19.000,66.0,112350.0,112350.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +53,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2023-10-17 10:36:07.545000,2023-10-11 23:39:48,8231.0,21.0,3243.0,481.0,678.0,47.0,2113.0,12326.0,A toolkit for making real world machine learning and data analysis applications in C++.,191.0,40,False,2023-06-03 20:05:00.841,19.24.2,34.0,dlib,conda-forge/dlib,,,,23347.0,22555.0,https://pypi.org/project/dlib,2022-05-08 14:40:14.000,792.0,131601.0,147502.0,https://anaconda.org/conda-forge/dlib,2023-10-17 10:36:07.545,625926.0,,,,,2.0,25323.0,,,,,,,,,,,,,,,,,,, +54,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-10-19 12:24:13.000000,2023-10-19 11:31:34,9034.0,154.0,1077.0,135.0,5212.0,568.0,3926.0,12093.0,Data Version Control | Git for Data & Models | ML Experiments Management.,289.0,40,True,2023-10-18 19:59:54.000,3.27.0,481.0,dvc,conda-forge/dvc,,,,10121.0,10038.0,https://pypi.org/project/dvc,2023-10-18 20:01:24.000,83.0,748319.0,794264.0,https://anaconda.org/conda-forge/dvc,2023-09-24 23:15:48.537,1710624.0,,,,,1.0,38160.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +55,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-10-19 10:29:47.000000,2023-10-17 16:01:10,9662.0,82.0,1800.0,228.0,3729.0,207.0,2918.0,7829.0,Bayesian Modeling in Python.,468.0,40,True,2023-10-04 10:21:32.000,5.9.0,71.0,pymc3,conda-forge/pymc3,,,,2378.0,2130.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,248.0,474137.0,480592.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,540835.0,,,,,1.0,1923.0,,,,,,,,,,,,,,,,,,, +56,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-10-19 14:08:21.000000,2023-10-19 12:11:11,5562.0,164.0,702.0,58.0,4774.0,1419.0,2260.0,1494.0,A distributed task scheduler for Dask.,317.0,40,True,2023-10-14 01:01:40.000,2023.10.0,214.0,distributed,conda-forge/distributed,,,,32183.0,30888.0,https://pypi.org/project/distributed,2023-10-14 01:01:40.000,1295.0,4473803.0,4774797.0,https://anaconda.org/conda-forge/distributed,2023-10-14 02:09:03.172,12340760.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +57,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-10-19 07:00:12.000000,2023-10-19 02:45:10,6110.0,63.0,6599.0,416.0,2753.0,876.0,7226.0,33792.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",150.0,39,True,2023-10-18 12:32:48.000,2.7.1,8.0,paddleocr,,,,['paddle'],1868.0,1868.0,https://pypi.org/project/paddleocr,,,80575.0,80575.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +58,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-10-19 09:25:58.000000,2023-10-19 09:25:58,3515.0,304.0,2884.0,171.0,4066.0,417.0,2069.0,12314.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",278.0,39,True,2023-08-15 07:31:40.000,1.1.2,448.0,dgl,,,,,231.0,155.0,https://pypi.org/project/dgl,2023-08-30 08:45:26.000,76.0,62331.0,62331.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +59,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2023-10-19 10:49:00.000000,2023-10-04 21:03:24,1076.0,64.0,2001.0,227.0,473.0,172.0,1011.0,10413.0,Download market data from Yahoo! Finances API.,93.0,39,True,2023-10-04 21:06:36.000,0.2.31,102.0,yfinance,ranaroussi/yfinance,,,,28642.0,28369.0,https://pypi.org/project/yfinance,2023-10-04 21:06:36.000,273.0,1123733.0,1126740.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,81214.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +60,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2023-10-19 14:30:50.000000,2023-10-18 07:04:10,16624.0,351.0,891.0,125.0,3290.0,115.0,1428.0,8783.0,A hyperparameter optimization framework.,249.0,39,False,2023-10-17 07:05:49.000,3.4.0,61.0,optuna,conda-forge/optuna,,,,10557.0,10133.0,https://pypi.org/project/optuna,2023-10-17 07:05:49.000,424.0,2040561.0,2054137.0,https://anaconda.org/conda-forge/optuna,2023-08-07 10:47:33.490,543048.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +61,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-10-19 10:57:19.000000,2023-10-16 13:03:49,3994.0,266.0,1158.0,104.0,3110.0,693.0,1288.0,6966.0,A unified framework for machine learning with time series.,300.0,39,True,2023-10-13 20:25:21.000,0.24.0,56.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],1810.0,1755.0,https://pypi.org/project/sktime,2023-10-13 20:25:21.000,55.0,760822.0,794527.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-10-19 09:53:56.410,910016.0,,,,,1.0,84.0,,,,,,,,sktime/sktime,,,,,,,,,,, +62,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-10-17 08:25:37.000000,2023-10-17 08:25:37,1818.0,42.0,825.0,106.0,1458.0,354.0,1146.0,3885.0,Python tools for geographic data.,211.0,39,True,2023-09-15 08:26:19.000,0.14.0,32.0,geopandas,conda-forge/geopandas,,,['pandas'],26800.0,26800.0,https://pypi.org/project/geopandas,,,6065430.0,6146228.0,https://anaconda.org/conda-forge/geopandas,2023-10-11 13:51:09.571,3230944.0,,,,,1.0,2195.0,,,,,,,,,,,,,,,,,,, +63,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-10-19 09:16:39.000000,2023-10-17 20:56:02,899.0,46.0,3089.0,468.0,809.0,358.0,1844.0,24933.0,A library for efficient similarity search and clustering of dense vectors.,140.0,38,True,2023-09-22 11:31:52.000,2.3.1,85.0,pymilvus,conda-forge/faiss,,,,3227.0,3193.0,https://pypi.org/project/pymilvus,2023-09-22 11:31:52.000,34.0,456077.0,479169.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,946784.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +64,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-11 20:37:58.000000,2023-01-26 21:28:45,11896.0,,6880.0,1076.0,11123.0,1803.0,7763.0,20598.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",983.0,38,True,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7091.0,6796.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,290.0,340056.0,340499.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10287.0,,,,,2.0,26468.0,,,,,,,,apache/mxnet,,,,5.0,,,,,,, +65,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2023-10-16 12:57:51.000000,2023-10-12 11:24:03,5697.0,147.0,2027.0,205.0,1147.0,77.0,2147.0,13153.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,249.0,38,True,2023-03-30 15:49:56.000,0.12.2,30.0,flair,conda-forge/python-flair,,,['pytorch'],2860.0,2773.0,https://pypi.org/project/flair,2022-05-20 04:39:30.000,87.0,81487.0,82031.0,https://anaconda.org/conda-forge/python-flair,2023-07-23 11:04:16.024,21225.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +66,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2023-07-01 12:19:02.000000,2022-12-20 16:49:55,28132.0,,2511.0,544.0,4118.0,685.0,2088.0,9790.0,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,38,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,17183.0,14345.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2838.0,382104.0,409447.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2378896.0,,,,,2.0,,,,,,4.0,,,,,,,,,,,,,, +67,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-10-19 12:30:33.000000,2023-10-16 21:11:02,2580.0,86.0,874.0,124.0,1670.0,252.0,592.0,8721.0,Computer Vision and Robotics Library for AI.,236.0,38,True,2023-08-02 10:18:58.000,0.7.0,37.0,kornia,conda-forge/kornia,,,['pytorch'],6776.0,6670.0,https://pypi.org/project/kornia,2023-08-02 10:18:58.000,106.0,2031185.0,2034263.0,https://anaconda.org/conda-forge/kornia,2023-08-04 20:43:55.693,104199.0,,,,,1.0,845.0,,,,,,,,,,,,,,,,,,, +68,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-10-19 12:29:03.000000,2023-10-19 12:29:01,1738.0,58.0,624.0,117.0,530.0,258.0,576.0,7681.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,80.0,38,True,2023-10-06 11:10:29.000,0.14.1,80.0,tokenizers,conda-forge/tokenizers,,,,45231.0,45231.0,https://pypi.org/project/tokenizers,,,14189480.0,14223306.0,https://anaconda.org/conda-forge/tokenizers,2023-10-16 16:09:23.075,1319250.0,,,,,1.0,33.0,,,,,,,,,,,,,,,,,,, +69,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-10-19 10:07:15.000000,2023-10-17 19:41:58,9538.0,540.0,1126.0,123.0,1006.0,168.0,859.0,6701.0,A PyTorch-based Speech Toolkit.,223.0,38,True,2023-07-22 18:07:47.000,0.5.15,14.0,speechbrain,,,,['pytorch'],1030.0,1016.0,https://pypi.org/project/speechbrain,2023-07-22 18:08:45.000,14.0,221274.0,221274.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +70,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-10-17 08:38:33.000000,2023-10-17 08:33:15,1746.0,24.0,2159.0,170.0,780.0,62.0,972.0,6434.0,Python Data. Leaflet.js Maps.,155.0,38,True,2022-12-12 20:36:08.000,0.14.0,24.0,folium,conda-forge/folium,,,,29750.0,29750.0,https://pypi.org/project/folium,,,681884.0,708170.0,https://anaconda.org/conda-forge/folium,2023-06-16 13:15:52.865,2392082.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +71,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-10-19 12:29:56.000000,2023-10-19 12:29:55,1118.0,118.0,615.0,91.0,1039.0,107.0,916.0,5876.0,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",185.0,38,True,2023-09-14 19:23:12.000,0.23.0,35.0,accelerate,conda-forge/accelerate,,,['pytorch'],16264.0,15936.0,https://pypi.org/project/accelerate,2023-09-14 18:56:27.000,328.0,7075535.0,7078706.0,https://anaconda.org/conda-forge/accelerate,2023-09-15 15:58:36.098,76106.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +72,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-10-18 20:13:58.000000,2023-10-18 20:13:53,6040.0,84.0,1459.0,112.0,4003.0,643.0,694.0,4027.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",296.0,38,True,2023-09-08 09:07:53.000,4.9.3,36.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],14908.0,14698.0,https://pypi.org/project/tensorflow-datasets,2023-09-08 09:07:47.000,210.0,1928190.0,1929018.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,24028.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +73,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-10-15 14:39:15.000000,2023-10-15 14:39:15,2223.0,22.0,543.0,90.0,760.0,229.0,888.0,3455.0,Manipulation and analysis of geometric objects.,149.0,38,True,2023-10-12 20:37:19.000,2.0.2,121.0,shapely,conda-forge/shapely,,,,55110.0,54037.0,https://pypi.org/project/shapely,2023-10-12 20:37:19.000,1073.0,15442725.0,15666615.0,https://anaconda.org/conda-forge/shapely,2023-10-13 10:53:16.010,8503665.0,,,,,1.0,2656.0,,,,,,,,,,,,,,,,,,, +74,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 03:31:13.000,2023-10-19 08:51:56.000000,2023-10-19 00:24:53,17667.0,190.0,1217.0,85.0,7513.0,531.0,4170.0,2364.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,355.0,38,True,2023-09-06 17:49:45.000,1.5.1,75.0,mne,conda-forge/mne,,,,3349.0,3074.0,https://pypi.org/project/mne,2023-09-06 17:48:48.000,275.0,110546.0,118666.0,https://anaconda.org/conda-forge/mne,2023-09-06 18:39:29.631,332940.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +75,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 01:03:33.000,2023-10-19 14:47:36.000000,2023-10-19 14:43:53,3326.0,144.0,1042.0,135.0,2697.0,489.0,902.0,1942.0,A library for training and deploying machine learning models on Amazon SageMaker.,403.0,38,True,2023-10-18 17:09:16.000,2.193.0,547.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",3204.0,3119.0,https://pypi.org/project/sagemaker,2023-10-18 17:09:16.000,85.0,28470717.0,28488785.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2023-10-18 19:28:34.670,686619.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +76,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-10-19 03:41:10.000000,2023-10-18 08:48:30,1508.0,15.0,266.0,32.0,471.0,92.0,481.0,1324.0,Python library for reading and writing image data.,108.0,38,True,2023-10-02 02:15:24.000,2.31.5,85.0,imageio,conda-forge/imageio,,,,107095.0,104076.0,https://pypi.org/project/imageio,2023-10-02 02:15:21.000,3019.0,17890094.0,18037723.0,https://anaconda.org/conda-forge/imageio,2023-10-09 12:27:51.214,5757004.0,,,,,1.0,866.0,,,,,,,,,,,,,,,,,,, +77,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-10-18 15:02:47.000000,2023-10-10 17:36:53,2318.0,6.0,5860.0,414.0,1309.0,1007.0,3024.0,27744.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,420.0,37,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],2174.0,2174.0,https://pypi.org/project/fairseq,,,475508.0,476822.0,https://anaconda.org/conda-forge/fairseq,2023-06-16 19:21:01.221,51060.0,,,,,1.0,320.0,,,,,,,,,,,,,,,,,,, +78,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-10-19 14:12:25.000000,2023-10-19 12:38:15,34111.0,369.0,12265.0,945.0,23538.0,1030.0,,22094.0,Apache Flink Python API.,1779.0,37,True,2023-05-25 09:34:01.691,1.17.1,42.0,apache-flink,,,,,41.0,19.0,https://pypi.org/project/apache-flink,2022-09-27 20:53:12.584,22.0,137077.0,137077.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +79,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-10-19 15:30:29.000000,2023-10-19 12:20:41,16829.0,1750.0,6000.0,69.0,10941.0,3548.0,13020.0,13716.0,The Unified AI Framework.,1420.0,37,True,2023-06-29 19:33:01.167,0.0.0,103.0,ivy,,,,,9.0,,https://pypi.org/project/ivy,2023-10-11 17:04:40.000,9.0,1345.0,1345.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +80,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2023-10-14 21:59:19.000000,2023-10-10 10:25:21,1351.0,39.0,1528.0,151.0,724.0,183.0,545.0,11266.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,115.0,37,True,2023-10-10 11:09:25.000,4.6.0,51.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",1566.0,1566.0,https://pypi.org/project/pandas-profiling,,,713053.0,717750.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,403963.0,,,,,2.0,,,,,,,,,ydataai/ydata-profiling,,,,,,,,,,, +81,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-10-19 15:09:53.000000,2023-10-19 15:01:02,2695.0,293.0,1427.0,117.0,2843.0,482.0,2176.0,11206.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",203.0,37,True,2023-10-06 08:02:46.000,1.21.2,66.0,haystack,,,,,1048.0,961.0,https://pypi.org/project/haystack,2017-07-03 04:44:52.000,87.0,2213.0,2213.0,,,,,,,,1.0,23.0,,,,,,,,,,,,,,,,,,, +82,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-10-07 03:22:11.000000,2023-07-11 16:23:35,1095.0,,1375.0,251.0,650.0,350.0,1016.0,11007.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,14.0,moviepy,conda-forge/moviepy,,,,29685.0,29685.0,https://pypi.org/project/moviepy,,,694401.0,697214.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,211006.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +83,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-10-16 20:18:24.255000,2023-10-09 19:51:54,4971.0,82.0,1650.0,127.0,949.0,300.0,1875.0,7812.0,"An open-source, low-code machine learning library in Python.",126.0,37,True,2023-09-11 02:32:00.000,3.1.0,94.0,pycaret,conda-forge/pycaret,,,,4542.0,4528.0,https://pypi.org/project/pycaret,2023-09-11 02:31:52.000,14.0,242731.0,243784.0,https://anaconda.org/conda-forge/pycaret,2023-10-16 20:18:24.255,39394.0,,,,,2.0,667.0,,,,,,,,,,,,,,,,,,, +84,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-10-19 14:01:17.000000,2023-10-17 19:37:25,19660.0,734.0,1978.0,179.0,3117.0,214.0,2027.0,7118.0,End-to-End Speech Processing Toolkit.,384.0,37,True,2023-08-03 13:36:23.000,.202308,50.0,espnet,,,,,254.0,249.0,https://pypi.org/project/espnet,2023-08-03 13:37:00.000,5.0,25762.0,25763.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,, +85,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-10-19 05:53:22.000000,2023-10-18 06:28:24,3883.0,178.0,536.0,81.0,2002.0,174.0,652.0,4800.0,Flax is a neural network library for JAX that is designed for flexibility.,205.0,37,True,2023-09-13 18:38:38.000,0.7.4,39.0,flax,conda-forge/flax,,,['jax'],4796.0,4626.0,https://pypi.org/project/flax,2023-09-13 18:38:38.000,170.0,2169066.0,2170215.0,https://anaconda.org/conda-forge/flax,2023-06-16 19:25:28.189,35602.0,,,,,2.0,49.0,,,,,,,,,,,,,,,,,,, +86,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-10-18 20:52:11.000000,2023-10-18 20:52:09,11978.0,55.0,1079.0,170.0,454.0,647.0,731.0,3989.0,Probabilistic reasoning and statistical analysis in TensorFlow.,483.0,37,True,2023-10-02 16:08:04.000,0.22.0,49.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],429.0,,https://pypi.org/project/tensorflow-probability,2023-10-02 16:08:04.000,429.0,1295596.0,1299189.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-07-23 10:45:53.935,115005.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +87,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2023-06-16 13:21:35.778000,2020-02-15 08:33:35,523.0,,6699.0,1286.0,164.0,662.0,219.0,31382.0,Chinese Words Segmentation Utilities.,49.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,26173.0,24510.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1663.0,645380.0,647254.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,146234.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +88,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-10-09 22:45:14.000000,2023-09-04 11:42:16,615.0,10.0,2736.0,299.0,235.0,294.0,581.0,19804.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,36,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,4043.0,3974.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,69.0,188147.0,358296.0,,,,,,,,1.0,6805981.0,,,,,,,,,,,,,,,,,,, +89,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-10-18 07:33:08.000000,2023-10-18 07:33:05,791.0,16.0,4436.0,426.0,432.0,379.0,1717.0,17039.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,173.0,36,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,146.0,19.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,127.0,888241.0,925087.0,https://anaconda.org/conda-forge/prophet,2023-10-10 23:23:38.880,1104629.0,,,,,1.0,2080.0,,,,,,,,,,,,,,,,,,, +90,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-09-28 07:15:20.000000,2023-08-21 03:59:26,1627.0,8.0,2814.0,380.0,455.0,7.0,1784.0,13945.0,Python Echarts Plotting Library.,39.0,36,True,2023-08-21 08:24:32.000,2.0.4,72.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3767.0,3521.0,https://pypi.org/project/pyecharts,2023-08-21 03:40:32.000,246.0,112240.0,112240.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +91,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-10-15 08:49:18.000000,2023-09-18 08:44:36,1331.0,6.0,2218.0,333.0,1569.0,361.0,1846.0,13605.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,36,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1053.0,1019.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,34.0,53696.0,53696.0,,,,,,,,2.0,,stable/horovod,,,,,,,,,,,,,,,,,, +92,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-09-26 22:11:05.000000,2023-09-20 06:17:29,1209.0,9.0,2114.0,124.0,260.0,1029.0,797.0,12138.0,Multilingual Sentence & Image Embeddings with BERT.,115.0,36,True,2022-06-26 19:52:06.000,2.2.2,43.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],17513.0,17090.0,https://pypi.org/project/sentence-transformers,2022-06-26 19:50:11.000,423.0,3065342.0,3069945.0,https://anaconda.org/conda-forge/sentence-transformers,2023-06-16 19:21:44.846,170344.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +93,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-10-19 14:21:20.000000,2023-10-19 07:30:55,5894.0,251.0,1758.0,169.0,5401.0,35.0,1759.0,8202.0,NeMo: a toolkit for conversational AI.,254.0,36,True,2023-08-04 19:50:15.000,1.20.0,44.0,nemo-toolkit,,,,['pytorch'],19.0,19.0,https://pypi.org/project/nemo-toolkit,,,39924.0,41636.0,,,,,,,,1.0,83916.0,,,,,,,,,,,,,,,,,,, +94,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-10-07 18:22:39.000000,2023-10-07 04:00:46,2417.0,19.0,942.0,204.0,2241.0,218.0,822.0,8165.0,Deep universal probabilistic programming with Python and PyTorch.,144.0,36,True,2023-07-29 21:20:27.000,1.8.6,33.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1642.0,1642.0,https://pypi.org/project/pyro-ppl,,,517055.0,520854.0,https://anaconda.org/conda-forge/pyro-ppl,2023-07-29 23:12:47.995,117784.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +95,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 05:08:26.000,2023-09-27 19:21:23.000000,2023-09-07 14:08:45,846.0,3.0,1247.0,141.0,486.0,35.0,533.0,6524.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,80.0,36,True,2023-07-08 22:17:53.000,0.11.0,33.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],21199.0,20866.0,https://pypi.org/project/imbalanced-learn,2023-07-08 21:51:38.887,333.0,5187317.0,5199546.0,https://anaconda.org/conda-forge/imbalanced-learn,2023-07-08 22:18:55.284,489193.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +96,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2023-10-08 00:33:05.000000,2023-08-02 10:57:30,1413.0,16.0,872.0,214.0,220.0,174.0,232.0,6495.0,Efficiently computes derivatives of numpy code.,55.0,36,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,6666.0,6347.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,319.0,1245629.0,1268080.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,359219.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +97,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-10-19 13:22:15.000000,2023-10-18 20:37:45,2882.0,127.0,879.0,94.0,3116.0,321.0,2429.0,4737.0,AI Toolkit for Healthcare Imaging.,172.0,36,True,2023-10-12 17:37:33.000,1.3.0,77.0,monai,conda-forge/monai,,,['pytorch'],1451.0,1407.0,https://pypi.org/project/monai,2023-10-12 17:09:21.000,44.0,90887.0,91732.0,https://anaconda.org/conda-forge/monai,2023-10-12 17:35:33.024,18603.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +98,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-10-19 13:42:44.000000,2023-10-17 19:42:23,9467.0,345.0,1502.0,147.0,1989.0,466.0,1207.0,4658.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",227.0,36,True,2022-12-01 14:00:47.111,2.7.1,708.0,deepchem,conda-forge/deepchem,,,['tensorflow'],281.0,270.0,https://pypi.org/project/deepchem,2023-10-17 19:55:40.000,11.0,16454.0,18805.0,https://anaconda.org/conda-forge/deepchem,2023-06-16 19:18:02.015,103485.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +99,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-10-19 09:10:03.000000,2023-10-19 08:47:27,1641.0,46.0,601.0,60.0,1782.0,166.0,1162.0,4354.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,300.0,36,True,2023-10-19 08:24:46.000,0.4.13,1417.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2477.0,2434.0,https://pypi.org/project/pytorch-ignite,2023-10-19 08:24:46.000,43.0,145434.0,147963.0,https://anaconda.org/pytorch/ignite,2023-10-19 08:25:55.130,161858.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +100,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-10-18 19:46:14.000000,2023-10-10 18:43:52,8348.0,70.0,666.0,98.0,13033.0,39.0,788.0,3464.0,State of the Art Natural Language Processing.,108.0,36,True,2023-10-10 20:26:17.000,5.1.3,132.0,spark-nlp,,,,['spark'],376.0,347.0,https://pypi.org/project/spark-nlp,2023-10-10 16:20:01.000,29.0,3849486.0,3849486.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +101,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2023-09-25 06:51:17.362000,2023-09-22 08:02:58,5262.0,20.0,281.0,83.0,764.0,19.0,123.0,2762.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,36,True,2023-09-22 09:35:25.000,8.2.1,229.0,thinc,conda-forge/thinc,,,,38590.0,37954.0,https://pypi.org/project/thinc,2023-09-22 09:19:43.000,636.0,5956974.0,6021337.0,https://anaconda.org/conda-forge/thinc,2023-09-25 06:51:17.362,2638889.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +102,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-09-25 19:05:33.000000,2023-09-21 02:33:47,1524.0,19.0,206.0,31.0,665.0,25.0,560.0,930.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,64.0,36,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,26026.0,24053.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,1973.0,7999239.0,8173824.0,https://anaconda.org/conda-forge/pyproj,2023-09-25 07:36:02.608,6808845.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +103,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-10-19 14:59:20.000000,2023-10-19 10:00:15,4470.0,107.0,2309.0,221.0,597.0,44.0,707.0,20844.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",152.0,35,True,2023-10-19 10:01:17.000,0.17.10,81.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",16.0,,https://pypi.org/project/tts,2023-10-19 09:31:35.000,16.0,73343.0,120401.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,9793.0,,,,,1.0,1446154.0,,,,,,,,,,,,,,,,,,, +104,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 16:03:03.000,2023-10-19 14:37:48.000000,2023-10-19 14:37:47,7036.0,192.0,3295.0,255.0,2442.0,742.0,2456.0,18707.0,Graph Neural Network Library for PyTorch.,452.0,35,True,2023-10-12 08:28:59.000,2.4.0,36.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],,,https://pypi.org/project/torch-geometric,,,206010.0,206834.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-06-16 19:20:42.736,32169.0,,,,,1.0,,,,,,-3.0,,,,,,,,,,,,,, +105,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-10-06 03:06:58.000000,2021-06-01 10:43:00,1848.0,,4325.0,549.0,710.0,372.0,1266.0,13621.0,"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,,,,,5719.0,5366.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,353.0,33372.0,33372.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +106,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-09-30 06:07:49.000000,2023-09-30 06:07:49,781.0,2.0,1516.0,129.0,657.0,366.0,428.0,12679.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,129.0,35,True,2023-06-10 07:44:08.000,1.3.1,18.0,albumentations,conda-forge/albumentations,,,['pytorch'],18112.0,18112.0,https://pypi.org/project/albumentations,,,1018032.0,1020717.0,https://anaconda.org/conda-forge/albumentations,2023-06-12 13:29:26.010,139647.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +107,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-09-25 04:57:08.085000,2023-08-20 17:38:53,890.0,5.0,1110.0,319.0,266.0,54.0,341.0,12022.0,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,88.0,35,True,2023-06-14 16:39:02.504,1.17.3,47.0,annoy,conda-forge/python-annoy,,,,3491.0,3224.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,267.0,1027115.0,1037038.0,https://anaconda.org/conda-forge/python-annoy,2023-09-25 04:57:08.085,367163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +108,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2023-06-16 16:12:37.768000,2022-11-22 00:42:46,2719.0,,2260.0,283.0,3096.0,91.0,2477.0,11586.0,"An open-source NLP research library, built on PyTorch.",265.0,35,True,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],3963.0,3775.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,188.0,45571.0,47578.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,116459.0,,,,,2.0,61.0,,,,,,,,,,,,,,,,,,, +109,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2023-10-08 08:23:47.000000,2023-06-01 18:12:56,4638.0,,4515.0,394.0,649.0,601.0,1237.0,11277.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",188.0,35,False,2023-06-30 18:36:01.101,2.6.2,54.0,glfw,conda-forge/glfw,,,,208.0,20.0,https://pypi.org/project/glfw,2023-06-30 18:36:01.101,188.0,193180.0,229368.0,https://anaconda.org/conda-forge/glfw,2023-06-16 16:13:39.833,161281.0,,,,,2.0,3430805.0,,,,,,,,,,,,,,,,,,, +110,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-10-17 08:40:02.000000,2023-10-12 04:18:22,4356.0,13.0,2060.0,288.0,3401.0,54.0,1494.0,10317.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,215.0,35,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],220.0,215.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,1726.0,1726.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +111,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-10-19 14:30:50.000000,2023-10-19 11:50:02,24613.0,1223.0,1936.0,202.0,4736.0,167.0,3304.0,8966.0,Perform data science on data that remains in someone elses server.,502.0,35,True,2023-08-30 03:17:27.000,syftcli-v0.1.7,198.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2023-10-17 09:04:21.000,5.0,5225.0,5230.0,,,,,,,,1.0,229.0,,,,,,,,,,,,,,,,,,, +112,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-06-16 13:22:54.304000,2023-03-11 18:17:15,563.0,,1123.0,268.0,156.0,113.0,155.0,8718.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,35,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,34660.0,33234.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1426.0,610295.0,613049.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,236886.0,,,,,2.0,113.0,,,,,,,,,,,,,,,,,,, +113,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-10-18 13:25:55.000000,2023-10-13 00:00:27,2469.0,76.0,592.0,103.0,432.0,544.0,1157.0,8368.0,An open source multi-tool for exploring and publishing data.,75.0,35,True,2023-10-08 16:10:00.000,0.64.5,140.0,datasette,conda-forge/datasette,,,,1289.0,1086.0,https://pypi.org/project/datasette,2023-10-08 16:10:00.000,203.0,34006.0,34884.0,https://anaconda.org/conda-forge/datasette,2023-09-27 17:06:18.945,26339.0,,,,,1.0,58.0,,,,,,,,,datasette,,,,,,,,,, +114,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-10-08 19:16:11.059000,2023-08-05 09:01:02,884.0,1.0,1037.0,125.0,256.0,30.0,631.0,8344.0,Unsupervised text tokenizer for Neural Network-based text generation.,78.0,35,True,2023-05-02 04:26:07.683,0.1.99,34.0,sentencepiece,conda-forge/sentencepiece,,,,44508.0,43701.0,https://pypi.org/project/sentencepiece,2023-05-02 04:26:07.683,807.0,10028917.0,10045858.0,https://anaconda.org/conda-forge/sentencepiece,2023-10-08 19:16:11.059,641251.0,,,,,2.0,30998.0,,,,,,,,,,,,,,,,,,, +115,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 19:36:58.000,2023-10-17 21:16:42.000000,2023-10-17 20:31:26,10395.0,9.0,1963.0,349.0,3396.0,130.0,1130.0,8297.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,332.0,35,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,34.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,34.0,119045.0,122756.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-10-08 10:19:04.401,133599.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +116,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2023-10-11 23:12:45.000000,2023-10-11 23:12:41,657.0,30.0,314.0,67.0,102.0,30.0,124.0,7313.0,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",24.0,35,True,2023-10-01 01:13:46.000,0.7.0,14.0,einops,conda-forge/einops,,,,19429.0,18754.0,https://pypi.org/project/einops,2023-10-01 01:13:46.000,675.0,4335976.0,4340285.0,https://anaconda.org/conda-forge/einops,2023-10-01 10:01:09.036,155129.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +117,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2023-10-18 20:13:47.000000,2023-10-06 05:01:16,4079.0,216.0,886.0,146.0,452.0,77.0,748.0,6815.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",64.0,35,True,2023-10-06 05:16:12.000,1.6.1,21.0,stanza,stanfordnlp/stanza,,,,2247.0,2156.0,https://pypi.org/project/stanza,2023-10-06 05:09:50.000,91.0,129707.0,129874.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7190.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +118,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 16:08:07.000,2023-10-19 14:07:57.000000,2023-10-19 04:32:47,32199.0,170.0,1991.0,388.0,6664.0,2708.0,6464.0,6505.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",246.0,35,True,,,148.0,h2o,,,,,100.0,19.0,https://pypi.org/project/h2o,2023-10-16 12:45:34.000,81.0,370242.0,370242.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +119,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-10-19 08:54:18.000000,2023-10-19 07:31:41,2668.0,108.0,651.0,71.0,3088.0,181.0,766.0,5794.0,Build Production-Grade AI Applications.,181.0,35,True,2023-10-12 18:24:57.000,1.1.7,116.0,bentoml,,,,,1335.0,1324.0,https://pypi.org/project/bentoml,2023-10-12 18:23:03.000,11.0,68022.0,68061.0,,,,,,,,2.0,2111.0,,,,,,,,,,,,,,,,,,, +120,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-10-19 13:50:26.000000,2023-10-19 10:40:48,20600.0,426.0,1123.0,238.0,7315.0,799.0,1278.0,4444.0,Accelerate LLM with low-bit (INT3 / INT4 / NF4 / INT5 / INT8) optimizations using bigdl-llm.,185.0,35,True,2023-04-24 02:17:43.000,2.3.0,692.0,bigdl,,,,,50.0,45.0,https://pypi.org/project/bigdl,2023-10-19 13:50:26.000,1.0,6442.0,6442.0,,,,,,,,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,,, +121,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-10-11 15:25:56.000000,2023-10-10 15:49:04,1284.0,12.0,2431.0,1989.0,527.0,374.0,1073.0,3803.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,35,True,2023-08-23 02:38:47.000,1.53.0,100.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2023-08-23 02:38:47.000,48.0,1531095.0,1531103.0,,,,,,,,2.0,503.0,,,,,,,,,,,,,,,,,,, +122,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-10-19 14:05:36.000000,2023-10-16 22:15:03,3560.0,112.0,764.0,57.0,1296.0,312.0,1110.0,3711.0,"Serve, optimize and scale PyTorch models in production.",175.0,35,True,2023-10-13 00:21:43.000,0.9.0,22.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],533.0,520.0,https://pypi.org/project/torchserve,2023-10-12 22:01:55.000,13.0,36773.0,64820.0,https://anaconda.org/pytorch/torchserve,2023-10-12 22:01:52.717,120956.0,https://hub.docker.com/r/pytorch/torchserve,2023-10-12 22:44:52.307587,21.0,1202343.0,2.0,5046.0,,,,,,,,,,,,,,,,,,, +123,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2023-09-06 07:55:12.000000,2023-08-08 07:57:53,1994.0,26.0,203.0,67.0,128.0,78.0,508.0,3591.0,A Grammar of Graphics for Python.,103.0,35,True,2023-09-01 18:57:17.000,0.12.3,19.0,plotnine,conda-forge/plotnine,,,,6215.0,5962.0,https://pypi.org/project/plotnine,2023-09-01 18:37:41.000,253.0,1275716.0,1283642.0,https://anaconda.org/conda-forge/plotnine,2023-09-01 19:46:10.034,317067.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +124,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2023-10-19 13:36:46.000000,2023-10-14 15:04:54,3796.0,42.0,1021.0,154.0,1525.0,357.0,855.0,3428.0,Fast data visualization and GUI tools for scientific / engineering applications.,260.0,35,True,2023-04-14 21:33:03.621,0.13.3,21.0,pyqtgraph,conda-forge/pyqtgraph,,,,9000.0,8061.0,https://pypi.org/project/pyqtgraph,2022-09-29 04:05:13.139,939.0,157586.0,163468.0,https://anaconda.org/conda-forge/pyqtgraph,2023-06-16 13:19:32.302,476503.0,,,,,2.0,,,,,,3.0,,,,,,,,,,,,,, +125,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2023-10-09 14:36:54.000000,2023-10-09 14:36:52,7293.0,30.0,606.0,117.0,1138.0,323.0,1098.0,3128.0,High-performance interactive 2D/3D data visualization library.,188.0,35,True,2023-10-03 22:23:12.000,0.14.1,37.0,vispy,conda-forge/vispy,,,['jupyter'],1418.0,1286.0,https://pypi.org/project/vispy,2023-10-03 22:13:28.000,131.0,73311.0,85086.0,https://anaconda.org/conda-forge/vispy,2023-10-04 03:59:45.400,435107.0,,,,,2.0,,,vispy,https://www.npmjs.com/package/vispy,16.0,,2020-03-15 14:39:41.516,1.0,,,,,,,,,,,, +126,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-10-19 14:34:40.000000,2023-10-17 17:56:15,2268.0,112.0,599.0,76.0,2801.0,193.0,695.0,2232.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",220.0,35,True,2023-10-04 17:30:04.000,2.1.0,28.0,torchaudio,,,,['pytorch'],437.0,,https://pypi.org/project/torchaudio,2023-10-04 17:03:43.000,437.0,1634934.0,1634934.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +127,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,,2013-11-04 16:36:27.000,2023-10-19 14:37:54.000000,2023-10-19 14:37:44,3782.0,14.0,506.0,147.0,1104.0,124.0,1584.0,2034.0,Rasterio reads and writes geospatial raster datasets.,149.0,35,False,2023-10-19 14:09:18.000,1.3.9,82.0,rasterio,conda-forge/rasterio,,,,9057.0,9057.0,https://pypi.org/project/rasterio,,,2012719.0,2092985.0,https://anaconda.org/conda-forge/rasterio,2023-10-19 11:41:01.295,2648533.0,,,,,2.0,853.0,,,,,,,,,,,,,,,,,,, +128,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-10-19 14:19:41.000000,2023-10-19 08:58:15,3869.0,191.0,380.0,31.0,2657.0,373.0,966.0,2006.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,146.0,35,True,2023-10-07 04:19:00.000,0.42.3,84.0,pyvista,conda-forge/pyvista,,,['jupyter'],2504.0,2284.0,https://pypi.org/project/pyvista,2023-10-07 01:49:47.000,220.0,214683.0,224950.0,https://anaconda.org/conda-forge/pyvista,2023-10-07 03:29:50.976,410298.0,,,,,2.0,777.0,,,,,,,,,,,,,,,,,,, +129,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-10-19 05:52:48.000000,2023-10-18 12:16:12,4844.0,70.0,463.0,21.0,1080.0,852.0,567.0,1956.0,"This is the development home of the workflow management system Snakemake. For general information, see.",308.0,35,True,2023-09-18 14:47:18.000,7.32.4,284.0,snakemake,bioconda/snakemake,,,,1945.0,1692.0,https://pypi.org/project/snakemake,2023-09-18 14:47:18.000,253.0,118967.0,128220.0,https://anaconda.org/bioconda/snakemake,2023-10-17 09:53:13.042,888324.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +130,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2023-10-19 10:43:45.000000,2023-10-19 08:49:02,1540.0,176.0,329.0,27.0,1272.0,53.0,660.0,1679.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",215.0,35,True,2023-09-22 13:17:42.000,1.2.0,39.0,metrics,conda-forge/torchmetrics,,,['pytorch'],16048.0,16035.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,13.0,7110.0,43346.0,https://anaconda.org/conda-forge/torchmetrics,2023-09-25 21:19:09.764,1119291.0,,,,,2.0,4038.0,,,,,,,,Lightning-AI/torchmetrics,,,,,,,,,,, +131,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-10-18 05:29:35.000000,2023-10-17 13:39:54,1514.0,4.0,590.0,57.0,1877.0,251.0,893.0,1665.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,205.0,35,True,2023-10-17 04:25:20.000,0.22.0,37.0,tensorflow-addons,,,,['tensorflow'],13467.0,13248.0,https://pypi.org/project/tensorflow-addons,2023-10-17 05:46:45.000,219.0,826831.0,826831.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +132,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2023-10-13 18:10:46.000000,2023-10-13 10:11:49,1509.0,3.0,348.0,48.0,1452.0,167.0,661.0,1450.0,Exploratory analysis of Bayesian models with Python.,149.0,35,True,2023-07-18 20:14:08.000,0.16.1,34.0,arviz,conda-forge/arviz,,,,5095.0,4956.0,https://pypi.org/project/arviz,2023-07-18 20:14:08.000,139.0,1542569.0,1591989.0,https://anaconda.org/conda-forge/arviz,2023-09-19 13:51:11.324,2026146.0,,,,,1.0,133.0,,,,,,,,,,,,,,,,,,, +133,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 10:20:28.000,2023-10-19 14:55:15.000000,2023-10-19 12:20:23,1135.0,119.0,297.0,58.0,1052.0,107.0,503.0,1248.0,All the open source things related to the Hugging Face Hub.,114.0,35,True,2023-10-10 11:51:37.000,0.18.0,83.0,huggingface_hub,conda-forge/huggingface_hub,,,,474.0,,https://pypi.org/project/huggingface_hub,2023-10-10 11:51:37.000,474.0,20042800.0,20087013.0,https://anaconda.org/conda-forge/huggingface_hub,2023-10-11 00:38:53.499,1414825.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +134,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-10-18 09:49:28.000000,2023-10-17 15:41:51,860.0,24.0,297.0,44.0,995.0,66.0,161.0,1152.0,Making text a first-class citizen in TensorFlow.,111.0,35,True,2023-10-06 19:23:09.000,2.14.0,51.0,tensorflow-text,,,,['tensorflow'],5926.0,5926.0,https://pypi.org/project/tensorflow-text,,,3308036.0,3308036.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +135,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-10-18 11:17:00.880000,2023-10-18 03:51:44,1522.0,27.0,150.0,42.0,131.0,7.0,640.0,1145.0,A Python data analysis library that is optimized for humans instead of machines.,52.0,35,True,2023-10-18 03:54:36.000,1.9.0,31.0,agate,conda-forge/agate,,,,2374.0,2228.0,https://pypi.org/project/agate,2023-10-18 03:54:36.000,146.0,4001631.0,4006797.0,https://anaconda.org/conda-forge/agate,2023-10-18 11:17:00.880,149842.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +136,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2023-10-19 01:28:29.000000,2023-10-03 19:43:09,1452.0,12.0,194.0,47.0,518.0,30.0,726.0,1079.0,Fiona reads and writes geographic data files.,71.0,35,True,2023-10-12 19:29:21.000,1.9.5,47.0,fiona,conda-forge/fiona,,,,15296.0,15296.0,https://pypi.org/project/fiona,,,6390475.0,6519075.0,https://anaconda.org/conda-forge/fiona,2023-10-12 03:02:02.085,5015414.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +137,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2023-10-19 14:20:19.000000,2023-10-19 09:10:03,10090.0,141.0,526.0,71.0,2190.0,296.0,1627.0,1048.0,Machine learning for NeuroImaging in Python.,227.0,35,True,2023-10-01 19:30:40.000,0.10.2,45.0,nilearn,conda-forge/nilearn,,,['sklearn'],2905.0,2625.0,https://pypi.org/project/nilearn,2023-09-29 11:10:28.000,280.0,48118.0,55258.0,https://anaconda.org/conda-forge/nilearn,2023-10-02 11:59:55.930,249779.0,,,,,2.0,139.0,,,,,,,,,,,,,,,,,,, +138,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-10-19 14:29:23.000000,2023-10-19 14:22:47,2845.0,297.0,3905.0,365.0,3334.0,313.0,1110.0,34978.0,"Making large AI models cheaper, faster and more accessible.",158.0,34,True,2023-09-22 10:30:08.000,0.3.3,33.0,,,,,,264.0,264.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-10-16 16:50:20.000000,2023-10-16 16:45:42,1491.0,10.0,6709.0,379.0,640.0,363.0,3013.0,26885.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",259.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1412.0,1406.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,6.0,,5320.0,https://anaconda.org/conda-forge/detectron2,2023-06-23 08:23:13.856,207487.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +140,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-10-04 07:01:36.000000,2023-10-04 06:55:43,386.0,2.0,4645.0,850.0,264.0,543.0,610.0,25094.0,Library for fast text representation and classification.,64.0,34,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,5304.0,5083.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,221.0,1183067.0,1184840.0,https://anaconda.org/conda-forge/fasttext,2023-09-26 23:15:16.887,65622.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +141,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-10-19 05:56:28.000000,2023-10-19 03:39:18,7253.0,264.0,2566.0,294.0,174.0,23.0,972.0,24229.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2023-10-16 00:41:28.000,7.2.5,602.0,netron,,,,"['pytorch', 'tensorflow']",83.0,10.0,https://pypi.org/project/netron,2023-10-16 00:41:28.000,73.0,15568.0,74975.0,,,,,,,,1.0,59407.0,,,,,,,,,,,,,,,,,,, +142,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2023-10-19 11:29:02.000000,2023-10-13 16:32:21,8666.0,169.0,2812.0,266.0,1206.0,163.0,647.0,16538.0,Best Practices on Recommendation Systems.,128.0,34,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,88.0,86.0,https://pypi.org/project/recommenders,2022-04-01 08:49:49.000,2.0,51287.0,51294.0,,,,,,,,1.0,436.0,,,,,,,,recommenders-team/recommenders,,,,,,,,,,, +143,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2023-07-26 09:00:34.000000,2020-06-01 14:58:26,2913.0,,2395.0,232.0,336.0,294.0,223.0,13817.0,Image augmentation for machine learning experiments.,36.0,34,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,17109.0,16706.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,403.0,328554.0,331307.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,143187.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +144,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-10-07 14:01:47.000000,2023-08-07 02:39:54,3011.0,2.0,1817.0,285.0,3500.0,323.0,1675.0,13326.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,34,True,2023-05-16 23:50:39.741,2.10.1,55.0,nni,,,,,522.0,487.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,35.0,22238.0,22238.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +145,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-10-19 13:22:19.000000,2023-10-19 07:09:28,3702.0,159.0,1107.0,187.0,2678.0,329.0,728.0,9951.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",144.0,34,True,2023-10-13 16:17:16.000,0.8.6,47.0,ludwig,,,,['tensorflow'],213.0,204.0,https://pypi.org/project/ludwig,2023-10-13 16:17:16.000,9.0,6566.0,6566.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +146,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-10-19 12:43:15.000000,2023-06-06 09:08:21,5835.0,,2949.0,237.0,1388.0,865.0,3793.0,9755.0,Open-source simulator for autonomous driving research.,153.0,34,True,2022-12-24 18:31:33.838,0.9.14,25.0,carla,,,,,561.0,557.0,https://pypi.org/project/carla,2022-12-24 18:31:33.838,4.0,13285.0,13285.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +147,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-09-03 09:40:51.000000,2023-09-03 09:26:33,526.0,5.0,870.0,86.0,273.0,78.0,376.0,7703.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",81.0,34,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,36391.0,35412.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,979.0,2226129.0,2254637.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1111654.0,,,,,2.0,400.0,,,,,,,,,,,,,,,,,,, +148,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2023-10-18 15:50:30.000000,2023-10-18 15:50:28,1310.0,18.0,843.0,156.0,1644.0,169.0,801.0,6821.0,An open source python library for automated feature engineering.,71.0,34,True,2023-07-24 15:40:37.000,1.27.0,102.0,featuretools,conda-forge/featuretools,,,,1510.0,1436.0,https://pypi.org/project/featuretools,2023-07-24 15:40:37.000,74.0,63933.0,68146.0,https://anaconda.org/conda-forge/featuretools,2023-07-24 20:21:04.496,168547.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +149,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-10-19 14:27:27.000000,2023-10-19 14:27:27,2832.0,23.0,2210.0,173.0,1083.0,27.0,1391.0,6294.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,190.0,34,True,2023-09-26 09:03:15.000,3.4.1,46.0,OpenNMT-py,,,,['pytorch'],237.0,227.0,https://pypi.org/project/OpenNMT-py,2023-09-26 09:03:15.000,10.0,6200.0,6200.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +150,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2023-08-28 17:18:20.000000,2022-10-17 02:18:00,30611.0,,1324.0,292.0,6588.0,12.0,2030.0,5826.0,A flexible framework of neural networks for deep learning.,326.0,34,True,2022-06-29 08:19:03.000,7.8.1.post1,100.0,chainer,conda-forge/chainer,,,,3113.0,3113.0,https://pypi.org/project/chainer,,,16252.0,16613.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,15897.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2023-09-25 01:16:08.711000,2023-07-28 00:16:45,2332.0,29.0,1068.0,192.0,229.0,271.0,276.0,5310.0,Distributed Evolutionary Algorithms in Python.,87.0,34,False,2023-07-21 10:51:54.000,1.4.1,23.0,deap,conda-forge/deap,,,,4375.0,4010.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,365.0,202352.0,211698.0,https://anaconda.org/conda-forge/deap,2023-09-25 01:16:08.711,336480.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +152,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-10-19 15:21:17.000000,2023-10-19 14:19:05,18398.0,779.0,423.0,51.0,2350.0,505.0,938.0,5285.0,"Visualize, create, and debug image and video datasets and model predictions.",96.0,34,True,2023-10-06 19:55:12.000,0.22.1,129.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",420.0,411.0,https://pypi.org/project/fiftyone,2023-10-06 19:47:57.000,9.0,42103.0,42103.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +153,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-09-25 18:40:43.024000,2023-09-23 14:57:17,1634.0,6.0,827.0,116.0,518.0,137.0,336.0,4539.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,101.0,34,True,2023-09-25 13:23:15.000,0.23.0,51.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],10937.0,10757.0,https://pypi.org/project/mlxtend,2023-09-25 13:23:15.000,180.0,747206.0,754655.0,https://anaconda.org/conda-forge/mlxtend,2023-09-25 18:40:43.024,290529.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +154,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 14:40:43.000,2023-10-19 07:46:52.000000,2023-09-22 14:09:39,11952.0,279.0,1058.0,100.0,1258.0,120.0,735.0,4033.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",133.0,34,True,2023-09-22 14:42:30.000,1.16.0,56.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,446.0,437.0,https://pypi.org/project/adversarial-robustness-toolbox,2023-09-22 14:17:16.000,9.0,27622.0,28465.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-09-22 17:09:10.511,32883.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +155,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2023-10-19 11:44:12.000000,2023-10-19 11:44:10,1169.0,12.0,1715.0,148.0,209.0,2.0,680.0,3401.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2023-10-06 10:06:37.000,0.15.0,18.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],332.0,,https://pypi.org/project/tensorflow-hub,2023-10-06 09:58:50.000,332.0,2352671.0,2355042.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-07-13 16:39:43.723,90121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +156,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-10-19 15:05:06.000000,2023-10-19 14:17:02,2592.0,286.0,241.0,24.0,2345.0,209.0,1307.0,2568.0,Argilla: the open-source data curation platform for LLMs.,67.0,34,True,2023-10-19 10:36:43.000,1.17.0,98.0,rubrix,conda-forge/rubrix,,,,1967.0,1967.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,208.0,1438.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,27073.0,,,,,2.0,,,,,,,,,argilla-io/argilla,,,,,,,,,,, +157,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-10-19 07:25:43.000000,2023-10-19 00:15:57,2610.0,145.0,270.0,68.0,1330.0,50.0,556.0,2152.0,Adaptive Experimentation Platform.,154.0,34,True,2023-08-11 14:57:03.000,0.3.4,37.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],586.0,561.0,https://pypi.org/project/ax-platform,2023-08-11 14:57:03.000,25.0,117264.0,117753.0,https://anaconda.org/conda-forge/ax-platform,2023-08-12 13:48:33.316,13704.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +158,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2023-10-19 15:23:57.000000,2023-10-19 04:46:03,2332.0,2332.0,163.0,23.0,89.0,145.0,407.0,2115.0,"Call all LLM APIs using the OpenAI format. Use Azure, OpenAI, Cohere, Anthropic, Ollama, VLLM, Sagemaker, HuggingFace,..",38.0,34,True,2023-10-18 05:44:08.000,0.10.0,358.0,litellm,,,,others,266.0,239.0,https://pypi.org/project/litellm,2023-10-18 17:33:08.000,27.0,155948.0,155948.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +159,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-10-16 07:49:39.000000,2023-10-16 07:49:39,1201.0,9.0,198.0,33.0,44.0,9.0,154.0,1475.0,Simple Python interface for Graphviz.,20.0,34,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,57942.0,54560.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3382.0,7836606.0,7837132.0,https://anaconda.org/anaconda/python-graphviz,2023-06-16 13:23:51.228,41045.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +160,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-09-21 10:44:11.000000,2023-09-21 00:13:10,1827.0,3.0,195.0,29.0,207.0,22.0,387.0,1324.0,The ctypes-based simple ImageMagick binding for Python.,103.0,34,True,2023-01-05 13:25:52.000,0.6.11,54.0,wand,conda-forge/wand,,,,18067.0,17355.0,https://pypi.org/project/wand,2023-01-05 13:11:36.729,712.0,846716.0,847812.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,31794.0,,,,,2.0,27225.0,,,,,,,,,,,,,,,,,,, +161,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-10-19 14:51:26.000000,2023-10-17 13:32:51,2906.0,67.0,348.0,57.0,1098.0,326.0,901.0,1278.0,Cartopy - a cartographic python library with matplotlib support.,124.0,34,False,2023-08-05 00:57:41.000,0.22.0,29.0,cartopy,conda-forge/cartopy,,,,4273.0,3864.0,https://pypi.org/project/cartopy,2023-08-05 00:57:41.000,409.0,127869.0,207060.0,https://anaconda.org/conda-forge/cartopy,2023-08-09 21:12:28.547,3246839.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +162,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 06:45:41.000,2023-10-19 14:06:00.000000,2023-10-16 19:48:26,1462.0,105.0,164.0,31.0,1296.0,51.0,164.0,1055.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,77.0,34,True,2023-07-24 18:30:10.000,2023.2.1,21.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],8165.0,8148.0,https://pypi.org/project/scikit-learn-intelex,2023-07-21 11:46:24.000,17.0,174852.0,182045.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-07-25 12:42:29.795,215809.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +163,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-10-19 14:44:08.000000,2023-10-19 14:25:29,13375.0,339.0,382.0,52.0,1933.0,151.0,731.0,625.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",152.0,34,True,2023-04-23 23:30:00.533,1.7.0,26.0,dipy,conda-forge/dipy,,,,1000.0,894.0,https://pypi.org/project/dipy,2022-03-11 20:19:02.000,106.0,13879.0,18523.0,https://anaconda.org/conda-forge/dipy,2023-06-16 13:16:19.782,413325.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +164,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,,2017-09-01 00:36:51.000,2023-10-01 11:57:13.000000,2023-09-10 02:01:49,2281.0,26.0,4728.0,486.0,149.0,964.0,1336.0,18545.0,State-of-the-art 2D and 3D Face Analysis Project.,57.0,33,False,2023-04-02 07:43:27.000,0.7,1.0,insightface,,,,['mxnet'],1072.0,1072.0,https://pypi.org/project/insightface,,,419070.0,544935.0,,,,,,,,2.0,755193.0,,,,,,,,,,,,,,,,,,, +165,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2023-10-19 14:17:52.000000,2023-10-19 12:33:39,14956.0,1570.0,2416.0,373.0,4057.0,592.0,2905.0,18428.0,MindsDB connects AI models to datasources.,784.0,33,False,2023-10-18 13:44:52.000,23.10.3.0,444.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2023-10-18 12:04:04.000,,5523.0,5523.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +166,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-10-18 03:42:44.000000,2023-03-28 11:49:55,2665.0,,2090.0,187.0,1005.0,580.0,710.0,12193.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,33,True,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1415.0,1409.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,6.0,5121.0,5133.0,,,,,,,,2.0,664.0,,,,,,,,,,,,,,,,,,, +167,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-08-01 18:30:38.000000,2021-07-29 23:17:25,531.0,,1760.0,265.0,113.0,96.0,535.0,10913.0,Lime: Explaining the predictions of any machine learning classifier.,62.0,33,False,2020-04-03 22:05:03.000,0.2.0.0,39.0,lime,conda-forge/lime,,,,4642.0,4472.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,170.0,312766.0,315059.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,188086.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +168,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2023-10-10 09:26:35.000000,2023-10-10 08:25:26,3552.0,107.0,762.0,133.0,152.0,103.0,917.0,10158.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",86.0,33,True,2023-10-10 09:26:35.000,15.2.0,220.0,ocrmypdf,conda-forge/ocrmypdf,,,,659.0,642.0,https://pypi.org/project/ocrmypdf,2023-10-10 09:26:35.000,17.0,48123.0,50252.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,57483.0,,,,,2.0,667.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +169,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-09-06 21:46:11.000000,2023-09-06 21:46:11,2424.0,6.0,1542.0,290.0,424.0,281.0,633.0,9259.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,116.0,33,False,2023-08-15 18:22:07.000,0.12.1,62.0,tpot,conda-forge/tpot,,,['sklearn'],2435.0,2374.0,https://pypi.org/project/tpot,2023-08-15 18:22:07.000,61.0,37754.0,43675.0,https://anaconda.org/conda-forge/tpot,2023-08-15 22:49:07.495,236863.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +170,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-06-16 13:22:53.603000,2021-09-09 20:54:41,384.0,,898.0,265.0,148.0,108.0,103.0,8990.0,Fuzzy String Matching in Python.,70.0,33,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,22891.0,20797.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,2094.0,5137789.0,5143678.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,512352.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +171,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-08-14 20:55:28.000000,2022-12-08 17:49:19,746.0,,964.0,133.0,217.0,320.0,267.0,7747.0,Manipulate audio with a simple and easy high level interface.,95.0,33,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,41459.0,40276.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1183.0,3032384.0,3033594.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,70231.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +172,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-10-18 12:08:48.000000,2023-10-18 08:55:23,2853.0,19.0,1551.0,86.0,1604.0,313.0,1597.0,7663.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",118.0,33,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1031.0,1027.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,4.0,1907.0,1907.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +173,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-09-05 02:01:43.000000,2023-07-16 10:19:01,1688.0,,1288.0,147.0,201.0,190.0,143.0,7497.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,48.0,33,True,2023-06-25 06:09:29.000,1.1.0,88.0,pyod,conda-forge/pyod,,,,2928.0,2872.0,https://pypi.org/project/pyod,2023-06-25 06:02:01.357,56.0,629013.0,631050.0,https://anaconda.org/conda-forge/pyod,2023-06-26 04:46:35.290,83535.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +174,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-10-19 14:44:09.000000,2023-10-18 19:49:30,786.0,45.0,680.0,273.0,1035.0,296.0,324.0,7066.0,Build and manage real-life data science projects with ease!.,74.0,33,True,2023-10-18 11:39:15.000,2.10.3,98.0,metaflow,conda-forge/metaflow,,,,566.0,540.0,https://pypi.org/project/metaflow,2023-10-18 11:39:15.000,26.0,153616.0,157493.0,https://anaconda.org/conda-forge/metaflow,2023-10-18 13:17:20.458,151209.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +175,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2023-10-09 21:00:57.000000,2023-09-29 18:36:14,1218.0,7.0,1022.0,127.0,269.0,349.0,337.0,6883.0,Distributed Asynchronous Hyperparameter Optimization in Python.,102.0,33,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,12702.0,12207.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,495.0,1986555.0,1998583.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,733727.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +176,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-10-19 01:38:17.000000,2023-10-19 01:38:17,3255.0,8.0,897.0,138.0,630.0,50.0,1088.0,6235.0,Python library for audio and music analysis.,117.0,33,True,2023-08-16 13:52:19.000,0.10.1,41.0,librosa,conda-forge/librosa,,,,1460.0,,https://pypi.org/project/librosa,2023-08-16 13:52:19.000,1460.0,2034914.0,2052851.0,https://anaconda.org/conda-forge/librosa,2023-08-16 18:07:49.183,699544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +177,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-10-19 05:15:34.000000,2023-10-18 23:10:19,37115.0,318.0,727.0,141.0,8569.0,903.0,4859.0,6006.0,cuDF - GPU DataFrame Library.,261.0,33,True,2023-10-11 15:25:48.000,23.10.00,40.0,cudf,,,,,54.0,46.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,8.0,1566.0,1566.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +178,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-10-18 00:13:12.000000,2023-09-30 18:00:26,2746.0,68.0,671.0,141.0,88.0,67.0,321.0,5730.0,Fit interpretable models. Explain blackbox machine learning.,39.0,33,True,2023-08-28 03:48:17.000,0.4.4,39.0,interpret,,,,['jupyter'],539.0,539.0,https://pypi.org/project/interpret,,,70957.0,70957.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +179,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-10-19 04:15:59.000000,2023-10-17 17:13:20,2211.0,48.0,603.0,90.0,236.0,388.0,505.0,4800.0,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",87.0,33,True,2023-09-25 21:43:22.000,1.13.1,139.0,clearml,,allegroai/trains,,,771.0,758.0,https://pypi.org/project/clearml,2023-10-14 09:56:20.000,13.0,236401.0,237010.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30186.0,2.0,1558.0,,,,,,,,,,,,,,,,,,, +180,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2023-10-18 12:45:17.000000,2023-10-18 12:45:17,932.0,7.0,737.0,85.0,189.0,76.0,635.0,3762.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,33,True,2023-09-27 14:17:30.000,78,71.0,opencv-python,,,,,11254.0,,https://pypi.org/project/opencv-python,2023-09-28 11:00:22.000,11254.0,10737370.0,10737370.0,,,,,,,,2.0,,,,,,6.0,,,,,,,,,,,,,, +181,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-10-19 11:34:39.000000,2023-10-16 20:54:26,1292.0,5.0,811.0,272.0,1435.0,302.0,510.0,3378.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",149.0,33,True,2023-10-04 17:35:44.000,0.16.0,28.0,torchtext,,,,['pytorch'],480.0,,https://pypi.org/project/torchtext,2023-10-04 16:59:42.000,480.0,366210.0,366210.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +182,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2023-10-19 13:30:54.000000,2023-10-19 13:27:29,1479.0,32.0,353.0,93.0,723.0,123.0,439.0,3086.0,Quickly and accurately render even the largest data.,54.0,33,True,2023-08-17 10:44:40.000,0.15.2,32.0,datashader,conda-forge/datashader,,,,3017.0,3017.0,https://pypi.org/project/datashader,,,238590.0,255529.0,https://anaconda.org/conda-forge/datashader,2023-08-17 12:55:00.403,694536.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +183,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-10-19 12:18:31.000000,2023-10-19 04:04:13,1687.0,79.0,330.0,54.0,1431.0,71.0,375.0,2803.0,Bayesian optimization in PyTorch.,103.0,33,True,2023-08-11 00:20:30.000,0.9.2,39.0,botorch,conda-forge/botorch,,,['pytorch'],736.0,705.0,https://pypi.org/project/botorch,2023-08-11 00:20:30.000,31.0,186486.0,188791.0,https://anaconda.org/conda-forge/botorch,2023-08-11 23:47:35.517,87600.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +184,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 21:10:54.000,2023-09-23 11:33:37.000000,2021-10-12 13:32:38,1570.0,,502.0,64.0,533.0,303.0,391.0,2664.0,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,,,,5142.0,4878.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:23:01.204,264.0,490346.0,499438.0,https://anaconda.org/conda-forge/scikit-optimize,2023-06-16 13:23:01.487,681902.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +185,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 13:08:13.000,2023-10-17 21:19:58.000000,2023-10-17 21:19:58,1625.0,11.0,317.0,59.0,175.0,119.0,191.0,2610.0,A machine learning toolkit dedicated to time-series data.,43.0,33,True,2023-08-21 13:31:48.000,0.6.2,99.0,tslearn,conda-forge/tslearn,,,['sklearn'],1026.0,981.0,https://pypi.org/project/tslearn,2023-08-21 13:31:48.000,45.0,289255.0,320533.0,https://anaconda.org/conda-forge/tslearn,2023-08-21 16:01:42.662,1251146.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +186,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 19:32:37.000,2023-10-10 18:59:08.000000,2023-10-10 18:59:07,934.0,21.0,393.0,38.0,147.0,48.0,237.0,2289.0,A library of sklearn compatible categorical variable encoders.,64.0,33,True,2023-08-15 16:14:16.000,2.6.2,31.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],1280.0,1118.0,https://pypi.org/project/category_encoders,2023-08-15 16:14:16.000,162.0,1226557.0,1236655.0,https://anaconda.org/conda-forge/category_encoders,2023-08-15 19:21:54.750,242368.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +187,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2023-09-30 21:25:52.000000,2023-09-30 21:25:52,2268.0,13.0,561.0,71.0,475.0,255.0,677.0,2185.0,Survival analysis in Python.,112.0,33,True,2023-09-13 15:31:06.000,0.27.8,169.0,lifelines,conda-forge/lifelines,,,,2009.0,1886.0,https://pypi.org/project/lifelines,2023-09-13 15:31:06.000,123.0,410629.0,417853.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,296190.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +188,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 08:02:14.000,2023-10-15 19:58:52.000000,2023-10-15 19:58:52,3660.0,19.0,189.0,52.0,1333.0,126.0,703.0,1929.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2023-09-06 20:25:23.000,0.14.0,58.0,pythran,conda-forge/pythran,,,,1333.0,1311.0,https://pypi.org/project/pythran,2023-09-06 20:25:23.000,22.0,192710.0,203989.0,https://anaconda.org/conda-forge/pythran,2023-09-21 12:37:53.939,417328.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +189,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2023-10-14 06:45:10.000000,2023-10-14 06:45:10,531.0,12.0,160.0,44.0,70.0,8.0,120.0,1906.0,a python library for doing approximate and phonetic matching of strings.,30.0,33,True,2023-09-18 23:14:35.000,1.0.1,41.0,jellyfish,conda-forge/jellyfish,,,,7547.0,7101.0,https://pypi.org/project/jellyfish,2023-09-18 23:14:35.000,446.0,2279083.0,2297002.0,https://anaconda.org/conda-forge/jellyfish,2023-09-25 04:19:29.218,716794.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +190,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2023-10-13 15:33:46.000000,2018-10-12 15:53:05,1251.0,,282.0,52.0,155.0,104.0,218.0,1554.0,Python Geocoder.,73.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,8425.0,7902.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,523.0,447776.0,449435.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,132744.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,geocoder +191,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2023-10-15 04:09:07.000000,2023-10-09 06:31:38,1150.0,4.0,348.0,63.0,571.0,249.0,341.0,1407.0,A Jupyter - Leaflet.js bridge.,85.0,33,True,2023-09-11 09:06:03.000,0.17.4,78.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],5765.0,5602.0,https://pypi.org/project/ipyleaflet,2023-09-11 09:06:03.000,158.0,175225.0,249209.0,https://anaconda.org/conda-forge/ipyleaflet,2023-09-11 12:39:04.948,1076399.0,,,,,2.0,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,47731.0,,2023-06-02 07:27:55.785,5.0,,,,,,,,,,,, +192,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-10-19 12:52:27.000000,2023-10-19 12:52:26,11127.0,307.0,232.0,58.0,11621.0,151.0,2102.0,892.0,Cloud-native genomic dataframes and batch computing.,90.0,33,True,2023-09-21 19:30:21.000,0.2.124,144.0,hail,,,,['spark'],127.0,111.0,https://pypi.org/project/hail,2023-09-21 19:30:21.000,16.0,22669.0,22669.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +193,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-10-10 08:23:16.000000,2023-09-28 11:32:14,14783.0,21.0,506.0,50.0,2272.0,392.0,946.0,702.0,Workflows and interfaces for neuroimaging packages.,251.0,33,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,3806.0,3632.0,https://pypi.org/project/nipype,2017-05-21 03:34:02.000,174.0,77254.0,92648.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,584995.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +194,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2023-10-06 02:24:10.000000,2023-10-06 02:23:03,1037.0,98.0,170.0,36.0,113.0,31.0,56.0,687.0,Snowball compiler and stemming algorithms.,34.0,33,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6812.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6808.0,10797850.0,10883071.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,7329023.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +195,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2023-10-18 18:36:38.000000,2023-10-18 16:27:27,5650.0,101.0,248.0,37.0,771.0,122.0,385.0,586.0,Python package to access a cacophony of neuro-imaging file formats.,99.0,33,True,2023-04-03 15:53:03.644,5.1.0,40.0,nibabel,conda-forge/nibabel,,,,16205.0,15060.0,https://pypi.org/project/nibabel,2023-04-03 15:53:03.644,1145.0,270318.0,286536.0,https://anaconda.org/conda-forge/nibabel,2023-09-29 18:53:45.076,648739.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +196,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-08-30 18:40:54.000000,2023-07-13 08:50:20,531.0,,2590.0,377.0,116.0,213.0,556.0,23649.0,Deezer source separation library including pretrained models.,19.0,32,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],598.0,592.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,16094.0,74044.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,78564.0,,,,,2.0,2701411.0,,,,,,,,,,,,,,,,,,, +197,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2023-10-04 00:17:49.000000,2023-07-11 13:03:36,1421.0,,3721.0,766.0,1132.0,373.0,588.0,18686.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,32,True,2022-08-01 18:23:00.243,2.1.4,67.0,magenta,,,,['tensorflow'],509.0,471.0,https://pypi.org/project/magenta,2018-07-31 15:38:15.000,38.0,2918.0,2918.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +198,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-07-17 16:46:23.000000,2020-10-14 16:36:49,6226.0,,4627.0,1002.0,1868.0,357.0,658.0,16564.0,"Zipline, a Pythonic Algorithmic Trading Library.",160.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1042.0,957.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,85.0,2529.0,2727.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7350.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +199,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-06-02 18:55:09.000000,2023-04-01 10:19:28,4379.0,,3293.0,465.0,671.0,589.0,672.0,14171.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,True,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1519.0,1429.0,https://pypi.org/project/tensor2tensor,2017-06-21 01:15:55.000,90.0,4176.0,4176.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +200,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-05-27 00:04:03.000000,2021-11-29 19:55:31,1571.0,,1122.0,345.0,1682.0,499.0,1294.0,11096.0,Turi Create simplifies the development of custom machine learning models.,86.0,32,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,378.0,357.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,21.0,17357.0,17492.0,,,,,,,,3.0,9460.0,,,,,,,,,,,,,,,,,,, +201,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2023-09-09 23:36:21.000000,2023-03-13 12:21:37,454.0,,2291.0,281.0,131.0,298.0,307.0,7589.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,32,True,2023-03-14 12:04:32.000,3.10.0,54.0,SpeechRecognition,conda-forge/speechrecognition,,,,829.0,19.0,https://pypi.org/project/SpeechRecognition,2022-12-04 12:47:02.703,810.0,444115.0,446133.0,https://anaconda.org/conda-forge/speechrecognition,2023-06-16 13:24:04.552,173593.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +202,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2023-10-17 11:56:08.000000,2023-10-17 11:40:34,2699.0,10.0,1130.0,210.0,1034.0,17.0,613.0,6373.0,An open source library for deep learning end-to-end dialog systems and chatbots.,76.0,32,True,2023-10-17 11:56:08.000,1.4.0,61.0,deeppavlov,,,,['tensorflow'],366.0,360.0,https://pypi.org/project/deeppavlov,2023-10-17 11:56:08.000,6.0,8044.0,8044.0,,,,,,,,2.0,,,,,,,,,deeppavlov/DeepPavlov,,,,,,,,,,, +203,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2023-08-06 00:30:36.000000,2023-08-06 00:30:36,2944.0,1.0,1850.0,200.0,206.0,10.0,1343.0,6284.0,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:04:45.487,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1421.0,1374.0,https://pypi.org/project/tensorpack,2018-09-04 07:48:02.000,47.0,14783.0,15201.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10005.0,,,,,3.0,159.0,,,,,,,,,,,,,,,,,,, +204,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 17:20:35.000,2023-10-18 20:57:34.000000,2023-07-25 15:00:08,1165.0,7.0,626.0,65.0,127.0,51.0,422.0,5499.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",38.0,32,True,2023-07-25 15:01:13.000,2.3.0,207.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],958.0,939.0,https://pypi.org/project/pytorch-metric-learning,2023-07-25 14:56:04.000,19.0,356531.0,356770.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,10794.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +205,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-10-15 14:54:02.000000,2023-09-07 16:21:01,1075.0,11.0,355.0,82.0,515.0,48.0,446.0,5358.0,A scikit-learn compatible neural network library that wraps PyTorch.,60.0,32,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1017.0,969.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,48.0,67444.0,88423.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,776234.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +206,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-10-09 03:38:19.000000,2020-07-15 13:46:58,1184.0,,1594.0,307.0,293.0,152.0,266.0,5184.0,Portfolio and risk analytics in Python.,59.0,32,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,921.0,887.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,9002.0,9185.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,12503.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +207,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2023-10-19 12:40:10.000000,2023-10-14 19:25:52,28811.0,73.0,1520.0,181.0,1999.0,28.0,1533.0,4557.0,"mlpack: a fast, header-only C++ machine learning library.",307.0,32,True,2023-10-16 11:06:45.000,4.2.1,45.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2023-09-07 13:37:40.000,1.0,2871.0,6911.0,https://anaconda.org/conda-forge/mlpack,2023-06-17 04:40:48.549,161614.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +208,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-10-15 17:25:40.000000,2023-10-15 17:13:22,3759.0,50.0,500.0,84.0,517.0,20.0,444.0,4453.0,Online machine learning in Python.,106.0,32,True,2023-09-03 17:17:56.000,0.19.0,17.0,river,conda-forge/river,,,,395.0,366.0,https://pypi.org/project/river,2023-09-03 15:35:29.000,29.0,18554.0,20221.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,50013.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +209,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-10-17 16:46:21.000000,2023-10-11 16:55:28,1089.0,31.0,554.0,115.0,787.0,249.0,993.0,3683.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",155.0,32,True,2023-09-18 21:47:03.000,7.0,45.0,coremltools,conda-forge/coremltools,,,,3553.0,3388.0,https://pypi.org/project/coremltools,2023-09-18 21:48:25.000,165.0,184633.0,186191.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,52058.0,,,,,2.0,8236.0,,,,,,,,,,,,,,,,,,, +210,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-10-03 23:37:55.000000,2022-08-14 17:11:42,3272.0,,703.0,185.0,734.0,262.0,669.0,3393.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,32,False,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,280.0,251.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,29.0,261464.0,261619.0,,,,,,,,3.0,13086.0,,,,,,,,,,,,,,,,,,, +211,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-10-19 01:13:09.000000,2023-10-19 00:35:12,1377.0,37.0,428.0,52.0,723.0,44.0,450.0,3289.0,NeuralProphet: A simple forecasting package.,45.0,32,True,2023-06-14 22:41:07.000,0.6.2,27.0,neuralprophet,,,,['pytorch'],314.0,311.0,https://pypi.org/project/neuralprophet,2023-09-19 18:17:10.000,3.0,74291.0,74291.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +212,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-10-17 15:12:42.000000,2023-10-17 15:12:42,1272.0,19.0,268.0,54.0,213.0,51.0,403.0,2809.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,35.0,32,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,559.0,544.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,15.0,243967.0,267498.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,941244.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +213,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 22:38:21.000,2023-10-12 22:06:32.000000,2023-10-12 21:45:38,1064.0,30.0,380.0,65.0,469.0,200.0,264.0,2779.0,A Hyperparameter Tuning Library for Keras.,58.0,32,True,2023-10-12 22:06:32.000,1.4.5,33.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],2820.0,2761.0,https://pypi.org/project/keras-tuner,2023-10-12 22:06:32.000,59.0,213482.0,214445.0,https://anaconda.org/conda-forge/keras-tuner,2023-06-15 21:56:32.772,25047.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +214,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/google-deepmind/dm-haiku,https://github.com/google-deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2023-10-18 16:30:29.000000,2023-09-15 20:57:01,948.0,29.0,218.0,40.0,503.0,106.0,169.0,2624.0,JAX-based neural network library.,79.0,32,True,2023-07-14 15:43:01.201,0.0.10,13.0,dm-haiku,conda-forge/dm-haiku,,,,1583.0,1516.0,https://pypi.org/project/dm-haiku,2023-07-14 15:43:01.201,67.0,251834.0,252248.0,https://anaconda.org/conda-forge/dm-haiku,2023-07-14 16:46:49.056,13248.0,,,,,3.0,,,,,,,,,google-deepmind/dm-haiku,,,,,,,,,,, +215,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-10-11 22:03:24.000000,2023-10-11 22:02:17,2259.0,28.0,688.0,81.0,196.0,184.0,459.0,2609.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",145.0,32,True,2023-10-03 11:38:48.000,0.18.0,49.0,tf-agents,,,,['tensorflow'],1310.0,1305.0,https://pypi.org/project/tf-agents,2023-10-03 11:38:48.000,5.0,33589.0,33589.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +216,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 13:32:37.000,2023-10-06 14:12:48.829000,2023-10-04 00:32:47,992.0,5.0,460.0,55.0,131.0,330.0,163.0,2549.0,A high performance implementation of HDBSCAN clustering.,85.0,32,True,2023-07-18 17:54:02.116,0.8.33,50.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],2916.0,2700.0,https://pypi.org/project/hdbscan,2023-07-18 17:54:02.116,216.0,587422.0,635495.0,https://anaconda.org/conda-forge/hdbscan,2023-10-06 14:12:48.829,1730658.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +217,EvaDB,georgia-tech-db/eva,ml-frameworks,,https://github.com/georgia-tech-db/evadb,https://github.com/georgia-tech-db/evadb,Apache-2.0,2018-09-10 02:26:03.000,2023-10-19 13:54:44.000000,2023-10-19 13:54:42,2338.0,307.0,209.0,26.0,1019.0,64.0,205.0,2365.0,Database system for AI-powered apps.,66.0,32,True,2023-10-18 21:51:25.000,0.3.8,44.0,evadb,,,,['pytorch'],71.0,71.0,https://pypi.org/project/evadb,2023-10-18 21:51:19.000,,1872.0,28996.0,,,,,,,,3.0,406862.0,,,,,,,,georgia-tech-db/evadb,,,,,,,,,,, +218,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-10-19 14:31:53.000000,2023-10-18 20:24:26,5372.0,194.0,666.0,89.0,5493.0,93.0,832.0,2013.0,TFX is an end-to-end platform for deploying production ML pipelines.,178.0,32,True,2023-09-06 18:31:57.000,1.14.0,95.0,tfx,,,,['tensorflow'],14.0,,https://pypi.org/project/tfx,2023-09-06 22:01:30.000,14.0,48157.0,48157.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +219,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-10-19 15:06:27.000000,2023-10-18 22:20:28,3644.0,172.0,485.0,53.0,3669.0,307.0,800.0,1927.0,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,145.0,32,True,2023-09-22 20:00:00.000,0.32.0-post1,50.0,pennylane,conda-forge/pennylane,,,,702.0,644.0,https://pypi.org/project/pennylane,2023-08-28 18:06:33.000,58.0,36355.0,37480.0,https://anaconda.org/conda-forge/pennylane,2023-09-11 14:31:55.391,25873.0,,,,,2.0,70.0,,,,,,,,,,,,,,,,,,, +220,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-10-19 14:50:40.000000,2023-10-19 13:05:14,859.0,117.0,262.0,51.0,967.0,227.0,314.0,1652.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,82.0,32,True,2023-09-21 18:33:16.000,1.13.2,49.0,optimum,conda-forge/optimum,,,,733.0,702.0,https://pypi.org/project/optimum,2023-09-21 18:28:37.000,31.0,431685.0,432199.0,https://anaconda.org/conda-forge/optimum,2023-06-18 08:41:09.996,9259.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +221,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-10-19 12:37:44.000000,2023-10-19 12:37:43,935.0,5.0,181.0,47.0,295.0,96.0,119.0,1562.0,Evaluate: A library for easily evaluating machine learning models and datasets.,123.0,32,True,2023-10-13 15:57:18.000,0.4.1,14.0,evaluate,,,,,4390.0,4263.0,https://pypi.org/project/evaluate,2023-10-13 15:54:47.000,127.0,1034586.0,1034586.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +222,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 20:34:28.000,2023-09-14 23:00:07.000000,2023-09-14 23:00:02,815.0,5.0,320.0,122.0,765.0,205.0,163.0,1436.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",82.0,32,True,2023-05-26 02:36:01.000,0.7.5,30.0,tensorflow-model-optimization,,,,['tensorflow'],3260.0,3230.0,https://pypi.org/project/tensorflow-model-optimization,2023-05-26 02:35:42.850,30.0,455853.0,455853.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +223,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2023-10-12 21:32:31.000000,2023-10-12 17:24:54,2745.0,77.0,263.0,34.0,192.0,36.0,483.0,1165.0,Python interface for igraph.,71.0,32,False,2023-10-12 21:32:31.000,0.11.2,38.0,python-igraph,conda-forge/igraph,,,,407.0,,https://pypi.org/project/python-igraph,2023-10-12 21:32:31.000,407.0,286452.0,305628.0,https://anaconda.org/conda-forge/igraph,2023-10-04 20:43:38.652,468344.0,,,,,1.0,561897.0,,,,,4.0,,,,,,,,,,,,,, +224,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2023-10-18 18:59:53.000000,2023-10-18 18:59:52,3272.0,20.0,242.0,49.0,347.0,72.0,262.0,992.0,"OpenCL integration for Python, plus shiny features.",95.0,32,True,2023-10-12 23:06:24.000,2023.1.4,94.0,pyopencl,conda-forge/pyopencl,,,,1871.0,1666.0,https://pypi.org/project/pyopencl,2023-10-12 23:06:24.000,205.0,82428.0,106262.0,https://anaconda.org/conda-forge/pyopencl,2023-10-13 14:22:03.075,953370.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +225,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2023-10-16 18:57:52.000000,2023-10-16 18:57:51,916.0,13.0,214.0,60.0,98.0,45.0,173.0,968.0,Input pipeline framework.,27.0,32,True,2023-08-11 23:14:04.000,1.14.0,56.0,tensorflow-transform,,,,['tensorflow'],1561.0,1505.0,https://pypi.org/project/tensorflow-transform,2023-08-11 23:14:04.000,56.0,840513.0,840513.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +226,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-10-16 18:32:23.923000,2023-10-16 13:28:53,623.0,44.0,88.0,25.0,464.0,288.0,384.0,812.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",43.0,32,True,2023-10-17 08:55:43.000,0.9.0,60.0,hvplot,conda-forge/hvplot,,,,3854.0,3761.0,https://pypi.org/project/hvplot,2023-10-16 15:05:47.000,93.0,119986.0,132025.0,https://anaconda.org/conda-forge/hvplot,2023-10-16 18:32:23.923,481565.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +227,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2023-10-18 08:51:11.000000,2022-06-10 09:12:18,238.0,,12800.0,1567.0,222.0,713.0,584.0,49596.0,The worlds simplest facial recognition api for Python and the command line.,54.0,31,False,2018-04-02 17:18:43.000,1.2.2,2.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],19.0,19.0,https://pypi.org/project/face_recognition,,,56138.0,56655.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,18610.0,,,,,2.0,1173.0,,,,,,,,,,,,,,,,,,, +228,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2023-10-19 14:45:32.000000,2023-10-19 06:06:47,2656.0,499.0,2074.0,252.0,1688.0,63.0,321.0,19846.0,You like pytorch? You like micrograd? You love tinygrad!.,223.0,31,True,2023-08-27 16:40:37.000,0.7.0,4.0,,,,,['pytorch'],28.0,28.0,,,,,,,,,,,,,1.0,,,,,,,,,tinygrad/tinygrad,,,,,,,,,,, +229,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-10-19 10:37:35.000000,2023-09-15 09:18:04,1952.0,10.0,2137.0,269.0,875.0,226.0,581.0,12636.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",120.0,31,True,2023-07-18 11:35:09.110,0.9.3,32.0,pyqlib,,,,['pytorch'],20.0,19.0,https://pypi.org/project/pyqlib,2022-06-15 06:55:10.000,1.0,1736.0,1746.0,,,,,,,,2.0,392.0,,,,,,,,,,,,,,,,,,, +230,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-10-19 08:23:19.000000,2023-09-27 02:34:22,2153.0,8.0,2670.0,193.0,3581.0,1249.0,3835.0,11288.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",146.0,31,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],114.0,114.0,https://pypi.org/project/paddledet,,,644.0,644.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +231,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2023-07-21 09:09:23.000000,2023-07-21 09:09:17,859.0,,1358.0,420.0,82.0,34.0,158.0,9608.0,TensorFlow-based neural network library.,58.0,31,True,2022-12-15 16:54:01.069,2.0.1,28.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1209.0,1157.0,https://pypi.org/project/dm-sonnet,2020-03-27 10:36:10.000,52.0,15395.0,15946.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,25941.0,,,,,3.0,,,,,,,,,google-deepmind/sonnet,,,,,,,,,,, +232,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,,2016-03-31 12:05:53.000,2023-09-05 19:14:27.000000,2020-11-30 04:34:51,613.0,,2314.0,461.0,258.0,555.0,362.0,9601.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,31,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4665.0,4665.0,https://pypi.org/project/tflearn,,,8355.0,8355.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +233,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-10-02 22:40:56.000000,2023-10-02 22:40:55,1387.0,2.0,1406.0,304.0,889.0,129.0,758.0,8954.0,AutoML library for deep learning.,143.0,31,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],591.0,580.0,https://pypi.org/project/autokeras,2022-04-30 05:46:13.000,11.0,14086.0,14315.0,,,,,,,,2.0,16310.0,,,,,,,,,,,,,,,,,,, +234,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-10-16 10:25:14.000000,2023-10-09 21:01:10,546.0,4.0,1155.0,164.0,427.0,58.0,468.0,7786.0,Automatic extraction of relevant features from time series:.,90.0,31,True,2023-06-14 21:34:06.791,0.20.1,30.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],94.0,19.0,https://pypi.org/project/tsfresh,2021-12-21 03:37:03.000,75.0,240273.0,272189.0,https://anaconda.org/conda-forge/tsfresh,2023-07-30 07:29:21.371,1308596.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +235,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2023-10-19 11:58:35.000000,2023-10-19 11:58:35,1091.0,22.0,1490.0,108.0,87.0,8.0,770.0,7692.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",46.0,31,True,2023-02-23 10:07:02.320,0.0.79,78.0,deepface,,,,,2009.0,1995.0,https://pypi.org/project/deepface,2023-01-24 23:15:00.809,14.0,56965.0,56965.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +236,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-10-18 14:39:11.000000,2023-04-18 11:08:13,2759.0,,1239.0,214.0,705.0,170.0,826.0,7172.0,Automated Machine Learning with scikit-learn.,88.0,31,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],533.0,494.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,39.0,26739.0,27393.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,19632.0,,,,,2.0,50.0,,,,,,,,,,,,,,,,,,, +237,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2023-10-16 22:01:55.000000,2023-07-14 06:46:40,354.0,,1455.0,134.0,125.0,13.0,307.0,7041.0,A Python implementation of global optimization with gaussian processes.,41.0,31,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2220.0,2117.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,103.0,194605.0,194606.0,,,,,,,,2.0,138.0,,,,,,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,, +238,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-10-19 05:05:53.000000,2023-10-18 04:26:23,5761.0,67.0,835.0,113.0,1537.0,98.0,571.0,6829.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",92.0,31,True,2023-09-01 02:07:50.033,2.5.1,113.0,perspective-python,conda-forge/perspective,,,['jupyter'],103.0,100.0,https://pypi.org/project/perspective-python,,,7041.0,21517.0,https://anaconda.org/conda-forge/perspective,2023-10-09 04:05:53.222,463848.0,,,,,2.0,1360.0,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2427.0,,2023-10-08 20:06:17.808,3.0,,,,,,,,,,,, +239,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-10-19 05:50:16.000000,2023-10-17 19:37:45,1461.0,114.0,542.0,72.0,573.0,76.0,190.0,6825.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",37.0,31,False,2023-09-11 17:53:22.000,2.5.0,24.0,cleanlab,conda-forge/cleanlab,,,,197.0,189.0,https://pypi.org/project/cleanlab,2023-09-11 17:53:22.000,8.0,14488.0,15072.0,https://anaconda.org/conda-forge/cleanlab,2023-09-12 22:14:32.939,17546.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +240,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-10-16 15:05:11.000000,2023-10-13 06:29:55,1088.0,46.0,720.0,59.0,850.0,242.0,939.0,6541.0,A python library for user-friendly forecasting and anomaly detection on time series.,104.0,31,True,2023-09-16 18:00:33.000,0.26.0,37.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,394.0,389.0,https://pypi.org/project/u8darts,2023-09-16 18:00:33.000,5.0,13073.0,14431.0,https://anaconda.org/conda-forge/u8darts-all,2023-09-16 21:13:02.960,36511.0,https://hub.docker.com/r/unit8/darts,2023-09-16 17:47:31.409750,,410.0,2.0,,,,,,,,,,,,,,,,,,,, +241,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2023-10-05 05:04:06.000000,2023-07-17 16:59:29,152.0,,1008.0,199.0,92.0,132.0,281.0,5588.0,Official Kaggle API.,37.0,31,True,2023-07-17 17:06:58.000,1.5.16,59.0,kaggle,conda-forge/kaggle,,,,393.0,19.0,https://pypi.org/project/kaggle,2023-09-19 19:12:15.000,374.0,187770.0,191515.0,https://anaconda.org/conda-forge/kaggle,2023-07-18 03:35:17.292,138585.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +242,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 09:34:48.000,2023-10-18 16:55:46.000000,2023-10-18 16:55:37,764.0,31.0,353.0,72.0,274.0,53.0,492.0,4301.0,Visualizer for pandas data structures.,30.0,31,True,2023-10-02 20:11:29.000,3.7.0,175.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",914.0,893.0,https://pypi.org/project/dtale,2023-10-02 19:47:12.000,21.0,106958.0,113097.0,https://anaconda.org/conda-forge/dtale,2023-10-02 20:41:19.114,251718.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +243,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-10-18 09:34:42.000000,2023-10-16 07:43:21,1414.0,49.0,740.0,74.0,1728.0,267.0,614.0,3840.0,Probabilistic time series modeling in Python.,109.0,31,True,2023-10-18 09:34:42.000,0.13.7,97.0,gluonts,anaconda/gluonts,,,['mxnet'],13.0,,https://pypi.org/project/gluonts,2023-10-18 09:34:42.000,13.0,229499.0,229523.0,https://anaconda.org/anaconda/gluonts,2023-06-23 14:26:58.411,576.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +244,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-10-11 16:57:02.000000,2023-10-11 16:57:02,1071.0,18.0,342.0,60.0,1322.0,116.0,171.0,3720.0,A Python toolbox for performing gradient-free optimization.,50.0,31,True,2023-10-10 10:46:49.000,1.0.0,45.0,nevergrad,conda-forge/nevergrad,,,,578.0,551.0,https://pypi.org/project/nevergrad,2023-10-10 10:46:49.000,27.0,81405.0,82442.0,https://anaconda.org/conda-forge/nevergrad,2023-09-21 13:51:23.949,42536.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +245,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2023-10-16 23:55:29.000000,2023-10-16 23:55:06,239.0,4.0,262.0,46.0,49.0,29.0,88.0,3589.0,A simple command-line utility for querying and monitoring GPU status.,17.0,31,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,4259.0,4129.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,130.0,1178766.0,1186365.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,265995.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +246,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-10-18 19:23:38.000000,2023-02-05 22:03:50,437.0,,500.0,63.0,207.0,171.0,147.0,3529.0,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,,,,5205.0,5154.0,https://pypi.org/project/hnswlib,2023-02-05 22:20:00.654,51.0,719477.0,722834.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,114161.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +247,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2023-10-12 06:56:41.568000,2023-10-11 17:58:18,434.0,9.0,602.0,79.0,226.0,76.0,401.0,3288.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,31,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1170.0,1132.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,38.0,172684.0,187231.0,https://anaconda.org/conda-forge/implicit,2023-10-12 06:56:41.568,537229.0,,,,,1.0,596.0,,,,,,,,,,,,,,,,,,, +248,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-10-17 18:47:20.000000,2023-09-20 00:35:48,3821.0,8.0,504.0,57.0,868.0,320.0,961.0,3246.0,A highly efficient implementation of Gaussian Processes in PyTorch.,125.0,31,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1665.0,1598.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,67.0,220861.0,223984.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,128069.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +249,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-09-25 16:33:45.000000,2023-08-26 23:30:34,979.0,10.0,570.0,101.0,331.0,29.0,709.0,3183.0,"Fast, flexible and easy to use probabilistic modelling in Python.",71.0,31,True,2023-09-17 19:03:32.000,0.14.9,73.0,pomegranate,conda-forge/pomegranate,,,,1050.0,993.0,https://pypi.org/project/pomegranate,2023-09-17 19:03:32.000,57.0,22971.0,26320.0,https://anaconda.org/conda-forge/pomegranate,2023-09-07 11:32:40.942,137325.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-10-18 22:16:45.000000,2022-05-31 03:18:45,1556.0,,425.0,92.0,122.0,71.0,348.0,3154.0,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,47.0,31,False,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,1010.0,953.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,57.0,252106.0,254879.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,99859.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +251,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2023-06-16 13:24:39.196000,2022-08-22 18:21:12,586.0,,561.0,77.0,72.0,59.0,161.0,2900.0,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,31,False,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,4320.0,4156.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000,164.0,1885174.0,1888293.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,237048.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +252,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-10-15 20:00:34.000000,2023-04-20 03:41:53,699.0,,240.0,39.0,792.0,68.0,281.0,2607.0,PyTorch extensions for high performance and large scale training.,72.0,31,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],3274.0,3216.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,58.0,492536.0,499512.0,https://anaconda.org/conda-forge/fairscale,2023-06-16 19:27:50.549,160452.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +253,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-10-19 08:44:00.987000,2023-10-18 14:22:49,10636.0,79.0,371.0,60.0,2838.0,986.0,2092.0,2506.0,"With Holoviews, your data visualizes itself.",137.0,31,True,2023-08-17 07:08:33.000,1.17.1,75.0,holoviews,conda-forge/holoviews,,,['jupyter'],,,https://pypi.org/project/holoviews,,,310571.0,347110.0,https://anaconda.org/conda-forge/holoviews,2023-10-19 08:44:00.987,1418408.0,,,,,2.0,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,1079.0,,,,,,,,,,,,,,, +254,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-10-18 14:09:48.000000,2023-10-18 14:09:33,2908.0,26.0,683.0,79.0,838.0,256.0,611.0,2491.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",120.0,31,True,2023-10-16 21:49:45.000,0.1.24,23.0,pgmpy,,,,,768.0,737.0,https://pypi.org/project/pgmpy,2023-10-16 20:46:07.000,31.0,51936.0,51943.0,,,,,,,,2.0,292.0,,,,,,,,,,,,,,,,,,, +255,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-10-19 14:23:32.000000,2023-10-17 16:06:12,765.0,40.0,278.0,35.0,837.0,40.0,237.0,2175.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",39.0,31,True,2023-09-09 13:24:13.000,0.7.0,13.0,python-doctr,,,,"['tensorflow', 'pytorch']",200.0,197.0,https://pypi.org/project/python-doctr,2023-09-09 13:24:13.000,3.0,12623.0,73194.0,,,,,,,,2.0,1938289.0,,,,,,,,,,,,,,,,,,, +256,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-10-09 11:45:47.000000,2023-10-09 11:43:56,191.0,4.0,249.0,57.0,69.0,45.0,218.0,1853.0,A Python wrapper for the tesseract-ocr API.,29.0,31,True,2023-10-09 13:37:06.000,2.6.2,16.0,tesserocr,conda-forge/tesserocr,,,,890.0,890.0,https://pypi.org/project/tesserocr,,,65869.0,68490.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,125841.0,,,,,2.0,54.0,,,,,,,,,,,,,,,,,,, +257,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 01:09:14.000,2023-10-16 21:24:10.000000,2023-10-16 17:20:19,4118.0,160.0,1035.0,154.0,1069.0,34.0,592.0,1650.0,Documentation and samples for ArcGIS API for Python.,89.0,31,True,2023-10-03 15:37:18.000,2.2.0,33.0,arcgis,,esridocker/arcgis-api-python-notebook,,,3.0,3.0,https://pypi.org/project/arcgis,,,65643.0,65754.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,3.0,9437.0,,,,,,,,,,,,,,,,,,, +258,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-10-09 13:50:59.000000,2023-09-27 17:00:20,1748.0,67.0,363.0,55.0,109.0,44.0,413.0,1590.0,Reinforcement Learning environments based on the 1993 game Doom.,53.0,31,True,2023-09-27 21:19:28.000,1.2.2,28.0,vizdoom,,,,,219.0,203.0,https://pypi.org/project/vizdoom,2023-09-27 21:19:28.000,16.0,3410.0,3539.0,,,,,,,,1.0,11755.0,,,,,,,,Farama-Foundation/ViZDoom,,,,,,,,,,, +259,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2023-10-19 13:40:41.000000,2023-10-05 21:15:32,1049.0,23.0,202.0,52.0,201.0,33.0,271.0,1497.0,A full spaCy pipeline and models for scientific/biomedical documents.,31.0,31,True,2023-09-30 19:50:35.000,0.5.3,14.0,scispacy,,,,,799.0,769.0,https://pypi.org/project/scispacy,2023-09-30 19:50:35.000,30.0,62917.0,62917.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +260,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-10-16 21:21:45.000000,2023-10-16 21:14:30,1074.0,1.0,227.0,35.0,245.0,50.0,269.0,1440.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,31,True,2023-03-15 20:50:50.683,2.0.3,43.0,pmdarima,conda-forge/pmdarima,,,,6456.0,6375.0,https://pypi.org/project/pmdarima,2023-03-15 20:50:50.683,81.0,1624210.0,1652172.0,https://anaconda.org/conda-forge/pmdarima,2023-06-16 19:23:20.782,1006656.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +261,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-10-13 08:03:24.837000,2023-10-11 07:28:04,1466.0,11.0,160.0,33.0,239.0,1.0,,1287.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,31,True,2023-10-12 06:00:47.000,1.3.2,74.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1341.0,1299.0,https://pypi.org/project/spacy-transformers,2023-10-12 05:45:32.000,42.0,379977.0,380986.0,https://anaconda.org/conda-forge/spacy-transformers,2023-10-13 08:03:24.837,23211.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +262,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-10-19 12:37:33.000000,2023-10-19 00:02:56,3537.0,192.0,48.0,151.0,460.0,117.0,319.0,1229.0,Multiplatform plotting library based on Grammar of Graphics.,20.0,31,True,2023-09-13 17:19:02.000,4.0.1,64.0,lets-plot,,,,,49.0,48.0,https://pypi.org/project/lets-plot,2023-09-13 16:46:46.000,1.0,28835.0,28846.0,,,,,,,,2.0,539.0,,,,,,,,,,,,,,,,,,, +263,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2023-10-16 10:29:18.000000,2023-10-16 10:24:24,1106.0,27.0,268.0,42.0,492.0,31.0,178.0,1166.0,ARCH models in Python.,35.0,31,False,2023-09-26 15:06:52.000,6.2.0,45.0,arch,conda-forge/arch-py,,,,1268.0,1200.0,https://pypi.org/project/arch,2023-09-26 15:06:52.000,68.0,271483.0,278107.0,https://anaconda.org/conda-forge/arch-py,2023-10-06 06:11:20.798,264981.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +264,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-10-19 08:40:02.000000,2023-10-17 17:23:54,12416.0,244.0,263.0,33.0,1664.0,349.0,589.0,960.0,Python package for earth-observing satellite data processing.,145.0,31,False,2023-10-17 11:10:26.000,0.44.0,59.0,satpy,conda-forge/satpy,,,,110.0,110.0,https://pypi.org/project/satpy,,,7817.0,12088.0,https://anaconda.org/conda-forge/satpy,2023-10-17 14:26:15.835,170846.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +265,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 21:24:50.000,2023-10-19 12:34:00.000000,2023-10-13 14:39:39,158997.0,3619.0,79.0,51.0,1915.0,94.0,279.0,661.0,TensorFlow ROCm port.,4491.0,31,True,2022-12-06 16:42:53.965,2.9.4,97.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2023-10-04 19:01:50.000,5.0,3647.0,3647.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +266,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2023-10-18 15:44:46.000000,2023-10-18 15:44:46,17043.0,61.0,108.0,26.0,3545.0,509.0,3373.0,459.0,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2023-08-10 15:56:42.000,0.19.3,108.0,datalad,conda-forge/datalad,,,,63.0,,https://pypi.org/project/datalad,2023-08-10 15:56:42.000,63.0,17836.0,27770.0,https://anaconda.org/conda-forge/datalad,2023-08-10 20:20:25.522,397378.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,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 11:25:57.000,2023-10-19 14:38:46.000000,2023-10-19 10:18:44,1767.0,199.0,49.0,14.0,1318.0,37.0,194.0,412.0,The MLOps stack component for experiment tracking.,52.0,31,True,2023-10-10 09:20:28.000,1.8.2,189.0,neptune-client,conda-forge/neptune-client,,,,44.0,,https://pypi.org/project/neptune-client,2023-10-12 15:59:37.000,44.0,534666.0,539963.0,https://anaconda.org/conda-forge/neptune-client,2023-10-10 10:39:44.277,217209.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +268,CNTK,microsoft/CNTK,ml-frameworks,,https://github.com/microsoft/CNTK,https://github.com/microsoft/CNTK,MIT,2015-11-26 09:52:06.000,2023-03-11 07:31:35.000000,2022-09-23 14:06:50,16117.0,,4382.0,1262.0,557.0,836.0,2543.0,17412.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",274.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,19.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,459.0,612.0,,,,,,,,3.0,14317.0,,,,,4.0,,,,,,,,,,,,,, +269,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-10-13 16:18:14.000000,2023-10-13 16:18:12,295.0,21.0,2514.0,134.0,42.0,111.0,127.0,15576.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",19.0,30,True,2023-10-13 16:16:32.000,1.6.0,180.0,vit-pytorch,,,,['pytorch'],331.0,325.0,https://pypi.org/project/vit-pytorch,2023-10-13 16:16:32.000,6.0,17270.0,17270.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2023-10-12 17:53:25.000000,2023-10-04 01:39:27,564.0,1.0,2253.0,221.0,234.0,91.0,409.0,9699.0,A little word cloud generator in Python.,69.0,30,True,2023-05-05 22:40:27.000,1.9.1.1,12.0,wordcloud,conda-forge/wordcloud,,,,19.0,19.0,https://pypi.org/project/wordcloud,,,1374915.0,1386183.0,https://anaconda.org/conda-forge/wordcloud,2023-07-07 15:15:49.535,439488.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +271,pandas-ai,gventuri/pandas-ai,others,,https://github.com/gventuri/pandas-ai,https://github.com/gventuri/pandas-ai,MIT,2023-04-22 12:58:01.000,2023-10-19 00:06:08.000000,2023-10-18 19:30:33,546.0,228.0,694.0,81.0,226.0,112.0,228.0,8763.0,"PandasAI is the Python library that integrates Gen AI into pandas, making data analysis conversational.",48.0,30,True,2023-10-10 21:12:49.000,1.3.3,79.0,pandas-ai,,,,,2296.0,2296.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +272,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-10-19 01:05:57.000000,2023-10-19 01:05:56,1143.0,21.0,1251.0,105.0,606.0,673.0,515.0,7626.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,121.0,30,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],2028.0,2028.0,,,,,3635.0,https://anaconda.org/conda-forge/nvidia-apex,2023-06-16 16:18:35.589,174494.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +273,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2023-10-17 14:32:20.000000,2023-10-17 14:32:20,1754.0,51.0,717.0,126.0,264.0,410.0,328.0,6493.0,Uniform Manifold Approximation and Projection.,126.0,30,True,2023-09-15 15:26:00.000,0.5.4,27.0,umap-learn,conda-forge/umap-learn,,,,1.0,1.0,https://pypi.org/project/umap-learn,,,990913.0,1046097.0,https://anaconda.org/conda-forge/umap-learn,2023-09-16 02:25:50.473,2207368.0,,,,,2.0,,,,,,-6.0,,,,,,,,,,,,,, +274,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-10-17 23:02:09.000000,2023-10-13 16:56:01,916.0,27.0,863.0,136.0,596.0,126.0,288.0,6237.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,82.0,30,True,2023-09-05 05:01:49.000,0.10.1,13.0,dowhy,conda-forge/dowhy,,,,304.0,297.0,https://pypi.org/project/dowhy,2023-09-05 05:01:49.000,7.0,38359.0,38782.0,https://anaconda.org/conda-forge/dowhy,2023-06-16 19:19:18.359,17366.0,,,,,2.0,33.0,,,,,,,,,,,,,,,,,,, +275,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-09-20 11:21:28.000000,2023-09-20 11:21:28,918.0,1.0,634.0,148.0,789.0,141.0,355.0,4660.0,Deep Learning Visualization Toolkit.,33.0,30,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2398.0,2358.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,40.0,148850.0,148858.0,,,,,,,,2.0,328.0,,,,,,,,,,,,,,,,,,, +276,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-08-27 19:16:02.000000,2023-04-30 18:36:20,483.0,,668.0,92.0,206.0,137.0,356.0,4440.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,30,True,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1278.0,1231.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000,47.0,671827.0,674238.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,166384.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +277,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-10-17 14:24:23.000000,2023-10-16 16:08:43,562.0,29.0,691.0,80.0,297.0,87.0,268.0,4313.0,Uplift modeling and causal inference with machine learning algorithms.,56.0,30,True,2023-08-28 06:52:12.000,0.14.1,22.0,causalml,,,,,169.0,168.0,https://pypi.org/project/causalml,2023-08-28 06:52:12.000,1.0,210209.0,210209.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +278,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-10-18 20:14:13.000000,2023-10-18 11:57:02,2141.0,1.0,253.0,45.0,2088.0,300.0,638.0,4277.0,Aim An easy-to-use & supercharged open-source experiment tracker.,58.0,30,True,2023-10-04 15:24:14.000,4.0.3,781.0,aim,conda-forge/aim,,,,350.0,335.0,https://pypi.org/project/aim,2023-10-18 20:14:13.000,15.0,125703.0,127144.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,38925.0,,,,,2.0,,,,,,-3.0,,,,,,,,,,,,,, +279,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-10-19 09:36:19.000000,2023-10-13 04:50:39,1019.0,2.0,435.0,221.0,714.0,154.0,325.0,4213.0,Model interpretability and understanding for PyTorch.,102.0,30,True,2022-12-28 01:14:50.000,0.6.0,8.0,captum,conda-forge/captum,,,['pytorch'],1498.0,1498.0,https://pypi.org/project/captum,,,129236.0,129991.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,16619.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +280,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-08-27 20:08:56.023000,2023-08-27 17:01:46,1130.0,22.0,597.0,90.0,265.0,23.0,251.0,4093.0,Geocoding library for Python.,133.0,30,True,2023-08-27 18:59:34.000,2.4.0,36.0,geopy,conda-forge/geopy,,,,,,https://pypi.org/project/geopy,,,4085044.0,4114926.0,https://anaconda.org/conda-forge/geopy,2023-08-27 20:08:56.023,1195290.0,,,,,3.0,2.0,,,,,-6.0,,,,,,,,,,,,,, +281,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-10-13 14:31:38.000000,2022-09-24 16:20:26,585.0,,818.0,89.0,203.0,101.0,418.0,4085.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3374.0,3342.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,32.0,72971.0,73761.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,18961.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +282,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-10-19 10:12:16.000000,2023-10-18 13:35:38,15287.0,81.0,469.0,70.0,3309.0,796.0,1537.0,3581.0,cuML - RAPIDS Machine Learning Library.,166.0,30,True,2023-10-11 18:02:50.000,23.10.00,35.0,cuml,,,,,5.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,5.0,1647.0,1647.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +283,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-10-19 11:03:44.000000,2023-10-04 07:40:23,3656.0,4.0,476.0,102.0,1042.0,250.0,368.0,3483.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2023-10-17 15:07:51.000,0.12.42,110.0,bqplot,conda-forge/bqplot,,,['jupyter'],170.0,49.0,https://pypi.org/project/bqplot,2023-10-17 15:07:51.000,105.0,135504.0,170649.0,https://anaconda.org/conda-forge/bqplot,2023-07-12 07:26:23.351,1227755.0,,,,,2.0,,,bqplot,https://www.npmjs.com/package/bqplot,5200.0,,2023-10-17 10:48:26.195,16.0,,,,,,,,,,,, +284,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2023-09-28 08:31:00.000000,2023-09-28 08:30:38,400.0,24.0,247.0,63.0,51.0,9.0,,3189.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",14.0,30,True,2023-09-28 08:32:07.000,4.6.0,26.0,textdistance,conda-forge/textdistance,,,,5070.0,5007.0,https://pypi.org/project/textdistance,2023-09-28 08:30:50.000,63.0,371363.0,378732.0,https://anaconda.org/conda-forge/textdistance,2023-06-16 16:13:38.456,478178.0,,,,,2.0,916.0,,,,,,,,,,,,,,,,,,, +285,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-10-19 08:20:05.000000,2023-10-16 22:11:43,1206.0,31.0,209.0,30.0,368.0,104.0,134.0,3072.0,Lightning fast forecasting with statistical and econometric models.,32.0,30,True,2023-02-28 19:25:43.000,1.5.0,23.0,statsforecast,conda-forge/statsforecast,,,,515.0,515.0,https://pypi.org/project/statsforecast,,,424826.0,427565.0,https://anaconda.org/conda-forge/statsforecast,2023-08-25 15:46:41.512,52050.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +286,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2023-09-28 14:19:11.000000,2023-09-10 15:15:16,1059.0,46.0,226.0,60.0,109.0,4.0,265.0,2979.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,30,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,473.0,464.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,9.0,12733.0,12749.0,,,,,,,,2.0,933.0,,,,,,,,,,,,,,,,,,, +287,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-08-05 13:29:17.000000,2023-08-05 13:28:57,327.0,2.0,320.0,65.0,69.0,9.0,117.0,2853.0,A Python Perceptual Image Hashing Module.,25.0,30,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,11168.0,10789.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,379.0,1449019.0,1453129.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,341203.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +288,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2023-09-23 22:00:36.000000,2023-07-13 17:20:36,617.0,,320.0,49.0,119.0,57.0,134.0,2673.0,A python library for decision tree visualization and model interpretation.,25.0,30,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,941.0,917.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,136424.0,138157.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,60672.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +289,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-10-19 08:07:07.000000,2023-10-19 08:07:06,1113.0,39.0,220.0,26.0,948.0,89.0,383.0,2557.0,A python library for self-supervised learning on images.,33.0,30,True,2023-10-04 07:51:48.000,1.4.21,108.0,lightly,,,,['pytorch'],179.0,174.0,https://pypi.org/project/lightly,2023-10-04 07:52:44.000,5.0,55226.0,55226.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +290,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2023-10-06 04:01:21.000000,2022-12-25 20:52:27,843.0,,519.0,99.0,1045.0,260.0,297.0,2532.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",85.0,30,True,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1413.0,1391.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,81412.0,81412.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-10-05 22:44:57.000000,2023-09-30 19:28:42,2645.0,28.0,340.0,37.0,498.0,43.0,212.0,2523.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",60.0,30,True,2023-09-11 23:15:50.000,0.3.9,46.0,textattack,conda-forge/textattack,,,,202.0,197.0,https://pypi.org/project/textattack,2023-09-11 23:15:50.000,5.0,5121.0,5302.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,6725.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2023-10-19 12:23:43.000000,2023-10-18 21:22:11,6668.0,580.0,314.0,75.0,7850.0,126.0,300.0,2489.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",105.0,30,True,2023-10-12 17:18:18.000,0.26.1,447.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2023-10-18 21:31:08.000,4.0,16416.0,16593.0,,,,,,,,3.0,7445.0,,,,,,,,,,,,,,,,,,, +293,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-08-10 11:30:02.000000,2023-08-01 12:07:51,1342.0,14.0,286.0,23.0,43.0,25.0,194.0,2081.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,20.0,30,True,2023-08-01 11:53:07.000,0.4.3,88.0,explainerdashboard,conda-forge/explainerdashboard,,,,391.0,382.0,https://pypi.org/project/explainerdashboard,2023-08-01 11:53:07.000,9.0,48832.0,50020.0,https://anaconda.org/conda-forge/explainerdashboard,2023-06-16 19:23:52.178,40406.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +294,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 16:21:43.000,2023-10-19 08:09:24.000000,2023-09-09 10:28:34,12583.0,2.0,285.0,23.0,255.0,65.0,284.0,1939.0,Huggingface Transformers + Adapters =.,1714.0,30,True,2023-04-06 21:17:41.000,adapters3.2.1,18.0,adapter-transformers,,,,['huggingface'],243.0,236.0,https://pypi.org/project/adapter-transformers,2022-05-18 08:45:47.000,7.0,16270.0,16270.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +295,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-10-16 14:40:18.000000,2023-08-09 07:05:49,2440.0,4.0,435.0,74.0,1252.0,143.0,679.0,1766.0,Gaussian processes in TensorFlow.,83.0,30,True,2023-08-09 09:23:26.000,2.9.0,48.0,gpflow,conda-forge/gpflow,,,['tensorflow'],607.0,571.0,https://pypi.org/project/gpflow,2023-08-09 09:23:26.000,36.0,45015.0,45384.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,24038.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +296,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 18:47:16.000,2023-10-08 14:28:44.000000,2023-10-08 14:28:43,1157.0,40.0,207.0,36.0,1081.0,25.0,496.0,1712.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,30,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],249.0,246.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,3.0,1793.0,2403.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,15878.0,,,,,1.0,,,,,,,,,Lightning-Universe/lightning-flash,,,,,,,,,,, +297,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-10-19 09:19:44.000000,2023-10-19 09:19:44,823.0,34.0,358.0,36.0,837.0,175.0,282.0,1655.0,A Python package to assess and improve fairness of machine learning models.,76.0,30,True,2023-07-28 09:05:39.000,0.9.0,19.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],26.0,2.0,https://pypi.org/project/fairlearn,2023-07-27 16:36:24.000,24.0,520937.0,521778.0,https://anaconda.org/conda-forge/fairlearn,2023-07-28 12:27:51.245,29455.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +298,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-10-01 22:45:04.870000,2023-08-28 18:19:10,1585.0,2.0,274.0,55.0,135.0,78.0,178.0,1633.0,"CUDA integration for Python, plus shiny features.",80.0,30,True,2023-07-06 18:53:22.000,2022.2.2,51.0,pycuda,conda-forge/pycuda,,,,2646.0,2427.0,https://pypi.org/project/pycuda,2022-12-21 02:24:00.995,219.0,33921.0,42230.0,https://anaconda.org/conda-forge/pycuda,2023-10-01 22:45:04.870,257596.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +299,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-10-05 09:23:28.000000,2023-10-05 09:23:23,1094.0,72.0,172.0,23.0,140.0,46.0,123.0,1522.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,24.0,30,True,2023-08-30 11:28:23.000,0.33.0,36.0,audiomentations,,,,,355.0,350.0,https://pypi.org/project/audiomentations,2023-08-30 11:28:23.000,5.0,16583.0,16583.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +300,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2023-10-18 14:52:12.000000,2023-10-18 12:34:50,3685.0,127.0,243.0,30.0,541.0,83.0,665.0,1484.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,72.0,30,True,2023-07-28 14:24:47.000,0.4.0,7.0,avalanche-lib,,,,,51.0,50.0,https://pypi.org/project/avalanche-lib,2023-07-28 14:24:47.000,1.0,1658.0,1658.0,,,,,,,,2.0,4.0,,,,,,,,,,,,,,,,,,, +301,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2023-10-19 13:22:13.000000,2023-10-18 19:05:26,1827.0,40.0,269.0,45.0,263.0,58.0,191.0,1440.0,TensorLy: Tensor Learning in Python.,66.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,543.0,494.0,https://pypi.org/project/tensorly,2023-01-14 21:19:00.648,49.0,23803.0,29378.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,362434.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +302,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2023-09-26 23:11:11.000000,2023-09-26 23:11:11,163.0,6.0,174.0,33.0,72.0,19.0,50.0,1370.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,30,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],1644.0,1634.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,10.0,978321.0,978888.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,18727.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +303,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2023-10-17 19:04:54.000000,2023-10-17 19:04:51,925.0,9.0,427.0,87.0,204.0,49.0,235.0,1369.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,71.0,30,True,2023-02-02 20:53:47.943,3.1.0,24.0,emcee,conda-forge/emcee,,,,2430.0,2079.0,https://pypi.org/project/emcee,2022-05-10 15:29:37.000,351.0,92044.0,95547.0,https://anaconda.org/conda-forge/emcee,2023-06-16 13:16:26.628,311837.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +304,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-10-18 01:29:39.000000,2023-10-17 11:24:31,1508.0,19.0,162.0,19.0,755.0,106.0,432.0,1202.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,107.0,30,True,2023-09-18 03:57:15.000,0.26.0,59.0,pyjanitor,conda-forge/pyjanitor,,,,493.0,475.0,https://pypi.org/project/pyjanitor,2023-09-18 03:57:09.000,18.0,30968.0,33697.0,https://anaconda.org/conda-forge/pyjanitor,2023-06-16 16:12:04.304,182854.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +305,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-10-04 22:35:58.000000,2023-09-05 18:32:42,3006.0,31.0,267.0,35.0,37.0,4.0,472.0,1186.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2023-09-05 19:18:15.000,0.38.0,204.0,ktrain,,,,['tensorflow'],465.0,462.0,https://pypi.org/project/ktrain,2023-09-05 19:17:43.000,3.0,19841.0,19841.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +306,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2023-06-16 13:22:54.711000,2022-10-09 20:27:52,544.0,,105.0,32.0,54.0,72.0,75.0,901.0,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,,,,83635.0,80902.0,https://pypi.org/project/patsy,2022-10-09 20:29:01.698,2733.0,9413071.0,9519619.0,https://anaconda.org/conda-forge/patsy,2023-06-16 13:22:54.711,9163199.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +307,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-10-13 23:50:16.000000,2023-10-13 23:50:16,1859.0,14.0,217.0,19.0,285.0,48.0,269.0,748.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",44.0,30,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,994.0,912.0,https://pypi.org/project/salib,2022-06-22 01:55:54.000,82.0,104735.0,106385.0,https://anaconda.org/conda-forge/salib,2023-06-16 13:22:11.263,137020.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +308,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2023-10-17 19:20:16.000000,2023-10-07 23:47:13,1647.0,41.0,277.0,42.0,1262.0,259.0,361.0,667.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,30,True,2023-09-08 15:59:39.000,0.34.0,41.0,tensorflow-io,,,,['tensorflow'],33.0,,https://pypi.org/project/tensorflow-io,2023-09-08 14:58:40.000,33.0,3016854.0,3016854.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +309,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2023-09-30 21:07:31.348000,2023-08-17 17:52:43,277.0,5.0,107.0,24.0,50.0,35.0,54.0,451.0,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,25.0,30,True,2023-09-27 19:27:51.000,3.0.1,27.0,audioread,conda-forge/audioread,,,,16037.0,15677.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,360.0,1440290.0,1460177.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,715935.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-10-01 08:59:57.840000,2023-09-20 14:02:33,568.0,5.0,38.0,14.0,67.0,7.0,25.0,204.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,30,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,34453.0,34206.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,247.0,5398000.0,5451818.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,1991278.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +311,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-10-09 02:57:53.000000,2023-04-19 14:13:08,2404.0,,3342.0,592.0,217.0,42.0,,11730.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,1789.0,1730.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000,59.0,12395.0,12395.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +312,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-06-14 00:38:14.000000,2022-11-08 22:11:16,98.0,,1702.0,202.0,68.0,96.0,34.0,9413.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,29,True,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,10.0,2.0,https://pypi.org/project/english-words,2023-01-06 00:05:02.564,8.0,634292.0,634292.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +313,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 15:54:23.000,2023-06-16 19:20:12.183000,2020-04-16 08:02:22,154.0,,1840.0,218.0,46.0,96.0,94.0,8829.0,"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'],112.0,18.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,110961.0,111673.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,28487.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-10-18 01:23:49.000000,2023-10-12 14:24:06,2853.0,28.0,2011.0,190.0,391.0,171.0,471.0,8216.0,FinRL: Financial Reinforcement Learning.,106.0,29,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,23.0,23.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1093.0,1093.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +315,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-09-25 05:14:24.000000,2023-08-26 12:04:19,383.0,5.0,2082.0,288.0,96.0,284.0,446.0,8093.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,29,True,2022-12-20 21:17:57.000,test-resources-v3,12.0,imageai,conda-forge/imageai,,,,1453.0,1453.0,https://pypi.org/project/imageai,,,7126.0,20720.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,6513.0,,,,,2.0,886201.0,,,,,,,,,,,,,,,,,,, +316,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-10-17 13:36:42.000000,2023-10-17 13:07:02,1106.0,7.0,1164.0,142.0,152.0,224.0,1177.0,7748.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,125.0,29,False,2023-05-10 15:14:23.000,0.7.4,16.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],606.0,606.0,https://pypi.org/project/pytorch3d,,,3783.0,7129.0,https://anaconda.org/pytorch3d/pytorch3d,2023-06-16 16:19:10.555,157280.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +317,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 15:58:01.158000,2023-05-24 15:56:22,277.0,,909.0,269.0,98.0,82.0,81.0,7188.0,Visualizations for machine learning datasets.,31.0,29,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],210.0,202.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,207045.0,207045.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +318,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-08-17 14:43:11.000000,2023-08-16 23:55:56,220.0,4.0,1303.0,173.0,45.0,75.0,235.0,6538.0,2D and 3D Face alignment library build using pytorch.,26.0,29,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],29.0,19.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,10.0,53945.0,53945.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +319,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-10-19 13:46:55.000000,2023-10-19 02:10:06,1930.0,80.0,772.0,97.0,2151.0,258.0,846.0,6337.0,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",112.0,29,True,2023-06-30 22:19:00.811,0.8.2,1308.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",9.0,2.0,https://pypi.org/project/autogluon,2023-10-19 09:04:32.000,7.0,45439.0,45520.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-07-26 19:13:58.158186,15.0,4168.0,2.0,,,,,,,,,,,,,,,,,,,, +320,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-06-16 19:20:32.486000,2023-01-31 19:40:04,3203.0,,1390.0,191.0,783.0,38.0,423.0,5937.0,"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'],540.0,528.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,12.0,1043.0,1221.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7135.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +321,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2023-09-29 01:13:40.000000,2022-09-18 19:55:03,775.0,,1156.0,213.0,91.0,194.0,120.0,5453.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",27.0,29,False,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,411.0,392.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,15667.0,15667.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +322,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 15:53:12.000,2023-09-17 12:33:41.000000,2019-11-11 22:14:54,308.0,,1360.0,208.0,158.0,42.0,227.0,5442.0,Deep Reinforcement Learning for Keras.,41.0,29,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],775.0,721.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,54.0,1731.0,1731.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +323,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-10-15 19:50:43.241000,2023-10-15 15:38:28,589.0,51.0,657.0,108.0,173.0,10.0,337.0,5113.0,Python-tesseract is an optical character recognition (OCR) tool for python.,44.0,29,True,2023-10-15 15:39:44.000,0.3.13,26.0,pytesseract,conda-forge/pytesseract,,,,,,https://pypi.org/project/pytesseract,,,1172628.0,1187682.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,587127.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +324,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-08-30 13:05:18.000000,2023-08-30 13:04:28,247.0,1.0,851.0,124.0,38.0,62.0,143.0,4879.0,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'],2385.0,2349.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,36.0,833598.0,833926.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,13483.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +325,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-10-18 18:58:09.000000,2023-10-18 18:58:09,1510.0,38.0,793.0,144.0,1411.0,320.0,394.0,4588.0,Simple and Distributed Machine Learning.,112.0,29,True,2023-09-27 02:20:17.000,0.11.3,35.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,2023-09-26 22:58:19.000,3.0,295798.0,295798.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +326,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-06-16 16:15:44.326000,2022-01-27 13:24:16,139.0,,1005.0,154.0,112.0,94.0,79.0,4397.0,"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,,,,37728.0,37728.0,https://pypi.org/project/imutils,,,436055.0,438915.0,https://anaconda.org/conda-forge/imutils,2023-06-16 16:15:44.326,148756.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +327,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-06-16 19:26:38.185000,2022-07-07 05:16:43,738.0,,438.0,41.0,124.0,63.0,154.0,4138.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,927.0,901.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,26.0,161919.0,162423.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,14134.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +328,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-06-19 05:07:43.000000,2023-06-19 05:07:42,1342.0,,374.0,71.0,364.0,96.0,460.0,4101.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-01-25 17:37:52.489,0.8.4,28.0,sacred,conda-forge/sacred,,,,2727.0,2619.0,https://pypi.org/project/sacred,2023-01-25 17:37:52.489,108.0,34405.0,34582.0,https://anaconda.org/conda-forge/sacred,2023-06-16 19:27:54.498,4089.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +329,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-06-16 19:28:08.623000,2023-02-17 16:34:52,3273.0,,522.0,121.0,361.0,75.0,728.0,3838.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,29,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,345.0,296.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,49.0,71313.0,73138.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,40153.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +330,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2023-09-05 09:19:38.000000,2022-08-23 15:59:41,615.0,,798.0,148.0,118.0,132.0,99.0,3789.0,Technical Analysis Library using Pandas and Numpy.,29.0,29,False,2022-08-23 16:03:04.047,0.10.2,54.0,ta,conda-forge/ta,,,,2651.0,2608.0,https://pypi.org/project/ta,2022-08-23 16:03:04.047,43.0,81669.0,82294.0,https://anaconda.org/conda-forge/ta,2023-06-16 19:24:38.213,20010.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +331,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2023-08-19 15:07:22.000000,2022-10-25 17:55:33,609.0,,116.0,76.0,66.0,15.0,120.0,3615.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,29,True,2022-02-09 19:44:15.000,6.1.1,48.0,ftfy,conda-forge/ftfy,,,,14708.0,14097.0,https://pypi.org/project/ftfy,2022-02-09 19:44:15.000,611.0,2965024.0,2968517.0,https://anaconda.org/conda-forge/ftfy,2023-06-16 13:23:10.061,272506.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +332,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2023-10-18 20:24:19.000000,2023-10-18 20:24:11,1676.0,86.0,514.0,41.0,723.0,429.0,280.0,3261.0,Time series forecasting with PyTorch.,43.0,29,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,10.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,10.0,56338.0,57722.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,51229.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +333,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-10-19 09:22:28.000000,2023-10-10 19:51:49,1111.0,45.0,444.0,61.0,635.0,1.0,485.0,3190.0,On-device wake word detection powered by deep learning.,36.0,29,True,2023-06-07 17:55:33.855,2.2.1,31.0,pvporcupine,,,,,33.0,22.0,https://pypi.org/project/pvporcupine,2022-06-28 23:59:24.000,11.0,3567.0,3567.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +334,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-07-08 17:08:15.000000,2022-04-29 04:19:24,1698.0,,399.0,47.0,1084.0,6.0,353.0,3181.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1043.0,1010.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,33.0,98541.0,98541.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +335,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 03:16:39.000,2023-09-18 10:49:10.000000,2023-06-20 03:14:12,435.0,,275.0,34.0,474.0,31.0,30.0,2860.0,torch-optimizer -- collection of optimizers for Pytorch.,26.0,29,True,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],1057.0,1015.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,42.0,104475.0,104775.0,https://anaconda.org/conda-forge/torch-optimizer,2023-06-16 19:25:40.043,9015.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +336,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-10-07 20:19:04.855000,2023-08-31 20:43:50,463.0,2.0,729.0,120.0,113.0,57.0,365.0,2838.0,"Hidden Markov Models in Python, with scikit-learn like API.",45.0,29,True,2023-04-18 18:59:00.534,0.3.0,12.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2202.0,2063.0,https://pypi.org/project/hmmlearn,2022-02-10 14:13:50.000,139.0,163286.0,168603.0,https://anaconda.org/conda-forge/hmmlearn,2023-10-07 20:19:04.855,196749.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +337,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-10-13 10:43:44.000000,2023-10-13 10:43:44,1131.0,37.0,364.0,43.0,62.0,121.0,456.0,2787.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",23.0,29,True,2023-09-26 17:27:09.000,1.1.1,84.0,mljar-supervised,conda-forge/mljar-supervised,,,,91.0,89.0,https://pypi.org/project/mljar-supervised,2023-09-26 17:23:51.000,2.0,6236.0,6641.0,https://anaconda.org/conda-forge/mljar-supervised,2023-09-27 04:54:23.157,11349.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +338,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-10-18 05:30:12.000000,2023-10-10 07:55:01,3447.0,39.0,338.0,157.0,1148.0,34.0,59.0,2649.0,Neural Network Libraries.,73.0,29,True,2023-07-14 02:40:27.000,1.36.0,76.0,nnabla,,,,,54.0,,https://pypi.org/project/nnabla,2022-05-01 11:42:01.000,54.0,3749.0,3761.0,,,,,,,,3.0,906.0,,,,,,,,,,,,,,,,,,, +339,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-10-08 20:21:44.000000,2023-09-26 10:23:29,124.0,17.0,257.0,50.0,19.0,45.0,89.0,2637.0,"Visualize and compare datasets, target values and associations, with one line of code.",9.0,29,True,2023-08-26 11:31:52.000,2.2.1,33.0,sweetviz,conda-forge/sweetviz,,,,1760.0,1748.0,https://pypi.org/project/sweetviz,2023-08-26 11:26:41.000,12.0,69850.0,70647.0,https://anaconda.org/conda-forge/sweetviz,2023-08-28 12:37:11.059,25534.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +340,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2023-10-16 15:20:58.000000,2023-10-12 07:35:49,2853.0,24.0,962.0,121.0,491.0,53.0,291.0,2488.0,IPython Parallel: Interactive Parallel Computing in Python.,112.0,29,False,2023-04-14 13:35:06.415,8.6.1,45.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],298.0,,https://pypi.org/project/ipyparallel,2023-04-14 13:35:06.415,298.0,286656.0,296852.0,https://anaconda.org/conda-forge/ipyparallel,2023-06-16 13:17:51.662,917683.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +341,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-10-19 13:40:10.000000,2023-10-17 07:25:40,497.0,48.0,451.0,30.0,610.0,59.0,526.0,2467.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",61.0,29,True,2023-08-29 07:29:32.000,0.7.0,27.0,anomalib,,,,,32.0,31.0,https://pypi.org/project/anomalib,2023-08-29 07:29:59.000,1.0,18956.0,19095.0,,,,,,,,2.0,3063.0,,,,,,,,,,,,,,,,,,, +342,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 12:09:24.000,2023-10-17 16:57:10.000000,2023-10-17 16:57:08,762.0,23.0,577.0,176.0,72.0,5.0,536.0,2395.0,Python sync/async framework for Interactive Brokers API.,36.0,29,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,23.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,23.0,31789.0,32505.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,36559.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +343,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2023-07-06 22:54:55.000000,2022-12-10 14:00:49,877.0,,356.0,85.0,166.0,219.0,146.0,2279.0,D3 Renderings of Matplotlib Graphics.,51.0,29,True,2022-12-10 14:03:04.289,0.5.9,18.0,mpld3,conda-forge/mpld3,,,,5543.0,5127.0,https://pypi.org/project/mpld3,2022-12-10 14:03:04.289,408.0,277679.0,280370.0,https://anaconda.org/conda-forge/mpld3,2023-06-16 13:17:04.944,188562.0,,,,,3.0,,,mpld3,https://www.npmjs.com/package/mpld3,596.0,,2022-12-10 14:00:31.699,8.0,,,,,,,,,,,, +344,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2023-10-17 09:01:17.000000,2023-10-17 09:01:17,644.0,15.0,229.0,47.0,623.0,131.0,223.0,2177.0,Algorithms for explaining machine learning models.,18.0,29,True,2023-07-07 14:10:27.000,0.9.4,31.0,alibi,,,,,545.0,520.0,https://pypi.org/project/alibi,2023-07-07 14:10:05.734,25.0,25966.0,25966.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +345,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,,2016-02-03 16:52:45.000,2023-09-22 23:38:28.000000,2023-04-03 00:19:55,1816.0,,255.0,92.0,124.0,33.0,230.0,2110.0,"NLP, before and after spaCy.",35.0,29,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1683.0,1568.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,115.0,65580.0,67344.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,135896.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +346,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2023-10-15 13:33:27.000000,2023-10-12 20:23:12,709.0,13.0,198.0,35.0,515.0,134.0,232.0,1953.0,"Algorithms for outlier, adversarial and drift detection.",19.0,29,True,2023-07-07 12:16:02.615,0.11.4,36.0,alibi-detect,,,,,378.0,372.0,https://pypi.org/project/alibi-detect,2022-06-01 16:23:29.000,6.0,23127.0,23127.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +347,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-10-19 13:27:33.000000,2023-10-13 04:04:45,1347.0,51.0,198.0,50.0,225.0,149.0,147.0,1924.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",39.0,29,True,2023-10-13 04:06:28.000,0.29.6,161.0,graphistry,,,,['jupyter'],106.0,101.0,https://pypi.org/project/graphistry,2023-10-13 04:06:28.000,5.0,2340.0,2340.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2023-10-15 23:16:55.733000,2023-09-04 14:53:24,500.0,4.0,393.0,85.0,96.0,80.0,251.0,1789.0,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,,,,1589.0,1562.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000,27.0,9041.0,9649.0,https://anaconda.org/conda-forge/bt,2023-10-15 23:16:55.733,18255.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +349,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2023-08-03 18:28:09.000000,2023-06-10 14:30:23,670.0,,400.0,41.0,58.0,19.0,267.0,1763.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,29,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1157.0,1135.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,24273.0,25044.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,28531.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +350,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-07-31 14:46:11.000000,2023-04-24 15:04:32,275.0,,355.0,53.0,77.0,82.0,99.0,1741.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,39.0,29,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],5554.0,5395.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000,159.0,256219.0,257388.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,74821.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-09-29 23:33:40.000000,2023-09-29 13:19:36,362.0,5.0,240.0,48.0,310.0,232.0,182.0,1657.0,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'],253.0,252.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,345536.0,345536.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2023-09-14 02:29:45.000000,2023-09-14 02:29:42,410.0,4.0,269.0,59.0,87.0,22.0,95.0,1604.0,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,,,,407.0,377.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000,30.0,157866.0,158054.0,https://anaconda.org/conda-forge/ffn,2023-06-15 20:53:40.904,5660.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +353,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-10-19 02:52:46.000000,2023-10-19 02:52:43,807.0,121.0,93.0,20.0,317.0,63.0,184.0,1447.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,41.0,29,True,2023-10-13 02:17:23.000,0.11.1,45.0,equinox,,,,['jax'],295.0,259.0,https://pypi.org/project/equinox,2023-10-13 02:17:23.000,36.0,21259.0,21259.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +354,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2023-10-10 16:21:26.000000,2023-10-10 16:21:26,1225.0,3.0,131.0,31.0,95.0,40.0,229.0,1417.0,Statistical package in Python based on Pandas.,43.0,29,False,2023-01-02 16:01:44.953,0.5.3,39.0,pingouin,conda-forge/pingouin,,,,1553.0,1499.0,https://pypi.org/project/pingouin,2023-01-02 16:01:44.953,54.0,80702.0,82556.0,https://anaconda.org/conda-forge/pingouin,2023-06-16 16:12:34.261,107568.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +355,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-10-11 14:27:26.000000,2023-10-10 19:45:54,1005.0,66.0,106.0,25.0,113.0,26.0,51.0,1188.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",22.0,29,True,2023-10-05 02:21:28.000,1.4.1,44.0,imodels,,,,,60.0,56.0,https://pypi.org/project/imodels,2023-10-05 02:20:48.000,4.0,129139.0,129139.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +356,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-10-11 22:37:43.000000,2023-10-11 22:37:41,386.0,15.0,177.0,24.0,30.0,3.0,129.0,1101.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,29,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],434.0,424.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,10.0,75090.0,75455.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,17170.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +357,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 22:43:36.000,2023-06-16 16:10:42.597000,2022-02-17 22:38:15,288.0,,454.0,44.0,176.0,93.0,102.0,1028.0,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1572.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,1572.0,5487138.0,5520155.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2113093.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +358,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-10-19 05:09:17.000000,2023-09-21 13:38:15,9998.0,17.0,218.0,34.0,1387.0,206.0,335.0,1001.0,Computations and statistics on manifolds with geometric structures.,83.0,29,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,86.0,83.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,1388.0,1499.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,1785.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +359,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 20:46:53.000,2023-10-18 00:11:41.000000,2023-10-17 18:00:14,1830.0,147.0,250.0,21.0,2103.0,81.0,224.0,995.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,39.0,29,True,2023-10-17 19:59:24.000,0.31.0,49.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",71.0,68.0,https://pypi.org/project/raiwidgets,2023-10-17 19:59:24.000,3.0,5401.0,5401.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +360,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-09-12 21:18:01.000000,2023-09-12 21:18:01,657.0,14.0,98.0,14.0,92.0,66.0,60.0,802.0,A Python nearest neighbor descent for approximate nearest neighbors.,26.0,29,True,2023-04-20 15:29:00.655,0.5.10,29.0,pynndescent,conda-forge/pynndescent,,,,4587.0,4528.0,https://pypi.org/project/pynndescent,2022-10-31 17:20:00.872,59.0,965171.0,997298.0,https://anaconda.org/conda-forge/pynndescent,2023-06-16 16:15:32.587,1670618.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +361,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 15:47:02.000,2023-10-18 20:18:09.000000,2023-10-18 20:18:07,929.0,15.0,151.0,48.0,81.0,37.0,142.0,734.0,Library for exploring and validating machine learning data.,25.0,29,True,2023-08-14 06:29:46.000,1.14.0,44.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",778.0,748.0,https://pypi.org/project/tensorflow-data-validation,2023-08-14 06:58:23.000,30.0,405778.0,405785.0,,,,,,,,3.0,470.0,,,,,,,,,,,,,,,,,,, +362,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-10-17 08:36:29.714000,2023-10-13 15:54:08,2934.0,80.0,101.0,15.0,230.0,11.0,116.0,699.0,Python bindings for MPI.,26.0,29,True,2023-10-04 09:04:51.000,3.1.5,27.0,mpi4py,conda-forge/mpi4py,,,,707.0,,https://pypi.org/project/mpi4py,2023-10-04 09:04:51.000,707.0,176748.0,237955.0,https://anaconda.org/conda-forge/mpi4py,2023-10-17 08:36:29.714,2187414.0,,,,,2.0,17411.0,,,,,,,,,,,,,,,,,,, +363,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic-legacy,https://github.com/numenta/nupic-legacy,AGPL-3.0,2013-04-05 23:14:27.000,2023-09-01 15:42:16.000000,2023-08-31 21:49:25,6626.0,1.0,1582.0,625.0,2111.0,464.0,1338.0,6328.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,57.0,19.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,38.0,1831.0,1831.0,,,,,,,,3.0,1.0,,,,,,,,numenta/nupic-legacy,,,,,,,,,,, +364,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-10-06 08:13:53.418000,2023-01-27 13:12:44,652.0,,970.0,145.0,93.0,73.0,304.0,5987.0,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,,,,69.0,19.0,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,50.0,137613.0,146346.0,https://anaconda.org/conda-forge/scikit-surprise,2023-10-06 08:13:53.418,340601.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +365,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,,1198.0,156.0,950.0,60.0,781.0,5642.0,Gluon CV Toolkit.,118.0,28,True,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],80.0,19.0,https://pypi.org/project/gluoncv,2022-07-07 09:00:54.000,61.0,49172.0,49172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +366,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2023-10-03 15:08:28.000000,2018-07-25 01:28:08,1796.0,,780.0,277.0,438.0,221.0,328.0,4800.0,"A probabilistic programming language in TensorFlow. Deep generative models, variational inference.",87.0,28,False,2018-01-22 06:03:37.000,1.3.5,28.0,edward,,,,['tensorflow'],340.0,300.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,40.0,279.0,279.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +367,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-10-18 15:02:45.000000,2023-10-05 16:17:35,6152.0,32.0,507.0,153.0,1898.0,293.0,1322.0,4241.0,ArrayFire: a general purpose GPU library.,88.0,28,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,7.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,7.0,945.0,991.0,,,,,,,,2.0,4607.0,,,,,,,,,,,,,,,,,,, +368,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2023-07-17 02:18:14.000000,2022-12-25 20:03:53,522.0,,698.0,176.0,79.0,8.0,269.0,4033.0,A python wrapper for Alpha Vantage API for financial data.,42.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,435.0,406.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,29.0,24682.0,24850.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,5559.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +369,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2023-08-21 13:36:56.000000,2021-05-10 18:34:53,57.0,,404.0,39.0,55.0,118.0,43.0,3871.0,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,28,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],11188.0,11082.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,106.0,128408.0,128408.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +370,Lasagne,Lasagne/Lasagne,ml-frameworks,,https://github.com/Lasagne/Lasagne,https://github.com/Lasagne/Lasagne,MIT,2014-09-11 15:31:41.000,2022-03-26 02:58:32.000000,2019-11-20 20:28:30,1161.0,,971.0,219.0,408.0,140.0,402.0,3848.0,Lightweight library to build and train neural networks in Theano.,72.0,28,False,2015-08-13 21:00:09.000,0.1,2.0,lasagne,,,,,1272.0,1012.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,260.0,1720.0,1720.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +371,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-06-16 13:24:02.087000,2023-02-26 20:07:33,189.0,,444.0,72.0,37.0,9.0,121.0,3668.0,Missing data visualization module for Python.,18.0,28,True,2023-02-26 20:11:48.000,0.5.2,6.0,missingno,conda-forge/missingno,,,,13265.0,13265.0,https://pypi.org/project/missingno,,,385669.0,389777.0,https://anaconda.org/conda-forge/missingno,2023-06-16 13:24:02.087,308155.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +372,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-10-14 16:51:24.000000,2023-08-11 07:20:07,437.0,4.0,521.0,115.0,83.0,18.0,98.0,3266.0,Module for automatic summarization of text documents and HTML pages.,28.0,28,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2325.0,2215.0,https://pypi.org/project/sumy,2022-04-21 21:59:46.000,110.0,26614.0,26858.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,6854.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +373,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-10-18 01:16:43.000000,2023-09-22 20:27:40,1342.0,166.0,336.0,72.0,1226.0,83.0,76.0,3223.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,34.0,28,True,2023-09-22 20:32:27.000,1.0.1,10.0,lit-nlp,conda-forge/lit-nlp,,,,25.0,24.0,https://pypi.org/project/lit-nlp,2023-09-22 19:33:00.000,1.0,3226.0,4980.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,64927.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +374,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-10-17 17:36:52.000000,2023-10-17 17:36:09,1191.0,12.0,396.0,82.0,52.0,56.0,201.0,3208.0,A library of reinforcement learning components and agents.,84.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],173.0,170.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1103.0,1322.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,7670.0,,,,,2.0,,,,,,,,,google-deepmind/acme,,,,,,,,,,, +375,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,,2021-10-11 14:48:38.000,2023-10-17 11:28:04.000000,2023-10-17 11:28:03,1465.0,24.0,221.0,16.0,1668.0,242.0,720.0,3072.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,50.0,28,False,2023-10-11 15:32:25.000,0.17.5,58.0,deepchecks,,,,,281.0,281.0,https://pypi.org/project/deepchecks,,,44333.0,44364.0,,,,,,,,2.0,762.0,,,,,,,,,,,,,,,,,,, +376,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2023-09-25 11:28:13.000000,2022-01-25 17:32:20,4123.0,,357.0,80.0,62.0,151.0,186.0,3036.0,a library for audio and music analysis.,24.0,28,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,429.0,402.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,27.0,3677.0,11662.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,630843.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +377,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-09-14 20:07:18.000000,2021-10-29 06:15:49,2535.0,,407.0,65.0,932.0,290.0,745.0,2785.0,StellarGraph - Machine Learning on Graphs.,36.0,28,False,2020-06-30 05:15:21.000,1.2.1,25.0,stellargraph,,,,['tensorflow'],236.0,236.0,https://pypi.org/project/stellargraph,,,5474.0,5474.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +378,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-09-26 21:01:12.000000,2023-09-26 21:01:10,548.0,8.0,468.0,97.0,43.0,82.0,240.0,2673.0,Learning to Rank in TensorFlow.,33.0,28,True,2023-08-11 17:56:48.000,0.5.3,22.0,tensorflow_ranking,,,,['tensorflow'],13.0,,https://pypi.org/project/tensorflow_ranking,2023-08-11 17:56:48.000,13.0,102689.0,102689.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +379,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2023-10-12 19:17:55.000000,2023-09-20 12:36:49,1468.0,37.0,292.0,41.0,306.0,33.0,142.0,2471.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,35.0,28,True,2023-09-20 13:10:11.000,2.3.7,35.0,shapash,,,,['jupyter'],129.0,127.0,https://pypi.org/project/shapash,2023-09-20 13:10:11.000,2.0,8033.0,8033.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +380,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-10-11 12:01:23.000000,2023-10-11 12:01:14,1463.0,81.0,562.0,42.0,27.0,4.0,318.0,2391.0,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,28.0,28,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],19.0,19.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,460.0,460.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-09-13 13:50:05.000000,2018-08-19 12:37:47,130.0,,282.0,66.0,59.0,26.0,39.0,2357.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],4030.0,3957.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,73.0,417309.0,419505.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,164765.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +382,langid,saffsd/langid.py,nlp,,https://github.com/saffsd/langid.py,https://github.com/saffsd/langid.py,BSD-3-Clause,2011-04-29 00:16:56.000,2020-01-01 10:49:30.000000,2017-07-15 02:49:17,242.0,,304.0,66.0,14.0,28.0,46.0,2156.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,7954.0,7763.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,191.0,350670.0,350670.0,,,,,,,,2.0,,,,,,4.0,,,,,,,,,,,,,, +383,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-09-23 18:51:05.000000,2023-08-22 16:20:29,468.0,16.0,312.0,62.0,148.0,7.0,91.0,2051.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,28,True,2023-08-07 19:46:52.000,3.2.5,21.0,pytextrank,,,,,479.0,479.0,https://pypi.org/project/pytextrank,,,58174.0,58174.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +384,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-09-11 22:28:27.000000,2023-06-20 13:16:50,391.0,,154.0,25.0,81.0,41.0,34.0,1588.0,A Python package for time series classification.,14.0,28,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,494.0,475.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,128557.0,129443.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,21283.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +385,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-10-19 11:34:48.000000,2023-10-18 17:58:48,1332.0,130.0,282.0,29.0,1338.0,130.0,95.0,1549.0,Pytorch domain library for recommendation systems.,178.0,28,True,2023-10-05 17:21:59.000,0.5.0,77.0,torchrec-nightly-cpu,,,,,68.0,68.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,71.0,71.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +386,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-09-26 07:49:38.000000,2023-09-26 07:34:28,1378.0,16.0,309.0,28.0,375.0,89.0,120.0,1542.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,28,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],47.0,45.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,2.0,1575.0,1575.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +387,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2023-10-10 05:06:29.000000,2023-09-06 00:50:44,697.0,3.0,294.0,43.0,349.0,71.0,187.0,1498.0,Training PyTorch models with differential privacy.,73.0,28,True,2023-03-24 16:01:05.890,1.4.0,20.0,opacus,conda-forge/opacus,,,['pytorch'],686.0,669.0,https://pypi.org/project/opacus,2022-05-06 09:43:18.000,17.0,29007.0,29576.0,https://anaconda.org/conda-forge/opacus,2023-06-18 08:40:32.992,11918.0,,,,,2.0,99.0,,,,,,,,,,,,,,,,,,, +388,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2023-10-18 09:35:22.000000,2023-07-04 11:04:34,170.0,,179.0,30.0,18.0,3.0,76.0,1463.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,28,True,2023-07-04 11:06:01.504,0.1.730,74.0,autoviz,conda-forge/autoviz,,,,568.0,561.0,https://pypi.org/project/autoviz,2022-10-03 01:43:19.267,7.0,291178.0,292822.0,https://anaconda.org/conda-forge/autoviz,2023-07-21 21:17:07.584,42752.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +389,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2023-10-10 21:15:24.000000,2023-10-10 21:15:24,946.0,6.0,567.0,106.0,280.0,11.0,300.0,1448.0,Execute Python code on the fly and display results in Tableau visualizations:.,49.0,28,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,145.0,143.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,13968.0,14024.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4405.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +390,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 08:29:47.000,2023-10-09 07:21:10.000000,2023-09-29 00:13:39,295.0,9.0,257.0,50.0,184.0,54.0,120.0,1348.0,Metric learning algorithms in Python.,22.0,28,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],316.0,304.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,12.0,8662.0,8932.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,10567.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +391,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-10-05 01:24:33.000000,2023-10-05 01:24:32,851.0,12.0,260.0,73.0,481.0,38.0,198.0,1247.0,Underthesea - Vietnamese NLP Toolkit.,18.0,28,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,843.0,817.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,26.0,9240.0,9307.0,,,,,,,,2.0,5164.0,,,,,,,,,,,,,,,,,,, +392,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2023-06-16 19:18:39.600000,2023-04-20 04:36:19,526.0,,400.0,51.0,37.0,17.0,138.0,1183.0,"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,,,,2306.0,2273.0,https://pypi.org/project/kmodes,2022-04-14 21:22:39.000,33.0,153815.0,154697.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,37051.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +393,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-10-03 14:28:55.000000,2023-06-06 09:46:40,415.0,,322.0,40.0,298.0,22.0,200.0,1151.0,A research toolkit for particle swarm optimization in Python.,45.0,28,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,320.0,306.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,14.0,9711.0,9711.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +394,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2023-10-09 02:38:39.000000,2020-10-14 13:22:39,167.0,,336.0,71.0,84.0,27.0,26.0,1133.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,28,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1369.0,1225.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,144.0,20481.0,20847.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,24954.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +395,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2023-06-16 16:20:28.705000,2021-02-12 19:04:59,2079.0,,243.0,40.0,36.0,66.0,590.0,1107.0,"pyclustering is a Python, C++ data mining library.",26.0,28,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,589.0,555.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,34.0,76492.0,77743.0,https://anaconda.org/conda-forge/pyclustering,2023-06-16 16:20:28.705,57341.0,,,,,3.0,475.0,,,,,,,,,,,,,,,,,,, +396,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 22:15:53.000,2023-10-17 08:02:58.748000,2023-10-13 15:13:59,1010.0,44.0,203.0,24.0,119.0,24.0,182.0,991.0,Survival analysis built on top of scikit-learn.,18.0,28,False,2023-10-08 13:11:29.000,0.22.1,27.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],364.0,353.0,https://pypi.org/project/scikit-survival,2023-10-08 13:11:29.000,11.0,41666.0,44360.0,https://anaconda.org/conda-forge/scikit-survival,2023-10-17 08:02:58.748,61980.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +397,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-10-06 08:58:18.000000,2023-10-05 12:53:35,137.0,10.0,105.0,22.0,101.0,35.0,72.0,968.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,28,True,2023-10-05 12:58:13.000,1.5.0,22.0,submitit,conda-forge/submitit,,,,1691.0,1676.0,https://pypi.org/project/submitit,2023-10-05 12:58:13.000,15.0,153094.0,153933.0,https://anaconda.org/conda-forge/submitit,2023-10-05 15:20:30.342,31908.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +398,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 13:05:44.000,2023-08-25 16:48:20.000000,2023-04-19 21:43:19,547.0,,166.0,35.0,85.0,88.0,122.0,871.0,A scikit-learn based module for multi-label et. al. classification.,28.0,28,True,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],1321.0,1297.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,24.0,79377.0,79377.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +399,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 15:56:06.000,2023-06-27 23:50:02.000000,2023-03-24 22:04:13,811.0,,241.0,41.0,502.0,266.0,252.0,869.0,Scalable Machine Learning with Dask.,77.0,28,True,2023-03-24 22:06:04.422,2023.3.24,35.0,dask-ml,conda-forge/dask-ml,,,,951.0,879.0,https://pypi.org/project/dask-ml,2020-05-06 15:02:41.000,72.0,325596.0,336355.0,https://anaconda.org/conda-forge/dask-ml,2023-06-16 13:24:06.152,774654.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +400,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2023-10-06 09:43:40.000000,2023-10-06 09:43:40,488.0,3.0,116.0,31.0,126.0,24.0,73.0,841.0,Python bindings and utilities for GeoJSON.,54.0,28,True,,,10.0,geojson,conda-forge/geojson,,,,15569.0,15569.0,https://pypi.org/project/geojson,,,1256646.0,1264978.0,https://anaconda.org/conda-forge/geojson,2023-06-16 13:15:38.240,758265.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +401,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-10-12 12:17:12.000000,2023-09-26 15:27:01,15612.0,38.0,359.0,43.0,1604.0,278.0,2949.0,807.0,An open-source application for biological image analysis.,138.0,28,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,21.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,1.0,592.0,643.0,,,,,,,,3.0,5971.0,,,,,,,,,,,,,,,,,,, +402,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2023-10-19 06:07:44.000000,2023-10-19 06:07:44,1274.0,13.0,122.0,27.0,408.0,7.0,120.0,754.0,A Comparative Framework for Multimodal Recommender Systems.,17.0,28,True,2023-07-22 18:22:54.000,1.16.0,52.0,cornac,conda-forge/cornac,,,,191.0,175.0,https://pypi.org/project/cornac,2023-07-22 18:42:55.000,16.0,106549.0,114622.0,https://anaconda.org/conda-forge/cornac,2023-07-25 03:34:46.928,322932.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +403,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2023-10-15 19:09:05.000000,2023-10-15 19:09:05,2446.0,243.0,87.0,11.0,469.0,15.0,82.0,684.0,Time series forecasting with scikit-learn models.,8.0,28,True,2023-09-27 09:35:25.000,0.10.1,24.0,skforecast,,,,['sklearn'],198.0,192.0,https://pypi.org/project/skforecast,2023-09-26 12:13:41.000,6.0,34998.0,34998.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +404,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 21:02:09.000,2023-10-19 13:12:42.000000,2023-10-18 23:29:29,822.0,45.0,123.0,30.0,83.0,27.0,75.0,562.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,28,True,2023-08-10 00:37:12.000,1.14.0,42.0,ml-metadata,,,,,380.0,358.0,https://pypi.org/project/ml-metadata,2023-08-10 00:37:12.000,22.0,106391.0,106429.0,,,,,,,,3.0,2118.0,,,,,,,,,,,,,,,,,,, +405,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2023-10-15 23:30:30.000000,2023-10-06 15:47:51,6642.0,195.0,133.0,36.0,383.0,45.0,123.0,354.0,Neuroimaging in Python FMRI analysis package.,67.0,28,True,2021-03-29 16:34:34.000,0.5.0,7.0,nipy,conda-forge/nipy,,,,260.0,210.0,https://pypi.org/project/nipy,2021-03-29 16:34:34.000,50.0,2139.0,3547.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,105608.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +406,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-08-31 08:45:10.000000,2020-01-31 13:06:18,347.0,,3805.0,654.0,371.0,409.0,435.0,14870.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,27,False,,,,baselines,,,,,528.0,528.0,https://pypi.org/project/baselines,,,1039.0,1039.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +407,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-10-19 15:31:44.000000,2023-10-18 06:29:12,1913.0,285.0,741.0,96.0,1973.0,138.0,621.0,13319.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",70.0,27,True,2023-10-11 18:42:02.000,1.6.1,57.0,,,,,,,,,,,,55.0,,,,,,,,3.0,1651.0,,,,,,,,,,,,,,,,,,, +408,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-06-29 16:28:26.000000,2023-06-29 16:28:24,325.0,,1387.0,439.0,46.0,98.0,87.0,10228.0,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'],55.0,19.0,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,36.0,35608.0,35608.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +409,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2023-07-09 00:54:49.000000,2023-04-19 16:47:52,581.0,,1153.0,351.0,79.0,47.0,231.0,7818.0,StarCraft II Learning Environment.,39.0,27,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,635.0,609.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,1643.0,2057.0,,,,,,,,3.0,30689.0,,,,,,,,google-deepmind/pysc2,,,,,,,,,,, +410,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,,1500.0,131.0,51.0,155.0,141.0,7551.0,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,27,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],44.0,1.0,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,43.0,144263.0,223749.0,,,,,,,,2.0,3417937.0,,,,,,,,,,,,,,,,,,, +411,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,,1642.0,462.0,698.0,32.0,441.0,7240.0,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 02:05:47.000,40.0,1462.0,1481.0,,,,,,,,2.0,1619.0,,,,,,,,,,,,,,,,,,, +412,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-09-21 06:50:45.000000,2020-05-03 07:13:22,108.0,,609.0,140.0,31.0,66.0,53.0,5463.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,27,False,,,18.0,flashtext,conda-forge/flashtext,,,,1398.0,1352.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,46.0,1000925.0,1001383.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,17875.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +413,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-10-16 20:29:38.000000,2023-03-29 07:02:37,553.0,,867.0,123.0,63.0,136.0,74.0,4958.0,Image augmentation library in Python for machine learning.,23.0,27,True,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,684.0,655.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,29.0,10742.0,10742.0,,,,,,,,3.0,,,,,,3.0,,,,,,,,,,,,,, +414,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2023-06-16 19:25:16.902000,2022-04-01 13:57:36,131.0,,951.0,144.0,30.0,46.0,77.0,4097.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,7556.0,7367.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,189.0,181685.0,182111.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,13206.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +415,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 20:22:54.000,2023-09-19 00:32:03.000000,2022-08-06 21:47:18,182.0,,398.0,65.0,56.0,86.0,55.0,4011.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,27,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,610.0,606.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,4.0,107076.0,107076.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +416,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-07-10 10:34:11.000000,2023-04-27 20:08:56,632.0,,964.0,282.0,227.0,12.0,355.0,3857.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,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 20:05:56.000,5.0,453873.0,454311.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,20168.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +417,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-10-18 04:05:31.000000,2023-09-01 03:04:11,1137.0,2.0,685.0,60.0,1009.0,145.0,734.0,3747.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",85.0,27,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],90.0,88.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,2.0,5248.0,5248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +418,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-08-14 20:14:15.000000,2023-08-14 20:14:08,2108.0,6.0,538.0,146.0,237.0,34.0,631.0,3250.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,84.0,27,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],431.0,429.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,2.0,572.0,572.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +419,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-10-18 19:16:58.000000,2023-08-26 22:58:04,470.0,1.0,456.0,36.0,491.0,6.0,,3112.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,31.0,27,True,2023-05-15 21:12:01.327,0.11.14,100.0,sahi,conda-forge/sahi,,,,691.0,682.0,https://pypi.org/project/sahi,2022-06-25 20:18:21.000,9.0,118250.0,120907.0,https://anaconda.org/conda-forge/sahi,2023-06-16 19:27:36.658,49648.0,,,,,3.0,18851.0,,,,,,,,,,,,,,,,,,, +420,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-06-05 03:00:37.000000,2022-12-13 03:52:09,2484.0,,455.0,84.0,245.0,61.0,154.0,2991.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,True,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,163.0,161.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,20920.0,20921.0,,,,,,,,3.0,74.0,,,,,,,,,,,,,,,,,,, +421,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,,644.0,112.0,73.0,88.0,123.0,2902.0,Productivity Tools for Plotly + Pandas.,39.0,27,False,,,,cufflinks,,,,['pandas'],9254.0,9254.0,https://pypi.org/project/cufflinks,,,79597.0,79597.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +422,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2023-06-16 16:15:26.623000,2023-05-16 07:26:21,1020.0,,409.0,129.0,129.0,189.0,245.0,2567.0,PYthon svg GrAph plotting Library.,73.0,27,False,2021-11-24 21:09:00.501,3.0.0,76.0,pygal,conda-forge/pygal,,,,635.0,,https://pypi.org/project/pygal,2021-11-24 21:09:00.501,635.0,148902.0,149562.0,https://anaconda.org/conda-forge/pygal,2023-06-16 16:15:26.623,34365.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +423,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2023-06-16 19:20:41.396000,2022-05-25 09:55:55,1696.0,,413.0,44.0,347.0,32.0,344.0,2553.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",32.0,27,False,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,537.0,523.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,14.0,1615.0,1925.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,12095.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +424,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-06-01 22:20:25.000000,2023-06-01 22:10:29,1131.0,,335.0,44.0,57.0,64.0,200.0,2297.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,27,True,2023-06-01 22:20:25.000,1.3,34.0,spektral,,,,['tensorflow'],240.0,234.0,https://pypi.org/project/spektral,2023-06-01 22:17:00.684,6.0,4478.0,4478.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +425,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-02-24 18:44:15.000000,2020-09-22 22:35:28,271.0,,327.0,79.0,54.0,161.0,68.0,2201.0,Multilingual text (NLP) processing toolkit.,26.0,27,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1189.0,1097.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000,92.0,61244.0,61244.0,,,,,,,,3.0,,,,,,3.0,,,,,,,,,,,,,, +426,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,,317.0,66.0,38.0,96.0,160.0,2165.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],350.0,326.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,10870.0,10870.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +427,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 16:48:48.000,2023-09-30 17:24:12.000000,2023-09-30 17:24:05,635.0,29.0,234.0,67.0,31.0,60.0,90.0,2112.0,Fast and Easy Infinite Neural Networks in Python.,27.0,27,True,2023-08-25 00:01:21.000,0.6.4,30.0,neural-tangents,,,,,83.0,82.0,https://pypi.org/project/neural-tangents,2023-08-24 23:48:46.000,1.0,2056.0,2064.0,,,,,,,,3.0,330.0,,,,,,,,,,,,,,,,,,, +428,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2023-09-09 21:39:29.000000,2021-07-09 11:06:18,56.0,,484.0,40.0,24.0,66.0,38.0,2050.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,27,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],4171.0,4120.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,44211.0,44449.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,10488.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +429,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,,2021-04-26 00:15:19.000,2023-10-13 17:15:04.000000,2023-10-13 17:10:55,1060.0,34.0,195.0,27.0,383.0,86.0,271.0,1841.0,Scalable and user friendly neural forecasting algorithms.,30.0,27,False,2023-10-05 19:39:43.000,1.6.4,15.0,neuralforecast,conda-forge/neuralforecast,,,,51.0,51.0,https://pypi.org/project/neuralforecast,,,9976.0,10550.0,https://anaconda.org/conda-forge/neuralforecast,2023-10-06 19:47:12.240,10918.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +430,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-10-11 15:51:39.000000,2023-10-11 01:43:52,846.0,32.0,432.0,62.0,308.0,113.0,91.0,1816.0,Library for training machine learning models with privacy for training data.,55.0,27,True,2023-10-11 15:51:39.000,0.8.12,30.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,2023-10-11 15:51:39.000,14.0,17037.0,17039.0,,,,,,,,2.0,121.0,,,,,,,,,,,,,,,,,,, +431,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-08-12 04:20:17.000000,2022-08-31 09:45:24,594.0,,234.0,55.0,444.0,3.0,402.0,1692.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,27,False,2021-06-10 09:45:12.000,0.8.0,22.0,farm,conda-forge/farm,,,['pytorch'],208.0,208.0,https://pypi.org/project/farm,,,3145.0,3245.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3029.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +432,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,,318.0,74.0,742.0,54.0,168.0,1476.0,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:40.000,0.13.1,25.0,chainercv,,,,,400.0,370.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,30.0,1737.0,1737.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +433,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-10-06 01:33:53.000000,2023-05-16 13:01:43,657.0,,245.0,49.0,311.0,95.0,16.0,1472.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,27,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],891.0,858.0,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,33.0,22694.0,22694.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +434,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2023-09-20 03:33:51.000000,2023-08-22 14:21:42,580.0,44.0,302.0,52.0,115.0,54.0,29.0,1414.0,Interpretability and explainability of data and machine learning models.,41.0,27,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,85.0,84.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,756.0,756.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +435,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2023-10-16 07:24:32.000000,2023-06-07 07:35:59,3033.0,,118.0,37.0,326.0,11.0,187.0,1398.0,Multi-class confusion matrix library in Python.,17.0,27,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,260.0,244.0,https://pypi.org/project/pycm,2022-04-27 15:18:44.000,16.0,35497.0,35497.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +436,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-10-19 00:00:30.000000,2023-10-18 13:36:31,6143.0,143.0,253.0,47.0,2385.0,307.0,1315.0,1394.0,cuGraph - RAPIDS Graph Analytics Library.,104.0,27,True,2023-10-11 18:08:26.000,23.10.00,32.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,2.0,139.0,705.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,16997.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +437,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-10-11 02:15:19.000000,2023-10-11 02:15:18,1365.0,17.0,247.0,74.0,103.0,20.0,53.0,1214.0,Model analysis tools for TensorFlow.,56.0,27,True,2023-08-14 20:20:00.000,0.45.0,56.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/tensorflow-model-analysis,,,313388.0,313388.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +438,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-10-03 17:03:46.000000,2023-09-10 06:51:22,1752.0,6.0,182.0,42.0,255.0,59.0,211.0,1157.0,Python audio and music signal processing library.,20.0,27,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,401.0,368.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,33.0,2889.0,2889.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +439,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2023-10-19 11:15:21.000000,2023-10-17 19:14:44,470.0,16.0,103.0,22.0,307.0,29.0,250.0,1065.0,Extra blocks for scikit-learn pipelines.,61.0,27,True,2023-10-17 19:17:47.000,0.6.16,34.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],117.0,117.0,https://pypi.org/project/scikit-lego,,,35602.0,36667.0,https://anaconda.org/conda-forge/scikit-lego,2023-07-19 07:17:55.286,43665.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +440,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-10-18 16:25:50.000000,2023-10-11 14:04:33,777.0,20.0,107.0,32.0,380.0,67.0,292.0,942.0,BAyesian Model-Building Interface (Bambi) in Python.,35.0,27,True,2023-07-02 15:44:00.377,0.12.0,27.0,bambi,conda-forge/bambi,,,,98.0,89.0,https://pypi.org/project/bambi,2023-07-02 15:44:00.377,9.0,18547.0,19330.0,https://anaconda.org/conda-forge/bambi,2023-07-02 20:28:20.184,26623.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +441,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-10-09 20:45:50.000000,2023-03-10 19:47:48,1140.0,,236.0,63.0,244.0,22.0,340.0,922.0,Search and download Copernicus Sentinel satellite images.,43.0,27,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,537.0,498.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,39.0,15485.0,16220.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,26360.0,,,,,3.0,261.0,,,,,,,,,,,,,,,,,,, +442,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-06-16 13:16:30.947000,2023-02-20 00:24:10,1723.0,,185.0,39.0,173.0,61.0,174.0,899.0,A Jupyter - Three.js bridge.,30.0,27,True,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],94.0,27.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,56.0,62012.0,71454.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,511419.0,,,,,3.0,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,3696.0,,2023-02-20 00:16:17.277,11.0,,,,,,,,,,,, +443,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2023-10-18 14:58:38.000000,2023-10-17 07:19:40,1313.0,541.0,40.0,13.0,240.0,20.0,42.0,825.0,"Fastest Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",23.0,27,True,2023-10-17 07:20:37.457,2.7.2,83.0,usearch,,unum/usearch,,,24.0,21.0,https://pypi.org/project/usearch,2023-10-17 05:09:35.000,1.0,35522.0,40263.0,,,,https://hub.docker.com/r/unum/usearch,2023-10-17 07:20:45.302611,1.0,41.0,3.0,306.0,,usearch,https://www.npmjs.com/package/usearch,4675.0,,2023-10-17 07:20:37.457,2.0,,,,,,,,,,,, +444,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2023-07-26 22:41:29.989000,2023-06-09 22:11:37,1299.0,,149.0,49.0,56.0,21.0,65.0,813.0,Computer Vision in Python.,34.0,27,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1257.0,1130.0,https://pypi.org/project/mahotas,2022-06-28 08:11:26.000,127.0,8317.0,17981.0,https://anaconda.org/conda-forge/mahotas,2023-07-26 22:41:29.989,386560.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +445,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2023-10-13 07:25:01.000000,2023-10-13 07:25:01,516.0,13.0,150.0,31.0,168.0,8.0,97.0,529.0,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,28.0,27,True,2023-06-20 08:57:52.000,0.5,11.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],298.0,281.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,17.0,26125.0,26396.0,https://anaconda.org/conda-forge/pyriemann,2023-06-20 10:39:38.006,4347.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +446,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2023-10-19 05:44:09.000000,2023-10-12 01:08:21,181.0,41.0,73.0,21.0,67.0,35.0,50.0,520.0,pyspark methods to enhance developer productivity.,23.0,27,True,2023-02-17 21:55:30.000,0.10.0,13.0,quinn,,,,['spark'],77.0,71.0,https://pypi.org/project/quinn,2023-02-17 21:54:00.812,6.0,885554.0,885554.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,, +447,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-10-18 09:46:25.000000,2023-10-13 13:35:38,779.0,9.0,71.0,27.0,348.0,110.0,221.0,516.0,"Simple, concise geographical visualization in Python.",29.0,27,True,2023-07-20 16:57:49.000,1.10.1,51.0,geoviews,conda-forge/geoviews,,,,815.0,780.0,https://pypi.org/project/geoviews,2023-07-20 15:18:17.000,35.0,7432.0,12798.0,https://anaconda.org/conda-forge/geoviews,2023-07-21 08:46:51.180,198576.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +448,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2023-10-14 18:53:31.974373,2023-10-12 07:20:40,1894.0,1.0,852.0,216.0,453.0,57.0,264.0,14176.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,26,True,2021-06-06 17:15:00.281,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:15:00.281,,45001.0,45406.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,14.0,20701.0,3.0,,,,,,,,,,,,,,,,,,,, +449,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-08-29 14:30:03.000000,2023-03-29 01:15:47,1614.0,,808.0,146.0,1556.0,114.0,125.0,7749.0,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,,,,,122.0,121.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,4517.0,4517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +450,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-10-04 22:41:52.749000,,,,700.0,,,511.0,,7112.0,NumPy & SciPy for GPU.,257.0,26,True,2023-08-08 06:14:47.000,12.2.0,136.0,cupy,conda-forge/cupy,cupy/cupy,,,201.0,,https://pypi.org/project/cupy,2023-08-08 06:14:47.000,201.0,18916.0,96075.0,https://anaconda.org/conda-forge/cupy,2023-10-04 22:41:52.749,3134966.0,https://hub.docker.com/r/cupy/cupy,2023-08-15 12:32:31.435488,11.0,57887.0,3.0,,,,,,,,,,,,,,,,,,,, +451,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,,1341.0,348.0,14.0,41.0,65.0,6184.0,Python library for processing Chinese text.,8.0,26,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1260.0,1218.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,42.0,6108.0,6108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +452,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2023-10-03 15:31:03.000000,2022-09-22 23:59:07,1084.0,,979.0,185.0,327.0,334.0,292.0,5750.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,26,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,115.0,112.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,343.0,395.0,,,,,,,,2.0,3706.0,,,,,,,,,,,,,,,,,,, +453,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-10-19 10:19:37.000000,2023-09-20 10:18:52,11547.0,43.0,1521.0,142.0,3373.0,791.0,1017.0,5242.0,An Industrial Grade Federated Learning Framework.,92.0,26,True,2023-09-12 07:58:53.000,1.11.3,46.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +454,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-07-29 21:28:21.000000,2023-07-05 18:14:28,901.0,,548.0,105.0,617.0,89.0,606.0,4101.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,26,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],81.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,81.0,389045.0,390904.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,70648.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +455,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2023-09-20 14:45:40.000000,2023-09-20 14:45:40,248.0,1.0,799.0,51.0,48.0,61.0,106.0,3787.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,16.0,26,True,2023-04-07 19:27:35.000,2.5.3,32.0,facenet-pytorch,,,,['pytorch'],1346.0,1327.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,19.0,27137.0,41853.0,,,,,,,,3.0,691691.0,,,,,,,,,,,,,,,,,,, +456,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-10-13 15:39:37.000000,2023-10-13 15:09:00,448.0,4.0,263.0,46.0,438.0,57.0,245.0,3228.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,39.0,26,True,2023-07-12 16:55:59.000,0.4.9,22.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,3.0,,https://pypi.org/project/hummingbird-ml,2020-06-10 22:08:15.000,3.0,12509.0,13672.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-07-12 18:59:37.482,35826.0,,,,,2.0,348.0,,,,,,,,,,,,,,,,,,, +457,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2023-08-28 05:14:10.000000,2022-06-05 10:44:18,1342.0,,528.0,110.0,73.0,193.0,115.0,3070.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,26,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,135.0,123.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,3482.0,3545.0,,,,,,,,3.0,4247.0,,,,,,,,,,,,,,,,,,, +458,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-10-13 04:37:58.000000,2023-09-20 16:12:35,178.0,3.0,363.0,164.0,82.0,87.0,99.0,3023.0,A deep learning library for video understanding research.,55.0,26,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 00:16:35.000,7.0,84221.0,84221.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +459,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-06-16 13:22:38.816000,2020-12-08 16:56:38,17588.0,,1050.0,218.0,3648.0,429.0,1110.0,2975.0,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,,,,,,,,,1719.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,128182.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1502.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +460,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-10-14 01:03:29.000000,2023-10-14 01:03:28,4288.0,64.0,537.0,41.0,981.0,155.0,650.0,2872.0,"A unified, comprehensive and efficient recommendation library.",69.0,26,True,2022-10-05 02:45:00.000,1.1.1,9.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2022-02-25 07:32:53.000,2.0,2939.0,3054.0,https://anaconda.org/aibox/recbole,2023-06-16 19:23:31.659,4049.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +461,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2023-06-16 16:09:06.563000,2020-04-27 18:40:41,522.0,,1007.0,169.0,214.0,42.0,146.0,2845.0,Performance analysis of predictive (alpha) stock factors.,25.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,672.0,654.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,18.0,2184.0,2473.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,19700.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +462,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-09-15 03:03:36.000000,2023-09-15 02:31:18,1566.0,14.0,236.0,47.0,2006.0,11.0,636.0,2753.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,33.0,26,True,2023-09-15 03:06:04.000,1.1.2,25.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-09-14 07:31:36.000,,7077.0,7193.0,,,,,,,,3.0,2567.0,,,,,,,,,,,,,,,,,,, +463,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2023-06-16 13:18:29.838000,2020-01-22 07:39:36,1198.0,,329.0,67.0,167.0,164.0,112.0,2687.0,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,,,,90.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,90.0,430961.0,432832.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,144088.0,,,,,2.0,,,,,,4.0,,,,,,,,,,,,,, +464,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-10-16 15:59:30.000000,2023-10-16 15:59:02,3418.0,3.0,504.0,109.0,333.0,385.0,649.0,2529.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",79.0,26,False,2015-03-31 16:33:30.000,2.0,19.0,essentia,,,,,532.0,516.0,https://pypi.org/project/essentia,2023-01-11 14:10:02.525,16.0,3999.0,3999.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +465,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-10-19 04:21:00.000000,2023-07-23 14:42:27,191.0,2.0,440.0,36.0,237.0,52.0,261.0,2301.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,26,True,2023-07-23 13:34:05.000,4.1.0,19.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],11.0,,https://pypi.org/project/pytorch-tabnet,2023-07-23 13:26:57.000,11.0,33304.0,33559.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-06-16 19:28:15.390,5631.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +466,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2023-10-16 09:18:34.000000,2023-10-11 19:24:30,416.0,5.0,757.0,90.0,263.0,165.0,92.0,2170.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",69.0,26,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,322.0,310.0,https://pypi.org/project/aif360,2021-03-04 18:11:34.000,12.0,6248.0,6439.0,https://anaconda.org/conda-forge/aif360,2023-10-14 06:57:34.052,7088.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +467,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-10-19 02:16:09.000000,2023-06-01 12:18:23,739.0,,343.0,42.0,42.0,95.0,56.0,2031.0,A modular active learning framework for Python.,20.0,26,True,2023-10-19 02:16:09.000,0.55.3854,321.0,modAL,,,,['sklearn'],19.0,16.0,https://pypi.org/project/modAL,2023-10-19 02:16:09.000,3.0,118993.0,118993.0,,,,,,,,3.0,29.0,,,,,,,,,,,,,,,,,,, +468,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2023-09-27 23:50:48.000000,2023-07-11 07:11:36,210.0,,226.0,45.0,84.0,17.0,115.0,2006.0,A Python library that helps data scientists to infer causation rather than observing correlation.,35.0,26,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",101.0,98.0,https://pypi.org/project/causalnex,2021-11-11 15:15:32.000,3.0,4850.0,4850.0,,,,,,,,2.0,,,,,,,,,mckinsey/causalnex,,,,,,,,,,, +469,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2023-08-06 22:24:12.000000,2022-02-12 02:32:06,1636.0,,160.0,61.0,66.0,65.0,129.0,1789.0,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,26,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,337.0,327.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,577.0,577.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +470,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,,275.0,41.0,494.0,172.0,151.0,1676.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,49.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,146.0,138.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,30476.0,30482.0,,,,,,,,3.0,432.0,,,,,,,,,,,,,,,,,,, +471,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-10-16 18:44:05.000000,2023-09-22 08:30:27,1443.0,137.0,110.0,29.0,101.0,18.0,20.0,1647.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,26,True,2023-09-10 04:20:57.000,0.4.168,144.0,labml,,,,,112.0,106.0,https://pypi.org/project/labml,2023-09-10 04:20:57.000,6.0,1700.0,1700.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +472,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2023-06-16 16:16:35.554000,2022-08-31 01:52:51,509.0,,308.0,104.0,49.0,7.0,151.0,1568.0,Distributed Deep learning with Keras & Spark.,27.0,26,False,2023-03-15 02:28:00.464,4.1.0,38.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",76.0,73.0,https://pypi.org/project/elephas,2023-03-04 14:29:00.451,3.0,55326.0,55585.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,12999.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +473,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-10-19 08:09:00.000000,2023-10-19 08:01:43,698.0,102.0,240.0,49.0,520.0,21.0,61.0,1565.0,A lightweight library for PyTorch training tools and utilities.,102.0,26,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 23:16:03.000,38.0,5760.0,5760.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +474,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2023-10-08 23:17:48.968000,2023-10-05 18:36:18,1029.0,1.0,165.0,18.0,62.0,24.0,313.0,1362.0,PyTorch Extension Library of Optimized Scatter Operations.,28.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],77.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,77.0,41693.0,47289.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-10-08 23:17:48.968,223859.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +475,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-08-29 09:18:29.000000,2023-08-29 09:18:29,515.0,3.0,396.0,32.0,43.0,13.0,116.0,1295.0,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,,,,,478.0,459.0,https://pypi.org/project/minisom,2022-02-25 07:49:30.000,19.0,25999.0,25999.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-08-21 19:22:07.000000,2023-08-21 19:22:07,680.0,9.0,147.0,25.0,123.0,2.0,126.0,1272.0,"Extensible, parallel implementations of t-SNE.",11.0,26,True,2023-05-24 15:25:03.278,1.0.0,26.0,opentsne,conda-forge/opentsne,,,,683.0,668.0,https://pypi.org/project/opentsne,2022-03-18 13:53:43.000,15.0,30707.0,34605.0,https://anaconda.org/conda-forge/opentsne,2023-06-16 16:12:36.657,226094.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +477,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 17:45:20.000000,2021-10-21 17:45:17,202.0,,173.0,26.0,35.0,2.0,114.0,1194.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-03-30 16:22:41.000,0.5.5,5.0,fancyimpute,,,,['sklearn'],1449.0,1449.0,https://pypi.org/project/fancyimpute,,,17685.0,17685.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +478,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 21:45:49.000,2023-06-16 13:22:22.238000,2022-12-22 14:52:10,805.0,,142.0,36.0,214.0,109.0,152.0,1189.0,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,,,,463.0,426.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,37.0,16814.0,26860.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,733371.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +479,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2023-09-25 14:05:54.000000,2023-07-30 07:05:58,66.0,1.0,287.0,57.0,62.0,11.0,108.0,1185.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,9.0,26,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,966.0,937.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,29.0,9042.0,9042.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +480,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-10-12 14:57:26.000000,2023-10-12 14:56:47,1107.0,5.0,231.0,39.0,67.0,51.0,205.0,1177.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,26,True,2023-10-12 14:58:48.000,2.1.2,6.0,innvestigate,,,,['tensorflow'],109.0,109.0,https://pypi.org/project/innvestigate,,,775.0,780.0,,,,,,,,2.0,81.0,,,,,,,,,,,,,,,,,,, +481,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-10-17 16:27:57.000000,2023-10-17 16:27:51,207.0,5.0,78.0,33.0,107.0,12.0,18.0,1103.0,A library of reinforcement learning building blocks in JAX.,21.0,26,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],172.0,170.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,2.0,319226.0,319226.0,,,,,,,,3.0,,,,,,,,,google-deepmind/rlax,,,,,,,,,,, +482,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2023-10-09 09:50:10.000000,2023-08-01 13:02:51,2070.0,1.0,196.0,43.0,578.0,72.0,427.0,915.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,26,False,2023-08-01 13:38:54.000,2.0.2,47.0,smac,conda-forge/smac,,,,43.0,,https://pypi.org/project/smac,2023-08-01 13:30:07.000,43.0,28370.0,28923.0,https://anaconda.org/conda-forge/smac,2023-08-11 21:35:06.370,17163.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +483,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2023-10-19 12:38:19.000000,2023-10-19 12:38:14,1324.0,229.0,53.0,13.0,322.0,9.0,385.0,828.0,"An open-source toolkit for training, fine-tuning, and deployment of generative AI models across various cloud providers.",13.0,26,True,2023-10-18 09:11:30.000,0.12.0,148.0,dstack,,,,,12.0,12.0,https://pypi.org/project/dstack,2023-10-17 11:55:32.000,,1216.0,1216.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +484,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-10-10 20:30:16.000000,2023-03-06 13:54:05,3661.0,,318.0,68.0,673.0,39.0,517.0,803.0,The Classical Language Toolkit.,120.0,26,True,2021-06-10 16:34:40.000,1.0.15,66.0,cltk,,,,,248.0,248.0,https://pypi.org/project/cltk,,,1024.0,1024.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,, +485,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-10-18 13:19:35.000000,2023-10-18 13:05:19,456.0,15.0,99.0,23.0,84.0,13.0,93.0,627.0,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",26.0,26,True,2023-10-18 13:19:35.000,1.10.0,39.0,tinytag,,,,,110.0,,https://pypi.org/project/tinytag,2023-10-18 13:19:35.000,110.0,14498.0,14498.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +486,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-08-10 03:20:53.000000,2023-08-10 03:20:53,1214.0,128.0,60.0,7.0,206.0,18.0,109.0,469.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,26,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],206.0,201.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,3392.0,3392.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-09-28 15:28:41.000000,2022-12-22 21:34:29,574.0,,84.0,29.0,317.0,75.0,27.0,360.0,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'],306.0,299.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,68665.0,68665.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +488,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,,1100.0,178.0,212.0,19.0,533.0,8068.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,25,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,19.0,19.0,,,,,222.0,,,,,,,,3.0,7328.0,,,,,,,,,,,,,,,,,,, +489,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,,824.0,170.0,1588.0,145.0,74.0,6362.0,A natural language modeling framework based on PyTorch.,234.0,25,True,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],20.0,19.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,149.0,155.0,,,,,,,,3.0,348.0,,,,,,,,,,,,,,,,,,, +490,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-10-19 14:25:43.000000,2023-10-18 15:52:55,3286.0,103.0,588.0,92.0,3623.0,277.0,1229.0,4637.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,87.0,25,True,2023-09-28 15:21:56.000,1.30.0,70.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,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,,612.0,160.0,130.0,75.0,101.0,4576.0,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'],745.0,745.0,https://pypi.org/project/lucid,,,468.0,468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +492,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2023-08-31 07:24:48.000000,2022-07-29 10:37:24,205.0,,985.0,96.0,62.0,245.0,268.0,4447.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,25,False,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],28.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,28.0,19935.0,19935.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +493,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2023-06-16 19:25:40.006000,2022-08-23 22:54:23,1046.0,,982.0,240.0,214.0,51.0,198.0,4256.0,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,25,False,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,50.0,49.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,534.0,637.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3103.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +494,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,,511.0,139.0,649.0,66.0,197.0,3829.0,Snips Python library to extract meaning from text.,22.0,25,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 10:13:17.000,13.0,2061.0,2061.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +495,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2023-05-31 10:01:38.000000,2023-05-06 14:09:10,264.0,,400.0,40.0,49.0,72.0,173.0,3823.0,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,81.0,79.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,2.0,2332.0,2332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2023-10-12 09:43:46.000000,2023-10-12 08:57:51,209.0,2.0,309.0,86.0,92.0,48.0,32.0,3393.0,Python library that makes it easy for data scientists to create charts.,25.0,25,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,83.0,73.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,10.0,2613.0,3099.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,28688.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +497,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-09-22 09:55:14.000000,2023-05-19 17:52:25,508.0,,811.0,62.0,629.0,104.0,395.0,3081.0,A high-performance distributed training framework for Reinforcement Learning.,41.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],119.0,118.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,554.0,554.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +498,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-06-16 19:17:56.088000,2021-06-22 10:51:48,116.0,,469.0,101.0,49.0,58.0,253.0,2751.0,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,25,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,687.0,664.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,23.0,3070.0,3416.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,14827.0,,,,,3.0,804.0,,,,,,,,,,,,,,,,,,, +499,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-06-23 10:52:46.000000,2020-03-16 04:26:47,75.0,,216.0,66.0,42.0,17.0,23.0,2651.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,780.0,775.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,71324.0,71612.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,13862.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +500,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-06-30 21:16:15.000000,2023-06-30 21:16:10,470.0,,300.0,67.0,315.0,39.0,123.0,2629.0,DDSP: Differentiable Digital Signal Processing.,32.0,25,True,2023-05-25 02:30:41.654,3.7.0,55.0,ddsp,conda-forge/ddsp,,,['tensorflow'],47.0,46.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,1444.0,1805.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,14457.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2023-10-18 12:30:19.000000,2023-07-19 07:40:10,212.0,,128.0,30.0,198.0,19.0,73.0,2575.0,HiPlot makes understanding high dimensional data easy.,9.0,25,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,354.0,339.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,15.0,24205.0,27928.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,163836.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +502,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,,706.0,167.0,94.0,134.0,358.0,2443.0,An Algorithmic Trading Library for Crypto-Assets in Python.,151.0,25,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 16:46:28.000,2.0,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +503,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,,604.0,91.0,29.0,23.0,51.0,2286.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,25,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,610.0,431.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,179.0,182134.0,182134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +504,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 01:11:33.000,2023-10-13 21:18:15.000000,2023-07-01 21:40:58,1936.0,,315.0,38.0,82.0,14.0,156.0,2262.0,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,28.0,25,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],4.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,4.0,1713.0,1713.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +505,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-06-16 19:27:14.287000,2022-09-28 17:12:28,249.0,,246.0,25.0,315.0,70.0,37.0,2194.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,25,False,2022-09-28 06:56:26.000,0.2.10,2.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],694.0,694.0,https://pypi.org/project/lazypredict,,,37068.0,37165.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2537.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +506,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-10-15 09:57:16.000000,2023-05-15 21:21:45,660.0,,215.0,38.0,136.0,6.0,125.0,2170.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,25,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,137.0,134.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,3.0,5666.0,5673.0,,,,,,,,3.0,294.0,,,,,,,,,,,,,,,,,,, +507,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-09-05 06:09:07.000000,2023-09-05 06:09:05,385.0,1.0,278.0,57.0,14.0,21.0,78.0,2152.0,Beautiful visualizations of how language differs among document types.,14.0,25,True,2023-04-18 01:25:02.819,0.1.19,148.0,scattertext,conda-forge/scattertext,,,,446.0,436.0,https://pypi.org/project/scattertext,2022-03-26 09:23:49.000,10.0,9173.0,10315.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,84559.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +508,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-06-16 19:23:39.686000,2021-07-16 09:03:20,66.0,,463.0,38.0,42.0,64.0,58.0,2039.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,25,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1792.0,1778.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,52003.0,56759.0,https://anaconda.org/anaconda/efficientnet,2023-06-16 19:23:39.686,451.0,,,,,3.0,251482.0,,,,,,,,,,,,,,,,,,, +509,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-06-20 17:42:42.000000,2023-06-20 17:42:34,12566.0,,83.0,41.0,47.0,11.0,74.0,2031.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,55.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,55.0,55229.0,55229.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +510,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-07-12 18:18:40.000000,2023-07-12 18:14:01,1515.0,,233.0,67.0,58.0,30.0,185.0,2008.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,25,True,2023-07-12 18:26:08.000,2.0.1,13.0,ampligraph,,,,['tensorflow'],44.0,44.0,https://pypi.org/project/ampligraph,,,661.0,661.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +511,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 05:46:52.000,2023-10-11 19:12:48.654000,2023-05-26 18:23:37,117.0,,228.0,44.0,36.0,45.0,21.0,1812.0,Parallel t-SNE implementation with Python and Torch wrappers.,17.0,25,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],428.0,406.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,30932.0,31906.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,29223.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +512,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,,294.0,55.0,1313.0,233.0,810.0,1743.0,A toolkit for reproducible reinforcement learning research.,79.0,25,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],92.0,90.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,560.0,560.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +513,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 13:50:19.000,2023-10-08 20:12:03.000000,2023-10-08 20:12:02,569.0,9.0,109.0,52.0,441.0,60.0,102.0,1680.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,28.0,25,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,79.0,73.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,6.0,3437.0,3437.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +514,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2023-09-22 07:25:32.800000,2023-04-20 14:53:46,460.0,,238.0,50.0,48.0,22.0,91.0,1541.0,Contextually-keyed word vectors.,19.0,25,True,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,302.0,289.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,,2190.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,34949.0,,,,,3.0,59180.0,,,,,,,,,,,,,,,,,,, +515,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-09-19 07:41:06.631000,2022-12-07 10:32:49,237.0,,267.0,1.0,1.0,1.0,,1525.0,Feature engineering package with sklearn like functionality.,38.0,25,True,2023-09-18 14:50:58.000,1.6.2,38.0,feature_engine,conda-forge/feature_engine,,,,86.0,,https://pypi.org/project/feature_engine,2023-09-18 14:50:58.000,86.0,153752.0,154820.0,https://anaconda.org/conda-forge/feature_engine,2023-09-19 07:41:06.631,40617.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +516,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-10-15 07:03:27.000000,2023-08-27 09:50:01,1167.0,26.0,117.0,29.0,68.0,1.0,29.0,1436.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,25,True,2023-08-19 14:26:10.000,0.7.0,29.0,pytorch_toolbelt,,,,['pytorch'],7.0,,https://pypi.org/project/pytorch_toolbelt,2022-06-27 19:59:57.000,7.0,17694.0,17694.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +517,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-08-12 06:34:31.000000,2023-08-12 06:34:27,161.0,2.0,249.0,50.0,86.0,21.0,188.0,1425.0,"Genetic Programming in Python, with a scikit-learn inspired API.",11.0,25,True,2022-05-03 10:56:08.000,0.4.2,7.0,gplearn,conda-forge/gplearn,,,['sklearn'],457.0,444.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,13.0,5523.0,5676.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6143.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +518,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-10-07 11:26:55.000000,2023-10-07 11:26:54,2816.0,22.0,166.0,27.0,658.0,84.0,428.0,1357.0,A Python library for learning and evaluating knowledge graph embeddings.,36.0,25,True,2023-02-22 18:28:28.000,1.10.1,19.0,pykeen,,,,,,,https://pypi.org/project/pykeen,,,3671.0,3675.0,,,,,,,,2.0,175.0,,,,,,,,,,,,,,,,,,, +519,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,,141.0,29.0,63.0,7.0,70.0,1262.0,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,False,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],1231.0,1218.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,14310.0,14310.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +520,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-10-05 17:24:24.000000,2023-09-05 02:07:57,4200.0,4.0,275.0,84.0,638.0,14.0,605.0,1194.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,25,True,2023-08-01 02:38:24.000,23.07,28.0,pysal,conda-forge/pysal,,,,,,https://pypi.org/project/pysal,,,21786.0,35155.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,521399.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +521,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 18:22:13.000,2023-10-19 08:20:16.000000,2023-02-08 02:25:50,604.0,,200.0,54.0,460.0,141.0,291.0,1160.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,25,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 09:12:55.841,9.0,406.0,406.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +522,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-10-10 19:37:02.000000,2023-10-09 17:33:41,760.0,75.0,167.0,18.0,248.0,64.0,93.0,1157.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,25,True,2023-06-26 15:48:01.000,0.10,11.0,dice-ml,,,,"['tensorflow', 'pytorch']",5.0,,https://pypi.org/project/dice-ml,2022-06-02 13:40:03.000,5.0,63207.0,63207.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +523,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-10-02 13:48:23.000000,2023-09-03 19:16:54,508.0,14.0,159.0,33.0,86.0,16.0,32.0,1068.0,"A program for financial portfolio management, analysis and optimisation.",11.0,25,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,84.0,84.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,,1260.0,1260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +524,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 21:48:16.000,2023-09-20 15:32:40.000000,2023-09-20 15:32:36,567.0,2.0,191.0,49.0,61.0,1.0,68.0,971.0,Training neural models with structured signals.,38.0,25,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],387.0,384.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,14269.0,14269.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +525,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2023-10-17 20:58:48.000000,2023-10-17 01:14:43,1780.0,198.0,75.0,18.0,615.0,60.0,135.0,968.0,"MetricFlow allows you to define, build, and maintain metrics in code.",41.0,25,False,2023-09-06 22:57:08.000,0.202.0,61.0,metricflow,,,,,13.0,10.0,https://pypi.org/project/metricflow,2023-10-17 04:08:18.000,3.0,16546.0,16546.0,,,,,,,,3.0,,,,,,,,,dbt-labs/metricflow,,,,,,,,,,, +526,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-10-19 14:18:46.000000,2023-10-11 22:12:42,1765.0,61.0,337.0,56.0,438.0,139.0,241.0,942.0,Machine learning on FPGAs using HLS.,55.0,25,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,,573.0,758.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,6859.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,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,,252.0,42.0,72.0,103.0,188.0,889.0,Gaussian Process Optimization using GPy.,49.0,25,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,497.0,459.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,38.0,7605.0,7605.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +528,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-08-14 08:41:19.000000,2023-08-12 20:19:05,5777.0,22.0,81.0,14.0,77.0,218.0,218.0,825.0,"Experiment tracking, ML developer tools.",29.0,25,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,82.0,82.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1445.0,1445.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,, +529,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 10:51:56.000,2023-10-18 12:38:27.000000,2023-10-04 12:04:30,755.0,4.0,54.0,13.0,114.0,39.0,95.0,822.0,Visualize large time series data with plotly.py.,11.0,25,True,2023-07-13 11:26:44.000,0.9.1,19.0,plotly-resampler,conda-forge/plotly-resampler,,,,611.0,611.0,https://pypi.org/project/plotly-resampler,,,326533.0,327947.0,https://anaconda.org/conda-forge/plotly-resampler,2023-08-11 13:55:21.400,29711.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +530,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-10-02 23:03:55.000000,2023-10-02 23:03:48,220.0,11.0,79.0,21.0,151.0,24.0,82.0,794.0,Library to enable Bayesian active learning in your research or labeling work.,21.0,25,True,2023-10-02 19:58:51.000,1.9.1,19.0,baal,conda-forge/baal,,,,53.0,52.0,https://pypi.org/project/baal,2023-10-02 19:57:48.000,1.0,1836.0,2053.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,7164.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +531,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2023-08-27 04:36:31.000000,2021-02-11 16:40:18,279.0,,71.0,13.0,48.0,20.0,52.0,668.0,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,7.0,25,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,933.0,933.0,https://pypi.org/project/pysbd,,,192323.0,192516.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,4649.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +532,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-09-19 18:44:18.000000,2023-09-19 18:44:18,355.0,21.0,116.0,19.0,78.0,23.0,33.0,650.0,Working with molecular structures in pandas DataFrames.,15.0,25,True,2023-08-28 15:31:05.000,0.5.1de,19.0,biopandas,conda-forge/biopandas,,,['pandas'],228.0,205.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,81457.0,83233.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,145652.0,,,,,3.0,,,,,,,,,BioPandas/biopandas,,,,,,,,,,, +533,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-10-13 17:35:36.000000,2023-08-23 17:20:54,1241.0,1.0,150.0,19.0,682.0,25.0,208.0,464.0,A package built to support working with spatial data using open source python.,44.0,25,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,270.0,253.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,4657.0,5939.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,69263.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +534,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2023-09-23 13:28:08.196000,2022-01-15 18:08:37,1718.0,,56.0,13.0,11.0,32.0,5.0,464.0,Pure-Python full-text search library.,42.0,25,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3692.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3692.0,265700.0,272932.0,https://anaconda.org/conda-forge/whoosh,2023-09-23 13:28:08.196,209739.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +535,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2023-10-05 14:57:15.000000,2023-10-05 14:57:15,219.0,2.0,53.0,14.0,196.0,12.0,184.0,281.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",13.0,25,False,2023-04-23 19:42:01.507,3.7.0,69.0,pystan,conda-forge/pystan,,,,259.0,,https://pypi.org/project/pystan,2023-04-23 19:42:01.507,259.0,1566497.0,1601468.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2762765.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +536,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-10-11 20:27:13.000000,2023-10-10 19:15:27,4039.0,14.0,48.0,14.0,708.0,217.0,203.0,266.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,25,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,100.0,92.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,1938.0,1938.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +537,textgenrnn,minimaxir/textgenrnn,nlp,,https://github.com/minimaxir/textgenrnn,https://github.com/minimaxir/textgenrnn,MIT,2017-08-07 02:13:37.000,2022-07-17 19:07:49.000000,2020-07-14 02:41:10,174.0,,749.0,138.0,43.0,141.0,98.0,4923.0,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,24,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1113.0,1097.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,851.0,864.0,,,,,,,,3.0,884.0,,,,,,,,,,,,,,,,,,, +538,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2023-08-25 22:35:13.000000,2023-08-25 22:18:03,209.0,1.0,284.0,64.0,176.0,19.0,54.0,4816.0,"A data augmentations library for audio, image, text, and video.",32.0,24,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,85.0,82.0,https://pypi.org/project/augly,2022-03-28 13:29:26.000,3.0,1371.0,1371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-09-02 01:51:06.000000,2023-04-28 16:55:30,521.0,,423.0,60.0,88.0,48.0,88.0,4730.0,Finding duplicate images made easy!.,15.0,24,True,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],69.0,64.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,3603.0,3603.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +540,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-10-14 14:45:18.000000,2023-02-19 16:29:00,327.0,,901.0,45.0,29.0,62.0,110.0,4479.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",17.0,24,True,2021-06-28 12:45:52.000,0.6.5,20.0,scikit-opt,,,,['sklearn'],154.0,154.0,https://pypi.org/project/scikit-opt,,,3520.0,3520.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +541,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-07-17 20:51:30.000000,2023-03-05 22:07:59,1158.0,,1370.0,352.0,57.0,51.0,,4161.0,Python Algorithmic Trading Library.,11.0,24,True,,,8.0,pyalgotrade,,,,,192.0,171.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,746.0,746.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,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,,713.0,66.0,247.0,124.0,822.0,3917.0,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,False,2021-04-06 12:38:10.521,2.10.2,31.0,stable-baselines,,,,,35.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,35.0,4527.0,4527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,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,,679.0,72.0,25.0,117.0,101.0,2970.0,Neural network visualization toolkit for keras.,10.0,24,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2850.0,2821.0,https://pypi.org/project/keras-vis,2017-04-02 03:54:58.000,29.0,955.0,955.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +544,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-10-18 06:14:57.000000,2023-02-28 07:05:02,2087.0,,678.0,163.0,60.0,7.0,657.0,2937.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,26.0,24,True,2023-02-28 18:11:51.000,1.5.0,19.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,904.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,57876.0,,,,,3.0,4684.0,,,,,,,,,,,,,,,,,,, +545,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2023-08-29 08:45:13.000000,2023-08-29 08:45:10,277.0,6.0,233.0,43.0,110.0,80.0,64.0,2801.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,24,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,10724.0,10726.0,,,,,,,,3.0,119.0,,,,,,,,,,,,,,,,,,, +546,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2023-10-07 14:59:35.000000,2023-09-25 05:41:01,1296.0,2.0,313.0,93.0,2156.0,206.0,982.0,2649.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",52.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,58131.0,58131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +547,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,,216.0,48.0,480.0,45.0,70.0,2629.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,24,True,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,173.0,170.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,16604.0,16604.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,, +548,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2023-07-04 21:11:26.000000,2023-07-04 21:11:26,451.0,,258.0,58.0,56.0,19.0,50.0,2195.0,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,True,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],601.0,582.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,4249.0,4249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +549,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-19 13:57:11.000000,2023-10-19 13:57:11,754.0,2.0,288.0,28.0,695.0,49.0,141.0,2164.0,"Toolkit for creating, sharing and using natural language prompts.",65.0,24,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,63.0,62.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,1.0,3633.0,3633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +550,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,,238.0,71.0,20.0,92.0,66.0,2051.0,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,267.0,251.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,16.0,51798.0,51798.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +551,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-10-05 21:16:31.000000,2023-07-01 21:39:32,2288.0,,229.0,40.0,36.0,6.0,109.0,1988.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,199.0,195.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,4.0,4153.0,4693.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,21065.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +552,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2023-09-26 17:28:16.000000,2023-09-26 17:27:56,255.0,3.0,190.0,31.0,63.0,4.0,83.0,1947.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,True,,,2.0,checklist,conda-forge/checklist,,,['jupyter'],285.0,285.0,https://pypi.org/project/checklist,,,3501.0,3695.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,6429.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2023-08-03 00:59:57.000000,2020-07-17 20:19:46,350.0,,114.0,39.0,11.0,32.0,51.0,1607.0,"A fast, efficient universal vector embedding utility package.",4.0,24,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,330.0,317.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,13.0,1210.0,1210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-10-15 22:54:39.000000,2023-10-15 22:54:39,156.0,1.0,162.0,99.0,183.0,39.0,25.0,1463.0,fklearn: Functional Machine Learning.,53.0,24,True,2023-08-16 12:44:32.000,2.4.0,30.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2023-08-16 12:44:32.000,,2373.0,2373.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,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,,406.0,91.0,165.0,103.0,224.0,1345.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,59.0,24,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],43.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +556,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-06-16 19:23:39.693000,2022-12-24 01:52:28,204.0,,304.0,49.0,42.0,92.0,112.0,1258.0,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'],329.0,329.0,https://pypi.org/project/keras-ocr,,,12062.0,30076.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,281.0,,,,,3.0,666226.0,,,,,,,,,,,,,,,,,,, +557,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-09-27 15:14:50.000000,2023-09-27 15:14:33,667.0,1.0,157.0,47.0,161.0,19.0,376.0,1250.0,moDel Agnostic Language for Exploration and eXplanation.,24.0,24,False,2022-09-10 12:32:33.000,python-v1.5.0,6.0,dalex,conda-forge/dalex,,,,129.0,129.0,https://pypi.org/project/dalex,,,17320.0,17645.0,https://anaconda.org/conda-forge/dalex,2023-06-16 19:24:13.607,10757.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +558,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,,224.0,73.0,415.0,75.0,147.0,1126.0,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,,,,,165.0,155.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,10.0,540.0,540.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-08-29 11:31:26.000000,2023-08-29 11:31:26,76.0,1.0,223.0,20.0,16.0,3.0,87.0,1125.0,Implementation of the node2vec algorithm.,12.0,24,True,2022-08-01 11:34:27.000,0.4.6,9.0,node2vec,conda-forge/node2vec,,,,487.0,487.0,https://pypi.org/project/node2vec,,,63621.0,64032.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,26727.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +560,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-09-30 06:19:56.000000,2023-09-30 06:19:56,409.0,8.0,184.0,34.0,72.0,3.0,86.0,1027.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,24,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],200.0,191.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,4433.0,4433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,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 02:02:07.000,2023-10-15 05:57:46.000000,2023-10-15 05:57:46,1036.0,2.0,173.0,48.0,112.0,51.0,170.0,945.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,317.0,268.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,49.0,701.0,701.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2023-10-06 08:51:55.000000,2023-10-05 20:16:49,726.0,2.0,143.0,15.0,99.0,21.0,224.0,883.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,44.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],73.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,73.0,24619.0,30473.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-06-16 19:19:31.218,234168.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-08-14 23:20:14.000000,2023-03-06 07:52:05,311.0,,107.0,26.0,36.0,34.0,69.0,864.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],544.0,532.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,26399.0,26399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +564,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,,160.0,33.0,25.0,33.0,235.0,740.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,171.0,158.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,13.0,5548.0,5548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +565,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-08-23 07:53:53.000000,2023-08-22 10:38:02,306.0,15.0,129.0,19.0,72.0,5.0,61.0,739.0,An intuitive library to extract features from time series.,18.0,24,True,2023-08-23 07:53:53.000,0.1.6,10.0,tsfel,,,,,96.0,96.0,https://pypi.org/project/tsfel,2023-08-22 10:46:05.000,,23685.0,23685.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +566,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-10-14 06:13:02.000000,2023-10-14 06:13:02,551.0,2.0,93.0,17.0,188.0,93.0,133.0,593.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",31.0,24,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,169.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,169.0,1453950.0,1454089.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,16198.0,,,,,,,,,,,,,,,,,,, +567,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-10-19 09:56:21.000000,2023-10-18 06:16:26,828.0,32.0,77.0,9.0,671.0,75.0,415.0,558.0,Automated modeling and machine learning framework FEDOT.,29.0,24,True,2023-07-25 13:20:41.000,0.7.2,19.0,fedot,,,,,41.0,40.0,https://pypi.org/project/fedot,2023-07-25 13:17:29.000,1.0,1124.0,1124.0,,,,,,,,2.0,,,,,,,,,aimclub/FEDOT,,,,,,,,,,, +568,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2023-10-18 13:09:12.000000,2023-10-18 13:08:59,466.0,6.0,48.0,8.0,51.0,157.0,226.0,546.0,python binding for libvips using cffi.,16.0,24,True,2022-06-12 09:54:07.000,2.2.1,24.0,pyvips,conda-forge/pyvips,,,,645.0,599.0,https://pypi.org/project/pyvips,2022-06-12 09:54:07.000,46.0,51428.0,53325.0,https://anaconda.org/conda-forge/pyvips,2023-09-26 03:23:28.071,68314.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +569,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2023-06-16 13:16:45.065000,2022-02-11 07:59:35,77.0,,72.0,9.0,17.0,11.0,12.0,496.0,Find pyspark to make it importable.,15.0,24,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],4003.0,3840.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,163.0,1858183.0,1867986.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,862716.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +570,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-10-18 22:13:45.000000,2023-10-18 22:13:44,950.0,24.0,163.0,24.0,815.0,86.0,379.0,459.0,MONAI Label is an intelligent open source image labeling and learning tool.,53.0,24,True,2023-10-18 15:08:49.000,0.8.0,114.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-10-01 02:24:07.000,,326.0,2745.0,,,,,,,,3.0,65337.0,,,,,,,,,,,,,,,,,,, +571,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,210.0,23.0,17.0,34.0,23.0,421.0,scikit-learn inspired API for CRFsuite.,6.0,24,False,,,1.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7122.0,7122.0,https://pypi.org/project/sklearn-crfsuite,,,551668.0,552606.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,39415.0,,,,,3.0,,,,,,-4.0,,,,,,,,,,,,,, +572,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2023-10-14 01:37:36.000000,2023-03-05 05:31:37,737.0,,79.0,13.0,29.0,9.0,44.0,329.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,15.0,24,True,2023-03-05 05:35:05.094,3.0.1,57.0,pymap3d,conda-forge/pymap3d,,,,341.0,320.0,https://pypi.org/project/pymap3d,2023-03-05 05:35:05.094,21.0,75349.0,76781.0,https://anaconda.org/conda-forge/pymap3d,2023-06-16 19:18:14.535,61597.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +573,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2023-10-19 06:59:37.000000,2023-10-18 02:35:24,509.0,8.0,54.0,39.0,255.0,17.0,59.0,292.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",36.0,24,False,2023-10-11 11:27:11.000,1.2.3,70.0,gokart,,,,,79.0,74.0,https://pypi.org/project/gokart,2023-10-11 11:27:11.000,5.0,3277.0,3277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +574,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-18 17:54:31.000000,2023-10-18 17:54:31,758.0,3.0,648.0,99.0,150.0,98.0,103.0,8309.0,Developer toolkit for making AI models better.,40.0,23,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,604.0,604.0,,,,,,,,3.0,,,,,,,,,nebuly-ai/nebuly,,,,,,,,,,, +575,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-06-16 18:03:39.000000,2023-03-04 05:19:44,2327.0,,606.0,146.0,1362.0,118.0,985.0,7963.0,Production infrastructure for machine learning at scale.,24.0,23,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,1191.0,1191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +576,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2023-08-23 18:39:43.000000,2020-06-03 05:58:03,146.0,,1379.0,262.0,68.0,115.0,132.0,6144.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,22.0,19.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +577,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 21:45:14.000,2023-10-09 20:13:15.000000,2023-10-02 13:04:59,593.0,2.0,728.0,105.0,583.0,105.0,345.0,5525.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,56.0,23,True,2023-03-30 16:55:07.154,0.9.4,29.0,t5,,,,['tensorflow'],2.0,,https://pypi.org/project/t5,2021-10-18 13:55:26.000,2.0,16644.0,16644.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +578,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2023-10-18 21:51:58.000000,2023-10-18 21:42:34,1092.0,2.0,881.0,117.0,674.0,238.0,540.0,5324.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,114.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],15.0,14.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,193.0,193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +579,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-10-18 18:58:09.000000,2023-10-18 18:58:09,1510.0,38.0,793.0,144.0,1411.0,320.0,394.0,4588.0,Simple and Distributed Machine Learning.,112.0,23,True,2023-09-27 02:20:17.000,0.11.3,35.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,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,,893.0,177.0,385.0,33.0,430.0,3794.0,"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,,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +581,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,,529.0,174.0,49.0,64.0,49.0,3465.0,Fast and flexible AutoML with learning guarantees.,27.0,23,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],57.0,54.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,3.0,114.0,114.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +582,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-10-02 18:04:41.000000,2022-03-16 17:52:29,715.0,,216.0,55.0,34.0,68.0,120.0,3043.0,A GUI for Pandas DataFrames.,13.0,23,False,,,2.0,pandasgui,conda-forge/pandasgui,,,['pandas'],292.0,292.0,https://pypi.org/project/pandasgui,,,3021.0,3633.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,20228.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +583,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 02:27:30.000,2023-09-06 01:51:23.000000,2023-09-06 01:51:17,3452.0,1.0,727.0,107.0,3869.0,533.0,855.0,2586.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,23,True,2022-01-25 00:22:00.888,0.11.2,418.0,analytics-zoo,,,,['spark'],5.0,4.0,https://pypi.org/project/analytics-zoo,2022-07-07 07:51:54.000,1.0,896.0,896.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +584,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,,439.0,65.0,122.0,27.0,349.0,2369.0,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'],62.0,62.0,https://pypi.org/project/kashgari-tf,,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,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,,304.0,67.0,78.0,63.0,68.0,2095.0,Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755).,21.0,23,False,2021-05-18 16:13:10.000,2.6.0,32.0,sru,,,,['pytorch'],25.0,22.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,2430.0,2430.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +586,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-10-16 16:49:59.000000,2023-10-16 16:49:59,532.0,10.0,176.0,40.0,114.0,55.0,125.0,2010.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,25.0,23,True,,,2.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,,,4857.0,4857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +587,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,,635.0,82.0,48.0,24.0,64.0,1980.0,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,437.0,425.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,6765.0,6765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,126.0,34.0,407.0,65.0,326.0,1742.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,40.0,39.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,104637.0,104637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +589,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-09-26 02:48:51.000000,2023-09-26 02:48:50,872.0,1.0,126.0,34.0,407.0,65.0,326.0,1742.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,23,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,40.0,39.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,104637.0,104845.0,https://anaconda.org/conda-forge/orbit-ml,2023-06-18 08:40:35.691,4388.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +590,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,,268.0,28.0,182.0,9.0,389.0,1592.0,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,23,False,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],174.0,167.0,https://pypi.org/project/talos,2022-05-28 10:07:34.000,7.0,857.0,857.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +591,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,,116.0,28.0,31.0,58.0,50.0,1556.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],334.0,329.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,5.0,44457.0,44457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,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,,203.0,45.0,12.0,4.0,51.0,1543.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,23,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],198.0,196.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,7226.0,7226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +593,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-09-01 16:34:21.000000,2023-08-25 22:11:00,340.0,2.0,292.0,40.0,252.0,69.0,190.0,1370.0,A framework for Privacy Preserving Machine Learning.,33.0,23,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],31.0,30.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,278.0,278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +594,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,,160.0,32.0,22.0,42.0,34.0,1250.0,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,False,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],59.0,58.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,358.0,358.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +595,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2023-09-14 02:51:02.000000,2022-05-29 19:09:18,309.0,,186.0,27.0,57.0,21.0,36.0,1214.0,A Toolbox for Adversarial Robustness Research.,21.0,23,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],141.0,136.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,480.0,480.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,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,,103.0,12.0,18.0,13.0,15.0,1004.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,23,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,4300.0,4049.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,251.0,332009.0,332009.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +597,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2023-09-27 19:23:04.851000,2023-03-29 07:39:45,85.0,,78.0,26.0,53.0,32.0,27.0,912.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,True,2020-02-13 09:57:47.000,1.0.6,4.0,youtokentome,conda-forge/youtokentome,,,,534.0,534.0,https://pypi.org/project/youtokentome,,,36342.0,37854.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,37818.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +598,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-10-07 18:05:54.000000,2022-12-07 13:45:45,1234.0,,136.0,25.0,594.0,62.0,511.0,834.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,23,True,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,4585.0,4585.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +599,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2023-10-13 19:56:17.000000,2023-10-12 18:15:50,276.0,6.0,243.0,45.0,18.0,7.0,91.0,780.0,Data compression in TensorFlow.,21.0,23,True,2023-10-13 19:56:17.000,2.14.0,22.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2023-10-12 23:14:15.000,2.0,9285.0,9285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +600,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2023-06-16 13:23:14.332000,2019-07-22 06:22:45,1380.0,,146.0,25.0,154.0,73.0,137.0,757.0,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 08:49:39.000,44.0,5064.0,10193.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,308500.0,,,,,3.0,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,1123.0,,2019-07-21 08:49:48.715,2.0,,,,,,,,,,,, +601,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-10-18 12:29:50.000000,2023-10-17 00:18:07,1105.0,112.0,120.0,32.0,922.0,33.0,50.0,743.0,Machine learning framework for both deep learning and traditional algorithms.,34.0,23,True,2023-09-19 21:28:50.000,2.0.192,11.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-09-19 21:28:50.000,,596.0,596.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +602,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-09-17 15:13:06.000000,2023-06-12 22:12:53,449.0,,74.0,25.0,157.0,50.0,62.0,743.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,23,True,2023-09-17 15:13:06.000,1.7.0,10.0,objax,,,,['jax'],46.0,41.0,https://pypi.org/project/objax,2022-01-31 23:28:27.000,5.0,524.0,524.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +603,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2023-09-26 10:08:12.000000,2023-08-23 11:46:56,231.0,5.0,94.0,15.0,36.0,33.0,24.0,721.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,11.0,23,True,2022-12-19 18:16:02.257,0.5.1,12.0,detoxify,,,,,426.0,416.0,https://pypi.org/project/detoxify,2022-12-19 18:16:02.257,10.0,26376.0,34771.0,,,,,,,,3.0,293855.0,,,,,,,,,,,,,,,,,,, +604,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2023-10-17 14:50:13.000000,2023-10-17 14:50:08,1502.0,4.0,77.0,36.0,644.0,22.0,118.0,689.0,Scikit-learn style model finetuning for NLP.,21.0,23,True,2023-09-29 10:19:51.000,0.10.0,39.0,finetune,,,,"['tensorflow', 'sklearn']",13.0,11.0,https://pypi.org/project/finetune,2023-09-29 10:19:51.000,2.0,231.0,231.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +605,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2023-09-26 00:20:33.000000,2023-09-26 00:20:33,398.0,1.0,155.0,17.0,72.0,35.0,105.0,652.0,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,,,,172.0,148.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,24.0,36981.0,37849.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,78145.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +606,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,,138.0,122.0,91.0,43.0,67.0,640.0,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'],190.0,175.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,15.0,11601.0,11601.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +607,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2023-08-31 16:23:08.000000,2018-12-04 14:43:25,32.0,,79.0,21.0,8.0,22.0,41.0,603.0,"Dragndrop Pivot Tables and Charts for Jupyter/IPython Notebook, care of PivotTable.js.",3.0,23,False,2018-01-15 18:14:37.000,0.9.0,10.0,pivottablejs,anaconda/pivottablejs,,,['jupyter'],391.0,370.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,21.0,22435.0,22464.0,https://anaconda.org/anaconda/pivottablejs,2023-06-16 13:18:14.055,2735.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +608,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2023-07-17 20:34:35.934000,2023-07-17 15:55:22,3693.0,,66.0,46.0,346.0,20.0,388.0,536.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,36.0,23,False,2023-07-17 16:04:04.000,4.0.0,68.0,skll,conda-forge/skll,,,['sklearn'],57.0,39.0,https://pypi.org/project/skll,2023-01-19 17:28:00.723,18.0,272.0,799.0,https://anaconda.org/conda-forge/skll,2023-07-17 20:34:35.934,12122.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,, +609,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-10-19 11:26:50.000000,2023-10-13 20:16:41,2254.0,22.0,41.0,11.0,11.0,11.0,51.0,469.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,23,True,2023-08-27 10:59:47.000,4.5.0,74.0,hyperactive,,,,,26.0,21.0,https://pypi.org/project/hyperactive,2023-08-27 10:57:33.000,5.0,2499.0,2501.0,,,,,,,,3.0,129.0,,,,,,,,,,,,,,,,,,, +610,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2023-07-16 11:29:31.000000,2023-07-16 11:29:26,153.0,,46.0,17.0,2.0,9.0,3.0,354.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,23,True,2023-07-16 11:35:00.418,0.0.9,10.0,suod,,,,,493.0,491.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000,2.0,63805.0,63805.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +611,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-10-06 23:29:55.000000,2023-10-06 23:29:55,2463.0,10.0,56.0,9.0,227.0,28.0,72.0,245.0,Python recommendation toolkit.,13.0,23,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,93.0,89.0,https://pypi.org/project/lenskit,2022-08-16 20:29:07.512,4.0,1162.0,1810.0,https://anaconda.org/conda-forge/lenskit,2023-06-16 19:23:42.362,22686.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +612,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2023-09-25 06:14:21.168000,2022-04-14 09:41:50,86.0,,33.0,13.0,9.0,4.0,12.0,226.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,23,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,926.0,881.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,45.0,116493.0,117978.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,53464.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +613,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2023-07-20 13:12:55.000000,,,,3827.0,,,132.0,,22902.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",142.0,22,True,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],43.0,,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,6340.0,6425.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2307.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +614,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,,820.0,234.0,109.0,57.0,620.0,4815.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,22,False,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,24.0,,,,,,,,3.0,1501.0,,,,,,,,,,,,,,,,,,, +615,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,,1703.0,19.0,17.0,70.0,24.0,4773.0,Python package for performing Entity and Text Matching using Deep Learning.,7.0,22,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,25.0,25.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2374.0,2374.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +616,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2023-07-18 09:20:28.000000,2022-08-09 13:26:32,565.0,,1273.0,307.0,204.0,67.0,205.0,4515.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1959.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143027.0,3.0,,,,,,,,,,,,,,,,,,,, +617,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,,700.0,103.0,32.0,99.0,112.0,4327.0,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'],116.0,116.0,https://pypi.org/project/ISR,,,5175.0,5178.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,228.0,3.0,,,,,,,,,,,,,,,,,,,, +618,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 03:11:32.000,2023-08-24 02:06:46.000000,2023-01-15 11:37:16,279.0,,801.0,105.0,90.0,106.0,349.0,4144.0,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 01:36:44.000,2.0,10205.0,10205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +619,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-06-16 13:24:50.216000,2019-05-22 18:27:54,1118.0,,824.0,334.0,89.0,91.0,306.0,3864.0,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,22,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,83.0,107.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1822.0,,,,,3.0,374.0,,,,,,,,,,,,,,,,,,, +620,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-10-05 08:32:09.000000,2023-10-05 08:26:32,1577.0,9.0,498.0,154.0,609.0,69.0,75.0,3455.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",162.0,22,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,,,,,,,,,,,,,,,,,,,, +621,gpt-2-simple,minimaxir/gpt-2-simple,nlp,,https://github.com/minimaxir/gpt-2-simple,https://github.com/minimaxir/gpt-2-simple,MIT,2019-04-13 20:00:52.000,2022-12-14 11:50:45.000000,2022-05-22 02:02:04,149.0,,654.0,77.0,53.0,176.0,101.0,3329.0,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,False,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],7.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,7.0,3382.0,3391.0,,,,,,,,3.0,532.0,,,,,,,,,,,,,,,,,,, +622,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/google-deepmind/trfl,https://github.com/google-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,,380.0,208.0,9.0,6.0,16.0,3140.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],132.0,129.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,2217.0,2217.0,,,,,,,,3.0,,,,,,,,,google-deepmind/trfl,,,,,,,,,,, +623,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-09-12 09:09:52.000000,2023-08-25 22:30:06,405.0,2.0,316.0,56.0,413.0,79.0,106.0,3134.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",37.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],31.0,30.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +624,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-10-18 17:03:24.000000,2023-08-08 21:17:31,765.0,2.0,362.0,93.0,545.0,144.0,91.0,2732.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,22,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],8.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,8.0,4675.0,4675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +625,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-09-01 22:04:56.000000,2023-08-24 15:33:37,935.0,1.0,165.0,19.0,73.0,88.0,165.0,2638.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,27.0,22,True,2023-03-03 01:24:36.000,1.0.0,3.0,ffcv,,,,,32.0,32.0,https://pypi.org/project/ffcv,,,953.0,953.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +626,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,,400.0,130.0,136.0,52.0,128.0,2397.0,Deep Learning toolkit for Computer Vision.,15.0,22,False,,,10.0,luminoth,,,,['tensorflow'],49.0,49.0,https://pypi.org/project/luminoth,,,1561.0,1737.0,,,,,,,,3.0,12707.0,,,,,,,,,,,,,,,,,,, +627,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,,370.0,80.0,144.0,33.0,126.0,2365.0,"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,,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +628,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2023-06-07 17:48:51.000000,2023-06-07 17:48:50,26.0,,99.0,37.0,27.0,22.0,78.0,1745.0,"A flexible, intuitive and fast forecasting library.",9.0,22,True,2023-06-07 17:56:26.462,0.5.1,10.0,greykite,,,,,23.0,23.0,https://pypi.org/project/greykite,2022-07-15 21:40:53.479,,13316.0,13316.0,,,,,,,,3.0,4.0,,,,,,,,,,,,,,,,,,, +629,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,,255.0,44.0,13.0,57.0,35.0,1734.0,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,22,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",236.0,225.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,1368.0,1368.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,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 13:53:52.000,2023-07-18 11:41:11.000000,2022-01-30 01:22:30,743.0,,209.0,39.0,111.0,54.0,42.0,1681.0,"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'],144.0,136.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,8.0,1624.0,3955.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,201631.0,,,,,3.0,397.0,,,,,,,,,,,,,,,,,,, +631,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-10-10 14:54:36.000000,2023-10-10 14:54:36,1071.0,3.0,252.0,33.0,35.0,21.0,167.0,1626.0,A library for graph deep learning research.,48.0,22,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,347.0,347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +632,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,,311.0,98.0,45.0,187.0,216.0,1625.0,[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 01:13:03.000,7.0,587.0,587.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,, +633,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2023-07-06 22:00:38.000000,2022-10-17 19:34:56,1930.0,,288.0,46.0,801.0,69.0,485.0,1563.0,jiant is an nlp toolkit.,60.0,22,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,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +634,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-06-16 19:17:34.578000,2023-03-23 14:35:34,422.0,,281.0,74.0,728.0,53.0,64.0,1562.0,An end-to-end PyTorch framework for image and video classification.,77.0,22,True,2023-03-21 05:24:19.000,0.7.0,18.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2023-03-21 05:15:00.935,4.0,2323.0,2732.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,18427.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +635,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2023-08-06 18:20:04.000000,2020-08-25 09:26:27,1121.0,,270.0,67.0,51.0,23.0,75.0,1442.0,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,,,,,35.0,35.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,840.0,840.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +636,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-10-17 15:42:35.000000,2023-10-17 15:42:30,833.0,5.0,327.0,51.0,791.0,2.0,300.0,1189.0,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,60.0,22,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2017-06-12 16:32:29.000,2.0,397.0,397.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,, +637,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,,217.0,66.0,29.0,31.0,12.0,1125.0,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,91.0,76.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,10170.0,10170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +638,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-09-28 10:42:22.000000,2023-08-31 05:25:00,181.0,8.0,103.0,37.0,24.0,15.0,109.0,1124.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2023-08-31 05:32:10.000,2.1.3,76.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2022-09-21 23:07:01.601,8.0,6526.0,6526.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +639,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-09-05 07:31:03.000000,2023-08-18 11:01:23,442.0,1.0,203.0,54.0,83.0,60.0,204.0,1000.0,Line based ATR Engine based on OCRopy.,20.0,22,True,2023-08-18 11:50:18.000,1.0.6,40.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,1680.0,1680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +640,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,,108.0,50.0,98.0,38.0,51.0,995.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:27:53.000,0.3.1,7.0,tf-explain,,,,['tensorflow'],197.0,197.0,https://pypi.org/project/tf-explain,,,1994.0,1994.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +641,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2023-06-16 13:21:24.079000,2022-12-12 08:52:31,580.0,,281.0,95.0,120.0,62.0,95.0,952.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],36.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,36.0,1047.0,1600.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,40955.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +642,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 20:26:10.000,2023-10-11 00:13:45.000000,2023-04-27 23:44:02,329.0,,154.0,29.0,108.0,80.0,56.0,843.0,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 17:42:30.000,4.0,3765.0,56266.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2063688.0,,,,,3.0,,,wit-widget,https://www.npmjs.com/package/wit-widget,909.0,,2021-10-12 17:42:50.869,1.0,,,,,,,,,,,, +643,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,,99.0,29.0,59.0,20.0,74.0,806.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,337.0,333.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,4.0,4866.0,4866.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +644,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,,73.0,6.0,5.0,4.0,23.0,798.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],376.0,364.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,12.0,96467.0,96467.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +645,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,,74.0,26.0,37.0,25.0,21.0,736.0,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 01:19:50.000,23.0,65619.0,65619.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +646,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2023-06-16 19:26:00.374000,2019-10-30 09:27:48,189.0,,81.0,21.0,12.0,,38.0,677.0,Python package for stacking (machine learning technique).,1.0,22,False,2019-08-12 16:09:01.000,0.4.0,6.0,vecstack,conda-forge/vecstack,,,,353.0,347.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,6.0,19529.0,19590.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1773.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +647,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-10-15 01:04:16.000000,2023-10-10 03:38:42,486.0,16.0,92.0,31.0,548.0,197.0,241.0,609.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,22,True,2023-09-26 13:51:42.000,23.09.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,4569.0,4569.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +648,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2023-06-16 19:24:00.330000,2022-04-22 06:33:31,188.0,,112.0,27.0,23.0,57.0,35.0,588.0,a distributed Hyperband implementation on Steroids.,11.0,22,False,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,401.0,379.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,22.0,31164.0,31617.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,15410.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,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,,129.0,23.0,18.0,8.0,29.0,574.0,Code to compute permutation and drop-column importances in Python scikit-learn models.,14.0,22,False,2021-01-28 23:23:17.000,1.3.7,22.0,rfpimp,,,,['sklearn'],139.0,134.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,28248.0,28248.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2023-06-16 19:26:34.899000,2022-11-17 11:12:46,327.0,,131.0,19.0,32.0,14.0,70.0,507.0,Medical image processing in Python.,16.0,22,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1516.0,1472.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,44.0,13780.0,14486.0,https://anaconda.org/conda-forge/medpy,2023-06-16 19:26:34.899,19782.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +651,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 08:06:41.000,2023-10-03 20:14:08.000000,2023-08-19 18:28:43,446.0,20.0,52.0,25.0,7.0,10.0,31.0,496.0,Active Learning for Text Classification in Python.,4.0,22,True,2023-08-19 18:16:36.000,1.3.2,19.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",21.0,21.0,https://pypi.org/project/small-text,2023-08-19 18:14:35.000,,342.0,644.0,https://anaconda.org/conda-forge/small-text,2023-08-19 18:38:17.816,4538.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2023-10-06 11:08:34.000000,2023-10-06 11:07:49,280.0,2.0,75.0,7.0,8.0,3.0,69.0,478.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,9.0,22,True,2023-10-05 12:12:56.000,0.3.3,145.0,featurewiz,,,,,55.0,53.0,https://pypi.org/project/featurewiz,2023-10-05 12:12:56.000,2.0,8687.0,8687.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +653,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-08-01 17:51:43.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,222.0,15.0,40.0,473.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,22,True,2023-07-18 10:32:00.587,1.4.6,36.0,popmon,,,,"['pandas', 'spark']",22.0,20.0,https://pypi.org/project/popmon,2023-07-18 10:32:00.587,2.0,8191.0,8193.0,,,,,,,,3.0,117.0,,,,,,,,,,,,,,,,,,, +654,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/google-deepmind/launchpad,https://github.com/google-deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-08-22 08:22:46.000000,2023-08-22 08:22:26,367.0,4.0,33.0,18.0,6.0,17.0,21.0,302.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,22,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],71.0,70.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,2443.0,2443.0,,,,,,,,3.0,,,,,,,,,google-deepmind/launchpad,,,,,,,,,,, +655,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,,26.0,7.0,18.0,3.0,9.0,152.0,Get list of common stop words in various languages in Python.,8.0,22,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2155.0,2003.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,152.0,110318.0,110318.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +656,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-09-18 17:43:15.000000,2023-02-07 10:12:31,47.0,,2077.0,148.0,87.0,225.0,284.0,11858.0,End-to-End Object Detection with Transformers.,26.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],19.0,19.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +657,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-06-18 08:40:31.986000,2023-02-15 20:15:59,196.0,,493.0,82.0,36.0,51.0,26.0,10388.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,21,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,36.0,36.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,920.0,1019.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2098.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +658,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,,323.0,76.0,37.0,95.0,74.0,4391.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,21,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,,130.0,130.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +659,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2023-10-03 18:02:27.000000,2022-02-10 07:36:23,432.0,,475.0,88.0,180.0,108.0,161.0,3493.0,A high performance and generic framework for distributed DNN training.,21.0,21,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,,33.0,58.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1315.0,3.0,,,,,,,,,,,,,,,,,,,, +660,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2023-08-30 07:47:40.000000,2023-08-30 07:47:36,119.0,3.0,357.0,99.0,16.0,53.0,17.0,3339.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,21,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,137.0,130.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,881.0,881.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,,2018-10-01 20:41:16.000,2023-08-25 23:29:22.000000,2023-08-25 22:31:20,169.0,2.0,431.0,91.0,78.0,57.0,137.0,3295.0,Generate embeddings from large-scale graph-structured data.,30.0,21,False,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],,,https://pypi.org/project/torchbiggraph,,,315145.0,315148.0,,,,,,,,3.0,163.0,,,,,-3.0,,,,,,,,,,,,,, +662,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-10-12 08:54:08.000000,2023-04-02 02:43:29,2583.0,,1039.0,132.0,1013.0,53.0,72.0,2987.0,a distributed deep learning platform.,81.0,21,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,2.0,2.0,,,,,48.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,714.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,4101.0,3.0,,,,,,,,,,,,,,,,,,,, +663,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,,358.0,86.0,4.0,3.0,18.0,2107.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,47.0,46.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,1.0,238.0,238.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2023-07-27 13:04:26.000000,2023-07-27 13:04:12,336.0,8.0,337.0,42.0,68.0,159.0,95.0,1817.0,Super easy library for BERT based NLP models.,36.0,21,True,2023-07-27 13:04:26.000,2.0.17,66.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2023-07-27 13:04:26.000,2.0,1075.0,1075.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +665,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2023-09-01 04:00:40.000000,2023-08-10 17:09:47,309.0,5.0,145.0,24.0,30.0,26.0,31.0,1799.0,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",11.0,21,True,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],27.0,26.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,472.0,658.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4074.0,,,,,3.0,67.0,,,,,,,,,,,,,,,,,,, +666,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,,193.0,30.0,423.0,11.0,163.0,1627.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,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,,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-10-11 20:58:29.000000,2020-12-17 06:57:15,932.0,,295.0,67.0,201.0,5.0,74.0,1558.0,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,2020-03-27 04:46:19.000,,12.0,259.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13111.0,3.0,,,,,,,,,,,,,,,,,,,, +668,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2023-10-11 21:55:10.000000,2023-10-11 21:55:10,364.0,7.0,132.0,18.0,63.0,17.0,30.0,1499.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,15.0,21,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,501.0,501.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +669,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,,357.0,63.0,47.0,37.0,72.0,1474.0,"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'],32.0,32.0,https://pypi.org/project/anago,,,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +670,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-08-26 11:12:46.000000,2023-08-12 13:23:12,1192.0,2.0,92.0,31.0,138.0,65.0,128.0,1278.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",22.0,21,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,7.0,7.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,156.0,168.0,,,,,,,,3.0,473.0,,,,,,,,,,,,,,,,,,, +671,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,,220.0,65.0,48.0,36.0,90.0,1243.0,A TensorFlow recommendation algorithm and framework in Python.,9.0,21,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],36.0,33.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,296.0,296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2023-07-16 15:34:00.704000,2023-07-16 15:16:10,420.0,,144.0,97.0,117.0,33.0,45.0,1084.0,PFRL: a PyTorch-based deep reinforcement learning library.,19.0,21,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,93.0,92.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,385.0,385.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +673,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,,243.0,47.0,45.0,25.0,127.0,957.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,False,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],26.0,26.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,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,,133.0,36.0,16.0,8.0,3.0,917.0,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3552.0,3540.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,12.0,1675.0,1675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +675,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2023-07-24 18:18:54.000000,2022-05-13 18:48:12,83.0,,181.0,24.0,58.0,8.0,27.0,905.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,21,False,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,,['tensorflow'],73.0,69.0,https://pypi.org/project/saliency,2022-06-14 18:11:08.000,4.0,3824.0,3824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +676,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,,146.0,23.0,45.0,14.0,82.0,899.0,kapre: Keras Audio Preprocessors.,13.0,21,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2321.0,2307.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,14.0,876.0,876.0,,,,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +677,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-06-10 14:57:37.569000,2023-06-05 01:35:02,228.0,,126.0,17.0,24.0,26.0,39.0,784.0,python partial dependence plot toolbox.,7.0,21,True,2023-06-05 02:53:01.145,0.3.0,4.0,pdpbox,conda-forge/pdpbox,,,,26.0,,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,24903.0,25277.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,19122.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +678,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-10-03 19:59:49.000000,2023-08-29 06:49:30,294.0,3.0,58.0,24.0,47.0,10.0,17.0,704.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,21,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],14.0,12.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,2.0,452.0,1505.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,21061.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +679,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-10-18 07:58:23.867000,2023-10-11 13:01:19,594.0,3.0,121.0,16.0,53.0,22.0,119.0,703.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,32.0,21,True,2023-10-12 06:54:28.000,1.6.3,32.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],,,https://pypi.org/project/torch-cluster,,,10768.0,12722.0,https://anaconda.org/conda-forge/pytorch_cluster,2023-10-18 07:58:23.867,80152.0,,,,,3.0,,,,,,-3.0,,,,,,,,,,,,,, +680,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,,68.0,28.0,422.0,10.0,237.0,628.0,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'],88.0,84.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000,4.0,188.0,188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +681,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,,57.0,19.0,216.0,49.0,288.0,582.0,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,False,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,55.0,54.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,468.0,468.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +682,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2023-10-19 15:08:53.000000,2023-08-20 23:36:18,861.0,1.0,97.0,44.0,70.0,42.0,23.0,574.0,Bias and Fairness Audit Toolkit.,18.0,21,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,148.0,142.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000,6.0,1532.0,1532.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +683,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 09:01:18.000000,2022-08-27 09:00:35,283.0,,64.0,30.0,31.0,5.0,24.0,556.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,47.0,45.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1190.0,1190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-10-17 21:02:47.000000,2023-10-04 12:31:54,297.0,5.0,97.0,15.0,49.0,13.0,15.0,533.0,A library of metrics for evaluating recommender systems.,20.0,21,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,45.0,45.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,10896.0,10896.0,,,,,,,,3.0,5.0,,,,,,,,,,,,,,,,,,, +685,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2023-06-16 16:14:43.440000,2021-12-19 09:41:43,133.0,,51.0,11.0,20.0,11.0,37.0,503.0,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,,,,322.0,313.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,16255.0,16665.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,22574.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,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 10:59:08.000,2023-06-04 11:48:19.000000,2023-03-05 00:16:57,419.0,,96.0,35.0,276.0,68.0,172.0,437.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,21,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,73.0,71.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1250.0,1253.0,,,,,,,,3.0,290.0,,,,,,,,,,,,,,,,,,, +687,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,GPL-3.0,2021-03-18 15:04:58.000,2023-10-18 12:56:42.000000,2023-08-29 07:01:44,1555.0,15.0,56.0,6.0,185.0,39.0,75.0,421.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,18.0,21,False,2023-08-10 10:58:42.000,0.4.3,21.0,quantus,,,,,18.0,17.0,https://pypi.org/project/quantus,2023-08-10 10:58:42.000,1.0,360.0,366.0,,,,,,,,3.0,135.0,,,,,,,,,,,,,,,,,,, +688,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,,78.0,24.0,11.0,48.0,49.0,411.0,optimization routines for hyperparameter tuning.,9.0,21,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,120.0,106.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,5099.0,5099.0,,,,,,,,3.0,77.0,,,,,,,,,,,,,,,,,,, +689,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2023-10-13 17:36:36.000000,2023-10-02 23:15:57,5566.0,40.0,87.0,14.0,731.0,33.0,425.0,384.0,Lightwood is Legos for Machine Learning.,40.0,21,False,2023-08-07 15:55:40.000,23.8.1.0,200.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,2023-08-07 15:56:06.000,2.0,3703.0,3703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-10-01 02:15:36.000000,2023-10-01 02:13:38,646.0,7.0,60.0,29.0,414.0,11.0,91.0,363.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,21,True,2023-07-18 13:09:18.000,4.0.0,28.0,vega,conda-forge/vega,,,['jupyter'],2.0,2.0,https://pypi.org/project/vega,,,13442.0,19911.0,https://anaconda.org/conda-forge/vega,2023-06-16 13:18:03.216,569345.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,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,,47.0,10.0,37.0,28.0,37.0,341.0,Data imputations library to preprocess datasets with missing data.,11.0,21,False,2019-04-29 02:33:05.659,0.0.8,8.0,impyute,,,,,207.0,203.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,4.0,3818.0,3818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +692,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-08-30 14:32:48.000000,2023-08-27 21:31:43,511.0,1.0,37.0,5.0,12.0,5.0,45.0,299.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,12.0,21,False,2022-05-07 07:58:05.000,0.7.0,22.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],24.0,,https://pypi.org/project/scikit-posthocs,2022-05-07 07:58:05.000,24.0,73968.0,98790.0,https://anaconda.org/conda-forge/scikit-posthocs,2023-06-16 19:23:09.531,893606.0,,,,,3.0,37.0,,,,,,,,,,,,,,,,,,, +693,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2023-06-16 19:26:58.237000,2022-12-12 14:53:36,244.0,,25.0,8.0,4.0,23.0,54.0,263.0,Multiple Imputation with LightGBM in Python.,6.0,21,False,2022-12-12 15:14:00.508,5.6.3,44.0,miceforest,conda-forge/miceforest,,,,95.0,93.0,https://pypi.org/project/miceforest,2022-04-15 14:53:33.000,2.0,26141.0,26551.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,11079.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +694,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2023-10-13 23:30:32.439000,2022-09-26 07:14:12,621.0,,65.0,27.0,29.0,30.0,113.0,253.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,12.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,12.0,2021.0,4309.0,https://anaconda.org/conda-forge/somoclu,2023-10-13 23:30:32.439,81773.0,,,,,3.0,1809.0,,,,,,,,,,,,,,,,,,, +695,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 15:02:43.000,2023-10-18 07:16:12.000000,2023-10-18 07:16:11,576.0,10.0,33.0,25.0,629.0,21.0,126.0,229.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,21,False,2023-08-10 10:30:37.000,0.13.0,20.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-08-10 10:30:37.000,,1049.0,1071.0,,,,,,,,3.0,973.0,,,,,,,,,,,,,,,,,,, +696,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-08-31 18:37:21.000000,2023-08-31 18:34:42,577.0,2.0,19.0,19.0,464.0,90.0,76.0,224.0,Functional tensors for probabilistic programming.,11.0,21,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],58.0,55.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,3.0,14208.0,14208.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +697,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 16:09:50.000,2023-10-06 13:06:28.000000,2023-08-15 07:38:22,956.0,2.0,532.0,167.0,45.0,36.0,28.0,4038.0,High-performance TensorFlow library for quantitative finance.,47.0,20,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,402.0,402.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,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,,482.0,216.0,16.0,24.0,4.0,3203.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,20,True,2023-04-26 19:36:36.846,0.11.12,13.0,finmarketpy,,,,,10.0,10.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000,,128.0,128.0,,,,,,,,3.0,47.0,,,,,,,,,,,,,,,,,,, +699,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-05-16 10:47:48.000000,2023-05-10 04:35:39,269.0,,305.0,61.0,242.0,169.0,109.0,2948.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,17.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,1674.0,1688.0,,,,,,,,3.0,669.0,,,,,,,,,,,,,,,,,,, +700,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,,443.0,168.0,120.0,14.0,112.0,2917.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,20,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,,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +701,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2023-07-23 10:44:20.000000,2019-03-06 17:01:45,27.0,,327.0,75.0,2.0,18.0,7.0,2902.0,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'],187.0,179.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,8.0,1669.0,1669.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-10-18 01:38:32.000000,2021-05-06 12:10:38,127.0,,148.0,50.0,53.0,2.0,30.0,2889.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,20,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,46.0,46.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,40.0,103.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1325.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,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,,322.0,101.0,999.0,87.0,260.0,2813.0,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,20,False,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2023-10-11 16:38:54.000000,2021-06-15 18:41:51,22.0,,259.0,33.0,19.0,27.0,37.0,2788.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1356.0,1356.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +705,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,,448.0,128.0,225.0,87.0,183.0,2271.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,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 14:17:10.000,2.0,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +706,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2023-06-21 14:17:49.000000,2023-06-21 14:07:30,249.0,,252.0,54.0,35.0,14.0,105.0,1968.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,1885.0,1885.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +707,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2023-07-17 16:05:00.000000,2021-09-20 16:03:46,382.0,,235.0,45.0,33.0,48.0,90.0,1873.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,20,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],144.0,144.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +708,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2023-06-16 16:17:31.557000,2021-09-30 21:51:09,8208.0,,173.0,55.0,895.0,129.0,586.0,1855.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",49.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,20.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +709,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,,128.0,102.0,150.0,26.0,20.0,1548.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,20,False,2022-02-02 23:30:10.000,0.8.5,232.0,lore,,,,,21.0,20.0,https://pypi.org/project/lore,2022-02-02 23:30:10.000,1.0,709.0,709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,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,,157.0,46.0,3.0,13.0,15.0,1530.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:18:54.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],14.0,14.0,https://pypi.org/project/lambda-networks,,,3139.0,3139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2023-09-15 04:35:29.000000,2023-09-15 04:35:29,906.0,1.0,206.0,57.0,52.0,71.0,148.0,1502.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,35.0,20,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,329.0,361.0,,,,,,,,3.0,2689.0,,,,,,,,,,,,,,,,,,, +712,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,,401.0,102.0,36.0,11.0,24.0,1398.0,Deep Learning Toolkit for Medical Image Analysis.,9.0,20,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],31.0,31.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +713,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,,101.0,41.0,13.0,14.0,9.0,1262.0,Detect text blocks and OCR poorly scanned PDFs in bulk. Python module available via pip.,5.0,20,False,2016-09-06 21:59:21.000,0.2.4,5.0,doc2text,,,,,104.0,103.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,1.0,3249.0,3249.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +714,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-06-16 19:27:46.249000,2022-08-31 13:13:15,103.0,,77.0,39.0,14.0,12.0,26.0,1231.0,A Graph Neural Network Library in Jax.,17.0,20,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],111.0,105.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,6.0,6614.0,6768.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,3719.0,,,,,3.0,,,,,,,,,google-deepmind/jraph,,,,,,,,,,, +715,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,,184.0,52.0,12.0,16.0,42.0,1010.0,High level network definitions with pre-trained weights in TensorFlow.,6.0,20,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],71.0,67.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +716,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2023-09-12 16:10:40.000000,2020-04-17 02:27:44,79.0,,130.0,26.0,74.0,41.0,36.0,970.0,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,20,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 02:18:00.000,2.0,267023.0,267197.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,7511.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +717,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-09-04 22:14:55.000000,2023-09-04 22:14:55,303.0,2.0,86.0,18.0,72.0,18.0,42.0,902.0,Audio processing by using pytorch 1D convolution network.,15.0,20,True,2022-10-09 13:50:13.300,0.3.2,39.0,nnAudio,,,,,134.0,131.0,https://pypi.org/project/nnAudio,2021-12-24 09:38:22.000,3.0,4683.0,4683.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,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,,153.0,38.0,46.0,39.0,49.0,758.0,Public facing deeplift repo.,11.0,20,False,,,21.0,deeplift,,,,,85.0,85.0,https://pypi.org/project/deeplift,,,435.0,435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +719,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,,158.0,76.0,98.0,51.0,43.0,753.0,[DEPRECATED] Tensorflow wrapper for DataFrames on Apache Spark.,16.0,20,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 14:20:28.000,1.0,29048.0,29048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,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,,146.0,38.0,33.0,25.0,39.0,746.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",19.0,20,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,107.0,91.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,675.0,675.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +721,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2023-07-02 20:27:29.000000,2021-07-30 15:06:27,104.0,,127.0,30.0,28.0,21.0,34.0,739.0,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,20,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],44.0,42.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,483.0,483.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +722,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2023-07-18 10:50:27.000000,2021-02-28 18:33:06,37.0,,137.0,25.0,19.0,20.0,4.0,729.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,20,False,,,1.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],532.0,532.0,https://pypi.org/project/treeinterpreter,,,79246.0,79393.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,5294.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +723,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,,104.0,30.0,1.0,13.0,3.0,627.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,20,True,2020-02-19 02:11:55.000,V0.1.0,1.0,combo,,,,"['sklearn', 'xgboost']",580.0,580.0,https://pypi.org/project/combo,,,72330.0,72330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,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,,,,,206.0,154.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,52.0,4976.0,4976.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +725,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2023-07-28 19:05:13.000000,2022-02-09 16:35:40,142.0,,105.0,24.0,25.0,43.0,61.0,601.0,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'],151.0,149.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1542.0,1657.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3230.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +726,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2023-06-16 16:12:33.889000,2022-06-08 03:46:02,305.0,,102.0,10.0,14.0,5.0,16.0,562.0,Make Waffle Charts in Python.,6.0,20,False,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,282.0,279.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,3.0,4264.0,4452.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,10932.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +727,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2023-07-09 16:15:44.000000,2023-07-09 16:09:49,767.0,,62.0,18.0,111.0,8.0,47.0,552.0,A simplified framework and utilities for PyTorch.,20.0,20,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],127.0,122.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,6165.0,6165.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,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,,164.0,56.0,20.0,39.0,60.0,535.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,31.0,26.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +729,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,,51.0,60.0,8.0,20.0,24.0,500.0,Python library assists deep learning on graphs.,17.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,69.0,68.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,461.0,461.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,, +730,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-09-06 11:08:57.000000,2021-11-18 21:06:54,172.0,,46.0,10.0,9.0,12.0,20.0,480.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2020-09-28 07:19:15.000,0.6.0,13.0,apricot-select,,,,,83.0,75.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000,8.0,4794.0,4794.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,, +731,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,,94.0,26.0,6.0,4.0,25.0,469.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,20,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 23:08:15.000,2.0,1094.0,1094.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-10-04 01:35:07.000000,2023-09-04 05:41:43,372.0,1.0,97.0,29.0,21.0,37.0,10.0,464.0,A python library for Bayesian time series modeling.,6.0,20,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,34.0,32.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,32949.0,32949.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2023-10-17 12:40:20.000000,2023-10-04 16:30:02,2724.0,85.0,57.0,12.0,244.0,9.0,104.0,402.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,20,True,2023-07-13 11:41:03.541,0.1.2,12.0,pykale,,,,['pytorch'],1.0,1.0,https://pypi.org/project/pykale,2022-04-12 08:56:50.000,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2023-10-17 14:20:30.000000,2023-10-16 01:42:42,4708.0,11.0,37.0,13.0,1.0,2.0,80.0,398.0,Deep Learning PyTorch.,1.0,20,True,2023-10-17 14:20:30.000,0.4.8,102.0,carefree-learn,,,,['pytorch'],4.0,4.0,https://pypi.org/project/carefree-learn,2023-10-17 14:20:30.000,,453.0,453.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +735,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-06-16 16:08:23.527000,2021-02-15 17:10:59,283.0,,69.0,25.0,48.0,15.0,19.0,385.0,"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'],46.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,46.0,3679.0,4135.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,31526.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-09-06 17:29:29.000000,2023-09-06 17:29:29,2412.0,2.0,52.0,24.0,231.0,57.0,195.0,376.0,Studio: Simplify and expedite model building process.,24.0,20,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,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,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,,26.0,10.0,9.0,2.0,9.0,374.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,20,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],695.0,689.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,151501.0,151501.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-07-21 09:15:54.000000,2023-02-01 10:38:52,3728.0,,60.0,27.0,110.0,32.0,184.0,353.0,scalable audio processing framework and server written in Python.,22.0,20,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 09:33:19.000,14.0,86.0,86.0,,,,,,,,3.0,,,,,,,,,yomguy/TimeSide,,,,,,,,,,, +739,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,,46.0,26.0,19.0,15.0,16.0,325.0,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'],226.0,219.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,7.0,6085.0,6085.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,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,,56.0,26.0,41.0,8.0,10.0,286.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,20,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",18.0,16.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,236120.0,236120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-10-13 13:24:59.000000,2023-10-13 13:24:59,602.0,24.0,10.0,22.0,283.0,39.0,69.0,270.0,Serverside scaling for Vega and Altair visualizations.,3.0,20,False,2023-09-28 13:24:51.000,1.4.1,57.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,2.0,,https://pypi.org/project/vegafusion-jupyter,2023-09-28 13:11:11.000,1.0,382.0,4947.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-09-29 14:18:22.081,76439.0,,,,,3.0,4775.0,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,315.0,,2023-09-28 13:18:16.441,1.0,hex-inc/vegafusion,,,,,,,,,,, +742,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-10-19 08:59:46.000000,2023-10-18 15:28:28,402.0,21.0,73.0,23.0,417.0,29.0,51.0,259.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,20,False,2022-06-03 15:53:33.000,0.2.0,20.0,pipeline-dp,,,,,1.0,1.0,https://pypi.org/project/pipeline-dp,2023-10-18 15:31:40.000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-10-18 17:31:48.000000,2023-10-18 17:31:39,634.0,50.0,21.0,4.0,245.0,4.0,,253.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML pipeline from..,9.0,20,False,2023-10-17 06:25:01.000,1.1.211,502.0,upgini,,,,,2.0,2.0,https://pypi.org/project/upgini,2023-10-17 06:25:01.000,,4702.0,4702.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +744,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,,31.0,9.0,4.0,20.0,29.0,228.0,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,378.0,364.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,14.0,2733.0,2737.0,,,,,,,,3.0,365.0,,,,,,,,,,,,,,,,,,, +745,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2023-10-05 07:27:18.000000,2023-07-02 18:02:16,1462.0,,44.0,14.0,146.0,17.0,62.0,227.0,Python Implementation and Extension of RDF2Vec.,7.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,36.0,34.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,266.0,266.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,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,,23.0,8.0,11.0,5.0,9.0,209.0,A Python module to convert natural language numerics into ints and floats.,4.0,20,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,63.0,61.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,55502.0,55502.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +747,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-07-26 15:59:24.000000,2023-07-21 09:03:49,260.0,,31.0,12.0,197.0,21.0,73.0,183.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,20,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],28.0,27.0,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,1204.0,1204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-10-19 02:22:22.000000,2023-10-19 02:11:57,190.0,2.0,1089.0,99.0,47.0,358.0,276.0,5950.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,19,True,,,,pyslowfast,,,,['pytorch'],14.0,14.0,https://pypi.org/project/pyslowfast,,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +749,graph-nets,deepmind/graph_nets,graph,,https://github.com/google-deepmind/graph_nets,https://github.com/google-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,,773.0,224.0,25.0,7.0,122.0,5291.0,Build Graph Nets in Tensorflow.,11.0,19,True,,,,graph-nets,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/graph-nets,,,879.0,879.0,,,,,,,,3.0,,,,,,,,,google-deepmind/graph_nets,,,,,,,,,,, +750,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,,168.0,65.0,54.0,6.0,44.0,3064.0,"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 16:45:29.543,,29.0,30.0,,,,,,,,3.0,40.0,,,,,,,,,,,,,,,,,,, +751,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-10-18 20:39:04.000000,2023-10-18 18:30:18,627.0,51.0,346.0,36.0,749.0,149.0,104.0,2549.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,70.0,19,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +752,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2023-08-26 21:36:44.000000,2023-08-26 20:55:56,106.0,1.0,230.0,62.0,105.0,24.0,56.0,2083.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,19,True,2021-05-21 00:29:47.000,0.2,2.0,pycls,,,,['pytorch'],16.0,16.0,https://pypi.org/project/pycls,,,688.0,688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,203.0,28.0,61.0,47.0,60.0,1051.0,fastFM: A Library for Factorization Machines.,20.0,19,False,2017-11-22 16:13:16.000,0.2.11,10.0,fastfm,,,,,113.0,113.0,https://pypi.org/project/fastfm,,,442.0,447.0,,,,,,,,3.0,583.0,,,,,,,,,,,,,,,,,,, +754,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-10-16 21:11:23.000000,2023-07-19 02:39:43,450.0,,111.0,19.0,154.0,13.0,105.0,1049.0,A standard framework for modelling Deep Learning Models for tabular data.,16.0,19,True,2023-06-01 06:16:39.000,1.0.2,11.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2021-09-01 11:51:30.000,2.0,3860.0,3860.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +755,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 20:34:04.000000,2022-02-02 20:33:18,124.0,,140.0,17.0,11.0,41.0,43.0,997.0,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,19,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],104.0,99.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,6487.0,6487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-08-31 02:18:51.000000,2023-08-31 02:18:51,427.0,5.0,180.0,62.0,7.0,13.0,29.0,971.0,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",5.0,19,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,4.0,4.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +757,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,,144.0,15.0,24.0,58.0,69.0,840.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,85.0,84.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,375.0,375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +758,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2023-06-19 20:23:17.000000,2022-10-01 22:21:50,400.0,,225.0,31.0,38.0,39.0,20.0,803.0,An open source python library for scalable Bayesian optimisation.,13.0,19,True,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,37590.0,37590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,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,,100.0,26.0,48.0,19.0,35.0,719.0,A Python library for detecting patterns and anomalies in massive datasets using the Matrix Profile.,15.0,19,False,2019-08-08 01:24:38.000,0.0.9,9.0,matrixprofile-ts,,,,,23.0,21.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,287.0,287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,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 15:23:32.000,2023-09-01 17:23:43.000000,2023-05-17 01:16:05,274.0,,105.0,19.0,20.0,1.0,82.0,619.0,"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,,3903.0,3903.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +761,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-09-22 14:57:35.000000,2023-09-22 14:57:01,815.0,6.0,38.0,15.0,17.0,,20.0,578.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,19,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,15.0,15.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,255.0,255.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,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,,2018-02-18 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,,89.0,26.0,31.0,28.0,6.0,563.0,machine learning with logical rules in Python.,19.0,19,False,2020-12-11 09:37:02.000,1.0.1,1.0,skope-rules,,,,['sklearn'],320.0,320.0,https://pypi.org/project/skope-rules,,,59337.0,59337.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +763,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2023-06-27 16:54:16.000000,2023-06-27 16:54:13,266.0,,70.0,40.0,17.0,13.0,22.0,553.0,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,20.0,19,True,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,32.0,28.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,350.0,350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-08-12 16:28:59.000000,2023-08-12 16:28:59,266.0,1.0,104.0,19.0,56.0,27.0,20.0,458.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,19,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,60.0,52.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000,8.0,2979.0,2979.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +765,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 22:49:49.000,2023-07-14 19:31:30.000000,2023-06-18 21:56:30,277.0,,73.0,14.0,126.0,15.0,136.0,444.0,A Python library for dynamic classifier and ensemble selection.,16.0,19,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],46.0,44.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000,2.0,852.0,852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2023-10-13 05:08:46.000000,2023-10-13 05:07:33,152.0,62.0,20.0,6.0,41.0,,7.0,428.0,"Multi-Modal AI library for Multi-Lingual Text, Image, and Video Search, Recommendations, and other Vision-Language..",9.0,19,True,2023-10-13 05:08:46.000,0.4.8,24.0,uform,,,,['pytorch'],7.0,7.0,https://pypi.org/project/uform,2023-10-13 05:08:46.000,,897.0,897.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-10-01 09:55:27.000000,2023-10-01 09:55:27,362.0,1.0,95.0,18.0,3.0,5.0,27.0,415.0,"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,,,,,48.0,48.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,420.0,420.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-08-05 05:40:16.000000,2019-03-27 03:17:24,122.0,,107.0,71.0,7.0,15.0,19.0,413.0,semantic similarity framework for knowledge graph.,5.0,19,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,47.0,44.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,399.0,399.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,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 16:48:58.000,2023-07-26 12:05:00.000000,2023-07-26 12:04:59,273.0,1.0,79.0,20.0,247.0,10.0,23.0,388.0,A toolkit that streamlines and automates the generation of model cards.,22.0,19,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,22.0,21.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1398.0,1398.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,, +770,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2023-09-12 10:58:23.000000,2023-09-12 10:58:23,69.0,3.0,56.0,8.0,10.0,9.0,13.0,343.0,TextAugment: Text Augmentation Library.,8.0,19,True,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,68.0,64.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000,4.0,3548.0,3549.0,,,,,,,,3.0,61.0,,,,,,,,,,,,,,,,,,, +771,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2023-10-09 17:37:30.000000,2023-08-16 21:27:14,316.0,1.0,78.0,26.0,326.0,21.0,9.0,324.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,33.0,19,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,,4556.0,4556.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2023-07-06 22:38:10.000000,2023-01-26 17:04:18,400.0,,98.0,18.0,386.0,65.0,86.0,239.0,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,,46244.0,46357.0,https://anaconda.org/conda-forge/glow,2023-06-16 19:24:57.965,3636.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-10-10 10:19:53.000000,2023-09-26 05:25:06,416.0,16.0,46.0,13.0,71.0,9.0,32.0,216.0,Represent trained machine learning models as Pyomo optimization formulations.,16.0,19,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,7819.0,7819.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +774,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,,765.0,337.0,58.0,2.0,,6593.0,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,,56.0,63.0,,,,,,,,3.0,309.0,,,,,,,,,,,,,,,,,,, +775,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2023-10-13 19:46:00.000000,2020-04-18 19:15:25,24.0,,790.0,124.0,35.0,28.0,8.0,6389.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,18,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],30.0,28.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,684.0,684.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,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,,872.0,108.0,51.0,42.0,159.0,6105.0,Model parallel transformers in JAX and Haiku.,23.0,18,True,,,,,,,,['jax'],18.0,18.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2023-06-16 13:22:46.522000,2020-02-09 21:03:48,299.0,,412.0,110.0,83.0,67.0,48.0,2911.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,112.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8536.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +778,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,816.0,87.0,30.0,30.0,80.0,2592.0,DeepWalk - Deep Learning for Graphs.,10.0,18,False,2014-11-19 19:20:33.000,1.0.2,1.0,deepwalk,,,,,68.0,68.0,https://pypi.org/project/deepwalk,,,901.0,901.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,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,,71.0,23.0,1004.0,127.0,65.0,1630.0,Version control for machine learning.,17.0,18,False,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,1.0,,https://pypi.org/project/keepsake,2021-01-25 21:51:16.000,1.0,350.0,350.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +780,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,,203.0,38.0,6.0,14.0,33.0,1622.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,18,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],51.0,45.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +781,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-07-26 02:42:57.000000,2023-03-14 23:02:49,75.0,,162.0,24.0,18.0,13.0,29.0,1475.0,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,,,,,4.0,4.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,73.0,73.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +782,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,,250.0,57.0,65.0,8.0,31.0,1336.0,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,18,False,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,2.0,2.0,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2023-06-16 19:26:09.140000,2019-05-06 07:06:50,159.0,,166.0,56.0,14.0,27.0,19.0,1007.0,python toolbox for visualizing geographical data and making maps.,8.0,18,False,,,1.0,geoplotlib,conda-forge/geoplotlib,,,,163.0,163.0,https://pypi.org/project/geoplotlib,,,794.0,1055.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,7576.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +784,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2023-06-16 19:21:11.893000,2022-02-14 20:43:06,145.0,,157.0,18.0,41.0,21.0,59.0,838.0,"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.post2,10.0,robustness,conda-forge/robustness,,,,156.0,153.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,216.0,418.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,7683.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,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.,11.0,18,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 20:35:57.000,1.0,81.0,81.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2023-10-13 12:16:35.000000,2023-04-01 08:26:45,5080.0,,111.0,20.0,58.0,2.0,13.0,717.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,18,True,2021-10-13 21:04:12.000,2.0.8,119.0,caer,,,https://caer.rtfd.io,,2.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,2.0,2772.0,2772.0,,,,,,,,3.0,28.0,,,,,,,,,,,,,,,,,,, +787,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-09-21 18:53:21.000000,2023-09-21 18:53:18,1296.0,6.0,121.0,43.0,435.0,25.0,130.0,700.0,GPU accelerated signal processing.,46.0,18,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +788,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2023-10-01 08:59:57.840000,2021-04-11 07:50:00,405.0,,29.0,19.0,42.0,6.0,18.0,593.0,A graph-based functional API for building complex scikit-learn pipelines.,2.0,18,False,2020-11-15 13:40:18.000,0.4.2,15.0,baikal,conda-forge/cython-blis,,,,9.0,8.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,237.0,54055.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,1991278.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2023-10-03 22:41:56.000000,2021-09-16 17:56:31,171.0,,142.0,35.0,80.0,8.0,55.0,591.0,Code for the TCAV ML interpretability project.,19.0,18,False,2018-11-21 15:34:40.000,0.2,2.0,tcav,,,,['tensorflow'],18.0,18.0,https://pypi.org/project/tcav,,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +790,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,,137.0,59.0,72.0,18.0,71.0,523.0,"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,,,,,17.0,17.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2023-09-25 10:19:47.000000,2022-08-24 08:31:37,29.0,,62.0,6.0,4.0,2.0,26.0,493.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,18,False,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,16.0,15.0,https://pypi.org/project/shap-hypetune,2022-08-24 08:33:00.976,1.0,4297.0,4297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +792,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,,48.0,18.0,7.0,16.0,4.0,449.0,Topological Data Analysis for Python.,4.0,18,False,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],47.0,47.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,5101.0,5101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,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 23:19:05.000000,2021-11-25 23:08:43,204.0,,87.0,24.0,18.0,7.0,20.0,446.0,Case Recommender: A Flexible and Extensible Python Framework for Recommender Systems.,11.0,18,False,2021-11-25 23:19:05.000,1.1.1,42.0,caserecommender,,,,['sklearn'],12.0,12.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +794,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2023-06-16 16:14:07.121000,2020-10-05 06:14:18,178.0,,39.0,11.0,29.0,17.0,17.0,402.0,A python package for animating plots build on matplotlib.,7.0,18,False,2020-10-05 06:20:52.000,0.4.2,10.0,animatplot,conda-forge/animatplot,,,,56.0,54.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,2.0,253.0,474.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,12428.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-10-12 13:28:19.000000,2023-10-12 13:28:12,132.0,20.0,40.0,19.0,161.0,3.0,63.0,401.0,A collection of tools for neural compression enthusiasts.,9.0,18,True,2023-10-03 14:26:28.000,0.3.1,6.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2023-10-03 14:26:28.000,,258.0,258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,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,,51.0,11.0,60.0,17.0,41.0,324.0,"Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.",43.0,18,False,2020-07-31 05:29:09.000,1.0.7,8.0,parameter-sherpa,,,,,35.0,31.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,230.0,230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-10-18 13:42:15.000000,2023-10-04 14:18:48,810.0,19.0,21.0,7.0,68.0,26.0,18.0,321.0,Flexible time series feature extraction & processing.,6.0,18,True,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,9.0,9.0,https://pypi.org/project/tsflex,2022-10-11 21:38:11.312,,193.0,899.0,https://anaconda.org/conda-forge/tsflex,2023-06-16 19:26:46.251,19067.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-10-13 18:39:59.000000,2023-10-13 18:12:44,396.0,3.0,128.0,35.0,320.0,79.0,126.0,313.0,Brain Imaging Analysis Kit.,35.0,18,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,1.0,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,115.0,130.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1439.0,3.0,,,,,,,,,,,,,,,,,,,, +799,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,,73.0,19.0,93.0,25.0,18.0,308.0,"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 01:35:23.000,11.0,2573.0,2573.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,, +800,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,,39.0,12.0,60.0,3.0,56.0,305.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,18,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],32.0,30.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,184.0,184.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +801,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2023-07-17 13:39:53.000000,2022-07-12 07:44:31,366.0,,19.0,6.0,31.0,20.0,39.0,258.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,53.0,50.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,264.0,264.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,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 07:47:03.000,2023-07-28 07:11:13.000000,2019-03-06 20:41:09,5.0,,57.0,5.0,2.0,2.0,1.0,116.0,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,,,,8337.0,8165.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,172.0,243275.0,243311.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,982.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/google-deepmind/lab,https://github.com/google-deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,,1383.0,471.0,21.0,59.0,166.0,6920.0,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,,,,,,,,,google-deepmind/lab,,,,,,,,,,, +804,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,,390.0,101.0,54.0,55.0,48.0,2887.0,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,,,538.0,538.0,,,,,,,,3.0,,,,,,,,,rhsimplex/image-match,,,,,,,,,,, +805,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,,463.0,81.0,36.0,83.0,68.0,1673.0,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,17,False,2019-10-02 23:30:15.000,1.0.8,7.0,pyneuroner,,,,,,,https://pypi.org/project/pyneuroner,2019-10-02 23:30:15.000,,87.0,87.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +806,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,,258.0,52.0,13.0,20.0,13.0,1530.0,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,,40.0,63.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1683.0,3.0,,,,,,,,,,,,,,,,,,,, +807,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,,85.0,34.0,72.0,25.0,30.0,1089.0,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,17,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,,4335.0,4335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +808,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,,112.0,21.0,37.0,20.0,8.0,1037.0,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,65.0,64.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2023-06-16 19:27:38.210000,2022-04-07 20:49:56,235.0,,36.0,13.0,13.0,8.0,16.0,739.0,"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'],25.0,25.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2389.0,2499.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,2662.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +810,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,,55.0,13.0,10.0,26.0,17.0,719.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,33.0,33.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,3330.0,3330.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +811,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2023-09-26 02:55:16.000000,2023-09-26 02:55:09,610.0,2.0,87.0,25.0,4.0,36.0,42.0,675.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,11.0,17,True,2022-09-19 20:15:07.376,0.3.17,25.0,thundergbm,,,,,2.0,2.0,https://pypi.org/project/thundergbm,2022-09-19 20:15:07.376,,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,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,,65.0,19.0,21.0,29.0,50.0,670.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,53.0,53.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,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,,94.0,18.0,19.0,3.0,29.0,619.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,17,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,11.0,11.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,180.0,180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,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,,64.0,11.0,10.0,22.0,41.0,505.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,17,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,40.0,40.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1088.0,1088.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +815,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,,30.0,16.0,148.0,39.0,66.0,454.0,A High Level API for Deep Learning in JAX.,18.0,17,False,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,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +816,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,,29.0,11.0,121.0,31.0,150.0,345.0,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,,99.0,99.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,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,,17.0,6.0,217.0,4.0,26.0,341.0,Camphr - NLP libary for creating pipeline components.,8.0,17,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,2020-02-17 07:50:16.000,2.0,64.0,64.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +818,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,,66.0,28.0,57.0,29.0,32.0,288.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,17,False,2021-05-15 01:39:45.000,0.3.0,9.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,24.0,27.0,,,,,,,,3.0,147.0,,,,,,,,,,,,,,,,,,, +819,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2023-10-03 23:52:47.440000,2023-07-17 09:18:00,166.0,,39.0,20.0,2.0,10.0,7.0,277.0,Analyze Data with Pandas-based Networks. Documentation:.,2.0,17,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,,339.0,5061.0,https://anaconda.org/conda-forge/deepgraph,2023-10-03 23:52:47.440,170019.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +820,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,,24.0,11.0,8.0,1.0,10.0,234.0,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],13.0,13.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,1185.0,1185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2023-06-15 16:53:56.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,59.0,31.0,47.0,229.0,Scikit-learn compatible estimation of general graphical models.,7.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],15.0,12.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,3.0,63.0,63.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,Muda,bmcfee/muda,audio,,https://github.com/bmcfee/muda,https://github.com/bmcfee/muda,ISC,2014-11-07 21:21:22.000,2021-12-15 16:53:25.527000,2021-05-03 14:04:36,293.0,,33.0,14.0,36.0,8.0,44.0,223.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,23.0,21.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,57.0,57.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +823,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2023-10-03 10:26:05.000000,2023-04-22 13:39:45,369.0,,38.0,6.0,131.0,,35.0,219.0,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,17,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,1.0,,https://pypi.org/project/chitra,2021-06-19 15:04:46.000,1.0,290.0,418.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,2694.0,,,,,3.0,,,,,,,,,aniketmaurya/chitra,,,,,,,,,,, +824,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-10-17 09:00:28.000000,2023-10-11 14:26:25,827.0,16.0,17.0,8.0,170.0,14.0,20.0,147.0,Toolkit for developing and maintaining ML models.,14.0,17,False,2023-08-24 10:06:11.000,0.0.30,30.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2023-08-24 10:06:11.000,,2432.0,2432.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2023-07-06 21:55:15.000000,2023-01-03 11:24:22,166.0,,1028.0,119.0,24.0,10.0,352.0,4109.0,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,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,,539.0,178.0,110.0,54.0,149.0,3895.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +827,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,,996.0,60.0,12.0,43.0,25.0,3440.0,Implementation and experiments of graph embedding algorithms.,9.0,16,False,,,,,,,,['sklearn'],29.0,29.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +828,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2023-08-19 12:30:48.000000,2020-07-29 05:53:01,8.0,,560.0,141.0,28.0,217.0,102.0,2856.0,A distributed graph deep learning framework.,5.0,16,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,,,,,,,,,,,,,,,,,,,, +829,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,,165.0,61.0,10.0,26.0,6.0,1828.0,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,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,,33.0,33.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +830,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,,56.0,18.0,7.0,1.0,10.0,786.0,MADGRAD Optimization Method.,2.0,16,True,,,4.0,madgrad,,,,['pytorch'],63.0,62.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,2863.0,2863.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +831,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,,76.0,15.0,31.0,3.0,22.0,773.0,Leave One Feature Out Importance.,5.0,16,True,,,,lofo-importance,,,,,27.0,27.0,https://pypi.org/project/lofo-importance,,,1161.0,1161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,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,,110.0,27.0,10.0,24.0,51.0,761.0,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,False,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1809.0,1809.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +833,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,,100.0,26.0,101.0,37.0,84.0,704.0,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2021-02-16 11:34:12.211,3.0.0,16.0,hyperparameter-hunter,,,,,1.0,,https://pypi.org/project/hyperparameter-hunter,2018-06-14 02:21:57.000,1.0,51.0,57.0,,,,,,,,3.0,411.0,,,,,,,,,,,,,,,,,,, +834,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,,98.0,39.0,106.0,11.0,51.0,547.0,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,,72.0,75.0,,,,,,,,3.0,220.0,,,,,,,,vaticle/typedb-ml,,,,,,,,,,, +835,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2023-10-11 20:12:08.000000,2023-10-11 20:12:03,257.0,2.0,71.0,22.0,87.0,19.0,15.0,489.0,"Research workflows made easy, locally and in the Cloud.",10.0,16,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,1.0,1.0,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,32.0,32.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,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,,38.0,21.0,5.0,11.0,23.0,351.0,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 10:51:26.000,2.0,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +837,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2023-10-15 13:11:31.000000,2023-08-19 12:43:22,678.0,2.0,52.0,28.0,76.0,12.0,24.0,312.0,A Python implementation of active inference for Markov Decision Processes.,14.0,16,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,7.0,7.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,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,,27.0,22.0,239.0,15.0,25.0,299.0,Textpipe: clean and extract metadata from text.,29.0,16,False,,,,textpipe,,,,,8.0,8.0,https://pypi.org/project/textpipe,,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2023-09-27 23:13:07.000000,2020-06-02 21:10:26,51.0,,27.0,11.0,15.0,6.0,4.0,216.0,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],4.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,4.0,842.0,842.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +840,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,,28.0,5.0,4.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],26.0,26.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,3508.0,3508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +841,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-08-13 00:37:26.000000,2023-01-22 01:25:39,75.0,,20.0,5.0,2.0,15.0,23.0,183.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],10.0,10.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,220.0,220.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +842,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,,40.0,1.0,,,,164.0,Pytorch framework for doing deep learning on point clouds.,29.0,16,False,2021-04-30 09:00:22.000,1.3.0,14.0,torch-points3d,,,,['pytorch'],,,https://pypi.org/project/torch-points3d,2021-04-30 09:00:22.000,,576.0,576.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,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 09:49:59.000000,2018-11-23 09:47:34,69.0,,32.0,14.0,54.0,16.0,50.0,136.0,"Lightweight, Python library for fast and reproducible experimentation.",7.0,16,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,55.0,50.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,34.0,34.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,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,,423.0,143.0,72.0,12.0,53.0,2195.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,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,,109.0,57.0,34.0,22.0,13.0,1266.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,15,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,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 12:34:57.000,2023-10-04 00:38:12.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,20.0,42.0,85.0,1231.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,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,,143.0,18.0,11.0,25.0,18.0,1154.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,15,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],48.0,46.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2023-09-21 16:18:30.000000,2021-04-02 03:03:34,211.0,,210.0,40.0,40.0,57.0,34.0,1089.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-07-27 14:39:30.000000,2023-05-18 02:26:52,1358.0,,116.0,18.0,295.0,3.0,67.0,1030.0,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,15,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,,,,,,,,,,,,,,,,,,,, +850,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-10-19 09:13:09.000000,2022-12-30 06:04:33,733.0,,112.0,27.0,108.0,10.0,22.0,988.0,An autoML framework & toolkit for machine learning on graphs.,15.0,15,True,2022-12-30 06:11:04.000,0.4.0,4.0,auto-graph-learning,,,,['pytorch'],,,https://pypi.org/project/auto-graph-learning,2020-12-23 08:05:25.000,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,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,,140.0,45.0,5.0,3.0,7.0,942.0,XAI - An eXplainability toolbox for machine learning.,3.0,15,False,2021-10-30 06:35:19.000,0.1.0,1.0,xai,,,,,22.0,22.0,https://pypi.org/project/xai,,,139.0,139.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,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,,121.0,51.0,21.0,15.0,9.0,825.0,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,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,,196.0,43.0,667.0,28.0,27.0,805.0,Translate - a PyTorch Language Library.,88.0,15,False,,,,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2023-09-21 07:22:50.000000,2023-09-21 07:22:50,127.0,1.0,88.0,17.0,15.0,10.0,22.0,714.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,15,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],15.0,15.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,125.0,125.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +855,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,,39.0,26.0,4.0,4.0,2.0,667.0,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 05:27:17.000,2.0,22.0,22.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +856,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,,50.0,17.0,83.0,18.0,49.0,547.0,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,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,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,,87.0,21.0,18.0,22.0,2.0,496.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,10.0,10.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,156.0,156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,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,,84.0,37.0,47.0,5.0,12.0,402.0,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,,,,,3.0,2.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,16.0,16.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,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,,38.0,16.0,39.0,2.0,13.0,394.0,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,,126.0,126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,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,,18.0,14.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,,,9177.0,9177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,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,,11.0,7.0,2.0,1.0,5.0,160.0,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 18:44:34.000,2.0,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-07-25 21:26:27.000000,2023-03-31 15:44:32,231.0,,20.0,28.0,52.0,7.0,7.0,102.0,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,15,False,2023-03-31 16:09:03.477,1.3.1,10.0,collie,,,,['pytorch'],37.0,37.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,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,,814.0,77.0,34.0,106.0,59.0,3169.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2023-07-06 21:16:22.000000,2022-11-02 02:28:59,99.0,,483.0,67.0,26.0,4.0,97.0,1657.0,An Open-Source Package for Network Embedding (NE).,11.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2023-08-23 08:35:09.000000,2022-06-30 14:05:23,118.0,,172.0,38.0,10.0,13.0,3.0,1312.0,A web app to generate template code for machine learning.,3.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2023-10-10 14:33:54.000000,2023-10-10 14:33:48,72.0,1.0,57.0,17.0,58.0,7.0,9.0,437.0,"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,,,,,7.0,7.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,57.0,19.0,6.0,6.0,,384.0,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,,,,9.0,8.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,38.0,183.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,5688.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,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,,40.0,12.0,17.0,2.0,5.0,373.0,A PyTorch Graph Neural Network Library.,8.0,14,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,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2023-07-06 22:00:59.000000,2022-09-15 18:52:06,185.0,,49.0,10.0,14.0,12.0,17.0,366.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,14,False,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,603.0,603.0,,,,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,, +870,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,,15.0,11.0,6.0,9.0,6.0,299.0,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],25.0,25.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,106.0,106.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-06-07 20:12:03.000000,2020-12-16 17:41:37,312.0,,33.0,8.0,72.0,31.0,8.0,225.0,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,,40.0,40.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,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,,9.0,5.0,3.0,1.0,,125.0,Data Analysis Baseline Library.,23.0,14,False,2023-02-28 01:21:03.335,0.2.5,15.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2022-11-03 05:52:04.962,,1040.0,1040.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2022-12-20 03:03:28.000000,2022-11-03 07:32:51,114.0,,948.0,100.0,27.0,18.0,353.0,3543.0,An Open-Source Package for Knowledge Embedding (KE).,11.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2023-07-06 21:33:33.000000,2020-06-16 07:23:32,53.0,,476.0,110.0,12.0,39.0,8.0,2646.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,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,,73.0,46.0,4.0,1.0,,2362.0,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,13,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,,1315.0,1318.0,,,,,,,,3.0,49.0,,,,,,,,,,,,,,,,,,, +876,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2023-06-16 16:16:18.265000,2021-01-14 02:18:46,15.0,,147.0,32.0,,50.0,59.0,1164.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,False,,,4.0,,milagraph/graphvite,,,,,,,,,,93.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4677.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-05-29 18:33:56.000000,2023-05-29 18:33:56,62.0,,41.0,11.0,7.0,2.0,11.0,624.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,92.0,92.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2023-09-19 11:11:53.000000,2022-03-01 16:13:48,42.0,,51.0,16.0,3.0,2.0,1.0,516.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,13,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,,54.0,54.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2023-10-02 18:06:17.000000,2023-10-02 18:06:17,148.0,2.0,66.0,20.0,169.0,87.0,17.0,382.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,13,True,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,,36.0,36.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,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,,32.0,24.0,21.0,16.0,10.0,345.0,Interactive plotting for Pandas using Vega-Lite.,9.0,13,False,,,,pdvega,,,,,,,https://pypi.org/project/pdvega,,,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,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,,35.0,12.0,8.0,9.0,3.0,323.0,A Python package for time series augmentation.,4.0,13,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1026.0,1026.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,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,,19.0,12.0,57.0,3.0,20.0,292.0,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,,,58.0,58.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,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,,28.0,8.0,6.0,7.0,8.0,240.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,47.0,47.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,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,,11.0,16.0,14.0,5.0,4.0,239.0,"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,,,,,2.0,2.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +885,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2023-07-06 21:22:20.000000,2022-07-05 09:43:05,72.0,,26.0,8.0,16.0,4.0,6.0,190.0,Text vectorization tool to outperform TFIDF for classification tasks.,11.0,13,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,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +886,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-10-18 23:33:19.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1217.0,4.0,10.0,126.0,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,,15.0,26.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,,,,,,,,,,,,,,,,,,, +887,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,,33.0,14.0,18.0,27.0,16.0,116.0,A deep learning python package for neuroimaging data. Made by:.,6.0,13,False,2019-06-10 21:04:04.000,0.2.3,6.0,deepneuro,,,,,1.0,1.0,https://pypi.org/project/deepneuro,2019-06-10 21:04:04.000,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-09-28 07:27:14.000000,2023-08-07 12:45:03,300.0,8.0,7.0,8.0,122.0,11.0,6.0,98.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2023-06-28 12:19:42.000,0.2.6,8.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,,,2023-10-19 10:53:12.000000,,,,,,,,,,Supercharging Machine Learning.,,13,False,2023-10-17 09:29:17.000,3.34.0,264.0,comet_ml,comet_ml,,,,57.0,,https://pypi.org/project/comet_ml,2023-10-19 10:53:12.000,57.0,177882.0,177882.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2023-07-06 21:26:54.000000,2020-08-27 13:37:26,26.0,,395.0,64.0,6.0,62.0,17.0,1711.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,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,,304.0,87.0,11.0,12.0,6.0,1641.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2023-08-29 14:47:49.000000,2023-08-29 14:47:44,37.0,24.0,45.0,14.0,13.0,8.0,9.0,459.0,Library for Textless Spoken Language Processing.,8.0,12,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +893,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-08-27 14:21:13.000000,2022-11-21 12:12:41,1044.0,,11.0,6.0,26.0,1.0,2.0,248.0,Maze Applied Reinforcement Learning Framework.,3.0,12,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,2021-12-13 16:04:42.000,,31.0,38.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,,,,,,,,,,,,,,,,,,,, +894,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,,26.0,22.0,44.0,1.0,5.0,199.0,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,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,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,,2.0,4.0,116.0,Tools for training explainable models using attribution priors.,6.0,12,False,2021-03-16 17:47:18.000,1.0.0,4.0,attributionpriors,,,,"['tensorflow', 'pytorch']",4.0,4.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,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,,11.0,7.0,4.0,5.0,14.0,92.0,A spaCy wrapper for DBpedia Spotlight.,5.0,12,False,2023-03-08 10:33:19.000,0.2.6,11.0,spacy-dbpedia-spotlight,,,,['spacy'],,,https://pypi.org/project/spacy-dbpedia-spotlight,2022-10-07 09:58:11.751,,424.0,424.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +897,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2023-07-23 16:23:34.000000,2021-11-11 10:53:33,630.0,,11.0,14.0,26.0,4.0,13.0,85.0,"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,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +898,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,,8.0,7.0,4.0,14.0,18.0,83.0,"An intelligent, flexible grammar of machine learning.",3.0,12,False,2021-06-25 14:27:32.000,0.0.7,8.0,nylon-ai,,,,,,,https://pypi.org/project/nylon-ai,2021-06-25 14:27:32.000,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +899,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,,12.0,7.0,20.0,3.0,,49.0,Distributed machine learning made simple.,2.0,12,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,27.0,27.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +900,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2023-07-14 11:30:56.000000,2021-02-03 08:52:27,857.0,,2.0,3.0,3.0,7.0,6.0,31.0,nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.,3.0,12,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,,65.0,65.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +901,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,,416.0,96.0,17.0,48.0,15.0,3243.0,AutoML algorithms for model architecture search at scale.,1.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2023-05-25 14:45:47.000000,2020-07-05 21:56:58,116.0,,112.0,47.0,13.0,7.0,20.0,952.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +903,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,,143.0,40.0,7.0,15.0,14.0,909.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2023-09-21 17:36:41.000000,2023-09-21 17:36:39,208.0,1.0,13.0,13.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,11,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,,20.0,20.0,,,,,,,,3.0,,,,,,,,,genixpro/hypermax,,,,,,,,,,, +905,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,,75.0,18.0,5.0,2.0,12.0,510.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,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,,20.0,12.0,41.0,7.0,12.0,358.0,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,,,,,,,,,,,,,,,,,,,, +907,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,,41.0,17.0,7.0,2.0,13.0,231.0,Easy training and deployment of seq2seq models.,2.0,10,False,,,,headliner,,,,,4.0,4.0,https://pypi.org/project/headliner,,,61.0,61.0,,,,,,,,3.0,,,,,,-4.0,,,,,,,,,,,,,, +908,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,,24.0,17.0,51.0,11.0,1.0,128.0,Simple Distributed Deep Learning on TensorFlow.,11.0,10,False,,,2.0,autodist,,,,['tensorflow'],1.0,1.0,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,11.0,11.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +909,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,,,,,,,2.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,10,False,,,,sklearn-evaluation,,,,['sklearn'],,,https://pypi.org/project/sklearn-evaluation,,,36617.0,36617.0,,,,,,,,3.0,,,,,,-8.0,,,,,,,,,,,,,, +910,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,,2.0,136.0,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,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +911,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,,,43.0,,4.0,9,False,2021-04-22 15:15:27.000,0.0.12,10.0,bias-detector,,,,,1.0,1.0,https://pypi.org/project/bias-detector,,,18.0,18.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,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,,25.0,7.0,2.0,2.0,6.0,138.0,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,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,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,,4.0,6.0,,1.0,,52.0,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,,,,1.0,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,1.0,19.0,19.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +914,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,,,,12.0,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,,8.0,8.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,Skater,oracle/Skater,interpretability,,,{},,2020-07-05 18:35:27.012,2023-09-18 15:13:22.392000,,,,,,,,,,Python Library for Model Agnostic Interpretation.,,6,False,,,2.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,,,436.0,2028.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,62111.0,,,,,3.0,,,,,,-9.0,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index ecec2e87..868c50aa 100644 --- a/latest-changes.md +++ b/latest-changes.md @@ -2,29 +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._ -- PyTorch Geometric (πŸ₯‡38 Β· ⭐ 19K Β· πŸ“ˆ) - Graph Neural Network Library for PyTorch. MIT -- PyFlink (πŸ₯ˆ37 Β· ⭐ 22K Β· πŸ“ˆ) - Apache Flink Python API. Apache-2 -- glfw (πŸ₯ˆ35 Β· ⭐ 11K Β· πŸ“ˆ) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib -- torchaudio (πŸ₯‡35 Β· ⭐ 2.2K Β· πŸ“ˆ) - Data manipulation and transformation for audio signal.. BSD-2 -- datalad (πŸ₯ˆ30 Β· ⭐ 460 Β· πŸ“ˆ) - Keep code, data, containers under control with git and git-annex. MIT -- EfficientNet-PyTorch (πŸ₯ˆ27 Β· ⭐ 7.5K Β· πŸ’€) - A PyTorch implementation of EfficientNet and.. Apache-2 -- pygal (πŸ₯ˆ27 Β· ⭐ 2.6K Β· πŸ“ˆ) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 -- Feature Engine (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - Feature engineering package with sklearn like functionality. BSD-3 -- torch-cluster (πŸ₯ˆ24 Β· ⭐ 700 Β· πŸ“ˆ) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- CometML (πŸ₯‰13 Β· πŸ“ˆ) - Supercharging Machine Learning. ❗Unlicensed +- torchvision (πŸ₯‡42 Β· ⭐ 15K Β· πŸ“ˆ) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +- Theano (πŸ₯ˆ38 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define, optimize, and.. BSD-3 +- PyQtGraph (πŸ₯ˆ35 Β· ⭐ 3.4K Β· πŸ“ˆ) - Fast data visualization and GUI tools for scientific / engineering.. MIT +- opencv-python (πŸ₯ˆ33 Β· ⭐ 3.8K Β· πŸ“ˆ) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +- igraph (πŸ₯‡32 Β· ⭐ 1.2K Β· πŸ“ˆ) - Python interface for igraph. ❗️GPL-2.0 +- CNTK (πŸ₯‰30 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT +- langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- Augmentor (πŸ₯‰27 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT +- polyglot (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 +- eli5 (πŸ₯ˆ26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT ## 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₯‡38 Β· ⭐ 15K Β· πŸ“‰) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- Theano (πŸ₯ˆ34 Β· ⭐ 9.8K Β· πŸ’€) - Theano was a Python library that allows you to define,.. ❗Unlicensed -- InsightFace (πŸ₯ˆ33 Β· ⭐ 18K Β· πŸ“‰) - State-of-the-art 2D and 3D Face Analysis Project. ❗Unlicensed -- HoloViews (πŸ₯ˆ31 Β· ⭐ 2.5K Β· πŸ“‰) - With Holoviews, your data visualizes itself. BSD-3 -- Tesseract (πŸ₯ˆ29 Β· ⭐ 5.1K Β· πŸ“‰) - Python-tesseract is an optical character recognition (OCR).. Apache-2 -- igraph (πŸ₯ˆ28 Β· ⭐ 1.2K Β· πŸ“‰) - Python interface for igraph. ❗️GPL-2.0 -- opencv-python (πŸ₯‰27 Β· ⭐ 3.8K Β· πŸ“‰) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- CNTK (πŸ₯‰26 Β· ⭐ 17K Β· πŸ’€) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning.. ❗Unlicensed -- langid (πŸ₯‰24 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. ❗Unlicensed -- eli5 (πŸ₯‰22 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT +- PyTorch Geometric (πŸ₯‡35 Β· ⭐ 19K Β· πŸ“‰) - Graph Neural Network Library for PyTorch. MIT +- UMAP (πŸ₯ˆ30 Β· ⭐ 6.5K Β· πŸ“‰) - Uniform Manifold Approximation and Projection. BSD-3 +- aim (πŸ₯ˆ30 Β· ⭐ 4.3K Β· πŸ“‰) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 +- geopy (πŸ₯‰30 Β· ⭐ 4.1K Β· πŸ“‰) - Geocoding library for Python. MIT +- sklearn-crfsuite (πŸ₯‰24 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. ❗Unlicensed +- PyTorch-BigGraph (πŸ₯‰21 Β· ⭐ 3.3K Β· πŸ“‰) - Generate embeddings from large-scale graph-structured.. ❗Unlicensed +- torch-cluster (πŸ₯‰21 Β· ⭐ 700 Β· πŸ“‰) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +- Headliner (πŸ₯‰10 Β· ⭐ 230 Β· πŸ’€) - Easy training and deployment of seq2seq models. ❗Unlicensed +- sklearn-evaluation (πŸ₯‰10 Β· ⭐ 2 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT +- Skater (πŸ₯‰6 Β· πŸ“‰) - Python Library for Model Agnostic Interpretation. ❗Unlicensed