From 44333834cb0200dd49c0f334107e2f50612c9476 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 23 May 2024 15:28:12 +0000 Subject: [PATCH] Update best-of list for version 2024.05.23 --- README.md | 2691 ++++++++++++++++--------------- history/2024-05-23_changes.md | 30 + history/2024-05-23_projects.csv | 918 +++++++++++ latest-changes.md | 40 +- 4 files changed, 2319 insertions(+), 1360 deletions(-) create mode 100644 history/2024-05-23_changes.md create mode 100644 history/2024-05-23_projects.csv diff --git a/README.md b/README.md index 87e5758..0a321a3 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@

-This curated list contains 920 awesome open-source projects with a total of 4.4M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! +This curated list contains 920 awesome open-source projects with a total of 4.5M stars grouped into 34 categories. All projects are ranked by a project-quality score, which is calculated based on various metrics automatically collected from GitHub and different package managers. If you like to add or update projects, feel free to open an [issue](https://github.com/ml-tooling/best-of-ml-python/issues/new/choose), submit a [pull request](https://github.com/ml-tooling/best-of-ml-python/pulls), or directly edit the [projects.yaml](https://github.com/ml-tooling/best-of-ml-python/edit/main/projects.yaml). Contributions are very welcome! --- @@ -101,27 +101,27 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (πŸ₯‡56 Β· ⭐ 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 370K Β· πŸ“‹ 40K - 6% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/tensorflow/tensorflow) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 74K Β· πŸ“¦ 370K Β· πŸ“‹ 40K - 6% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/tensorflow/tensorflow ``` -- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 23M / month Β· πŸ“¦ 7.2K Β· ⏱️ 09.03.2024): +- [PyPi](https://pypi.org/project/tensorflow) (πŸ“₯ 23M / month Β· πŸ“¦ 7.3K Β· ⏱️ 09.03.2024): ``` pip install tensorflow ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.6M Β· ⏱️ 30.01.2024): +- [Conda](https://anaconda.org/conda-forge/tensorflow) (πŸ“₯ 4.6M Β· ⏱️ 23.05.2024): ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 77M Β· ⭐ 2.4K Β· ⏱️ 16.05.2024): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (πŸ“₯ 77M Β· ⭐ 2.4K Β· ⏱️ 23.05.2024): ``` docker pull tensorflow/tensorflow ```
PyTorch (πŸ₯‡55 Β· ⭐ 79K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 21K Β· πŸ“₯ 41K Β· πŸ“¦ 450K Β· πŸ“‹ 43K - 32% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/pytorch/pytorch) (πŸ‘¨β€πŸ’» 4.9K Β· πŸ”€ 21K Β· πŸ“₯ 42K Β· πŸ“¦ 450K Β· πŸ“‹ 43K - 32% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/pytorch/pytorch @@ -130,30 +130,30 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install torch ``` -- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 21M Β· ⏱️ 23.04.2024): +- [Conda](https://anaconda.org/pytorch/pytorch) (πŸ“₯ 22M Β· ⏱️ 23.04.2024): ``` conda install -c pytorch pytorch ```
-
scikit-learn (πŸ₯‡52 Β· ⭐ 58K Β· πŸ“ˆ) - scikit-learn: machine learning in Python. BSD-3 +
scikit-learn (πŸ₯‡52 Β· ⭐ 58K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 950 Β· πŸ“¦ 780K Β· πŸ“‹ 11K - 18% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 25K Β· πŸ“₯ 960 Β· πŸ“¦ 780K Β· πŸ“‹ 11K - 18% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 67M / month Β· πŸ“¦ 21K Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/scikit-learn) (πŸ“₯ 67M / month Β· πŸ“¦ 22K Β· ⏱️ 21.05.2024): ``` pip install scikit-learn ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 28M Β· ⏱️ 07.05.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-learn) (πŸ“₯ 28M Β· ⏱️ 21.05.2024): ``` conda install -c conda-forge scikit-learn ```
Keras (πŸ₯‡48 Β· ⭐ 61K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/keras-team/keras) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 19K Β· πŸ“‹ 12K - 1% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/keras-team/keras @@ -169,7 +169,7 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (πŸ₯‡45 Β· ⭐ 39K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/apache/spark) (πŸ‘¨β€πŸ’» 3.1K Β· πŸ”€ 28K Β· ⏱️ 23.05.2024): ``` git clone https://github.com/apache/spark @@ -178,30 +178,30 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install pyspark ``` -- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.1M Β· ⏱️ 03.03.2024): +- [Conda](https://anaconda.org/conda-forge/pyspark) (πŸ“₯ 3.2M Β· ⏱️ 03.03.2024): ``` conda install -c conda-forge pyspark ```
-
jax (πŸ₯‡45 Β· ⭐ 28K Β· πŸ“‰) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 +
jax (πŸ₯‡45 Β· ⭐ 28K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 2.6K Β· πŸ“¦ 25K Β· πŸ“‹ 5.4K - 29% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/google/jax) (πŸ‘¨β€πŸ’» 700 Β· πŸ”€ 2.6K Β· πŸ“¦ 26K Β· πŸ“‹ 5.5K - 29% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 6.7M / month Β· πŸ“¦ 1.5K Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/jax) (πŸ“₯ 6.8M / month Β· πŸ“¦ 1.5K Β· ⏱️ 09.05.2024): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1.2M Β· ⏱️ 03.05.2024): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (πŸ“₯ 1.2M Β· ⏱️ 22.05.2024): ``` conda install -c conda-forge jaxlib ```
-
XGBoost (πŸ₯‡45 Β· ⭐ 26K Β· πŸ“ˆ) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 +
XGBoost (πŸ₯‡45 Β· ⭐ 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.7K Β· πŸ“₯ 8.6K Β· πŸ“¦ 91K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/dmlc/xgboost) (πŸ‘¨β€πŸ’» 640 Β· πŸ”€ 8.7K Β· πŸ“₯ 8.6K Β· πŸ“¦ 92K Β· πŸ“‹ 5.2K - 8% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/dmlc/xgboost @@ -217,51 +217,51 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (πŸ₯‡45 Β· ⭐ 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 5.1K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 5.4K Β· πŸ“₯ 15K Β· πŸ“¦ 5.2K Β· πŸ“‹ 19K - 9% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 260K / month Β· πŸ“¦ 110 Β· ⏱️ 19.03.2024): +- [PyPi](https://pypi.org/project/paddlepaddle) (πŸ“₯ 210K / month Β· πŸ“¦ 110 Β· ⏱️ 19.03.2024): ``` pip install paddlepaddle ```
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StatsModels (πŸ₯‡45 Β· ⭐ 9.6K Β· πŸ“ˆ) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +
pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 -- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 2.8K Β· πŸ“₯ 31 Β· πŸ“¦ 120K Β· πŸ“‹ 5.5K - 50% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 950 Β· πŸ”€ 3.3K Β· πŸ“₯ 7.5K Β· πŸ“¦ 33K Β· πŸ“‹ 6.9K - 10% open Β· ⏱️ 23.05.2024): ``` - git clone https://github.com/statsmodels/statsmodels + git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 17M / month Β· πŸ“¦ 3.9K Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 5.2M / month Β· πŸ“¦ 1.4K Β· ⏱️ 22.05.2024): ``` - pip install statsmodels + pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 13M Β· ⏱️ 14.12.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.1M Β· ⏱️ 12.04.2024): ``` - conda install -c conda-forge statsmodels + conda install -c conda-forge pytorch-lightning ```
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pytorch-lightning (πŸ₯ˆ44 Β· ⭐ 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2 +
StatsModels (πŸ₯ˆ44 Β· ⭐ 9.6K Β· πŸ“‰) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (πŸ‘¨β€πŸ’» 940 Β· πŸ”€ 3.3K Β· πŸ“₯ 7.5K Β· πŸ“¦ 32K Β· πŸ“‹ 6.9K - 10% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/statsmodels/statsmodels) (πŸ‘¨β€πŸ’» 430 Β· πŸ”€ 2.8K Β· πŸ“₯ 31 Β· πŸ“¦ 120K Β· πŸ“‹ 5.5K - 50% open Β· ⏱️ 14.05.2024): ``` - git clone https://github.com/Lightning-AI/lightning + git clone https://github.com/statsmodels/statsmodels ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (πŸ“₯ 5.1M / month Β· πŸ“¦ 1.3K Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/statsmodels) (πŸ“₯ 17M / month Β· πŸ“¦ 4K Β· ⏱️ 17.04.2024): ``` - pip install pytorch-lightning + pip install statsmodels ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (πŸ“₯ 1.1M Β· ⏱️ 12.04.2024): +- [Conda](https://anaconda.org/conda-forge/statsmodels) (πŸ“₯ 13M Β· ⏱️ 17.05.2024): ``` - conda install -c conda-forge pytorch-lightning + conda install -c conda-forge statsmodels ```
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’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 220K Β· πŸ“¦ 33K Β· πŸ“‹ 3.3K - 11% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/microsoft/LightGBM) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 3.8K Β· πŸ“₯ 220K Β· πŸ“¦ 33K Β· πŸ“‹ 3.4K - 11% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/microsoft/LightGBM @@ -277,12 +277,12 @@ _General-purpose machine learning and deep learning frameworks._
Catboost (πŸ₯ˆ41 Β· ⭐ 7.8K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 250K Β· πŸ“¦ 13 Β· πŸ“‹ 2.3K - 22% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/catboost/catboost) (πŸ‘¨β€πŸ’» 1.2K Β· πŸ”€ 1.1K Β· πŸ“₯ 250K Β· πŸ“¦ 14 Β· πŸ“‹ 2.3K - 22% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/catboost/catboost ``` -- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2M / month Β· πŸ“¦ 390 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/catboost) (πŸ“₯ 2.1M / month Β· πŸ“¦ 390 Β· ⏱️ 18.04.2024): ``` pip install catboost ``` @@ -298,59 +298,59 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 370K / month Β· πŸ“¦ 290 Β· ⏱️ 27.04.2024): +- [PyPi](https://pypi.org/project/fastai) (πŸ“₯ 360K / month Β· πŸ“¦ 290 Β· ⏱️ 27.04.2024): ``` pip install fastai ```
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Jina (πŸ₯ˆ39 Β· ⭐ 20K) - Build multimodal AI applications with cloud-native stack. Apache-2 - -- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.9K - 1% open Β· ⏱️ 16.05.2024): - - ``` - git clone https://github.com/jina-ai/jina - ``` -- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 38K / month Β· πŸ“¦ 27 Β· ⏱️ 10.04.2024): - ``` - pip install jina - ``` -- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 63K 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· ⏱️ 16.05.2024): - ``` - docker pull jinaai/jina - ``` -
Flax (πŸ₯ˆ39 Β· ⭐ 5.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 590 Β· πŸ“₯ 51 Β· πŸ“¦ 7.3K Β· πŸ“‹ 930 - 23% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/google/flax) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 590 Β· πŸ“₯ 51 Β· πŸ“¦ 7.4K Β· πŸ“‹ 930 - 23% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 4.2M / month Β· πŸ“¦ 390 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/flax) (πŸ“₯ 4.3M / month Β· πŸ“¦ 390 Β· ⏱️ 30.04.2024): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 49K Β· ⏱️ 30.04.2024): +- [Conda](https://anaconda.org/conda-forge/flax) (πŸ“₯ 50K Β· ⏱️ 30.04.2024): ``` conda install -c conda-forge flax ```
PyFlink (πŸ₯ˆ38 Β· ⭐ 23K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/apache/flink) (πŸ‘¨β€πŸ’» 1.9K Β· πŸ”€ 13K Β· πŸ“¦ 21 Β· ⏱️ 23.05.2024): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 77K / month Β· πŸ“¦ 24 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/apache-flink) (πŸ“₯ 78K / month Β· πŸ“¦ 24 Β· ⏱️ 15.03.2024): ``` pip install apache-flink ```
+
Jina (πŸ₯ˆ38 Β· ⭐ 20K Β· πŸ“‰) - Build multimodal AI applications with cloud-native stack. Apache-2 + +- [GitHub](https://github.com/jina-ai/jina) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 2.2K Β· πŸ“¦ 1.7K Β· πŸ“‹ 1.9K - 1% open Β· ⏱️ 16.05.2024): + + ``` + git clone https://github.com/jina-ai/jina + ``` +- [PyPi](https://pypi.org/project/jina) (πŸ“₯ 31K / month Β· πŸ“¦ 27 Β· ⏱️ 10.04.2024): + ``` + pip install jina + ``` +- [Conda](https://anaconda.org/conda-forge/jina-core) (πŸ“₯ 64K 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· ⏱️ 16.05.2024): + ``` + docker pull jinaai/jina + ``` +
Theano (πŸ₯ˆ38 Β· ⭐ 9.9K) - 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“¦ 15K Β· πŸ“‹ 2.8K - 24% open Β· ⏱️ 15.01.2024): @@ -358,7 +358,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Theano/Theano ``` -- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 570K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (πŸ“₯ 540K / month Β· πŸ“¦ 170 Β· ⏱️ 27.07.2020): ``` pip install theano ``` @@ -367,26 +367,26 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge theano ```
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ivy (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 +
ivy (πŸ₯ˆ35 Β· ⭐ 14K) - The Unified AI Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.9K Β· πŸ“‹ 17K - 6% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/Transpile-AI/ivy) (πŸ‘¨β€πŸ’» 1.5K Β· πŸ”€ 5.9K Β· πŸ“‹ 17K - 6% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 1.1K / month Β· πŸ“¦ 12 Β· ⏱️ 15.03.2024): +- [PyPi](https://pypi.org/project/ivy) (πŸ“₯ 820 / month Β· πŸ“¦ 12 Β· ⏱️ 15.03.2024): ``` pip install ivy ```
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Thinc (πŸ₯ˆ36 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT +
Thinc (πŸ₯ˆ35 Β· ⭐ 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT - [GitHub](https://github.com/explosion/thinc) (πŸ‘¨β€πŸ’» 63 Β· πŸ”€ 270 Β· πŸ“¦ 47K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 9.6M / month Β· πŸ“¦ 120 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/thinc) (πŸ“₯ 9.8M / month Β· πŸ“¦ 120 Β· ⏱️ 19.04.2024): ``` pip install thinc ``` @@ -402,7 +402,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/ludwig) (πŸ“₯ 4.5K / month Β· πŸ“¦ 6 Β· ⏱️ 08.04.2024): ``` pip install ludwig ``` @@ -414,23 +414,23 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 86K / month Β· πŸ“¦ 38 Β· ⏱️ 19.07.2023): +- [PyPi](https://pypi.org/project/vowpalwabbit) (πŸ“₯ 84K / month Β· πŸ“¦ 38 Β· ⏱️ 19.07.2023): ``` pip install vowpalwabbit ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 150K Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (πŸ“₯ 160K Β· ⏱️ 26.04.2024): ``` conda install -c conda-forge vowpalwabbit ```
einops (πŸ₯ˆ34 Β· ⭐ 8K) - Flexible and powerful tensor operations for readable and reliable code (for.. MIT -- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 34K Β· πŸ“‹ 170 - 19% open Β· ⏱️ 12.05.2024): +- [GitHub](https://github.com/arogozhnikov/einops) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 340 Β· πŸ“¦ 35K Β· πŸ“‹ 170 - 19% open Β· ⏱️ 12.05.2024): ``` git clone https://github.com/arogozhnikov/einops ``` -- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 7.5M / month Β· πŸ“¦ 1.7K Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/einops) (πŸ“₯ 7.6M / month Β· πŸ“¦ 1.7K Β· ⏱️ 28.04.2024): ``` pip install einops ``` @@ -441,12 +441,12 @@ _General-purpose machine learning and deep learning frameworks._
Ignite (πŸ₯ˆ34 Β· ⭐ 4.5K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 610 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/pytorch/ignite) (πŸ‘¨β€πŸ’» 520 Β· πŸ”€ 600 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.4K - 10% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 300K / month Β· πŸ“¦ 84 Β· ⏱️ 16.05.2024): +- [PyPi](https://pypi.org/project/pytorch-ignite) (πŸ“₯ 300K / month Β· πŸ“¦ 84 Β· ⏱️ 23.05.2024): ``` pip install pytorch-ignite ``` @@ -455,14 +455,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c pytorch ignite ```
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mlpack (πŸ₯‰33 Β· ⭐ 4.8K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +
mlpack (πŸ₯‰33 Β· ⭐ 4.9K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 -- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/mlpack/mlpack) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“‹ 1.6K - 2% open Β· ⏱️ 18.05.2024): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 4.2K / month Β· πŸ“¦ 1 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/mlpack) (πŸ“₯ 2.9K / month Β· πŸ“¦ 1 Β· ⏱️ 10.04.2024): ``` pip install mlpack ``` @@ -478,11 +478,11 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 31K / month Β· πŸ“¦ 20 Β· ⏱️ 02.01.2024): +- [PyPi](https://pypi.org/project/dm-sonnet) (πŸ“₯ 29K / month Β· πŸ“¦ 18 Β· ⏱️ 02.01.2024): ``` pip install dm-sonnet ``` -- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 28K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sonnet) (πŸ“₯ 29K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sonnet ``` @@ -503,6 +503,18 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge tensorpack ```
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tensorflow-upstream (πŸ₯‰32 Β· ⭐ 680) - TensorFlow ROCm port. Apache-2 + +- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 23% open Β· ⏱️ 20.05.2024): + + ``` + git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + ``` +- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 4.6K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): + ``` + pip install tensorflow-rocm + ``` +
dyNET (πŸ₯‰31 Β· ⭐ 3.4K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 - [GitHub](https://github.com/clab/dynet) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 700 Β· πŸ“₯ 16K Β· πŸ“¦ 260 Β· πŸ“‹ 940 - 29% open Β· ⏱️ 08.11.2023): @@ -510,19 +522,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 340K / month Β· πŸ“¦ 18 Β· ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (πŸ“₯ 310K / month Β· πŸ“¦ 18 Β· ⏱️ 21.10.2020): ``` pip install dyNET ```
Haiku (πŸ₯‰31 Β· ⭐ 2.8K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 230 Β· πŸ“¦ 1.9K Β· πŸ“‹ 250 - 29% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/google-deepmind/dm-haiku) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 230 Β· πŸ“¦ 1.9K Β· πŸ“‹ 250 - 28% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 200K / month Β· πŸ“¦ 160 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/dm-haiku) (πŸ“₯ 230K / month Β· πŸ“¦ 160 Β· ⏱️ 28.02.2024): ``` pip install dm-haiku ``` @@ -531,66 +543,54 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge dm-haiku ```
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Geomstats (πŸ₯‰31 Β· ⭐ 1.2K) - Computations and statistics on manifolds with geometric structures. MIT +
Determined (πŸ₯‰30 Β· ⭐ 2.9K) - Determined is an open-source machine learning platform.. Apache-2 -- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 230 Β· πŸ“¦ 100 Β· πŸ“‹ 560 - 37% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“₯ 8K Β· πŸ“‹ 460 - 26% open Β· ⏱️ 22.05.2024): ``` - git clone https://github.com/geomstats/geomstats - ``` -- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 2.9K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): + git clone https://github.com/determined-ai/determined ``` - pip install geomstats +- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 45K / month Β· πŸ“¦ 4 Β· ⏱️ 22.05.2024): ``` -- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 2.5K Β· ⏱️ 30.08.2023): - ``` - conda install -c conda-forge geomstats + pip install determined ```
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tensorflow-upstream (πŸ₯‰31 Β· ⭐ 680) - TensorFlow ROCm port. Apache-2 +
ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 -- [GitHub](https://github.com/ROCm/tensorflow-upstream) (πŸ‘¨β€πŸ’» 4.6K Β· πŸ”€ 89 Β· πŸ“₯ 21 Β· πŸ“‹ 370 - 23% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 520 Β· πŸ“‹ 490 - 0% open Β· ⏱️ 05.04.2024): ``` - git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (πŸ“₯ 5.3K / month Β· πŸ“¦ 6 Β· ⏱️ 10.01.2024): +- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 05.04.2024): ``` - pip install tensorflow-rocm + pip install ktrain ```
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Determined (πŸ₯‰30 Β· ⭐ 2.9K) - Determined is an open-source machine learning platform.. Apache-2 +
Geomstats (πŸ₯‰30 Β· ⭐ 1.2K) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/determined-ai/determined) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 340 Β· πŸ“₯ 8K Β· πŸ“‹ 460 - 26% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/geomstats/geomstats) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 230 Β· πŸ“¦ 110 Β· πŸ“‹ 560 - 37% open Β· ⏱️ 21.05.2024): ``` - git clone https://github.com/determined-ai/determined - ``` -- [PyPi](https://pypi.org/project/determined) (πŸ“₯ 53K / month Β· πŸ“¦ 4 Β· ⏱️ 10.05.2024): + git clone https://github.com/geomstats/geomstats ``` - pip install determined +- [PyPi](https://pypi.org/project/geomstats) (πŸ“₯ 2.5K / month Β· πŸ“¦ 3 Β· ⏱️ 30.08.2023): ``` -
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ktrain (πŸ₯‰30 Β· ⭐ 1.2K) - ktrain is a Python library that makes deep learning and AI more.. Apache-2 - -- [GitHub](https://github.com/amaiya/ktrain) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 270 Β· πŸ“¦ 520 Β· πŸ“‹ 490 - 0% open Β· ⏱️ 05.04.2024): - - ``` - git clone https://github.com/amaiya/ktrain + pip install geomstats ``` -- [PyPi](https://pypi.org/project/ktrain) (πŸ“₯ 11K / month Β· πŸ“¦ 3 Β· ⏱️ 05.04.2024): +- [Conda](https://anaconda.org/conda-forge/geomstats) (πŸ“₯ 2.5K Β· ⏱️ 30.08.2023): ``` - pip install ktrain + conda install -c conda-forge geomstats ```
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skorch (πŸ₯‰29 Β· ⭐ 5.6K) - A scikit-learn compatible neural network library that wraps.. BSD-3 +
skorch (πŸ₯‰29 Β· ⭐ 5.7K) - A scikit-learn compatible neural network library that wraps.. BSD-3 - [GitHub](https://github.com/skorch-dev/skorch) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 380 Β· πŸ“¦ 1.2K Β· πŸ“‹ 510 - 11% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 160K / month Β· πŸ“¦ 77 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/skorch) (πŸ“₯ 170K / month Β· πŸ“¦ 77 Β· ⏱️ 04.09.2023): ``` pip install skorch ``` @@ -601,40 +601,40 @@ _General-purpose machine learning and deep learning frameworks._
Neural Network Libraries (πŸ₯‰29 Β· ⭐ 2.7K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 340 Β· πŸ“₯ 920 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/sony/nnabla) (πŸ‘¨β€πŸ’» 76 Β· πŸ”€ 340 Β· πŸ“₯ 920 Β· πŸ“‹ 92 - 34% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/sony/nnabla ``` -- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.4K / month Β· πŸ“¦ 44 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/nnabla) (πŸ“₯ 3.2K / month Β· πŸ“¦ 44 Β· ⏱️ 06.12.2023): ``` pip install nnabla ```
EvaDB (πŸ₯‰28 Β· ⭐ 2.6K) - Database system for AI-powered apps. Apache-2 -- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 250 Β· πŸ“₯ 410K Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): +- [GitHub](https://github.com/georgia-tech-db/evadb) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 260 Β· πŸ“₯ 410K Β· πŸ“¦ 140 Β· πŸ“‹ 300 - 25% open Β· ⏱️ 03.12.2023): ``` git clone https://github.com/georgia-tech-db/eva ``` -- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 5.4K / month Β· ⏱️ 19.11.2023): +- [PyPi](https://pypi.org/project/evadb) (πŸ“₯ 3.2K / month Β· ⏱️ 19.11.2023): ``` pip install evadb ```
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pyRiemann (πŸ₯‰27 Β· ⭐ 590) - Machine learning for multivariate data through the Riemannian.. BSD-3 +
pyRiemann (πŸ₯‰27 Β· ⭐ 600) - Machine learning for multivariate data through the Riemannian.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“¦ 340 Β· πŸ“‹ 100 - 3% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 160 Β· πŸ“¦ 340 Β· πŸ“‹ 100 - 3% open Β· ⏱️ 17.05.2024): ``` git clone https://github.com/pyRiemann/pyRiemann ``` -- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 42K / month Β· πŸ“¦ 26 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/pyriemann) (πŸ“₯ 40K / month Β· πŸ“¦ 26 Β· ⏱️ 10.04.2024): ``` pip install pyriemann ``` -- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 5.7K Β· ⏱️ 10.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyriemann) (πŸ“₯ 5.8K Β· ⏱️ 10.04.2024): ``` conda install -c conda-forge pyriemann ``` @@ -655,28 +655,28 @@ _General-purpose machine learning and deep learning frameworks._ docker pull shogun/shogun ```
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Neural Tangents (πŸ₯‰26 Β· ⭐ 2.2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 +
Towhee (πŸ₯‰25 Β· ⭐ 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 380 Β· πŸ“¦ 100 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 01.03.2024): +- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 250 Β· πŸ“₯ 2.6K Β· πŸ“‹ 660 - 0% open Β· ⏱️ 20.01.2024): ``` - git clone https://github.com/google/neural-tangents + git clone https://github.com/towhee-io/towhee ``` -- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.9K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): +- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 14K / month Β· ⏱️ 04.12.2023): ``` - pip install neural-tangents + pip install towhee ```
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Towhee (πŸ₯‰25 Β· ⭐ 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 +
Neural Tangents (πŸ₯‰25 Β· ⭐ 2.2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/towhee-io/towhee) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 250 Β· πŸ“₯ 2.6K Β· πŸ“‹ 660 - 0% open Β· ⏱️ 20.01.2024): +- [GitHub](https://github.com/google/neural-tangents) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 240 Β· πŸ“₯ 380 Β· πŸ“¦ 100 Β· πŸ“‹ 160 - 38% open Β· ⏱️ 01.03.2024): ``` - git clone https://github.com/towhee-io/towhee + git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/towhee) (πŸ“₯ 11K / month Β· ⏱️ 04.12.2023): +- [PyPi](https://pypi.org/project/neural-tangents) (πŸ“₯ 2.9K / month Β· πŸ“¦ 1 Β· ⏱️ 11.12.2023): ``` - pip install towhee + pip install neural-tangents ```
mace (πŸ₯‰23 Β· ⭐ 4.9K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2 @@ -694,33 +694,33 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 720 / month Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/fklearn) (πŸ“₯ 600 / month Β· ⏱️ 23.05.2024): ``` pip install fklearn ```
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NeoML (πŸ₯‰23 Β· ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2 +
ThunderSVM (πŸ₯‰22 Β· ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 210 Β· πŸ“₯ 2.8K Β· πŸ“‹ 230 - 34% open Β· ⏱️ 01.04.2024): ``` - git clone https://github.com/neoml-lib/neoml + git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 410 / month Β· ⏱️ 26.12.2023): +- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 870 / month Β· ⏱️ 13.03.2020): ``` - pip install neoml + pip install thundersvm ```
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ThunderSVM (πŸ₯‰22 Β· ⭐ 1.5K) - ThunderSVM: A Fast SVM Library on GPUs and CPUs. Apache-2 +
NeoML (πŸ₯‰22 Β· ⭐ 760) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/Xtra-Computing/thundersvm) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 210 Β· πŸ“₯ 2.8K Β· πŸ“‹ 230 - 34% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/neoml-lib/neoml) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“‹ 87 - 42% open Β· ⏱️ 14.05.2024): ``` - git clone https://github.com/Xtra-Computing/thundersvm + git clone https://github.com/neoml-lib/neoml ``` -- [PyPi](https://pypi.org/project/thundersvm) (πŸ“₯ 810 / month Β· ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/neoml) (πŸ“₯ 140 / month Β· ⏱️ 26.12.2023): ``` - pip install thundersvm + pip install neoml ```
Torchbearer (πŸ₯‰22 Β· ⭐ 630) - torchbearer: A model fitting library for PyTorch. MIT @@ -730,7 +730,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/pytorchbearer/torchbearer ``` -- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 780 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): +- [PyPi](https://pypi.org/project/torchbearer) (πŸ“₯ 650 / month Β· πŸ“¦ 4 Β· ⏱️ 01.12.2023): ``` pip install torchbearer ``` @@ -742,19 +742,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 650 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/objax) (πŸ“₯ 680 / month Β· πŸ“¦ 4 Β· ⏱️ 06.11.2023): ``` pip install objax ```
chefboost (πŸ₯‰20 Β· ⭐ 440) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 99 Β· πŸ“¦ 53 Β· πŸ“‹ 47 - 12% open Β· ⏱️ 26.12.2023): +- [GitHub](https://github.com/serengil/chefboost) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 100 Β· πŸ“¦ 53 Β· πŸ“‹ 47 - 12% open Β· ⏱️ 26.12.2023): ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 3.1K / month Β· ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (πŸ“₯ 2.9K / month Β· ⏱️ 16.02.2022): ``` pip install chefboost ``` @@ -766,7 +766,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 280 / month Β· ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (πŸ“₯ 200 / month Β· ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -775,7 +775,7 @@ _General-purpose machine learning and deep learning frameworks._ - dlib (πŸ₯ˆ41 Β· ⭐ 13K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MXNet (πŸ₯ˆ38 Β· ⭐ 21K Β· πŸ’€) - Lightweight, Portable, Flexible Distributed/Mobile Deep.. Apache-2 -- MindsDB (πŸ₯ˆ34 Β· ⭐ 21K) - The platform for customizing AI from enterprise data. ❗️libpng-2.0 +- MindsDB (πŸ₯ˆ34 Β· ⭐ 22K) - The platform for customizing AI from enterprise data. ❗️libpng-2.0 - Chainer (πŸ₯‰33 Β· ⭐ 5.9K Β· πŸ’€) - A flexible framework of neural networks for deep learning. MIT - Turi Create (πŸ₯‰32 Β· ⭐ 11K Β· πŸ’€) - Turi Create simplifies the development of custom machine.. BSD-3 - TFlearn (πŸ₯‰32 Β· ⭐ 9.6K Β· πŸ’€) - Deep learning library featuring a higher-level API for TensorFlow. MIT @@ -785,7 +785,7 @@ _General-purpose machine learning and deep learning frameworks._ - xLearn (πŸ₯‰24 Β· ⭐ 3.1K Β· πŸ’€) - High performance, easy-to-use, and scalable machine learning (ML).. Apache-2 - NeuPy (πŸ₯‰24 Β· ⭐ 740 Β· πŸ’€) - NeuPy is a Tensorflow based python library for prototyping and building.. MIT - neon (πŸ₯‰22 Β· ⭐ 3.9K Β· πŸ’€) - Intel Nervana reference deep learning framework committed to best.. Apache-2 -- elegy (πŸ₯‰19 Β· ⭐ 460 Β· πŸ’€) - A High Level API for Deep Learning in JAX. MIT +- elegy (πŸ₯‰19 Β· ⭐ 470 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 - nanodl (πŸ₯‰15 Β· ⭐ 260) - A Jax-based library for designing and training transformer models from.. MIT
@@ -797,30 +797,30 @@ _General-purpose machine learning and deep learning frameworks._ _General-purpose and task-specific data visualization libraries._ -
Matplotlib (πŸ₯‡48 Β· ⭐ 19K Β· πŸ“‰) - matplotlib: plotting with Python. ❗Unlicensed +
Matplotlib (πŸ₯‡48 Β· ⭐ 19K) - matplotlib: plotting with Python. ❗Unlicensed -- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/matplotlib/matplotlib) (πŸ‘¨β€πŸ’» 1.7K Β· πŸ”€ 7.4K Β· πŸ“¦ 1.2M Β· πŸ“‹ 11K - 14% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 63M / month Β· πŸ“¦ 44K Β· ⏱️ 15.05.2024): +- [PyPi](https://pypi.org/project/matplotlib) (πŸ“₯ 65M / month Β· πŸ“¦ 44K Β· ⏱️ 15.05.2024): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 24M Β· ⏱️ 06.05.2024): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (πŸ“₯ 24M Β· ⏱️ 17.05.2024): ``` conda install -c conda-forge matplotlib ```
Bokeh (πŸ₯‡45 Β· ⭐ 19K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 4.2K Β· πŸ“¦ 88K Β· πŸ“‹ 7.7K - 10% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/bokeh/bokeh) (πŸ‘¨β€πŸ’» 690 Β· πŸ”€ 4.2K Β· πŸ“¦ 88K Β· πŸ“‹ 7.7K - 10% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 5.2M / month Β· πŸ“¦ 1.6K Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/bokeh) (πŸ“₯ 4.9M / month Β· πŸ“¦ 1.6K Β· ⏱️ 21.05.2024): ``` pip install bokeh ``` @@ -836,7 +836,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/plotly/plotly.py ``` -- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 16M / month Β· πŸ“¦ 5.4K Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/plotly) (πŸ“₯ 16M / month Β· πŸ“¦ 5.5K Β· ⏱️ 01.05.2024): ``` pip install plotly ``` @@ -856,11 +856,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 17M / month Β· πŸ“¦ 9.4K Β· ⏱️ 25.01.2024): +- [PyPi](https://pypi.org/project/seaborn) (πŸ“₯ 17M / month Β· πŸ“¦ 9.5K Β· ⏱️ 25.01.2024): ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 8.7M Β· ⏱️ 30.04.2024): +- [Conda](https://anaconda.org/conda-forge/seaborn) (πŸ“₯ 8.8M Β· ⏱️ 30.04.2024): ``` conda install -c conda-forge seaborn ``` @@ -872,7 +872,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/dash) (πŸ“₯ 2.9M / month Β· πŸ“¦ 1.2K Β· ⏱️ 03.05.2024): ``` pip install dash ``` @@ -881,9 +881,9 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dash ```
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Altair (πŸ₯‡41 Β· ⭐ 9K) - Declarative statistical visualization library for Python. BSD-3 +
Altair (πŸ₯‡42 Β· ⭐ 9K Β· πŸ“ˆ) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 120 Β· πŸ“¦ 130K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/vega/altair) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 760 Β· πŸ“₯ 120 Β· πŸ“¦ 130K Β· πŸ“‹ 1.9K - 8% open Β· ⏱️ 18.05.2024): ``` git clone https://github.com/altair-viz/altair @@ -899,12 +899,12 @@ _General-purpose and task-specific data visualization libraries._
pandas-profiling (πŸ₯ˆ38 Β· ⭐ 12K) - 1 Line of code data quality profiling & exploratory.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 96 Β· πŸ“¦ 3.1K Β· πŸ“‹ 780 - 27% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/ydataai/ydata-profiling) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“₯ 97 Β· πŸ“¦ 3.2K Β· πŸ“‹ 780 - 27% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 760K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/pandas-profiling) (πŸ“₯ 790K / month Β· πŸ“¦ 180 Β· ⏱️ 03.02.2023): ``` pip install pandas-profiling ``` @@ -915,12 +915,12 @@ _General-purpose and task-specific data visualization libraries._
HoloViews (πŸ₯ˆ38 Β· ⭐ 2.6K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 10K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/holoviz/holoviews) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 390 Β· πŸ“¦ 11K Β· πŸ“‹ 3.3K - 33% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 440K / month Β· πŸ“¦ 360 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/holoviews) (πŸ“₯ 490K / month Β· πŸ“¦ 360 Β· ⏱️ 17.05.2024): ``` pip install holoviews ``` @@ -928,14 +928,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 260 / month Β· πŸ“¦ 5 Β· ⏱️ 22.03.2024): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (πŸ“₯ 220 / month Β· πŸ“¦ 5 Β· ⏱️ 22.03.2024): ``` npm install @pyviz/jupyterlab_pyviz ```
PyQtGraph (πŸ₯ˆ37 Β· ⭐ 3.7K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“¦ 9.5K Β· πŸ“‹ 1.3K - 30% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 1.1K Β· πŸ“¦ 9.5K Β· πŸ“‹ 1.3K - 30% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/pyqtgraph/pyqtgraph @@ -944,7 +944,7 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install pyqtgraph ``` -- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 530K Β· ⏱️ 02.05.2024): +- [Conda](https://anaconda.org/conda-forge/pyqtgraph) (πŸ“₯ 540K Β· ⏱️ 02.05.2024): ``` conda install -c conda-forge pyqtgraph ``` @@ -956,7 +956,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 11M / month Β· πŸ“¦ 2.3K Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/graphviz) (πŸ“₯ 12M / month Β· πŸ“¦ 2.3K Β· ⏱️ 21.03.2024): ``` pip install graphviz ``` @@ -965,7 +965,7 @@ _General-purpose and task-specific data visualization libraries._ conda install -c anaconda python-graphviz ```
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pyecharts (πŸ₯ˆ36 Β· ⭐ 14K) - Python Echarts Plotting Library. MIT +
pyecharts (πŸ₯ˆ36 Β· ⭐ 15K) - Python Echarts Plotting Library. MIT - [GitHub](https://github.com/pyecharts/pyecharts) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 2.8K Β· πŸ“₯ 45 Β· πŸ“¦ 4.1K Β· πŸ“‹ 1.9K - 0% open Β· ⏱️ 03.03.2024): @@ -977,26 +977,14 @@ _General-purpose and task-specific data visualization libraries._ pip install pyecharts ```
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FiftyOne (πŸ₯ˆ36 Β· ⭐ 6.8K) - Visualize, create, and debug image and video datasets.. Apache-2 - -- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 570 Β· πŸ“‹ 1.5K - 32% open Β· ⏱️ 13.05.2024): - - ``` - git clone https://github.com/voxel51/fiftyone - ``` -- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 62K / month Β· πŸ“¦ 12 Β· ⏱️ 15.04.2024): - ``` - pip install fiftyone - ``` -
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plotnine (πŸ₯ˆ36 Β· ⭐ 3.8K) - A Grammar of Graphics for Python. MIT +
plotnine (πŸ₯ˆ36 Β· ⭐ 3.9K) - A Grammar of Graphics for Python. MIT -- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“¦ 7.6K Β· πŸ“‹ 630 - 10% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/has2k1/plotnine) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 200 Β· πŸ“¦ 7.7K Β· πŸ“‹ 630 - 10% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/has2k1/plotnine ``` -- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3.1M / month Β· πŸ“¦ 260 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/plotnine) (πŸ“₯ 3.2M / month Β· πŸ“¦ 260 Β· ⏱️ 09.05.2024): ``` pip install plotnine ``` @@ -1007,43 +995,55 @@ _General-purpose and task-specific data visualization libraries._
PyVista (πŸ₯ˆ36 Β· ⭐ 2.4K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 440 Β· πŸ“₯ 800 Β· πŸ“¦ 2.9K Β· πŸ“‹ 1.6K - 33% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/pyvista/pyvista) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 440 Β· πŸ“₯ 800 Β· πŸ“¦ 3K Β· πŸ“‹ 1.6K - 33% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/pyvista/pyvista ``` -- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 270K / month Β· πŸ“¦ 470 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/pyvista) (πŸ“₯ 280K / month Β· πŸ“¦ 470 Β· ⏱️ 14.05.2024): ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 470K Β· ⏱️ 14.05.2024): +- [Conda](https://anaconda.org/conda-forge/pyvista) (πŸ“₯ 480K Β· ⏱️ 14.05.2024): ``` conda install -c conda-forge pyvista ```
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FiftyOne (πŸ₯ˆ35 Β· ⭐ 6.8K) - Visualize, create, and debug image and video datasets.. Apache-2 + +- [GitHub](https://github.com/voxel51/fiftyone) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 500 Β· πŸ“¦ 580 Β· πŸ“‹ 1.5K - 32% open Β· ⏱️ 23.05.2024): + + ``` + git clone https://github.com/voxel51/fiftyone + ``` +- [PyPi](https://pypi.org/project/fiftyone) (πŸ“₯ 58K / month Β· πŸ“¦ 12 Β· ⏱️ 15.04.2024): + ``` + pip install fiftyone + ``` +
VisPy (πŸ₯ˆ35 Β· ⭐ 3.2K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 620 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/vispy/vispy) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 620 Β· πŸ“¦ 1.5K Β· πŸ“‹ 1.5K - 23% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 95K / month Β· πŸ“¦ 150 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/vispy) (πŸ“₯ 91K / month Β· πŸ“¦ 150 Β· ⏱️ 14.03.2024): ``` pip install vispy ``` -- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 490K Β· ⏱️ 15.03.2024): +- [Conda](https://anaconda.org/conda-forge/vispy) (πŸ“₯ 490K Β· ⏱️ 17.05.2024): ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 9 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (πŸ“₯ 13 / month Β· πŸ“¦ 3 Β· ⏱️ 15.03.2020): ``` npm install vispy ```
cartopy (πŸ₯ˆ35 Β· ⭐ 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3 -- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 360 Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 04.05.2024): +- [GitHub](https://github.com/SciTools/cartopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 360 Β· πŸ“¦ 4.9K Β· πŸ“‹ 1.3K - 24% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/SciTools/cartopy @@ -1052,7 +1052,7 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install cartopy ``` -- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 3.6M Β· ⏱️ 11.04.2024): +- [Conda](https://anaconda.org/conda-forge/cartopy) (πŸ“₯ 3.6M Β· ⏱️ 16.05.2024): ``` conda install -c conda-forge cartopy ``` @@ -1064,7 +1064,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/amueller/word_cloud ``` -- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 1.9M / month Β· πŸ“¦ 490 Β· ⏱️ 09.12.2023): +- [PyPi](https://pypi.org/project/wordcloud) (πŸ“₯ 2M / month Β· πŸ“¦ 490 Β· ⏱️ 09.12.2023): ``` pip install wordcloud ``` @@ -1073,54 +1073,54 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge wordcloud ```
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UMAP (πŸ₯ˆ33 Β· ⭐ 7K) - Uniform Manifold Approximation and Projection. BSD-3 +
datashader (πŸ₯ˆ34 Β· ⭐ 3.2K Β· πŸ“ˆ) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 760 Β· πŸ“¦ 1 Β· πŸ“‹ 790 - 57% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 360 Β· πŸ“¦ 4.1K Β· πŸ“‹ 580 - 23% open Β· ⏱️ 23.05.2024): ``` - git clone https://github.com/lmcinnes/umap + git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.3M / month Β· πŸ“¦ 830 Β· ⏱️ 03.04.2024): +- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 110K / month Β· πŸ“¦ 180 Β· ⏱️ 23.05.2024): ``` - pip install umap-learn + pip install datashader ``` -- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.4M Β· ⏱️ 04.02.2024): +- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 880K Β· ⏱️ 23.04.2024): ``` - conda install -c conda-forge umap-learn + conda install -c conda-forge datashader ```
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datashader (πŸ₯ˆ33 Β· ⭐ 3.2K) - Quickly and accurately render even the largest data. BSD-3 +
UMAP (πŸ₯ˆ33 Β· ⭐ 7K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 360 Β· πŸ“¦ 4.1K Β· πŸ“‹ 580 - 23% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/lmcinnes/umap) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 760 Β· πŸ“¦ 1 Β· πŸ“‹ 790 - 57% open Β· ⏱️ 25.04.2024): ``` - git clone https://github.com/holoviz/datashader + git clone https://github.com/lmcinnes/umap ``` -- [PyPi](https://pypi.org/project/datashader) (πŸ“₯ 110K / month Β· πŸ“¦ 180 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/umap-learn) (πŸ“₯ 1.3M / month Β· πŸ“¦ 830 Β· ⏱️ 03.04.2024): ``` - pip install datashader + pip install umap-learn ``` -- [Conda](https://anaconda.org/conda-forge/datashader) (πŸ“₯ 870K Β· ⏱️ 23.04.2024): +- [Conda](https://anaconda.org/conda-forge/umap-learn) (πŸ“₯ 2.4M Β· ⏱️ 04.02.2024): ``` - conda install -c conda-forge datashader + conda install -c conda-forge umap-learn ```
Perspective (πŸ₯ˆ31 Β· ⭐ 7.6K) - A data visualization and analytics component, especially.. Apache-2 -- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 1K Β· πŸ“₯ 2.6K Β· πŸ“¦ 120 Β· πŸ“‹ 750 - 13% open Β· ⏱️ 04.05.2024): +- [GitHub](https://github.com/finos/perspective) (πŸ‘¨β€πŸ’» 93 Β· πŸ”€ 1K Β· πŸ“₯ 2.7K Β· πŸ“¦ 120 Β· πŸ“‹ 760 - 13% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 5.8K / month Β· πŸ“¦ 22 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/perspective-python) (πŸ“₯ 4.6K / month Β· πŸ“¦ 22 Β· ⏱️ 23.05.2024): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 590K Β· ⏱️ 26.03.2024): +- [Conda](https://anaconda.org/conda-forge/perspective) (πŸ“₯ 610K Β· ⏱️ 26.03.2024): ``` conda install -c conda-forge perspective ``` -- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 3.6K / month Β· πŸ“¦ 4 Β· ⏱️ 25.03.2024): +- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (πŸ“₯ 3.7K / month Β· πŸ“¦ 4 Β· ⏱️ 25.03.2024): ``` npm install @finos/perspective-jupyterlab ``` @@ -1132,7 +1132,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 56K / month Β· πŸ“¦ 39 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/dtale) (πŸ“₯ 61K / month Β· πŸ“¦ 39 Β· ⏱️ 30.04.2024): ``` pip install dtale ``` @@ -1148,7 +1148,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 480K / month Β· πŸ“¦ 130 Β· ⏱️ 23.12.2023): +- [PyPi](https://pypi.org/project/mpld3) (πŸ“₯ 490K / month Β· πŸ“¦ 130 Β· ⏱️ 23.12.2023): ``` pip install mpld3 ``` @@ -1156,31 +1156,31 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 920 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): +- [npm](https://www.npmjs.com/package/mpld3) (πŸ“₯ 800 / month Β· πŸ“¦ 9 Β· ⏱️ 23.12.2023): ``` npm install mpld3 ```
lets-plot (πŸ₯ˆ31 Β· ⭐ 1.5K) - Multiplatform plotting library based on the Grammar of Graphics. MIT -- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 660 Β· πŸ“¦ 75 Β· πŸ“‹ 560 - 24% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/JetBrains/lets-plot) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 46 Β· πŸ“₯ 680 Β· πŸ“¦ 77 Β· πŸ“‹ 560 - 24% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/JetBrains/lets-plot ``` -- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 25K / month Β· πŸ“¦ 8 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/lets-plot) (πŸ“₯ 22K / month Β· πŸ“¦ 8 Β· ⏱️ 25.04.2024): ``` pip install lets-plot ```
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hvPlot (πŸ₯ˆ31 Β· ⭐ 960) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
hvPlot (πŸ₯ˆ31 Β· ⭐ 970) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 -- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 99 Β· πŸ“¦ 5K Β· πŸ“‹ 760 - 44% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/holoviz/hvplot) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 99 Β· πŸ“¦ 5.1K Β· πŸ“‹ 760 - 44% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/holoviz/hvplot ``` -- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 210K / month Β· πŸ“¦ 170 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/hvplot) (πŸ“₯ 230K / month Β· πŸ“¦ 170 Β· ⏱️ 06.05.2024): ``` pip install hvplot ``` @@ -1191,7 +1191,7 @@ _General-purpose and task-specific data visualization libraries._
bqplot (πŸ₯‰30 Β· ⭐ 3.6K) - Plotting library for IPython/Jupyter notebooks. Apache-2 -- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 460 Β· πŸ“¦ 55 Β· πŸ“‹ 620 - 41% open Β· ⏱️ 25.03.2024): +- [GitHub](https://github.com/bqplot/bqplot) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 460 Β· πŸ“¦ 55 Β· πŸ“‹ 620 - 41% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/bqplot/bqplot @@ -1204,7 +1204,7 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 3.2K / month Β· πŸ“¦ 21 Β· ⏱️ 25.03.2024): +- [npm](https://www.npmjs.com/package/bqplot) (πŸ“₯ 3K / month Β· πŸ“¦ 21 Β· ⏱️ 25.03.2024): ``` npm install bqplot ``` @@ -1235,16 +1235,16 @@ _General-purpose and task-specific data visualization libraries._
AutoViz (πŸ₯‰28 Β· ⭐ 1.6K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 680 Β· πŸ“‹ 90 - 1% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/AutoViML/AutoViz) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 200 Β· πŸ“¦ 680 Β· πŸ“‹ 91 - 1% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 35K / month Β· πŸ“¦ 7 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/autoviz) (πŸ“₯ 37K / month Β· πŸ“¦ 7 Β· ⏱️ 29.04.2024): ``` pip install autoviz ``` -- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 50K Β· ⏱️ 26.04.2024): +- [Conda](https://anaconda.org/conda-forge/autoviz) (πŸ“₯ 51K Β· ⏱️ 26.04.2024): ``` conda install -c conda-forge autoviz ``` @@ -1256,27 +1256,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ContextLab/hypertools ``` -- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 940 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): +- [PyPi](https://pypi.org/project/hypertools) (πŸ“₯ 850 / month Β· πŸ“¦ 2 Β· ⏱️ 12.02.2022): ``` pip install hypertools ```
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Plotly-Resampler (πŸ₯‰27 Β· ⭐ 960) - Visualize large time series data with plotly.py. MIT - -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 63 Β· πŸ“¦ 1.1K Β· πŸ“‹ 160 - 28% open Β· ⏱️ 27.03.2024): - - ``` - git clone https://github.com/predict-idlab/plotly-resampler - ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 440K / month Β· πŸ“¦ 22 Β· ⏱️ 27.03.2024): - ``` - pip install plotly-resampler - ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 40K Β· ⏱️ 29.03.2024): - ``` - conda install -c conda-forge plotly-resampler - ``` -
Chartify (πŸ₯‰26 Β· ⭐ 3.5K Β· πŸ’€) - 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”€ 310 Β· πŸ“¦ 76 Β· πŸ“‹ 80 - 60% open Β· ⏱️ 12.10.2023): @@ -1284,7 +1268,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 20K / month Β· πŸ“¦ 9 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/chartify) (πŸ“₯ 16K / month Β· πŸ“¦ 9 Β· ⏱️ 12.10.2023): ``` pip install chartify ``` @@ -1300,7 +1284,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 69K / month Β· πŸ“¦ 29 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/sweetviz) (πŸ“₯ 71K / month Β· πŸ“¦ 29 Β· ⏱️ 29.11.2023): ``` pip install sweetviz ``` @@ -1311,28 +1295,44 @@ _General-purpose and task-specific data visualization libraries._
openTSNE (πŸ₯‰26 Β· ⭐ 1.4K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 160 Β· πŸ“¦ 790 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 160 Β· πŸ“¦ 800 Β· πŸ“‹ 130 - 3% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/pavlin-policar/openTSNE ``` -- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 29K / month Β· πŸ“¦ 43 Β· ⏱️ 29.11.2023): +- [PyPi](https://pypi.org/project/opentsne) (πŸ“₯ 31K / month Β· πŸ“¦ 43 Β· ⏱️ 29.11.2023): ``` pip install opentsne ``` -- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 250K Β· ⏱️ 29.11.2023): +- [Conda](https://anaconda.org/conda-forge/opentsne) (πŸ“₯ 250K Β· ⏱️ 19.05.2024): ``` conda install -c conda-forge opentsne ```
+
Plotly-Resampler (πŸ₯‰26 Β· ⭐ 960) - Visualize large time series data with plotly.py. MIT + +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 63 Β· πŸ“¦ 1.1K Β· πŸ“‹ 160 - 28% open Β· ⏱️ 27.03.2024): + + ``` + git clone https://github.com/predict-idlab/plotly-resampler + ``` +- [PyPi](https://pypi.org/project/plotly-resampler) (πŸ“₯ 430K / month Β· πŸ“¦ 22 Β· ⏱️ 27.03.2024): + ``` + pip install plotly-resampler + ``` +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (πŸ“₯ 41K Β· ⏱️ 29.03.2024): + ``` + conda install -c conda-forge plotly-resampler + ``` +
HiPlot (πŸ₯‰24 Β· ⭐ 2.7K Β· πŸ’€) - HiPlot makes understanding high dimensional data easy. MIT -- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 400 Β· πŸ“‹ 93 - 21% open Β· ⏱️ 19.07.2023): +- [GitHub](https://github.com/facebookresearch/hiplot) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 140 Β· πŸ“¦ 410 Β· πŸ“‹ 93 - 21% open Β· ⏱️ 19.07.2023): ``` git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 21K / month Β· πŸ“¦ 26 Β· ⏱️ 05.07.2022): +- [PyPi](https://pypi.org/project/hiplot) (πŸ“₯ 20K / month Β· πŸ“¦ 26 Β· ⏱️ 05.07.2022): ``` pip install hiplot ``` @@ -1348,7 +1348,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 38K / month Β· πŸ“¦ 29 Β· ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (πŸ“₯ 37K / month Β· πŸ“¦ 30 Β· ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1364,11 +1364,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/DmitryUlyanov/Multicore-TSNE ``` -- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.4K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): +- [PyPi](https://pypi.org/project/MulticoreTSNE) (πŸ“₯ 2.3K / month Β· πŸ“¦ 22 Β· ⏱️ 09.01.2019): ``` pip install MulticoreTSNE ``` -- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 35K Β· ⏱️ 11.10.2023): +- [Conda](https://anaconda.org/conda-forge/multicore-tsne) (πŸ“₯ 36K Β· ⏱️ 11.10.2023): ``` conda install -c conda-forge multicore-tsne ``` @@ -1380,16 +1380,16 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/vega/ipyvega ``` -- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 17K / month Β· πŸ“¦ 14 Β· ⏱️ 12.04.2023): +- [PyPi](https://pypi.org/project/vega) (πŸ“₯ 19K / month Β· πŸ“¦ 14 Β· ⏱️ 12.04.2023): ``` pip install vega ``` -- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 590K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/vega) (πŸ“₯ 590K Β· ⏱️ 18.05.2024): ``` conda install -c conda-forge vega ```
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PDPbox (πŸ₯‰20 Β· ⭐ 820 Β· πŸ’€) - python partial dependence plot toolbox. MIT +
PDPbox (πŸ₯‰20 Β· ⭐ 830 Β· πŸ’€) - python partial dependence plot toolbox. MIT - [GitHub](https://github.com/SauceCat/PDPbox) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 130 Β· πŸ“‹ 67 - 41% open Β· ⏱️ 05.06.2023): @@ -1412,7 +1412,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 13K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): +- [PyPi](https://pypi.org/project/popmon) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 18.07.2023): ``` pip install popmon ``` @@ -1436,15 +1436,15 @@ _General-purpose and task-specific data visualization libraries._ - pythreejs (πŸ₯‰27 Β· ⭐ 930 Β· πŸ’€) - A Jupyter - Three.js bridge. BSD-3 - Pandas-Bokeh (πŸ₯‰24 Β· ⭐ 880 Β· πŸ’€) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT - PandasGUI (πŸ₯‰23 Β· ⭐ 3.1K) - A GUI for Pandas DataFrames. ❗️MIT-0 -- pivottablejs (πŸ₯‰23 Β· ⭐ 670 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT +- pivottablejs (πŸ₯‰23 Β· ⭐ 680 Β· πŸ’€) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (πŸ₯‰22 Β· ⭐ 540 Β· πŸ’€) - Joyplots in Python with matplotlib & pandas. MIT - vegafusion (πŸ₯‰21 Β· ⭐ 300) - Serverside scaling for Vega and Altair visualizations. BSD-3 -- PyWaffle (πŸ₯‰20 Β· ⭐ 570 Β· πŸ’€) - Make Waffle Charts in Python. MIT +- PyWaffle (πŸ₯‰20 Β· ⭐ 580 Β· πŸ’€) - Make Waffle Charts in Python. MIT - animatplot (πŸ₯‰18 Β· ⭐ 400 Β· πŸ’€) - A python package for animating plots build on matplotlib. MIT - pdvega (πŸ₯‰16 Β· ⭐ 340 Β· πŸ’€) - Interactive plotting for Pandas using Vega-Lite. MIT - data-describe (πŸ₯‰15 Β· ⭐ 300 Β· πŸ’€) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 - nx-altair (πŸ₯‰15 Β· ⭐ 220 Β· πŸ’€) - Draw interactive NetworkX graphs with Altair. MIT -- nptsne (πŸ₯‰13 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2 +- nptsne (πŸ₯‰12 Β· ⭐ 32 Β· πŸ’€) - nptsne is a numpy compatible python binary package that offers a.. Apache-2

@@ -1454,53 +1454,53 @@ _General-purpose and task-specific data visualization libraries._ _Libraries for processing, cleaning, manipulating, and analyzing text data as well as libraries for NLP tasks such as language detection, fuzzy matching, classification, seq2seq learning, conversational AI, keyword extraction, and translation._ -
transformers (πŸ₯‡52 Β· ⭐ 130K Β· πŸ“ˆ) - Transformers: State-of-the-art Machine Learning for.. Apache-2 +
transformers (πŸ₯‡52 Β· ⭐ 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.6K Β· πŸ”€ 25K Β· πŸ“¦ 170K Β· πŸ“‹ 15K - 7% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/huggingface/transformers) (πŸ‘¨β€πŸ’» 2.6K Β· πŸ”€ 25K Β· πŸ“¦ 170K Β· πŸ“‹ 15K - 7% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 28M / month Β· πŸ“¦ 5K Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/transformers) (πŸ“₯ 28M / month Β· πŸ“¦ 5.1K Β· ⏱️ 22.05.2024): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.7M Β· ⏱️ 07.05.2024): +- [Conda](https://anaconda.org/conda-forge/transformers) (πŸ“₯ 1.7M Β· ⏱️ 23.05.2024): ``` conda install -c conda-forge transformers ```
spaCy (πŸ₯‡44 Β· ⭐ 29K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 4.3K Β· πŸ“¦ 88K Β· πŸ“‹ 5.6K - 2% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/explosion/spaCy) (πŸ‘¨β€πŸ’» 750 Β· πŸ”€ 4.3K Β· πŸ“¦ 89K Β· πŸ“‹ 5.6K - 2% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 12M / month Β· πŸ“¦ 2.4K Β· ⏱️ 22.04.2024): +- [PyPi](https://pypi.org/project/spacy) (πŸ“₯ 13M / month Β· πŸ“¦ 2.4K Β· ⏱️ 22.04.2024): ``` pip install spacy ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 3.4M Β· ⏱️ 04.04.2024): +- [Conda](https://anaconda.org/conda-forge/spacy) (πŸ“₯ 3.5M Β· ⏱️ 04.04.2024): ``` conda install -c conda-forge spacy ```
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litellm (πŸ₯‡42 Β· ⭐ 8.9K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s +
litellm (πŸ₯‡42 Β· ⭐ 9.1K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s -- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 980 Β· πŸ“₯ 240 Β· πŸ“¦ 1.8K Β· πŸ“‹ 2.3K - 24% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/BerriAI/litellm) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 990 Β· πŸ“₯ 250 Β· πŸ“¦ 1.8K Β· πŸ“‹ 2.4K - 24% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/BerriAI/litellm ``` -- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 580K / month Β· πŸ“¦ 170 Β· ⏱️ 16.05.2024): +- [PyPi](https://pypi.org/project/litellm) (πŸ“₯ 600K / month Β· πŸ“¦ 190 Β· ⏱️ 23.05.2024): ``` pip install litellm ```
sentence-transformers (πŸ₯‡41 Β· ⭐ 14K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.3K Β· πŸ“¦ 33K Β· πŸ“‹ 2K - 53% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.3K Β· πŸ“¦ 33K Β· πŸ“‹ 2K - 52% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/UKPLab/sentence-transformers @@ -1516,12 +1516,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
nltk (πŸ₯‡41 Β· ⭐ 13K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 2.8K Β· πŸ“¦ 270K Β· πŸ“‹ 1.8K - 15% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/nltk/nltk) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 2.8K Β· πŸ“¦ 280K Β· πŸ“‹ 1.8K - 15% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 22M / month Β· πŸ“¦ 4.1K Β· ⏱️ 20.07.2023): +- [PyPi](https://pypi.org/project/nltk) (πŸ“₯ 22M / month Β· πŸ“¦ 4.2K Β· ⏱️ 20.07.2023): ``` pip install nltk ``` @@ -1530,21 +1530,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge nltk ```
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Rasa (πŸ₯‡40 Β· ⭐ 18K) - Open source machine learning framework to automate text- and voice-.. Apache-2 - -- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.5K Β· πŸ“¦ 4.1K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 21.03.2024): - - ``` - git clone https://github.com/RasaHQ/rasa - ``` -- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 110K / month Β· πŸ“¦ 59 Β· ⏱️ 18.04.2024): - ``` - pip install rasa - ``` -
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Tokenizers (πŸ₯‡40 Β· ⭐ 8.5K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +
Tokenizers (πŸ₯‡40 Β· ⭐ 8.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 730 Β· πŸ“₯ 47 Β· πŸ“¦ 77K Β· πŸ“‹ 960 - 8% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/huggingface/tokenizers) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 730 Β· πŸ“₯ 47 Β· πŸ“¦ 78K Β· πŸ“‹ 970 - 8% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/huggingface/tokenizers @@ -1558,14 +1546,26 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge tokenizers ```
+
Rasa (πŸ₯‡39 Β· ⭐ 18K Β· πŸ“‰) - Open source machine learning framework to automate text- and.. Apache-2 + +- [GitHub](https://github.com/RasaHQ/rasa) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 4.5K Β· πŸ“¦ 4.2K Β· πŸ“‹ 6.8K - 1% open Β· ⏱️ 21.03.2024): + + ``` + git clone https://github.com/RasaHQ/rasa + ``` +- [PyPi](https://pypi.org/project/rasa) (πŸ“₯ 110K / month Β· πŸ“¦ 59 Β· ⏱️ 18.04.2024): + ``` + pip install rasa + ``` +
gensim (πŸ₯‡39 Β· ⭐ 15K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.3K Β· πŸ“₯ 4.6K Β· πŸ“¦ 59K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/piskvorky/gensim) (πŸ‘¨β€πŸ’» 450 Β· πŸ”€ 4.3K Β· πŸ“₯ 4.6K Β· πŸ“¦ 60K Β· πŸ“‹ 1.8K - 20% open Β· ⏱️ 18.05.2024): ``` git clone https://github.com/RaRe-Technologies/gensim ``` -- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 5.5M / month Β· πŸ“¦ 1.3K Β· ⏱️ 24.08.2023): +- [PyPi](https://pypi.org/project/gensim) (πŸ“₯ 5.3M / month Β· πŸ“¦ 1.3K Β· ⏱️ 24.08.2023): ``` pip install gensim ``` @@ -1576,23 +1576,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
flair (πŸ₯‡39 Β· ⭐ 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT -- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.3K - 3% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/flairNLP/flair) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2.1K Β· πŸ“¦ 3.3K Β· πŸ“‹ 2.3K - 3% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 210K / month Β· πŸ“¦ 130 Β· ⏱️ 18.12.2023): +- [PyPi](https://pypi.org/project/flair) (πŸ“₯ 230K / month Β· πŸ“¦ 130 Β· ⏱️ 18.12.2023): ``` pip install flair ``` -- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 24K Β· ⏱️ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/python-flair) (πŸ“₯ 25K Β· ⏱️ 05.01.2024): ``` conda install -c conda-forge python-flair ```
sentencepiece (πŸ₯‡38 Β· ⭐ 9.6K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1.1K Β· πŸ“₯ 37K Β· πŸ“¦ 65K Β· πŸ“‹ 720 - 3% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/google/sentencepiece) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 1.1K Β· πŸ“₯ 37K Β· πŸ“¦ 65K Β· πŸ“‹ 720 - 3% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/google/sentencepiece @@ -1601,7 +1601,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install sentencepiece ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 790K Β· ⏱️ 19.03.2024): +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (πŸ“₯ 800K Β· ⏱️ 19.03.2024): ``` conda install -c conda-forge sentencepiece ``` @@ -1613,7 +1613,7 @@ _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“₯ 1.1M / month Β· πŸ“¦ 330 Β· ⏱️ 22.10.2021): +- [PyPi](https://pypi.org/project/textblob) (πŸ“₯ 1.1M / month Β· πŸ“¦ 340 Β· ⏱️ 22.10.2021): ``` pip install textblob ``` @@ -1624,52 +1624,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
haystack (πŸ₯ˆ36 Β· ⭐ 14K) - LLM orchestration framework to build customizable, production-ready.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“₯ 24 Β· πŸ“¦ 250 Β· πŸ“‹ 3.3K - 5% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/deepset-ai/haystack) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“₯ 24 Β· πŸ“¦ 270 Β· πŸ“‹ 3.3K - 5% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/deepset-ai/haystack ``` -- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 4.3K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/haystack) (πŸ“₯ 4.4K / month Β· πŸ“¦ 5 Β· ⏱️ 15.12.2021): ``` pip install haystack ```
NeMo (πŸ₯ˆ36 Β· ⭐ 10K) - A scalable generative AI framework built for researchers and.. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.1K Β· πŸ“₯ 170K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 5% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/NVIDIA/NeMo) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.1K Β· πŸ“₯ 170K Β· πŸ“¦ 21 Β· πŸ“‹ 2.2K - 5% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 51K / month Β· πŸ“¦ 10 Β· ⏱️ 28.02.2024): +- [PyPi](https://pypi.org/project/nemo-toolkit) (πŸ“₯ 49K / month Β· πŸ“¦ 10 Β· ⏱️ 28.02.2024): ``` pip install nemo-toolkit ```
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spark-nlp (πŸ₯ˆ36 Β· ⭐ 3.7K) - State of the Art Natural Language Processing. Apache-2 - -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 700 Β· πŸ“¦ 430 Β· πŸ“‹ 880 - 5% open Β· ⏱️ 02.05.2024): - - ``` - git clone https://github.com/JohnSnowLabs/spark-nlp - ``` -- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4.1M / month Β· πŸ“¦ 36 Β· ⏱️ 05.04.2024): - ``` - pip install spark-nlp - ``` -
fairseq (πŸ₯ˆ35 Β· ⭐ 29K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT -- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.2K Β· πŸ“₯ 330 Β· πŸ“¦ 3.1K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 13.03.2024): +- [GitHub](https://github.com/facebookresearch/fairseq) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 6.3K Β· πŸ“₯ 330 Β· πŸ“¦ 3.1K Β· πŸ“‹ 4.3K - 29% open Β· ⏱️ 13.03.2024): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 290K / month Β· πŸ“¦ 110 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (πŸ“₯ 310K / month Β· πŸ“¦ 110 Β· ⏱️ 27.06.2022): ``` pip install fairseq ``` -- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 66K Β· ⏱️ 03.12.2023): +- [Conda](https://anaconda.org/conda-forge/fairseq) (πŸ“₯ 67K Β· ⏱️ 17.05.2024): ``` conda install -c conda-forge fairseq ``` @@ -1681,19 +1669,31 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 13K / month Β· πŸ“¦ 18 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/OpenNMT-py) (πŸ“₯ 12K / month Β· πŸ“¦ 18 Β· ⏱️ 18.03.2024): ``` pip install OpenNMT-py ```
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torchtext (πŸ₯ˆ35 Β· ⭐ 3.4K) - Models, data loaders and abstractions for language processing,.. BSD-3 +
spark-nlp (πŸ₯ˆ35 Β· ⭐ 3.7K) - State of the Art Natural Language Processing. Apache-2 + +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 700 Β· πŸ“¦ 430 Β· πŸ“‹ 880 - 5% open Β· ⏱️ 02.05.2024): + + ``` + git clone https://github.com/JohnSnowLabs/spark-nlp + ``` +- [PyPi](https://pypi.org/project/spark-nlp) (πŸ“₯ 4.1M / month Β· πŸ“¦ 36 Β· ⏱️ 05.04.2024): + ``` + pip install spark-nlp + ``` +
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torchtext (πŸ₯ˆ35 Β· ⭐ 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3 - [GitHub](https://github.com/pytorch/text) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 810 Β· πŸ“‹ 840 - 38% open Β· ⏱️ 24.04.2024): ``` git clone https://github.com/pytorch/text ``` -- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 700K / month Β· πŸ“¦ 260 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchtext) (πŸ“₯ 720K / month Β· πŸ“¦ 260 Β· ⏱️ 24.04.2024): ``` pip install torchtext ``` @@ -1705,11 +1705,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 220 Β· ⏱️ 28.04.2020): +- [PyPi](https://pypi.org/project/fasttext) (πŸ“₯ 1.2M / month Β· πŸ“¦ 230 Β· ⏱️ 28.04.2020): ``` pip install fasttext ``` -- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 79K Β· ⏱️ 26.09.2023): +- [Conda](https://anaconda.org/conda-forge/fasttext) (πŸ“₯ 81K Β· ⏱️ 19.05.2024): ``` conda install -c conda-forge fasttext ``` @@ -1721,7 +1721,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 230K / month Β· πŸ“¦ 170 Β· ⏱️ 20.04.2024): +- [PyPi](https://pypi.org/project/stanza) (πŸ“₯ 260K / month Β· πŸ“¦ 170 Β· ⏱️ 20.04.2024): ``` pip install stanza ``` @@ -1737,30 +1737,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 7.5M / month Β· πŸ“¦ 200 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-text) (πŸ“₯ 7.6M / month Β· πŸ“¦ 200 Β· ⏱️ 11.03.2024): ``` pip install tensorflow-text ```
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rubrix (πŸ₯ˆ33 Β· ⭐ 3.1K) - Argilla is a collaboration platform for AI engineers and domain.. Apache-2 +
rubrix (πŸ₯ˆ33 Β· ⭐ 3.2K) - Argilla is a collaboration platform for AI engineers and domain.. Apache-2 -- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 86 Β· πŸ”€ 310 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/argilla-io/argilla) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 310 Β· πŸ“¦ 2.5K Β· πŸ“‹ 1.9K - 7% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/recognai/rubrix ``` -- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 1.1K / month Β· ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/rubrix) (πŸ“₯ 710 / month Β· ⏱️ 24.10.2022): ``` pip install rubrix ``` -- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 30K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/rubrix) (πŸ“₯ 31K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge rubrix ```
qdrant (πŸ₯ˆ32 Β· ⭐ 18K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 35K Β· πŸ“¦ 110 Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/qdrant/qdrant) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 1.2K Β· πŸ“₯ 37K Β· πŸ“¦ 110 Β· πŸ“‹ 1.1K - 20% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/qdrant/qdrant @@ -1773,14 +1773,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepmipt/DeepPavlov ``` -- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 10K / month Β· πŸ“¦ 4 Β· ⏱️ 13.03.2024): +- [PyPi](https://pypi.org/project/deeppavlov) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 13.03.2024): ``` pip install deeppavlov ```
ftfy (πŸ₯ˆ32 Β· ⭐ 3.7K) - Fixes mojibake and other glitches in Unicode text, after the fact. Apache-2 -- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 19K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 15.03.2024): +- [GitHub](https://github.com/rspeer/python-ftfy) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 120 Β· πŸ“¦ 20K Β· πŸ“‹ 140 - 13% open Β· ⏱️ 15.03.2024): ``` git clone https://github.com/rspeer/python-ftfy @@ -1796,16 +1796,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
jellyfish (πŸ₯ˆ32 Β· ⭐ 2K) - a python library for doing approximate and phonetic matching of strings. MIT -- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 160 Β· πŸ“¦ 8.9K Β· πŸ“‹ 130 - 4% open Β· ⏱️ 28.03.2024): +- [GitHub](https://github.com/jamesturk/jellyfish) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 160 Β· πŸ“¦ 9K Β· πŸ“‹ 130 - 4% open Β· ⏱️ 28.03.2024): ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 3.5M / month Β· πŸ“¦ 240 Β· ⏱️ 17.11.2023): +- [PyPi](https://pypi.org/project/jellyfish) (πŸ“₯ 3.7M / month Β· πŸ“¦ 240 Β· ⏱️ 17.11.2023): ``` pip install jellyfish ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 850K Β· ⏱️ 17.11.2023): +- [Conda](https://anaconda.org/conda-forge/jellyfish) (πŸ“₯ 860K Β· ⏱️ 17.11.2023): ``` conda install -c conda-forge jellyfish ``` @@ -1829,23 +1829,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 76K / month Β· πŸ“¦ 18 Β· ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/dedupe) (πŸ“₯ 69K / month Β· πŸ“¦ 18 Β· ⏱️ 17.02.2023): ``` pip install dedupe ``` -- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 48K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dedupe) (πŸ“₯ 49K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dedupe ```
TextDistance (πŸ₯ˆ30 Β· ⭐ 3.3K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 240 Β· πŸ“₯ 1K Β· πŸ“¦ 6.3K Β· ⏱️ 24.04.2024): +- [GitHub](https://github.com/life4/textdistance) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 240 Β· πŸ“₯ 1K Β· πŸ“¦ 6.4K Β· ⏱️ 24.04.2024): ``` git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 850K / month Β· πŸ“¦ 93 Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/textdistance) (πŸ“₯ 900K / month Β· πŸ“¦ 93 Β· ⏱️ 24.04.2024): ``` pip install textdistance ``` @@ -1856,28 +1856,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
SciSpacy (πŸ₯ˆ30 Β· ⭐ 1.6K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 890 Β· πŸ“‹ 310 - 9% open Β· ⏱️ 30.03.2024): +- [GitHub](https://github.com/allenai/scispacy) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 220 Β· πŸ“¦ 900 Β· πŸ“‹ 310 - 9% open Β· ⏱️ 30.03.2024): ``` git clone https://github.com/allenai/scispacy ``` -- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 27K / month Β· πŸ“¦ 31 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/scispacy) (πŸ“₯ 25K / month Β· πŸ“¦ 31 Β· ⏱️ 08.03.2024): ``` pip install scispacy ```
spacy-transformers (πŸ₯ˆ30 Β· ⭐ 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“¦ 1.6K Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/explosion/spacy-transformers) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 160 Β· πŸ“¦ 1.7K Β· ⏱️ 25.04.2024): ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 260K / month Β· πŸ“¦ 51 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/spacy-transformers) (πŸ“₯ 280K / month Β· πŸ“¦ 51 Β· ⏱️ 25.04.2024): ``` pip install spacy-transformers ``` -- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 33K Β· ⏱️ 19.12.2023): +- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (πŸ“₯ 34K Β· ⏱️ 19.12.2023): ``` conda install -c conda-forge spacy-transformers ``` @@ -1893,35 +1893,35 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install snowballstemmer ``` -- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 8M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/snowballstemmer) (πŸ“₯ 8.1M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge snowballstemmer ```
Sumy (πŸ₯ˆ29 Β· ⭐ 3.4K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 520 Β· πŸ“¦ 2.7K Β· πŸ“‹ 120 - 17% open Β· ⏱️ 24.02.2024): +- [GitHub](https://github.com/miso-belica/sumy) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 520 Β· πŸ“¦ 2.7K Β· πŸ“‹ 120 - 17% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/miso-belica/sumy ``` -- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 420K / month Β· πŸ“¦ 26 Β· ⏱️ 23.10.2022): +- [PyPi](https://pypi.org/project/sumy) (πŸ“₯ 430K / month Β· πŸ“¦ 26 Β· ⏱️ 23.10.2022): ``` pip install sumy ``` -- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 7.9K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sumy) (πŸ“₯ 8K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sumy ```
CLTK (πŸ₯ˆ28 Β· ⭐ 820) - The Classical Language Toolkit. MIT -- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 64 Β· πŸ“¦ 260 Β· πŸ“‹ 560 - 6% open Β· ⏱️ 12.05.2024): +- [GitHub](https://github.com/cltk/cltk) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 320 Β· πŸ“₯ 64 Β· πŸ“¦ 260 Β· πŸ“‹ 570 - 6% open Β· ⏱️ 12.05.2024): ``` git clone https://github.com/cltk/cltk ``` -- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 2.2K / month Β· πŸ“¦ 15 Β· ⏱️ 12.05.2024): +- [PyPi](https://pypi.org/project/cltk) (πŸ“₯ 1.6K / month Β· πŸ“¦ 15 Β· ⏱️ 12.05.2024): ``` pip install cltk ``` @@ -1933,7 +1933,7 @@ _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“₯ 48K / month Β· ⏱️ 06.06.2021): +- [PyPi](https://pypi.org/project/ciphey) (πŸ“₯ 45K / month Β· ⏱️ 06.06.2021): ``` pip install ciphey ``` @@ -1944,12 +1944,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
DeepKE (πŸ₯‰27 Β· ⭐ 3K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 630 Β· πŸ“¦ 21 Β· πŸ“‹ 470 - 0% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/zjunlp/DeepKE) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 630 Β· πŸ“¦ 21 Β· πŸ“‹ 480 - 0% open Β· ⏱️ 18.05.2024): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 750 / month Β· ⏱️ 21.09.2023): +- [PyPi](https://pypi.org/project/deepke) (πŸ“₯ 390 / month Β· ⏱️ 21.09.2023): ``` pip install deepke ``` @@ -1961,23 +1961,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/JasonKessler/scattertext ``` -- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 15K / month Β· πŸ“¦ 5 Β· ⏱️ 06.03.2024): +- [PyPi](https://pypi.org/project/scattertext) (πŸ“₯ 13K / month Β· πŸ“¦ 5 Β· ⏱️ 06.03.2024): ``` pip install scattertext ``` -- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 88K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/scattertext) (πŸ“₯ 89K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge scattertext ```
PyTextRank (πŸ₯‰26 Β· ⭐ 2.1K) - Python implementation of TextRank algorithms (textgraphs) for phrase.. MIT -- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 640 Β· πŸ“‹ 99 - 7% open Β· ⏱️ 21.02.2024): +- [GitHub](https://github.com/DerwenAI/pytextrank) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 340 Β· πŸ“¦ 650 Β· πŸ“‹ 100 - 8% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 43K / month Β· πŸ“¦ 17 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/pytextrank) (πŸ“₯ 42K / month Β· πŸ“¦ 17 Β· ⏱️ 21.02.2024): ``` pip install pytextrank ``` @@ -1996,12 +1996,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
promptsource (πŸ₯‰24 Β· ⭐ 2.5K Β· πŸ’€) - Toolkit for creating, sharing and using natural language.. Apache-2 -- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 340 Β· πŸ“¦ 93 Β· πŸ“‹ 190 - 22% open Β· ⏱️ 23.10.2023): +- [GitHub](https://github.com/bigscience-workshop/promptsource) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 340 Β· πŸ“¦ 94 Β· πŸ“‹ 190 - 22% open Β· ⏱️ 23.10.2023): ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 590 / month Β· πŸ“¦ 4 Β· ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/promptsource) (πŸ“₯ 750 / month Β· πŸ“¦ 4 Β· ⏱️ 18.04.2022): ``` pip install promptsource ``` @@ -2013,19 +2013,19 @@ _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“₯ 7.3K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): +- [PyPi](https://pypi.org/project/pytorch-nlp) (πŸ“₯ 6.7K / month Β· πŸ“¦ 19 Β· ⏱️ 04.11.2019): ``` pip install pytorch-nlp ```
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detoxify (πŸ₯‰24 Β· ⭐ 850) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
detoxify (πŸ₯‰24 Β· ⭐ 860) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 480K Β· πŸ“¦ 590 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/unitaryai/detoxify) (πŸ‘¨β€πŸ’» 12 Β· πŸ”€ 110 Β· πŸ“₯ 490K Β· πŸ“¦ 600 Β· πŸ“‹ 62 - 56% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 29K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): +- [PyPi](https://pypi.org/project/detoxify) (πŸ“₯ 31K / month Β· πŸ“¦ 15 Β· ⏱️ 01.02.2024): ``` pip install detoxify ``` @@ -2037,7 +2037,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/google-research/text-to-text-transfer-transformer ``` -- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 40K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (πŸ“₯ 41K / month Β· πŸ“¦ 2 Β· ⏱️ 18.10.2021): ``` pip install t5 ``` @@ -2049,55 +2049,55 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 8.8K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/texthero) (πŸ“₯ 8.3K / month Β· πŸ“¦ 6 Β· ⏱️ 01.07.2021): ``` pip install texthero ```
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Sockeye (πŸ₯‰23 Β· ⭐ 1.2K Β· πŸ’€) - Sequence-to-sequence framework with a focus on Neural.. Apache-2 +
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“₯ 18 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 17.10.2023): +- [GitHub](https://github.com/awslabs/sockeye) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 330 Β· πŸ“₯ 18 Β· πŸ“‹ 310 - 3% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.7K / month Β· ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (πŸ“₯ 1.5K / month Β· ⏱️ 03.03.2023): ``` pip install sockeye ```
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fast-bert (πŸ₯‰22 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 +
happy-transformer (πŸ₯‰22 Β· ⭐ 510) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface -- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 63% open Β· ⏱️ 30.01.2024): +- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 65 Β· πŸ“¦ 250 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 19.03.2024): ``` - git clone https://github.com/utterworks/fast-bert + git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.5K / month Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.7K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): ``` - pip install fast-bert + pip install happytransformer ```
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happy-transformer (πŸ₯‰22 Β· ⭐ 510) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface +
fast-bert (πŸ₯‰21 Β· ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 -- [GitHub](https://github.com/EricFillion/happy-transformer) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 65 Β· πŸ“¦ 250 Β· πŸ“‹ 130 - 14% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/utterworks/fast-bert) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“‹ 260 - 63% open Β· ⏱️ 30.01.2024): ``` - git clone https://github.com/EricFillion/happy-transformer + git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/happytransformer) (πŸ“₯ 2.9K / month Β· πŸ“¦ 5 Β· ⏱️ 05.08.2023): +- [PyPi](https://pypi.org/project/fast-bert) (πŸ“₯ 1.1K / month Β· ⏱️ 30.01.2024): ``` - pip install happytransformer + pip install fast-bert ```
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UForm (πŸ₯‰21 Β· ⭐ 900) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 +
UForm (πŸ₯‰21 Β· ⭐ 910) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2 -- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 51 Β· πŸ“₯ 260 Β· πŸ“¦ 6 Β· πŸ“‹ 24 - 20% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/unum-cloud/uform) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 53 Β· πŸ“₯ 270 Β· πŸ“¦ 6 Β· πŸ“‹ 24 - 20% open Β· ⏱️ 25.04.2024): ``` git clone https://github.com/unum-cloud/uform ``` -- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/uform) (πŸ“₯ 1.1K / month Β· πŸ“¦ 1 Β· ⏱️ 25.04.2024): ``` pip install uform ``` @@ -2109,23 +2109,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/IndicoDataSolutions/finetune ``` -- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 290 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): +- [PyPi](https://pypi.org/project/finetune) (πŸ“₯ 200 / month Β· πŸ“¦ 2 Β· ⏱️ 29.09.2023): ``` pip install finetune ```
small-text (πŸ₯‰21 Β· ⭐ 520) - Active Learning for Text Classification in Python. MIT -- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 57 Β· πŸ“¦ 28 Β· πŸ“‹ 52 - 28% open Β· ⏱️ 29.12.2023): +- [GitHub](https://github.com/webis-de/small-text) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 57 Β· πŸ“¦ 28 Β· πŸ“‹ 54 - 31% open Β· ⏱️ 29.12.2023): ``` git clone https://github.com/webis-de/small-text ``` -- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 690 / month Β· ⏱️ 29.12.2023): +- [PyPi](https://pypi.org/project/small-text) (πŸ“₯ 650 / month Β· ⏱️ 29.12.2023): ``` pip install small-text ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 5.9K Β· ⏱️ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/small-text) (πŸ“₯ 6K Β· ⏱️ 29.12.2023): ``` conda install -c conda-forge small-text ``` @@ -2137,19 +2137,19 @@ _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“₯ 3.8K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (πŸ“₯ 3.2K / month Β· πŸ“¦ 2 Β· ⏱️ 03.11.2022): ``` pip install lightseq ```
textaugment (πŸ₯‰18 Β· ⭐ 380) - TextAugment: Text Augmentation Library. MIT -- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 61 Β· πŸ“₯ 69 Β· πŸ“¦ 93 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): +- [GitHub](https://github.com/dsfsi/textaugment) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 61 Β· πŸ“₯ 69 Β· πŸ“¦ 94 Β· πŸ“‹ 29 - 37% open Β· ⏱️ 17.11.2023): ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.7K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/textaugment) (πŸ“₯ 4.6K / month Β· πŸ“¦ 4 Β· ⏱️ 16.11.2023): ``` pip install textaugment ``` @@ -2181,7 +2181,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 130 / month Β· ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (πŸ“₯ 100 / month Β· ⏱️ 07.08.2020): ``` pip install vizseq ``` @@ -2195,18 +2195,18 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - GluonNLP (πŸ₯ˆ29 Β· ⭐ 2.6K Β· πŸ’€) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 - english-words (πŸ₯ˆ28 Β· ⭐ 10K Β· πŸ’€) - A text file containing 479k English words for all your.. Unlicense - vaderSentiment (πŸ₯ˆ28 Β· ⭐ 4.3K Β· πŸ’€) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT -- fastNLP (πŸ₯ˆ28 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 - langid (πŸ₯ˆ28 Β· ⭐ 2.2K Β· πŸ’€) - Stand-alone language identification system. BSD-3 +- fastNLP (πŸ₯‰27 Β· ⭐ 3K Β· πŸ’€) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2 +- polyglot (πŸ₯‰27 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - textacy (πŸ₯‰27 Β· ⭐ 2.2K Β· πŸ’€) - NLP, before and after spaCy. ❗Unlicensed -- flashtext (πŸ₯‰26 Β· ⭐ 5.5K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT -- polyglot (πŸ₯‰26 Β· ⭐ 2.3K Β· πŸ’€) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 +- flashtext (πŸ₯‰26 Β· ⭐ 5.6K Β· πŸ’€) - Extract Keywords from sentence or Replace keywords in sentences. MIT - underthesea (πŸ₯‰26 Β· ⭐ 1.3K Β· πŸ’€) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 -- PyText (πŸ₯‰25 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - Snips NLU (πŸ₯‰25 Β· ⭐ 3.9K 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 - sense2vec (πŸ₯‰25 Β· ⭐ 1.6K Β· πŸ’€) - Contextually-keyed word vectors. MIT -- pySBD (πŸ₯‰25 Β· ⭐ 730 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT +- pySBD (πŸ₯‰25 Β· ⭐ 740 Β· πŸ’€) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT - whoosh (πŸ₯‰25 Β· ⭐ 540 Β· πŸ’€) - Pure-Python full-text search library. ❗️BSD-1-Clause +- PyText (πŸ₯‰24 Β· ⭐ 6.3K Β· πŸ’€) - A natural language modeling framework based on PyTorch. BSD-3 - textgenrnn (πŸ₯‰24 Β· ⭐ 4.9K Β· πŸ’€) - Easily train your own text-generating neural network of any.. MIT - MatchZoo (πŸ₯‰24 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 @@ -2220,13 +2220,13 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - NLP Architect (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - A model library for exploring state-of-the-art deep.. Apache-2 - DELTA (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (πŸ₯‰20 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 -- fastT5 (πŸ₯‰19 Β· ⭐ 540 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - textpipe (πŸ₯‰19 Β· ⭐ 300 Β· πŸ’€) - Textpipe: clean and extract metadata from text. MIT +- pyfasttext (πŸ₯‰19 Β· ⭐ 230 Β· πŸ’€) - Yet another Python binding for fastText. ❗️GPL-3.0 - numerizer (πŸ₯‰19 Β· ⭐ 210 Β· πŸ’€) - A Python module to convert natural language numerics into ints and.. MIT -- NeuroNER (πŸ₯‰18 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (πŸ₯‰18 Β· ⭐ 670 Β· πŸ’€) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 +- fastT5 (πŸ₯‰18 Β· ⭐ 540 Β· πŸ’€) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - Camphr (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy +- NeuroNER (πŸ₯‰17 Β· ⭐ 1.7K Β· πŸ’€) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - skift (πŸ₯‰16 Β· ⭐ 240 Β· πŸ’€) - scikit-learn wrappers for Python fastText. MIT - BLINK (πŸ₯‰15 Β· ⭐ 1.1K Β· πŸ’€) - Entity Linker solution. MIT - Translate (πŸ₯‰15 Β· ⭐ 820 Β· πŸ’€) - Translate - a PyTorch Language Library. BSD-3 @@ -2247,12 +2247,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (πŸ₯‡48 Β· ⭐ 12K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.7M Β· πŸ“‹ 3.1K - 3% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/python-pillow/Pillow) (πŸ‘¨β€πŸ’» 470 Β· πŸ”€ 2.1K Β· πŸ“¦ 1.7M Β· πŸ“‹ 3.1K - 3% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 97M / month Β· πŸ“¦ 4.2K Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/Pillow) (πŸ“₯ 98M / month Β· πŸ“¦ 4.2K Β· ⏱️ 01.04.2024): ``` pip install Pillow ``` @@ -2263,12 +2263,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
torchvision (πŸ₯‡42 Β· ⭐ 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 6.8K Β· πŸ“₯ 38K Β· πŸ“¦ 21 Β· πŸ“‹ 3.4K - 29% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/pytorch/vision) (πŸ‘¨β€πŸ’» 590 Β· πŸ”€ 6.8K Β· πŸ“₯ 38K Β· πŸ“¦ 21 Β· πŸ“‹ 3.4K - 29% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/pytorch/vision ``` -- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 13M / month Β· πŸ“¦ 4.8K Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchvision) (πŸ“₯ 14M / month Β· πŸ“¦ 4.9K Β· ⏱️ 24.04.2024): ``` pip install torchvision ``` @@ -2277,14 +2277,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge torchvision ```
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PyTorch Image Models (πŸ₯‡41 Β· ⭐ 30K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 +
PyTorch Image Models (πŸ₯‡41 Β· ⭐ 30K) - The largest collection of PyTorch image encoders /.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4.6K Β· πŸ“₯ 6.6M Β· πŸ“¦ 28K Β· πŸ“‹ 870 - 7% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 4.6K Β· πŸ“₯ 6.6M Β· πŸ“¦ 29K Β· πŸ“‹ 870 - 7% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5.1M / month Β· πŸ“¦ 730 Β· ⏱️ 15.05.2024): +- [PyPi](https://pypi.org/project/timm) (πŸ“₯ 5.3M / month Β· πŸ“¦ 750 Β· ⏱️ 15.05.2024): ``` pip install timm ``` @@ -2300,14 +2300,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 210K / month Β· πŸ“¦ 64 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/mmdet) (πŸ“₯ 190K / month Β· πŸ“¦ 64 Β· ⏱️ 05.01.2024): ``` pip install mmdet ```
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Albumentations (πŸ₯‡38 Β· ⭐ 13K) - Fast image augmentation library and an easy-to-use wrapper.. MIT +
Albumentations (πŸ₯‡38 Β· ⭐ 14K) - Fast image augmentation library and an easy-to-use wrapper.. MIT -- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.6K Β· πŸ“¦ 23K Β· πŸ“‹ 940 - 45% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/albumentations-team/albumentations) (πŸ‘¨β€πŸ’» 140 Β· πŸ”€ 1.6K Β· πŸ“¦ 24K Β· πŸ“‹ 950 - 45% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/albumentations-team/albumentations @@ -2316,19 +2316,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install albumentations ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 160K Β· ⏱️ 05.03.2024): +- [Conda](https://anaconda.org/conda-forge/albumentations) (πŸ“₯ 170K Β· ⏱️ 05.03.2024): ``` conda install -c conda-forge albumentations ```
Kornia (πŸ₯‡38 Β· ⭐ 9.5K) - Geometric Computer Vision Library for Spatial AI. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 940 Β· πŸ“₯ 1.1K Β· πŸ“¦ 9.8K Β· πŸ“‹ 900 - 29% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/kornia/kornia) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 940 Β· πŸ“₯ 1.1K Β· πŸ“¦ 9.9K Β· πŸ“‹ 910 - 29% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 1.5M / month Β· πŸ“¦ 240 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/kornia) (πŸ“₯ 1.4M / month Β· πŸ“¦ 240 Β· ⏱️ 14.03.2024): ``` pip install kornia ``` @@ -2344,7 +2344,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1.1M / month Β· πŸ“¦ 790 Β· ⏱️ 15.12.2021): +- [PyPi](https://pypi.org/project/moviepy) (πŸ“₯ 1.1M / month Β· πŸ“¦ 800 Β· ⏱️ 15.12.2021): ``` pip install moviepy ``` @@ -2355,7 +2355,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
deepface (πŸ₯ˆ37 Β· ⭐ 10K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 61 Β· πŸ”€ 1.8K Β· πŸ“¦ 3.1K Β· πŸ“‹ 1K - 0% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/serengil/deepface) (πŸ‘¨β€πŸ’» 62 Β· πŸ”€ 1.8K Β· πŸ“¦ 3.2K Β· πŸ“‹ 1K - 0% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/serengil/deepface @@ -2367,7 +2367,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageio (πŸ₯ˆ37 Β· ⭐ 1.4K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 280 Β· πŸ“₯ 1K Β· πŸ“¦ 130K Β· πŸ“‹ 600 - 17% open Β· ⏱️ 11.05.2024): +- [GitHub](https://github.com/imageio/imageio) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“₯ 1K Β· πŸ“¦ 130K Β· πŸ“‹ 600 - 17% open Β· ⏱️ 11.05.2024): ``` git clone https://github.com/imageio/imageio @@ -2376,38 +2376,38 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 6.3M Β· ⏱️ 22.04.2024): +- [Conda](https://anaconda.org/conda-forge/imageio) (πŸ“₯ 6.4M Β· ⏱️ 22.04.2024): ``` conda install -c conda-forge imageio ```
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InsightFace (πŸ₯ˆ36 Β· ⭐ 21K) - State-of-the-art 2D and 3D Face Analysis Project. MIT +
InsightFace (πŸ₯ˆ36 Β· ⭐ 22K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 5.2K Β· πŸ“₯ 3.1M Β· πŸ“¦ 2.1K Β· πŸ“‹ 2.4K - 44% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/deepinsight/insightface) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 5.2K Β· πŸ“₯ 3.2M Β· πŸ“¦ 2.1K Β· πŸ“‹ 2.4K - 44% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 390K / month Β· πŸ“¦ 20 Β· ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (πŸ“₯ 380K / month Β· πŸ“¦ 20 Β· ⏱️ 17.12.2022): ``` pip install insightface ```
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opencv-python (πŸ₯ˆ36 Β· ⭐ 4.2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT +
opencv-python (πŸ₯ˆ35 Β· ⭐ 4.2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 800 Β· πŸ“¦ 390K Β· πŸ“‹ 770 - 14% open Β· ⏱️ 31.12.2023): +- [GitHub](https://github.com/opencv/opencv-python) (πŸ‘¨β€πŸ’» 48 Β· πŸ”€ 800 Β· πŸ“¦ 390K Β· πŸ“‹ 780 - 14% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 14M / month Β· πŸ“¦ 9.3K Β· ⏱️ 31.12.2023): +- [PyPi](https://pypi.org/project/opencv-python) (πŸ“₯ 14M / month Β· πŸ“¦ 9.4K Β· ⏱️ 31.12.2023): ``` pip install opencv-python ```
detectron2 (πŸ₯ˆ34 Β· ⭐ 29K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.2K Β· πŸ“¦ 1.8K Β· πŸ“‹ 3.5K - 13% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/facebookresearch/detectron2) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 7.2K Β· πŸ“¦ 1.8K Β· πŸ“‹ 3.5K - 13% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/facebookresearch/detectron2 @@ -2416,7 +2416,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install detectron2 ``` -- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 250K Β· ⏱️ 18.01.2024): +- [Conda](https://anaconda.org/conda-forge/detectron2) (πŸ“₯ 260K Β· ⏱️ 19.05.2024): ``` conda install -c conda-forge detectron2 ``` @@ -2428,18 +2428,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/emcconville/wand ``` -- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 810K / month Β· πŸ“¦ 240 Β· ⏱️ 03.11.2023): +- [PyPi](https://pypi.org/project/wand) (πŸ“₯ 840K / month Β· πŸ“¦ 240 Β· ⏱️ 03.11.2023): ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 45K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/wand) (πŸ“₯ 46K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge wand ```
PaddleSeg (πŸ₯ˆ32 Β· ⭐ 8.3K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.1K - 10% open Β· ⏱️ 08.03.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 1.6K Β· πŸ“¦ 1.2K Β· πŸ“‹ 2.1K - 10% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/PaddlePaddle/PaddleSeg @@ -2449,118 +2449,106 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install paddleseg ```
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lightly (πŸ₯ˆ31 Β· ⭐ 2.8K) - A python library for self-supervised learning on images. MIT +
imageai (πŸ₯ˆ31 Β· ⭐ 8.4K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 240 Β· πŸ“¦ 250 Β· πŸ“‹ 520 - 18% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.2K Β· πŸ“₯ 920K Β· πŸ“¦ 1.6K Β· πŸ“‹ 760 - 40% open Β· ⏱️ 20.02.2024): ``` - git clone https://github.com/lightly-ai/lightly + git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 32K / month Β· πŸ“¦ 7 Β· ⏱️ 16.05.2024): +- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 9.3K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): ``` - pip install lightly + pip install imageai + ``` +- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 7.1K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge imageai ```
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vit-pytorch (πŸ₯ˆ30 Β· ⭐ 18K) - Implementation of Vision Transformer, a simple way to achieve.. MIT +
ImageHash (πŸ₯ˆ31 Β· ⭐ 3K Β· πŸ’€) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.8K Β· πŸ“¦ 460 Β· πŸ“‹ 260 - 46% open Β· ⏱️ 11.05.2024): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 13K Β· πŸ“‹ 140 - 10% open Β· ⏱️ 24.10.2023): ``` - git clone https://github.com/lucidrains/vit-pytorch + git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 23K / month Β· πŸ“¦ 11 Β· ⏱️ 11.05.2024): +- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.7M / month Β· πŸ“¦ 220 Β· ⏱️ 28.09.2022): ``` - pip install vit-pytorch + pip install ImageHash + ``` +- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 370K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge imagehash ```
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imageai (πŸ₯ˆ30 Β· ⭐ 8.4K) - A python library built to empower developers to build applications and.. MIT +
lightly (πŸ₯ˆ31 Β· ⭐ 2.8K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.2K Β· πŸ“₯ 920K Β· πŸ“¦ 1.6K Β· πŸ“‹ 760 - 40% open Β· ⏱️ 20.02.2024): +- [GitHub](https://github.com/lightly-ai/lightly) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 240 Β· πŸ“¦ 260 Β· πŸ“‹ 520 - 19% open Β· ⏱️ 22.05.2024): ``` - git clone https://github.com/OlafenwaMoses/ImageAI - ``` -- [PyPi](https://pypi.org/project/imageai) (πŸ“₯ 8.2K / month Β· πŸ“¦ 19 Β· ⏱️ 02.01.2023): - ``` - pip install imageai + git clone https://github.com/lightly-ai/lightly ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (πŸ“₯ 7.1K Β· ⏱️ 16.06.2023): +- [PyPi](https://pypi.org/project/lightly) (πŸ“₯ 31K / month Β· πŸ“¦ 11 Β· ⏱️ 16.05.2024): ``` - conda install -c conda-forge imageai + pip install lightly ```
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sahi (πŸ₯ˆ30 Β· ⭐ 3.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT +
vit-pytorch (πŸ₯ˆ30 Β· ⭐ 18K) - Implementation of Vision Transformer, a simple way to achieve.. MIT -- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 530 Β· πŸ“₯ 24K Β· πŸ“¦ 1.1K Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/lucidrains/vit-pytorch) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 2.8K Β· πŸ“¦ 470 Β· πŸ“‹ 260 - 46% open Β· ⏱️ 11.05.2024): ``` - git clone https://github.com/obss/sahi - ``` -- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 120K / month Β· πŸ“¦ 13 Β· ⏱️ 05.11.2023): - ``` - pip install sahi + git clone https://github.com/lucidrains/vit-pytorch ``` -- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 57K Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/vit-pytorch) (πŸ“₯ 22K / month Β· πŸ“¦ 11 Β· ⏱️ 11.05.2024): ``` - conda install -c conda-forge sahi + pip install vit-pytorch ```
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ImageHash (πŸ₯ˆ30 Β· ⭐ 3K Β· πŸ’€) - A Python Perceptual Image Hashing Module. BSD-2 +
sahi (πŸ₯ˆ30 Β· ⭐ 3.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/JohannesBuchner/imagehash) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 320 Β· πŸ“¦ 13K Β· πŸ“‹ 140 - 11% open Β· ⏱️ 24.10.2023): +- [GitHub](https://github.com/obss/sahi) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 540 Β· πŸ“₯ 25K Β· πŸ“¦ 1.1K Β· ⏱️ 20.05.2024): ``` - git clone https://github.com/JohannesBuchner/imagehash + git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/ImageHash) (πŸ“₯ 1.7M / month Β· πŸ“¦ 210 Β· ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/sahi) (πŸ“₯ 110K / month Β· πŸ“¦ 25 Β· ⏱️ 20.05.2024): ``` - pip install ImageHash + pip install sahi ``` -- [Conda](https://anaconda.org/conda-forge/imagehash) (πŸ“₯ 370K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sahi) (πŸ“₯ 58K Β· ⏱️ 21.05.2024): ``` - conda install -c conda-forge imagehash + conda install -c conda-forge sahi ```
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doctr (πŸ₯‰29 Β· ⭐ 3.1K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 +
doctr (πŸ₯‰29 Β· ⭐ 3.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 -- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 360 Β· πŸ“₯ 2.9M Β· πŸ“‹ 340 - 9% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/mindee/doctr) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 360 Β· πŸ“₯ 2.9M Β· πŸ“‹ 340 - 9% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 31K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/python-doctr) (πŸ“₯ 32K / month Β· πŸ“¦ 3 Β· ⏱️ 04.03.2024): ``` pip install python-doctr ```
mahotas (πŸ₯‰29 Β· ⭐ 830) - Computer Vision in Python. MIT -- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.3K Β· πŸ“‹ 90 - 23% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/luispedro/mahotas) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 150 Β· πŸ“¦ 1.3K Β· πŸ“‹ 89 - 22% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 18K / month Β· πŸ“¦ 60 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/mahotas) (πŸ“₯ 17K / month Β· πŸ“¦ 60 Β· ⏱️ 17.04.2024): ``` pip install mahotas ``` -- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 410K Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/mahotas) (πŸ“₯ 410K Β· ⏱️ 18.05.2024): ``` conda install -c conda-forge mahotas ```
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PaddleDetection (πŸ₯‰28 Β· ⭐ 12K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 - -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.8K Β· πŸ“‹ 5.3K - 22% open Β· ⏱️ 28.12.2023): - - ``` - git clone https://github.com/PaddlePaddle/PaddleDetection - ``` -- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 730 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): - ``` - pip install paddledet - ``` -
Face Alignment (πŸ₯‰28 Β· ⭐ 6.8K Β· πŸ’€) - 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“¦ 21 Β· πŸ“‹ 320 - 24% open Β· ⏱️ 16.08.2023): @@ -2568,14 +2556,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/1adrianb/face-alignment ``` -- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 79K / month Β· πŸ“¦ 9 Β· ⏱️ 17.08.2023): +- [PyPi](https://pypi.org/project/face-alignment) (πŸ“₯ 78K / month Β· πŸ“¦ 9 Β· ⏱️ 17.08.2023): ``` pip install face-alignment ```
facenet-pytorch (πŸ₯‰28 Β· ⭐ 4.2K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 920 Β· πŸ“₯ 970K Β· πŸ“¦ 1.8K Β· πŸ“‹ 180 - 39% open Β· ⏱️ 05.04.2024): +- [GitHub](https://github.com/timesler/facenet-pytorch) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 920 Β· πŸ“₯ 990K Β· πŸ“¦ 1.8K Β· πŸ“‹ 180 - 39% open Β· ⏱️ 05.04.2024): ``` git clone https://github.com/timesler/facenet-pytorch @@ -2585,9 +2573,21 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install facenet-pytorch ```
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PaddleDetection (πŸ₯‰27 Β· ⭐ 12K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 + +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 2.8K Β· πŸ“‹ 5.3K - 22% open Β· ⏱️ 22.05.2024): + + ``` + git clone https://github.com/PaddlePaddle/PaddleDetection + ``` +- [PyPi](https://pypi.org/project/paddledet) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 19.09.2022): + ``` + pip install paddledet + ``` +
vidgear (πŸ₯‰27 Β· ⭐ 3.2K Β· πŸ’€) - A High-performance cross-platform Video Processing Python.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 1.3K Β· πŸ“¦ 540 Β· πŸ“‹ 280 - 2% open Β· ⏱️ 10.09.2023): +- [GitHub](https://github.com/abhiTronix/vidgear) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 240 Β· πŸ“₯ 1.3K Β· πŸ“¦ 540 Β· πŸ“‹ 280 - 3% open Β· ⏱️ 10.09.2023): ``` git clone https://github.com/abhiTronix/vidgear @@ -2604,7 +2604,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 660 / month Β· πŸ“¦ 2 Β· ⏱️ 14.08.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (πŸ“₯ 510 / month Β· πŸ“¦ 2 Β· ⏱️ 14.08.2023): ``` pip install cellprofiler ``` @@ -2616,7 +2616,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pytorchvideo ``` -- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 95K / month Β· πŸ“¦ 23 Β· ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/pytorchvideo) (πŸ“₯ 94K / month Β· πŸ“¦ 23 Β· ⏱️ 20.01.2022): ``` pip install pytorchvideo ``` @@ -2628,35 +2628,47 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 17K / month Β· πŸ“¦ 4 Β· ⏱️ 30.05.2022): +- [PyPi](https://pypi.org/project/norfair) (πŸ“₯ 18K / month Β· πŸ“¦ 4 Β· ⏱️ 30.05.2022): ``` pip install norfair ```
ffcv (πŸ₯‰25 Β· ⭐ 2.8K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 170 Β· πŸ“¦ 44 Β· πŸ“‹ 270 - 35% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/libffcv/ffcv) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 170 Β· πŸ“¦ 45 Β· πŸ“‹ 270 - 35% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.9K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.01.2022): ``` pip install ffcv ```
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pyvips (πŸ₯‰25 Β· ⭐ 590) - python binding for libvips using cffi. MIT +
kubric (πŸ₯‰25 Β· ⭐ 2.2K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 + +- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 3 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 22.05.2024): + + ``` + git clone https://github.com/google-research/kubric + ``` +- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 3.3K / month Β· ⏱️ 27.12.2023): + ``` + pip install kubric-nightly + ``` +
+
pyvips (πŸ₯‰25 Β· ⭐ 600) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 710 Β· πŸ“‹ 410 - 42% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/libvips/pyvips) (πŸ‘¨β€πŸ’» 16 Β· πŸ”€ 50 Β· πŸ“¦ 720 Β· πŸ“‹ 410 - 42% open Β· ⏱️ 28.04.2024): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 43K / month Β· πŸ“¦ 73 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/pyvips) (πŸ“₯ 44K / month Β· πŸ“¦ 73 Β· ⏱️ 28.04.2024): ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 82K Β· ⏱️ 28.04.2024): +- [Conda](https://anaconda.org/conda-forge/pyvips) (πŸ“₯ 84K Β· ⏱️ 28.04.2024): ``` conda install -c conda-forge pyvips ``` @@ -2668,23 +2680,11 @@ _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“₯ 40K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (πŸ“₯ 43K / month Β· πŸ“¦ 11 Β· ⏱️ 03.12.2021): ``` pip install tensorflow-graphics ```
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kubric (πŸ₯‰24 Β· ⭐ 2.2K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2 - -- [GitHub](https://github.com/google-research/kubric) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 210 Β· πŸ“¦ 3 Β· πŸ“‹ 190 - 32% open Β· ⏱️ 04.04.2024): - - ``` - git clone https://github.com/google-research/kubric - ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (πŸ“₯ 7.4K / month Β· ⏱️ 27.12.2023): - ``` - pip install kubric-nightly - ``` -
MMF (πŸ₯‰23 Β· ⭐ 5.4K) - A modular framework for vision & language multimodal research from.. BSD-3 - [GitHub](https://github.com/facebookresearch/mmf) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 920 Β· πŸ“¦ 17 Β· πŸ“‹ 690 - 21% open Β· ⏱️ 03.03.2024): @@ -2692,31 +2692,39 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (πŸ“₯ 350 / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2020): ``` pip install mmf ```
vissl (πŸ₯‰22 Β· ⭐ 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT -- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“¦ 39 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): +- [GitHub](https://github.com/facebookresearch/vissl) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 330 Β· πŸ“¦ 40 Β· πŸ“‹ 190 - 43% open Β· ⏱️ 03.03.2024): ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 180 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (πŸ“₯ 160 / month Β· πŸ“¦ 1 Β· ⏱️ 02.11.2021): ``` pip install vissl ```
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DEβ«ΆTR (πŸ₯‰21 Β· ⭐ 13K) - End-to-End Object Detection with Transformers. Apache-2 + +- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 47% open Β· ⏱️ 12.03.2024): + + ``` + git clone https://github.com/facebookresearch/detr + ``` +
PySlowFast (πŸ₯‰21 Β· ⭐ 6.3K Β· πŸ’€) - PySlowFast: video understanding codebase from FAIR for.. Apache-2 -- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.2K Β· πŸ“¦ 15 Β· πŸ“‹ 680 - 57% open Β· ⏱️ 19.10.2023): +- [GitHub](https://github.com/facebookresearch/SlowFast) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 1.2K Β· πŸ“¦ 16 Β· πŸ“‹ 680 - 57% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 42 / month Β· ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (πŸ“₯ 33 / month Β· ⏱️ 15.01.2020): ``` pip install pyslowfast ``` @@ -2733,17 +2741,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install pycls ```
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DEβ«ΆTR (πŸ₯‰20 Β· ⭐ 13K) - End-to-End Object Detection with Transformers. Apache-2 - -- [GitHub](https://github.com/facebookresearch/detr) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 2.3K Β· πŸ“¦ 21 Β· πŸ“‹ 540 - 47% open Β· ⏱️ 12.03.2024): - - ``` - git clone https://github.com/facebookresearch/detr - ``` -
scenic (πŸ₯‰18 Β· ⭐ 3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 400 Β· πŸ“‹ 260 - 56% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/google-research/scenic) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 400 Β· πŸ“‹ 260 - 56% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/google-research/scenic @@ -2752,17 +2752,17 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 26 hidden projects... - scikit-image (πŸ₯‡42 Β· ⭐ 5.9K) - Image processing in Python. ❗Unlicensed -- glfw (πŸ₯‡38 Β· ⭐ 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (πŸ₯ˆ37 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT +- glfw (πŸ₯ˆ37 Β· ⭐ 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - Face Recognition (πŸ₯ˆ32 Β· ⭐ 52K Β· πŸ’€) - The worlds simplest facial recognition api for Python.. MIT - PyTorch3D (πŸ₯ˆ32 Β· ⭐ 8.4K) - PyTorch3D is FAIRs library of reusable components for.. ❗Unlicensed - imutils (πŸ₯ˆ31 Β· ⭐ 4.5K Β· πŸ’€) - A series of convenience functions to make basic image processing.. MIT - GluonCV (πŸ₯ˆ30 Β· ⭐ 5.8K Β· πŸ’€) - Gluon CV Toolkit. Apache-2 - layout-parser (πŸ₯‰28 Β· ⭐ 4.5K Β· πŸ’€) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 -- mtcnn (πŸ₯‰28 Β· ⭐ 2.1K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - Augmentor (πŸ₯‰27 Β· ⭐ 5K Β· πŸ’€) - Image augmentation library in Python for machine learning. MIT - chainercv (πŸ₯‰27 Β· ⭐ 1.5K Β· πŸ’€) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT - Image Deduplicator (πŸ₯‰25 Β· ⭐ 5K Β· πŸ’€) - Finding duplicate images made easy!. Apache-2 +- mtcnn (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - Pillow-SIMD (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - The friendly PIL fork. ❗️PIL - segmentation_models (πŸ₯‰24 Β· ⭐ 4.6K Β· πŸ’€) - Segmentation models with pretrained backbones. Keras.. MIT - Image Super-Resolution (πŸ₯‰24 Β· ⭐ 4.5K Β· πŸ’€) - Super-scale your images and run experiments with.. Apache-2 @@ -2788,12 +2788,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (πŸ₯‡44 Β· ⭐ 14K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.1K Β· πŸ“₯ 71 Β· πŸ“¦ 250K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/networkx/networkx) (πŸ‘¨β€πŸ’» 720 Β· πŸ”€ 3.1K Β· πŸ“₯ 71 Β· πŸ“¦ 260K Β· πŸ“‹ 3.3K - 9% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/networkx/networkx ``` -- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 54M / month Β· πŸ“¦ 8.3K Β· ⏱️ 06.04.2024): +- [PyPi](https://pypi.org/project/networkx) (πŸ“₯ 54M / month Β· πŸ“¦ 8.4K Β· ⏱️ 06.04.2024): ``` pip install networkx ``` @@ -2804,23 +2804,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (πŸ₯‡38 Β· ⭐ 20K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.6K - 26% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (πŸ‘¨β€πŸ’» 500 Β· πŸ”€ 3.5K Β· πŸ“‹ 3.6K - 27% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/pyg-team/pytorch_geometric ``` -- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 290K / month Β· πŸ“¦ 240 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/torch-geometric) (πŸ“₯ 290K / month Β· πŸ“¦ 250 Β· ⏱️ 19.04.2024): ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 41K Β· ⏱️ 04.05.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (πŸ“₯ 42K Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge pytorch_geometric ```
dgl (πŸ₯‡38 Β· ⭐ 13K) - 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’» 290 Β· πŸ”€ 3K Β· πŸ“¦ 240 Β· πŸ“‹ 2.8K - 18% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/dmlc/dgl) (πŸ‘¨β€πŸ’» 290 Β· πŸ”€ 3K Β· πŸ“¦ 240 Β· πŸ“‹ 2.8K - 18% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/dmlc/dgl @@ -2837,7 +2837,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/ampligraph) (πŸ“₯ 1.2K / month Β· πŸ“¦ 1 Β· ⏱️ 26.02.2024): ``` pip install ampligraph ``` @@ -2849,7 +2849,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graphistry/pygraphistry ``` -- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 4.8K / month Β· πŸ“¦ 6 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/graphistry) (πŸ“₯ 4.1K / month Β· πŸ“¦ 6 Β· ⏱️ 30.04.2024): ``` pip install graphistry ``` @@ -2861,7 +2861,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 8.6K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): +- [PyPi](https://pypi.org/project/spektral) (πŸ“₯ 9.9K / month Β· πŸ“¦ 7 Β· ⏱️ 21.01.2024): ``` pip install spektral ``` @@ -2873,7 +2873,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 34K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (πŸ“₯ 36K / month Β· πŸ“¦ 22 Β· ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -2882,40 +2882,40 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge ogb ```
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PyKEEN (πŸ₯ˆ27 Β· ⭐ 1.5K) - A Python library for learning and evaluating knowledge graph embeddings. MIT +
PyKEEN (πŸ₯ˆ26 Β· ⭐ 1.5K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 180 Β· πŸ“₯ 180 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 04.05.2024): +- [GitHub](https://github.com/pykeen/pykeen) (πŸ‘¨β€πŸ’» 38 Β· πŸ”€ 180 Β· πŸ“₯ 180 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 17.05.2024): ``` git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 5K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/pykeen) (πŸ“₯ 5.3K / month Β· πŸ“¦ 6 Β· ⏱️ 19.02.2024): ``` pip install pykeen ```
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Paddle Graph Learning (πŸ₯ˆ26 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 +
pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.5K Β· πŸ’€) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT -- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 55 Β· πŸ“‹ 210 - 26% open Β· ⏱️ 26.09.2023): +- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 350 Β· πŸ“‹ 190 - 15% open Β· ⏱️ 01.07.2023): ``` - git clone https://github.com/PaddlePaddle/PGL + git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal ``` -- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 1.3K / month Β· πŸ“¦ 1 Β· ⏱️ 26.09.2023): +- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 1.8K / month Β· πŸ“¦ 3 Β· ⏱️ 04.09.2022): ``` - pip install pgl + pip install torch-geometric-temporal ```
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pytorch_geometric_temporal (πŸ₯ˆ25 Β· ⭐ 2.5K Β· πŸ’€) - PyTorch Geometric Temporal: Spatiotemporal Signal.. MIT +
Paddle Graph Learning (πŸ₯ˆ25 Β· ⭐ 1.6K Β· πŸ’€) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 -- [GitHub](https://github.com/benedekrozemberczki/pytorch_geometric_temporal) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 350 Β· πŸ“‹ 190 - 15% open Β· ⏱️ 01.07.2023): +- [GitHub](https://github.com/PaddlePaddle/PGL) (πŸ‘¨β€πŸ’» 31 Β· πŸ”€ 310 Β· πŸ“¦ 56 Β· πŸ“‹ 210 - 26% open Β· ⏱️ 26.09.2023): ``` - git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal + git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/torch-geometric-temporal) (πŸ“₯ 2.1K / month Β· πŸ“¦ 3 Β· ⏱️ 04.09.2022): +- [PyPi](https://pypi.org/project/pgl) (πŸ“₯ 690 / month Β· πŸ“¦ 1 Β· ⏱️ 26.09.2023): ``` - pip install torch-geometric-temporal + pip install pgl ```
PyTorch-BigGraph (πŸ₯ˆ24 Β· ⭐ 3.4K) - Generate embeddings from large-scale graph-structured.. BSD-3 @@ -2925,19 +2925,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 610K / month Β· πŸ“¦ 2 Β· ⏱️ 14.10.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (πŸ“₯ 600K / month Β· πŸ“¦ 2 Β· ⏱️ 14.10.2019): ``` pip install torchbiggraph ```
Node2Vec (πŸ₯ˆ24 Β· ⭐ 1.2K) - Implementation of the node2vec algorithm. MIT -- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 230 Β· πŸ“¦ 610 Β· πŸ“‹ 92 - 5% open Β· ⏱️ 05.05.2024): +- [GitHub](https://github.com/eliorc/node2vec) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 230 Β· πŸ“¦ 620 Β· πŸ“‹ 92 - 5% open Β· ⏱️ 05.05.2024): ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 27K / month Β· πŸ“¦ 27 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (πŸ“₯ 28K / month Β· πŸ“¦ 27 Β· ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -2946,25 +2946,25 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge node2vec ```
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torch-cluster (πŸ₯‰23 Β· ⭐ 760) - PyTorch Extension Library of Optimized Graph Cluster.. MIT +
torch-cluster (πŸ₯‰23 Β· ⭐ 770) - PyTorch Extension Library of Optimized Graph Cluster.. MIT - [GitHub](https://github.com/rusty1s/pytorch_cluster) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 140 Β· πŸ“‹ 160 - 17% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/rusty1s/pytorch_cluster ``` -- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 14K / month Β· πŸ“¦ 51 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/torch-cluster) (πŸ“₯ 13K / month Β· πŸ“¦ 51 Β· ⏱️ 12.10.2023): ``` pip install torch-cluster ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 100K Β· ⏱️ 29.12.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_cluster) (πŸ“₯ 110K Β· ⏱️ 17.05.2024): ``` conda install -c conda-forge pytorch_cluster ```
deepsnap (πŸ₯‰20 Β· ⭐ 530) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 57 Β· πŸ“₯ 10 Β· πŸ“¦ 98 Β· πŸ“‹ 50 - 50% open Β· ⏱️ 11.11.2023): +- [GitHub](https://github.com/snap-stanford/deepsnap) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 57 Β· πŸ“₯ 10 Β· πŸ“¦ 99 Β· πŸ“‹ 50 - 50% open Β· ⏱️ 11.11.2023): ``` git clone https://github.com/snap-stanford/deepsnap @@ -2981,7 +2981,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/gsi-upm/sematch ``` -- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 440 / month Β· ⏱️ 17.04.2017): +- [PyPi](https://pypi.org/project/sematch) (πŸ“₯ 330 / month Β· ⏱️ 17.04.2017): ``` pip install sematch ``` @@ -2993,7 +2993,7 @@ _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“₯ 140 / month Β· ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (πŸ“₯ 110 / month Β· ⏱️ 19.08.2020): ``` pip install grakn-kglib ``` @@ -3023,21 +3023,21 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - igraph (πŸ₯‡33 Β· ⭐ 1.2K) - Python interface for igraph. ❗️GPL-2.0 - StellarGraph (πŸ₯ˆ29 Β· ⭐ 2.9K Β· πŸ’€) - StellarGraph - Machine Learning on Graphs. Apache-2 - pygal (πŸ₯ˆ26 Β· ⭐ 2.6K) - PYthon svg GrAph plotting Library. ❗️LGPL-3.0 -- Karate Club (πŸ₯ˆ25 Β· ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 +- Karate Club (πŸ₯ˆ24 Β· ⭐ 2.1K) - Karate Club: An API Oriented Open-source Python Framework for.. ❗️GPL-3.0 - jraph (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - A Graph Neural Network Library in Jax. Apache-2 -- graph-nets (πŸ₯‰22 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 +- graph-nets (πŸ₯‰21 Β· ⭐ 5.3K Β· πŸ’€) - Build Graph Nets in Tensorflow. Apache-2 - DIG (πŸ₯‰21 Β· ⭐ 1.8K) - A library for graph deep learning research. ❗️GPL-3.0 - graph4nlp (πŸ₯‰21 Β· ⭐ 1.7K Β· πŸ’€) - Graph4nlp is the library for the easy use of Graph.. Apache-2 +- pyRDF2Vec (πŸ₯‰21 Β· ⭐ 240 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT - DeepWalk (πŸ₯‰20 Β· ⭐ 2.6K Β· πŸ’€) - DeepWalk - Deep Learning for Graphs. ❗️GPL-3.0 - DeepGraph (πŸ₯‰20 Β· ⭐ 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 -- pyRDF2Vec (πŸ₯‰20 Β· ⭐ 240 Β· πŸ’€) - Python Implementation and Extension of RDF2Vec. MIT - GraphGym (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT - GraphEmbedding (πŸ₯‰17 Β· ⭐ 3.6K Β· πŸ’€) - Implementation and experiments of graph embedding.. MIT - Euler (πŸ₯‰15 Β· ⭐ 2.9K Β· πŸ’€) - A distributed graph deep learning framework. Apache-2 -- ptgnn (πŸ₯‰15 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT - GraphSAGE (πŸ₯‰14 Β· ⭐ 3.3K Β· πŸ’€) - Representation learning on large graphs using stochastic.. MIT - GraphVite (πŸ₯‰14 Β· ⭐ 1.2K Β· πŸ’€) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 -- OpenKE (πŸ₯‰13 Β· ⭐ 3.7K Β· πŸ“‰) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed +- ptgnn (πŸ₯‰14 Β· ⭐ 370 Β· πŸ’€) - A PyTorch Graph Neural Network Library. MIT +- OpenKE (πŸ₯‰13 Β· ⭐ 3.7K) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed

@@ -3047,38 +3047,38 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas _Libraries for audio analysis, manipulation, transformation, and extraction, as well as speech recognition and music generation tasks._ -
speechbrain (πŸ₯‡38 Β· ⭐ 8K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (πŸ₯‡38 Β· ⭐ 8K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/speechbrain/speechbrain) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 1.3K Β· πŸ“¦ 1.9K Β· πŸ“‹ 1.1K - 11% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 3.1M / month Β· πŸ“¦ 31 Β· ⏱️ 26.02.2024): +- [PyPi](https://pypi.org/project/speechbrain) (πŸ“₯ 2.5M / month Β· πŸ“¦ 31 Β· ⏱️ 26.02.2024): ``` pip install speechbrain ```
-
espnet (πŸ₯‡38 Β· ⭐ 7.9K) - End-to-End Speech Processing Toolkit. Apache-2 +
espnet (πŸ₯‡38 Β· ⭐ 8K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.1K Β· πŸ“₯ 79 Β· πŸ“¦ 320 Β· πŸ“‹ 2.4K - 13% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/espnet/espnet) (πŸ‘¨β€πŸ’» 420 Β· πŸ”€ 2.1K Β· πŸ“₯ 79 Β· πŸ“¦ 330 Β· πŸ“‹ 2.4K - 13% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 74K / month Β· πŸ“¦ 12 Β· ⏱️ 06.02.2024): +- [PyPi](https://pypi.org/project/espnet) (πŸ“₯ 65K / month Β· πŸ“¦ 12 Β· ⏱️ 06.02.2024): ``` pip install espnet ```
-
Coqui TTS (πŸ₯‡36 Β· ⭐ 30K Β· πŸ“ˆ) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
Coqui TTS (πŸ₯‡36 Β· ⭐ 30K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.5K Β· πŸ“₯ 2.2M Β· πŸ“¦ 1.2K Β· πŸ“‹ 1K - 7% open Β· ⏱️ 10.02.2024): +- [GitHub](https://github.com/coqui-ai/TTS) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.5K Β· πŸ“₯ 2.2M Β· πŸ“¦ 1.3K Β· πŸ“‹ 1K - 7% open Β· ⏱️ 10.02.2024): ``` git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 130K / month Β· πŸ“¦ 46 Β· ⏱️ 12.12.2023): +- [PyPi](https://pypi.org/project/tts) (πŸ“₯ 120K / month Β· πŸ“¦ 46 Β· ⏱️ 12.12.2023): ``` pip install tts ``` @@ -3094,7 +3094,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/Uberi/speech_recognition ``` -- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 770K / month Β· πŸ“¦ 480 Β· ⏱️ 05.05.2024): +- [PyPi](https://pypi.org/project/SpeechRecognition) (πŸ“₯ 810K / month Β· πŸ“¦ 490 Β· ⏱️ 05.05.2024): ``` pip install SpeechRecognition ``` @@ -3110,7 +3110,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/pytorch/audio ``` -- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 5.7M / month Β· πŸ“¦ 1.1K Β· ⏱️ 24.04.2024): +- [PyPi](https://pypi.org/project/torchaudio) (πŸ“₯ 5.3M / month Β· πŸ“¦ 1.1K Β· ⏱️ 24.04.2024): ``` pip install torchaudio ``` @@ -3133,19 +3133,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Magenta (πŸ₯ˆ33 Β· ⭐ 19K Β· πŸ’€) - Magenta: Music and Art Generation with Machine Intelligence. Apache-2 -- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 500 Β· πŸ“‹ 1K - 40% open Β· ⏱️ 11.07.2023): +- [GitHub](https://github.com/magenta/magenta) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 3.7K Β· πŸ“¦ 510 Β· πŸ“‹ 1K - 41% open Β· ⏱️ 11.07.2023): ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 4K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (πŸ“₯ 4.2K / month Β· πŸ“¦ 5 Β· ⏱️ 01.08.2022): ``` pip install magenta ```
spleeter (πŸ₯ˆ31 Β· ⭐ 25K Β· πŸ’€) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.7K Β· πŸ“₯ 3.1M Β· πŸ“¦ 710 Β· πŸ“‹ 790 - 29% open Β· ⏱️ 13.07.2023): +- [GitHub](https://github.com/deezer/spleeter) (πŸ‘¨β€πŸ’» 19 Β· πŸ”€ 2.7K Β· πŸ“₯ 3.1M Β· πŸ“¦ 720 Β· πŸ“‹ 790 - 29% open Β· ⏱️ 13.07.2023): ``` git clone https://github.com/deezer/spleeter @@ -3159,21 +3159,9 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge spleeter ```
-
Porcupine (πŸ₯ˆ30 Β· ⭐ 3.5K) - On-device wake word detection powered by deep learning. Apache-2 - -- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 470 Β· πŸ“¦ 28 Β· πŸ“‹ 540 - 1% open Β· ⏱️ 18.04.2024): - - ``` - git clone https://github.com/Picovoice/Porcupine - ``` -- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 8.2K / month Β· πŸ“¦ 15 Β· ⏱️ 30.01.2024): - ``` - pip install pvporcupine - ``` -
audiomentations (πŸ₯ˆ30 Β· ⭐ 1.7K) - A Python library for audio data augmentation. Inspired by.. MIT -- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 180 Β· πŸ“¦ 480 Β· πŸ“‹ 180 - 26% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/iver56/audiomentations) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 180 Β· πŸ“¦ 490 Β· πŸ“‹ 180 - 26% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/iver56/audiomentations @@ -3206,11 +3194,23 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 18K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (πŸ“₯ 22K / month Β· πŸ“¦ 12 Β· ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
+
Porcupine (πŸ₯‰29 Β· ⭐ 3.5K) - On-device wake word detection powered by deep learning. Apache-2 + +- [GitHub](https://github.com/Picovoice/porcupine) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 470 Β· πŸ“¦ 28 Β· πŸ“‹ 540 - 1% open Β· ⏱️ 18.04.2024): + + ``` + git clone https://github.com/Picovoice/Porcupine + ``` +- [PyPi](https://pypi.org/project/pvporcupine) (πŸ“₯ 8K / month Β· πŸ“¦ 15 Β· ⏱️ 30.01.2024): + ``` + pip install pvporcupine + ``` +
Madmom (πŸ₯‰26 Β· ⭐ 1.2K Β· πŸ’€) - Python audio and music signal processing library. BSD-3 - [GitHub](https://github.com/CPJKU/madmom) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 200 Β· πŸ“¦ 420 Β· πŸ“‹ 280 - 23% open Β· ⏱️ 10.09.2023): @@ -3218,19 +3218,19 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/CPJKU/madmom ``` -- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 1.9K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): +- [PyPi](https://pypi.org/project/madmom) (πŸ“₯ 1.7K / month Β· πŸ“¦ 27 Β· ⏱️ 14.11.2018): ``` pip install madmom ```
tinytag (πŸ₯‰26 Β· ⭐ 670) - Python library for reading audio file metadata, duration of MP3, OGG,.. MIT -- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 12.05.2024): +- [GitHub](https://github.com/devsnd/tinytag) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 100 Β· πŸ“‹ 120 - 12% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 29K / month Β· πŸ“¦ 100 Β· ⏱️ 26.10.2023): +- [PyPi](https://pypi.org/project/tinytag) (πŸ“₯ 30K / month Β· πŸ“¦ 100 Β· ⏱️ 26.10.2023): ``` pip install tinytag ``` @@ -3242,7 +3242,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 2.2K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): +- [PyPi](https://pypi.org/project/ddsp) (πŸ“₯ 1.7K / month Β· πŸ“¦ 1 Β· ⏱️ 25.05.2022): ``` pip install ddsp ``` @@ -3253,12 +3253,12 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
python-soundfile (πŸ₯‰25 Β· ⭐ 670) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 100 Β· πŸ“₯ 18K Β· πŸ“‹ 250 - 46% open Β· ⏱️ 05.01.2024): +- [GitHub](https://github.com/bastibe/python-soundfile) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 100 Β· πŸ“₯ 19K Β· πŸ“‹ 250 - 46% open Β· ⏱️ 05.01.2024): ``` git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.1M / month Β· πŸ“¦ 620 Β· ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/soundfile) (πŸ“₯ 3.2M / month Β· πŸ“¦ 620 Β· ⏱️ 15.02.2023): ``` pip install soundfile ``` @@ -3267,14 +3267,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c anaconda pysoundfile ```
-
nnAudio (πŸ₯‰22 Β· ⭐ 960) - Audio processing by using pytorch 1D convolution network. MIT +
nnAudio (πŸ₯‰22 Β· ⭐ 970) - Audio processing by using pytorch 1D convolution network. MIT - [GitHub](https://github.com/KinWaiCheuk/nnAudio) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 90 Β· πŸ“¦ 180 Β· πŸ“‹ 62 - 29% open Β· ⏱️ 13.02.2024): ``` git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 11K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): +- [PyPi](https://pypi.org/project/nnAudio) (πŸ“₯ 9.9K / month Β· πŸ“¦ 4 Β· ⏱️ 13.02.2024): ``` pip install nnAudio ``` @@ -3297,8 +3297,8 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as - python_speech_features (πŸ₯‰24 Β· ⭐ 2.3K Β· πŸ’€) - This library provides common speech features for ASR.. MIT - Dejavu (πŸ₯‰23 Β· ⭐ 6.3K Β· πŸ’€) - Audio fingerprinting and recognition in Python. MIT - kapre (πŸ₯‰23 Β· ⭐ 910 Β· πŸ’€) - kapre: Keras Audio Preprocessors. MIT -- Julius (πŸ₯‰21 Β· ⭐ 400 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT -- TimeSide (πŸ₯‰19 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 +- Julius (πŸ₯‰21 Β· ⭐ 410 Β· πŸ’€) - Fast PyTorch based DSP for audio and 1D signals. MIT +- TimeSide (πŸ₯‰21 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 - Muda (πŸ₯‰17 Β· ⭐ 230 Β· πŸ’€) - A library for augmenting annotated audio data. ISC

@@ -3311,12 +3311,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (πŸ₯‡44 Β· ⭐ 12K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 7.6K Β· πŸ“‹ 3K - 9% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/visgl/deck.gl) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 7.6K Β· πŸ“‹ 3K - 9% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 3.5M / month Β· πŸ“¦ 87 Β· ⏱️ 10.05.2024): +- [PyPi](https://pypi.org/project/pydeck) (πŸ“₯ 3.7M / month Β· πŸ“¦ 87 Β· ⏱️ 10.05.2024): ``` pip install pydeck ``` @@ -3324,14 +3324,14 @@ _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“₯ 450K / month Β· πŸ“¦ 290 Β· ⏱️ 06.05.2024): +- [npm](https://www.npmjs.com/package/deck.gl) (πŸ“₯ 460K / month Β· πŸ“¦ 290 Β· ⏱️ 06.05.2024): ``` npm install deck.gl ```
folium (πŸ₯‡40 Β· ⭐ 6.7K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 37K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/python-visualization/folium) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 2.2K Β· πŸ“¦ 38K Β· πŸ“‹ 1.1K - 7% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/python-visualization/folium @@ -3347,12 +3347,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoPandas (πŸ₯‡40 Β· ⭐ 4.2K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 900 Β· πŸ“₯ 2.5K Β· πŸ“¦ 35K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/geopandas/geopandas) (πŸ‘¨β€πŸ’» 220 Β· πŸ”€ 900 Β· πŸ“₯ 2.5K Β· πŸ“¦ 35K Β· πŸ“‹ 1.7K - 26% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.3M / month Β· πŸ“¦ 2.4K Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/geopandas) (πŸ“₯ 6.2M / month Β· πŸ“¦ 2.4K Β· ⏱️ 28.04.2024): ``` pip install geopandas ``` @@ -3372,30 +3372,30 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 9.3M Β· ⏱️ 17.04.2024): +- [Conda](https://anaconda.org/conda-forge/shapely) (πŸ“₯ 9.4M Β· ⏱️ 16.05.2024): ``` conda install -c conda-forge shapely ```
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Fiona (πŸ₯ˆ38 Β· ⭐ 1.1K Β· πŸ“ˆ) - Fiona reads and writes geographic data files. BSD-3 +
Fiona (πŸ₯ˆ38 Β· ⭐ 1.1K) - Fiona reads and writes geographic data files. BSD-3 -- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 200 Β· πŸ“¦ 20K Β· πŸ“‹ 790 - 4% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/Toblerity/Fiona) (πŸ‘¨β€πŸ’» 74 Β· πŸ”€ 200 Β· πŸ“¦ 20K Β· πŸ“‹ 790 - 4% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/Toblerity/Fiona ``` -- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.3M / month Β· πŸ“¦ 190 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/fiona) (πŸ“₯ 6.2M / month Β· πŸ“¦ 190 Β· ⏱️ 16.04.2024): ``` pip install fiona ``` -- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.5M Β· ⏱️ 08.03.2024): +- [Conda](https://anaconda.org/conda-forge/fiona) (πŸ“₯ 5.5M Β· ⏱️ 21.05.2024): ``` conda install -c conda-forge fiona ```
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Rasterio (πŸ₯ˆ37 Β· ⭐ 2.1K) - Rasterio reads and writes geospatial raster datasets. BSD-3 +
Rasterio (πŸ₯ˆ37 Β· ⭐ 2.2K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 860 Β· πŸ“¦ 11K Β· πŸ“‹ 1.8K - 8% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/rasterio/rasterio) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 520 Β· πŸ“₯ 860 Β· πŸ“¦ 12K Β· πŸ“‹ 1.8K - 8% open Β· ⏱️ 10.05.2024): ``` git clone https://github.com/rasterio/rasterio @@ -3404,35 +3404,19 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install rasterio ``` -- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 3M Β· ⏱️ 13.04.2024): +- [Conda](https://anaconda.org/conda-forge/rasterio) (πŸ“₯ 3M Β· ⏱️ 21.05.2024): ``` conda install -c conda-forge rasterio ```
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pyproj (πŸ₯ˆ35 Β· ⭐ 990) - Python interface to PROJ (cartographic projections and coordinate.. MIT - -- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 30K Β· πŸ“‹ 600 - 5% open Β· ⏱️ 20.04.2024): - - ``` - git clone https://github.com/pyproj4/pyproj - ``` -- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.8M / month Β· πŸ“¦ 1.5K Β· ⏱️ 21.09.2023): - ``` - pip install pyproj - ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 7.6M Β· ⏱️ 01.05.2024): - ``` - conda install -c conda-forge pyproj - ``` -
ArcGIS API (πŸ₯ˆ34 Β· ⭐ 1.8K) - Documentation and samples for ArcGIS API for Python. Apache-2 -- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.1K Β· πŸ“₯ 11K Β· πŸ“¦ 750 Β· πŸ“‹ 730 - 9% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/Esri/arcgis-python-api) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.1K Β· πŸ“₯ 11K Β· πŸ“¦ 760 Β· πŸ“‹ 730 - 9% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/Esri/arcgis-python-api ``` -- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 69K / month Β· πŸ“¦ 36 Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/arcgis) (πŸ“₯ 67K / month Β· πŸ“¦ 36 Β· ⏱️ 17.05.2024): ``` pip install arcgis ``` @@ -3443,7 +3427,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (πŸ₯ˆ34 Β· ⭐ 1.5K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 8.9K Β· πŸ“‹ 630 - 43% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 360 Β· πŸ“¦ 9K Β· πŸ“‹ 630 - 43% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/jupyter-widgets/ipyleaflet @@ -3456,19 +3440,35 @@ _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“₯ 9.8K / month Β· πŸ“¦ 9 Β· ⏱️ 13.05.2024): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (πŸ“₯ 10K / month Β· πŸ“¦ 9 Β· ⏱️ 13.05.2024): ``` npm install jupyter-leaflet ```
+
pyproj (πŸ₯ˆ34 Β· ⭐ 1K) - Python interface to PROJ (cartographic projections and coordinate.. MIT + +- [GitHub](https://github.com/pyproj4/pyproj) (πŸ‘¨β€πŸ’» 65 Β· πŸ”€ 210 Β· πŸ“¦ 30K Β· πŸ“‹ 600 - 5% open Β· ⏱️ 20.04.2024): + + ``` + git clone https://github.com/pyproj4/pyproj + ``` +- [PyPi](https://pypi.org/project/pyproj) (πŸ“₯ 8.7M / month Β· πŸ“¦ 1.5K Β· ⏱️ 21.09.2023): + ``` + pip install pyproj + ``` +- [Conda](https://anaconda.org/conda-forge/pyproj) (πŸ“₯ 7.6M Β· ⏱️ 01.05.2024): + ``` + conda install -c conda-forge pyproj + ``` +
geopy (πŸ₯‰32 Β· ⭐ 4.3K) - Geocoding library for Python. MIT -- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 42 Β· πŸ“‹ 290 - 13% open Β· ⏱️ 23.11.2023): +- [GitHub](https://github.com/geopy/geopy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 630 Β· πŸ“₯ 47 Β· πŸ“‹ 290 - 13% open Β· ⏱️ 23.11.2023): ``` git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 5.2M / month Β· πŸ“¦ 780 Β· ⏱️ 23.11.2023): +- [PyPi](https://pypi.org/project/geopy) (πŸ“₯ 5.2M / month Β· πŸ“¦ 790 Β· ⏱️ 23.11.2023): ``` pip install geopy ``` @@ -3484,7 +3484,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/pysal/pysal ``` -- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 24K / month Β· πŸ“¦ 39 Β· ⏱️ 31.01.2024): +- [PyPi](https://pypi.org/project/pysal) (πŸ“₯ 26K / month Β· πŸ“¦ 39 Β· ⏱️ 31.01.2024): ``` pip install pysal ``` @@ -3493,14 +3493,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge pysal ```
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geojson (πŸ₯‰29 Β· ⭐ 880) - Python bindings and utilities for GeoJSON. BSD-3 +
geojson (πŸ₯‰29 Β· ⭐ 890) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (πŸ‘¨β€πŸ’» 56 Β· πŸ”€ 120 Β· πŸ“¦ 17K Β· πŸ“‹ 100 - 26% open Β· ⏱️ 25.03.2024): ``` git clone https://github.com/jazzband/geojson ``` -- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.7M / month Β· πŸ“¦ 620 Β· ⏱️ 05.11.2023): +- [PyPi](https://pypi.org/project/geojson) (πŸ“₯ 1.7M / month Β· πŸ“¦ 640 Β· ⏱️ 05.11.2023): ``` pip install geojson ``` @@ -3511,7 +3511,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (πŸ₯‰29 Β· ⭐ 570) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 75 Β· πŸ“¦ 980 Β· πŸ“‹ 340 - 31% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/holoviz/geoviews) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 75 Β· πŸ“¦ 990 Β· πŸ“‹ 340 - 31% open Β· ⏱️ 01.05.2024): ``` git clone https://github.com/holoviz/geoviews @@ -3532,7 +3532,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/earthlab/earthpy ``` -- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 7.9K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/earthpy) (πŸ“₯ 7.7K / month Β· πŸ“¦ 17 Β· ⏱️ 01.10.2021): ``` pip install earthpy ``` @@ -3548,11 +3548,11 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geospace-code/pymap3d ``` -- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 140K / month Β· πŸ“¦ 42 Β· ⏱️ 11.02.2024): +- [PyPi](https://pypi.org/project/pymap3d) (πŸ“₯ 130K / month Β· πŸ“¦ 43 Β· ⏱️ 11.02.2024): ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 70K Β· ⏱️ 11.02.2024): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (πŸ“₯ 71K Β· ⏱️ 11.02.2024): ``` conda install -c conda-forge pymap3d ``` @@ -3565,7 +3565,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra - Mapbox GL (πŸ₯‰24 Β· ⭐ 650 Β· πŸ’€) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT - prettymaps (πŸ₯‰23 Β· ⭐ 11K Β· πŸ’€) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - gmaps (πŸ₯‰23 Β· ⭐ 760 Β· πŸ’€) - Google maps for Jupyter notebooks. BSD-3 -- geoplotlib (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT +- geoplotlib (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - python toolbox for visualizing geographical data and making maps. MIT

@@ -3577,28 +3577,28 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (πŸ₯‡40 Β· ⭐ 12K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 38K Β· πŸ“‹ 1.3K - 10% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/ranaroussi/yfinance) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 39K Β· πŸ“‹ 1.3K - 11% open Β· ⏱️ 19.05.2024): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.5M / month Β· πŸ“¦ 540 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/yfinance) (πŸ“₯ 1.5M / month Β· πŸ“¦ 560 Β· ⏱️ 19.05.2024): ``` pip install yfinance ``` -- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 90K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/ranaroussi/yfinance) (πŸ“₯ 91K Β· ⏱️ 16.06.2023): ``` conda install -c ranaroussi yfinance ```
-
Qlib (πŸ₯ˆ30 Β· ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT +
Qlib (πŸ₯‡31 Β· ⭐ 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 2.5K Β· πŸ“₯ 580 Β· πŸ“¦ 21 Β· πŸ“‹ 900 - 24% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/microsoft/qlib) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 2.5K Β· πŸ“₯ 580 Β· πŸ“¦ 21 Β· πŸ“‹ 900 - 24% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 3.2K / month Β· πŸ“¦ 1 Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/pyqlib) (πŸ“₯ 2.6K / month Β· πŸ“¦ 1 Β· ⏱️ 07.05.2024): ``` pip install pyqlib ``` @@ -3630,14 +3630,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 7.3K Β· ⏱️ 31.12.2023): +- [Conda](https://anaconda.org/conda-forge/ffn) (πŸ“₯ 7.4K Β· ⏱️ 31.12.2023): ``` conda install -c conda-forge ffn ```
Alpha Vantage (πŸ₯ˆ28 Β· ⭐ 4.2K) - A python wrapper for Alpha Vantage API for financial data. MIT -- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 720 Β· πŸ“¦ 550 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 19.03.2024): +- [GitHub](https://github.com/RomelTorres/alpha_vantage) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 720 Β· πŸ“¦ 560 Β· πŸ“‹ 290 - 2% open Β· ⏱️ 19.03.2024): ``` git clone https://github.com/RomelTorres/alpha_vantage @@ -3658,11 +3658,11 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.5K / month Β· πŸ“¦ 10 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/bt) (πŸ“₯ 7.3K / month Β· πŸ“¦ 10 Β· ⏱️ 20.11.2023): ``` pip install bt ``` -- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 23K Β· ⏱️ 20.11.2023): +- [Conda](https://anaconda.org/conda-forge/bt) (πŸ“₯ 24K Β· ⏱️ 20.11.2023): ``` conda install -c conda-forge bt ``` @@ -3678,7 +3678,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install ib_insync ``` -- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 40K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ib-insync) (πŸ“₯ 41K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ib-insync ``` @@ -3695,14 +3695,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te pip install stockstats ```
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finmarketpy (πŸ₯‰22 Β· ⭐ 3.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2 +
finmarketpy (πŸ₯‰23 Β· ⭐ 3.4K) - Python library for backtesting trading strategies & analyzing.. Apache-2 -- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 500 Β· πŸ“₯ 51 Β· πŸ“¦ 13 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 01.04.2024): +- [GitHub](https://github.com/cuemacro/finmarketpy) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 490 Β· πŸ“₯ 51 Β· πŸ“¦ 13 Β· πŸ“‹ 28 - 85% open Β· ⏱️ 19.05.2024): ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 270 / month Β· ⏱️ 01.01.2024): +- [PyPi](https://pypi.org/project/finmarketpy) (πŸ“₯ 300 / month Β· ⏱️ 19.05.2024): ``` pip install finmarketpy ``` @@ -3714,7 +3714,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/fmilthaler/FinQuant ``` -- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 480 / month Β· πŸ“¦ 1 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/FinQuant) (πŸ“₯ 540 / month Β· πŸ“¦ 1 Β· ⏱️ 04.09.2023): ``` pip install FinQuant ``` @@ -3726,7 +3726,7 @@ _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“₯ 770 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (πŸ“₯ 580 / month Β· πŸ“¦ 2 Β· ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -3734,13 +3734,13 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Show 14 hidden projects... - zipline (πŸ₯‡32 Β· ⭐ 17K Β· πŸ’€) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 -- pyfolio (πŸ₯‡31 Β· ⭐ 5.4K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 +- pyfolio (πŸ₯‡31 Β· ⭐ 5.5K Β· πŸ’€) - Portfolio and risk analytics in Python. Apache-2 - arch (πŸ₯‡31 Β· ⭐ 1.3K) - ARCH models in Python. ❗Unlicensed - backtrader (πŸ₯ˆ29 Β· ⭐ 13K Β· πŸ’€) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - empyrical (πŸ₯ˆ27 Β· ⭐ 1.2K Β· πŸ’€) - Common financial risk and performance metrics. Used by.. Apache-2 - Alphalens (πŸ₯‰26 Β· ⭐ 3.1K Β· πŸ’€) - Performance analysis of predictive (alpha) stock factors. Apache-2 -- Enigma Catalyst (πŸ₯‰26 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - TensorTrade (πŸ₯‰25 Β· ⭐ 4.4K Β· πŸ’€) - An open source reinforcement learning framework for.. Apache-2 +- Enigma Catalyst (πŸ₯‰25 Β· ⭐ 2.5K Β· πŸ’€) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - FinTA (πŸ₯‰24 Β· ⭐ 2.1K Β· πŸ’€) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 - Backtesting.py (πŸ₯‰23 Β· ⭐ 4.9K Β· πŸ’€) - Backtest trading strategies in Python. ❗️AGPL-3.0 - PyAlgoTrade (πŸ₯‰23 Β· ⭐ 4.3K Β· πŸ’€) - Python Algorithmic Trading Library. Apache-2 @@ -3758,23 +3758,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (πŸ₯‡39 Β· ⭐ 7.5K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.3K Β· πŸ“₯ 91 Β· πŸ“¦ 2.6K Β· πŸ“‹ 2.3K - 36% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/sktime/sktime) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 1.3K Β· πŸ“₯ 91 Β· πŸ“¦ 2.7K Β· πŸ“‹ 2.3K - 35% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/alan-turing-institute/sktime ``` -- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 920K / month Β· πŸ“¦ 110 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/sktime) (πŸ“₯ 890K / month Β· πŸ“¦ 110 Β· ⏱️ 01.05.2024): ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 950K Β· ⏱️ 04.05.2024): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (πŸ“₯ 960K Β· ⏱️ 04.05.2024): ``` conda install -c conda-forge sktime-all-extras ```
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Prophet (πŸ₯‡34 Β· ⭐ 18K Β· πŸ’€) - Tool for producing high quality forecasts for time series data that.. MIT +
Prophet (πŸ₯‡34 Β· ⭐ 18K) - 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”€ 4.5K Β· πŸ“₯ 2.5K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 18.10.2023): +- [GitHub](https://github.com/facebook/prophet) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.5K Β· πŸ“₯ 2.5K Β· πŸ“¦ 21 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 18.05.2024): ``` git clone https://github.com/facebook/prophet @@ -3790,7 +3790,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
StatsForecast (πŸ₯‡34 Β· ⭐ 3.6K) - Lightning fast forecasting with statistical and econometric.. Apache-2 -- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 250 Β· πŸ“¦ 870 Β· πŸ“‹ 310 - 30% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/Nixtla/statsforecast) (πŸ‘¨β€πŸ’» 39 Β· πŸ”€ 250 Β· πŸ“¦ 890 Β· πŸ“‹ 310 - 30% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/Nixtla/statsforecast @@ -3799,23 +3799,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 67K Β· ⏱️ 08.04.2024): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (πŸ“₯ 69K Β· ⏱️ 08.04.2024): ``` conda install -c conda-forge statsforecast ```
Darts (πŸ₯ˆ33 Β· ⭐ 7.4K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 800 Β· πŸ“¦ 610 Β· πŸ“‹ 1.4K - 18% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/unit8co/darts) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 800 Β· πŸ“¦ 620 Β· πŸ“‹ 1.4K - 18% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/unit8co/darts ``` -- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 22K / month Β· πŸ“¦ 6 Β· ⏱️ 17.04.2024): +- [PyPi](https://pypi.org/project/u8darts) (πŸ“₯ 21K / month Β· πŸ“¦ 6 Β· ⏱️ 17.04.2024): ``` pip install u8darts ``` -- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 43K Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/u8darts-all) (πŸ“₯ 44K Β· ⏱️ 18.04.2024): ``` conda install -c conda-forge u8darts-all ``` @@ -3824,16 +3824,20 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l docker pull unit8/darts ```
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NeuralProphet (πŸ₯ˆ32 Β· ⭐ 3.7K) - NeuralProphet: A simple forecasting package. MIT +
pmdarima (πŸ₯ˆ32 Β· ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 460 Β· πŸ“¦ 440 Β· πŸ“‹ 520 - 8% open Β· ⏱️ 15.03.2024): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 8.2K Β· πŸ“‹ 330 - 17% open Β· ⏱️ 23.02.2024): ``` - git clone https://github.com/ourownstory/neural_prophet + git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 140K / month Β· πŸ“¦ 5 Β· ⏱️ 23.02.2024): +- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.5M / month Β· πŸ“¦ 140 Β· ⏱️ 23.10.2023): ``` - pip install neuralprophet + pip install pmdarima + ``` +- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1.1M Β· ⏱️ 19.04.2024): + ``` + conda install -c conda-forge pmdarima ```
tsfresh (πŸ₯ˆ31 Β· ⭐ 8.1K) - Automatic extraction of relevant features from time series:. MIT @@ -3843,7 +3847,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 250K / month Β· πŸ“¦ 73 Β· ⏱️ 28.01.2024): +- [PyPi](https://pypi.org/project/tsfresh) (πŸ“₯ 240K / month Β· πŸ“¦ 75 Β· ⏱️ 28.01.2024): ``` pip install tsfresh ``` @@ -3854,7 +3858,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
STUMPY (πŸ₯ˆ31 Β· ⭐ 3K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 280 Β· πŸ“¦ 740 Β· πŸ“‹ 480 - 11% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 280 Β· πŸ“¦ 750 Β· πŸ“‹ 480 - 11% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/TDAmeritrade/stumpy @@ -3886,12 +3890,12 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
NeuralForecast (πŸ₯ˆ31 Β· ⭐ 2.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 290 Β· πŸ“¦ 150 Β· πŸ“‹ 470 - 21% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/Nixtla/neuralforecast) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 290 Β· πŸ“¦ 150 Β· πŸ“‹ 470 - 21% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 35K / month Β· πŸ“¦ 16 Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/neuralforecast) (πŸ“₯ 39K / month Β· πŸ“¦ 16 Β· ⏱️ 07.05.2024): ``` pip install neuralforecast ``` @@ -3900,78 +3904,74 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge neuralforecast ```
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pmdarima (πŸ₯ˆ31 Β· ⭐ 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT +
GluonTS (πŸ₯ˆ30 Β· ⭐ 4.4K) - Probabilistic time series modeling in Python. Apache-2 -- [GitHub](https://github.com/alkaline-ml/pmdarima) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 230 Β· πŸ“¦ 8.1K Β· πŸ“‹ 330 - 17% open Β· ⏱️ 23.02.2024): +- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 940 - 33% open Β· ⏱️ 21.05.2024): ``` - git clone https://github.com/alkaline-ml/pmdarima + git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/pmdarima) (πŸ“₯ 2.7M / month Β· πŸ“¦ 140 Β· ⏱️ 23.10.2023): +- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 270K / month Β· πŸ“¦ 27 Β· ⏱️ 02.02.2024): ``` - pip install pmdarima + pip install gluonts ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (πŸ“₯ 1.1M Β· ⏱️ 19.04.2024): +- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 760 Β· ⏱️ 22.12.2023): ``` - conda install -c conda-forge pmdarima + conda install -c anaconda gluonts ```
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GluonTS (πŸ₯ˆ30 Β· ⭐ 4.3K) - Probabilistic time series modeling in Python. Apache-2 - -- [GitHub](https://github.com/awslabs/gluonts) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 730 Β· πŸ“‹ 940 - 33% open Β· ⏱️ 07.05.2024): +
NeuralProphet (πŸ₯ˆ30 Β· ⭐ 3.7K Β· πŸ“‰) - NeuralProphet: A simple forecasting package. MIT + +- [GitHub](https://github.com/ourownstory/neural_prophet) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 460 Β· πŸ“¦ 440 Β· πŸ“‹ 520 - 8% open Β· ⏱️ 15.03.2024): ``` - git clone https://github.com/awslabs/gluon-ts - ``` -- [PyPi](https://pypi.org/project/gluonts) (πŸ“₯ 280K / month Β· πŸ“¦ 27 Β· ⏱️ 02.02.2024): - ``` - pip install gluonts + git clone https://github.com/ourownstory/neural_prophet ``` -- [Conda](https://anaconda.org/anaconda/gluonts) (πŸ“₯ 760 Β· ⏱️ 22.12.2023): +- [PyPi](https://pypi.org/project/neuralprophet) (πŸ“₯ 160K / month Β· πŸ“¦ 5 Β· ⏱️ 23.02.2024): ``` - conda install -c anaconda gluonts + pip install neuralprophet ```
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pytorch-forecasting (πŸ₯ˆ28 Β· ⭐ 3.6K) - Time series forecasting with PyTorch. MIT +
pytorch-forecasting (πŸ₯ˆ28 Β· ⭐ 3.7K) - Time series forecasting with PyTorch. MIT - [GitHub](https://github.com/jdb78/pytorch-forecasting) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 580 Β· πŸ“‹ 760 - 62% open Β· ⏱️ 15.03.2024): ``` git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 48K / month Β· πŸ“¦ 16 Β· ⏱️ 26.07.2020): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (πŸ“₯ 50K / month Β· πŸ“¦ 16 Β· ⏱️ 26.07.2020): ``` pip install pytorch-forecasting ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 56K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (πŸ“₯ 57K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pytorch-forecasting ```
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skforecast (πŸ₯ˆ28 Β· ⭐ 930) - Time series forecasting with scikit-learn models. BSD-3 +
skforecast (πŸ₯ˆ28 Β· ⭐ 960) - Time series forecasting with scikit-learn models. BSD-3 -- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“¦ 260 Β· πŸ“‹ 140 - 25% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“¦ 260 Β· πŸ“‹ 130 - 17% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/JoaquinAmatRodrigo/skforecast ``` -- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 49K / month Β· πŸ“¦ 11 Β· ⏱️ 05.05.2024): +- [PyPi](https://pypi.org/project/skforecast) (πŸ“₯ 48K / month Β· πŸ“¦ 12 Β· ⏱️ 20.05.2024): ``` pip install skforecast ```
uber/orbit (πŸ₯‰26 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 55 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 56 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 20K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ``` -- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 6.8K Β· ⏱️ 01.04.2024): +- [Conda](https://anaconda.org/conda-forge/orbit-ml) (πŸ“₯ 7.2K Β· ⏱️ 01.04.2024): ``` conda install -c conda-forge orbit-ml ``` @@ -3983,18 +3983,18 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 120K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/pyts) (πŸ“₯ 140K / month Β· πŸ“¦ 19 Β· ⏱️ 31.10.2021): ``` pip install pyts ``` -- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 23K Β· ⏱️ 18.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyts) (πŸ“₯ 24K Β· ⏱️ 18.06.2023): ``` conda install -c conda-forge pyts ```
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TSFEL (πŸ₯‰24 Β· ⭐ 860) - An intuitive library to extract features from time series. BSD-3 +
TSFEL (πŸ₯‰24 Β· ⭐ 870) - An intuitive library to extract features from time series. BSD-3 -- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 130 Β· πŸ“¦ 120 Β· πŸ“‹ 69 - 4% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/fraunhoferportugal/tsfel) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 130 Β· πŸ“¦ 130 Β· πŸ“‹ 69 - 4% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/fraunhoferportugal/tsfel @@ -4028,32 +4028,32 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l pip install luminol ```
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tsflex (πŸ₯‰21 Β· ⭐ 370) - Flexible time series feature extraction & processing. MIT +
Auto TS (πŸ₯‰20 Β· ⭐ 680) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 -- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 25 Β· πŸ“¦ 13 Β· πŸ“‹ 52 - 57% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“‹ 88 - 1% open Β· ⏱️ 05.05.2024): ``` - git clone https://github.com/predict-idlab/tsflex - ``` -- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 660 / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): - ``` - pip install tsflex + git clone https://github.com/AutoViML/Auto_TS ``` -- [Conda](https://anaconda.org/conda-forge/tsflex) (πŸ“₯ 21K Β· ⏱️ 08.04.2024): +- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 9.2K / month Β· ⏱️ 05.05.2024): ``` - conda install -c conda-forge tsflex + pip install auto-ts ```
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Auto TS (πŸ₯‰20 Β· ⭐ 680) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
tsflex (πŸ₯‰20 Β· ⭐ 370) - Flexible time series feature extraction & processing. MIT -- [GitHub](https://github.com/AutoViML/Auto_TS) (πŸ‘¨β€πŸ’» 13 Β· πŸ”€ 110 Β· πŸ“‹ 88 - 1% open Β· ⏱️ 05.05.2024): +- [GitHub](https://github.com/predict-idlab/tsflex) (πŸ‘¨β€πŸ’» 6 Β· πŸ”€ 25 Β· πŸ“¦ 13 Β· πŸ“‹ 52 - 57% open Β· ⏱️ 15.05.2024): ``` - git clone https://github.com/AutoViML/Auto_TS + git clone https://github.com/predict-idlab/tsflex ``` -- [PyPi](https://pypi.org/project/auto-ts) (πŸ“₯ 8.3K / month Β· ⏱️ 05.05.2024): +- [PyPi](https://pypi.org/project/tsflex) (πŸ“₯ 400 / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): ``` - pip install auto-ts + pip install tsflex + ``` +- [Conda](https://anaconda.org/conda-forge/tsflex) (πŸ“₯ 22K Β· ⏱️ 08.04.2024): + ``` + conda install -c conda-forge tsflex ```
pydlm (πŸ₯‰19 Β· ⭐ 470 Β· πŸ’€) - A python library for Bayesian time series modeling. BSD-3 @@ -4063,7 +4063,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/wwrechard/pydlm ``` -- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 22K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): +- [PyPi](https://pypi.org/project/pydlm) (πŸ“₯ 21K / month Β· πŸ“¦ 2 Β· ⏱️ 19.12.2018): ``` pip install pydlm ``` @@ -4090,7 +4090,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (πŸ₯‡39 Β· ⭐ 2.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.8K Β· πŸ“‹ 4.8K - 11% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/mne-tools/mne-python) (πŸ‘¨β€πŸ’» 370 Β· πŸ”€ 1.3K Β· πŸ“¦ 3.9K Β· πŸ“‹ 4.8K - 10% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/mne-tools/mne-python @@ -4099,19 +4099,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` pip install mne ``` -- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 360K Β· ⏱️ 19.04.2024): +- [Conda](https://anaconda.org/conda-forge/mne) (πŸ“₯ 370K Β· ⏱️ 19.04.2024): ``` conda install -c conda-forge mne ```
Nilearn (πŸ₯‡37 Β· ⭐ 1.1K) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 550 Β· πŸ“₯ 160 Β· πŸ“¦ 3.1K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/nilearn/nilearn) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 550 Β· πŸ“₯ 160 Β· πŸ“¦ 3.2K Β· πŸ“‹ 2.1K - 14% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 65K / month Β· πŸ“¦ 270 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/nilearn) (πŸ“₯ 63K / month Β· πŸ“¦ 270 Β· ⏱️ 09.04.2024): ``` pip install nilearn ``` @@ -4120,46 +4120,46 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge nilearn ```
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NiBabel (πŸ₯ˆ36 Β· ⭐ 630) - Python package to access a cacophony of neuro-imaging file formats. MIT +
MONAI (πŸ₯ˆ36 Β· ⭐ 5.4K Β· πŸ“ˆ) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 19K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 980 Β· πŸ“¦ 2.3K Β· πŸ“‹ 3K - 11% open Β· ⏱️ 23.05.2024): ``` - git clone https://github.com/nipy/nibabel + git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 500K / month Β· πŸ“¦ 1K Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 150K / month Β· πŸ“¦ 95 Β· ⏱️ 21.05.2024): ``` - pip install nibabel + pip install monai ``` -- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 700K Β· ⏱️ 27.02.2024): +- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 24K Β· ⏱️ 21.05.2024): ``` - conda install -c conda-forge nibabel + conda install -c conda-forge monai ```
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MONAI (πŸ₯ˆ35 Β· ⭐ 5.4K) - AI Toolkit for Healthcare Imaging. Apache-2 +
NiBabel (πŸ₯ˆ36 Β· ⭐ 630) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/Project-MONAI/MONAI) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 970 Β· πŸ“¦ 2.2K Β· πŸ“‹ 3K - 11% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/nipy/nibabel) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 260 Β· πŸ“¦ 19K Β· πŸ“‹ 530 - 24% open Β· ⏱️ 06.05.2024): ``` - git clone https://github.com/Project-MONAI/MONAI + git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/monai) (πŸ“₯ 150K / month Β· πŸ“¦ 93 Β· ⏱️ 10.05.2024): +- [PyPi](https://pypi.org/project/nibabel) (πŸ“₯ 510K / month Β· πŸ“¦ 1K Β· ⏱️ 27.02.2024): ``` - pip install monai + pip install nibabel ``` -- [Conda](https://anaconda.org/conda-forge/monai) (πŸ“₯ 23K Β· ⏱️ 12.10.2023): +- [Conda](https://anaconda.org/conda-forge/nibabel) (πŸ“₯ 710K Β· ⏱️ 27.02.2024): ``` - conda install -c conda-forge monai + conda install -c conda-forge nibabel ```
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NIPYPE (πŸ₯ˆ35 Β· ⭐ 730) - Workflows and interfaces for neuroimaging packages. Apache-2 +
NIPYPE (πŸ₯ˆ35 Β· ⭐ 740) - Workflows and interfaces for neuroimaging packages. Apache-2 -- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 510 Β· πŸ“¦ 4.3K Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/nipy/nipype) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 510 Β· πŸ“¦ 4.4K Β· πŸ“‹ 1.4K - 29% open Β· ⏱️ 06.05.2024): ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 160K / month Β· πŸ“¦ 130 Β· ⏱️ 06.04.2023): +- [PyPi](https://pypi.org/project/nipype) (πŸ“₯ 160K / month Β· πŸ“¦ 140 Β· ⏱️ 06.04.2023): ``` pip install nipype ``` @@ -4175,7 +4175,7 @@ _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“₯ 520K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/lifelines) (πŸ“₯ 510K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): ``` pip install lifelines ``` @@ -4186,12 +4186,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (πŸ₯ˆ32 Β· ⭐ 940) - Cloud-native genomic dataframes and batch computing. MIT -- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/hail-is/hail) (πŸ‘¨β€πŸ’» 92 Β· πŸ”€ 240 Β· πŸ“¦ 130 Β· πŸ“‹ 2.4K - 9% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 40K / month Β· πŸ“¦ 30 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/hail) (πŸ“₯ 35K / month Β· πŸ“¦ 30 Β· ⏱️ 10.04.2024): ``` pip install hail ``` @@ -4208,14 +4208,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c bioconda deepvariant ```
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Brainiak (πŸ₯‰19 Β· ⭐ 320) - Brain Imaging Analysis Kit. Apache-2 +
Brainiak (πŸ₯‰18 Β· ⭐ 320) - Brain Imaging Analysis Kit. Apache-2 - [GitHub](https://github.com/brainiak/brainiak) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 130 Β· πŸ“‹ 210 - 38% open Β· ⏱️ 27.11.2023): ``` git clone https://github.com/brainiak/brainiak ``` -- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 130 / month Β· ⏱️ 15.10.2020): +- [PyPi](https://pypi.org/project/brainiak) (πŸ“₯ 100 / month Β· ⏱️ 15.10.2020): ``` pip install brainiak ``` @@ -4227,12 +4227,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Show 10 hidden projects... - DIPY (πŸ₯ˆ33 Β· ⭐ 680) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains.. ❗Unlicensed -- NiftyNet (πŸ₯‰24 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - MedPy (πŸ₯‰24 Β· ⭐ 550) - Medical image processing in Python. ❗️GPL-3.0 +- NiftyNet (πŸ₯‰23 Β· ⭐ 1.4K Β· πŸ’€) - [unmaintained] An open-source convolutional neural.. Apache-2 - NIPY (πŸ₯‰23 Β· ⭐ 370) - Neuroimaging in Python FMRI analysis package. ❗Unlicensed - Glow (πŸ₯‰23 Β· ⭐ 260) - An open-source toolkit for large-scale genomic analysis. Apache-2 -- DLTK (πŸ₯‰21 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 -- MedicalTorch (πŸ₯‰16 Β· ⭐ 830 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 +- DLTK (πŸ₯‰20 Β· ⭐ 1.4K Β· πŸ’€) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 +- MedicalTorch (πŸ₯‰16 Β· ⭐ 840 Β· πŸ’€) - A medical imaging framework for Pytorch. Apache-2 - Medical Detection Toolkit (πŸ₯‰15 Β· ⭐ 1.3K Β· πŸ’€) - The Medical Detection Toolkit contains 2D + 3D.. Apache-2 - DeepNeuro (πŸ₯‰13 Β· ⭐ 120 Β· πŸ’€) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (πŸ₯‰12 Β· ⭐ 1.8K Β· πŸ’€) - Many studies have shown that the performance on deep learning is.. MIT @@ -4247,24 +4247,24 @@ _Libraries for processing tabular and structured data._
pytorch_tabular (πŸ₯‡23 Β· ⭐ 1.2K) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“₯ 27 Β· πŸ“‹ 140 - 9% open Β· ⏱️ 10.04.2024): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“₯ 27 Β· πŸ“‹ 140 - 8% open Β· ⏱️ 10.04.2024): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 2.8K / month Β· πŸ“¦ 2 Β· ⏱️ 15.01.2024): +- [PyPi](https://pypi.org/project/pytorch_tabular) (πŸ“₯ 4.2K / month Β· πŸ“¦ 2 Β· ⏱️ 15.01.2024): ``` pip install pytorch_tabular ```
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miceforest (πŸ₯ˆ22 Β· ⭐ 310) - Multiple Imputation with LightGBM in Python. MIT +
miceforest (πŸ₯ˆ22 Β· ⭐ 320) - Multiple Imputation with LightGBM in Python. MIT - [GitHub](https://github.com/AnotherSamWilson/miceforest) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 27 Β· πŸ“¦ 140 Β· πŸ“‹ 82 - 26% open Β· ⏱️ 27.04.2024): ``` git clone https://github.com/AnotherSamWilson/miceforest ``` -- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 38K / month Β· πŸ“¦ 5 Β· ⏱️ 16.11.2023): +- [PyPi](https://pypi.org/project/miceforest) (πŸ“₯ 44K / month Β· πŸ“¦ 5 Β· ⏱️ 16.11.2023): ``` pip install miceforest ``` @@ -4280,7 +4280,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 360 / month Β· ⏱️ 09.01.2024): +- [PyPi](https://pypi.org/project/carefree-learn) (πŸ“₯ 300 / month Β· ⏱️ 09.01.2024): ``` pip install carefree-learn ``` @@ -4300,7 +4300,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (πŸ₯‡38 Β· ⭐ 39K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 7.2K Β· πŸ“¦ 2.6K Β· πŸ“‹ 9.2K - 13% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 7.2K Β· πŸ“¦ 2.6K Β· πŸ“‹ 9.3K - 12% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/PaddlePaddle/PaddleOCR @@ -4317,30 +4317,30 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 240K / month Β· πŸ“¦ 170 Β· ⏱️ 04.09.2023): +- [PyPi](https://pypi.org/project/easyocr) (πŸ“₯ 250K / month Β· πŸ“¦ 170 Β· ⏱️ 04.09.2023): ``` pip install easyocr ```
OCRmyPDF (πŸ₯ˆ33 Β· ⭐ 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 890 Β· πŸ“₯ 3.3K Β· πŸ“¦ 820 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 11.05.2024): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 900 Β· πŸ“₯ 3.4K Β· πŸ“¦ 820 Β· πŸ“‹ 1.1K - 9% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 100K / month Β· πŸ“¦ 24 Β· ⏱️ 16.04.2024): +- [PyPi](https://pypi.org/project/ocrmypdf) (πŸ“₯ 98K / month Β· πŸ“¦ 24 Β· ⏱️ 21.05.2024): ``` pip install ocrmypdf ``` -- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 65K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (πŸ“₯ 66K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge ocrmypdf ```
tesserocr (πŸ₯ˆ32 Β· ⭐ 1.9K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 240 Β· πŸ“¦ 980 Β· πŸ“‹ 280 - 18% open Β· ⏱️ 27.04.2024): +- [GitHub](https://github.com/sirfz/tesserocr) (πŸ‘¨β€πŸ’» 30 Β· πŸ”€ 250 Β· πŸ“₯ 250 Β· πŸ“¦ 990 Β· πŸ“‹ 280 - 18% open Β· ⏱️ 27.04.2024): ``` git clone https://github.com/sirfz/tesserocr @@ -4354,30 +4354,30 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge tesserocr ```
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Tesseract (πŸ₯ˆ31 Β· ⭐ 5.6K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
Tesseract (πŸ₯ˆ30 Β· ⭐ 5.6K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (πŸ‘¨β€πŸ’» 49 Β· πŸ”€ 700 Β· πŸ“‹ 360 - 3% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 2M / month Β· πŸ“¦ 840 Β· ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/pytesseract) (πŸ“₯ 2.1M / month Β· πŸ“¦ 840 Β· ⏱️ 16.08.2022): ``` pip install pytesseract ``` -- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 600K Β· ⏱️ 15.10.2023): +- [Conda](https://anaconda.org/conda-forge/pytesseract) (πŸ“₯ 610K Β· ⏱️ 15.10.2023): ``` conda install -c conda-forge pytesseract ```
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MMOCR (πŸ₯‰27 Β· ⭐ 4.1K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 +
MMOCR (πŸ₯‰26 Β· ⭐ 4.1K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 - [GitHub](https://github.com/open-mmlab/mmocr) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 720 Β· πŸ“¦ 120 Β· πŸ“‹ 910 - 18% open Β· ⏱️ 23.04.2024): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 9.8K / month Β· πŸ“¦ 3 Β· ⏱️ 05.05.2022): +- [PyPi](https://pypi.org/project/mmocr) (πŸ“₯ 5.7K / month Β· πŸ“¦ 3 Β· ⏱️ 05.05.2022): ``` pip install mmocr ``` @@ -4389,7 +4389,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/faustomorales/keras-ocr ``` -- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 41K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): +- [PyPi](https://pypi.org/project/keras-ocr) (πŸ“₯ 47K / month Β· πŸ“¦ 8 Β· ⏱️ 06.11.2023): ``` pip install keras-ocr ``` @@ -4405,7 +4405,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/emedvedev/attention-ocr ``` -- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 300 / month Β· ⏱️ 19.04.2019): +- [PyPi](https://pypi.org/project/aocr) (πŸ“₯ 200 / month Β· ⏱️ 19.04.2019): ``` pip install aocr ``` @@ -4417,7 +4417,7 @@ _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“₯ 2.1K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): +- [PyPi](https://pypi.org/project/calamari_ocr) (πŸ“₯ 2.2K / month Β· πŸ“¦ 5 Β· ⏱️ 18.08.2023): ``` pip install calamari_ocr ``` @@ -4478,44 +4478,44 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Ray (πŸ₯‡45 Β· ⭐ 31K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5.3K Β· πŸ“₯ 210 Β· πŸ“¦ 15K Β· πŸ“‹ 18K - 20% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/ray-project/ray) (πŸ‘¨β€πŸ’» 1K Β· πŸ”€ 5.3K Β· πŸ“₯ 210 Β· πŸ“¦ 16K Β· πŸ“‹ 18K - 20% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 4.6M / month Β· πŸ“¦ 690 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/ray) (πŸ“₯ 4.5M / month Β· πŸ“¦ 690 Β· ⏱️ 22.05.2024): ``` pip install ray ``` -- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 220K Β· ⏱️ 27.04.2024): +- [Conda](https://anaconda.org/conda-forge/ray-tune) (πŸ“₯ 220K Β· ⏱️ 23.05.2024): ``` conda install -c conda-forge ray-tune ```
dask (πŸ₯‡44 Β· ⭐ 12K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 1.7K Β· πŸ“¦ 60K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/dask/dask) (πŸ‘¨β€πŸ’» 600 Β· πŸ”€ 1.7K Β· πŸ“¦ 60K Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/dask/dask ``` -- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.3M / month Β· πŸ“¦ 2.1K Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/dask) (πŸ“₯ 8.5M / month Β· πŸ“¦ 2.1K Β· ⏱️ 17.05.2024): ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 04.05.2024): +- [Conda](https://anaconda.org/conda-forge/dask) (πŸ“₯ 11M Β· ⏱️ 18.05.2024): ``` conda install -c conda-forge dask ```
DeepSpeed (πŸ₯‡41 Β· ⭐ 33K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2 -- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.9K Β· πŸ“¦ 7K Β· πŸ“‹ 2.7K - 39% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/microsoft/DeepSpeed) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 3.9K Β· πŸ“¦ 7.1K Β· πŸ“‹ 2.7K - 39% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 530K / month Β· πŸ“¦ 160 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/deepspeed) (πŸ“₯ 520K / month Β· πŸ“¦ 160 Β· ⏱️ 23.04.2024): ``` pip install deepspeed ``` @@ -4526,16 +4526,16 @@ _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”€ 710 Β· πŸ“¦ 34K Β· πŸ“‹ 3.8K - 39% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/dask/distributed) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 710 Β· πŸ“¦ 34K Β· πŸ“‹ 3.8K - 39% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.8M / month Β· πŸ“¦ 740 Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/distributed) (πŸ“₯ 3.9M / month Β· πŸ“¦ 740 Β· ⏱️ 17.05.2024): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 14M Β· ⏱️ 03.05.2024): +- [Conda](https://anaconda.org/conda-forge/distributed) (πŸ“₯ 14M Β· ⏱️ 17.05.2024): ``` conda install -c conda-forge distributed ``` @@ -4547,26 +4547,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/horovod/horovod ``` -- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 66K / month Β· πŸ“¦ 29 Β· ⏱️ 12.06.2023): +- [PyPi](https://pypi.org/project/horovod) (πŸ“₯ 63K / month Β· πŸ“¦ 29 Β· ⏱️ 12.06.2023): ``` pip install horovod ```
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H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.7K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 +
H2O-3 (πŸ₯ˆ35 Β· ⭐ 6.8K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.3K - 29% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/h2oai/h2o-3) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 2K Β· πŸ“¦ 21 Β· πŸ“‹ 9.4K - 29% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 310K / month Β· πŸ“¦ 44 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/h2o) (πŸ“₯ 300K / month Β· πŸ“¦ 46 Β· ⏱️ 13.05.2024): ``` pip install h2o ```
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metrics (πŸ₯ˆ35 Β· ⭐ 2K Β· πŸ“‰) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 +
metrics (πŸ₯ˆ35 Β· ⭐ 2K) - Torchmetrics - Machine learning metrics for distributed, scalable.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 380 Β· πŸ“₯ 5.1K Β· πŸ“¦ 25K Β· πŸ“‹ 820 - 8% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/Lightning-AI/torchmetrics) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 380 Β· πŸ“₯ 5.2K Β· πŸ“¦ 25K Β· πŸ“‹ 820 - 9% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/Lightning-AI/metrics @@ -4580,9 +4580,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge torchmetrics ```
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ColossalAI (πŸ₯ˆ33 Β· ⭐ 38K) - Making large AI models cheaper, faster and more accessible. Apache-2 +
ColossalAI (πŸ₯ˆ34 Β· ⭐ 38K Β· πŸ“ˆ) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.2K Β· πŸ“¦ 370 Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 4.2K Β· πŸ“¦ 370 Β· πŸ“‹ 1.6K - 25% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/hpcaitech/colossalai @@ -4590,12 +4590,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (πŸ₯ˆ33 Β· ⭐ 6.1K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2 -- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“₯ 470 Β· πŸ“¦ 51 Β· πŸ“‹ 2.3K - 35% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/intel-analytics/ipex-llm) (πŸ‘¨β€πŸ’» 99 Β· πŸ”€ 1.2K Β· πŸ“₯ 480 Β· πŸ“¦ 51 Β· πŸ“‹ 2.3K - 35% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 4.1K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): +- [PyPi](https://pypi.org/project/bigdl) (πŸ“₯ 2.4K / month Β· πŸ“¦ 2 Β· ⏱️ 24.03.2024): ``` pip install bigdl ``` @@ -4610,28 +4610,28 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
FairScale (πŸ₯ˆ32 Β· ⭐ 2.9K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 260 Β· πŸ“¦ 5K Β· πŸ“‹ 380 - 25% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/facebookresearch/fairscale) (πŸ‘¨β€πŸ’» 75 Β· πŸ”€ 260 Β· πŸ“¦ 5.1K Β· πŸ“‹ 380 - 25% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 530K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (πŸ“₯ 520K / month Β· πŸ“¦ 66 Β· ⏱️ 11.12.2022): ``` pip install fairscale ``` -- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 190K Β· ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/fairscale) (πŸ“₯ 200K Β· ⏱️ 28.11.2023): ``` conda install -c conda-forge fairscale ```
SynapseML (πŸ₯ˆ30 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 750 - 46% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 750 - 46% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 230K / month Β· πŸ“¦ 5 Β· ⏱️ 11.04.2024): +- [PyPi](https://pypi.org/project/synapseml) (πŸ“₯ 240K / month Β· πŸ“¦ 5 Β· ⏱️ 11.04.2024): ``` pip install synapseml ``` @@ -4643,7 +4643,7 @@ _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“₯ 330K / month Β· πŸ“¦ 89 Β· ⏱️ 02.04.2024): +- [PyPi](https://pypi.org/project/dask-ml) (πŸ“₯ 280K / month Β· πŸ“¦ 89 Β· ⏱️ 02.04.2024): ``` pip install dask-ml ``` @@ -4654,12 +4654,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (πŸ₯ˆ30 Β· ⭐ 760) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 23K Β· πŸ“‹ 160 - 4% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/mpi4py/mpi4py) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 110 Β· πŸ“₯ 24K Β· πŸ“‹ 160 - 4% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 220K / month Β· πŸ“¦ 670 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/mpi4py) (πŸ“₯ 230K / month Β· πŸ“¦ 670 Β· ⏱️ 14.04.2024): ``` pip install mpi4py ``` @@ -4675,7 +4675,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 35K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/petastorm) (πŸ“₯ 36K / month Β· πŸ“¦ 8 Β· ⏱️ 03.02.2023): ``` pip install petastorm ``` @@ -4687,7 +4687,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 300K / month Β· πŸ“¦ 39 Β· ⏱️ 09.11.2023): +- [PyPi](https://pypi.org/project/submitit) (πŸ“₯ 280K / month Β· πŸ“¦ 39 Β· ⏱️ 09.11.2023): ``` pip install submitit ``` @@ -4698,7 +4698,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
Apache Singa (πŸ₯‰25 Β· ⭐ 3.3K) - a distributed deep learning platform. Apache-2 -- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 90 Β· πŸ”€ 1.2K Β· πŸ“¦ 3 Β· πŸ“‹ 130 - 40% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/apache/singa) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 1.2K Β· πŸ“¦ 3 Β· πŸ“‹ 130 - 40% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/apache/singa @@ -4719,19 +4719,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4.4K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): +- [PyPi](https://pypi.org/project/hivemind) (πŸ“₯ 4K / month Β· πŸ“¦ 10 Β· ⏱️ 31.08.2023): ``` pip install hivemind ```
MMLSpark (πŸ₯‰23 Β· ⭐ 5K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 750 - 46% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/microsoft/SynapseML) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 820 Β· πŸ“‹ 750 - 46% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 2 / month Β· ⏱️ 18.03.2020): +- [PyPi](https://pypi.org/project/mmlspark) (πŸ“₯ 1 / month Β· ⏱️ 18.03.2020): ``` pip install mmlspark ``` @@ -4743,7 +4743,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/intel-analytics/analytics-zoo ``` -- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 510 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (πŸ“₯ 470 / month Β· πŸ“¦ 1 Β· ⏱️ 22.08.2022): ``` pip install analytics-zoo ``` @@ -4755,7 +4755,7 @@ _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“₯ 45K / month Β· πŸ“¦ 3 Β· ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (πŸ“₯ 47K / month Β· πŸ“¦ 3 Β· ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ``` @@ -4767,7 +4767,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/deepmind/launchpad ``` -- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/dm-launchpad) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install dm-launchpad ``` @@ -4778,13 +4778,13 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - ipyparallel (πŸ₯ˆ30 Β· ⭐ 2.6K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed - TensorFlowOnSpark (πŸ₯‰27 Β· ⭐ 3.9K Β· πŸ’€) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - Elephas (πŸ₯‰27 Β· ⭐ 1.6K Β· πŸ’€) - Distributed Deep learning with Keras & Spark. MIT keras -- sk-dist (πŸ₯‰21 Β· ⭐ 290 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 +- sk-dist (πŸ₯‰22 Β· ⭐ 280 Β· πŸ’€) - Distributed scikit-learn meta-estimators in PySpark. Apache-2 +- somoclu (πŸ₯‰21 Β· ⭐ 260) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT - BytePS (πŸ₯‰20 Β· ⭐ 3.6K Β· πŸ’€) - A high performance and generic framework for distributed DNN.. Apache-2 - TensorFrames (πŸ₯‰20 Β· ⭐ 750 Β· πŸ’€) - [DEPRECATED] Tensorflow wrapper for DataFrames on.. Apache-2 -- somoclu (πŸ₯‰20 Β· ⭐ 260) - Massively parallel self-organizing maps: accelerate training on multicore.. MIT - mesh-transformer-jax (πŸ₯‰18 Β· ⭐ 6.2K Β· πŸ’€) - Model parallel transformers in JAX and Haiku. Apache-2 - parallelformers (πŸ₯‰18 Β· ⭐ 760 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 +- bluefog (πŸ₯‰18 Β· ⭐ 290 Β· πŸ’€) - Distributed and decentralized training framework for PyTorch.. Apache-2 - Fiber (πŸ₯‰16 Β· ⭐ 1K Β· πŸ’€) - Distributed Computing for AI Made Simple. Apache-2 - LazyCluster (πŸ₯‰13 Β· ⭐ 50 Β· πŸ’€) - Distributed machine learning made simple. Apache-2 - moolib (πŸ₯‰11 Β· ⭐ 360 Β· πŸ’€) - A library for distributed ML training with PyTorch. MIT @@ -4800,28 +4800,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Ax (πŸ₯‡35 Β· ⭐ 2.3K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 290 Β· πŸ“¦ 710 Β· πŸ“‹ 730 - 15% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/facebook/Ax) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 290 Β· πŸ“¦ 720 Β· πŸ“‹ 730 - 15% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 95K / month Β· πŸ“¦ 48 Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/ax-platform) (πŸ“₯ 96K / month Β· πŸ“¦ 48 Β· ⏱️ 02.05.2024): ``` pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 19K Β· ⏱️ 03.05.2024): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (πŸ“₯ 20K Β· ⏱️ 03.05.2024): ``` conda install -c conda-forge ax-platform ```
featuretools (πŸ₯‡34 Β· ⭐ 7.1K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 860 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 14% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/alteryx/featuretools) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 860 Β· πŸ“¦ 1.6K Β· πŸ“‹ 1K - 14% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 63K / month Β· πŸ“¦ 73 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/featuretools) (πŸ“₯ 68K / month Β· πŸ“¦ 73 Β· ⏱️ 14.05.2024): ``` pip install featuretools ``` @@ -4832,12 +4832,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
BoTorch (πŸ₯‡34 Β· ⭐ 3K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 370 Β· πŸ“¦ 990 Β· πŸ“‹ 490 - 14% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/pytorch/botorch) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 370 Β· πŸ“¦ 1K Β· πŸ“‹ 490 - 14% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/pytorch/botorch ``` -- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 140K / month Β· πŸ“¦ 74 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/botorch) (πŸ“₯ 150K / month Β· πŸ“¦ 74 Β· ⏱️ 01.05.2024): ``` pip install botorch ``` @@ -4848,12 +4848,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
NNI (πŸ₯‡33 Β· ⭐ 14K Β· πŸ’€) - 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“¦ 640 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 26.10.2023): +- [GitHub](https://github.com/microsoft/nni) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 1.8K Β· πŸ“¦ 650 Β· πŸ“‹ 2.1K - 18% open Β· ⏱️ 26.10.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 18K / month Β· πŸ“¦ 38 Β· ⏱️ 14.09.2023): +- [PyPi](https://pypi.org/project/nni) (πŸ“₯ 17K / month Β· πŸ“¦ 38 Β· ⏱️ 14.09.2023): ``` pip install nni ``` @@ -4872,28 +4872,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoGluon (πŸ₯‡33 Β· ⭐ 7.2K) - Fast and Accurate ML in 3 Lines of Code. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 850 Β· πŸ“¦ 690 Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/autogluon/autogluon) (πŸ‘¨β€πŸ’» 120 Β· πŸ”€ 850 Β· πŸ“¦ 700 Β· πŸ“‹ 1.3K - 26% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 82K / month Β· πŸ“¦ 21 Β· ⏱️ 16.05.2024): +- [PyPi](https://pypi.org/project/autogluon) (πŸ“₯ 75K / month Β· πŸ“¦ 23 Β· ⏱️ 23.05.2024): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 7.6K Β· ⭐ 17 Β· ⏱️ 07.03.2024): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (πŸ“₯ 7.7K Β· ⭐ 17 Β· ⏱️ 07.03.2024): ``` docker pull autogluon/autogluon ```
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Bayesian Optimization (πŸ₯ˆ32 Β· ⭐ 7.5K) - A Python implementation of global optimization with.. MIT +
Bayesian Optimization (πŸ₯ˆ32 Β· ⭐ 7.6K) - A Python implementation of global optimization with.. MIT - [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 1.5K Β· πŸ“₯ 150 Β· πŸ“¦ 2.6K Β· πŸ“‹ 340 - 4% open Β· ⏱️ 06.03.2024): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 540K / month Β· πŸ“¦ 130 Β· ⏱️ 25.04.2023): +- [PyPi](https://pypi.org/project/bayesian-optimization) (πŸ“₯ 550K / month Β· πŸ“¦ 130 Β· ⏱️ 25.04.2023): ``` pip install bayesian-optimization ``` @@ -4905,7 +4905,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/hyperopt/hyperopt ``` -- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.3M / month Β· πŸ“¦ 420 Β· ⏱️ 17.11.2021): +- [PyPi](https://pypi.org/project/hyperopt) (πŸ“₯ 2.4M / month Β· πŸ“¦ 420 Β· ⏱️ 17.11.2021): ``` pip install hyperopt ``` @@ -4921,43 +4921,43 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 280K / month Β· πŸ“¦ 100 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/keras-tuner) (πŸ“₯ 270K / month Β· πŸ“¦ 100 Β· ⏱️ 04.03.2024): ``` pip install keras-tuner ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 31K Β· ⏱️ 05.03.2024): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (πŸ“₯ 32K Β· ⏱️ 05.03.2024): ``` conda install -c conda-forge keras-tuner ```
nevergrad (πŸ₯ˆ30 Β· ⭐ 3.9K) - A Python toolbox for performing gradient-free optimization. MIT -- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 350 Β· πŸ“¦ 670 Β· πŸ“‹ 300 - 42% open Β· ⏱️ 08.04.2024): +- [GitHub](https://github.com/facebookresearch/nevergrad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 350 Β· πŸ“¦ 680 Β· πŸ“‹ 300 - 42% open Β· ⏱️ 08.04.2024): ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 220K / month Β· πŸ“¦ 46 Β· ⏱️ 20.02.2024): +- [PyPi](https://pypi.org/project/nevergrad) (πŸ“₯ 240K / month Β· πŸ“¦ 46 Β· ⏱️ 20.02.2024): ``` pip install nevergrad ``` -- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 48K Β· ⏱️ 09.01.2024): +- [Conda](https://anaconda.org/conda-forge/nevergrad) (πŸ“₯ 49K Β· ⏱️ 09.01.2024): ``` conda install -c conda-forge nevergrad ```
mljar-supervised (πŸ₯ˆ29 Β· ⭐ 2.9K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 380 Β· πŸ“¦ 110 Β· πŸ“‹ 620 - 22% open Β· ⏱️ 13.04.2024): +- [GitHub](https://github.com/mljar/mljar-supervised) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 390 Β· πŸ“¦ 110 Β· πŸ“‹ 630 - 23% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 3.5K / month Β· πŸ“¦ 2 Β· ⏱️ 10.04.2024): +- [PyPi](https://pypi.org/project/mljar-supervised) (πŸ“₯ 3.1K / month Β· πŸ“¦ 3 Β· ⏱️ 22.05.2024): ``` pip install mljar-supervised ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 14K Β· ⏱️ 15.04.2024): +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (πŸ“₯ 15K Β· ⏱️ 22.05.2024): ``` conda install -c conda-forge mljar-supervised ``` @@ -4969,26 +4969,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.7K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): +- [PyPi](https://pypi.org/project/talos) (πŸ“₯ 1.3K / month Β· πŸ“¦ 8 Β· ⏱️ 21.04.2024): ``` pip install talos ```
FEDOT (πŸ₯‰24 Β· ⭐ 610) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 83 Β· πŸ“¦ 45 Β· πŸ“‹ 530 - 17% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/aimclub/FEDOT) (πŸ‘¨β€πŸ’» 33 Β· πŸ”€ 84 Β· πŸ“¦ 46 Β· πŸ“‹ 530 - 17% open Β· ⏱️ 17.05.2024): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.1K / month Β· πŸ“¦ 5 Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/fedot) (πŸ“₯ 1.2K / month Β· πŸ“¦ 5 Β· ⏱️ 03.05.2024): ``` pip install fedot ```
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featurewiz (πŸ₯‰23 Β· ⭐ 550) - Use advanced feature engineering strategies and select best.. Apache-2 +
featurewiz (πŸ₯‰23 Β· ⭐ 560) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 67 Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/AutoViML/featurewiz) (πŸ‘¨β€πŸ’» 18 Β· πŸ”€ 85 Β· πŸ“¦ 67 Β· πŸ“‹ 92 - 1% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/AutoViML/featurewiz @@ -5005,19 +5005,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 2.5K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): +- [PyPi](https://pypi.org/project/autoviml) (πŸ“₯ 2.2K / month Β· πŸ“¦ 3 Β· ⏱️ 11.05.2024): ``` pip install autoviml ```
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Hyperactive (πŸ₯‰20 Β· ⭐ 490) - An optimization and data collection toolbox for convenient and fast.. MIT +
Hyperactive (πŸ₯‰22 Β· ⭐ 490 Β· πŸ“ˆ) - An optimization and data collection toolbox for convenient and.. MIT -- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 41 Β· πŸ“₯ 140 Β· πŸ“¦ 29 Β· πŸ“‹ 61 - 14% open Β· ⏱️ 15.12.2023): +- [GitHub](https://github.com/SimonBlanke/Hyperactive) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 41 Β· πŸ“₯ 140 Β· πŸ“¦ 29 Β· πŸ“‹ 60 - 13% open Β· ⏱️ 17.05.2024): ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 3.7K / month Β· πŸ“¦ 5 Β· ⏱️ 24.10.2023): +- [PyPi](https://pypi.org/project/hyperactive) (πŸ“₯ 2.9K / month Β· πŸ“¦ 13 Β· ⏱️ 17.05.2024): ``` pip install hyperactive ``` @@ -5029,31 +5029,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 200 / month Β· ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (πŸ“₯ 180 / month Β· ⏱️ 29.08.2020): ``` pip install alphapy ```
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shap-hypetune (πŸ₯‰18 Β· ⭐ 540) - A python package for simultaneous Hyperparameters Tuning and.. MIT +
shap-hypetune (πŸ₯‰19 Β· ⭐ 540) - A python package for simultaneous Hyperparameters Tuning and.. MIT - [GitHub](https://github.com/cerlymarco/shap-hypetune) (πŸ‘¨β€πŸ’» 3 Β· πŸ”€ 68 Β· πŸ“¦ 15 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 21.02.2024): ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.4K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): +- [PyPi](https://pypi.org/project/shap-hypetune) (πŸ“₯ 1.3K / month Β· πŸ“¦ 2 Β· ⏱️ 21.02.2024): ``` pip install shap-hypetune ```
opytimizer (πŸ₯‰17 Β· ⭐ 600) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 -- [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 40 Β· πŸ“¦ 16 Β· ⏱️ 21.12.2023): +- [GitHub](https://github.com/gugarosa/opytimizer) (πŸ‘¨β€πŸ’» 4 Β· πŸ”€ 41 Β· πŸ“¦ 16 Β· ⏱️ 21.12.2023): ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 290 / month Β· ⏱️ 04.05.2022): +- [PyPi](https://pypi.org/project/opytimizer) (πŸ“₯ 200 / month Β· ⏱️ 04.05.2022): ``` pip install opytimizer ``` @@ -5069,23 +5069,23 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - SMAC3 (πŸ₯ˆ25 Β· ⭐ 1K) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause - GPyOpt (πŸ₯ˆ25 Β· ⭐ 920 Β· πŸ’€) - Gaussian Process Optimization using GPy. BSD-3 - lightwood (πŸ₯ˆ25 Β· ⭐ 430) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 -- auto_ml (πŸ₯‰24 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - AdaNet (πŸ₯‰23 Β· ⭐ 3.5K Β· πŸ’€) - Fast and flexible AutoML with learning guarantees. Apache-2 - Orion (πŸ₯‰23 Β· ⭐ 280) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 +- auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - Test Tube (πŸ₯‰22 Β· ⭐ 740 Β· πŸ’€) - Python library to easily log experiments and parallelize.. MIT - HpBandSter (πŸ₯‰22 Β· ⭐ 600 Β· πŸ’€) - a distributed Hyperband implementation on Steroids. BSD-3 - MLBox (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ’€) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Neuraxle (πŸ₯‰21 Β· ⭐ 600 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 - igel (πŸ₯‰20 Β· ⭐ 3.1K Β· πŸ’€) - a delightful machine learning tool that allows you to train, test, and.. MIT - sklearn-deap (πŸ₯‰20 Β· ⭐ 760 Β· πŸ’€) - Use evolutionary algorithms instead of gridsearch in.. MIT - Dragonfly (πŸ₯‰19 Β· ⭐ 840 Β· πŸ’€) - An open source python library for scalable Bayesian optimisation. MIT - Auto Tune Models (πŸ₯‰19 Β· ⭐ 520 Β· πŸ’€) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT +- optunity (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 - Sherpa (πŸ₯‰18 Β· ⭐ 330 Β· πŸ’€) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 - Advisor (πŸ₯‰17 Β· ⭐ 1.5K Β· πŸ’€) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2 - Xcessiv (πŸ₯‰17 Β· ⭐ 1.3K Β· πŸ’€) - A web-based application for quick, scalable, and automated.. Apache-2 -- HyperparameterHunter (πŸ₯‰17 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - automl-gs (πŸ₯‰16 Β· ⭐ 1.8K Β· πŸ’€) - Provide an input CSV and a target field to predict, generate a.. MIT +- HyperparameterHunter (πŸ₯‰16 Β· ⭐ 700 Β· πŸ’€) - Easy hyperparameter optimization and automatic result.. MIT - Parfit (πŸ₯‰16 Β· ⭐ 200 Β· πŸ’€) - A package for parallelizing the fit and flexibly scoring of.. MIT - ENAS (πŸ₯‰13 Β· ⭐ 2.7K Β· πŸ’€) - PyTorch implementation of Efficient Neural Architecture Search via.. Apache-2 - model_search (πŸ₯‰12 Β· ⭐ 3.3K Β· πŸ’€) - AutoML algorithms for model architecture search at scale. Apache-2 @@ -5102,7 +5102,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc _Libraries for building and evaluating reinforcement learning & agent-based systems._ -
FinRL (πŸ₯‡31 Β· ⭐ 9.2K) - FinRL: Financial Reinforcement Learning. MIT +
FinRL (πŸ₯‡30 Β· ⭐ 9.2K) - FinRL: Financial Reinforcement Learning. MIT - [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 2.2K Β· πŸ“¦ 39 Β· πŸ“‹ 690 - 31% open Β· ⏱️ 13.05.2024): @@ -5121,35 +5121,35 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/google/dopamine ``` -- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 27K / month Β· πŸ“¦ 10 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/dopamine-rl) (πŸ“₯ 32K / month Β· πŸ“¦ 10 Β· ⏱️ 06.05.2024): ``` pip install dopamine-rl ```
Acme (πŸ₯‡28 Β· ⭐ 3.4K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 410 Β· πŸ“¦ 200 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/google-deepmind/acme) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 410 Β· πŸ“¦ 200 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 2K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (πŸ“₯ 1.5K / month Β· πŸ“¦ 3 Β· ⏱️ 10.02.2022): ``` pip install dm-acme ``` -- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8.5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dm-acme) (πŸ“₯ 8.6K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge dm-acme ```
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TF-Agents (πŸ₯‡28 Β· ⭐ 2.7K Β· πŸ“‰) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 +
TF-Agents (πŸ₯‡28 Β· ⭐ 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 - [GitHub](https://github.com/tensorflow/agents) (πŸ‘¨β€πŸ’» 150 Β· πŸ”€ 720 Β· πŸ“‹ 660 - 29% open Β· ⏱️ 20.03.2024): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 47K / month Β· πŸ“¦ 12 Β· ⏱️ 14.12.2023): +- [PyPi](https://pypi.org/project/tf-agents) (πŸ“₯ 44K / month Β· πŸ“¦ 12 Β· ⏱️ 14.12.2023): ``` pip install tf-agents ``` @@ -5161,7 +5161,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 3K / month Β· πŸ“¦ 13 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/vizdoom) (πŸ“₯ 2.3K / month Β· πŸ“¦ 13 Β· ⏱️ 16.12.2023): ``` pip install vizdoom ``` @@ -5173,14 +5173,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 940 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/tensorforce) (πŸ“₯ 870 / month Β· πŸ“¦ 4 Β· ⏱️ 30.08.2021): ``` pip install tensorforce ```
RLax (πŸ₯ˆ27 Β· ⭐ 1.2K) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 84 Β· πŸ“¦ 230 Β· πŸ“‹ 25 - 28% open Β· ⏱️ 24.11.2023): +- [GitHub](https://github.com/google-deepmind/rlax) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 83 Β· πŸ“¦ 230 Β· πŸ“‹ 25 - 28% open Β· ⏱️ 24.11.2023): ``` git clone https://github.com/deepmind/rlax @@ -5192,12 +5192,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
PARL (πŸ₯‰25 Β· ⭐ 3.2K) - A high-performance distributed training framework for Reinforcement.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 530 - 25% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/PaddlePaddle/PARL) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 810 Β· πŸ“¦ 120 Β· πŸ“‹ 530 - 25% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 920 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/parl) (πŸ“₯ 820 / month Β· πŸ“¦ 1 Β· ⏱️ 13.05.2022): ``` pip install parl ``` @@ -5209,14 +5209,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 34 / month Β· ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (πŸ“₯ 26 / month Β· ⏱️ 27.05.2020): ``` pip install reagent ```
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PFRL (πŸ₯‰23 Β· ⭐ 1.1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT +
PFRL (πŸ₯‰23 Β· ⭐ 1.2K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT -- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“¦ 110 Β· πŸ“‹ 78 - 42% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/pfnet/pfrl) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 150 Β· πŸ“¦ 110 Β· πŸ“‹ 79 - 41% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/pfnet/pfrl @@ -5263,29 +5263,17 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (πŸ₯‡35 Β· ⭐ 18K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3K Β· πŸ“₯ 490 Β· πŸ“¦ 110 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 01.05.2024): +- [GitHub](https://github.com/recommenders-team/recommenders) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 3K Β· πŸ“₯ 490 Β· πŸ“¦ 110 Β· πŸ“‹ 840 - 18% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/microsoft/recommenders ``` -- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 24K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/recommenders) (πŸ“₯ 26K / month Β· πŸ“¦ 4 Β· ⏱️ 01.05.2024): ``` pip install recommenders ```
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torchrec (πŸ₯‡31 Β· ⭐ 1.7K) - Pytorch domain library for recommendation systems. BSD-3 - -- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 360 Β· πŸ“¦ 110 Β· πŸ“‹ 360 - 71% open Β· ⏱️ 16.05.2024): - - ``` - git clone https://github.com/pytorch/torchrec - ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 1.3K / month Β· ⏱️ 12.05.2022): - ``` - pip install torchrec-nightly-cpu - ``` -
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implicit (πŸ₯ˆ30 Β· ⭐ 3.4K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT +
implicit (πŸ₯‡30 Β· ⭐ 3.4K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - [GitHub](https://github.com/benfred/implicit) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 600 Β· πŸ“₯ 790 Β· πŸ“¦ 1.3K Β· πŸ“‹ 490 - 17% open Β· ⏱️ 21.11.2023): @@ -5296,12 +5284,12 @@ _Libraries for building and evaluating recommendation systems._ ``` pip install implicit ``` -- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 610K Β· ⏱️ 21.11.2023): +- [Conda](https://anaconda.org/conda-forge/implicit) (πŸ“₯ 630K Β· ⏱️ 21.11.2023): ``` conda install -c conda-forge implicit ```
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TF Recommenders (πŸ₯ˆ30 Β· ⭐ 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2 +
TF Recommenders (πŸ₯‡30 Β· ⭐ 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2 - [GitHub](https://github.com/tensorflow/recommenders) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 260 Β· πŸ“¦ 320 Β· πŸ“‹ 430 - 57% open Β· ⏱️ 16.02.2024): @@ -5313,48 +5301,60 @@ _Libraries for building and evaluating recommendation systems._ pip install tensorflow-recommenders ```
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TF Ranking (πŸ₯ˆ28 Β· ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 +
torchrec (πŸ₯‡30 Β· ⭐ 1.7K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 470 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): +- [GitHub](https://github.com/pytorch/torchrec) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 360 Β· πŸ“¦ 110 Β· πŸ“‹ 360 - 71% open Β· ⏱️ 23.05.2024): ``` - git clone https://github.com/tensorflow/ranking + git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 130K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (πŸ“₯ 530 / month Β· ⏱️ 12.05.2022): ``` - pip install tensorflow_ranking + pip install torchrec-nightly-cpu ```
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Cornac (πŸ₯ˆ28 Β· ⭐ 820) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 +
scikit-surprise (πŸ₯ˆ29 Β· ⭐ 6.2K Β· πŸ“ˆ) - A Python scikit for building and analyzing recommender.. BSD-3 -- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 400 - 22% open Β· ⏱️ 19.05.2024): ``` - git clone https://github.com/PreferredAI/cornac + git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 33K / month Β· πŸ“¦ 18 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 92K / month Β· πŸ“¦ 36 Β· ⏱️ 19.05.2024): ``` - pip install cornac + pip install scikit-surprise ``` -- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 380K Β· ⏱️ 07.05.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (πŸ“₯ 370K Β· ⏱️ 20.05.2024): ``` - conda install -c conda-forge cornac + conda install -c conda-forge scikit-surprise ```
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scikit-surprise (πŸ₯‰27 Β· ⭐ 6.2K) - A Python scikit for building and analyzing recommender.. BSD-3 +
TF Ranking (πŸ₯ˆ28 Β· ⭐ 2.7K) - Learning to Rank in TensorFlow. Apache-2 -- [GitHub](https://github.com/NicolasHug/Surprise) (πŸ‘¨β€πŸ’» 45 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 400 - 22% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/tensorflow/ranking) (πŸ‘¨β€πŸ’» 34 Β· πŸ”€ 470 Β· πŸ“‹ 330 - 27% open Β· ⏱️ 18.03.2024): ``` - git clone https://github.com/NicolasHug/Surprise + git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (πŸ“₯ 87K / month Β· πŸ“¦ 36 Β· ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (πŸ“₯ 130K / month Β· πŸ“¦ 15 Β· ⏱️ 18.03.2024): ``` - pip install scikit-surprise + pip install tensorflow_ranking + ``` +
+
Cornac (πŸ₯ˆ28 Β· ⭐ 820) - A Comparative Framework for Multimodal Recommender Systems. Apache-2 + +- [GitHub](https://github.com/PreferredAI/cornac) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 130 Β· πŸ“¦ 210 Β· πŸ“‹ 150 - 9% open Β· ⏱️ 23.05.2024): + ``` -- [Conda](https://anaconda.org/conda-forge/scikit-surprise) (πŸ“₯ 360K Β· ⏱️ 06.10.2023): + git clone https://github.com/PreferredAI/cornac ``` - conda install -c conda-forge scikit-surprise +- [PyPi](https://pypi.org/project/cornac) (πŸ“₯ 34K / month Β· πŸ“¦ 18 Β· ⏱️ 06.05.2024): + ``` + pip install cornac + ``` +- [Conda](https://anaconda.org/conda-forge/cornac) (πŸ“₯ 380K Β· ⏱️ 22.05.2024): + ``` + conda install -c conda-forge cornac ```
RecBole (πŸ₯‰25 Β· ⭐ 3.2K) - A unified, comprehensive and efficient recommendation library. MIT @@ -5364,7 +5364,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 4.2K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): +- [PyPi](https://pypi.org/project/recbole) (πŸ“₯ 3.8K / month Β· πŸ“¦ 2 Β· ⏱️ 31.10.2023): ``` pip install recbole ``` @@ -5375,7 +5375,7 @@ _Libraries for building and evaluating recommendation systems._
recmetrics (πŸ₯‰20 Β· ⭐ 560 Β· πŸ’€) - A library of metrics for evaluating recommender systems. MIT -- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 97 Β· πŸ“₯ 6 Β· πŸ“¦ 51 Β· πŸ“‹ 28 - 46% open Β· ⏱️ 04.10.2023): +- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 97 Β· πŸ“₯ 6 Β· πŸ“¦ 52 Β· πŸ“‹ 28 - 46% open Β· ⏱️ 04.10.2023): ``` git clone https://github.com/statisticianinstilettos/recmetrics @@ -5387,14 +5387,14 @@ _Libraries for building and evaluating recommendation systems._
Show 8 hidden projects... -- lightfm (πŸ₯ˆ28 Β· ⭐ 4.6K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 +- lightfm (πŸ₯ˆ29 Β· ⭐ 4.6K Β· πŸ’€) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 - lkpy (πŸ₯‰26 Β· ⭐ 260) - Python recommendation toolkit. MIT - tensorrec (πŸ₯‰21 Β· ⭐ 1.3K 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 - Spotlight (πŸ₯‰18 Β· ⭐ 2.9K Β· πŸ’€) - Deep recommender models using PyTorch. MIT - Case Recommender (πŸ₯‰18 Β· ⭐ 460 Β· πŸ’€) - Case Recommender: A Flexible and Extensible Python.. MIT - OpenRec (πŸ₯‰16 Β· ⭐ 410 Β· πŸ’€) - OpenRec is an open-source and modular library for neural network-.. Apache-2 -- Collie (πŸ₯‰16 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3 +- Collie (πŸ₯‰15 Β· ⭐ 100 Β· πŸ’€) - A library for preparing, training, and evaluating scalable deep.. BSD-3

@@ -5406,7 +5406,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (πŸ₯‡37 Β· ⭐ 9.3K) - Perform data science on data that remains in someone elses server. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/OpenMined/PySyft) (πŸ‘¨β€πŸ’» 510 Β· πŸ”€ 2K Β· πŸ“₯ 2.5K Β· πŸ“¦ 1 Β· πŸ“‹ 3.4K - 0% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/OpenMined/PySyft @@ -5416,9 +5416,9 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l pip install syft ```
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Opacus (πŸ₯ˆ30 Β· ⭐ 1.6K) - Training PyTorch models with differential privacy. Apache-2 +
Opacus (πŸ₯ˆ29 Β· ⭐ 1.6K) - Training PyTorch models with differential privacy. Apache-2 -- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 320 Β· πŸ“₯ 110 Β· πŸ“¦ 780 Β· πŸ“‹ 300 - 27% open Β· ⏱️ 05.03.2024): +- [GitHub](https://github.com/pytorch/opacus) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 320 Β· πŸ“₯ 110 Β· πŸ“¦ 790 Β· πŸ“‹ 300 - 27% open Β· ⏱️ 19.05.2024): ``` git clone https://github.com/pytorch/opacus @@ -5446,7 +5446,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
TensorFlow Privacy (πŸ₯‰26 Β· ⭐ 1.9K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 450 Β· πŸ“₯ 150 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/tensorflow/privacy) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 450 Β· πŸ“₯ 160 Β· πŸ“‹ 200 - 55% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/tensorflow/privacy @@ -5456,9 +5456,9 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l pip install tensorflow-privacy ```
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CrypTen (πŸ₯‰25 Β· ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning. MIT +
CrypTen (πŸ₯‰24 Β· ⭐ 1.5K) - A framework for Privacy Preserving Machine Learning. MIT -- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 36 Β· πŸ“‹ 270 - 28% open Β· ⏱️ 11.05.2024): +- [GitHub](https://github.com/facebookresearch/CrypTen) (πŸ‘¨β€πŸ’» 35 Β· πŸ”€ 270 Β· πŸ“¦ 36 Β· πŸ“‹ 270 - 28% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/facebookresearch/CrypTen @@ -5471,7 +5471,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
Show 2 hidden projects... - TFEncrypted (πŸ₯‰24 Β· ⭐ 1.2K Β· πŸ’€) - A Framework for Encrypted Machine Learning in.. Apache-2 -- PipelineDP (πŸ₯‰19 Β· ⭐ 270) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- PipelineDP (πŸ₯‰17 Β· ⭐ 270 Β· πŸ“‰) - PipelineDP is a Python framework for applying differentially.. Apache-2

@@ -5483,23 +5483,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (πŸ₯‡44 Β· ⭐ 17K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 730 Β· πŸ”€ 3.9K Β· πŸ“¦ 35K Β· πŸ“‹ 3.9K - 37% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/mlflow/mlflow) (πŸ‘¨β€πŸ’» 730 Β· πŸ”€ 4K Β· πŸ“¦ 36K Β· πŸ“‹ 3.9K - 37% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/mlflow/mlflow ``` -- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 14M / month Β· πŸ“¦ 770 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/mlflow) (πŸ“₯ 15M / month Β· πŸ“¦ 780 Β· ⏱️ 20.05.2024): ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.9M Β· ⏱️ 10.05.2024): +- [Conda](https://anaconda.org/conda-forge/mlflow) (πŸ“₯ 1.9M Β· ⏱️ 21.05.2024): ``` conda install -c conda-forge mlflow ```
Tensorboard (πŸ₯‡44 Β· ⭐ 6.6K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 230K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/tensorflow/tensorboard) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 1.6K Β· πŸ“¦ 240K Β· πŸ“‹ 1.9K - 35% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/tensorflow/tensorboard @@ -5515,28 +5515,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
wandb client (πŸ₯‡42 Β· ⭐ 8.3K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 610 Β· πŸ“¦ 45K Β· πŸ“‹ 3.1K - 26% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/wandb/wandb) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 610 Β· πŸ“¦ 46K Β· πŸ“‹ 3.1K - 26% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 13M / month Β· πŸ“¦ 1.2K Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/wandb) (πŸ“₯ 14M / month Β· πŸ“¦ 1.2K Β· ⏱️ 07.05.2024): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 500K Β· ⏱️ 25.03.2024): +- [Conda](https://anaconda.org/conda-forge/wandb) (πŸ“₯ 510K Β· ⏱️ 25.03.2024): ``` conda install -c conda-forge wandb ```
DVC (πŸ₯‡41 Β· ⭐ 13K) - ML Experiments and Data Management with Git. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“₯ 41K Β· πŸ“¦ 15K Β· πŸ“‹ 4.6K - 4% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/iterative/dvc) (πŸ‘¨β€πŸ’» 300 Β· πŸ”€ 1.1K Β· πŸ“₯ 41K Β· πŸ“¦ 15K Β· πŸ“‹ 4.6K - 4% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/iterative/dvc ``` -- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 510K / month Β· πŸ“¦ 120 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/dvc) (πŸ“₯ 500K / month Β· πŸ“¦ 120 Β· ⏱️ 13.05.2024): ``` pip install dvc ``` @@ -5545,18 +5545,18 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge dvc ```
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SageMaker SDK (πŸ₯ˆ40 Β· ⭐ 2K) - A library for training and deploying machine learning.. Apache-2 +
SageMaker SDK (πŸ₯ˆ40 Β· ⭐ 2.1K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 1.1K Β· πŸ“¦ 4K Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (πŸ‘¨β€πŸ’» 440 Β· πŸ”€ 1.1K Β· πŸ“¦ 4K Β· πŸ“‹ 1.5K - 19% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 26M / month Β· πŸ“¦ 130 Β· ⏱️ 15.05.2024): +- [PyPi](https://pypi.org/project/sagemaker) (πŸ“₯ 25M / month Β· πŸ“¦ 130 Β· ⏱️ 22.05.2024): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 780K Β· ⏱️ 16.05.2024): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (πŸ“₯ 790K Β· ⏱️ 23.05.2024): ``` conda install -c conda-forge sagemaker-python-sdk ``` @@ -5572,19 +5572,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 45K Β· ⏱️ 25.04.2024): +- [Conda](https://anaconda.org/conda-forge/pycaret) (πŸ“₯ 46K Β· ⏱️ 25.04.2024): ``` conda install -c conda-forge pycaret ```
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Metaflow (πŸ₯ˆ34 Β· ⭐ 7.6K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2 +
Metaflow (πŸ₯ˆ34 Β· ⭐ 7.7K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 720 Β· πŸ“¦ 650 Β· πŸ“‹ 690 - 45% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/Netflix/metaflow) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 720 Β· πŸ“¦ 650 Β· πŸ“‹ 690 - 46% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 530K / month Β· πŸ“¦ 44 Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/metaflow) (πŸ“₯ 540K / month Β· πŸ“¦ 45 Β· ⏱️ 22.05.2024): ``` pip install metaflow ``` @@ -5595,12 +5595,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
ClearML (πŸ₯ˆ34 Β· ⭐ 5.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 630 Β· πŸ“₯ 2.5K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1K - 45% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/allegroai/clearml) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 640 Β· πŸ“₯ 2.5K Β· πŸ“¦ 1.1K Β· πŸ“‹ 1K - 45% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 290K / month Β· πŸ“¦ 33 Β· ⏱️ 08.05.2024): +- [PyPi](https://pypi.org/project/clearml) (πŸ“₯ 300K / month Β· πŸ“¦ 34 Β· ⏱️ 21.05.2024): ``` pip install clearml ``` @@ -5609,32 +5609,32 @@ _Libraries to organize, track, and visualize machine learning experiments._ docker pull allegroai/trains ```
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AzureML SDK (πŸ₯ˆ34 Β· ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine.. MIT +
snakemake (πŸ₯ˆ34 Β· ⭐ 2.1K) - This is the development home of the workflow management system.. MIT -- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 570 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 15.02.2024): +- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 520 Β· πŸ“¦ 2K Β· πŸ“‹ 1.7K - 61% open Β· ⏱️ 22.05.2024): ``` - git clone https://github.com/Azure/MachineLearningNotebooks + git clone https://github.com/snakemake/snakemake ``` -- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 610K / month Β· πŸ“¦ 48 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 57K / month Β· πŸ“¦ 220 Β· ⏱️ 17.05.2024): ``` - pip install azureml-sdk + pip install snakemake + ``` +- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1.1M Β· ⏱️ 03.05.2024): + ``` + conda install -c bioconda snakemake ```
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snakemake (πŸ₯ˆ34 Β· ⭐ 2.1K) - This is the development home of the workflow management system.. MIT +
AzureML SDK (πŸ₯ˆ33 Β· ⭐ 4K) - Python notebooks with ML and deep learning examples with Azure Machine.. MIT -- [GitHub](https://github.com/snakemake/snakemake) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 520 Β· πŸ“¦ 2K Β· πŸ“‹ 1.7K - 61% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 2.5K Β· πŸ“₯ 580 Β· πŸ“‹ 1.5K - 26% open Β· ⏱️ 16.05.2024): ``` - git clone https://github.com/snakemake/snakemake - ``` -- [PyPi](https://pypi.org/project/snakemake) (πŸ“₯ 78K / month Β· πŸ“¦ 220 Β· ⏱️ 16.05.2024): - ``` - pip install snakemake + git clone https://github.com/Azure/MachineLearningNotebooks ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (πŸ“₯ 1M Β· ⏱️ 03.05.2024): +- [PyPi](https://pypi.org/project/azureml-sdk) (πŸ“₯ 580K / month Β· πŸ“¦ 48 Β· ⏱️ 29.04.2024): ``` - conda install -c bioconda snakemake + pip install azureml-sdk ```
tensorboardX (πŸ₯ˆ32 Β· ⭐ 7.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT @@ -5653,46 +5653,46 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge tensorboardx ```
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kaggle (πŸ₯ˆ32 Β· ⭐ 5.9K) - Official Kaggle API. Apache-2 +
kaggle (πŸ₯ˆ32 Β· ⭐ 6K) - Official Kaggle API. Apache-2 -- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 460 - 32% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/Kaggle/kaggle-api) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 1K Β· πŸ“¦ 21 Β· πŸ“‹ 460 - 32% open Β· ⏱️ 17.05.2024): ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 210K / month Β· πŸ“¦ 180 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/kaggle) (πŸ“₯ 210K / month Β· πŸ“¦ 180 Β· ⏱️ 17.05.2024): ``` pip install kaggle ``` -- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 150K Β· ⏱️ 14.04.2024): +- [Conda](https://anaconda.org/conda-forge/kaggle) (πŸ“₯ 150K Β· ⏱️ 17.05.2024): ``` conda install -c conda-forge kaggle ```
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aim (πŸ₯ˆ32 Β· ⭐ 4.8K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 +
aim (πŸ₯ˆ32 Β· ⭐ 4.9K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 290 Β· πŸ“¦ 550 Β· πŸ“‹ 1K - 34% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/aimhubio/aim) (πŸ‘¨β€πŸ’» 64 Β· πŸ”€ 290 Β· πŸ“¦ 560 Β· πŸ“‹ 1K - 34% open Β· ⏱️ 17.04.2024): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 71K / month Β· πŸ“¦ 34 Β· ⏱️ 15.05.2024): +- [PyPi](https://pypi.org/project/aim) (πŸ“₯ 80K / month Β· πŸ“¦ 34 Β· ⏱️ 22.05.2024): ``` pip install aim ``` -- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 46K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/aim) (πŸ“₯ 47K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge aim ```
Neptune.ai (πŸ₯ˆ31 Β· ⭐ 540) - The MLOps stack component for experiment tracking. Apache-2 -- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 58 Β· πŸ“¦ 480 Β· πŸ“‹ 230 - 9% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/neptune-ai/neptune-client) (πŸ‘¨β€πŸ’» 54 Β· πŸ”€ 58 Β· πŸ“¦ 480 Β· πŸ“‹ 230 - 9% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/neptune-ai/neptune-client ``` -- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 540K / month Β· πŸ“¦ 77 Β· ⏱️ 15.05.2024): +- [PyPi](https://pypi.org/project/neptune-client) (πŸ“₯ 530K / month Β· πŸ“¦ 77 Β· ⏱️ 15.05.2024): ``` pip install neptune-client ``` @@ -5708,7 +5708,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 220K / month Β· πŸ“¦ 46 Β· ⏱️ 05.06.2023): +- [PyPi](https://pypi.org/project/visualdl) (πŸ“₯ 210K / month Β· πŸ“¦ 46 Β· ⏱️ 05.06.2023): ``` pip install visualdl ``` @@ -5720,30 +5720,30 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 29K / month Β· πŸ“¦ 58 Β· ⏱️ 13.11.2023): +- [PyPi](https://pypi.org/project/sacred) (πŸ“₯ 30K / month Β· πŸ“¦ 58 Β· ⏱️ 13.11.2023): ``` pip install sacred ``` -- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 5.2K Β· ⏱️ 28.11.2023): +- [Conda](https://anaconda.org/conda-forge/sacred) (πŸ“₯ 5.3K Β· ⏱️ 28.11.2023): ``` conda install -c conda-forge sacred ```
Labml (πŸ₯‰28 Β· ⭐ 1.9K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 150 Β· πŸ“‹ 38 - 42% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/labmlai/labml) (πŸ‘¨β€πŸ’» 9 Β· πŸ”€ 130 Β· πŸ“¦ 150 Β· πŸ“‹ 38 - 42% open Β· ⏱️ 19.05.2024): ``` git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 4.8K / month Β· πŸ“¦ 6 Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/labml) (πŸ“₯ 3.8K / month Β· πŸ“¦ 6 Β· ⏱️ 21.03.2024): ``` pip install labml ```
quinn (πŸ₯‰27 Β· ⭐ 580) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 90 Β· πŸ“₯ 23 Β· πŸ“¦ 77 Β· πŸ“‹ 120 - 31% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/MrPowers/quinn) (πŸ‘¨β€πŸ’» 28 Β· πŸ”€ 91 Β· πŸ“₯ 23 Β· πŸ“¦ 77 Β· πŸ“‹ 120 - 31% open Β· ⏱️ 07.05.2024): ``` git clone https://github.com/MrPowers/quinn @@ -5755,12 +5755,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
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’» 130 Β· πŸ”€ 260 Β· πŸ“‹ 120 - 47% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/pytorch/tnt) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 260 Β· πŸ“‹ 140 - 53% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/pytorch/tnt ``` -- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 6.9K / month Β· πŸ“¦ 38 Β· ⏱️ 29.07.2018): +- [PyPi](https://pypi.org/project/torchnet) (πŸ“₯ 7.2K / month Β· πŸ“¦ 24 Β· ⏱️ 29.07.2018): ``` pip install torchnet ``` @@ -5772,11 +5772,23 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 81K / month Β· πŸ“¦ 31 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/ml-metadata) (πŸ“₯ 85K / month Β· πŸ“¦ 31 Β· ⏱️ 23.04.2024): ``` pip install ml-metadata ```
+
gokart (πŸ₯‰25 Β· ⭐ 300) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT + +- [GitHub](https://github.com/m3dev/gokart) (πŸ‘¨β€πŸ’» 41 Β· πŸ”€ 56 Β· πŸ“¦ 77 Β· πŸ“‹ 80 - 25% open Β· ⏱️ 21.05.2024): + + ``` + git clone https://github.com/m3dev/gokart + ``` +- [PyPi](https://pypi.org/project/gokart) (πŸ“₯ 2.9K / month Β· πŸ“¦ 8 Β· ⏱️ 21.05.2024): + ``` + pip install gokart + ``` +
Guild AI (πŸ₯‰23 Β· ⭐ 860 Β· πŸ’€) - Experiment tracking, ML developer tools. Apache-2 - [GitHub](https://github.com/guildai/guildai) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 84 Β· πŸ“₯ 16 Β· πŸ“¦ 96 Β· πŸ“‹ 440 - 50% open Β· ⏱️ 12.08.2023): @@ -5784,19 +5796,19 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.6K / month Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/guildai) (πŸ“₯ 1.2K / month Β· ⏱️ 11.05.2022): ``` pip install guildai ```
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Studio.ml (πŸ₯‰22 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 +
Studio.ml (πŸ₯‰21 Β· ⭐ 380 Β· πŸ’€) - Studio: Simplify and expedite model building process. Apache-2 - [GitHub](https://github.com/studioml/studio) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 52 Β· πŸ“¦ 5 Β· πŸ“‹ 250 - 22% open Β· ⏱️ 06.09.2023): ``` git clone https://github.com/studioml/studio ``` -- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 1.3K / month Β· ⏱️ 14.09.2021): +- [PyPi](https://pypi.org/project/studioml) (πŸ“₯ 900 / month Β· ⏱️ 14.09.2021): ``` pip install studioml ``` @@ -5808,7 +5820,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/microsoft/tensorwatch ``` -- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 940 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): +- [PyPi](https://pypi.org/project/tensorwatch) (πŸ“₯ 860 / month Β· πŸ“¦ 7 Β· ⏱️ 04.03.2020): ``` pip install tensorwatch ``` @@ -5820,7 +5832,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/comet-ml/examples ``` -- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 560K / month Β· πŸ“¦ 68 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/comet_ml) (πŸ“₯ 660K / month Β· πŸ“¦ 68 Β· ⏱️ 22.05.2024): ``` pip install comet_ml ``` @@ -5836,27 +5848,26 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/google/caliban ``` -- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 130 / month Β· ⏱️ 12.09.2020): +- [PyPi](https://pypi.org/project/caliban) (πŸ“₯ 100 / month Β· ⏱️ 12.09.2020): ``` pip install caliban ```
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Show 15 hidden projects... +
Show 14 hidden projects... - Catalyst (πŸ₯ˆ29 Β· ⭐ 3.2K Β· πŸ’€) - Accelerated deep learning R&D. Apache-2 - knockknock (πŸ₯‰26 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 -- SKLL (πŸ₯‰25 Β· ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause -- gokart (πŸ₯‰25 Β· ⭐ 300) - Gokart solves reproducibility, task dependencies, constraints of good code,.. MIT +- SKLL (πŸ₯‰24 Β· ⭐ 550) - SciKit-Learn Laboratory (SKLL) makes it easy to run machine.. ❗️BSD-1-Clause - hiddenlayer (πŸ₯‰22 Β· ⭐ 1.8K Β· πŸ’€) - Neural network graphs and training metrics for.. MIT - lore (πŸ₯‰21 Β· ⭐ 1.6K Β· πŸ’€) - Lore makes machine learning approachable for Software Engineers and.. MIT - TensorBoard Logger (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - Log TensorBoard events without touching TensorFlow. MIT - keepsake (πŸ₯‰18 Β· ⭐ 1.6K Β· πŸ’€) - Version control for machine learning. Apache-2 -- datmo (πŸ₯‰18 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT +- datmo (πŸ₯‰17 Β· ⭐ 340 Β· πŸ’€) - Open source production model management tool for data scientists. MIT - chitra (πŸ₯‰17 Β· ⭐ 220) - A multi-functional library for full-stack Deep Learning. Simplifies.. Apache-2 - MXBoard (πŸ₯‰16 Β· ⭐ 320 Β· πŸ’€) - Logging MXNet data for visualization in TensorBoard. Apache-2 - steppy (πŸ₯‰16 Β· ⭐ 130 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 +- ModelChimp (πŸ₯‰12 Β· ⭐ 130 Β· πŸ’€) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (πŸ₯‰9 Β· ⭐ 12 Β· πŸ’€) - Train off-the-shelf machine learning models in one.. Apache-2

@@ -5869,23 +5880,23 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (πŸ₯‡43 Β· ⭐ 17K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.6K Β· πŸ“₯ 21K Β· πŸ“¦ 28K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/onnx/onnx) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 3.6K Β· πŸ“₯ 21K Β· πŸ“¦ 28K Β· πŸ“‹ 2.7K - 11% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.6M / month Β· πŸ“¦ 920 Β· ⏱️ 25.03.2024): +- [PyPi](https://pypi.org/project/onnx) (πŸ“₯ 5.7M / month Β· πŸ“¦ 920 Β· ⏱️ 25.03.2024): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 990K Β· ⏱️ 26.03.2024): +- [Conda](https://anaconda.org/conda-forge/onnx) (πŸ“₯ 1M Β· ⏱️ 17.05.2024): ``` conda install -c conda-forge onnx ```
triton (πŸ₯‡43 Β· ⭐ 11K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.3K Β· πŸ“¦ 26K Β· πŸ“‹ 1.2K - 44% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/triton-lang/triton) (πŸ‘¨β€πŸ’» 260 Β· πŸ”€ 1.3K Β· πŸ“¦ 26K Β· πŸ“‹ 1.2K - 44% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/openai/triton @@ -5897,92 +5908,92 @@ _Libraries to serialize models to files, convert between a variety of model form
huggingface_hub (πŸ₯ˆ38 Β· ⭐ 1.7K) - The official Python client for the Huggingface Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 430 Β· πŸ“‹ 820 - 17% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/huggingface/huggingface_hub) (πŸ‘¨β€πŸ’» 160 Β· πŸ”€ 440 Β· πŸ“‹ 830 - 18% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 35M / month Β· πŸ“¦ 1.2K Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/huggingface_hub) (πŸ“₯ 35M / month Β· πŸ“¦ 1.2K Β· ⏱️ 21.05.2024): ``` pip install huggingface_hub ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.7M Β· ⏱️ 03.05.2024): +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (πŸ“₯ 1.8M Β· ⏱️ 03.05.2024): ``` conda install -c conda-forge huggingface_hub ```
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BentoML (πŸ₯ˆ35 Β· ⭐ 6.6K) - The most flexible way to serve AI/ML models in production - Build.. Apache-2 +
BentoML (πŸ₯ˆ35 Β· ⭐ 6.6K) - The easiest way to serve AI/ML models in production - Build Model.. Apache-2 -- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 740 Β· πŸ“₯ 1.6K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1K - 21% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/bentoml/BentoML) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 740 Β· πŸ“₯ 1.6K Β· πŸ“¦ 1.8K Β· πŸ“‹ 1.1K - 22% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 97K / month Β· πŸ“¦ 23 Β· ⏱️ 16.05.2024): +- [PyPi](https://pypi.org/project/bentoml) (πŸ“₯ 100K / month Β· πŸ“¦ 23 Β· ⏱️ 16.05.2024): ``` pip install bentoml ```
TorchServe (πŸ₯ˆ35 Β· ⭐ 4K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 810 Β· πŸ“₯ 5.7K Β· πŸ“¦ 650 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/pytorch/serve) (πŸ‘¨β€πŸ’» 200 Β· πŸ”€ 810 Β· πŸ“₯ 5.7K Β· πŸ“¦ 650 Β· πŸ“‹ 1.6K - 22% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 48K / month Β· πŸ“¦ 21 Β· ⏱️ 14.03.2024): +- [PyPi](https://pypi.org/project/torchserve) (πŸ“₯ 51K / month Β· πŸ“¦ 21 Β· ⏱️ 16.05.2024): ``` pip install torchserve ``` -- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 180K Β· ⏱️ 14.03.2024): +- [Conda](https://anaconda.org/pytorch/torchserve) (πŸ“₯ 180K Β· ⏱️ 16.05.2024): ``` conda install -c pytorch torchserve ``` -- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.2M Β· ⭐ 25 Β· ⏱️ 14.03.2024): +- [Docker Hub](https://hub.docker.com/r/pytorch/torchserve) (πŸ“₯ 1.3M Β· ⭐ 25 Β· ⏱️ 16.05.2024): ``` docker pull pytorch/torchserve ```
Core ML Tools (πŸ₯ˆ34 Β· ⭐ 4.1K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 600 Β· πŸ“₯ 9.6K Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/apple/coremltools) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 600 Β· πŸ“₯ 9.6K Β· πŸ“¦ 3.8K Β· πŸ“‹ 1.4K - 22% open Β· ⏱️ 17.05.2024): ``` git clone https://github.com/apple/coremltools ``` -- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 290K / month Β· πŸ“¦ 71 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/coremltools) (πŸ“₯ 320K / month Β· πŸ“¦ 71 Β· ⏱️ 23.04.2024): ``` pip install coremltools ``` -- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 56K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/coremltools) (πŸ“₯ 57K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge coremltools ```
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hls4ml (πŸ₯ˆ27 Β· ⭐ 1.1K) - Machine learning on FPGAs using HLS. Apache-2 +
hls4ml (πŸ₯ˆ26 Β· ⭐ 1.1K) - Machine learning on FPGAs using HLS. Apache-2 - [GitHub](https://github.com/fastmachinelearning/hls4ml) (πŸ‘¨β€πŸ’» 60 Β· πŸ”€ 360 Β· πŸ“‹ 410 - 38% open Β· ⏱️ 03.05.2024): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 1K / month Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/hls4ml) (πŸ“₯ 870 / month Β· ⏱️ 19.12.2023): ``` pip install hls4ml ``` -- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 7.5K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/hls4ml) (πŸ“₯ 7.6K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge hls4ml ```
Hummingbird (πŸ₯ˆ25 Β· ⭐ 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 500 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 08.03.2024): +- [GitHub](https://github.com/microsoft/hummingbird) (πŸ‘¨β€πŸ’» 40 Β· πŸ”€ 270 Β· πŸ“₯ 500 Β· πŸ“‹ 320 - 18% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 5.6K / month Β· πŸ“¦ 4 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/hummingbird-ml) (πŸ“₯ 5.3K / month Β· πŸ“¦ 4 Β· ⏱️ 08.03.2024): ``` pip install hummingbird-ml ``` @@ -5998,7 +6009,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 720 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): +- [PyPi](https://pypi.org/project/nebullvm) (πŸ“₯ 710 / month Β· πŸ“¦ 2 Β· ⏱️ 18.06.2023): ``` pip install nebullvm ``` @@ -6010,7 +6021,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/riga/tfdeploy ``` -- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 110 / month Β· ⏱️ 30.03.2017): +- [PyPi](https://pypi.org/project/tfdeploy) (πŸ“₯ 74 / month Β· ⏱️ 30.03.2017): ``` pip install tfdeploy ``` @@ -6021,10 +6032,10 @@ _Libraries to serialize models to files, convert between a variety of model form - m2cgen (πŸ₯ˆ25 Β· ⭐ 2.7K Β· πŸ’€) - Transform ML models into a native code (Java, C, Python, Go,.. MIT - cortex (πŸ₯‰23 Β· ⭐ 8K Β· πŸ’€) - Production infrastructure for machine learning at scale. Apache-2 - sklearn-porter (πŸ₯‰23 Β· ⭐ 1.3K Β· πŸ’€) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 +- OMLT (πŸ₯‰20 Β· ⭐ 250) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - pytorch2keras (πŸ₯‰19 Β· ⭐ 850 Β· πŸ’€) - PyTorch to Keras model convertor. MIT -- OMLT (πŸ₯‰19 Β· ⭐ 250) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 -- Larq Compute Engine (πŸ₯‰19 Β· ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2 - modelkit (πŸ₯‰19 Β· ⭐ 150) - Toolkit for developing and maintaining ML models. MIT +- Larq Compute Engine (πŸ₯‰18 Β· ⭐ 240) - Highly optimized inference engine for Binarized.. Apache-2 - backprop (πŸ₯‰14 Β· ⭐ 240 Β· πŸ’€) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 - ml-ane-transformers (πŸ₯‰13 Β· ⭐ 2.5K Β· πŸ’€) - Reference implementation of the Transformer.. ❗Unlicensed
@@ -6038,12 +6049,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (πŸ₯‡43 Β· ⭐ 22K) - A game theoretic approach to explain the output of any machine learning model. MIT -- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.2K Β· πŸ“¦ 17K Β· πŸ“‹ 2.5K - 33% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/shap/shap) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 3.2K Β· πŸ“¦ 18K Β· πŸ“‹ 2.5K - 33% open Β· ⏱️ 14.05.2024): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 6.9M / month Β· πŸ“¦ 670 Β· ⏱️ 07.05.2024): +- [PyPi](https://pypi.org/project/shap) (πŸ“₯ 6.9M / month Β· πŸ“¦ 680 Β· ⏱️ 07.05.2024): ``` pip install shap ``` @@ -6059,7 +6070,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/arviz-devs/arviz ``` -- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 2.1M / month Β· πŸ“¦ 280 Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/arviz) (πŸ“₯ 2.2M / month Β· πŸ“¦ 280 Β· ⏱️ 05.04.2024): ``` pip install arviz ``` @@ -6070,24 +6081,24 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (πŸ₯‡34 Β· ⭐ 26K) - Visualizer for neural network, deep learning and machine learning.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.7K Β· πŸ“₯ 110K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/lutzroeder/netron) (πŸ‘¨β€πŸ’» 2 Β· πŸ”€ 2.7K Β· πŸ“₯ 110K Β· πŸ“¦ 12 Β· πŸ“‹ 1.1K - 2% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 22K / month Β· πŸ“¦ 78 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/netron) (πŸ“₯ 21K / month Β· πŸ“¦ 78 Β· ⏱️ 18.05.2024): ``` pip install netron ```
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InterpretML (πŸ₯‡33 Β· ⭐ 6K) - Fit interpretable models. Explain blackbox machine learning. MIT +
InterpretML (πŸ₯‡33 Β· ⭐ 6.1K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 710 Β· πŸ“¦ 670 Β· πŸ“‹ 430 - 23% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/interpretml/interpret) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 720 Β· πŸ“¦ 680 Β· πŸ“‹ 430 - 23% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 82K / month Β· πŸ“¦ 43 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/interpret) (πŸ“₯ 80K / month Β· πŸ“¦ 45 Β· ⏱️ 14.04.2024): ``` pip install interpret ``` @@ -6115,7 +6126,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 80K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): +- [PyPi](https://pypi.org/project/explainerdashboard) (πŸ“₯ 79K / month Β· πŸ“¦ 10 Β· ⏱️ 18.03.2024): ``` pip install explainerdashboard ``` @@ -6126,19 +6137,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
evaluate (πŸ₯ˆ32 Β· ⭐ 1.8K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 -- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 220 Β· πŸ“¦ 9.1K Β· πŸ“‹ 310 - 57% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/huggingface/evaluate) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 220 Β· πŸ“¦ 9.3K Β· πŸ“‹ 310 - 57% open Β· ⏱️ 30.04.2024): ``` git clone https://github.com/huggingface/evaluate ``` -- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 2.9M / month Β· πŸ“¦ 340 Β· ⏱️ 30.04.2024): +- [PyPi](https://pypi.org/project/evaluate) (πŸ“₯ 3M / month Β· πŸ“¦ 340 Β· ⏱️ 30.04.2024): ``` pip install evaluate ```
DoWhy (πŸ₯ˆ30 Β· ⭐ 6.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 87 Β· πŸ”€ 900 Β· πŸ“₯ 35 Β· πŸ“¦ 360 Β· πŸ“‹ 450 - 28% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/py-why/dowhy) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 900 Β· πŸ“₯ 35 Β· πŸ“¦ 370 Β· πŸ“‹ 450 - 28% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/py-why/dowhy @@ -6147,7 +6158,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install dowhy ``` -- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 20K Β· ⏱️ 26.01.2024): +- [Conda](https://anaconda.org/conda-forge/dowhy) (πŸ“₯ 21K Β· ⏱️ 26.01.2024): ``` conda install -c conda-forge dowhy ``` @@ -6159,51 +6170,35 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.3K / month Β· πŸ“¦ 4 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/shapash) (πŸ“₯ 7.1K / month Β· πŸ“¦ 4 Β· ⏱️ 06.05.2024): ``` pip install shapash ```
pyLDAvis (πŸ₯ˆ30 Β· ⭐ 1.8K) - Python library for interactive topic model visualization. Port of.. BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 360 Β· πŸ“¦ 6K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/bmabey/pyLDAvis) (πŸ‘¨β€πŸ’» 43 Β· πŸ”€ 360 Β· πŸ“¦ 6.1K Β· πŸ“‹ 190 - 40% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 160K / month Β· πŸ“¦ 98 Β· ⏱️ 23.04.2023): +- [PyPi](https://pypi.org/project/pyldavis) (πŸ“₯ 150K / month Β· πŸ“¦ 98 Β· ⏱️ 23.04.2023): ``` pip install pyldavis ``` -- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 80K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/pyldavis) (πŸ“₯ 81K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge pyldavis ```
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Fairness 360 (πŸ₯ˆ29 Β· ⭐ 2.3K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 - -- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 810 Β· πŸ“¦ 410 Β· πŸ“‹ 290 - 64% open Β· ⏱️ 08.04.2024): - - ``` - git clone https://github.com/Trusted-AI/AIF360 - ``` -- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 46K / month Β· πŸ“¦ 26 Β· ⏱️ 08.04.2024): - ``` - pip install aif360 - ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 10K Β· ⏱️ 09.04.2024): - ``` - conda install -c conda-forge aif360 - ``` -
fairlearn (πŸ₯ˆ29 Β· ⭐ 1.8K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 81 Β· πŸ”€ 390 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 36% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/fairlearn/fairlearn) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 390 Β· πŸ“¦ 3 Β· πŸ“‹ 460 - 36% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 280K / month Β· πŸ“¦ 50 Β· ⏱️ 19.12.2023): +- [PyPi](https://pypi.org/project/fairlearn) (πŸ“₯ 270K / month Β· πŸ“¦ 50 Β· ⏱️ 19.12.2023): ``` pip install fairlearn ``` @@ -6219,63 +6214,63 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 78K / month Β· πŸ“¦ 23 Β· ⏱️ 25.04.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (πŸ“₯ 79K / month Β· πŸ“¦ 23 Β· ⏱️ 25.04.2024): ``` pip install tensorflow-model-analysis ```
responsible-ai-widgets (πŸ₯ˆ29 Β· ⭐ 1.2K) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 320 Β· πŸ“¦ 98 Β· πŸ“‹ 310 - 27% open Β· ⏱️ 03.05.2024): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (πŸ‘¨β€πŸ’» 42 Β· πŸ”€ 320 Β· πŸ“¦ 99 Β· πŸ“‹ 320 - 27% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 4.3K / month Β· πŸ“¦ 6 Β· ⏱️ 18.04.2024): +- [PyPi](https://pypi.org/project/raiwidgets) (πŸ“₯ 6K / month Β· πŸ“¦ 6 Β· ⏱️ 20.05.2024): ``` pip install raiwidgets ```
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LIT (πŸ₯ˆ28 Β· ⭐ 3.4K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 +
dtreeviz (πŸ₯ˆ28 Β· ⭐ 2.9K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“¦ 32 Β· πŸ“‹ 180 - 53% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 1.2K Β· πŸ“‹ 200 - 32% open Β· ⏱️ 06.01.2024): ``` - git clone https://github.com/PAIR-code/lit + git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4.6K / month Β· πŸ“¦ 3 Β· ⏱️ 09.04.2024): +- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 130K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): ``` - pip install lit-nlp + pip install dtreeviz ``` -- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 71K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 70K Β· ⏱️ 13.07.2023): ``` - conda install -c conda-forge lit-nlp + conda install -c conda-forge dtreeviz ```
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dtreeviz (πŸ₯ˆ28 Β· ⭐ 2.9K) - A python library for decision tree visualization and model interpretation. MIT +
Fairness 360 (πŸ₯ˆ28 Β· ⭐ 2.3K) - A comprehensive set of fairness metrics for datasets and.. Apache-2 -- [GitHub](https://github.com/parrt/dtreeviz) (πŸ‘¨β€πŸ’» 26 Β· πŸ”€ 330 Β· πŸ“¦ 1.2K Β· πŸ“‹ 200 - 32% open Β· ⏱️ 06.01.2024): +- [GitHub](https://github.com/Trusted-AI/AIF360) (πŸ‘¨β€πŸ’» 73 Β· πŸ”€ 810 Β· πŸ“¦ 410 Β· πŸ“‹ 290 - 64% open Β· ⏱️ 08.04.2024): ``` - git clone https://github.com/parrt/dtreeviz + git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/dtreeviz) (πŸ“₯ 130K / month Β· πŸ“¦ 24 Β· ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/aif360) (πŸ“₯ 49K / month Β· πŸ“¦ 26 Β· ⏱️ 08.04.2024): ``` - pip install dtreeviz + pip install aif360 ``` -- [Conda](https://anaconda.org/conda-forge/dtreeviz) (πŸ“₯ 69K Β· ⏱️ 13.07.2023): +- [Conda](https://anaconda.org/conda-forge/aif360) (πŸ“₯ 10K Β· ⏱️ 09.04.2024): ``` - conda install -c conda-forge dtreeviz + conda install -c conda-forge aif360 ```
imodels (πŸ₯ˆ28 Β· ⭐ 1.3K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 110 Β· πŸ“¦ 72 Β· πŸ“‹ 85 - 37% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/csinva/imodels) (πŸ‘¨β€πŸ’» 23 Β· πŸ”€ 120 Β· πŸ“¦ 72 Β· πŸ“‹ 85 - 37% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 70K / month Β· πŸ“¦ 7 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/imodels) (πŸ“₯ 72K / month Β· πŸ“¦ 9 Β· ⏱️ 22.05.2024): ``` pip install imodels ``` @@ -6287,7 +6282,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 570K / month Β· πŸ“¦ 91 Β· ⏱️ 21.08.2022): +- [PyPi](https://pypi.org/project/yellowbrick) (πŸ“₯ 550K / month Β· πŸ“¦ 93 Β· ⏱️ 21.08.2022): ``` pip install yellowbrick ``` @@ -6296,14 +6291,30 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge yellowbrick ```
+
LIT (πŸ₯ˆ27 Β· ⭐ 3.4K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2 + +- [GitHub](https://github.com/PAIR-code/lit) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 340 Β· πŸ“¦ 32 Β· πŸ“‹ 180 - 53% open Β· ⏱️ 17.04.2024): + + ``` + git clone https://github.com/PAIR-code/lit + ``` +- [PyPi](https://pypi.org/project/lit-nlp) (πŸ“₯ 4.2K / month Β· πŸ“¦ 3 Β· ⏱️ 09.04.2024): + ``` + pip install lit-nlp + ``` +- [Conda](https://anaconda.org/conda-forge/lit-nlp) (πŸ“₯ 72K Β· ⏱️ 16.06.2023): + ``` + conda install -c conda-forge lit-nlp + ``` +
aequitas (πŸ₯‰26 Β· ⭐ 640) - Bias Auditing & Fair ML Toolkit. MIT -- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 110 Β· πŸ“¦ 150 Β· πŸ“‹ 100 - 54% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/dssg/aequitas) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 110 Β· πŸ“¦ 160 Β· πŸ“‹ 100 - 54% open Β· ⏱️ 13.05.2024): ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 34K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/aequitas) (πŸ“₯ 37K / month Β· πŸ“¦ 7 Β· ⏱️ 30.01.2024): ``` pip install aequitas ``` @@ -6315,7 +6326,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 2.6K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): +- [PyPi](https://pypi.org/project/causalnex) (πŸ“₯ 2.4K / month Β· πŸ“¦ 4 Β· ⏱️ 22.06.2023): ``` pip install causalnex ``` @@ -6327,7 +6338,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 1.4K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (πŸ“₯ 1.3K / month Β· πŸ“¦ 8 Β· ⏱️ 24.05.2021): ``` pip install checklist ``` @@ -6343,7 +6354,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 850 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): +- [PyPi](https://pypi.org/project/innvestigate) (πŸ“₯ 860 / month Β· πŸ“¦ 2 Β· ⏱️ 12.10.2023): ``` pip install innvestigate ``` @@ -6355,7 +6366,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIX360 ``` -- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 870 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): +- [PyPi](https://pypi.org/project/aix360) (πŸ“₯ 630 / month Β· πŸ“¦ 1 Β· ⏱️ 31.07.2023): ``` pip install aix360 ``` @@ -6367,7 +6378,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.4K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/keract) (πŸ“₯ 4.5K / month Β· πŸ“¦ 9 Β· ⏱️ 25.09.2022): ``` pip install keract ``` @@ -6379,7 +6390,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/what-if-tool ``` -- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 5.3K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): +- [PyPi](https://pypi.org/project/witwidget) (πŸ“₯ 4.2K / month Β· πŸ“¦ 6 Β· ⏱️ 12.10.2021): ``` pip install witwidget ``` @@ -6387,7 +6398,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` conda install -c conda-forge tensorboard-plugin-wit ``` -- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): +- [npm](https://www.npmjs.com/package/wit-widget) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 12.10.2021): ``` npm install wit-widget ``` @@ -6399,7 +6410,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/jalammar/ecco ``` -- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 410 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): +- [PyPi](https://pypi.org/project/ecco) (πŸ“₯ 330 / month Β· πŸ“¦ 1 Β· ⏱️ 09.01.2022): ``` pip install ecco ``` @@ -6415,7 +6426,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/interpretml/DiCE ``` -- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 54K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): +- [PyPi](https://pypi.org/project/dice-ml) (πŸ“₯ 56K / month Β· πŸ“¦ 6 Β· ⏱️ 27.10.2023): ``` pip install dice-ml ``` @@ -6427,7 +6438,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.6K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (πŸ“₯ 1.4K / month Β· πŸ“¦ 1 Β· ⏱️ 28.04.2022): ``` pip install model-card-toolkit ``` @@ -6439,7 +6450,7 @@ _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“₯ 1.4K / month Β· ⏱️ 26.04.2024): +- [PyPi](https://pypi.org/project/fairness-indicators) (πŸ“₯ 1.2K / month Β· ⏱️ 26.04.2024): ``` pip install fairness-indicators ``` @@ -6451,7 +6462,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/aerdem4/lofo-importance ``` -- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 4K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): +- [PyPi](https://pypi.org/project/lofo-importance) (πŸ“₯ 4.1K / month Β· πŸ“¦ 4 Β· ⏱️ 16.01.2024): ``` pip install lofo-importance ``` @@ -6475,7 +6486,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/MisaOgura/flashtorch ``` -- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 380 / month Β· ⏱️ 29.05.2020): +- [PyPi](https://pypi.org/project/flashtorch) (πŸ“₯ 300 / month Β· ⏱️ 29.05.2020): ``` pip install flashtorch ``` @@ -6487,7 +6498,7 @@ _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“₯ 120 / month Β· ⏱️ 07.12.2021): +- [PyPi](https://pypi.org/project/interpret-text) (πŸ“₯ 100 / month Β· ⏱️ 07.12.2021): ``` pip install interpret-text ``` @@ -6495,10 +6506,10 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Show 21 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· ⭐ 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 - scikit-plot (πŸ₯ˆ29 Β· ⭐ 2.4K Β· πŸ’€) - An intuitive library to add plotting functionality to.. MIT - Alibi (πŸ₯ˆ29 Β· ⭐ 2.3K) - Algorithms for explaining machine learning models. ❗️Intel -- Deep Checks (πŸ₯ˆ28 Β· ⭐ 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. ❗️AGPL-3.0 -- DALEX (πŸ₯ˆ27 Β· ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 +- DALEX (πŸ₯ˆ28 Β· ⭐ 1.3K) - moDel Agnostic Language for Exploration and eXplanation. ❗️GPL-3.0 - eli5 (πŸ₯‰26 Β· ⭐ 2.7K Β· πŸ’€) - A library for debugging/inspecting machine learning classifiers and.. MIT - keras-vis (πŸ₯‰25 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 @@ -6510,10 +6521,10 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - tcav (πŸ₯‰20 Β· ⭐ 620 Β· πŸ’€) - Code for the TCAV ML interpretability project. Apache-2 - XAI (πŸ₯‰18 Β· ⭐ 1.1K Β· πŸ’€) - XAI - An eXplainability toolbox for machine learning. MIT - sklearn-evaluation (πŸ₯‰18 Β· ⭐ 430 Β· πŸ’€) - Machine learning model evaluation made easy: plots,.. MIT -- Anchor (πŸ₯‰16 Β· ⭐ 780 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 +- Anchor (πŸ₯‰16 Β· ⭐ 790 Β· πŸ’€) - Code for High-Precision Model-Agnostic Explanations paper. BSD-2 - Skater (πŸ₯‰14 Β· ⭐ 1.1K Β· πŸ’€) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- contextual-ai (πŸ₯‰13 Β· ⭐ 85 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 - Attribution Priors (πŸ₯‰12 Β· ⭐ 120 Β· πŸ’€) - Tools for training explainable models using.. MIT +- contextual-ai (πŸ₯‰12 Β· ⭐ 85 Β· πŸ’€) - Contextual AI adds explainability to different stages of.. Apache-2 - bias-detector (πŸ₯‰12 Β· ⭐ 42) - Bias Detector is a python package for detecting bias in machine.. MIT

@@ -6524,32 +6535,32 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarity Search._ -πŸ”— ANN Benchmarks ( ⭐ 4.6K) - Benchmarks of approximate nearest neighbor libraries in Python. +πŸ”— ANN Benchmarks ( ⭐ 4.7K) - Benchmarks of approximate nearest neighbor libraries in Python.
Milvus (πŸ₯‡41 Β· ⭐ 27K) - A cloud-native vector database, storage for next generation AI.. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.6K Β· πŸ“₯ 220K Β· πŸ“‹ 11K - 6% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/milvus-io/milvus) (πŸ‘¨β€πŸ’» 270 Β· πŸ”€ 2.6K Β· πŸ“₯ 220K Β· πŸ“‹ 11K - 6% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/milvus-io/milvus ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 500K / month Β· πŸ“¦ 120 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 500K / month Β· πŸ“¦ 120 Β· ⏱️ 17.05.2024): ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 15M Β· ⭐ 43 Β· ⏱️ 16.05.2024): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (πŸ“₯ 15M Β· ⭐ 44 Β· ⏱️ 23.05.2024): ``` docker pull milvusdb/milvus ```
-
Faiss (πŸ₯‡39 Β· ⭐ 28K) - A library for efficient similarity search and clustering of dense vectors. MIT +
Faiss (πŸ₯‡40 Β· ⭐ 29K Β· πŸ“ˆ) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.6K Β· πŸ“‹ 2.4K - 18% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/facebookresearch/faiss) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 3.4K Β· πŸ“¦ 3.7K Β· πŸ“‹ 2.4K - 18% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/facebookresearch/faiss ``` -- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 500K / month Β· πŸ“¦ 120 Β· ⏱️ 14.05.2024): +- [PyPi](https://pypi.org/project/pymilvus) (πŸ“₯ 500K / month Β· πŸ“¦ 120 Β· ⏱️ 17.05.2024): ``` pip install pymilvus ``` @@ -6565,7 +6576,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/spotify/annoy ``` -- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 1.3M / month Β· πŸ“¦ 180 Β· ⏱️ 14.06.2023): +- [PyPi](https://pypi.org/project/annoy) (πŸ“₯ 1.2M / month Β· πŸ“¦ 190 Β· ⏱️ 14.06.2023): ``` pip install annoy ``` @@ -6574,14 +6585,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge python-annoy ```
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hnswlib (πŸ₯ˆ33 Β· ⭐ 4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 +
hnswlib (πŸ₯ˆ33 Β· ⭐ 4.1K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 - [GitHub](https://github.com/nmslib/hnswlib) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 590 Β· πŸ“¦ 6.5K Β· πŸ“‹ 370 - 57% open Β· ⏱️ 03.12.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 910K / month Β· πŸ“¦ 120 Β· ⏱️ 03.12.2023): +- [PyPi](https://pypi.org/project/hnswlib) (πŸ“₯ 920K / month Β· πŸ“¦ 120 Β· ⏱️ 03.12.2023): ``` pip install hnswlib ``` @@ -6590,18 +6601,18 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge hnswlib ```
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USearch (πŸ₯‰30 Β· ⭐ 1.7K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 +
USearch (πŸ₯‰30 Β· ⭐ 1.8K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2 -- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 90 Β· πŸ“₯ 1.3K Β· πŸ“¦ 69 Β· πŸ“‹ 110 - 31% open Β· ⏱️ 29.04.2024): +- [GitHub](https://github.com/unum-cloud/usearch) (πŸ‘¨β€πŸ’» 36 Β· πŸ”€ 93 Β· πŸ“₯ 1.3K Β· πŸ“¦ 74 Β· πŸ“‹ 110 - 30% open Β· ⏱️ 29.04.2024): ``` git clone https://github.com/unum-cloud/usearch ``` -- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 63K / month Β· πŸ“¦ 6 Β· ⏱️ 29.04.2024): +- [PyPi](https://pypi.org/project/usearch) (πŸ“₯ 60K / month Β· πŸ“¦ 6 Β· ⏱️ 29.04.2024): ``` pip install usearch ``` -- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 5.9K / month Β· πŸ“¦ 14 Β· ⏱️ 10.04.2024): +- [npm](https://www.npmjs.com/package/usearch) (πŸ“₯ 6.3K / month Β· πŸ“¦ 14 Β· ⏱️ 10.04.2024): ``` npm install usearch ``` @@ -6610,14 +6621,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit docker pull unum/usearch ```
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PyNNDescent (πŸ₯‰29 Β· ⭐ 840) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 +
PyNNDescent (πŸ₯‰29 Β· ⭐ 850) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 100 Β· πŸ“¦ 6.4K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/lmcinnes/pynndescent) (πŸ‘¨β€πŸ’» 29 Β· πŸ”€ 100 Β· πŸ“¦ 6.5K Β· πŸ“‹ 140 - 52% open Β· ⏱️ 15.05.2024): ``` git clone https://github.com/lmcinnes/pynndescent ``` -- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.3M / month Β· πŸ“¦ 140 Β· ⏱️ 29.03.2024): +- [PyPi](https://pypi.org/project/pynndescent) (πŸ“₯ 1.4M / month Β· πŸ“¦ 140 Β· ⏱️ 29.03.2024): ``` pip install pynndescent ``` @@ -6633,7 +6644,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/yahoojapan/NGT ``` -- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 6.2K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): +- [PyPi](https://pypi.org/project/ngt) (πŸ“₯ 5.6K / month Β· πŸ“¦ 8 Β· ⏱️ 06.12.2023): ``` pip install ngt ``` @@ -6645,7 +6656,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/kakao/n2 ``` -- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 310 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): +- [PyPi](https://pypi.org/project/n2) (πŸ“₯ 280 / month Β· πŸ“¦ 4 Β· ⏱️ 16.10.2020): ``` pip install n2 ``` @@ -6665,14 +6676,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit _Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._ -
PyMC3 (πŸ₯‡41 Β· ⭐ 8.2K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 +
PyMC3 (πŸ₯‡40 Β· ⭐ 8.2K Β· πŸ“‰) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“¦ 3.3K Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/pymc-devs/pymc) (πŸ‘¨β€πŸ’» 490 Β· πŸ”€ 1.9K Β· πŸ“₯ 1.9K Β· πŸ“‹ 3.3K - 8% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 850K / month Β· πŸ“¦ 190 Β· ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (πŸ“₯ 860K / month Β· πŸ“¦ 190 Β· ⏱️ 15.03.2022): ``` pip install pymc3 ``` @@ -6688,7 +6699,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 3.9M / month Β· πŸ“¦ 560 Β· ⏱️ 12.03.2024): +- [PyPi](https://pypi.org/project/tensorflow-probability) (πŸ“₯ 4M / month Β· πŸ“¦ 560 Β· ⏱️ 12.03.2024): ``` pip install tensorflow-probability ``` @@ -6704,7 +6715,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 270K / month Β· πŸ“¦ 170 Β· ⏱️ 19.02.2024): +- [PyPi](https://pypi.org/project/pyro-ppl) (πŸ“₯ 280K / month Β· πŸ“¦ 170 Β· ⏱️ 19.02.2024): ``` pip install pyro-ppl ``` @@ -6715,12 +6726,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pgmpy (πŸ₯ˆ32 Β· ⭐ 2.6K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 690 Β· πŸ“₯ 340 Β· πŸ“¦ 960 Β· πŸ“‹ 900 - 30% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/pgmpy/pgmpy) (πŸ‘¨β€πŸ’» 130 Β· πŸ”€ 690 Β· πŸ“₯ 340 Β· πŸ“¦ 970 Β· πŸ“‹ 900 - 30% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 52K / month Β· πŸ“¦ 43 Β· ⏱️ 08.03.2024): +- [PyPi](https://pypi.org/project/pgmpy) (πŸ“₯ 54K / month Β· πŸ“¦ 43 Β· ⏱️ 08.03.2024): ``` pip install pgmpy ``` @@ -6732,7 +6743,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 200K / month Β· πŸ“¦ 150 Β· ⏱️ 02.06.2023): +- [PyPi](https://pypi.org/project/gpytorch) (πŸ“₯ 220K / month Β· πŸ“¦ 150 Β· ⏱️ 02.06.2023): ``` pip install gpytorch ``` @@ -6748,11 +6759,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 180K / month Β· πŸ“¦ 76 Β· ⏱️ 02.03.2024): +- [PyPi](https://pypi.org/project/hmmlearn) (πŸ“₯ 190K / month Β· πŸ“¦ 78 Β· ⏱️ 02.03.2024): ``` pip install hmmlearn ``` -- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 220K Β· ⏱️ 02.03.2024): +- [Conda](https://anaconda.org/conda-forge/hmmlearn) (πŸ“₯ 220K Β· ⏱️ 22.05.2024): ``` conda install -c conda-forge hmmlearn ``` @@ -6780,27 +6791,27 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 16M / month Β· πŸ“¦ 480 Β· ⏱️ 04.01.2024): +- [PyPi](https://pypi.org/project/patsy) (πŸ“₯ 15M / month Β· πŸ“¦ 480 Β· ⏱️ 04.01.2024): ``` pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 10M Β· ⏱️ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/patsy) (πŸ“₯ 11M Β· ⏱️ 05.01.2024): ``` conda install -c conda-forge patsy ```
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SALib (πŸ₯ˆ31 Β· ⭐ 830) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT +
SALib (πŸ₯ˆ31 Β· ⭐ 840) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT - [GitHub](https://github.com/SALib/SALib) (πŸ‘¨β€πŸ’» 46 Β· πŸ”€ 230 Β· πŸ“¦ 1.1K Β· πŸ“‹ 320 - 15% open Β· ⏱️ 22.04.2024): ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 190K / month Β· πŸ“¦ 120 Β· ⏱️ 22.04.2024): +- [PyPi](https://pypi.org/project/salib) (πŸ“₯ 180K / month Β· πŸ“¦ 120 Β· ⏱️ 22.04.2024): ``` pip install salib ``` -- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 150K Β· ⏱️ 22.04.2024): +- [Conda](https://anaconda.org/conda-forge/salib) (πŸ“₯ 160K Β· ⏱️ 22.04.2024): ``` conda install -c conda-forge salib ``` @@ -6812,7 +6823,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 42K / month Β· πŸ“¦ 54 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/pomegranate) (πŸ“₯ 37K / month Β· πŸ“¦ 54 Β· ⏱️ 11.03.2024): ``` pip install pomegranate ``` @@ -6828,11 +6839,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/GPflow/GPflow ``` -- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 53K / month Β· πŸ“¦ 37 Β· ⏱️ 07.02.2024): +- [PyPi](https://pypi.org/project/gpflow) (πŸ“₯ 58K / month Β· πŸ“¦ 37 Β· ⏱️ 07.02.2024): ``` pip install gpflow ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 26K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gpflow) (πŸ“₯ 27K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge gpflow ``` @@ -6855,24 +6866,24 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Orbit (πŸ₯‰26 Β· ⭐ 1.8K) - A Python package for Bayesian forecasting with object-oriented design.. Apache-2 -- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 55 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): +- [GitHub](https://github.com/uber/orbit) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 140 Β· πŸ“¦ 56 Β· πŸ“‹ 400 - 12% open Β· ⏱️ 31.03.2024): ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 21K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/orbit-ml) (πŸ“₯ 20K / month Β· πŸ“¦ 1 Β· ⏱️ 01.04.2024): ``` pip install orbit-ml ```
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bambi (πŸ₯‰26 Β· ⭐ 1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT +
bambi (πŸ₯‰25 Β· ⭐ 1K) - BAyesian Model-Building Interface (Bambi) in Python. MIT - [GitHub](https://github.com/bambinos/bambi) (πŸ‘¨β€πŸ’» 37 Β· πŸ”€ 120 Β· πŸ“¦ 120 Β· πŸ“‹ 400 - 17% open Β· ⏱️ 02.05.2024): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 22K / month Β· πŸ“¦ 10 Β· ⏱️ 25.10.2023): +- [PyPi](https://pypi.org/project/bambi) (πŸ“₯ 23K / month Β· πŸ“¦ 10 Β· ⏱️ 25.10.2023): ``` pip install bambi ``` @@ -6881,14 +6892,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge bambi ```
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scikit-posthocs (πŸ₯‰25 Β· ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT +
scikit-posthocs (πŸ₯‰24 Β· ⭐ 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT -- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 46 Β· πŸ“¦ 690 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): +- [GitHub](https://github.com/maximtrp/scikit-posthocs) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 39 Β· πŸ“₯ 46 Β· πŸ“¦ 710 Β· πŸ“‹ 54 - 11% open Β· ⏱️ 18.02.2024): ``` git clone https://github.com/maximtrp/scikit-posthocs ``` -- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 83K / month Β· πŸ“¦ 46 Β· ⏱️ 18.02.2024): +- [PyPi](https://pypi.org/project/scikit-posthocs) (πŸ“₯ 85K / month Β· πŸ“¦ 46 Β· ⏱️ 18.02.2024): ``` pip install scikit-posthocs ``` @@ -6904,11 +6915,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/baal-org/baal ``` -- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 4.5K / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): +- [PyPi](https://pypi.org/project/baal) (πŸ“₯ 4.6K / month Β· πŸ“¦ 1 Β· ⏱️ 04.04.2024): ``` pip install baal ``` -- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 8.2K Β· ⏱️ 12.06.2023): +- [Conda](https://anaconda.org/conda-forge/baal) (πŸ“₯ 8.3K Β· ⏱️ 12.06.2023): ``` conda install -c conda-forge baal ``` @@ -6954,7 +6965,7 @@ _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“₯ 4.7K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): +- [PyPi](https://pypi.org/project/textattack) (πŸ“₯ 3.7K / month Β· πŸ“¦ 6 Β· ⏱️ 11.03.2024): ``` pip install textattack ``` @@ -6970,7 +6981,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.5K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): +- [PyPi](https://pypi.org/project/foolbox) (πŸ“₯ 2.6K / month Β· πŸ“¦ 14 Β· ⏱️ 04.03.2024): ``` pip install foolbox ``` @@ -6996,14 +7007,14 @@ _Libraries for testing the robustness of machine learning models against attacks _Libraries that require and make use of CUDA/GPU or other accelerator hardware capabilities to optimize machine learning tasks._ -
CuPy (πŸ₯‡37 Β· ⭐ 7.8K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT +
CuPy (πŸ₯‡37 Β· ⭐ 7.9K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 770 Β· πŸ“₯ 170K Β· πŸ“¦ 2K Β· πŸ“‹ 2.2K - 25% open Β· ⏱️ 13.05.2024): +- [GitHub](https://github.com/cupy/cupy) (πŸ‘¨β€πŸ’» 360 Β· πŸ”€ 770 Β· πŸ“₯ 170K Β· πŸ“¦ 2.1K Β· πŸ“‹ 2.2K - 25% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 24K / month Β· πŸ“¦ 210 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/cupy) (πŸ“₯ 23K / month Β· πŸ“¦ 220 Β· ⏱️ 19.04.2024): ``` pip install cupy ``` @@ -7011,14 +7022,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` conda install -c conda-forge cupy ``` -- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 62K Β· ⭐ 11 Β· ⏱️ 19.04.2024): +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (πŸ“₯ 63K Β· ⭐ 11 Β· ⏱️ 19.04.2024): ``` docker pull cupy/cupy ```
optimum (πŸ₯‡34 Β· ⭐ 2.2K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2 -- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.4K Β· πŸ“‹ 740 - 46% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/huggingface/optimum) (πŸ‘¨β€πŸ’» 100 Β· πŸ”€ 370 Β· πŸ“¦ 2.5K Β· πŸ“‹ 740 - 46% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/huggingface/optimum @@ -7032,42 +7043,42 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge optimum ```
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cuDF (πŸ₯ˆ33 Β· ⭐ 7.4K) - cuDF - GPU DataFrame Library. Apache-2 +
cuDF (πŸ₯ˆ33 Β· ⭐ 7.5K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 840 Β· πŸ“¦ 54 Β· πŸ“‹ 6.3K - 17% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/rapidsai/cudf) (πŸ‘¨β€πŸ’» 280 Β· πŸ”€ 840 Β· πŸ“¦ 55 Β· πŸ“‹ 6.4K - 17% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/rapidsai/cudf ``` -- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3K / month Β· πŸ“¦ 17 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cudf) (πŸ“₯ 3.2K / month Β· πŸ“¦ 17 Β· ⏱️ 01.06.2020): ``` pip install cudf ```
cuML (πŸ₯ˆ31 Β· ⭐ 4K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 06.05.2024): +- [GitHub](https://github.com/rapidsai/cuml) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 500 Β· πŸ“‹ 2.5K - 35% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 2.8K / month Β· πŸ“¦ 13 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (πŸ“₯ 3K / month Β· πŸ“¦ 13 Β· ⏱️ 01.06.2020): ``` pip install cuml ```
PyCUDA (πŸ₯ˆ30 Β· ⭐ 1.8K) - CUDA integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 280 Β· πŸ“¦ 2.8K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/inducer/pycuda) (πŸ‘¨β€πŸ’» 82 Β· πŸ”€ 280 Β· πŸ“¦ 2.9K Β· πŸ“‹ 260 - 30% open Β· ⏱️ 08.05.2024): ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 46K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): +- [PyPi](https://pypi.org/project/pycuda) (πŸ“₯ 47K / month Β· πŸ“¦ 130 Β· ⏱️ 03.01.2024): ``` pip install pycuda ``` -- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 320K Β· ⏱️ 06.01.2024): +- [Conda](https://anaconda.org/conda-forge/pycuda) (πŸ“₯ 330K Β· ⏱️ 06.01.2024): ``` conda install -c conda-forge pycuda ``` @@ -7079,19 +7090,19 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/NVIDIA/apex ``` -- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 200K Β· ⏱️ 02.05.2024): +- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (πŸ“₯ 210K Β· ⏱️ 17.05.2024): ``` conda install -c conda-forge nvidia-apex ```
gpustat (πŸ₯ˆ29 Β· ⭐ 3.9K) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 270 Β· πŸ“¦ 5.3K Β· πŸ“‹ 120 - 22% open Β· ⏱️ 12.01.2024): +- [GitHub](https://github.com/wookayin/gpustat) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 270 Β· πŸ“¦ 5.4K Β· πŸ“‹ 120 - 22% open Β· ⏱️ 12.01.2024): ``` git clone https://github.com/wookayin/gpustat ``` -- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 890K / month Β· πŸ“¦ 140 Β· ⏱️ 22.08.2023): +- [PyPi](https://pypi.org/project/gpustat) (πŸ“₯ 860K / month Β· πŸ“¦ 140 Β· ⏱️ 22.08.2023): ``` pip install gpustat ``` @@ -7107,19 +7118,19 @@ _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“₯ 1.6K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): +- [PyPi](https://pypi.org/project/arrayfire) (πŸ“₯ 1.5K / month Β· πŸ“¦ 10 Β· ⏱️ 22.02.2022): ``` pip install arrayfire ```
cuGraph (πŸ₯ˆ27 Β· ⭐ 1.6K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 2 Β· πŸ“‹ 1.7K - 17% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/rapidsai/cugraph) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 290 Β· πŸ“¦ 2 Β· πŸ“‹ 1.8K - 17% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 240 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (πŸ“₯ 210 / month Β· πŸ“¦ 4 Β· ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -7130,7 +7141,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (πŸ₯‰25 Β· ⭐ 4.9K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/NVIDIA/DALI) (πŸ‘¨β€πŸ’» 91 Β· πŸ”€ 600 Β· πŸ“‹ 1.6K - 13% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/NVIDIA/DALI @@ -7138,38 +7149,38 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
scikit-cuda (πŸ₯‰24 Β· ⭐ 970 Β· πŸ’€) - Python interface to GPU-powered libraries. BSD-3 -- [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 170 Β· πŸ“¦ 290 Β· πŸ“‹ 220 - 23% open Β· ⏱️ 15.10.2023): +- [GitHub](https://github.com/lebedov/scikit-cuda) (πŸ‘¨β€πŸ’» 44 Β· πŸ”€ 170 Β· πŸ“¦ 300 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“₯ 980 / month Β· πŸ“¦ 23 Β· ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (πŸ“₯ 990 / month Β· πŸ“¦ 23 Β· ⏱️ 27.05.2019): ``` pip install scikit-cuda ```
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Vulkan Kompute (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ“‰) - General purpose GPU compute framework built on Vulkan.. Apache-2 +
Merlin (πŸ₯‰21 Β· ⭐ 690) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 120 Β· πŸ“₯ 500 Β· πŸ“‹ 210 - 33% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 110 Β· πŸ“‹ 450 - 45% open Β· ⏱️ 25.04.2024): ``` - git clone https://github.com/KomputeProject/kompute + git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 180 / month Β· ⏱️ 20.01.2024): +- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 8.5K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): ``` - pip install kp + pip install merlin-core ```
-
Merlin (πŸ₯‰20 Β· ⭐ 690) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +
Vulkan Kompute (πŸ₯‰20 Β· ⭐ 1.5K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (πŸ‘¨β€πŸ’» 32 Β· πŸ”€ 110 Β· πŸ“‹ 450 - 45% open Β· ⏱️ 25.04.2024): +- [GitHub](https://github.com/KomputeProject/kompute) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 120 Β· πŸ“₯ 500 Β· πŸ“‹ 210 - 33% open Β· ⏱️ 25.02.2024): ``` - git clone https://github.com/NVIDIA-Merlin/Merlin + git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/merlin-core) (πŸ“₯ 5.9K / month Β· πŸ“¦ 1 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/kp) (πŸ“₯ 140 / month Β· ⏱️ 20.01.2024): ``` - pip install merlin-core + pip install kp ```
cuSignal (πŸ₯‰16 Β· ⭐ 710 Β· πŸ’€) - GPU accelerated signal processing. Apache-2 @@ -7187,7 +7198,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c - 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· ⭐ 130 Β· πŸ’€) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 - ipyexperiments (πŸ₯‰17 Β· ⭐ 190) - Automatic GPU+CPU memory profiling, re-use and memory.. Apache-2 -- SpeedTorch (πŸ₯‰16 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT +- SpeedTorch (πŸ₯‰15 Β· ⭐ 680 Β· πŸ’€) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT

@@ -7199,12 +7210,12 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (πŸ₯‡40 Β· ⭐ 4.2K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“¦ 18K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/tensorflow/datasets) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 1.5K Β· πŸ“¦ 18K Β· πŸ“‹ 1.4K - 48% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/tensorflow/datasets ``` -- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 4.3M / month Β· πŸ“¦ 300 Β· ⏱️ 18.12.2023): +- [PyPi](https://pypi.org/project/tensorflow-datasets) (πŸ“₯ 4.4M / month Β· πŸ“¦ 300 Β· ⏱️ 18.12.2023): ``` pip install tensorflow-datasets ``` @@ -7220,11 +7231,11 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 5.3M / month Β· πŸ“¦ 280 Β· ⏱️ 30.01.2024): +- [PyPi](https://pypi.org/project/tensorflow-hub) (πŸ“₯ 5.4M / month Β· πŸ“¦ 290 Β· ⏱️ 30.01.2024): ``` pip install tensorflow-hub ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 96K Β· ⏱️ 07.05.2024): +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (πŸ“₯ 97K Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge tensorflow-hub ``` @@ -7241,28 +7252,28 @@ _Libraries that extend TensorFlow with additional capabilities._ pip install tensorflow-addons ```
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TFX (πŸ₯ˆ32 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +
TF Model Optimization (πŸ₯ˆ33 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 690 Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 320 Β· πŸ“¦ 3.8K Β· πŸ“‹ 380 - 56% open Β· ⏱️ 02.05.2024): ``` - git clone https://github.com/tensorflow/tfx + git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 70K / month Β· πŸ“¦ 17 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 780K / month Β· πŸ“¦ 43 Β· ⏱️ 08.02.2024): ``` - pip install tfx + pip install tensorflow-model-optimization ```
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TF Model Optimization (πŸ₯ˆ32 Β· ⭐ 1.5K) - A toolkit to optimize ML models for deployment for.. Apache-2 +
TFX (πŸ₯ˆ32 Β· ⭐ 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (πŸ‘¨β€πŸ’» 85 Β· πŸ”€ 320 Β· πŸ“¦ 3.8K Β· πŸ“‹ 380 - 56% open Β· ⏱️ 02.05.2024): +- [GitHub](https://github.com/tensorflow/tfx) (πŸ‘¨β€πŸ’» 180 Β· πŸ”€ 690 Β· πŸ“‹ 1.1K - 21% open Β· ⏱️ 21.05.2024): ``` - git clone https://github.com/tensorflow/model-optimization + git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (πŸ“₯ 770K / month Β· πŸ“¦ 43 Β· ⏱️ 08.02.2024): +- [PyPi](https://pypi.org/project/tfx) (πŸ“₯ 73K / month Β· πŸ“¦ 17 Β· ⏱️ 13.05.2024): ``` - pip install tensorflow-model-optimization + pip install tfx ```
TensorFlow Transform (πŸ₯ˆ32 Β· ⭐ 980) - Input pipeline framework. Apache-2 @@ -7284,7 +7295,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 3.9M / month Β· πŸ“¦ 60 Β· ⏱️ 01.05.2024): +- [PyPi](https://pypi.org/project/tensorflow-io) (πŸ“₯ 4M / month Β· πŸ“¦ 60 Β· ⏱️ 01.05.2024): ``` pip install tensorflow-io ``` @@ -7303,24 +7314,24 @@ _Libraries that extend TensorFlow with additional capabilities._
TF Compression (πŸ₯‰23 Β· ⭐ 830) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“‹ 100 - 9% open Β· ⏱️ 17.04.2024): +- [GitHub](https://github.com/tensorflow/compression) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 250 Β· πŸ“‹ 100 - 9% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 15K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): +- [PyPi](https://pypi.org/project/tensorflow-compression) (πŸ“₯ 11K / month Β· πŸ“¦ 2 Β· ⏱️ 02.02.2024): ``` pip install tensorflow-compression ```
TensorFlow Cloud (πŸ₯‰23 Β· ⭐ 370) - The TensorFlow Cloud repository provides APIs that.. Apache-2 -- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 83 Β· πŸ“¦ 390 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): +- [GitHub](https://github.com/tensorflow/cloud) (πŸ‘¨β€πŸ’» 27 Β· πŸ”€ 83 Β· πŸ“¦ 400 Β· πŸ“‹ 100 - 73% open Β· ⏱️ 25.02.2024): ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 50K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (πŸ“₯ 48K / month Β· πŸ“¦ 7 Β· ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ``` @@ -7332,7 +7343,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 5.5K / month Β· πŸ“¦ 8 Β· ⏱️ 20.03.2024): +- [PyPi](https://pypi.org/project/saliency) (πŸ“₯ 5.1K / month Β· πŸ“¦ 8 Β· ⏱️ 20.03.2024): ``` pip install saliency ``` @@ -7342,7 +7353,7 @@ _Libraries that extend TensorFlow with additional capabilities._ - tensor2tensor (πŸ₯ˆ32 Β· ⭐ 15K Β· πŸ’€) - Library of deep learning models and datasets designed.. Apache-2 - Keras-Preprocessing (πŸ₯‰28 Β· ⭐ 1K Β· πŸ’€) - Utilities for working with image data, text data, and.. MIT - efficientnet (πŸ₯‰27 Β· ⭐ 2.1K Β· πŸ’€) - Implementation of EfficientNet model. Keras and.. Apache-2 -- TensorNets (πŸ₯‰21 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT +- TensorNets (πŸ₯‰20 Β· ⭐ 1K Β· πŸ’€) - High level network definitions with pre-trained weights in.. MIT - tffm (πŸ₯‰18 Β· ⭐ 780 Β· πŸ’€) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7355,24 +7366,24 @@ _Libraries that extend Jax with additional capabilities._
equinox (πŸ₯‡30 Β· ⭐ 1.8K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 130 Β· πŸ“¦ 550 Β· πŸ“‹ 350 - 33% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/patrick-kidger/equinox) (πŸ‘¨β€πŸ’» 51 Β· πŸ”€ 130 Β· πŸ“¦ 560 Β· πŸ“‹ 360 - 33% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 260K / month Β· πŸ“¦ 120 Β· ⏱️ 14.04.2024): +- [PyPi](https://pypi.org/project/equinox) (πŸ“₯ 280K / month Β· πŸ“¦ 130 Β· ⏱️ 14.04.2024): ``` pip install equinox ```
evojax (πŸ₯‰19 Β· ⭐ 790 Β· πŸ’€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 -- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 69 Β· πŸ“¦ 19 Β· πŸ“‹ 33 - 48% open Β· ⏱️ 29.08.2023): +- [GitHub](https://github.com/google/evojax) (πŸ‘¨β€πŸ’» 14 Β· πŸ”€ 69 Β· πŸ“¦ 21 Β· πŸ“‹ 33 - 48% open Β· ⏱️ 29.08.2023): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 600 / month Β· πŸ“¦ 5 Β· ⏱️ 29.08.2023): +- [PyPi](https://pypi.org/project/evojax) (πŸ“₯ 950 / month Β· πŸ“¦ 5 Β· ⏱️ 29.08.2023): ``` pip install evojax ``` @@ -7400,7 +7411,7 @@ _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“₯ 11M / month Β· πŸ“¦ 380 Β· ⏱️ 31.03.2024): +- [PyPi](https://pypi.org/project/imbalanced-learn) (πŸ“₯ 11M / month Β· πŸ“¦ 390 Β· ⏱️ 31.03.2024): ``` pip install imbalanced-learn ``` @@ -7411,16 +7422,16 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-learn-intelex (πŸ₯‡35 Β· ⭐ 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 170 Β· πŸ“¦ 11K Β· πŸ“‹ 250 - 27% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 170 Β· πŸ“¦ 11K Β· πŸ“‹ 250 - 28% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 120K / month Β· πŸ“¦ 42 Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (πŸ“₯ 110K / month Β· πŸ“¦ 42 Β· ⏱️ 13.05.2024): ``` pip install scikit-learn-intelex ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 260K Β· ⏱️ 19.04.2024): +- [Conda](https://anaconda.org/conda-forge/scikit-learn-intelex) (πŸ“₯ 270K Β· ⏱️ 19.04.2024): ``` conda install -c conda-forge scikit-learn-intelex ``` @@ -7432,11 +7443,11 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/rasbt/mlxtend ``` -- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 630K / month Β· πŸ“¦ 150 Β· ⏱️ 05.01.2024): +- [PyPi](https://pypi.org/project/mlxtend) (πŸ“₯ 620K / month Β· πŸ“¦ 160 Β· ⏱️ 05.01.2024): ``` pip install mlxtend ``` -- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 300K Β· ⏱️ 05.01.2024): +- [Conda](https://anaconda.org/conda-forge/mlxtend) (πŸ“₯ 310K Β· ⏱️ 05.01.2024): ``` conda install -c conda-forge mlxtend ``` @@ -7459,7 +7470,7 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-lego (πŸ₯ˆ28 Β· ⭐ 1.2K) - Extra blocks for scikit-learn pipelines. MIT -- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· πŸ“‹ 310 - 10% open Β· ⏱️ 12.05.2024): +- [GitHub](https://github.com/koaning/scikit-lego) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 110 Β· πŸ“¦ 140 Β· πŸ“‹ 310 - 11% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/koaning/scikit-lego @@ -7475,12 +7486,12 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-opt (πŸ₯‰25 Β· ⭐ 5K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT -- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 950 Β· πŸ“¦ 200 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 19.11.2023): +- [GitHub](https://github.com/guofei9987/scikit-opt) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 960 Β· πŸ“¦ 200 Β· πŸ“‹ 180 - 36% open Β· ⏱️ 19.11.2023): ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.4K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (πŸ“₯ 3.5K / month Β· πŸ“¦ 9 Β· ⏱️ 14.01.2022): ``` pip install scikit-opt ``` @@ -7492,7 +7503,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.3K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): +- [PyPi](https://pypi.org/project/deslib) (πŸ“₯ 1.2K / month Β· πŸ“¦ 3 Β· ⏱️ 12.04.2024): ``` pip install deslib ``` @@ -7504,7 +7515,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 3.1K / month Β· ⏱️ 03.08.2021): +- [PyPi](https://pypi.org/project/scikit-tda) (πŸ“₯ 3.2K / month Β· ⏱️ 03.08.2021): ``` pip install scikit-tda ``` @@ -7517,10 +7528,10 @@ _Libraries that extend scikit-learn with additional capabilities._ - sklearn-crfsuite (πŸ₯ˆ26 Β· ⭐ 420 Β· πŸ’€) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (πŸ₯‰22 Β· ⭐ 1.7K Β· πŸ’€) - Large-scale linear classification, regression and.. BSD-3 - iterative-stratification (πŸ₯‰21 Β· ⭐ 830 Β· πŸ’€) - scikit-learn cross validators for iterative.. BSD-3 -- combo (πŸ₯‰21 Β· ⭐ 630 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost +- combo (πŸ₯‰21 Β· ⭐ 640 Β· πŸ’€) - (AAAI 20) A Python Toolbox for Machine Learning Model.. BSD-2 xgboost - skope-rules (πŸ₯‰21 Β· ⭐ 590 Β· πŸ’€) - machine learning with logical rules in Python. ❗️BSD-1-Clause - skggm (πŸ₯‰18 Β· ⭐ 240 Β· πŸ’€) - Scikit-learn compatible estimation of general graphical models. MIT -- celer (πŸ₯‰18 Β· ⭐ 190) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 +- celer (πŸ₯‰16 Β· ⭐ 190 Β· πŸ“‰) - Fast solver for L1-type problems: Lasso, sparse Logisitic.. BSD-3 - dabl (πŸ₯‰15 Β· ⭐ 130) - Data Analysis Baseline Library. BSD-3

@@ -7533,23 +7544,23 @@ _Libraries that extend Pytorch with additional capabilities._
accelerate (πŸ₯‡40 Β· ⭐ 7.1K) - A simple way to launch, train, and use PyTorch models on.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 810 Β· πŸ“¦ 36K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/huggingface/accelerate) (πŸ‘¨β€πŸ’» 250 Β· πŸ”€ 810 Β· πŸ“¦ 37K Β· πŸ“‹ 1.4K - 9% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 9M / month Β· πŸ“¦ 1.1K Β· ⏱️ 10.05.2024): +- [PyPi](https://pypi.org/project/accelerate) (πŸ“₯ 8.6M / month Β· πŸ“¦ 1.1K Β· ⏱️ 10.05.2024): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 130K Β· ⏱️ 11.05.2024): +- [Conda](https://anaconda.org/conda-forge/accelerate) (πŸ“₯ 140K Β· ⏱️ 11.05.2024): ``` conda install -c conda-forge accelerate ```
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tinygrad (πŸ₯‡32 Β· ⭐ 24K) - You like pytorch? You like micrograd? You love tinygrad!. MIT +
tinygrad (πŸ₯‡33 Β· ⭐ 24K Β· πŸ“ˆ) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.6K Β· πŸ“¦ 63 Β· πŸ“‹ 610 - 17% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/tinygrad/tinygrad) (πŸ‘¨β€πŸ’» 310 Β· πŸ”€ 2.7K Β· πŸ“¦ 64 Β· πŸ“‹ 610 - 15% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/geohot/tinygrad @@ -7562,7 +7573,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning ``` -- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 370K / month Β· πŸ“¦ 33 Β· ⏱️ 01.04.2024): +- [PyPi](https://pypi.org/project/pytorch-metric-learning) (πŸ“₯ 400K / month Β· πŸ“¦ 33 Β· ⏱️ 01.04.2024): ``` pip install pytorch-metric-learning ``` @@ -7571,14 +7582,14 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c metric-learning pytorch-metric-learning ```
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torchdiffeq (πŸ₯‡29 Β· ⭐ 5.2K Β· πŸ’€) - Differentiable ODE solvers with full GPU support and.. MIT +
torchdiffeq (πŸ₯‡29 Β· ⭐ 5.3K Β· πŸ’€) - Differentiable ODE solvers with full GPU support and.. MIT - [GitHub](https://github.com/rtqichen/torchdiffeq) (πŸ‘¨β€πŸ’» 21 Β· πŸ”€ 890 Β· πŸ“¦ 3.3K Β· πŸ“‹ 220 - 33% open Β· ⏱️ 19.10.2023): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 750K / month Β· πŸ“¦ 89 Β· ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (πŸ“₯ 730K / month Β· πŸ“¦ 89 Β· ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` @@ -7594,11 +7605,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/jettify/pytorch-optimizer ``` -- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 140K / month Β· πŸ“¦ 84 Β· ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/torch_optimizer) (πŸ“₯ 130K / month Β· πŸ“¦ 84 Β· ⏱️ 31.10.2021): ``` pip install torch_optimizer ``` -- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (πŸ“₯ 10K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/torch-optimizer): ``` conda install -c conda-forge torch-optimizer ``` @@ -7626,7 +7637,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2.7K / month Β· πŸ“¦ 5 Β· ⏱️ 11.05.2022): +- [PyPi](https://pypi.org/project/lightning-flash) (πŸ“₯ 2.4K / month Β· πŸ“¦ 5 Β· ⏱️ 11.05.2022): ``` pip install lightning-flash ``` @@ -7642,11 +7653,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 38K / month Β· πŸ“¦ 130 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-scatter) (πŸ“₯ 37K / month Β· πŸ“¦ 130 Β· ⏱️ 06.10.2023): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 280K Β· ⏱️ 12.01.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (πŸ“₯ 290K Β· ⏱️ 19.05.2024): ``` conda install -c conda-forge pytorch_scatter ``` @@ -7658,11 +7669,11 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/dreamquark-ai/tabnet ``` -- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 34K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): +- [PyPi](https://pypi.org/project/pytorch-tabnet) (πŸ“₯ 36K / month Β· πŸ“¦ 11 Β· ⏱️ 23.07.2023): ``` pip install pytorch-tabnet ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6.6K Β· ⏱️ 20.12.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (πŸ“₯ 6.7K Β· ⏱️ 20.12.2023): ``` conda install -c conda-forge pytorch-tabnet ``` @@ -7674,23 +7685,23 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 26K / month Β· πŸ“¦ 100 Β· ⏱️ 06.10.2023): +- [PyPi](https://pypi.org/project/torch-sparse) (πŸ“₯ 25K / month Β· πŸ“¦ 100 Β· ⏱️ 06.10.2023): ``` pip install torch-sparse ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 280K Β· ⏱️ 09.01.2024): +- [Conda](https://anaconda.org/conda-forge/pytorch_sparse) (πŸ“₯ 290K Β· ⏱️ 19.05.2024): ``` conda install -c conda-forge pytorch_sparse ```
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Pytorch Toolbelt (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ“‰) - PyTorch extensions for fast R&D prototyping and.. MIT +
Pytorch Toolbelt (πŸ₯‰22 Β· ⭐ 1.5K) - PyTorch extensions for fast R&D prototyping and Kaggle.. MIT - [GitHub](https://github.com/BloodAxe/pytorch-toolbelt) (πŸ‘¨β€πŸ’» 7 Β· πŸ”€ 120 Β· πŸ“₯ 17 Β· πŸ“‹ 33 - 12% open Β· ⏱️ 18.04.2024): ``` git clone https://github.com/BloodAxe/pytorch-toolbelt ``` -- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 7.9K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/pytorch_toolbelt) (πŸ“₯ 7.5K / month Β· πŸ“¦ 7 Β· ⏱️ 27.06.2022): ``` pip install pytorch_toolbelt ``` @@ -7702,7 +7713,7 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 9.8K / month Β· ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (πŸ“₯ 9.9K / month Β· ⏱️ 06.11.2021): ``` pip install reformer-pytorch ``` @@ -7717,14 +7728,14 @@ _Libraries that extend Pytorch with additional capabilities._ - 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 - Antialiased CNNs (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 -- micrograd (πŸ₯‰21 Β· ⭐ 8.4K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT +- micrograd (πŸ₯‰21 Β· ⭐ 8.5K Β· πŸ’€) - A tiny scalar-valued autograd engine and a neural net library.. MIT - AdaBound (πŸ₯‰21 Β· ⭐ 2.9K Β· πŸ’€) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 - pytorchviz (πŸ₯‰20 Β· ⭐ 3K Β· πŸ’€) - A small package to create visualizations of PyTorch execution graphs. MIT - Lambda Networks (πŸ₯‰20 Β· ⭐ 1.5K Β· πŸ’€) - Implementation of LambdaNetworks, a new approach to.. MIT - Performer Pytorch (πŸ₯‰19 Β· ⭐ 1.1K Β· πŸ’€) - An implementation of Performer, a linear attention-.. MIT - Poutyne (πŸ₯‰19 Β· ⭐ 560 Β· πŸ’€) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 -- Torch-Struct (πŸ₯‰18 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tez (πŸ₯‰17 Β· ⭐ 1.2K Β· πŸ’€) - Tez is a super-simple and lightweight Trainer for PyTorch. It.. Apache-2 +- Torch-Struct (πŸ₯‰17 Β· ⭐ 1.1K Β· πŸ’€) - Fast, general, and tested differentiable structured.. MIT - Tensor Sensor (πŸ₯‰17 Β· ⭐ 750 Β· πŸ’€) - The goal of this library is to generate more helpful.. MIT - madgrad (πŸ₯‰16 Β· ⭐ 800 Β· πŸ’€) - MADGRAD Optimization Method. MIT - Pywick (πŸ₯‰16 Β· ⭐ 400 Β· πŸ’€) - High-level batteries-included neural network training library for.. MIT @@ -7746,25 +7757,25 @@ _Libraries for connecting to, operating, and querying databases._ Back to top -
scipy (πŸ₯‡50 Β· ⭐ 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 +
scipy (πŸ₯‡51 Β· ⭐ 13K Β· πŸ“ˆ) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 1M Β· πŸ“‹ 10K - 17% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/scipy/scipy) (πŸ‘¨β€πŸ’» 1.6K Β· πŸ”€ 5K Β· πŸ“₯ 400K Β· πŸ“¦ 1M Β· πŸ“‹ 10K - 17% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 110M / month Β· πŸ“¦ 41K Β· ⏱️ 02.04.2024): +- [PyPi](https://pypi.org/project/scipy) (πŸ“₯ 110M / month Β· πŸ“¦ 41K Β· ⏱️ 23.05.2024): ``` pip install scipy ``` -- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 48M Β· ⏱️ 04.05.2024): +- [Conda](https://anaconda.org/conda-forge/scipy) (πŸ“₯ 48M Β· ⏱️ 23.05.2024): ``` conda install -c conda-forge scipy ```
SymPy (πŸ₯‡47 Β· ⭐ 12K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.3K Β· πŸ“₯ 540K Β· πŸ“¦ 140K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/sympy/sympy) (πŸ‘¨β€πŸ’» 1.3K Β· πŸ”€ 4.3K Β· πŸ“₯ 540K Β· πŸ“¦ 140K Β· πŸ“‹ 14K - 36% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/sympy/sympy @@ -7773,109 +7784,109 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install sympy ``` -- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 5.5M Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/sympy) (πŸ“₯ 5.6M Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge sympy ```
Streamlit (πŸ₯‡46 Β· ⭐ 32K) - Streamlit A faster way to build and share data apps. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.8K Β· πŸ“¦ 380K Β· πŸ“‹ 4.1K - 19% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/streamlit/streamlit) (πŸ‘¨β€πŸ’» 230 Β· πŸ”€ 2.8K Β· πŸ“¦ 390K Β· πŸ“‹ 4.2K - 19% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 4.3M / month Β· πŸ“¦ 2.3K Β· ⏱️ 02.05.2024): +- [PyPi](https://pypi.org/project/streamlit) (πŸ“₯ 4.6M / month Β· πŸ“¦ 2.3K Β· ⏱️ 02.05.2024): ``` pip install streamlit ```
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Gradio (πŸ₯‡44 Β· ⭐ 29K) - Wrap UIs around any model, share with anyone. Apache-2 +
Gradio (πŸ₯‡44 Β· ⭐ 30K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 320 Β· πŸ”€ 2.2K Β· πŸ“¦ 30K Β· πŸ“‹ 4.2K - 12% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/gradio-app/gradio) (πŸ‘¨β€πŸ’» 330 Β· πŸ”€ 2.2K Β· πŸ“¦ 31K Β· πŸ“‹ 4.2K - 11% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 6.8M / month Β· πŸ“¦ 550 Β· ⏱️ 15.05.2024): +- [PyPi](https://pypi.org/project/gradio) (πŸ“₯ 7.3M / month Β· πŸ“¦ 560 Β· ⏱️ 21.05.2024): ``` pip install gradio ```
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DeepChem (πŸ₯‡37 Β· ⭐ 5.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT +
carla (πŸ₯‡36 Β· ⭐ 11K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 370 Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.4K Β· πŸ“¦ 710 Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 21.05.2024): ``` - git clone https://github.com/deepchem/deepchem - ``` -- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 29K / month Β· πŸ“¦ 13 Β· ⏱️ 15.05.2024): - ``` - pip install deepchem + git clone https://github.com/carla-simulator/carla ``` -- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 110K Β· ⏱️ 05.04.2024): +- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 12K / month Β· πŸ“¦ 7 Β· ⏱️ 14.11.2023): ``` - conda install -c conda-forge deepchem + pip install carla ```
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carla (πŸ₯‡36 Β· ⭐ 11K) - Open-source simulator for autonomous driving research. MIT +
DeepChem (πŸ₯‡36 Β· ⭐ 5.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/carla-simulator/carla) (πŸ‘¨β€πŸ’» 190 Β· πŸ”€ 3.4K Β· πŸ“¦ 710 Β· πŸ“‹ 5.2K - 20% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/deepchem/deepchem) (πŸ‘¨β€πŸ’» 240 Β· πŸ”€ 1.6K Β· πŸ“¦ 370 Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 17.05.2024): ``` - git clone https://github.com/carla-simulator/carla + git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/carla) (πŸ“₯ 13K / month Β· πŸ“¦ 7 Β· ⏱️ 14.11.2023): +- [PyPi](https://pypi.org/project/deepchem) (πŸ“₯ 25K / month Β· πŸ“¦ 13 Β· ⏱️ 17.05.2024): ``` - pip install carla + pip install deepchem + ``` +- [Conda](https://anaconda.org/conda-forge/deepchem) (πŸ“₯ 110K Β· ⏱️ 05.04.2024): + ``` + conda install -c conda-forge deepchem ```
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PennyLane (πŸ₯‡36 Β· ⭐ 2.1K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 +
PennyLane (πŸ₯‡35 Β· ⭐ 2.1K) - PennyLane is a cross-platform Python library for quantum.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 78 Β· πŸ“¦ 880 Β· πŸ“‹ 1.2K - 22% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (πŸ‘¨β€πŸ’» 170 Β· πŸ”€ 540 Β· πŸ“₯ 78 Β· πŸ“¦ 890 Β· πŸ“‹ 1.3K - 23% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 62K / month Β· πŸ“¦ 100 Β· ⏱️ 06.05.2024): +- [PyPi](https://pypi.org/project/pennylane) (πŸ“₯ 56K / month Β· πŸ“¦ 100 Β· ⏱️ 06.05.2024): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 47K Β· ⏱️ 07.05.2024): +- [Conda](https://anaconda.org/conda-forge/pennylane) (πŸ“₯ 50K Β· ⏱️ 07.05.2024): ``` conda install -c conda-forge pennylane ```
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Datasette (πŸ₯ˆ35 Β· ⭐ 9K) - An open source multi-tool for exploring and publishing data. Apache-2 +
agate (πŸ₯‡35 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 630 Β· πŸ“₯ 64 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 22.04.2024): +- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 150 Β· πŸ“¦ 3.2K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 28.04.2024): ``` - git clone https://github.com/simonw/datasette + git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 41K / month Β· πŸ“¦ 390 Β· ⏱️ 13.03.2024): +- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 6.8M / month Β· πŸ“¦ 45 Β· ⏱️ 28.04.2024): ``` - pip install datasette + pip install agate ``` -- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 33K Β· ⏱️ 03.01.2024): +- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 180K Β· ⏱️ 28.04.2024): ``` - conda install -c conda-forge datasette + conda install -c conda-forge agate ```
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agate (πŸ₯ˆ35 Β· ⭐ 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT +
Datasette (πŸ₯ˆ34 Β· ⭐ 9K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/wireservice/agate) (πŸ‘¨β€πŸ’» 53 Β· πŸ”€ 150 Β· πŸ“¦ 3.2K Β· πŸ“‹ 650 - 0% open Β· ⏱️ 28.04.2024): +- [GitHub](https://github.com/simonw/datasette) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 630 Β· πŸ“₯ 64 Β· πŸ“¦ 1.3K Β· πŸ“‹ 1.8K - 32% open Β· ⏱️ 22.04.2024): ``` - git clone https://github.com/wireservice/agate + git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/agate) (πŸ“₯ 6.5M / month Β· πŸ“¦ 45 Β· ⏱️ 28.04.2024): +- [PyPi](https://pypi.org/project/datasette) (πŸ“₯ 40K / month Β· πŸ“¦ 390 Β· ⏱️ 13.03.2024): ``` - pip install agate + pip install datasette ``` -- [Conda](https://anaconda.org/conda-forge/agate) (πŸ“₯ 180K Β· ⏱️ 28.04.2024): +- [Conda](https://anaconda.org/conda-forge/datasette) (πŸ“₯ 34K Β· ⏱️ 03.01.2024): ``` - conda install -c conda-forge agate + conda install -c conda-forge datasette ```
Autograd (πŸ₯ˆ34 Β· ⭐ 6.8K) - Efficiently computes derivatives of numpy code. MIT @@ -7885,11 +7896,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.4M / month Β· πŸ“¦ 260 Β· ⏱️ 23.06.2023): +- [PyPi](https://pypi.org/project/autograd) (πŸ“₯ 1.3M / month Β· πŸ“¦ 260 Β· ⏱️ 23.06.2023): ``` pip install autograd ``` -- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 420K Β· ⏱️ 26.06.2023): +- [Conda](https://anaconda.org/conda-forge/autograd) (πŸ“₯ 430K Β· ⏱️ 26.06.2023): ``` conda install -c conda-forge autograd ``` @@ -7901,39 +7912,39 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/pyod ``` -- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 720K / month Β· πŸ“¦ 110 Β· ⏱️ 09.02.2024): +- [PyPi](https://pypi.org/project/pyod) (πŸ“₯ 710K / month Β· πŸ“¦ 110 Β· ⏱️ 09.02.2024): ``` pip install pyod ``` -- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 97K Β· ⏱️ 09.02.2024): +- [Conda](https://anaconda.org/conda-forge/pyod) (πŸ“₯ 99K Β· ⏱️ 09.02.2024): ``` conda install -c conda-forge pyod ```
Pythran (πŸ₯ˆ33 Β· ⭐ 2K) - 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“¦ 2.1K Β· πŸ“‹ 860 - 15% open Β· ⏱️ 14.05.2024): +- [GitHub](https://github.com/serge-sans-paille/pythran) (πŸ‘¨β€πŸ’» 72 Β· πŸ”€ 190 Β· πŸ“¦ 2.2K Β· πŸ“‹ 850 - 15% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 220K / month Β· πŸ“¦ 19 Β· ⏱️ 07.01.2024): +- [PyPi](https://pypi.org/project/pythran) (πŸ“₯ 230K / month Β· πŸ“¦ 19 Β· ⏱️ 20.05.2024): ``` pip install pythran ``` -- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 480K Β· ⏱️ 02.05.2024): +- [Conda](https://anaconda.org/conda-forge/pythran) (πŸ“₯ 490K Β· ⏱️ 21.05.2024): ``` conda install -c conda-forge pythran ```
pyopencl (πŸ₯ˆ33 Β· ⭐ 1K) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 340 - 21% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/inducer/pyopencl) (πŸ‘¨β€πŸ’» 96 Β· πŸ”€ 240 Β· πŸ“¦ 1.9K Β· πŸ“‹ 340 - 21% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 58K / month Β· πŸ“¦ 160 Β· ⏱️ 09.05.2024): +- [PyPi](https://pypi.org/project/pyopencl) (πŸ“₯ 54K / month Β· πŸ“¦ 160 Β· ⏱️ 09.05.2024): ``` pip install pyopencl ``` @@ -7944,16 +7955,16 @@ _Libraries for connecting to, operating, and querying databases._
River (πŸ₯ˆ31 Β· ⭐ 4.8K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“¦ 480 Β· πŸ“‹ 580 - 18% open Β· ⏱️ 15.05.2024): +- [GitHub](https://github.com/online-ml/river) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 530 Β· πŸ“¦ 490 Β· πŸ“‹ 590 - 18% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/online-ml/river ``` -- [PyPi](https://pypi.org/project/river) (πŸ“₯ 35K / month Β· πŸ“¦ 51 Β· ⏱️ 23.04.2024): +- [PyPi](https://pypi.org/project/river) (πŸ“₯ 36K / month Β· πŸ“¦ 51 Β· ⏱️ 23.04.2024): ``` pip install river ``` -- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 57K Β· ⏱️ 06.10.2023): +- [Conda](https://anaconda.org/conda-forge/river) (πŸ“₯ 59K Β· ⏱️ 06.10.2023): ``` conda install -c conda-forge river ``` @@ -7965,19 +7976,35 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/uber/causalml ``` -- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 78K / month Β· πŸ“¦ 1 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/causalml) (πŸ“₯ 65K / month Β· πŸ“¦ 1 Β· ⏱️ 19.04.2024): ``` pip install causalml ```
+
hdbscan (πŸ₯ˆ31 Β· ⭐ 2.7K) - A high performance implementation of HDBSCAN clustering. BSD-3 + +- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 89 Β· πŸ”€ 480 Β· πŸ“¦ 3.5K Β· πŸ“‹ 520 - 67% open Β· ⏱️ 22.05.2024): + + ``` + git clone https://github.com/scikit-learn-contrib/hdbscan + ``` +- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 620K / month Β· πŸ“¦ 300 Β· ⏱️ 20.11.2023): + ``` + pip install hdbscan + ``` +- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.9M Β· ⏱️ 18.04.2024): + ``` + conda install -c conda-forge hdbscan + ``` +
pyjanitor (πŸ₯ˆ31 Β· ⭐ 1.3K) - Clean APIs for data cleaning. Python implementation of R package.. MIT -- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 610 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 10.05.2024): +- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (πŸ‘¨β€πŸ’» 110 Β· πŸ”€ 170 Β· πŸ“¦ 610 Β· πŸ“‹ 560 - 20% open Β· ⏱️ 19.05.2024): ``` git clone https://github.com/pyjanitor-devs/pyjanitor ``` -- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 77K / month Β· πŸ“¦ 28 Β· ⏱️ 21.03.2024): +- [PyPi](https://pypi.org/project/pyjanitor) (πŸ“₯ 76K / month Β· πŸ“¦ 28 Β· ⏱️ 21.03.2024): ``` pip install pyjanitor ``` @@ -7988,23 +8015,23 @@ _Libraries for connecting to, operating, and querying databases._
datalad (πŸ₯ˆ31 Β· ⭐ 490) - 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“¦ 390 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 07.05.2024): +- [GitHub](https://github.com/datalad/datalad) (πŸ‘¨β€πŸ’» 55 Β· πŸ”€ 110 Β· πŸ“¦ 400 Β· πŸ“‹ 3.9K - 13% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/datalad/datalad ``` -- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 18K / month Β· πŸ“¦ 92 Β· ⏱️ 19.04.2024): +- [PyPi](https://pypi.org/project/datalad) (πŸ“₯ 19K / month Β· πŸ“¦ 92 Β· ⏱️ 19.04.2024): ``` pip install datalad ``` -- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 450K Β· ⏱️ 20.04.2024): +- [Conda](https://anaconda.org/conda-forge/datalad) (πŸ“₯ 460K Β· ⏱️ 20.04.2024): ``` conda install -c conda-forge datalad ```
anomalib (πŸ₯ˆ30 Β· ⭐ 3.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 580 Β· πŸ“₯ 9.7K Β· πŸ“¦ 64 Β· πŸ“‹ 830 - 14% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 580 Β· πŸ“₯ 10K Β· πŸ“¦ 67 Β· πŸ“‹ 840 - 14% open Β· ⏱️ 20.05.2024): ``` git clone https://github.com/openvinotoolkit/anomalib @@ -8014,50 +8041,34 @@ _Libraries for connecting to, operating, and querying databases._ pip install anomalib ```
-
hdbscan (πŸ₯ˆ30 Β· ⭐ 2.7K) - A high performance implementation of HDBSCAN clustering. BSD-3 +
tensorly (πŸ₯ˆ30 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (πŸ‘¨β€πŸ’» 88 Β· πŸ”€ 480 Β· πŸ“¦ 3.5K Β· πŸ“‹ 520 - 67% open Β· ⏱️ 30.04.2024): +- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 270 Β· πŸ“¦ 650 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 11.04.2024): ``` - git clone https://github.com/scikit-learn-contrib/hdbscan + git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/hdbscan) (πŸ“₯ 600K / month Β· πŸ“¦ 300 Β· ⏱️ 20.11.2023): +- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 32K / month Β· πŸ“¦ 78 Β· ⏱️ 08.03.2023): ``` - pip install hdbscan + pip install tensorly ``` -- [Conda](https://anaconda.org/conda-forge/hdbscan) (πŸ“₯ 1.9M Β· ⏱️ 18.04.2024): +- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): ``` - conda install -c conda-forge hdbscan + conda install -c conda-forge tensorly ```
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avalanche (πŸ₯ˆ30 Β· ⭐ 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT +
avalanche (πŸ₯ˆ29 Β· ⭐ 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“₯ 21 Β· πŸ“¦ 82 Β· πŸ“‹ 800 - 11% open Β· ⏱️ 09.05.2024): +- [GitHub](https://github.com/ContinualAI/avalanche) (πŸ‘¨β€πŸ’» 78 Β· πŸ”€ 280 Β· πŸ“₯ 21 Β· πŸ“¦ 82 Β· πŸ“‹ 800 - 11% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/ContinualAI/avalanche ``` -- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 1.1K / month Β· πŸ“¦ 3 Β· ⏱️ 27.02.2024): +- [PyPi](https://pypi.org/project/avalanche-lib) (πŸ“₯ 960 / month Β· πŸ“¦ 3 Β· ⏱️ 27.02.2024): ``` pip install avalanche-lib ```
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tensorly (πŸ₯ˆ30 Β· ⭐ 1.5K) - TensorLy: Tensor Learning in Python. BSD-2 - -- [GitHub](https://github.com/tensorly/tensorly) (πŸ‘¨β€πŸ’» 67 Β· πŸ”€ 270 Β· πŸ“¦ 650 Β· πŸ“‹ 260 - 23% open Β· ⏱️ 11.04.2024): - - ``` - git clone https://github.com/tensorly/tensorly - ``` -- [PyPi](https://pypi.org/project/tensorly) (πŸ“₯ 33K / month Β· πŸ“¦ 77 Β· ⏱️ 08.03.2023): - ``` - pip install tensorly - ``` -- [Conda](https://anaconda.org/conda-forge/tensorly) (πŸ“₯ 360K Β· ⏱️ 16.06.2023): - ``` - conda install -c conda-forge tensorly - ``` -
kmodes (πŸ₯ˆ29 Β· ⭐ 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT - [GitHub](https://github.com/nicodv/kmodes) (πŸ‘¨β€πŸ’» 22 Β· πŸ”€ 410 Β· πŸ“¦ 2.6K Β· πŸ“‹ 160 - 10% open Β· ⏱️ 17.01.2024): @@ -8065,7 +8076,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/nicodv/kmodes ``` -- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 350K / month Β· πŸ“¦ 38 Β· ⏱️ 06.09.2022): +- [PyPi](https://pypi.org/project/kmodes) (πŸ“₯ 330K / month Β· πŸ“¦ 38 Β· ⏱️ 06.09.2022): ``` pip install kmodes ``` @@ -8076,12 +8087,12 @@ _Libraries for connecting to, operating, and querying databases._
adapter-transformers (πŸ₯ˆ28 Β· ⭐ 2.4K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 49 Β· πŸ“‹ 370 - 10% open Β· ⏱️ 11.05.2024): +- [GitHub](https://github.com/adapter-hub/adapters) (πŸ‘¨β€πŸ’» 8 Β· πŸ”€ 320 Β· πŸ“¦ 56 Β· πŸ“‹ 370 - 10% open Β· ⏱️ 21.05.2024): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 130K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2023): +- [PyPi](https://pypi.org/project/adapter-transformers) (πŸ“₯ 110K / month Β· πŸ“¦ 7 Β· ⏱️ 16.12.2023): ``` pip install adapter-transformers ``` @@ -8093,19 +8104,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 23K / month Β· πŸ“¦ 22 Β· ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (πŸ“₯ 22K / month Β· πŸ“¦ 22 Β· ⏱️ 03.01.2021): ``` pip install pyswarms ```
dstack (πŸ₯ˆ28 Β· ⭐ 1.1K) - An open-source container orchestration engine for running AI workloads.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 24 Β· πŸ”€ 76 Β· πŸ“¦ 14 Β· πŸ“‹ 670 - 6% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/dstackai/dstack) (πŸ‘¨β€πŸ’» 25 Β· πŸ”€ 79 Β· πŸ“¦ 14 Β· πŸ“‹ 690 - 7% open Β· ⏱️ 23.05.2024): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 2.6K / month Β· ⏱️ 13.05.2024): +- [PyPi](https://pypi.org/project/dstack) (πŸ“₯ 2.3K / month Β· ⏱️ 23.05.2024): ``` pip install dstack ``` @@ -8117,11 +8128,11 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/annoviko/pyclustering ``` -- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 46K / month Β· πŸ“¦ 29 Β· ⏱️ 25.11.2020): +- [PyPi](https://pypi.org/project/pyclustering) (πŸ“₯ 45K / month Β· πŸ“¦ 29 Β· ⏱️ 25.11.2020): ``` pip install pyclustering ``` -- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 64K Β· ⏱️ 16.11.2023): +- [Conda](https://anaconda.org/conda-forge/pyclustering) (πŸ“₯ 65K Β· ⏱️ 16.11.2023): ``` conda install -c conda-forge pyclustering ``` @@ -8133,19 +8144,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/facebookresearch/AugLy ``` -- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.4K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): +- [PyPi](https://pypi.org/project/augly) (πŸ“₯ 2.6K / month Β· πŸ“¦ 4 Β· ⏱️ 05.12.2023): ``` pip install augly ```
-
modAL (πŸ₯‰26 Β· ⭐ 2.1K Β· πŸ’€) - A modular active learning framework for Python. MIT +
modAL (πŸ₯‰26 Β· ⭐ 2.2K Β· πŸ’€) - A modular active learning framework for Python. MIT -- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 310 Β· πŸ“₯ 35 Β· πŸ“‹ 160 - 63% open Β· ⏱️ 01.06.2023): +- [GitHub](https://github.com/modAL-python/modAL) (πŸ‘¨β€πŸ’» 20 Β· πŸ”€ 320 Β· πŸ“₯ 35 Β· πŸ“‹ 160 - 63% open Β· ⏱️ 01.06.2023): ``` git clone https://github.com/modAL-python/modAL ``` -- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 290K / month Β· πŸ“¦ 27 Β· ⏱️ 15.05.2024): +- [PyPi](https://pypi.org/project/modAL) (πŸ“₯ 290K / month Β· πŸ“¦ 27 Β· ⏱️ 21.05.2024): ``` pip install modAL ``` @@ -8157,7 +8168,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/sepandhaghighi/pycm ``` -- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 45K / month Β· πŸ“¦ 22 Β· ⏱️ 07.06.2023): +- [PyPi](https://pypi.org/project/pycm) (πŸ“₯ 44K / month Β· πŸ“¦ 22 Β· ⏱️ 07.06.2023): ``` pip install pycm ``` @@ -8185,7 +8196,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 100K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): +- [PyPi](https://pypi.org/project/prince) (πŸ“₯ 110K / month Β· πŸ“¦ 14 Β· ⏱️ 11.10.2023): ``` pip install prince ``` @@ -8196,19 +8207,19 @@ _Libraries for connecting to, operating, and querying databases._
Trax (πŸ₯‰25 Β· ⭐ 8K) - Trax Deep Learning with Clear Code and Speed. Apache-2 -- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 150 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 16.05.2024): +- [GitHub](https://github.com/google/trax) (πŸ‘¨β€πŸ’» 79 Β· πŸ”€ 810 Β· πŸ“¦ 160 Β· πŸ“‹ 240 - 47% open Β· ⏱️ 16.05.2024): ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 4K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (πŸ“₯ 3.8K / month Β· πŸ“¦ 1 Β· ⏱️ 26.10.2021): ``` pip install trax ```
gplearn (πŸ₯‰25 Β· ⭐ 1.5K Β· πŸ’€) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 -- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 270 Β· πŸ“¦ 560 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): +- [GitHub](https://github.com/trevorstephens/gplearn) (πŸ‘¨β€πŸ’» 11 Β· πŸ”€ 270 Β· πŸ“¦ 570 Β· πŸ“‹ 210 - 10% open Β· ⏱️ 12.08.2023): ``` git clone https://github.com/trevorstephens/gplearn @@ -8217,7 +8228,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install gplearn ``` -- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 6.8K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/gplearn) (πŸ“₯ 6.9K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge gplearn ``` @@ -8229,7 +8240,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/tableau/TabPy ``` -- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.6K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/tabpy) (πŸ“₯ 7.8K / month Β· πŸ“¦ 2 Β· ⏱️ 30.01.2023): ``` pip install tabpy ``` @@ -8245,19 +8256,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 20K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pymars) (πŸ“₯ 17K / month Β· πŸ“¦ 1 Β· ⏱️ 12.06.2022): ``` pip install pymars ```
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MONAILabel (πŸ₯‰23 Β· ⭐ 550) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
MONAILabel (πŸ₯‰23 Β· ⭐ 560) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 180 Β· πŸ“₯ 82K Β· πŸ“‹ 510 - 23% open Β· ⏱️ 08.05.2024): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (πŸ‘¨β€πŸ’» 59 Β· πŸ”€ 180 Β· πŸ“₯ 84K Β· πŸ“‹ 510 - 23% open Β· ⏱️ 22.05.2024): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 1.1K / month Β· ⏱️ 01.10.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (πŸ“₯ 830 / month Β· ⏱️ 01.10.2023): ``` pip install monailabel-weekly ``` @@ -8269,23 +8280,23 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.5K / month Β· πŸ“¦ 14 Β· ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (πŸ“₯ 1.7K / month Β· πŸ“¦ 14 Β· ⏱️ 01.03.2022): ``` pip install astroML ``` -- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 43K Β· ⏱️ 16.06.2023): +- [Conda](https://anaconda.org/conda-forge/astroml) (πŸ“₯ 44K Β· ⏱️ 16.06.2023): ``` conda install -c conda-forge astroml ```
-
BioPandas (πŸ₯‰22 Β· ⭐ 680 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 +
BioPandas (πŸ₯‰22 Β· ⭐ 690 Β· πŸ’€) - Working with molecular structures in pandas DataFrames. BSD-3 - [GitHub](https://github.com/BioPandas/biopandas) (πŸ‘¨β€πŸ’» 15 Β· πŸ”€ 120 Β· πŸ“¦ 250 Β· πŸ“‹ 58 - 41% open Β· ⏱️ 19.09.2023): ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 58K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): +- [PyPi](https://pypi.org/project/biopandas) (πŸ“₯ 51K / month Β· πŸ“¦ 23 Β· ⏱️ 28.08.2023): ``` pip install biopandas ``` @@ -8306,14 +8317,14 @@ _Libraries for connecting to, operating, and querying databases._ pip install suod ```
-
benchmark_VAE (πŸ₯‰20 Β· ⭐ 1.7K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 +
benchmark_VAE (πŸ₯‰21 Β· ⭐ 1.7K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 150 Β· πŸ“¦ 23 Β· πŸ“‹ 57 - 31% open Β· ⏱️ 09.04.2024): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (πŸ‘¨β€πŸ’» 17 Β· πŸ”€ 150 Β· πŸ“¦ 23 Β· πŸ“‹ 58 - 32% open Β· ⏱️ 09.04.2024): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 800 / month Β· ⏱️ 06.09.2023): +- [PyPi](https://pypi.org/project/pythae) (πŸ“₯ 1.2K / month Β· ⏱️ 06.09.2023): ``` pip install pythae ``` @@ -8337,7 +8348,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 140 / month Β· ⏱️ 12.04.2022): +- [PyPi](https://pypi.org/project/pykale) (πŸ“₯ 72 / month Β· ⏱️ 12.04.2022): ``` pip install pykale ``` @@ -8349,26 +8360,26 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/infer-actively/pymdp ``` -- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 450 / month Β· ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/inferactively-pymdp) (πŸ“₯ 380 / month Β· ⏱️ 08.12.2022): ``` pip install inferactively-pymdp ```
-
NeuralCompression (πŸ₯‰16 Β· ⭐ 460) - A collection of tools for neural compression enthusiasts. MIT +
NeuralCompression (πŸ₯‰16 Β· ⭐ 470) - A collection of tools for neural compression enthusiasts. MIT - [GitHub](https://github.com/facebookresearch/NeuralCompression) (πŸ‘¨β€πŸ’» 10 Β· πŸ”€ 42 Β· πŸ“‹ 69 - 7% open Β· ⏱️ 18.03.2024): ``` git clone https://github.com/facebookresearch/NeuralCompression ``` -- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 100 / month Β· ⏱️ 03.10.2023): +- [PyPi](https://pypi.org/project/neuralcompression) (πŸ“₯ 96 / month Β· ⏱️ 03.10.2023): ``` pip install neuralcompression ```
Show 22 hidden projects... -- cleanlab (πŸ₯ˆ32 Β· ⭐ 8.8K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 +- cleanlab (πŸ₯ˆ32 Β· ⭐ 8.9K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - PaddleHub (πŸ₯ˆ31 Β· ⭐ 13K Β· πŸ’€) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 - alibi-detect (πŸ₯ˆ29 Β· ⭐ 2.1K) - Algorithms for outlier, adversarial and drift detection. ❗️Intel - pysc2 (πŸ₯ˆ28 Β· ⭐ 7.9K Β· πŸ’€) - StarCraft II Learning Environment. Apache-2 @@ -8387,7 +8398,7 @@ _Libraries for connecting to, operating, and querying databases._ - scikit-rebate (πŸ₯‰19 Β· ⭐ 400 Β· πŸ’€) - A scikit-learn-compatible Python implementation of.. MIT - 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 -- KD-Lib (πŸ₯‰15 Β· ⭐ 570 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT +- KD-Lib (πŸ₯‰15 Β· ⭐ 580 Β· πŸ’€) - A Pytorch Knowledge Distillation library for benchmarking and.. MIT - traingenerator (πŸ₯‰13 Β· ⭐ 1.3K Β· πŸ’€) - A web app to generate template code for machine learning. MIT - nylon (πŸ₯‰12 Β· ⭐ 84 Β· πŸ’€) - An intelligent, flexible grammar of machine learning. MIT
diff --git a/history/2024-05-23_changes.md b/history/2024-05-23_changes.md new file mode 100644 index 0000000..2fa7ee7 --- /dev/null +++ b/history/2024-05-23_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._ + +- scipy (πŸ₯‡51 Β· ⭐ 13K Β· πŸ“ˆ) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +- Altair (πŸ₯‡42 Β· ⭐ 9K Β· πŸ“ˆ) - Declarative statistical visualization library for Python. BSD-3 +- Faiss (πŸ₯‡40 Β· ⭐ 29K Β· πŸ“ˆ) - A library for efficient similarity search and clustering of dense vectors. MIT +- MONAI (πŸ₯ˆ36 Β· ⭐ 5.4K Β· πŸ“ˆ) - AI Toolkit for Healthcare Imaging. Apache-2 +- ColossalAI (πŸ₯ˆ34 Β· ⭐ 38K Β· πŸ“ˆ) - Making large AI models cheaper, faster and more accessible. Apache-2 +- datashader (πŸ₯ˆ34 Β· ⭐ 3.2K Β· πŸ“ˆ) - Quickly and accurately render even the largest data. BSD-3 +- tinygrad (πŸ₯‡33 Β· ⭐ 24K Β· πŸ“ˆ) - You like pytorch? You like micrograd? You love tinygrad!. MIT +- scikit-surprise (πŸ₯ˆ29 Β· ⭐ 6.2K Β· πŸ“ˆ) - A Python scikit for building and analyzing recommender.. BSD-3 +- Hyperactive (πŸ₯‰22 Β· ⭐ 490 Β· πŸ“ˆ) - An optimization and data collection toolbox for convenient and.. MIT +- TimeSide (πŸ₯‰21 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 + +## 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._ + +- StatsModels (πŸ₯ˆ44 Β· ⭐ 9.6K Β· πŸ“‰) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +- PyMC3 (πŸ₯‡40 Β· ⭐ 8.2K Β· πŸ“‰) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 +- Rasa (πŸ₯‡39 Β· ⭐ 18K Β· πŸ“‰) - Open source machine learning framework to automate text- and.. Apache-2 +- Jina (πŸ₯ˆ38 Β· ⭐ 20K Β· πŸ“‰) - Build multimodal AI applications with cloud-native stack. Apache-2 +- NeuralProphet (πŸ₯ˆ30 Β· ⭐ 3.7K Β· πŸ“‰) - NeuralProphet: A simple forecasting package. MIT +- mtcnn (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT +- auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT +- optunity (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 +- PipelineDP (πŸ₯‰17 Β· ⭐ 270 Β· πŸ“‰) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- celer (πŸ₯‰16 Β· ⭐ 190 Β· πŸ“‰) - Fast solver for L1-type problems: Lasso, sparse Logisitic.. BSD-3 + diff --git a/history/2024-05-23_projects.csv b/history/2024-05-23_projects.csv new file mode 100644 index 0000000..ce2943f --- /dev/null +++ b/history/2024-05-23_projects.csv @@ -0,0 +1,918 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,trending,helm_id,updated_github_id,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,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 13:21:43.000,2024-05-23 14:17:06.000000,2024-05-22 10:54:06,1558.0,22.0,685.0,117.0,332.0,60.0,143.0,4661.0,Benchmarks of approximate nearest neighbor libraries in Python.,104.0,0,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 13:09:27.000,2024-05-16 17:19:41.000000,2024-05-16 17:19:41,340.0,27.0,163.0,56.0,201.0,,3.0,2195.0,Collection of web-scraping and crawling libraries.,16.0,0,True,2024-05-16 17:19:46.000,2024.05.16,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-23 13:52:56.000000,2024-05-23 13:52:56,355.0,26.0,244.0,87.0,197.0,6.0,5.0,3468.0,Collection of data-loading and -extraction libraries.,12.0,0,True,2024-05-23 13:53:03.000,2024.05.23,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-23 13:52:56.000000,2024-05-23 13:52:56,355.0,26.0,244.0,87.0,197.0,6.0,5.0,3469.0,Collection of database clients for python.,12.0,0,True,2024-05-23 13:53:03.000,2024.05.23,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-23 13:52:56.000000,2024-05-23 13:52:56,355.0,26.0,244.0,87.0,197.0,6.0,5.0,3469.0,"Collection of data-container, dataframe, and pandas-utility libraries.",12.0,0,True,2024-05-23 13:53:03.000,2024.05.23,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +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 19:11:32.000,2024-05-23 13:52:56.000000,2024-05-23 13:52:56,355.0,26.0,244.0,87.0,197.0,6.0,5.0,3469.0,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",12.0,0,True,2024-05-23 13:53:03.000,2024.05.23,100.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2024-05-23 14:11:10.000000,2024-05-23 14:09:07,164935.0,4423.0,73940.0,7629.0,28661.0,2788.0,37288.0,185407.0,An Open Source Machine Learning Framework for Everyone.,4607.0,56,True,2024-03-09 00:23:14.000,2.16.1,193.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],379349.0,372059.0,https://pypi.org/project/tensorflow,2024-03-09 00:23:14.000,7290.0,22997608.0,24043379.0,https://anaconda.org/conda-forge/tensorflow,2024-05-23 12:11:35.590,4624242.0,https://hub.docker.com/r/tensorflow/tensorflow,2024-05-23 12:48:45.238455,2416.0,77189112.0,1.0,,,,,,,,,,,,,,,,,,,, +7,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2024-05-23 14:13:25.000000,2024-05-23 09:01:29,73368.0,3518.0,21135.0,1718.0,84545.0,13942.0,29089.0,78730.0,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,4864.0,55,True,2024-04-24 16:12:17.000,2.3.0,52.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],468125.0,451902.0,https://pypi.org/project/torch,2024-04-24 15:44:27.000,16223.0,29219045.0,29893125.0,https://anaconda.org/pytorch/pytorch,2024-04-23 12:59:17.451,21555998.0,,,,,1.0,41963.0,,,,,,,,,,,,,,,,,,, +8,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2024-05-23 14:24:06.000000,2024-05-23 14:01:29,15960.0,772.0,25033.0,1100.0,15789.0,1077.0,13990.0,126499.0,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",2584.0,52,True,2024-05-22 20:36:44.000,4.41.1,143.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",176667.0,171572.0,https://pypi.org/project/transformers,2024-05-22 20:36:40.000,5095.0,28158165.0,28194787.0,https://anaconda.org/conda-forge/transformers,2024-05-23 03:00:54.170,1684616.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +9,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 09:43:38.000,2024-05-23 13:37:23.000000,2024-05-22 14:24:48,31327.0,296.0,25019.0,2140.0,17221.0,2050.0,9327.0,58387.0,scikit-learn: machine learning in Python.,3120.0,52,True,2024-05-21 16:37:08.000,1.5.0,79.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],803100.0,781526.0,https://pypi.org/project/scikit-learn,2024-05-21 16:33:03.000,21574.0,67263217.0,67854744.0,https://anaconda.org/conda-forge/scikit-learn,2024-05-21 17:17:23.994,28392883.0,,,,,1.0,955.0,,,,,,,,,,,,,,,,,,, +10,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2024-05-23 14:56:28.000000,2024-05-23 08:33:03,32511.0,857.0,5034.0,346.0,10778.0,1821.0,8463.0,12539.0,"Ecosystem of open-source software for mathematics, science, and engineering.",1634.0,51,True,2024-05-23 04:06:33.000,1.13.1,102.0,scipy,conda-forge/scipy,,,,1042382.0,1001211.0,https://pypi.org/project/scipy,2024-05-23 03:19:01.000,41171.0,106550796.0,107700771.0,https://anaconda.org/conda-forge/scipy,2024-05-23 14:29:41.561,48139573.0,,,,,1.0,402355.0,1.0,,,,,,,,,,,,,,,,,, +11,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2024-05-23 07:35:34.000000,2024-05-22 21:24:34,10691.0,350.0,19347.0,1909.0,7194.0,190.0,11687.0,61072.0,Deep Learning for humans.,1299.0,48,True,2024-04-26 23:21:04.000,3.3.3,98.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],1322.0,,https://pypi.org/project/keras,2024-04-22 23:37:45.000,1322.0,18200753.0,18275084.0,https://anaconda.org/conda-forge/keras,2024-04-27 08:28:33.749,3493590.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +12,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,,2011-02-19 03:17:12.000,2024-05-23 09:58:21.000000,2024-05-23 08:33:21,50373.0,585.0,7424.0,594.0,18003.0,1546.0,9072.0,19423.0,matplotlib: plotting with Python.,1675.0,48,True,2024-05-15 23:51:33.000,3.9.0,124.0,matplotlib,conda-forge/matplotlib,,,,1243639.0,1199450.0,https://pypi.org/project/matplotlib,2024-05-15 23:37:04.000,44189.0,64889662.0,65393024.0,https://anaconda.org/conda-forge/matplotlib,2024-05-17 21:11:33.658,23658048.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +13,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2024-05-23 14:08:58.000000,2024-05-23 14:08:58,17812.0,566.0,2123.0,220.0,4836.0,117.0,3000.0,11776.0,Python Imaging Library (Fork).,468.0,48,True,2024-04-01 12:34:53.000,10.3.0,97.0,Pillow,conda-forge/pillow,,,,1673095.0,1668848.0,https://pypi.org/project/Pillow,2024-04-01 12:17:01.000,4247.0,97879031.0,98737143.0,https://anaconda.org/conda-forge/pillow,2024-04-03 15:56:48.771,39473158.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +14,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2024-05-23 13:20:44.000000,2024-05-20 21:27:44,57657.0,486.0,4307.0,295.0,13153.0,5028.0,8744.0,12475.0,A computer algebra system written in pure Python.,1304.0,47,True,2024-03-31 22:49:13.000,1.12.1rc1,55.0,sympy,conda-forge/sympy,,,,140540.0,137498.0,https://pypi.org/project/sympy,2024-03-31 22:48:43.000,3042.0,22102375.0,22164363.0,https://anaconda.org/conda-forge/sympy,2023-06-16 13:17:18.981,5550749.0,,,,,1.0,541863.0,,,,,,,,,,,,,,,,,,, +15,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2024-05-23 14:54:15.000000,2024-05-23 11:38:12,6342.0,211.0,2815.0,315.0,4496.0,823.0,3351.0,32313.0,Streamlit A faster way to build and share data apps.,230.0,46,True,2024-05-02 17:44:20.000,1.34.0,221.0,streamlit,,,,,388383.0,386104.0,https://pypi.org/project/streamlit,2024-05-02 17:44:12.000,2279.0,4648513.0,4648513.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +16,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2024-05-23 13:47:51.000000,2024-05-23 11:46:46,41103.0,1163.0,27972.0,2030.0,46688.0,199.0,,38557.0,Apache Spark Python API.,3067.0,45,True,2024-04-18 08:17:20.000,3.4.3,44.0,pyspark,conda-forge/pyspark,,,['spark'],1389.0,,https://pypi.org/project/pyspark,2024-04-18 08:17:20.000,1389.0,29032122.0,29099253.0,https://anaconda.org/conda-forge/pyspark,2024-03-03 13:07:40.821,3155193.0,,,,,1.0,,,stable/spark,,,,,,,,,,,,,,,,, +17,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2024-05-23 14:44:26.000000,2024-05-23 07:30:57,21694.0,940.0,5311.0,471.0,27701.0,3723.0,14291.0,31481.0,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,1020.0,45,True,2024-05-22 23:37:00.000,ray-2.23.0,106.0,ray,conda-forge/ray-tune,,,,16262.0,15574.0,https://pypi.org/project/ray,2024-05-22 22:51:23.000,688.0,4535791.0,4541221.0,https://anaconda.org/conda-forge/ray-tune,2024-05-23 14:37:18.453,222575.0,,,,,1.0,213.0,,,,,,,,,,,,,,,,,,, +18,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2024-05-23 14:14:04.000000,2024-05-23 13:40:34,20845.0,1325.0,2572.0,323.0,13601.0,1596.0,3863.0,28267.0,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",695.0,45,True,2024-05-09 23:28:46.000,jax-v0.4.28,162.0,jax,conda-forge/jaxlib,,,,27041.0,25509.0,https://pypi.org/project/jax,2024-05-09 23:23:10.000,1532.0,6782293.0,6807951.0,https://anaconda.org/conda-forge/jaxlib,2024-05-22 17:25:16.028,1205970.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +19,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2024-05-23 10:20:56.000000,2024-05-23 10:11:25,6861.0,95.0,8665.0,911.0,5157.0,443.0,4778.0,25653.0,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",640.0,45,True,2023-12-19 21:59:17.000,2.0.3,80.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,94041.0,92268.0,https://pypi.org/project/xgboost,2023-12-19 21:59:17.000,1773.0,19393250.0,19497988.0,https://anaconda.org/conda-forge/xgboost,2024-04-18 01:21:37.436,4814747.0,,,,,1.0,8589.0,,,,,,,,,,,,,,,,,,, +20,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2024-05-23 14:00:25.000000,2024-05-23 13:32:26,48489.0,1614.0,5439.0,722.0,46342.0,1859.0,17027.0,21663.0,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,1200.0,45,True,2024-04-09 11:19:43.000,2.6.1,67.0,paddlepaddle,,,,['paddle'],5257.0,5151.0,https://pypi.org/project/paddlepaddle,2024-03-19 06:55:39.000,106.0,208724.0,208889.0,,,,,,,,1.0,15374.0,,,,,,,,,,,,,,,,,,, +21,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2024-05-23 14:37:59.000000,2024-05-21 08:44:05,20497.0,103.0,4161.0,443.0,6077.0,777.0,6892.0,18897.0,"Interactive Data Visualization in the browser, from Python.",693.0,45,True,2024-04-11 21:02:24.000,3.4.1,202.0,bokeh,conda-forge/bokeh,,,,89558.0,87979.0,https://pypi.org/project/bokeh,2024-05-21 08:47:33.000,1579.0,4943530.0,5239955.0,https://anaconda.org/conda-forge/bokeh,2024-04-12 05:55:15.282,13931996.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +22,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2024-05-23 14:35:11.000000,2024-05-23 14:21:19,6646.0,319.0,2196.0,158.0,3751.0,503.0,3742.0,29640.0,"Wrap UIs around any model, share with anyone.",327.0,44,True,2024-05-21 21:10:16.000,4.31.5,568.0,gradio,,,,,31215.0,30655.0,https://pypi.org/project/gradio,2024-05-21 21:10:16.000,560.0,7271910.0,7271910.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +23,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2024-05-17 07:12:06.000000,2024-05-15 10:11:33,16131.0,14.0,4295.0,556.0,4001.0,117.0,5503.0,28916.0,Industrial-strength Natural Language Processing (NLP) in Python.,751.0,44,True,2024-02-15 19:16:59.000,3.7.4,230.0,spacy,conda-forge/spacy,,,,91176.0,88779.0,https://pypi.org/project/spacy,2024-04-22 09:55:45.000,2397.0,12871309.0,12944861.0,https://anaconda.org/conda-forge/spacy,2024-04-04 16:04:13.461,3456964.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +24,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/pytorch-lightning,https://github.com/Lightning-AI/pytorch-lightning,Apache-2.0,2019-03-31 00:45:57.000,2024-05-23 14:08:59.000000,2024-05-23 12:55:52,10300.0,125.0,3267.0,246.0,10117.0,739.0,6186.0,27115.0,"Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.",946.0,44,True,2024-05-22 17:36:29.000,2.2.5,272.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],33907.0,32549.0,https://pypi.org/project/pytorch-lightning,2024-05-22 17:36:29.000,1358.0,5244002.0,5268320.0,https://anaconda.org/conda-forge/pytorch-lightning,2024-04-12 18:53:30.868,1133159.0,,,,,2.0,7536.0,,,Lightning-AI/pytorch-lightning,,,,,,,,,,,,,,,, +25,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2024-05-23 14:20:18.000000,2024-05-23 11:51:40,5917.0,461.0,3959.0,289.0,8244.0,1472.0,2433.0,17454.0,Open source platform for the machine learning lifecycle.,728.0,44,True,2024-05-20 07:17:17.000,2.13.0,99.0,mlflow,conda-forge/mlflow,,,,36365.0,35590.0,https://pypi.org/project/mlflow,2024-05-20 00:48:19.000,775.0,14526638.0,14568125.0,https://anaconda.org/conda-forge/mlflow,2024-05-21 13:49:18.783,1949895.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +26,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2024-05-17 15:59:53.000000,2024-05-13 19:25:31,6490.0,111.0,2487.0,278.0,1639.0,1509.0,1413.0,15411.0,The interactive graphing library for Python This project now includes Plotly Express!.,263.0,44,True,2024-05-01 14:04:11.000,5.22.0,298.0,plotly,conda-forge/plotly,,,,273093.0,267600.0,https://pypi.org/project/plotly,2024-05-01 14:00:07.000,5484.0,16293214.0,16425540.0,https://anaconda.org/conda-forge/plotly,2024-05-04 13:44:40.868,5848100.0,,,,,1.0,,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,9.0,10491.0,,,,,,,,,,, +27,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2024-05-23 04:28:02.000000,2024-05-22 18:01:42,7689.0,85.0,3141.0,282.0,3765.0,331.0,2990.0,14278.0,Network Analysis in Python.,718.0,44,True,2024-04-06 13:09:07.000,networkx-3.3,94.0,networkx,conda-forge/networkx,,,,263480.0,255084.0,https://pypi.org/project/networkx,2024-04-06 12:59:44.000,8396.0,54098628.0,54450670.0,https://anaconda.org/conda-forge/networkx,2024-04-08 01:42:36.044,15841911.0,,,,,1.0,71.0,,,,,,,,,,,,,,,,,,, +28,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2024-05-23 08:15:23.000000,2024-05-22 09:02:20,8203.0,94.0,1674.0,211.0,5835.0,1066.0,4170.0,12076.0,Parallel computing with task scheduling.,600.0,44,True,2024-05-17 20:18:01.000,2024.5.1,197.0,dask,conda-forge/dask,,,,62554.0,60446.0,https://pypi.org/project/dask,2024-05-17 20:12:49.000,2108.0,8466180.0,8698451.0,https://anaconda.org/conda-forge/dask,2024-05-18 02:42:15.720,11149032.0,,,,,1.0,,,stable/dask,,,,,,,,,,,,,,,,, +29,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2024-05-23 07:54:30.000000,2024-05-22 21:35:20,4894.0,222.0,2044.0,1683.0,4747.0,294.0,2689.0,11789.0,WebGL2 powered visualization framework.,263.0,44,True,2024-05-10 15:36:17.000,0.9.1,655.0,pydeck,conda-forge/pydeck,,,['jupyter'],7983.0,7607.0,https://pypi.org/project/pydeck,2024-05-10 15:36:17.000,87.0,3686796.0,4152298.0,https://anaconda.org/conda-forge/pydeck,2023-06-16 19:17:51.392,522218.0,,,,,1.0,,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2024-05-06 07:39:07.905,289.0,455263.0,,,,,,,,,,, +30,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2024-05-21 00:51:24.000000,2024-05-14 16:08:22,15325.0,38.0,2824.0,280.0,3884.0,2780.0,2755.0,9617.0,Statsmodels: statistical modeling and econometrics in Python.,426.0,44,True,2024-04-17 08:41:57.000,0.14.2,37.0,statsmodels,conda-forge/statsmodels,,,,128304.0,124342.0,https://pypi.org/project/statsmodels,2024-04-17 08:41:57.000,3962.0,16744170.0,17024154.0,https://anaconda.org/conda-forge/statsmodels,2024-05-17 10:41:00.825,13159279.0,,,,,2.0,31.0,-1.0,,,,,,,,,,,,,,,,,, +31,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2024-05-21 23:34:27.000000,2024-05-21 23:34:27,5833.0,62.0,1629.0,192.0,4999.0,663.0,1231.0,6570.0,TensorFlows Visualization Toolkit.,320.0,44,True,2024-02-16 19:56:55.000,2.16.2,60.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],237726.0,235742.0,https://pypi.org/project/tensorboard,2024-02-16 19:56:55.000,1984.0,28629949.0,28729531.0,https://anaconda.org/conda-forge/tensorboard,2024-02-18 19:53:36.212,4680377.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +32,shap,slundberg/shap,interpretability,,https://github.com/shap/shap,https://github.com/shap/shap,MIT,2016-11-22 19:17:08.000,2024-05-22 13:41:57.000000,2024-05-14 18:39:29,2657.0,45.0,3172.0,240.0,865.0,818.0,1640.0,21798.0,A game theoretic approach to explain the output of any machine learning model.,239.0,43,True,2024-05-07 11:40:34.000,0.45.1,103.0,shap,conda-forge/shap,,,,18285.0,17610.0,https://pypi.org/project/shap,2024-05-07 11:40:34.000,675.0,6861614.0,6930639.0,https://anaconda.org/conda-forge/shap,2024-05-08 21:55:59.406,2830059.0,,,,,1.0,,,,shap/shap,,,,,,,,,,,,,,,, +33,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2024-05-23 12:48:10.000000,2024-05-23 05:41:30,2734.0,70.0,3607.0,437.0,3217.0,316.0,2425.0,16987.0,Open standard for machine learning interoperability.,317.0,43,True,2024-03-25 15:40:18.000,1.16.0,32.0,onnx,conda-forge/onnx,,,,28882.0,27962.0,https://pypi.org/project/onnx,2024-03-25 15:25:07.000,920.0,5663273.0,5684854.0,https://anaconda.org/conda-forge/onnx,2024-05-17 14:14:18.371,1002097.0,,,,,1.0,20610.0,,,,,,,,,,,,,,,,,,, +34,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2024-05-23 03:03:55.000000,2024-05-23 02:03:55,3472.0,43.0,3773.0,435.0,3138.0,383.0,2969.0,16142.0,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",302.0,43,True,2024-01-26 03:29:02.000,4.3.0,36.0,lightgbm,conda-forge/lightgbm,,,,34103.0,33095.0,https://pypi.org/project/lightgbm,2024-01-26 03:29:02.000,1008.0,7681382.0,7736549.0,https://anaconda.org/conda-forge/lightgbm,2024-01-26 13:26:41.503,2312080.0,,,,,2.0,222764.0,,,,,,,,,,,,,,,,,,, +35,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2024-05-20 19:20:08.000000,2024-04-25 14:36:49,3234.0,5.0,1862.0,260.0,1107.0,150.0,2368.0,12018.0,Statistical data visualization in Python.,212.0,43,True,2024-01-25 13:21:49.000,0.13.2,37.0,seaborn,conda-forge/seaborn,,,,419266.0,409756.0,https://pypi.org/project/seaborn,2024-01-25 13:21:49.000,9510.0,17476263.0,17663359.0,https://anaconda.org/conda-forge/seaborn,2024-04-30 16:33:12.611,8793373.0,,,,,1.0,392.0,,,,,,,,,,,,,,,,,,, +36,triton,openai/triton,model-serialisation,,https://github.com/triton-lang/triton,https://github.com/triton-lang/triton,MIT,2014-08-30 17:07:16.000,2024-05-23 15:09:24.000000,2024-05-23 15:09:24,2277.0,518.0,1303.0,182.0,2641.0,545.0,690.0,11397.0,Development repository for the Triton language and compiler.,263.0,43,True,2024-04-05 02:47:42.000,2.3.0,193.0,triton,,,,,26272.0,26100.0,https://pypi.org/project/triton,2024-04-05 02:47:42.000,172.0,12254415.0,12254415.0,,,,,,,,1.0,,,,triton-lang/triton,,,,,,,,,,,,,,,, +37,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2024-05-15 19:22:03.000000,2024-05-15 19:22:03,7479.0,192.0,1991.0,419.0,1065.0,829.0,918.0,20638.0,Data Apps & Dashboards for Python. No JavaScript Required.,154.0,42,True,2024-05-03 17:00:38.000,2.17.0,178.0,dash,conda-forge/dash,,,,64435.0,63282.0,https://pypi.org/project/dash,2024-05-03 16:56:05.000,1153.0,2926935.0,2954484.0,https://anaconda.org/conda-forge/dash,2024-05-04 04:54:12.137,1294762.0,,,,,1.0,72.0,,,,,,,,,,,,,,,,,,, +38,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2024-05-23 11:59:04.000000,2024-05-20 14:26:43,3851.0,59.0,6848.0,415.0,5262.0,995.0,2376.0,15548.0,"Datasets, Transforms and Models specific to Computer Vision.",587.0,42,True,2024-04-24 16:20:12.000,0.18.0,44.0,torchvision,conda-forge/torchvision,,,['pytorch'],4911.0,21.0,https://pypi.org/project/torchvision,2024-04-24 15:47:57.000,4890.0,13857592.0,13887984.0,https://anaconda.org/conda-forge/torchvision,2024-05-16 09:07:24.923,1138068.0,,,,,1.0,37717.0,,,,,,,,,,,,,,,,,,, +39,litellm,BerriAI/litellm,nlp,,https://github.com/BerriAI/litellm,https://github.com/BerriAI/litellm,MIT,2023-07-27 00:09:52.000,2024-05-23 09:19:00.000000,2024-05-23 04:11:00,11958.0,4192.0,993.0,60.0,1410.0,574.0,1792.0,9084.0,"Call all LLM APIs using the OpenAI format. Use Bedrock, Azure, OpenAI, Cohere, Anthropic, Ollama, Sagemaker,..",232.0,42,True,2024-05-23 03:48:47.000,1.38.0,811.0,litellm,,,,others,2019.0,1827.0,https://pypi.org/project/litellm,2024-05-23 03:36:23.000,192.0,599977.0,600231.0,,,,,,,,1.0,254.0,,,,,,,,,,,,,,,,,,, +40,Altair,altair-viz/altair,data-viz,,https://github.com/vega/altair,https://github.com/vega/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2024-05-23 09:47:43.000000,2024-05-18 08:08:27,3665.0,42.0,765.0,141.0,1362.0,169.0,1778.0,8974.0,Declarative statistical visualization library for Python.,163.0,42,True,2024-03-30 15:36:52.000,5.3.0,40.0,altair,conda-forge/altair,,,,133069.0,132309.0,https://pypi.org/project/altair,2024-03-30 15:24:57.000,760.0,24140969.0,24218534.0,https://anaconda.org/conda-forge/altair,2024-03-30 18:57:22.082,2249367.0,,,,,1.0,123.0,1.0,,vega/altair,,,,,,,,,,,,,,,, +41,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2024-05-23 03:03:53.000000,2024-05-23 02:56:36,6536.0,390.0,611.0,54.0,4560.0,822.0,2310.0,8345.0,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,177.0,42,True,2024-05-07 23:10:29.000,0.17.0,274.0,wandb,conda-forge/wandb,,,,47050.0,45829.0,https://pypi.org/project/wandb,2024-05-07 22:08:37.000,1221.0,13544201.0,13555203.0,https://anaconda.org/conda-forge/wandb,2024-03-25 23:14:36.046,506128.0,,,,,1.0,,,,wandb/wandb,,,,,,,,,,,,,,,, +42,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,,2011-07-07 22:07:20.000,2024-05-21 16:08:00.000000,2024-05-14 17:31:17,13977.0,106.0,2198.0,187.0,4411.0,773.0,2075.0,5902.0,Image processing in Python.,660.0,42,False,2024-04-20 19:25:20.000,0.23.2,65.0,scikit-image,conda-forge/scikit-image,,,,187496.0,181971.0,https://pypi.org/project/scikit-image,2024-04-20 19:25:20.000,5525.0,12699670.0,12832978.0,https://anaconda.org/conda-forge/scikit-image,2023-10-11 16:58:18.971,6265504.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +43,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,Apache-2.0,2020-01-23 18:35:18.000,2024-05-23 02:29:36.000000,2024-05-22 21:52:39,2308.0,136.0,3870.0,335.0,2731.0,1067.0,1620.0,33091.0,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",313.0,41,True,2024-04-23 23:26:47.000,0.14.2,90.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],7296.0,7137.0,https://pypi.org/project/deepspeed,2024-04-23 23:26:47.000,159.0,522238.0,522584.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,4.0,18003.0,1.0,,,,,,,,,,,,,,,,,,,, +44,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 05:51:12.000,2024-05-22 21:34:46.000000,2024-05-22 21:33:39,2267.0,95.0,4593.0,308.0,474.0,64.0,806.0,30119.0,"The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and..",139.0,41,True,2024-05-15 18:19:44.000,1.0.3,57.0,timm,conda-forge/timm,,,['pytorch'],29612.0,28866.0,https://pypi.org/project/timm,2024-05-15 18:16:15.000,746.0,5259201.0,5372331.0,https://anaconda.org/conda-forge/timm,2024-05-16 07:02:45.732,153524.0,,,,,1.0,6587616.0,,,huggingface/pytorch-image-models,,,,,,,,,,,,,,,, +45,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2024-05-23 14:53:55.000000,2024-05-23 12:03:40,19893.0,775.0,2596.0,273.0,20527.0,723.0,10186.0,27413.0,"A cloud-native vector database, storage for next generation AI applications.",273.0,41,True,2024-05-23 03:54:58.000,2.3.16,96.0,pymilvus,,milvusdb/milvus,,,120.0,,https://pypi.org/project/pymilvus,2024-05-17 04:01:58.000,120.0,501763.0,775939.0,,,,https://hub.docker.com/r/milvusdb/milvus,2024-05-23 14:17:54.023720,44.0,15129021.0,1.0,220861.0,,,,,,,,,,,,,,,,,,, +46,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2024-05-23 14:32:12.000000,2024-05-22 13:48:55,1390.0,58.0,2322.0,132.0,425.0,1049.0,931.0,14018.0,Multilingual Sentence & Image Embeddings with BERT.,162.0,41,True,2024-04-17 13:16:06.000,2.7.0,51.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],34723.0,33495.0,https://pypi.org/project/sentence-transformers,2024-04-17 13:15:42.000,1228.0,4260565.0,4266299.0,https://anaconda.org/conda-forge/sentence-transformers,2024-04-17 14:59:51.983,252299.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +47,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2024-05-23 14:48:28.000000,2024-05-22 12:21:55,9265.0,74.0,1145.0,140.0,5447.0,216.0,4416.0,13223.0,ML Experiments and Data Management with Git.,296.0,41,True,2024-05-23 14:48:28.000,3.50.3,524.0,dvc,conda-forge/dvc,,,,15329.0,15214.0,https://pypi.org/project/dvc,2024-05-13 17:26:59.000,115.0,497610.0,540831.0,https://anaconda.org/conda-forge/dvc,2024-05-14 07:22:35.709,1872762.0,,,,,1.0,40509.0,,,,,,,,,dvc,dvc,dvc,,,,,,,, +48,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2024-05-22 16:53:07.000000,2024-04-05 06:11:40,14511.0,2.0,2821.0,463.0,1457.0,272.0,1517.0,13104.0,Suite of libraries and programs for symbolic and statistical natural language processing for English.,454.0,41,True,2023-07-20 15:52:53.307,0.9.9,59.0,nltk,conda-forge/nltk,,,,279839.0,275686.0,https://pypi.org/project/nltk,2023-07-20 15:52:53.307,4153.0,21625247.0,21652597.0,https://anaconda.org/conda-forge/nltk,2023-06-16 13:20:53.756,2543611.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +49,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2024-05-18 11:08:05.245000,2024-05-12 00:07:36,8263.0,25.0,3323.0,478.0,705.0,48.0,2143.0,13090.0,A toolkit for making real world machine learning and data analysis applications in C++.,195.0,41,False,2024-04-03 23:33:43.000,19.24.4,37.0,dlib,conda-forge/dlib,,,,27445.0,27245.0,https://pypi.org/project/dlib,2024-04-03 23:33:43.000,200.0,480670.0,495975.0,https://anaconda.org/conda-forge/dlib,2024-05-18 11:08:05.245,708229.0,,,,,2.0,25435.0,,,,,,,,,,,,,,,,,,, +50,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2024-05-23 08:39:31.000000,2024-05-23 08:39:27,47956.0,479.0,1148.0,192.0,388.0,507.0,1758.0,7795.0,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1234.0,41,True,2024-04-18 20:19:33.000,1.2.5,111.0,catboost,conda-forge/catboost,,,,400.0,14.0,https://pypi.org/project/catboost,2024-04-18 18:24:32.000,386.0,2098763.0,2137867.0,https://anaconda.org/conda-forge/catboost,2024-04-18 20:39:24.300,1509990.0,,,,,2.0,252186.0,,,,,,,,,,,,,,,,,,, +51,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2024-05-02 16:09:06.000000,2023-01-30 18:15:21,1757.0,,8557.0,1062.0,1452.0,92.0,1721.0,33990.0,A toolkit for developing and comparing reinforcement learning algorithms.,383.0,40,False,2023-07-20 15:30:49.667,0.0.1,108.0,gym,conda-forge/gym,,,,54936.0,53430.0,https://pypi.org/project/gym,2023-07-20 15:30:49.667,1506.0,438665.0,444389.0,https://anaconda.org/conda-forge/gym,2023-06-16 19:18:41.854,280523.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +52,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2024-05-23 14:51:07.000000,2024-05-23 14:47:33,1118.0,96.0,3409.0,474.0,997.0,452.0,1940.0,28610.0,A library for efficient similarity search and clustering of dense vectors.,175.0,40,True,2024-05-17 04:01:58.000,2.4.3,96.0,pymilvus,conda-forge/faiss,,,,3776.0,3656.0,https://pypi.org/project/pymilvus,2024-05-17 04:01:58.000,120.0,501763.0,526638.0,https://anaconda.org/conda-forge/faiss,2023-06-16 19:19:09.201,1194047.0,,,,,1.0,,1.0,,,,,,,,,,,,,,,,,, +53,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2024-04-27 22:14:28.000000,2024-04-27 22:14:00,2765.0,18.0,7515.0,611.0,2225.0,216.0,1590.0,25711.0,The fastai deep learning library.,667.0,40,True,2024-04-27 22:14:28.000,2.7.15,149.0,fastai,,,,['pytorch'],17614.0,17325.0,https://pypi.org/project/fastai,2024-04-27 22:14:28.000,289.0,364828.0,364828.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +54,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2024-05-20 18:16:25.000000,2024-05-19 16:25:01,1225.0,39.0,2210.0,238.0,557.0,152.0,1139.0,12035.0,Download market data from Yahoo! Finances API.,112.0,40,True,2024-05-19 16:28:00.000,0.2.40,112.0,yfinance,ranaroussi/yfinance,,,,39076.0,38521.0,https://pypi.org/project/yfinance,2024-05-19 16:28:00.000,555.0,1466555.0,1469225.0,https://anaconda.org/ranaroussi/yfinance,2023-06-16 19:26:44.442,90791.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +55,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2024-05-23 13:23:34.000000,2024-05-06 09:49:38,1773.0,14.0,726.0,120.0,590.0,81.0,887.0,8531.0,Fast State-of-the-Art Tokenizers optimized for Research and Production.,87.0,40,True,2024-04-17 21:37:50.000,0.19.1,95.0,tokenizers,conda-forge/tokenizers,,,,78908.0,78169.0,https://pypi.org/project/tokenizers,2024-04-17 21:36:02.000,739.0,26168423.0,26203887.0,https://anaconda.org/conda-forge/tokenizers,2024-04-18 01:39:43.525,1631346.0,,,,,1.0,47.0,,,,,,,,,,,,,,,,,,, +56,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2024-05-23 10:55:32.000000,2024-05-23 10:55:32,9881.0,119.0,1928.0,225.0,3940.0,278.0,3018.0,8219.0,Bayesian Modeling and Probabilistic Programming in Python.,492.0,40,True,2024-05-13 14:33:39.000,5.15.0,84.0,pymc3,conda-forge/pymc3,,,,191.0,,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,191.0,859223.0,865427.0,https://anaconda.org/conda-forge/pymc3,2023-06-16 13:23:30.938,563143.0,,,,,1.0,1939.0,-1.0,,,,,,,,,,,,,,,,,, +57,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2024-05-23 14:55:52.000000,2024-05-23 14:55:52,1440.0,150.0,809.0,96.0,1390.0,135.0,1291.0,7119.0,"A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic..",253.0,40,True,2024-05-10 17:47:54.000,0.30.1,51.0,accelerate,conda-forge/accelerate,,,['pytorch'],38019.0,36926.0,https://pypi.org/project/accelerate,2024-05-10 17:41:43.000,1093.0,8644717.0,8649109.0,https://anaconda.org/conda-forge/accelerate,2024-05-11 15:02:26.384,136180.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +58,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2024-05-23 12:54:22.000000,2024-05-23 12:49:32,1853.0,71.0,2208.0,163.0,850.0,87.0,1016.0,6706.0,Python Data. Leaflet.js Maps.,167.0,40,True,2024-02-29 08:58:17.000,0.16.0,31.0,folium,conda-forge/folium,,,,38296.0,37655.0,https://pypi.org/project/folium,2024-02-29 08:58:17.000,641.0,1249826.0,1318045.0,https://anaconda.org/conda-forge/folium,2024-02-29 12:23:49.642,2728783.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +59,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2024-05-23 12:51:09.000000,2024-05-23 12:50:39,1959.0,75.0,895.0,105.0,1618.0,436.0,1225.0,4237.0,Python tools for geographic data.,223.0,40,True,2024-04-28 13:49:29.000,0.14.4,54.0,geopandas,conda-forge/geopandas,,,['pandas'],37795.0,35372.0,https://pypi.org/project/geopandas,2024-04-28 13:49:24.000,2423.0,6197979.0,6274766.0,https://anaconda.org/conda-forge/geopandas,2024-04-28 20:22:12.956,3607737.0,,,,,1.0,2538.0,,,,,,,,,,,,,,,,,,, +60,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2024-05-23 12:34:17.000000,2024-05-23 12:34:07,6289.0,111.0,1515.0,106.0,4265.0,675.0,724.0,4210.0,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",306.0,40,True,2023-12-18 13:28:11.000,4.9.4,37.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],17996.0,17691.0,https://pypi.org/project/tensorflow-datasets,2023-12-18 13:28:06.000,305.0,4357502.0,4358319.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-06-16 19:25:46.849,29445.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +61,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 01:03:33.000,2024-05-23 14:33:16.000000,2024-05-22 22:51:20,3687.0,167.0,1096.0,136.0,3049.0,291.0,1191.0,2053.0,A library for training and deploying machine learning models on Amazon SageMaker.,439.0,40,True,2024-05-22 22:51:24.000,2.221.1,588.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",4116.0,3983.0,https://pypi.org/project/sagemaker,2024-05-22 22:51:24.000,133.0,24501217.0,24518828.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2024-05-23 04:49:38.975,792507.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +62,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2024-05-23 08:13:41.000000,2024-05-22 17:45:58,5762.0,64.0,710.0,54.0,5005.0,1519.0,2331.0,1544.0,A distributed task scheduler for Dask.,324.0,40,True,2024-05-17 20:12:56.000,2024.5.1,229.0,distributed,conda-forge/distributed,,,,35200.0,34458.0,https://pypi.org/project/distributed,2024-05-17 20:12:56.000,742.0,3935353.0,4220385.0,https://anaconda.org/conda-forge/distributed,2024-05-17 21:36:49.014,13681546.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +63,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2024-05-21 12:05:26.000000,2024-03-21 15:05:22,32610.0,6.0,4534.0,350.0,6359.0,117.0,6642.0,18075.0,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",593.0,39,True,2024-04-18 15:06:29.000,3.6.20,373.0,rasa,,,,['tensorflow'],4220.0,4161.0,https://pypi.org/project/rasa,2024-04-18 15:06:12.000,59.0,113934.0,113934.0,,,,,,,,1.0,,-1.0,,,,,,,,,,,,,,,,,, +64,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/piskvorky/gensim,https://github.com/piskvorky/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2024-05-18 12:34:14.000000,2024-05-18 12:34:14,4516.0,4.0,4346.0,435.0,1692.0,381.0,1454.0,15314.0,Topic Modelling for Humans.,452.0,39,True,2023-08-24 08:48:21.000,4.3.2,93.0,gensim,conda-forge/gensim,,,,61013.0,59708.0,https://pypi.org/project/gensim,2023-08-24 08:48:21.000,1305.0,5278363.0,5311554.0,https://anaconda.org/conda-forge/gensim,2024-02-08 03:02:42.101,1259617.0,,,,,1.0,4557.0,,,piskvorky/gensim,,,,,,,,,,,,,,,, +65,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2024-05-22 12:00:30.000000,2024-05-03 17:11:18,5942.0,44.0,2064.0,202.0,1190.0,83.0,2189.0,13620.0,A very simple framework for state-of-the-art Natural Language Processing (NLP).,261.0,39,True,2023-12-18 09:34:55.000,0.13.1,32.0,flair,conda-forge/python-flair,,,['pytorch'],3389.0,3260.0,https://pypi.org/project/flair,2023-12-18 09:34:55.000,129.0,228176.0,228713.0,https://anaconda.org/conda-forge/python-flair,2024-01-05 20:59:40.138,24704.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +66,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,,2018-02-21 06:12:56.000,2024-05-23 09:12:18.000000,2024-05-23 09:12:18,17652.0,428.0,952.0,117.0,3516.0,102.0,1538.0,9804.0,A hyperparameter optimization framework.,264.0,39,False,2024-04-01 06:04:15.000,3.6.1,64.0,optuna,conda-forge/optuna,,,,15457.0,14636.0,https://pypi.org/project/optuna,2024-04-01 06:04:15.000,821.0,2608938.0,2629752.0,https://anaconda.org/conda-forge/optuna,2024-03-29 06:40:40.525,978302.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +67,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2024-05-23 12:53:38.000000,2024-05-23 08:39:51,4531.0,226.0,1285.0,103.0,3765.0,824.0,1466.0,7466.0,A unified framework for machine learning with time series.,358.0,39,True,2024-05-01 13:08:23.000,0.29.0,67.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],2787.0,2678.0,https://pypi.org/project/sktime,2024-05-01 13:08:23.000,109.0,893423.0,921526.0,https://anaconda.org/conda-forge/sktime-all-extras,2024-05-04 19:43:57.141,955491.0,,,,,1.0,91.0,,,sktime/sktime,,,,,,,,,,,,,,,, +68,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2024-05-23 08:42:18.000000,2024-05-22 09:26:09,4431.0,220.0,593.0,83.0,2372.0,221.0,705.0,5590.0,Flax is a neural network library for JAX that is designed for flexibility.,220.0,39,True,2024-04-30 09:57:17.000,0.8.3,44.0,flax,conda-forge/flax,,,['jax'],7836.0,7444.0,https://pypi.org/project/flax,2024-04-30 09:57:17.000,392.0,4265387.0,4266692.0,https://anaconda.org/conda-forge/flax,2024-04-30 18:49:11.574,49585.0,,,,,2.0,51.0,,,,,,,,,,,,,,,,,,, +69,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2024-05-20 22:07:13.000000,2024-05-14 08:55:08,2267.0,20.0,555.0,88.0,822.0,272.0,918.0,3697.0,Manipulation and analysis of geometric objects.,153.0,39,True,2024-04-16 22:26:21.000,2.0.4,123.0,shapely,conda-forge/shapely,,,,71872.0,69334.0,https://pypi.org/project/shapely,2024-04-16 22:26:21.000,2538.0,25309279.0,25517279.0,https://anaconda.org/conda-forge/shapely,2024-05-16 17:07:32.339,9355203.0,,,,,2.0,3333.0,,,,,,,,,,,,,,,,,,, +70,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 03:31:13.000,2024-05-21 18:39:16.000000,2024-05-21 17:47:22,17978.0,119.0,1286.0,83.0,7838.0,530.0,4291.0,2574.0,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,371.0,39,True,2024-04-19 18:04:01.000,1.7.0,78.0,mne,conda-forge/mne,,,,4210.0,3865.0,https://pypi.org/project/mne,2024-04-19 18:04:01.000,345.0,118878.0,126495.0,https://anaconda.org/conda-forge/mne,2024-04-19 20:25:11.111,365650.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +71,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2024-05-23 13:43:18.000000,2024-05-22 06:21:48,6172.0,38.0,7245.0,427.0,2903.0,1207.0,8086.0,39134.0,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",195.0,38,True,2024-03-29 09:49:07.000,2.7.5,44.0,paddleocr,,,,['paddle'],2658.0,2612.0,https://pypi.org/project/paddleocr,2024-03-29 09:49:07.000,46.0,166850.0,166850.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +72,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2024-05-20 13:14:57.000000,2024-02-05 13:23:18,2706.0,,9204.0,369.0,3140.0,1566.0,6667.0,28065.0,OpenMMLab Detection Toolbox and Benchmark.,480.0,38,True,2024-01-05 06:25:30.000,3.3.0,53.0,mmdet,,,,['pytorch'],2580.0,2516.0,https://pypi.org/project/mmdet,2024-01-05 06:25:30.000,64.0,194731.0,194731.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +73,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2024-05-23 14:12:15.000000,2024-05-23 14:12:14,35344.0,402.0,12994.0,945.0,24819.0,1187.0,,23285.0,Apache Flink Python API.,1861.0,38,True,2024-01-15 16:28:13.000,1.18.1,47.0,apache-flink,,,,,45.0,21.0,https://pypi.org/project/apache-flink,2024-03-15 08:32:38.000,24.0,78219.0,78219.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +74,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-10-25 21:28:33.000000,2023-01-26 21:28:45,11896.0,,6813.0,1070.0,11124.0,1805.0,7758.0,20724.0,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",982.0,38,False,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],7415.0,7293.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,116.0,579310.0,579729.0,https://anaconda.org/anaconda/mxnet,2023-06-16 13:24:22.589,10772.0,,,,,2.0,26911.0,,,apache/mxnet,,,,,,,,,6.0,,,,,,, +75,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 16:03:03.000,2024-05-23 06:31:46.000000,2024-05-23 06:30:25,7526.0,135.0,3542.0,255.0,2995.0,970.0,2611.0,20316.0,Graph Neural Network Library for PyTorch.,495.0,38,True,2024-04-19 11:59:51.000,2.5.3,44.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],247.0,,https://pypi.org/project/torch-geometric,2024-04-19 11:59:51.000,247.0,286894.0,287806.0,https://anaconda.org/conda-forge/pytorch_geometric,2024-05-04 18:04:48.733,41974.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +76,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2024-05-16 16:09:03.000000,2024-05-16 10:39:34,8540.0,24.0,2187.0,208.0,4174.0,22.0,1925.0,20218.0,Build multimodal AI applications with cloud-native stack.,176.0,38,True,2024-04-10 14:42:19.000,3.25.1,2461.0,jina,conda-forge/jina-core,jinaai/jina,,,1751.0,1724.0,https://pypi.org/project/jina,2024-04-10 14:39:06.000,27.0,31388.0,59008.0,https://anaconda.org/conda-forge/jina-core,2023-06-16 19:27:18.682,63816.0,https://hub.docker.com/r/jinaai/jina,2024-05-16 11:00:01.190646,8.0,1306947.0,2.0,,-1.0,,,,,,,,,,,,,,,,,, +77,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2024-05-23 08:57:49.000000,2024-05-21 22:12:59,886.0,86.0,1593.0,129.0,784.0,426.0,520.0,13539.0,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,142.0,38,True,2024-05-14 00:43:00.000,1.4.7,61.0,albumentations,conda-forge/albumentations,,,['pytorch'],24084.0,23577.0,https://pypi.org/project/albumentations,2024-05-04 05:34:03.000,507.0,2148731.0,2152331.0,https://anaconda.org/conda-forge/albumentations,2024-03-05 20:01:04.905,165619.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +78,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2024-05-23 03:51:39.000000,2024-05-23 03:51:38,4111.0,150.0,2963.0,168.0,4721.0,512.0,2296.0,13069.0,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",289.0,38,True,2024-05-13 01:10:39.000,2.2.1,453.0,dgl,,,,,367.0,240.0,https://pypi.org/project/dgl,2024-05-13 01:10:39.000,127.0,103408.0,103408.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +79,pandas-profiling,ydataai/pandas-profiling,data-viz,,https://github.com/ydataai/ydata-profiling,https://github.com/ydataai/ydata-profiling,MIT,2016-01-09 23:47:55.000,2024-05-23 11:32:24.000000,2024-05-23 11:31:24,1445.0,68.0,1633.0,151.0,782.0,218.0,561.0,12110.0,1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.,123.0,38,True,2024-05-07 19:57:59.000,4.8.3,61.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",3383.0,3201.0,https://pypi.org/project/pandas-profiling,2023-02-03 17:59:40.571,182.0,793601.0,798247.0,https://anaconda.org/conda-forge/pandas-profiling,2023-06-16 13:22:30.453,432146.0,,,,,2.0,97.0,,,ydataai/ydata-profiling,,,,,,,,,,,,,,,, +80,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2024-01-15 03:16:24.000000,2024-01-15 03:16:24,28133.0,,2511.0,541.0,4118.0,685.0,2087.0,9856.0,"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,,,,15237.0,15065.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,172.0,538677.0,564305.0,https://anaconda.org/conda-forge/theano,2023-06-16 13:23:49.668,2409047.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +81,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2024-05-23 11:46:20.000000,2024-05-22 06:38:53,957.0,23.0,1116.0,123.0,291.0,25.0,696.0,9626.0,Unsupervised text tokenizer for Neural Network-based text generation.,87.0,38,True,2024-02-19 17:03:42.000,0.2.0,35.0,sentencepiece,conda-forge/sentencepiece,,,,66985.0,65457.0,https://pypi.org/project/sentencepiece,2024-02-19 17:03:42.000,1528.0,22258387.0,22276269.0,https://anaconda.org/conda-forge/sentencepiece,2024-03-19 05:24:18.341,797884.0,,,,,1.0,37086.0,,,,,,,,,,,,,,,,,,, +82,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2024-05-22 09:52:28.000000,2024-05-22 09:52:28,2743.0,65.0,937.0,129.0,1865.0,269.0,638.0,9482.0,Geometric Computer Vision Library for Spatial AI.,262.0,38,True,2024-03-14 09:18:15.000,0.7.2,39.0,kornia,conda-forge/kornia,,,['pytorch'],10091.0,9852.0,https://pypi.org/project/kornia,2024-03-14 09:18:15.000,239.0,1437726.0,1440781.0,https://anaconda.org/conda-forge/kornia,2024-02-20 17:25:27.727,124635.0,,,,,1.0,1110.0,,,,,,,,,,,,,,,,,,, +83,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2024-05-03 20:31:35.000000,2024-04-28 18:44:58,5223.0,56.0,1723.0,131.0,992.0,350.0,1934.0,8531.0,"An open-source, low-code machine learning library in Python.",136.0,38,True,2024-04-28 18:46:27.000,3.3.2,98.0,pycaret,conda-forge/pycaret,,,,5731.0,5701.0,https://pypi.org/project/pycaret,2024-04-28 18:46:21.000,30.0,357071.0,358107.0,https://anaconda.org/conda-forge/pycaret,2024-04-25 15:07:46.052,45952.0,,,,,2.0,694.0,,,,,,,,,,,,,,,,,,, +84,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2024-05-22 08:48:05.000000,2024-05-22 08:48:04,9814.0,140.0,1279.0,128.0,1200.0,124.0,948.0,7998.0,A PyTorch-based Speech Toolkit.,234.0,38,True,2024-02-26 20:55:33.000,1.0.0,16.0,speechbrain,,,,['pytorch'],1905.0,1874.0,https://pypi.org/project/speechbrain,2024-02-26 20:55:33.000,31.0,2498959.0,2498959.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +85,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2024-05-23 14:01:35.000000,2024-05-22 17:19:24,21277.0,395.0,2100.0,175.0,3285.0,310.0,2068.0,7962.0,End-to-End Speech Processing Toolkit.,425.0,38,True,2024-02-06 03:28:17.000,.202402,52.0,espnet,,,,,339.0,327.0,https://pypi.org/project/espnet,2024-02-06 03:28:41.000,12.0,65275.0,65276.0,,,,,,,,1.0,79.0,,,,,,,,,,,,,,,,,,, +86,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2024-05-15 18:29:05.000000,2024-05-15 18:29:03,12139.0,55.0,1075.0,164.0,463.0,669.0,746.0,4140.0,Probabilistic reasoning and statistical analysis in TensorFlow.,493.0,38,True,2024-03-12 19:43:46.000,0.24.0,52.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],564.0,,https://pypi.org/project/tensorflow-probability,2024-03-12 19:43:39.000,564.0,3959716.0,3962979.0,https://anaconda.org/conda-forge/tensorflow-probability,2024-01-09 01:12:57.968,127273.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +87,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2024-05-23 14:20:44.000000,2024-05-23 10:00:16,10767.0,59.0,394.0,60.0,2989.0,1079.0,2178.0,2637.0,"With Holoviews, your data visualizes itself.",141.0,38,True,2024-03-22 00:10:16.630,3.0.2,161.0,holoviews,conda-forge/holoviews,,,['jupyter'],10872.0,10510.0,https://pypi.org/project/holoviews,2024-05-17 14:07:26.000,357.0,486796.0,520826.0,https://anaconda.org/conda-forge/holoviews,2024-02-12 17:18:29.765,1588869.0,,,,,2.0,,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2024-03-22 00:10:16.630,5.0,225.0,,,,,,,,,,, +88,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 10:20:28.000,2024-05-23 09:28:39.000000,2024-05-22 12:49:07,1410.0,123.0,441.0,59.0,1361.0,149.0,677.0,1729.0,The official Python client for the Huggingface Hub.,162.0,38,True,2024-05-21 16:25:42.000,0.23.1,110.0,huggingface_hub,conda-forge/huggingface_hub,,,,1242.0,,https://pypi.org/project/huggingface_hub,2024-05-21 16:18:27.000,1242.0,34849741.0,34894805.0,https://anaconda.org/conda-forge/huggingface_hub,2024-05-03 19:11:46.697,1757525.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +89,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2024-05-21 17:04:26.616000,2024-05-20 22:32:01,1526.0,46.0,199.0,47.0,567.0,32.0,757.0,1129.0,Fiona reads and writes geographic data files.,74.0,38,True,2024-03-08 16:14:09.000,1.9.6,112.0,fiona,conda-forge/fiona,,,,20308.0,20115.0,https://pypi.org/project/fiona,2024-04-16 20:38:29.000,193.0,6188767.0,6308845.0,https://anaconda.org/conda-forge/fiona,2024-05-21 17:04:26.616,5523611.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +90,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2024-03-18 00:28:14.000000,2020-02-15 08:33:35,523.0,,6704.0,1285.0,166.0,670.0,227.0,32552.0,Chinese Words Segmentation Utilities.,49.0,37,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,29226.0,28462.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,764.0,945629.0,947438.0,https://anaconda.org/conda-forge/jieba,2023-06-16 13:21:35.778,153794.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +91,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2024-04-06 08:14:32.000000,2020-06-01 14:58:26,2913.0,,2413.0,233.0,338.0,300.0,224.0,14190.0,Image augmentation for machine learning experiments.,36.0,37,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,20096.0,19845.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,251.0,457230.0,459881.0,https://anaconda.org/conda-forge/imgaug,2023-06-16 16:15:24.882,156447.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +92,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2024-05-21 13:52:52.000000,2024-04-12 16:27:53,4816.0,17.0,4965.0,385.0,701.0,603.0,1346.0,12334.0,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",199.0,37,False,2024-02-24 10:01:09.000,2.7.0,58.0,glfw,conda-forge/glfw,,,,1531.0,1362.0,https://pypi.org/project/glfw,2024-02-24 10:01:09.000,169.0,204277.0,243757.0,https://anaconda.org/conda-forge/glfw,2024-02-24 15:41:47.790,201337.0,,,,,2.0,3774991.0,,,,,,,,,,,,,,,,,,, +93,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2024-05-07 14:51:33.000000,2023-07-11 16:23:35,1095.0,,1519.0,255.0,670.0,415.0,1048.0,11898.0,Video editing with Python.,160.0,37,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,39689.0,38892.0,https://pypi.org/project/moviepy,2021-12-15 14:41:26.454,797.0,1144368.0,1147332.0,https://anaconda.org/conda-forge/moviepy,2023-06-16 13:23:34.876,243125.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +94,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2024-05-20 08:13:52.000000,2024-05-20 08:13:52,1458.0,207.0,1842.0,135.0,197.0,5.0,1033.0,10328.0,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",62.0,37,True,2024-05-02 07:29:37.000,0.0.91,90.0,deepface,,,,,3188.0,3155.0,https://pypi.org/project/deepface,2024-05-02 07:27:16.000,33.0,62690.0,62690.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +95,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2024-05-23 14:43:10.000000,2024-05-23 11:45:12,29525.0,2454.0,1976.0,198.0,5369.0,30.0,3380.0,9296.0,Perform data science on data that remains in someone elses server.,510.0,37,True,2024-04-03 12:17:16.000,0.8.6,280.0,syft,,,,['pytorch'],4.0,1.0,https://pypi.org/project/syft,2024-04-28 12:46:46.000,3.0,10059.0,10337.0,,,,,,,,1.0,2506.0,,,,,,,,,,,,,,,,,,, +96,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2024-05-20 21:18:42.000000,2024-05-07 16:35:27,583.0,12.0,1139.0,263.0,174.0,109.0,170.0,8978.0,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",37.0,37,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,39076.0,38738.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,338.0,1115449.0,1118119.0,https://anaconda.org/conda-forge/textblob,2023-06-16 13:22:54.304,248372.0,,,,,1.0,117.0,,,,,,,,,,,,,,,,,,, +97,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2024-05-23 12:47:28.000000,2024-05-21 14:44:52,28484.0,168.0,771.0,127.0,6158.0,574.0,1665.0,7856.0,NumPy & SciPy for GPU.,364.0,37,True,2024-04-19 07:40:12.000,13.1.0,139.0,cupy,conda-forge/cupy,cupy/cupy,,,2271.0,2054.0,https://pypi.org/project/cupy,2024-04-19 04:17:35.000,217.0,22630.0,101403.0,https://anaconda.org/conda-forge/cupy,2024-04-29 17:22:48.759,3616831.0,https://hub.docker.com/r/cupy/cupy,2024-04-19 07:42:49.196765,11.0,62781.0,1.0,174500.0,,,,,,,,,,,,,,,,,,, +98,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2024-05-23 14:37:05.000000,2024-05-23 14:37:01,4034.0,114.0,1072.0,151.0,1641.0,393.0,884.0,3711.0,Fast data visualization and GUI tools for scientific / engineering applications.,279.0,37,True,2024-04-29 02:18:56.000,0.13.7,25.0,pyqtgraph,conda-forge/pyqtgraph,,,,10441.0,9517.0,https://pypi.org/project/pyqtgraph,2024-04-29 02:18:56.000,924.0,229914.0,241329.0,https://anaconda.org/conda-forge/pyqtgraph,2024-05-02 20:24:38.556,536507.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +99,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2024-05-21 07:32:22.456000,2024-05-10 14:45:37,3850.0,23.0,523.0,147.0,1157.0,143.0,1640.0,2150.0,Rasterio reads and writes geospatial raster datasets.,157.0,37,True,2024-04-12 18:29:54.000,1.3.10,157.0,rasterio,conda-forge/rasterio,,,,12747.0,11509.0,https://pypi.org/project/rasterio,2024-04-16 21:46:35.000,1238.0,2704823.0,2779305.0,https://anaconda.org/conda-forge/rasterio,2024-05-21 07:32:22.456,2978990.0,,,,,2.0,862.0,,,,,,,,,,,,,,,,,,, +100,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2024-05-13 18:30:44.000000,2024-05-13 18:28:50,1241.0,30.0,209.0,32.0,47.0,13.0,166.0,1579.0,Simple Python interface for Graphviz.,23.0,37,True,2024-03-21 07:50:43.000,0.20.3,58.0,graphviz,anaconda/python-graphviz,,,,68290.0,65957.0,https://pypi.org/project/graphviz,2024-03-21 07:50:43.000,2333.0,11555347.0,11555877.0,https://anaconda.org/anaconda/python-graphviz,2024-04-08 21:04:04.101,45097.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +101,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2024-05-20 10:55:33.000000,2024-05-11 06:28:19,1530.0,9.0,286.0,31.0,488.0,105.0,496.0,1424.0,Python library for reading and writing image data.,111.0,37,True,2024-04-22 02:22:40.000,2.34.1,91.0,imageio,conda-forge/imageio,,,,129324.0,127148.0,https://pypi.org/project/imageio,2024-04-22 02:22:35.000,2176.0,22306383.0,22444701.0,https://anaconda.org/conda-forge/imageio,2024-04-22 04:44:13.491,6361955.0,,,,,2.0,1050.0,,,,,,,,,,,,,,,,,,, +102,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2024-05-23 11:02:59.000000,2024-05-23 10:43:46,10286.0,65.0,551.0,69.0,2402.0,296.0,1763.0,1112.0,Machine learning for NeuroImaging in Python.,236.0,37,True,2024-04-09 09:15:50.000,0.10.4,47.0,nilearn,conda-forge/nilearn,,,['sklearn'],3440.0,3168.0,https://pypi.org/project/nilearn,2024-04-09 09:09:58.000,272.0,63183.0,69619.0,https://anaconda.org/conda-forge/nilearn,2024-04-09 13:18:52.622,270146.0,,,,,1.0,163.0,,,,,,,,,,,,,,,,,,, +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 15:45:28.000,2024-05-22 05:52:39.000000,2024-02-10 14:20:58,4668.0,,3482.0,265.0,732.0,75.0,956.0,30043.0,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",165.0,36,True,2023-12-12 15:27:06.000,0.22.0,98.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",1306.0,1260.0,https://pypi.org/project/tts,2023-12-12 15:27:06.000,46.0,120791.0,178793.0,https://anaconda.org/conda-forge/tts,2023-06-16 19:27:41.222,11931.0,,,,,1.0,2189495.0,,,,,,,,,,,,,,,,,,, +104,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2024-05-15 06:40:00.000000,2024-05-08 07:52:03,2292.0,9.0,5171.0,504.0,159.0,1076.0,1358.0,21527.0,State-of-the-art 2D and 3D Face Analysis Project.,60.0,36,True,2023-04-02 08:03:01.222,0.7.3,28.0,insightface,,,,['mxnet'],2161.0,2141.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,20.0,381425.0,629547.0,,,,,,,,2.0,3225598.0,,,,,,,,,,,,,,,,,,, +105,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2024-03-27 09:20:02.000000,2024-03-03 06:50:21,1649.0,2.0,2830.0,378.0,458.0,14.0,1855.0,14521.0,Python Echarts Plotting Library.,42.0,36,True,2024-03-03 07:03:55.000,2.0.5,73.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],4314.0,4126.0,https://pypi.org/project/pyecharts,2024-03-03 07:02:08.000,188.0,180879.0,180882.0,,,,,,,,2.0,45.0,,,,,,,,,,,,,,,,,,, +106,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2024-05-23 14:46:10.000000,2024-05-23 14:28:24,3398.0,252.0,1648.0,126.0,3688.0,168.0,3096.0,13988.0,"LLM orchestration framework to build customizable, production-ready LLM applications. Connect components (models,..",243.0,36,True,2024-05-16 13:40:34.000,2.1.2,96.0,haystack,,,,,274.0,269.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,5.0,4389.0,4389.0,,,,,,,,2.0,24.0,,,,,,,,,,,,,,,,,,, +107,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2024-05-23 14:50:13.000000,2024-05-21 13:05:12,6217.0,59.0,3401.0,243.0,1594.0,1076.0,4117.0,10625.0,Open-source simulator for autonomous driving research.,187.0,36,True,2023-11-14 22:51:02.000,0.9.15,26.0,carla,,,,,720.0,713.0,https://pypi.org/project/carla,2023-11-14 22:51:02.000,7.0,12151.0,12151.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +108,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2024-05-23 13:51:22.000000,2024-05-23 01:10:25,6509.0,361.0,2101.0,192.0,6545.0,126.0,2032.0,10257.0,"A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal,..",312.0,36,True,2024-02-28 06:18:16.000,1.23.0,72.0,nemo-toolkit,,,,['pytorch'],31.0,21.0,https://pypi.org/project/nemo-toolkit,2024-02-28 05:27:18.000,10.0,48539.0,51648.0,,,,,,,,2.0,174152.0,,,,,,,,,,,,,,,,,,, +109,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 05:08:26.000,2024-04-01 18:07:01.000000,2024-04-01 11:19:59,863.0,8.0,1275.0,141.0,499.0,41.0,556.0,6720.0,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,84.0,36,True,2024-03-31 19:38:20.000,0.12.2,36.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],27876.0,27488.0,https://pypi.org/project/imbalanced-learn,2024-03-31 19:27:16.000,388.0,11252690.0,11264673.0,https://anaconda.org/conda-forge/imbalanced-learn,2024-03-31 19:50:51.503,563238.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +110,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2024-05-23 14:35:37.000000,2024-05-23 14:35:37,3041.0,81.0,977.0,90.0,3352.0,334.0,2665.0,5407.0,AI Toolkit for Healthcare Imaging.,189.0,36,True,2024-05-21 08:24:42.000,1.3.1,86.0,monai,conda-forge/monai,,,['pytorch'],2368.0,2273.0,https://pypi.org/project/monai,2024-05-21 04:45:20.000,95.0,147712.0,148528.0,https://anaconda.org/conda-forge/monai,2024-05-21 06:44:33.713,23675.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,, +111,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2024-05-22 17:07:27.000000,2024-05-17 16:56:46,10466.0,173.0,1623.0,148.0,2298.0,585.0,1236.0,5183.0,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",240.0,36,True,2024-04-03 16:21:23.000,2.8.0,854.0,deepchem,conda-forge/deepchem,,,['tensorflow'],384.0,371.0,https://pypi.org/project/deepchem,2024-05-17 17:03:25.000,13.0,25227.0,27491.0,https://anaconda.org/conda-forge/deepchem,2024-04-05 16:46:45.105,106438.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +112,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2024-05-23 13:49:10.000000,2024-05-10 19:47:30,2343.0,73.0,205.0,64.0,134.0,67.0,565.0,3851.0,A Grammar of Graphics for Python.,107.0,36,True,2024-05-10 08:15:43.000,0.13.6,27.0,plotnine,conda-forge/plotnine,,,,7925.0,7660.0,https://pypi.org/project/plotnine,2024-05-09 20:44:49.000,265.0,3191055.0,3198735.0,https://anaconda.org/conda-forge/plotnine,2024-05-10 08:18:51.149,361002.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +113,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2024-05-23 07:54:59.000000,2024-05-23 00:17:31,4395.0,260.0,435.0,36.0,3266.0,550.0,1078.0,2402.0,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,159.0,36,True,2024-05-14 09:37:23.000,0.43.8,94.0,pyvista,conda-forge/pyvista,,,['jupyter'],3436.0,2964.0,https://pypi.org/project/pyvista,2024-05-14 09:37:23.000,472.0,275747.0,285932.0,https://anaconda.org/conda-forge/pyvista,2024-05-14 14:55:18.741,478267.0,,,,,2.0,796.0,,,,,,,,,,,,,,,,,,, +114,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2024-05-10 09:11:35.000000,2024-05-10 09:11:35,1542.0,14.0,372.0,47.0,1491.0,175.0,678.0,1536.0,Exploratory analysis of Bayesian models with Python.,158.0,36,True,2024-04-05 08:50:12.000,0.18.0,37.0,arviz,conda-forge/arviz,,,,6822.0,6539.0,https://pypi.org/project/arviz,2024-04-05 08:50:12.000,283.0,2182429.0,2226651.0,https://anaconda.org/conda-forge/arviz,2024-04-08 15:25:03.090,2122586.0,,,,,1.0,136.0,,,,,,,,,,,,,,,,,,, +115,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2024-05-21 22:33:48.000000,2024-05-06 13:09:16,5858.0,75.0,257.0,37.0,807.0,128.0,403.0,629.0,Python package to access a cacophony of neuro-imaging file formats.,104.0,36,True,2024-02-27 04:17:30.000,5.2.1,42.0,nibabel,conda-forge/nibabel,,,,20070.0,19043.0,https://pypi.org/project/nibabel,2024-02-27 04:13:17.000,1027.0,505296.0,520360.0,https://anaconda.org/conda-forge/nibabel,2024-02-27 14:41:50.570,708017.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +116,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2024-05-23 08:25:47.000000,2024-03-13 13:24:17,2322.0,2.0,6252.0,420.0,1334.0,1244.0,3042.0,29428.0,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,425.0,35,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],3256.0,3147.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,109.0,307378.0,308843.0,https://anaconda.org/conda-forge/fairseq,2024-05-17 03:12:57.351,67251.0,,,,,2.0,333.0,,,,,,,,,,,,,,,,,,, +117,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2024-05-17 09:10:59.000000,2023-09-04 11:42:16,615.0,,2940.0,307.0,247.0,382.0,588.0,22289.0,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",128.0,35,True,2023-09-04 11:55:27.000,1.7.1,32.0,easyocr,,,,,6617.0,6448.0,https://pypi.org/project/easyocr,2023-09-04 11:55:27.000,169.0,245812.0,482335.0,,,,,,,,1.0,11116598.0,,,,,,,,,,,,,,,,,,, +118,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/recommenders-team/recommenders,https://github.com/recommenders-team/recommenders,MIT,2018-09-19 10:06:07.000,2024-05-22 12:40:47.000000,2024-05-20 08:56:40,8907.0,74.0,2994.0,270.0,1248.0,155.0,683.0,18150.0,Best Practices on Recommendation Systems.,131.0,35,True,2024-05-01 18:45:29.000,1.2.0,13.0,recommenders,,,,,114.0,110.0,https://pypi.org/project/recommenders,2024-05-01 18:45:29.000,4.0,26269.0,26276.0,,,,,,,,1.0,492.0,,,recommenders-team/recommenders,,,,,,,,,,,,,,,, +119,ivy,unifyai/ivy,ml-frameworks,,https://github.com/Transpile-AI/ivy,https://github.com/Transpile-AI/ivy,Apache-2.0,2021-01-19 08:37:25.000,2024-05-22 16:27:29.000000,2024-05-22 08:39:58,18273.0,518.0,5865.0,71.0,11679.0,1020.0,15931.0,14028.0,The Unified AI Framework.,1472.0,35,True,2023-06-29 19:33:01.167,0.0.0,116.0,ivy,,,,,12.0,,https://pypi.org/project/ivy,2024-03-15 11:49:07.000,12.0,821.0,821.0,,,,,,,,2.0,,,,Transpile-AI/ivy,,,,,,,,,,,,,,,, +120,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2024-03-27 20:19:41.000000,2024-03-25 12:37:43,1333.0,1.0,2213.0,333.0,1588.0,387.0,1858.0,13989.0,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",172.0,35,True,2023-06-12 09:28:02.604,0.28.1,77.0,horovod,,,,,1174.0,1145.0,https://pypi.org/project/horovod,2023-06-12 09:28:02.604,29.0,63390.0,63390.0,,,,,,,,2.0,,,stable/horovod,,,,,,,,,,,,,,,,, +121,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2024-04-24 19:01:00.000000,2021-06-01 10:43:00,1848.0,,4403.0,545.0,716.0,402.0,1272.0,13919.0,"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,,,,,5758.0,5740.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,18.0,31089.0,31089.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +122,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2024-05-02 09:05:39.790000,2023-08-20 17:38:53,890.0,,1142.0,317.0,267.0,56.0,343.0,12783.0,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,,,,4063.0,3877.0,https://pypi.org/project/annoy,2023-06-14 16:39:02.504,186.0,1211109.0,1220503.0,https://anaconda.org/conda-forge/python-annoy,2024-05-02 09:05:39.790,413340.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +123,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,,2243.0,279.0,3096.0,91.0,2477.0,11701.0,"An open-source NLP research library, built on PyTorch.",266.0,35,False,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],4189.0,4064.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,125.0,49527.0,51476.0,https://anaconda.org/conda-forge/allennlp,2023-06-16 16:12:37.768,126688.0,,,,,2.0,63.0,,,,,,,,,,,,,,,,,,, +124,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2024-05-17 09:36:48.000000,2022-12-08 17:49:19,746.0,,1002.0,134.0,230.0,352.0,272.0,8427.0,Manipulate audio with a simple and easy high level interface.,95.0,35,False,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,58713.0,57583.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,1130.0,4724865.0,4726310.0,https://anaconda.org/conda-forge/pydub,2023-06-16 16:12:25.533,93983.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +125,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2024-05-16 20:28:31.000000,2024-05-05 04:04:50,542.0,55.0,2374.0,282.0,154.0,321.0,318.0,8087.0,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",50.0,35,True,2024-05-05 04:42:09.000,3.10.4,59.0,SpeechRecognition,conda-forge/speechrecognition,,,,508.0,21.0,https://pypi.org/project/SpeechRecognition,2024-05-05 04:36:10.000,487.0,811340.0,815411.0,https://anaconda.org/conda-forge/speechrecognition,2024-05-06 02:00:59.322,183198.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +126,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2024-05-23 15:10:14.000000,2024-05-23 14:23:24,20278.0,980.0,498.0,53.0,2962.0,487.0,1013.0,6807.0,"Visualize, create, and debug image and video datasets and model predictions.",125.0,35,True,2024-04-15 21:52:17.000,0.23.8,142.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",590.0,578.0,https://pypi.org/project/fiftyone,2024-04-15 21:52:17.000,12.0,57612.0,57612.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +127,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 16:08:07.000,2024-05-23 14:21:40.000000,2024-05-13 14:53:52,32443.0,85.0,1988.0,384.0,6818.0,2752.0,6600.0,6751.0,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",264.0,35,True,,,152.0,h2o,,,,,67.0,21.0,https://pypi.org/project/h2o,2024-05-13 17:04:43.000,46.0,302369.0,302369.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +128,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2024-05-23 03:36:15.000000,2024-05-23 03:36:15,3098.0,160.0,744.0,73.0,3465.0,235.0,820.0,6627.0,"The easiest way to serve AI/ML models in production - Build Model Inference Service, LLM APIs, Multi-model Inference..",199.0,35,True,2024-05-16 09:40:43.000,1.2.16,147.0,bentoml,,,,,1822.0,1799.0,https://pypi.org/project/bentoml,2024-05-16 09:40:43.000,23.0,102886.0,102916.0,,,,,,,,2.0,1615.0,,,,,,,,,,,,,,,,,,, +129,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2024-05-21 08:13:28.000000,2024-05-15 16:51:14,2891.0,11.0,2225.0,175.0,1149.0,28.0,1419.0,6614.0,Open Source Neural Machine Translation and (Large) Language Models in PyTorch.,192.0,35,True,2024-03-18 14:02:12.000,3.5.1,50.0,OpenNMT-py,,,,['pytorch'],288.0,270.0,https://pypi.org/project/OpenNMT-py,2024-03-18 14:02:12.000,18.0,12032.0,12032.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +130,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2024-05-23 11:50:07.000000,2024-05-21 14:32:22,955.0,2.0,796.0,87.0,206.0,115.0,662.0,4217.0,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",48.0,35,True,2023-12-31 11:17:16.000,80,72.0,opencv-python,,,,,403256.0,393884.0,https://pypi.org/project/opencv-python,2023-12-31 13:34:00.000,9372.0,14083888.0,14083888.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +131,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2024-05-22 11:04:30.000000,2024-05-21 22:44:00,3778.0,97.0,810.0,58.0,1572.0,366.0,1243.0,4013.0,"Serve, optimize and scale PyTorch models in production.",195.0,35,True,2024-05-17 03:59:56.000,0.11.0,24.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],675.0,654.0,https://pypi.org/project/torchserve,2024-05-16 18:10:47.000,21.0,50937.0,77493.0,https://anaconda.org/pytorch/torchserve,2024-05-16 18:53:25.751,181179.0,https://hub.docker.com/r/pytorch/torchserve,2024-05-16 18:48:58.030552,25.0,1250902.0,2.0,5704.0,,,,,,,,,,,,,,,,,,, +132,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2024-05-23 11:01:00.000000,2024-05-02 08:02:26,8512.0,42.0,698.0,100.0,13205.0,52.0,832.0,3717.0,State of the Art Natural Language Processing.,112.0,35,True,2024-04-05 17:44:10.000,5.3.3,141.0,spark-nlp,,,,['spark'],467.0,431.0,https://pypi.org/project/spark-nlp,2024-04-05 16:57:09.000,36.0,4143275.0,4143275.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +133,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2024-05-23 11:39:27.000000,2024-04-24 22:56:36,1309.0,10.0,810.0,290.0,1467.0,323.0,516.0,3452.0,"Models, data loaders and abstractions for language processing, powered by PyTorch.",155.0,35,True,2024-04-24 16:20:45.000,0.18.0,34.0,torchtext,,,,['pytorch'],259.0,,https://pypi.org/project/torchtext,2024-04-24 15:49:45.000,259.0,721599.0,721599.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +134,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2024-05-20 12:34:50.000000,2024-05-20 12:34:48,7378.0,15.0,616.0,116.0,1165.0,348.0,1110.0,3230.0,High-performance interactive 2D/3D data visualization library.,194.0,35,True,2024-03-14 16:50:16.000,0.14.2,38.0,vispy,conda-forge/vispy,,,['jupyter'],1674.0,1525.0,https://pypi.org/project/vispy,2024-03-14 16:13:05.000,146.0,90959.0,102158.0,https://anaconda.org/conda-forge/vispy,2024-05-17 02:25:53.125,492216.0,,,,,2.0,,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,3.0,13.0,,,,,,,,,,, +135,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2024-05-14 19:20:12.000000,2024-04-23 07:20:16,5324.0,9.0,274.0,79.0,791.0,20.0,124.0,2799.0,"A refreshing functional take on deep learning, compatible with your favorite libraries.",63.0,35,True,2024-04-19 11:40:18.000,9.0.0,234.0,thinc,conda-forge/thinc,,,,47472.0,47347.0,https://pypi.org/project/thinc,2024-04-19 11:39:47.000,125.0,9822946.0,9881160.0,https://anaconda.org/conda-forge/thinc,2024-05-11 21:24:32.807,2794282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +136,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2024-05-23 11:34:46.000000,2024-05-14 17:59:27,2308.0,7.0,627.0,73.0,2878.0,221.0,720.0,2397.0,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",225.0,35,True,2024-04-24 16:19:43.000,2.3.0,34.0,torchaudio,,,,['pytorch'],1054.0,,https://pypi.org/project/torchaudio,2024-04-24 15:48:50.000,1054.0,5309791.0,5309791.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +137,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2024-05-23 07:27:48.000000,2024-05-22 16:27:48,3052.0,196.0,294.0,68.0,1782.0,114.0,618.0,2282.0,Adaptive Experimentation Platform.,168.0,35,True,2024-05-02 22:09:25.000,0.4.0,41.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],763.0,715.0,https://pypi.org/project/ax-platform,2024-05-02 22:09:25.000,48.0,96034.0,96597.0,https://anaconda.org/conda-forge/ax-platform,2024-05-03 19:13:18.752,19714.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +138,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2024-05-23 14:52:21.000000,2024-05-22 16:56:49,4175.0,211.0,541.0,45.0,4517.0,297.0,968.0,2134.0,"PennyLane is a cross-platform Python library for quantum computing, quantum machine learning, and quantum chemistry...",167.0,35,True,2024-05-06 23:38:06.000,0.36.0,57.0,pennylane,conda-forge/pennylane,,,,990.0,888.0,https://pypi.org/project/pennylane,2024-05-06 23:38:06.000,102.0,56259.0,57927.0,https://anaconda.org/conda-forge/pennylane,2024-05-07 13:17:23.986,50014.0,,,,,1.0,78.0,,,,,,,,,,,,,,,,,,, +139,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/torchmetrics,https://github.com/Lightning-AI/torchmetrics,Apache-2.0,2020-12-22 20:02:42.000,2024-05-23 06:25:44.000000,2024-05-21 12:38:35,1789.0,111.0,380.0,26.0,1512.0,77.0,745.0,1971.0,"Torchmetrics - Machine learning metrics for distributed, scalable PyTorch applications.",241.0,35,True,2024-05-15 11:24:52.000,1.4.0.post0,46.0,metrics,conda-forge/torchmetrics,,,['pytorch'],25028.0,25026.0,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,2.0,4742.0,40342.0,https://anaconda.org/conda-forge/torchmetrics,2024-05-16 05:28:17.806,1347676.0,,,,,2.0,5158.0,,,Lightning-AI/torchmetrics,,,,,,,,,,,,,,,, +140,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,BSD-3-Clause,2012-08-03 07:43:59.000,2024-05-21 16:16:07.000000,2024-05-21 16:16:06,3029.0,63.0,360.0,55.0,1162.0,307.0,956.0,1366.0,Cartopy - a cartographic python library with matplotlib support.,126.0,35,True,2024-04-10 17:52:06.000,0.23.0,30.0,cartopy,conda-forge/cartopy,,,,5514.0,4931.0,https://pypi.org/project/cartopy,2024-04-10 17:52:06.000,583.0,234870.0,309479.0,https://anaconda.org/conda-forge/cartopy,2024-05-16 22:28:29.744,3581269.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +141,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2024-04-28 23:29:41.096000,2024-04-28 20:57:25,1553.0,18.0,152.0,41.0,133.0,5.0,642.0,1166.0,A Python data analysis library that is optimized for humans instead of machines.,53.0,35,True,2024-04-28 20:24:49.000,1.10.2,35.0,agate,conda-forge/agate,,,,3243.0,3198.0,https://pypi.org/project/agate,2024-04-28 20:24:49.000,45.0,6795767.0,6800751.0,https://anaconda.org/conda-forge/agate,2024-04-28 23:29:41.096,179445.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +142,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 06:45:41.000,2024-05-23 11:09:45.000000,2024-05-22 20:14:33,1674.0,85.0,168.0,30.0,1573.0,70.0,179.0,1166.0,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,79.0,35,True,2024-05-16 14:22:44.000,2024.4.0,27.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],10772.0,10730.0,https://pypi.org/project/scikit-learn-intelex,2024-05-13 17:40:51.000,42.0,111122.0,118324.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2024-04-19 14:33:00.666,266482.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +143,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2024-05-06 11:54:14.000000,2024-05-06 11:54:14,14881.0,71.0,506.0,51.0,2291.0,394.0,960.0,738.0,Workflows and interfaces for neuroimaging packages.,256.0,35,True,2023-04-06 12:55:55.544,1.8.6,64.0,nipype,conda-forge/nipype,,,,4513.0,4378.0,https://pypi.org/project/nipype,2023-04-06 12:55:55.544,135.0,164750.0,178404.0,https://anaconda.org/conda-forge/nipype,2023-09-22 18:28:24.915,614438.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +144,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2024-05-23 14:58:12.000000,2024-05-23 09:44:06,3300.0,227.0,4241.0,379.0,3928.0,415.0,1204.0,38050.0,"Making large AI models cheaper, faster and more accessible.",184.0,34,True,2024-04-27 11:00:32.000,0.3.7,37.0,,,,,,371.0,371.0,,,,,,,,,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,, +145,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2024-05-22 17:16:50.000000,2024-05-21 21:37:34,1518.0,17.0,7248.0,383.0,664.0,487.0,3054.0,28957.0,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",269.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],1803.0,1792.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,11.0,1.0,5694.0,https://anaconda.org/conda-forge/detectron2,2024-05-19 11:29:45.019,261898.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +146,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2024-05-23 13:06:47.000000,2024-05-23 01:35:18,8012.0,330.0,2678.0,295.0,194.0,25.0,1058.0,26407.0,"Visualizer for neural network, deep learning and machine learning models.",2.0,34,True,2024-05-18 02:20:08.000,7.6.8,645.0,netron,,,,"['pytorch', 'tensorflow']",90.0,12.0,https://pypi.org/project/netron,2024-05-18 02:20:08.000,78.0,21494.0,135552.0,,,,,,,,1.0,114058.0,,,,,,,,,,,,,,,,,,, +147,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2024-05-19 03:10:51.802000,2024-03-13 15:16:33,391.0,1.0,4675.0,844.0,268.0,556.0,611.0,25626.0,Library for fast text representation and classification.,68.0,34,True,2020-04-28 09:54:50.000,0.9.2,36.0,fasttext,conda-forge/fasttext,,,,6203.0,5976.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,227.0,1238987.0,1240820.0,https://anaconda.org/conda-forge/fasttext,2024-05-19 03:10:51.802,80688.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +148,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,libpng-2.0,2018-08-02 17:56:45.000,2024-05-23 09:03:45.000000,2024-05-23 08:39:01,18302.0,1044.0,2722.0,379.0,4983.0,427.0,3431.0,21514.0,The platform for customizing AI from enterprise data.,826.0,34,False,2024-05-22 11:21:02.000,24.5.4.0,463.0,mindsdb,,,,['pytorch'],,,https://pypi.org/project/mindsdb,2024-05-22 11:22:07.000,,18663.0,18663.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +149,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2024-05-18 14:08:15.000000,2024-05-18 14:08:15,800.0,9.0,4458.0,437.0,444.0,404.0,1729.0,17866.0,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,179.0,34,True,2023-10-10 12:57:04.000,1.1.5,16.0,fbprophet,conda-forge/prophet,,,,110.0,21.0,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,89.0,811693.0,843330.0,https://anaconda.org/conda-forge/prophet,2023-10-20 01:36:39.935,1169531.0,,,,,1.0,2520.0,,,,,,,,,,,,,,,,,,, +150,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2024-05-23 04:26:40.000000,2024-04-29 16:39:29,3849.0,23.0,1163.0,192.0,2854.0,365.0,757.0,10879.0,"Low-code framework for building custom LLMs, neural networks, and other AI models.",155.0,34,True,2024-04-08 23:26:12.000,0.10.3,55.0,ludwig,,,,['tensorflow'],257.0,251.0,https://pypi.org/project/ludwig,2024-04-08 23:26:12.000,6.0,4453.0,4453.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2024-03-19 22:44:23.623000,2023-12-09 05:39:53,576.0,,2301.0,219.0,245.0,119.0,417.0,9972.0,A little word cloud generator in Python.,72.0,34,True,2023-12-09 14:04:35.000,1.9.3,20.0,wordcloud,conda-forge/wordcloud,,,,513.0,21.0,https://pypi.org/project/wordcloud,2023-12-09 14:04:35.000,492.0,1960403.0,1970837.0,https://anaconda.org/conda-forge/wordcloud,2024-03-19 22:44:23.623,479968.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +152,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2024-05-20 16:44:45.000000,2024-04-22 23:01:37,2591.0,38.0,631.0,100.0,471.0,578.0,1228.0,8990.0,An open source multi-tool for exploring and publishing data.,78.0,34,True,2023-12-22 23:22:42.000,0.64.6,147.0,datasette,conda-forge/datasette,,,,1651.0,1257.0,https://pypi.org/project/datasette,2024-03-13 02:20:24.000,394.0,40161.0,41082.0,https://anaconda.org/conda-forge/datasette,2024-01-03 22:47:34.900,34040.0,,,,,2.0,64.0,,,,,,,,,datasette,,,,,,,,,, +153,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 19:36:58.000,2024-05-11 13:16:30.000000,2024-05-09 19:06:28,10414.0,8.0,1927.0,350.0,3424.0,134.0,1134.0,8418.0,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,336.0,34,True,2023-07-19 17:15:55.000,9.9.0,29.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,38.0,,https://pypi.org/project/vowpalwabbit,2023-07-19 17:15:55.000,38.0,84161.0,87831.0,https://anaconda.org/conda-forge/vowpalwabbit,2024-04-26 11:19:26.965,157829.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +154,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2024-05-22 06:18:20.000000,2024-05-07 17:19:43,2471.0,21.0,986.0,201.0,2302.0,253.0,839.0,8394.0,Deep universal probabilistic programming with Python and PyTorch.,155.0,34,True,2024-02-19 18:03:28.000,1.9.0,35.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],172.0,,https://pypi.org/project/pyro-ppl,2024-02-19 18:03:28.000,172.0,282604.0,286932.0,https://anaconda.org/conda-forge/pyro-ppl,2024-02-20 17:06:11.848,164491.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +155,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2024-05-12 05:57:55.000000,2024-05-12 05:49:07,676.0,7.0,335.0,67.0,110.0,34.0,139.0,7992.0,"Flexible and powerful tensor operations for readable and reliable code (for pytorch, jax, TF and others).",27.0,34,True,2024-04-28 04:07:49.000,0.8.0,15.0,einops,conda-forge/einops,,,,36573.0,34827.0,https://pypi.org/project/einops,2024-04-28 04:07:49.000,1746.0,7637269.0,7642249.0,https://anaconda.org/conda-forge/einops,2024-04-28 06:22:09.150,214159.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +156,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2024-05-23 14:22:14.000000,2024-05-23 04:33:24,927.0,70.0,722.0,284.0,1223.0,319.0,372.0,7666.0,"Build and manage real-life ML, AI, and data science projects with ease!.",89.0,34,True,2024-05-22 00:31:28.000,2.11.16,123.0,metaflow,conda-forge/metaflow,,,,698.0,653.0,https://pypi.org/project/metaflow,2024-05-22 00:31:28.000,45.0,535054.0,538807.0,https://anaconda.org/conda-forge/metaflow,2024-05-09 09:11:54.860,172662.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +157,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2024-05-23 05:57:10.000000,2024-04-20 16:29:42,4447.0,122.0,870.0,141.0,484.0,93.0,785.0,7078.0,"Stanford NLP Python library for tokenization, sentence segmentation, NER, and parsing of many human languages.",68.0,34,True,2024-04-20 18:58:25.000,1.8.2,25.0,stanza,stanfordnlp/stanza,,,,2938.0,2769.0,https://pypi.org/project/stanza,2024-04-20 18:57:48.000,169.0,256837.0,256985.0,https://anaconda.org/stanfordnlp/stanza,2023-06-16 19:18:21.932,7424.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +158,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2024-05-23 05:07:41.000000,2024-05-23 05:07:41,1369.0,29.0,860.0,157.0,1715.0,146.0,863.0,7074.0,An open source python library for automated feature engineering.,72.0,34,True,2024-05-14 18:59:58.000,1.31.0,106.0,featuretools,conda-forge/featuretools,,,,1711.0,1638.0,https://pypi.org/project/featuretools,2024-05-14 18:59:58.000,73.0,67981.0,71899.0,https://anaconda.org/conda-forge/featuretools,2024-05-15 15:26:44.535,184183.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +159,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2024-04-27 14:18:10.000000,2023-11-16 08:43:39,1418.0,,872.0,218.0,222.0,174.0,233.0,6820.0,Efficiently computes derivatives of numpy code.,56.0,34,True,2023-06-23 08:37:07.368,1.6.2,29.0,autograd,conda-forge/autograd,,,,8472.0,8208.0,https://pypi.org/project/autograd,2023-06-23 08:37:07.368,264.0,1319164.0,1337710.0,https://anaconda.org/conda-forge/autograd,2023-06-26 15:21:38.267,426571.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +160,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2024-05-15 16:59:32.016000,2024-05-14 15:47:55,3273.0,11.0,924.0,138.0,652.0,53.0,1134.0,6732.0,Python library for audio and music analysis.,120.0,34,True,2024-05-14 15:48:50.000,0.10.2.post1,43.0,librosa,conda-forge/librosa,,,,1193.0,,https://pypi.org/project/librosa,2024-05-14 15:49:38.000,1193.0,2821596.0,2837760.0,https://anaconda.org/conda-forge/librosa,2024-05-15 16:59:32.016,743554.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +161,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2024-05-22 07:08:28.000000,2024-05-22 07:08:00,2364.0,58.0,635.0,93.0,259.0,456.0,547.0,5309.0,"ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline,..",96.0,34,True,2024-05-17 20:17:06.000,1.16.1,163.0,clearml,,allegroai/trains,,,1143.0,1109.0,https://pypi.org/project/clearml,2024-05-21 10:20:23.000,34.0,296482.0,297036.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30241.0,2.0,2493.0,,,,,,,,,,,,,,,,,,, +162,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2024-03-31 13:12:23.000000,2024-03-31 13:12:23,1645.0,6.0,845.0,118.0,527.0,144.0,341.0,4782.0,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,106.0,34,True,2024-01-05 09:13:47.000,0.23.1,52.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],13616.0,13461.0,https://pypi.org/project/mlxtend,2024-01-05 09:13:47.000,155.0,619625.0,626273.0,https://anaconda.org/conda-forge/mlxtend,2024-01-05 18:58:45.309,305852.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +163,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 14:40:43.000,2024-05-23 09:05:18.000000,2024-05-06 14:43:44,12226.0,63.0,1105.0,101.0,1340.0,152.0,752.0,4518.0,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",135.0,34,True,2024-02-17 23:58:41.000,1.17.1,58.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,532.0,521.0,https://pypi.org/project/adversarial-robustness-toolbox,2024-02-17 23:56:02.000,11.0,26951.0,27800.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2024-02-18 02:39:29.665,39063.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +164,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2024-05-23 14:16:33.000000,2024-05-23 10:01:25,1699.0,39.0,605.0,60.0,1846.0,154.0,1260.0,4463.0,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,518.0,34,True,2024-04-01 10:35:11.000,0.5.0.post2,1628.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],2990.0,2906.0,https://pypi.org/project/pytorch-ignite,2024-05-23 00:13:43.000,84.0,301732.0,304299.0,https://anaconda.org/pytorch/ignite,2024-04-01 12:32:01.049,182265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +165,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2024-05-17 00:01:43.000000,2024-05-17 00:01:43,1152.0,18.0,596.0,119.0,872.0,309.0,1058.0,4111.0,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",167.0,34,True,2024-04-22 23:27:42.000,7.2,47.0,coremltools,conda-forge/coremltools,,,,3905.0,3834.0,https://pypi.org/project/coremltools,2024-04-23 00:06:00.000,71.0,322688.0,324138.0,https://anaconda.org/conda-forge/coremltools,2023-06-16 19:23:14.592,57193.0,,,,,2.0,9639.0,,,,,,,,,,,,,,,,,,, +166,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2024-05-21 18:41:24.000000,2024-05-02 18:05:35,1286.0,16.0,246.0,36.0,441.0,96.0,218.0,3601.0,Lightning fast forecasting with statistical and econometric models.,39.0,34,True,2024-04-08 16:44:34.000,1.7.4,32.0,statsforecast,conda-forge/statsforecast,,,,943.0,888.0,https://pypi.org/project/statsforecast,2024-04-08 16:44:34.000,55.0,581976.0,584617.0,https://anaconda.org/conda-forge/statsforecast,2024-04-08 20:04:06.356,68675.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +167,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2024-05-07 05:39:07.350000,2024-04-08 16:26:55,1182.0,2.0,1674.0,150.0,210.0,9.0,690.0,3444.0,A library for transfer learning by reusing parts of TensorFlow models.,106.0,34,True,2024-01-30 15:53:29.000,0.16.1,20.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],286.0,,https://pypi.org/project/tensorflow-hub,2024-01-30 14:49:07.000,286.0,5446826.0,5448980.0,https://anaconda.org/conda-forge/tensorflow-hub,2024-05-07 05:39:07.350,96938.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +168,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2024-05-23 14:40:58.000000,2024-05-23 13:16:55,1505.0,13.0,363.0,90.0,752.0,138.0,447.0,3221.0,Quickly and accurately render even the largest data.,55.0,34,True,2024-04-23 11:57:48.000,0.16.1,47.0,datashader,conda-forge/datashader,,,,4300.0,4121.0,https://pypi.org/project/datashader,2024-05-23 13:31:47.000,179.0,114077.0,132467.0,https://anaconda.org/conda-forge/datashader,2024-04-23 12:02:45.109,882731.0,,,,,2.0,,1.0,,,,,,,,,,,,,,,,,, +169,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2024-05-22 23:25:30.000000,2024-05-20 21:46:11,1878.0,81.0,372.0,53.0,1621.0,71.0,421.0,2971.0,Bayesian optimization in PyTorch.,114.0,34,True,2024-05-01 20:33:09.000,0.11.0,44.0,botorch,conda-forge/botorch,,,['pytorch'],1069.0,995.0,https://pypi.org/project/botorch,2024-05-01 20:33:09.000,74.0,149160.0,151548.0,https://anaconda.org/conda-forge/botorch,2024-05-01 22:13:21.203,107468.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +170,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2024-05-23 15:05:53.000000,2024-05-23 13:58:55,1029.0,54.0,372.0,58.0,1189.0,347.0,395.0,2209.0,Accelerate training and inference of Transformers and Diffusers with easy to use hardware optimization tools.,104.0,34,True,2024-05-09 11:17:31.000,1.19.2,63.0,optimum,conda-forge/optimum,,,,2593.0,2463.0,https://pypi.org/project/optimum,2024-05-09 11:10:12.000,130.0,1113262.0,1113837.0,https://anaconda.org/conda-forge/optimum,2024-05-09 14:07:35.313,14392.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +171,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2024-05-23 07:06:43.000000,2024-05-22 14:51:53,5182.0,106.0,515.0,19.0,1282.0,1034.0,644.0,2128.0,"This is the development home of the workflow management system Snakemake. For general information, see.",326.0,34,True,2024-05-17 05:21:07.000,8.11.6,337.0,snakemake,bioconda/snakemake,,,,2196.0,1976.0,https://pypi.org/project/snakemake,2024-05-17 05:21:07.000,220.0,57282.0,67508.0,https://anaconda.org/bioconda/snakemake,2024-05-03 18:24:01.575,1053326.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +172,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 01:09:14.000,2024-05-23 10:11:59.000000,2024-05-22 05:11:40,4269.0,61.0,1070.0,153.0,1122.0,71.0,656.0,1777.0,Documentation and samples for ArcGIS API for Python.,91.0,34,True,2024-04-23 21:21:11.000,2.3.0,45.0,arcgis,,esridocker/arcgis-api-python-notebook,,,794.0,758.0,https://pypi.org/project/arcgis,2024-05-17 14:10:32.000,36.0,67023.0,67145.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,,,,2.0,11314.0,,,,,,,,,,,,,,,,,,, +173,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2024-05-14 18:16:15.000000,2024-05-14 15:08:32,1184.0,13.0,359.0,67.0,604.0,276.0,353.0,1454.0,A Jupyter - Leaflet.js bridge.,88.0,34,True,2024-05-14 08:14:02.000,0.19.1,83.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],9245.0,8983.0,https://pypi.org/project/ipyleaflet,2024-05-14 07:54:14.000,253.0,152342.0,186163.0,https://anaconda.org/conda-forge/ipyleaflet,2024-05-14 09:17:21.014,1145208.0,,,,,2.0,,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2024-05-13 13:06:55.933,9.0,9963.0,,,,,,,,,,, +174,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2024-03-26 18:33:29.000000,2024-02-11 16:39:29,1856.0,,200.0,32.0,212.0,26.0,399.0,1364.0,The ctypes-based simple ImageMagick binding for Python.,104.0,34,True,2023-11-04 01:41:17.000,0.6.13,56.0,wand,conda-forge/wand,,,,19142.0,18905.0,https://pypi.org/project/wand,2023-11-03 23:18:50.000,237.0,842521.0,844033.0,https://anaconda.org/conda-forge/wand,2023-06-16 16:16:46.218,46258.0,,,,,2.0,46276.0,,,,,,,,,,,,,,,,,,, +175,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2024-05-20 19:53:50.000000,2024-03-13 00:47:35,874.0,5.0,328.0,44.0,1028.0,168.0,169.0,1200.0,Making text a first-class citizen in TensorFlow.,113.0,34,True,2024-03-11 20:48:59.000,2.16.1,69.0,tensorflow-text,,,,['tensorflow'],7034.0,6831.0,https://pypi.org/project/tensorflow-text,2024-03-11 17:56:47.000,203.0,7642662.0,7642662.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +176,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2024-05-13 19:31:12.000000,2024-04-20 13:16:16,1546.0,8.0,212.0,35.0,687.0,31.0,572.0,999.0,Python interface to PROJ (cartographic projections and coordinate transformations library).,65.0,34,True,2023-09-21 02:07:12.000,3.6.1,61.0,pyproj,conda-forge/pyproj,,,,31616.0,30092.0,https://pypi.org/project/pyproj,2023-09-21 02:07:12.000,1524.0,8704009.0,8869715.0,https://anaconda.org/conda-forge/pyproj,2024-05-01 02:52:24.565,7622512.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +177,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2024-02-18 05:01:17.000000,2021-11-17 17:52:52,3466.0,,3875.0,661.0,1674.0,143.0,1985.0,24458.0,"DeepSpeech is an open source embedded (offline, on-device) speech-to-text engine which can run in real time on devices..",163.0,33,False,2020-12-10 17:22:09.000,0.9.3,100.0,deepspeech,conda-forge/deepspeech,,,['tensorflow'],443.0,419.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,24.0,5030.0,21874.0,https://anaconda.org/conda-forge/deepspeech,2023-06-16 19:27:01.157,2707.0,,,,,2.0,1140020.0,,,,,,,,,,,,,,,,,,, +178,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/tinygrad/tinygrad,https://github.com/tinygrad/tinygrad,MIT,2020-10-18 16:23:12.000,2024-05-23 15:03:17.000000,2024-05-23 03:59:50,4506.0,879.0,2658.0,266.0,4005.0,93.0,521.0,24277.0,You like pytorch? You like micrograd? You love tinygrad!.,307.0,33,True,2024-01-09 18:16:07.000,0.8.0,5.0,,,,,['pytorch'],64.0,64.0,,,,,,,,,,,,,1.0,,1.0,,tinygrad/tinygrad,,,,,,,,,,,,,,,, +179,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2024-05-20 14:56:42.000000,2023-07-11 13:03:36,1421.0,,3728.0,755.0,1136.0,410.0,588.0,18960.0,Magenta: Music and Art Generation with Machine Intelligence.,155.0,33,True,2023-12-02 01:16:14.308,0.1.0,68.0,magenta,,,,['tensorflow'],512.0,507.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,5.0,4207.0,4207.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +180,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2024-05-10 14:44:06.000000,2023-10-26 05:31:53,3012.0,,1800.0,284.0,3506.0,385.0,1682.0,13809.0,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",192.0,33,True,2023-09-14 12:12:06.000,3.0,55.0,nni,,,,,684.0,646.0,https://pypi.org/project/nni,2023-09-14 12:22:00.000,38.0,16511.0,16511.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +181,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2024-05-23 07:14:18.000000,2024-05-21 08:39:30,3812.0,35.0,901.0,136.0,174.0,107.0,1008.0,12270.0,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",96.0,33,True,2024-05-21 09:05:36.000,16.3.1,238.0,ocrmypdf,conda-forge/ocrmypdf,,,,848.0,824.0,https://pypi.org/project/ocrmypdf,2024-05-21 09:05:36.000,24.0,98175.0,100240.0,https://anaconda.org/conda-forge/ocrmypdf,2023-06-16 19:24:58.228,65774.0,,,,,2.0,3417.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,, +182,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2024-05-07 09:56:24.000000,2021-07-29 23:17:25,531.0,,1785.0,264.0,116.0,111.0,535.0,11334.0,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,,,,5799.0,5615.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,184.0,353878.0,356206.0,https://anaconda.org/conda-forge/lime,2023-06-16 13:18:57.655,207242.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +183,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2024-05-15 17:55:00.000000,2024-02-23 19:03:07,2440.0,,1539.0,287.0,432.0,284.0,638.0,9532.0,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,121.0,33,False,2024-02-23 19:06:10.000,0.12.2,63.0,tpot,conda-forge/tpot,,,['sklearn'],2799.0,2762.0,https://pypi.org/project/tpot,2024-02-23 19:06:10.000,37.0,42828.0,48197.0,https://anaconda.org/conda-forge/tpot,2024-02-26 15:57:08.680,252379.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +184,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,,877.0,259.0,148.0,107.0,104.0,9134.0,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,,,,25327.0,24395.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,932.0,6812800.0,6818480.0,https://anaconda.org/conda-forge/fuzzywuzzy,2023-06-16 13:22:53.603,533924.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +185,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2024-03-20 22:02:13.000000,2024-03-20 22:02:12,1391.0,4.0,1399.0,302.0,894.0,137.0,759.0,9084.0,AutoML library for deep learning.,143.0,33,True,2024-03-20 21:40:33.000,2.0.0,59.0,autokeras,,,,['tensorflow'],688.0,675.0,https://pypi.org/project/autokeras,2024-03-20 21:40:33.000,13.0,19306.0,19538.0,,,,,,,,1.0,18144.0,,,,,,,,,,,,,,,,,,, +186,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2024-05-22 00:18:00.000000,2024-03-16 17:36:36,1731.0,4.0,1318.0,148.0,228.0,207.0,146.0,8015.0,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,50.0,33,True,2024-02-09 06:52:05.000,1.1.3,91.0,pyod,conda-forge/pyod,,,,3826.0,3720.0,https://pypi.org/project/pyod,2024-02-09 06:50:32.000,106.0,709995.0,712053.0,https://anaconda.org/conda-forge/pyod,2024-02-09 07:53:55.073,98788.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +187,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2024-05-23 14:55:29.000000,2024-05-23 13:59:55,38785.0,414.0,838.0,146.0,9652.0,1095.0,5275.0,7453.0,cuDF - GPU DataFrame Library.,285.0,33,True,2024-05-01 12:29:36.000,24.04.01,49.0,cudf,,,,,72.0,55.0,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,17.0,3250.0,3250.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +188,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2024-05-23 01:30:29.000000,2024-05-16 18:33:34,1201.0,58.0,805.0,61.0,966.0,265.0,1171.0,7387.0,A python library for user-friendly forecasting and anomaly detection on time series.,115.0,33,True,2024-04-17 11:54:28.000,0.29.0,42.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,623.0,617.0,https://pypi.org/project/u8darts,2024-04-17 11:54:28.000,6.0,21109.0,22422.0,https://anaconda.org/conda-forge/u8darts-all,2024-04-18 00:03:59.716,44398.0,https://hub.docker.com/r/unit8/darts,2024-04-17 11:31:17.149896,,580.0,2.0,,,,,,,,,,,,,,,,,,,, +189,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2024-05-23 09:06:09.000000,2024-05-22 19:56:20,2216.0,108.0,851.0,98.0,2476.0,343.0,974.0,7246.0,Fast and Accurate ML in 3 Lines of Code.,122.0,33,True,2024-05-02 19:07:34.000,0.8.3,1491.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",722.0,699.0,https://pypi.org/project/autogluon,2024-05-23 09:06:09.000,23.0,74515.0,74648.0,,,,https://hub.docker.com/r/autogluon/autogluon,2024-03-07 07:21:23.461952,17.0,7715.0,1.0,,,,,,,,,,,,,,,,,,,, +190,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2024-05-17 14:26:43.000000,2024-04-25 01:14:03,1793.0,25.0,765.0,128.0,277.0,455.0,335.0,6987.0,Uniform Manifold Approximation and Projection.,130.0,33,True,2024-04-03 16:53:16.000,0.5.6,40.0,umap-learn,conda-forge/umap-learn,,,,834.0,1.0,https://pypi.org/project/umap-learn,2024-04-03 16:53:16.000,833.0,1338883.0,1390381.0,https://anaconda.org/conda-forge/umap-learn,2024-02-04 15:29:26.812,2420431.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +191,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/ipex-llm,https://github.com/intel-analytics/ipex-llm,Apache-2.0,2016-08-29 07:59:50.000,2024-05-23 10:25:21.000000,2024-05-23 09:37:37,2840.0,600.0,1209.0,242.0,8821.0,816.0,1473.0,6091.0,"Accelerate local LLM inference and finetuning (LLaMA, Mistral, ChatGLM, Qwen, Baichuan, Mixtral, Gemma, etc.) on Intel..",99.0,33,True,2023-11-13 02:02:20.000,2.4.0,869.0,bigdl,,,,,58.0,51.0,https://pypi.org/project/bigdl,2024-03-24 14:04:20.000,2.0,2421.0,2426.0,,,,,,,,2.0,484.0,,,intel-analytics/ipex-llm,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,5.0,,, +192,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2024-05-22 20:27:36.000000,2024-05-22 20:27:20,3138.0,152.0,717.0,143.0,106.0,101.0,332.0,6057.0,Fit interpretable models. Explain blackbox machine learning.,44.0,33,True,2024-04-14 22:32:49.000,0.6.1,49.0,interpret,,,,['jupyter'],724.0,679.0,https://pypi.org/project/interpret,2024-04-14 04:27:31.000,45.0,79679.0,79679.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +193,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,,1366.0,288.0,6588.0,13.0,2030.0,5868.0,A flexible framework of neural networks for deep learning.,324.0,33,False,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3298.0,3240.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,58.0,19675.0,20016.0,https://anaconda.org/conda-forge/chainer,2023-06-16 19:17:58.452,17403.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +194,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2024-05-23 13:28:41.000000,2024-05-18 17:30:37,29879.0,261.0,1564.0,182.0,2106.0,35.0,1592.0,4852.0,"mlpack: a fast, header-only C++ machine learning library.",316.0,33,True,2023-12-12 00:54:05.000,4.3.0,46.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2024-04-10 13:40:15.000,1.0,2947.0,6830.0,https://anaconda.org/conda-forge/mlpack,2023-11-29 00:35:31.566,182540.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +195,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2024-05-07 17:56:16.000000,2024-05-07 17:47:54,1090.0,34.0,465.0,245.0,763.0,213.0,333.0,4623.0,Model interpretability and understanding for PyTorch.,111.0,33,True,2023-12-05 09:21:02.000,0.7.0,10.0,captum,conda-forge/captum,,,['pytorch'],2185.0,2072.0,https://pypi.org/project/captum,2023-12-05 08:32:04.000,113.0,225123.0,225994.0,https://anaconda.org/conda-forge/captum,2023-06-16 19:28:19.191,25278.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +196,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2024-05-20 02:14:43.000000,2023-12-03 03:47:34,490.0,,591.0,65.0,218.0,213.0,158.0,4054.0,Header-only C++/python library for fast approximate nearest neighbors.,72.0,33,True,2023-12-03 04:16:17.000,0.8.0,11.0,hnswlib,conda-forge/hnswlib,,,,6618.0,6496.0,https://pypi.org/project/hnswlib,2023-12-03 04:16:17.000,122.0,915097.0,919008.0,https://anaconda.org/conda-forge/hnswlib,2023-09-27 14:20:16.958,160374.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +197,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2024-05-16 16:15:58.000000,2024-05-16 16:15:57,1295.0,2.0,2511.0,1967.0,534.0,386.0,1075.0,3969.0,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,64.0,33,True,2024-02-06 19:36:25.000,1.55.0,103.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2024-04-29 18:34:04.000,48.0,583813.0,583821.0,,,,,,,,2.0,577.0,,,,,,,,,,,,,,,,,,, +198,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2024-05-23 14:38:50.000000,2024-05-23 13:02:26,3007.0,143.0,313.0,25.0,2784.0,148.0,1764.0,3152.0,"Argilla is a collaboration platform for AI engineers and domain experts that require high-quality outputs, full data..",88.0,33,True,2024-05-09 15:13:09.000,1.28.0,100.0,rubrix,conda-forge/rubrix,,,,2482.0,2482.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,714.0,1772.0,https://anaconda.org/conda-forge/rubrix,2023-06-16 19:28:09.653,30682.0,,,,,2.0,,,,argilla-io/argilla,,,,,,,,,,,,,,,, +199,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 08:02:14.000,2024-05-21 14:47:05.000000,2024-05-21 14:46:52,3713.0,28.0,190.0,50.0,1367.0,132.0,722.0,1969.0,Ahead of Time compiler for numeric kernels.,72.0,33,True,2024-05-20 19:27:51.000,0.16.0,60.0,pythran,conda-forge/pythran,,,,2204.0,2185.0,https://pypi.org/project/pythran,2024-05-20 19:27:51.000,19.0,228971.0,240122.0,https://anaconda.org/conda-forge/pythran,2024-05-21 00:59:04.558,490684.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +200,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2024-05-11 11:34:04.000000,2024-04-15 22:25:34,1519.0,1.0,606.0,57.0,1882.0,88.0,898.0,1679.0,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,207.0,33,True,2023-11-28 01:45:31.000,0.23.0,38.0,tensorflow-addons,,,,['tensorflow'],14918.0,14693.0,https://pypi.org/project/tensorflow-addons,2023-11-28 01:45:31.000,225.0,1023510.0,1023510.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +201,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2024-04-20 16:14:16.000000,2018-10-12 15:53:05,1251.0,,282.0,51.0,158.0,104.0,218.0,1596.0,Python Geocoder.,73.0,33,False,2021-12-15 15:58:16.110,1.1.4,110.0,geocoder,conda-forge/geocoder,,,,10212.0,10027.0,https://pypi.org/project/geocoder,2021-12-15 15:58:16.110,185.0,613657.0,615290.0,https://anaconda.org/conda-forge/geocoder,2023-06-16 13:21:27.128,142098.0,,,,,3.0,,,,,,,,,,,,,,,,,,,,geocoder +202,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 20:34:28.000,2024-05-02 22:47:28.000000,2024-05-02 22:47:23,830.0,5.0,320.0,119.0,783.0,217.0,167.0,1473.0,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",85.0,33,True,2024-02-08 02:06:46.000,0.8.0,31.0,tensorflow-model-optimization,,,,['tensorflow'],3840.0,3797.0,https://pypi.org/project/tensorflow-model-optimization,2024-02-08 01:57:17.000,43.0,777501.0,777501.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +203,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2024-05-21 12:00:02.000000,2024-05-19 16:09:04,2833.0,28.0,247.0,34.0,215.0,44.0,504.0,1242.0,Python interface for igraph.,75.0,33,False,2024-05-07 17:50:45.000,0.11.5,41.0,python-igraph,conda-forge/igraph,,,,4319.0,3946.0,https://pypi.org/project/python-igraph,2024-05-07 17:50:45.000,373.0,228474.0,246633.0,https://anaconda.org/conda-forge/igraph,2024-05-07 18:54:37.635,532654.0,,,,,1.0,562823.0,,,,,,,,,,,,,,,,,,, +204,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2024-05-21 14:39:57.000000,2024-05-20 17:11:41,3332.0,52.0,236.0,48.0,389.0,73.0,269.0,1033.0,"OpenCL integration for Python, plus shiny features.",96.0,33,True,2024-05-09 02:37:50.000,2024.2.2,98.0,pyopencl,conda-forge/pyopencl,,,,2063.0,1899.0,https://pypi.org/project/pyopencl,2024-05-09 02:37:50.000,164.0,54441.0,76525.0,https://anaconda.org/conda-forge/pyopencl,2024-05-09 12:35:04.365,1037955.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +205,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,,2010-02-06 11:43:08.000,2024-05-22 21:34:35.000000,2024-05-20 12:56:50,14061.0,325.0,419.0,52.0,2128.0,151.0,781.0,677.0,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",161.0,33,False,2024-03-08 22:14:36.000,1.9.0,28.0,dipy,conda-forge/dipy,,,,1219.0,1102.0,https://pypi.org/project/dipy,2024-03-08 22:14:36.000,117.0,27382.0,37519.0,https://anaconda.org/conda-forge/dipy,2024-03-10 04:37:57.447,446045.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +206,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2024-02-24 12:51:59.000000,2022-06-10 09:12:18,238.0,,13289.0,1566.0,227.0,767.0,585.0,52008.0,The worlds simplest facial recognition api for Python and the command line.,54.0,32,False,2020-02-20 14:26:01.000,1.3.0,23.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],129.0,21.0,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,108.0,195741.0,196227.0,https://anaconda.org/conda-forge/face_recognition,2023-06-16 19:21:40.721,20791.0,,,,,2.0,1230.0,,,,,,,,,,,,,,,,,,, +207,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2024-05-23 14:05:48.000000,2024-05-10 07:11:27,2698.0,517.0,1212.0,118.0,2990.0,230.0,908.0,18260.0,"Qdrant - High-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud..",104.0,32,True,2024-05-10 08:04:53.000,1.9.2,70.0,,,,,,114.0,114.0,,,,,988.0,,,,,,,,2.0,36587.0,,,,,,,,,,,,,,,,,,, +208,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2024-02-13 08:02:51.000000,2020-10-14 16:36:49,6226.0,,4630.0,1004.0,1869.0,362.0,658.0,17126.0,"Zipline, a Pythonic Algorithmic Trading Library.",161.0,32,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,1001.0,991.0,https://pypi.org/project/zipline,2020-10-05 15:46:20.429,10.0,2797.0,2973.0,https://anaconda.org/conda-forge/zipline,2023-06-16 19:21:35.991,7751.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +209,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,,3425.0,464.0,671.0,590.0,672.0,14981.0,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,244.0,32,False,2020-06-17 16:31:34.798,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1495.0,1481.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:31:34.798,14.0,6386.0,6386.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +210,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-11-01 06:14:06.000000,2021-11-29 19:55:31,1571.0,,1159.0,338.0,1683.0,523.0,1294.0,11159.0,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,,,,,376.0,371.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,5.0,17402.0,17530.0,,,,,,,,3.0,9879.0,,,,,,,,,,,,,,,,,,, +211,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/google-deepmind/sonnet,https://github.com/google-deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2024-04-08 20:21:16.000000,2024-04-08 20:21:10,864.0,2.0,1282.0,420.0,87.0,32.0,161.0,9697.0,TensorFlow-based neural network library.,59.0,32,True,2024-01-02 11:15:06.000,2.0.2,29.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1307.0,1289.0,https://pypi.org/project/dm-sonnet,2024-01-02 11:15:06.000,18.0,29388.0,29916.0,https://anaconda.org/conda-forge/sonnet,2023-06-16 16:19:12.602,28528.0,,,,,3.0,,,,google-deepmind/sonnet,,,,,,,,,,,,,,,, +212,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2024-05-06 11:34:20.000000,2020-11-30 04:34:51,613.0,,2414.0,457.0,261.0,576.0,363.0,9611.0,Deep learning library featuring a higher-level API for TensorFlow.,128.0,32,False,2020-11-11 19:26:11.000,0.5.0,8.0,tflearn,,,,['tensorflow'],4912.0,4900.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,12.0,6637.0,6637.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +213,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2024-05-23 12:02:08.000000,2024-05-23 02:34:29,1621.0,68.0,669.0,85.0,741.0,120.0,251.0,8855.0,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",48.0,32,False,2024-05-07 18:34:46.000,2.6.4,29.0,cleanlab,conda-forge/cleanlab,,,,327.0,311.0,https://pypi.org/project/cleanlab,2024-05-07 18:34:46.000,16.0,31696.0,32303.0,https://anaconda.org/conda-forge/cleanlab,2024-05-08 16:12:11.004,22479.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +214,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2024-05-14 22:35:18.000000,2024-05-13 23:40:34,1154.0,13.0,1254.0,148.0,168.0,265.0,1260.0,8379.0,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,142.0,32,False,2024-02-22 18:30:39.000,0.7.6,17.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],825.0,811.0,https://pypi.org/project/pytorch3d,2022-04-28 15:53:26.000,14.0,6613.0,10555.0,https://anaconda.org/pytorch3d/pytorch3d,2023-10-31 20:03:11.190,212891.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +215,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2024-05-23 06:13:32.000000,2024-05-20 11:03:18,2900.0,5.0,1644.0,88.0,1648.0,214.0,1843.0,8312.0,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",119.0,32,True,2023-10-18 03:54:18.000,2.9.0,19.0,paddleseg,,,,['paddle'],1206.0,1199.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,7.0,2345.0,2345.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +216,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-11-12 14:28:03.000000,2023-11-12 14:28:03,528.0,,870.0,86.0,274.0,78.0,376.0,7811.0,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",82.0,32,True,2023-07-30 14:05:26.000,2.6.2,24.0,tensorboardX,conda-forge/tensorboardx,,,,44388.0,43791.0,https://pypi.org/project/tensorboardX,2023-08-20 13:38:18.000,597.0,2196384.0,2221753.0,https://anaconda.org/conda-forge/tensorboardx,2023-08-20 16:29:43.490,1166758.0,,,,,2.0,421.0,,,,,,,,,,,,,,,,,,, +217,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/bayesian-optimization/BayesianOptimization,https://github.com/bayesian-optimization/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2024-04-23 12:27:20.000000,2024-03-06 05:23:22,360.0,3.0,1504.0,134.0,135.0,15.0,325.0,7552.0,A Python implementation of global optimization with gaussian processes.,44.0,32,True,2023-04-25 22:00:01.831,1.4.3,14.0,bayesian-optimization,,,,,2758.0,2627.0,https://pypi.org/project/bayesian-optimization,2023-04-25 22:00:01.831,131.0,546258.0,546259.0,,,,,,,,2.0,147.0,,,bayesian-optimization/BayesianOptimization,,,,,,,,,,,,,,,, +218,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2024-04-29 22:31:53.000000,2024-03-13 19:58:20,1220.0,2.0,1042.0,124.0,275.0,205.0,445.0,7099.0,Distributed Asynchronous Hyperparameter Optimization in Python.,103.0,32,True,2021-11-17 10:07:00.808,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,15334.0,14912.0,https://pypi.org/project/hyperopt,2021-11-17 10:07:00.808,422.0,2405795.0,2417009.0,https://anaconda.org/conda-forge/hyperopt,2023-06-16 16:14:11.076,762603.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +219,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2024-05-21 10:43:16.000000,2024-03-13 09:36:57,2708.0,3.0,1130.0,209.0,1049.0,22.0,615.0,6559.0,An open source library for deep learning end-to-end dialog systems and chatbots.,77.0,32,True,2024-03-13 10:57:14.000,1.6.0,63.0,deeppavlov,,,,['tensorflow'],394.0,390.0,https://pypi.org/project/deeppavlov,2024-03-13 10:57:14.000,4.0,10580.0,10580.0,,,,,,,,2.0,,,,deeppavlov/DeepPavlov,,,,,,,,,,,,,,,, +220,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,,1816.0,197.0,206.0,13.0,1343.0,6298.0,"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'],1563.0,1545.0,https://pypi.org/project/tensorpack,2021-01-22 19:59:12.425,18.0,13666.0,14009.0,https://anaconda.org/conda-forge/tensorpack,2023-06-16 19:27:42.012,10585.0,,,,,3.0,168.0,,,,,,,,,,,,,,,,,,, +221,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2024-05-21 08:03:20.000000,2024-05-17 14:47:16,175.0,21.0,1048.0,199.0,118.0,151.0,308.0,5954.0,Official Kaggle API.,42.0,32,True,2024-05-17 17:24:39.000,1.6.14,72.0,kaggle,conda-forge/kaggle,,,,206.0,21.0,https://pypi.org/project/kaggle,2024-05-17 17:24:39.000,185.0,208443.0,211926.0,https://anaconda.org/conda-forge/kaggle,2024-05-17 23:52:36.218,153280.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +222,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 17:20:35.000,2024-04-01 08:16:02.000000,2024-04-01 08:13:40,1215.0,6.0,651.0,63.0,133.0,59.0,437.0,5810.0,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",41.0,32,True,2024-04-01 08:16:02.000,2.5.0,210.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],1540.0,1507.0,https://pypi.org/project/pytorch-metric-learning,2024-04-01 08:03:08.000,33.0,403247.0,403467.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2023-06-16 19:17:36.446,11459.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +223,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2024-05-18 12:01:53.615000,2024-05-07 13:49:33,2334.0,2.0,1105.0,189.0,235.0,273.0,281.0,5590.0,Distributed Evolutionary Algorithms in Python.,88.0,32,False,2023-07-21 10:51:54.000,1.4.1,27.0,deap,conda-forge/deap,,,,5012.0,4781.0,https://pypi.org/project/deap,2023-07-21 10:51:54.000,231.0,214785.0,223605.0,https://anaconda.org/conda-forge/deap,2024-05-18 12:01:53.615,379282.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +224,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2024-05-22 20:07:47.000000,2024-04-17 17:08:08,2178.0,26.0,286.0,43.0,2142.0,345.0,654.0,4851.0,Aim An easy-to-use & supercharged open-source experiment tracker.,64.0,32,True,2024-04-17 17:16:40.000,3.19.3,1006.0,aim,conda-forge/aim,,,,594.0,560.0,https://pypi.org/project/aim,2024-05-22 20:07:47.000,34.0,80239.0,81633.0,https://anaconda.org/conda-forge/aim,2023-06-16 19:26:46.894,47408.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +225,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2024-05-03 19:17:17.000000,2023-11-23 21:41:49,1136.0,,632.0,89.0,270.0,40.0,252.0,4316.0,Geocoding library for Python.,133.0,32,True,2023-11-23 21:50:14.000,2.4.1,61.0,geopy,conda-forge/geopy,,,,786.0,,https://pypi.org/project/geopy,2023-11-23 21:49:30.000,786.0,5196208.0,5224377.0,https://anaconda.org/conda-forge/geopy,2024-02-28 17:12:19.096,1323976.0,,,,,3.0,47.0,,,,,,,,,,,,,,,,,,, +226,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,Apache-2.0,2012-08-24 16:14:59.000,2024-05-21 07:56:58.000000,2024-03-15 22:39:59,618.0,4.0,118.0,75.0,71.0,19.0,124.0,3724.0,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,32,True,2024-03-15 22:38:56.000,6.2.0,50.0,ftfy,conda-forge/ftfy,,,,20049.0,19555.0,https://pypi.org/project/ftfy,2024-03-15 22:38:56.000,494.0,4914014.0,4921185.0,https://anaconda.org/conda-forge/ftfy,2023-11-22 19:57:21.457,286855.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +227,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2024-05-20 18:12:28.000000,2024-05-03 16:54:19,704.0,4.0,258.0,43.0,825.0,99.0,285.0,2943.0,PyTorch extensions for high performance and large scale training.,75.0,32,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],5178.0,5112.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,66.0,521017.0,527703.0,https://anaconda.org/conda-forge/fairscale,2023-11-28 00:29:10.363,200599.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +228,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 21:10:54.000,2024-03-15 06:37:00.287000,2021-10-12 13:32:38,1570.0,,545.0,64.0,546.0,322.0,393.0,2725.0,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,32,False,2024-03-14 18:24:11.000,0.10.1,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,337.0,,https://pypi.org/project/scikit-optimize,2024-03-14 18:24:11.000,337.0,797986.0,813969.0,https://anaconda.org/conda-forge/scikit-optimize,2024-03-15 06:37:00.287,719279.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +229,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2024-05-21 04:42:08.000000,2024-05-21 04:42:08,2951.0,20.0,691.0,74.0,865.0,274.0,630.0,2628.0,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",127.0,32,True,2024-03-08 20:41:28.000,0.1.25,25.0,pgmpy,,,,,1015.0,972.0,https://pypi.org/project/pgmpy,2024-03-08 20:00:14.000,43.0,53817.0,53824.0,,,,,,,,2.0,344.0,,,,,,,,,,,,,,,,,,, +230,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2024-03-07 12:10:22.000000,2024-03-07 12:10:22,2293.0,1.0,584.0,69.0,481.0,247.0,705.0,2295.0,Survival analysis in Python.,117.0,32,True,2024-01-03 22:01:02.000,0.28.0,170.0,lifelines,conda-forge/lifelines,,,,2620.0,2493.0,https://pypi.org/project/lifelines,2024-01-03 22:01:02.000,127.0,512246.0,519153.0,https://anaconda.org/conda-forge/lifelines,2023-09-13 16:31:11.545,331568.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +231,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2024-04-04 16:01:23.000000,2024-03-18 20:30:45,1372.0,19.0,320.0,22.0,47.0,35.0,202.0,2243.0,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,21.0,32,True,2024-03-18 21:02:33.000,0.4.7,91.0,explainerdashboard,conda-forge/explainerdashboard,,,,491.0,481.0,https://pypi.org/project/explainerdashboard,2024-03-18 21:02:33.000,10.0,78965.0,80069.0,https://anaconda.org/conda-forge/explainerdashboard,2024-03-18 22:16:35.129,45286.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +232,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2024-05-23 07:15:44.000000,2024-05-21 18:45:56,5643.0,95.0,692.0,88.0,5911.0,228.0,856.0,2080.0,TFX is an end-to-end platform for deploying production ML pipelines.,185.0,32,True,2024-05-13 23:20:24.000,1.15.1,98.0,tfx,,,,['tensorflow'],17.0,,https://pypi.org/project/tfx,2024-05-13 23:20:24.000,17.0,73211.0,73211.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +233,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,MIT,2010-07-09 20:41:11.000,2024-03-28 16:57:11.000000,2024-03-28 16:57:04,547.0,4.0,155.0,42.0,77.0,6.0,127.0,1998.0,a python library for doing approximate and phonetic matching of strings.,31.0,32,True,2023-11-17 20:44:09.000,1.0.3,42.0,jellyfish,conda-forge/jellyfish,,,,9204.0,8965.0,https://pypi.org/project/jellyfish,2023-11-17 20:44:09.000,239.0,3732043.0,3750300.0,https://anaconda.org/conda-forge/jellyfish,2023-11-17 23:08:09.681,858111.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +234,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2024-04-27 15:12:40.000000,2024-04-27 13:25:47,209.0,16.0,253.0,56.0,76.0,50.0,227.0,1945.0,A Python wrapper for the tesseract-ocr API.,30.0,32,True,2024-04-27 15:12:40.000,2.7.0,21.0,tesserocr,conda-forge/tesserocr,,,,1020.0,986.0,https://pypi.org/project/tesserocr,2024-04-27 15:12:40.000,34.0,68339.0,70887.0,https://anaconda.org/conda-forge/tesserocr,2023-06-16 16:18:15.161,140065.0,,,,,2.0,248.0,,,,,,,,,,,,,,,,,,, +235,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2024-05-09 19:34:13.000000,2024-04-30 09:39:08,943.0,5.0,224.0,49.0,323.0,181.0,132.0,1844.0,Evaluate: A library for easily evaluating machine learning models and datasets.,126.0,32,True,2024-04-30 09:45:36.000,0.4.2,15.0,evaluate,,,,,9588.0,9253.0,https://pypi.org/project/evaluate,2024-04-30 09:44:17.000,335.0,2965925.0,2965925.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +236,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2024-04-19 13:09:14.696000,2024-02-23 02:45:37,1079.0,,227.0,34.0,251.0,57.0,272.0,1534.0,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",23.0,32,True,2023-10-23 16:52:00.000,2.0.4,44.0,pmdarima,conda-forge/pmdarima,,,,8293.0,8155.0,https://pypi.org/project/pmdarima,2023-10-23 14:02:41.000,138.0,2535649.0,2560521.0,https://anaconda.org/conda-forge/pmdarima,2024-04-19 13:09:14.696,1069504.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +237,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2024-04-30 20:12:22.000000,2024-04-30 20:12:21,936.0,11.0,210.0,58.0,101.0,44.0,174.0,982.0,Input pipeline framework.,28.0,32,True,2024-04-24 22:55:08.000,1.15.0,57.0,tensorflow-transform,,,,['tensorflow'],1834.0,1817.0,https://pypi.org/project/tensorflow-transform,2024-04-24 22:55:08.000,17.0,968816.0,968816.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +238,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2024-05-23 14:30:43.000000,2024-05-22 16:27:01,11492.0,120.0,235.0,55.0,12179.0,232.0,2187.0,943.0,Cloud-native genomic dataframes and batch computing.,92.0,32,True,2024-04-10 20:37:13.000,0.2.130,150.0,hail,,,,['spark'],160.0,130.0,https://pypi.org/project/hail,2024-04-10 20:37:13.000,30.0,35259.0,35259.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +239,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2024-05-20 19:50:12.000000,2024-04-24 04:18:42,1684.0,10.0,275.0,41.0,1365.0,288.0,363.0,690.0,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",107.0,32,True,2024-05-01 02:14:32.000,0.37.0,44.0,tensorflow-io,,,,['tensorflow'],60.0,,https://pypi.org/project/tensorflow-io,2024-05-01 02:12:48.000,60.0,3997287.0,3997287.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +240,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCm/tensorflow-upstream,https://github.com/ROCm/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2024-05-23 01:33:00.000000,2024-05-20 07:29:51,168792.0,3899.0,89.0,51.0,2174.0,86.0,286.0,679.0,TensorFlow ROCm port.,4634.0,32,True,2022-12-06 16:42:53.965,2.9.4,100.0,tensorflow-rocm,,,,['tensorflow'],6.0,,https://pypi.org/project/tensorflow-rocm,2024-01-10 14:33:03.000,6.0,4637.0,4637.0,,,,,,,,3.0,21.0,,,ROCm/tensorflow-upstream,,,,,,,,,,,,,,,, +241,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2024-03-17 08:58:36.000000,2023-07-13 08:50:20,531.0,,2736.0,383.0,120.0,232.0,562.0,25055.0,Deezer source separation library including pretrained models.,19.0,31,True,2023-07-10 10:07:01.047,2.4.0,37.0,spleeter,conda-forge/spleeter,,,['tensorflow'],723.0,717.0,https://pypi.org/project/spleeter,2022-06-10 13:19:35.000,6.0,13722.0,72456.0,https://anaconda.org/conda-forge/spleeter,2023-06-16 16:18:57.741,82325.0,,,,,2.0,3146592.0,,,,,,,,,,,,,,,,,,, +242,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2024-05-23 12:47:41.000000,2024-05-21 00:15:18,1969.0,12.0,2467.0,285.0,917.0,223.0,680.0,14306.0,"Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and..",126.0,31,True,2024-05-07 10:16:46.000,0.9.4,33.0,pyqlib,,,,['pytorch'],22.0,21.0,https://pypi.org/project/pyqlib,2024-05-07 10:16:46.000,1.0,2632.0,2645.0,,,,,,,,1.0,581.0,,,,,,,,,,,,,,,,,,, +243,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,,2074.0,184.0,1005.0,574.0,724.0,12552.0,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",69.0,31,False,2023-09-20 10:33:08.000,2.4.0,50.0,paddlehub,,,,['paddle'],1633.0,1626.0,https://pypi.org/project/paddlehub,2023-09-20 10:33:08.000,7.0,7132.0,7142.0,,,,,,,,2.0,680.0,,,,,,,,,,,,,,,,,,, +244,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2024-05-03 20:57:52.000000,2024-02-20 22:38:05,385.0,,2150.0,285.0,98.0,311.0,448.0,8437.0,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,19.0,31,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1626.0,1607.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,19.0,9337.0,22158.0,https://anaconda.org/conda-forge/imageai,2023-06-16 19:21:01.568,7138.0,,,,,2.0,924661.0,,,,,,,,,,,,,,,,,,, +245,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2024-04-22 20:07:04.000000,2024-03-11 18:51:26,551.0,1.0,1197.0,168.0,431.0,67.0,470.0,8138.0,Automatic extraction of relevant features from time series:.,92.0,31,True,2024-01-28 09:46:21.000,0.20.2,31.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],96.0,21.0,https://pypi.org/project/tsfresh,2024-01-28 09:46:21.000,75.0,243492.0,271669.0,https://anaconda.org/conda-forge/tsfresh,2024-01-28 10:39:22.145,1352541.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +246,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2024-05-23 08:03:46.000000,2024-05-23 04:25:54,5985.0,60.0,1005.0,117.0,1647.0,104.0,652.0,7603.0,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",93.0,31,True,2024-05-23 08:03:19.000,2.10.1,121.0,perspective-python,conda-forge/perspective,,,['jupyter'],149.0,123.0,https://pypi.org/project/perspective-python,2024-05-23 07:42:47.000,22.0,4580.0,21609.0,https://anaconda.org/conda-forge/perspective,2024-03-26 20:17:11.439,614033.0,,,,,2.0,2699.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2024-03-25 22:45:31.297,4.0,3696.0,,,,,,,,,,, +247,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-12-23 06:14:58.000000,2020-07-15 13:46:58,1184.0,,1716.0,303.0,294.0,161.0,268.0,5451.0,Portfolio and risk analytics in Python.,60.0,31,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,1021.0,1009.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,12.0,8514.0,8689.0,https://anaconda.org/conda-forge/pyfolio,2023-06-16 16:07:59.111,13180.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +248,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2024-05-21 23:30:02.000000,2022-09-24 16:20:26,585.0,,927.0,100.0,225.0,108.0,455.0,4835.0,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 150+ Indicators.,45.0,31,False,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],3973.0,3874.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,99.0,107254.0,107918.0,https://anaconda.org/conda-forge/pandas-ta,2023-06-16 19:27:34.124,20607.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +249,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2024-05-22 00:27:35.000000,2024-05-20 03:43:37,3875.0,25.0,526.0,85.0,566.0,110.0,477.0,4813.0,Online machine learning in Python.,114.0,31,True,2024-04-23 13:20:18.000,0.21.1,21.0,river,conda-forge/river,,,,539.0,488.0,https://pypi.org/project/river,2024-04-23 10:26:48.000,51.0,36492.0,38073.0,https://anaconda.org/conda-forge/river,2023-10-06 14:40:00.791,58522.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2024-05-20 03:37:07.000000,2024-05-09 21:11:54,613.0,20.0,743.0,83.0,342.0,54.0,331.0,4810.0,Uplift modeling and causal inference with machine learning algorithms.,62.0,31,True,2024-04-19 00:19:00.000,0.15.1,24.0,causalml,,,,,199.0,198.0,https://pypi.org/project/causalml,2024-04-19 00:19:00.000,1.0,65361.0,65361.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +251,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 09:34:48.000,2024-05-07 13:10:17.000000,2024-04-30 18:31:30,796.0,11.0,383.0,75.0,288.0,58.0,516.0,4578.0,Visualizer for pandas data structures.,30.0,31,True,2024-04-30 18:56:18.000,3.12.0,182.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",1151.0,1112.0,https://pypi.org/project/dtale,2024-04-30 18:56:18.000,39.0,60667.0,66569.0,https://anaconda.org/conda-forge/dtale,2024-04-30 19:55:43.333,283302.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +252,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2024-01-27 06:33:38.000000,2022-01-27 13:24:16,139.0,,1026.0,153.0,115.0,161.0,79.0,4489.0,"A series of convenience functions to make basic image processing operations such as translation, rotation, resizing,..",21.0,31,False,2021-01-15 10:53:17.000,0.5.4,29.0,imutils,conda-forge/imutils,,,,43493.0,43078.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,415.0,646728.0,650328.0,https://anaconda.org/conda-forge/imutils,2023-10-27 09:12:56.985,165616.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +253,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2024-05-22 20:34:02.000000,2024-05-22 18:35:38,15436.0,69.0,505.0,69.0,3500.0,880.0,1584.0,3968.0,cuML - RAPIDS Machine Learning Library.,172.0,31,True,2024-04-10 20:54:06.000,24.04.00,38.0,cuml,,,,,13.0,,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,13.0,2980.0,2980.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +254,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2024-05-15 19:48:26.000000,2024-04-22 03:28:24,3849.0,16.0,541.0,59.0,893.0,356.0,974.0,3434.0,A highly efficient implementation of Gaussian Processes in PyTorch.,130.0,31,True,2023-06-02 22:04:02.000,1.11,38.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],2243.0,2090.0,https://pypi.org/project/gpytorch,2023-06-02 22:13:00.914,153.0,217725.0,221017.0,https://anaconda.org/conda-forge/gpytorch,2023-08-11 22:34:06.614,158044.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +255,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2023-12-01 17:10:01.000000,2023-11-08 12:40:01,3273.0,,704.0,185.0,737.0,274.0,669.0,3410.0,DyNet: The Dynamic Neural Network Toolkit.,160.0,31,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,274.0,256.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,18.0,308597.0,308771.0,,,,,,,,3.0,15855.0,,,,,,,,,,,,,,,,,,, +256,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2024-03-19 06:24:29.000000,2022-05-31 03:18:45,1556.0,,438.0,94.0,124.0,86.0,348.0,3305.0,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,,,,1192.0,1132.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,60.0,229196.0,231841.0,https://anaconda.org/conda-forge/nmslib,2023-09-26 10:22:21.295,113754.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +257,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2024-02-07 10:05:31.000000,2022-08-22 18:21:12,586.0,,606.0,78.0,78.0,72.0,161.0,3180.0,"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,,,,6069.0,5962.0,https://pypi.org/project/filterpy,2021-12-15 15:49:27.374,107.0,1855833.0,1858791.0,https://anaconda.org/conda-forge/filterpy,2023-06-16 13:24:39.196,245584.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +258,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2024-05-23 12:38:06.000000,2024-05-23 12:37:11,1303.0,19.0,284.0,57.0,224.0,55.0,421.0,3035.0,STUMPY is a powerful and scalable Python library for modern time series analysis.,37.0,31,True,2023-08-21 11:33:22.000,1.12.0,28.0,stumpy,conda-forge/stumpy,,,,774.0,751.0,https://pypi.org/project/stumpy,2023-08-21 11:33:22.000,23.0,232175.0,253046.0,https://anaconda.org/conda-forge/stumpy,2023-08-21 11:50:40.587,980976.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +259,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2024-05-20 14:07:09.000000,2023-10-24 18:29:08,333.0,,324.0,66.0,76.0,15.0,123.0,3027.0,A Python Perceptual Image Hashing Module.,26.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,13227.0,13011.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,216.0,1744372.0,1748464.0,https://anaconda.org/conda-forge/imagehash,2023-06-16 13:23:10.041,368307.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +260,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2024-05-22 19:32:05.771000,2024-04-05 20:34:01,476.0,7.0,736.0,119.0,125.0,65.0,370.0,2957.0,"Hidden Markov Models in Python, with scikit-learn like API.",48.0,31,True,2024-03-02 03:05:38.000,0.3.2,13.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],2603.0,2525.0,https://pypi.org/project/hmmlearn,2024-03-02 03:05:38.000,78.0,194864.0,199961.0,https://anaconda.org/conda-forge/hmmlearn,2024-05-22 19:32:05.771,224279.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +261,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 22:38:21.000,2024-04-01 18:35:40.000000,2024-03-04 19:25:47,1086.0,7.0,384.0,62.0,494.0,210.0,271.0,2837.0,A Hyperparameter Tuning Library for Keras.,61.0,31,True,2024-03-04 19:41:39.000,1.4.7,35.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],3819.0,3714.0,https://pypi.org/project/keras-tuner,2024-03-04 19:41:39.000,105.0,268209.0,269167.0,https://anaconda.org/conda-forge/keras-tuner,2024-03-05 15:33:09.039,31645.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +262,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 07:14:02.000,2024-05-22 09:28:20.000000,2024-05-22 09:27:50,979.0,9.0,226.0,39.0,536.0,71.0,175.0,2816.0,JAX-based neural network library.,81.0,31,True,2024-02-28 18:11:54.000,0.0.12,15.0,dm-haiku,conda-forge/dm-haiku,,,,2022.0,1866.0,https://pypi.org/project/dm-haiku,2024-02-28 18:11:54.000,156.0,226191.0,226622.0,https://anaconda.org/conda-forge/dm-haiku,2024-02-28 22:18:23.853,16825.0,,,,,3.0,,,,google-deepmind/dm-haiku,,,,,,,,,,,,,,,, +263,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 13:08:13.000,2024-04-23 19:51:43.000000,2024-03-20 01:04:29,1637.0,2.0,323.0,60.0,189.0,126.0,195.0,2808.0,The machine learning toolkit for time series analysis in Python.,43.0,31,True,2023-12-12 14:39:23.000,0.6.3,100.0,tslearn,conda-forge/tslearn,,,['sklearn'],1337.0,1266.0,https://pypi.org/project/tslearn,2023-12-12 14:39:23.000,71.0,354327.0,382262.0,https://anaconda.org/conda-forge/tslearn,2024-02-04 18:41:01.911,1312957.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +264,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2024-05-23 14:28:19.000000,2024-05-22 09:39:01,1180.0,21.0,243.0,26.0,1025.0,101.0,423.0,2787.0,A python library for self-supervised learning on images.,40.0,31,True,2024-05-16 12:53:22.000,1.5.4,118.0,lightly,,,,['pytorch'],266.0,255.0,https://pypi.org/project/lightly,2024-05-16 12:54:13.000,11.0,30892.0,30892.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +265,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 13:32:37.000,2024-05-22 21:00:42.000000,2024-05-22 21:00:42,1001.0,4.0,482.0,56.0,138.0,349.0,168.0,2691.0,A high performance implementation of HDBSCAN clustering.,89.0,31,True,2023-07-18 17:54:02.116,0.8.33,51.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],3786.0,3487.0,https://pypi.org/project/hdbscan,2023-11-20 19:06:35.000,299.0,620105.0,664722.0,https://anaconda.org/conda-forge/hdbscan,2024-04-18 14:14:17.442,1918540.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +266,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2024-05-23 13:46:44.000000,2024-05-23 01:37:16,1146.0,44.0,292.0,34.0,476.0,99.0,371.0,2545.0,Scalable and user friendly neural forecasting algorithms.,44.0,31,True,2024-05-07 16:36:59.000,1.7.2,23.0,neuralforecast,conda-forge/neuralforecast,,,,164.0,148.0,https://pypi.org/project/neuralforecast,2024-05-07 16:36:59.000,16.0,38842.0,39431.0,https://anaconda.org/conda-forge/neuralforecast,2024-05-08 05:29:53.055,15332.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,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 19:32:37.000,2024-04-09 11:39:30.000000,2024-04-09 11:39:30,957.0,4.0,394.0,39.0,150.0,45.0,242.0,2373.0,A library of sklearn compatible categorical variable encoders.,70.0,31,True,2023-10-29 20:29:52.000,2.6.3,32.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],2011.0,1769.0,https://pypi.org/project/category_encoders,2023-10-29 20:29:52.000,242.0,1669693.0,1678018.0,https://anaconda.org/conda-forge/category_encoders,2023-10-30 01:23:52.252,258089.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +268,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2024-01-11 18:01:50.000000,2023-12-23 13:05:00,887.0,,356.0,83.0,167.0,216.0,146.0,2327.0,An interactive data visualization tool which brings matplotlib graphics to the browser using D3.,52.0,31,True,2023-12-23 13:04:29.963,0.5.10,19.0,mpld3,conda-forge/mpld3,,,,6142.0,6002.0,https://pypi.org/project/mpld3,2023-12-23 13:03:02.000,131.0,490361.0,495382.0,https://anaconda.org/conda-forge/mpld3,2023-12-23 15:16:22.285,198215.0,,,,,2.0,,,,,mpld3,https://www.npmjs.com/package/mpld3,2023-12-23 13:04:29.963,9.0,804.0,,,,,,,,,,, +269,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2024-05-23 15:01:00.000000,2024-05-22 22:43:29,4084.0,232.0,46.0,165.0,531.0,139.0,420.0,1464.0,Multiplatform plotting library based on the Grammar of Graphics.,20.0,31,True,2024-04-25 16:12:39.000,4.3.2,74.0,lets-plot,,,,,85.0,77.0,https://pypi.org/project/lets-plot,2024-04-25 15:31:02.000,8.0,22354.0,22366.0,,,,,,,,2.0,679.0,,,,,,,,,,,,,,,,,,, +270,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2024-05-02 00:41:56.000000,2024-05-02 00:41:53,947.0,8.0,430.0,87.0,229.0,55.0,241.0,1430.0,The Python ensemble sampling toolkit for affine-invariant MCMC.,74.0,31,True,2024-04-19 10:03:17.000,3.1.6,27.0,emcee,conda-forge/emcee,,,,2776.0,2388.0,https://pypi.org/project/emcee,2024-04-19 10:03:17.000,388.0,155250.0,164795.0,https://anaconda.org/conda-forge/emcee,2024-04-22 14:43:59.507,334105.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +271,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2024-05-22 10:31:58.000000,2024-05-19 03:26:04,1555.0,21.0,166.0,16.0,806.0,116.0,445.0,1294.0,Clean APIs for data cleaning. Python implementation of R package Janitor.,108.0,31,True,2024-03-21 03:35:03.000,0.27.0,60.0,pyjanitor,conda-forge/pyjanitor,,,,642.0,614.0,https://pypi.org/project/pyjanitor,2024-03-21 03:34:57.000,28.0,76388.0,80446.0,https://anaconda.org/conda-forge/pyjanitor,2024-03-21 06:08:00.698,194797.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +272,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,,2014-08-29 15:41:28.000,2024-05-22 21:11:36.000000,2024-05-17 11:02:01,1129.0,9.0,245.0,45.0,521.0,37.0,183.0,1262.0,ARCH models in Python.,35.0,31,False,2024-04-16 17:35:41.000,7.0.0,47.0,arch,conda-forge/arch-py,,,,1735.0,1644.0,https://pypi.org/project/arch,2024-04-16 17:35:41.000,91.0,485516.0,491949.0,https://anaconda.org/conda-forge/arch-py,2024-05-17 19:52:40.969,302367.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +273,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2024-05-23 09:39:19.000000,2024-05-20 10:07:03,13424.0,164.0,279.0,34.0,1789.0,463.0,632.0,1020.0,Python package for earth-observing satellite data processing.,153.0,31,False,2024-04-22 16:20:44.000,0.48.0,93.0,satpy,conda-forge/satpy,,,,152.0,127.0,https://pypi.org/project/satpy,2024-02-21 11:29:00.000,25.0,7723.0,11840.0,https://anaconda.org/conda-forge/satpy,2024-04-23 06:53:48.899,193519.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +274,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2024-05-08 14:11:18.000000,2024-05-06 11:56:52,685.0,29.0,99.0,24.0,537.0,337.0,420.0,966.0,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",46.0,31,True,2024-05-07 03:58:11.000,0.10.0,70.0,hvplot,conda-forge/hvplot,,,,5226.0,5054.0,https://pypi.org/project/hvplot,2024-05-06 12:24:45.000,172.0,228991.0,241179.0,https://anaconda.org/conda-forge/hvplot,2024-05-07 04:39:01.018,572851.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +275,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2024-01-05 15:46:09.327000,2024-01-04 18:54:38,558.0,,102.0,32.0,60.0,71.0,80.0,924.0,Describing statistical models in Python using symbolic formulas.,19.0,31,True,2024-01-04 18:58:03.000,0.5.6,13.0,patsy,conda-forge/patsy,,,,96607.0,96125.0,https://pypi.org/project/patsy,2024-01-04 18:55:57.000,482.0,15267841.0,15596151.0,https://anaconda.org/conda-forge/patsy,2024-01-05 15:46:09.327,10505950.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +276,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2024-04-22 23:18:58.000000,2024-04-22 23:18:58,1950.0,30.0,230.0,18.0,296.0,50.0,268.0,836.0,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",46.0,31,True,2024-04-22 16:08:04.000,1.5.0,48.0,salib,conda-forge/salib,,,,1224.0,1108.0,https://pypi.org/project/salib,2024-04-22 16:08:04.000,116.0,184570.0,188200.0,https://anaconda.org/conda-forge/salib,2024-04-22 19:44:20.663,156096.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +277,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 11:25:57.000,2024-05-23 12:45:58.000000,2024-05-21 10:21:49,2059.0,132.0,58.0,18.0,1557.0,23.0,211.0,541.0,The MLOps stack component for experiment tracking.,54.0,31,True,2024-05-15 10:02:27.000,1.10.4,207.0,neptune-client,conda-forge/neptune-client,,,,558.0,481.0,https://pypi.org/project/neptune-client,2024-05-15 10:02:27.000,77.0,527728.0,532764.0,https://anaconda.org/conda-forge/neptune-client,2024-05-15 11:17:51.713,241737.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +278,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2024-05-22 03:52:53.000000,2024-05-20 18:26:47,17133.0,37.0,111.0,27.0,3580.0,521.0,3389.0,492.0,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2024-04-19 23:11:19.000,1.0.2,114.0,datalad,conda-forge/datalad,,,,490.0,398.0,https://pypi.org/project/datalad,2024-04-19 23:11:19.000,92.0,19309.0,29123.0,https://anaconda.org/conda-forge/datalad,2024-04-20 02:44:01.193,461302.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +279,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2024-05-11 15:05:28.000000,2024-05-11 15:04:32,307.0,5.0,2793.0,145.0,46.0,120.0,137.0,18310.0,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",21.0,30,True,2024-05-11 15:05:28.000,1.6.9,189.0,vit-pytorch,,,,['pytorch'],477.0,466.0,https://pypi.org/project/vit-pytorch,2024-05-11 15:05:28.000,11.0,22300.0,22300.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +280,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,,4300.0,1252.0,557.0,840.0,2543.0,17478.0,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",275.0,30,False,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,21.0,2.0,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,19.0,435.0,580.0,,,,,,,,3.0,14547.0,,,,,,,,,,,,,,,,,,, +281,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-11-03 14:30:00.000000,2023-11-03 14:30:00,4358.0,,2095.0,283.0,3401.0,51.0,1494.0,10434.0,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,217.0,30,True,2023-06-06 20:46:16.091,1.7.2,25.0,parlai,,,,['pytorch'],26.0,21.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,5.0,3109.0,3109.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +282,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2024-05-21 19:54:54.000000,2024-05-13 09:26:23,2930.0,40.0,2217.0,198.0,446.0,220.0,474.0,9208.0,FinRL: Financial Reinforcement Learning.,113.0,30,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,39.0,39.0,https://pypi.org/project/finrl,2022-01-08 13:58:14.000,,1289.0,1289.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +283,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-12-25 14:05:19.000000,2023-04-18 11:08:13,2759.0,,1267.0,215.0,711.0,187.0,829.0,7430.0,Automated Machine Learning with scikit-learn.,88.0,30,False,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],601.0,569.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,32.0,16593.0,17192.0,https://anaconda.org/conda-forge/auto-sklearn,2023-06-16 19:25:30.278,22182.0,,,,,2.0,52.0,,,,,,,,,,,,,,,,,,, +284,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2024-05-22 19:51:29.000000,2024-05-22 18:28:12,1010.0,21.0,904.0,136.0,699.0,129.0,318.0,6812.0,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,89.0,30,True,2023-12-25 07:11:09.000,0.11.1,15.0,dowhy,conda-forge/dowhy,,,,374.0,367.0,https://pypi.org/project/dowhy,2023-12-25 07:11:09.000,7.0,49299.0,49792.0,https://anaconda.org/conda-forge/dowhy,2024-01-26 10:57:10.385,20720.0,,,,,2.0,35.0,,,,,,,,,,,,,,,,,,, +285,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2024-04-10 13:26:10.000000,2023-01-31 19:40:04,3203.0,,1383.0,189.0,785.0,44.0,423.0,6092.0,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",132.0,30,False,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],660.0,653.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,7.0,1942.0,2109.0,https://anaconda.org/conda-forge/cleverhans,2023-06-16 19:20:32.486,7860.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +286,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2024-04-19 02:47:07.000000,2023-01-19 00:37:33,900.0,,1236.0,153.0,951.0,63.0,788.0,5759.0,Gluon CV Toolkit.,119.0,30,False,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],76.0,21.0,https://pypi.org/project/gluoncv,2023-02-03 18:46:00.371,55.0,66620.0,66620.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +287,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2024-05-08 23:39:09.000000,2024-05-08 23:39:06,618.0,8.0,696.0,108.0,190.0,12.0,344.0,5570.0,Python-tesseract is an optical character recognition (OCR) tool for python.,49.0,30,True,2023-10-15 15:39:44.000,0.3.13,27.0,pytesseract,conda-forge/pytesseract,,,,844.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,844.0,2094131.0,2107297.0,https://anaconda.org/conda-forge/pytesseract,2023-10-15 19:50:43.241,605668.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +288,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-05-21 16:05:57.000000,2024-05-21 15:50:17,1604.0,45.0,817.0,146.0,1515.0,351.0,399.0,4988.0,Simple and Distributed Machine Learning.,118.0,30,True,2024-04-11 00:33:42.000,1.0.4,48.0,synapseml,,,,,5.0,,https://pypi.org/project/synapseml,2024-04-11 00:33:42.000,5.0,235033.0,235033.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +289,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2024-05-23 09:00:21.000000,2024-05-21 14:26:58,1460.0,13.0,734.0,74.0,1794.0,313.0,629.0,4360.0,Probabilistic time series modeling in Python.,112.0,30,True,2024-02-02 12:38:04.000,0.14.4,108.0,gluonts,anaconda/gluonts,,,['mxnet'],27.0,,https://pypi.org/project/gluonts,2024-02-02 12:38:04.000,27.0,270841.0,270865.0,https://anaconda.org/anaconda/gluonts,2023-12-22 09:31:03.436,763.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +290,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2024-05-23 02:03:20.000000,2023-11-02 13:49:44,662.0,,844.0,150.0,129.0,133.0,104.0,4065.0,Technical Analysis Library using Pandas and Numpy.,34.0,30,True,2023-11-02 13:53:35.000,0.11.0,56.0,ta,conda-forge/ta,,,,3478.0,3389.0,https://pypi.org/project/ta,2023-11-02 13:53:35.000,89.0,120081.0,120743.0,https://anaconda.org/conda-forge/ta,2023-11-02 22:03:30.766,25833.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2024-03-18 02:23:40.000000,2023-12-19 14:36:52,3303.0,,537.0,120.0,371.0,77.0,737.0,3990.0,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",70.0,30,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,344.0,326.0,https://pypi.org/project/dedupe,2023-02-17 16:58:05.493,18.0,68701.0,70405.0,https://anaconda.org/conda-forge/dedupe,2023-06-16 19:28:08.623,49440.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2024-05-09 18:32:20.000000,2024-04-08 14:14:18,1091.0,3.0,346.0,58.0,1348.0,130.0,174.0,3861.0,A Python toolbox for performing gradient-free optimization.,55.0,30,True,2024-02-20 14:59:08.000,1.0.2,47.0,nevergrad,conda-forge/nevergrad,,,,725.0,679.0,https://pypi.org/project/nevergrad,2024-02-20 14:59:08.000,46.0,239995.0,241006.0,https://anaconda.org/conda-forge/nevergrad,2024-01-09 16:02:07.312,48555.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +293,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2024-05-21 05:38:23.000000,2024-03-15 01:19:18,1424.0,2.0,458.0,56.0,777.0,43.0,475.0,3672.0,NeuralProphet: A simple forecasting package.,53.0,30,True,2024-02-23 20:22:47.000,0.8.0,34.0,neuralprophet,,,,['pytorch'],447.0,442.0,https://pypi.org/project/neuralprophet,2024-02-23 20:22:47.000,5.0,155253.0,155253.0,,,,,,,,2.0,,-2.0,,,,,,,,,,,,,,,,,, +294,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2024-05-22 09:08:18.000000,2024-05-20 08:31:13,502.0,18.0,540.0,40.0,526.0,12.0,,3647.0,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,44.0,30,True,2024-05-20 08:40:32.000,0.11.16,102.0,sahi,conda-forge/sahi,,,,1117.0,1092.0,https://pypi.org/project/sahi,2024-05-20 08:40:32.000,25.0,114990.0,117506.0,https://anaconda.org/conda-forge/sahi,2024-05-21 00:15:11.285,58375.0,,,,,2.0,24707.0,,,,,,,,,,,,,,,,,,, +295,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2024-05-21 14:48:48.000000,2024-05-21 13:42:18,3660.0,4.0,462.0,101.0,1049.0,256.0,368.0,3574.0,Plotting library for IPython/Jupyter notebooks.,64.0,30,True,2024-02-27 15:38:38.000,0.12.43,112.0,bqplot,conda-forge/bqplot,,,['jupyter'],168.0,55.0,https://pypi.org/project/bqplot,2024-03-25 09:03:21.000,92.0,120286.0,150410.0,https://anaconda.org/conda-forge/bqplot,2024-02-19 16:46:43.025,1300491.0,,,,,3.0,,,,,bqplot,https://www.npmjs.com/package/bqplot,2024-03-25 09:04:27.051,21.0,3031.0,,,,,,,,,,, +296,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2024-03-20 16:59:01.000000,2023-11-21 21:15:59,435.0,,604.0,77.0,228.0,85.0,406.0,3440.0,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,30,True,2023-09-29 21:07:11.000,0.7.2,47.0,implicit,conda-forge/implicit,,,,1363.0,1335.0,https://pypi.org/project/implicit,2023-09-29 21:07:11.000,28.0,184923.0,199212.0,https://anaconda.org/conda-forge/implicit,2023-11-21 19:59:55.425,627490.0,,,,,1.0,786.0,,,,,,,,,,,,,,,,,,, +297,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2024-04-25 20:54:01.681000,2024-04-24 11:35:19,406.0,3.0,243.0,64.0,53.0,9.0,,3313.0,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",15.0,30,True,2024-04-24 11:36:32.000,4.6.2,28.0,textdistance,conda-forge/textdistance,,,,6448.0,6355.0,https://pypi.org/project/textdistance,2024-04-24 11:35:57.000,93.0,898419.0,911643.0,https://anaconda.org/conda-forge/textdistance,2024-04-25 20:54:01.681,554898.0,,,,,2.0,1000.0,,,,,,,,,,,,,,,,,,, +298,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2024-05-06 21:21:33.000000,2024-03-11 00:59:40,984.0,4.0,573.0,97.0,336.0,45.0,718.0,3274.0,"Fast, flexible and easy to use probabilistic modelling in Python.",73.0,30,True,2024-03-11 01:00:49.000,1.0.4,74.0,pomegranate,conda-forge/pomegranate,,,,1149.0,1095.0,https://pypi.org/project/pomegranate,2024-03-11 01:00:49.000,54.0,37262.0,40392.0,https://anaconda.org/conda-forge/pomegranate,2023-12-10 17:04:41.093,150241.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +299,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2024-05-23 12:35:56.000000,2024-05-20 15:07:51,638.0,91.0,581.0,37.0,872.0,122.0,715.0,3236.0,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",79.0,30,True,2024-03-27 16:32:44.000,1.0.1,30.0,anomalib,,,,,70.0,67.0,https://pypi.org/project/anomalib,2024-03-27 16:33:12.000,3.0,19655.0,20000.0,,,,,,,,2.0,10011.0,,,,,,,,,,,,,,,,,,, +300,Determined,determined-ai/determined,ml-frameworks,,https://github.com/determined-ai/determined,https://github.com/determined-ai/determined,Apache-2.0,2020-04-07 16:12:29.000,2024-05-23 07:28:58.000000,2024-05-22 20:30:06,7777.0,443.0,345.0,81.0,9034.0,121.0,338.0,2884.0,"Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning,..",115.0,30,True,2024-05-10 17:47:38.000,0.32.1,535.0,determined,,,https://docs.determined.ai,"['pytorch', 'tensorflow']",4.0,,https://pypi.org/project/determined,2024-05-22 16:33:06.000,4.0,44512.0,44690.0,,,,,,,,3.0,8013.0,,,,,,,,,,,,,,,,,,, +301,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2024-03-31 00:50:11.000000,2024-03-31 00:50:11,2705.0,27.0,366.0,38.0,517.0,53.0,216.0,2780.0,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",65.0,30,True,2024-03-11 02:20:29.000,0.3.10,47.0,textattack,conda-forge/textattack,,,,257.0,251.0,https://pypi.org/project/textattack,2024-03-11 02:20:29.000,6.0,3694.0,3863.0,https://anaconda.org/conda-forge/textattack,2023-06-16 19:22:50.186,7441.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +302,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2024-04-03 16:17:05.000000,2024-03-04 15:46:26,1711.0,12.0,421.0,45.0,365.0,22.0,349.0,2667.0,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",35.0,30,True,2024-03-04 20:59:17.000,3.3.4,71.0,foolbox,conda-forge/foolbox,,,,597.0,583.0,https://pypi.org/project/foolbox,2024-03-04 20:59:17.000,14.0,2565.0,2853.0,https://anaconda.org/conda-forge/foolbox,2023-06-16 19:20:41.396,13251.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +303,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2024-05-23 09:12:42.000000,2024-05-06 15:17:55,1587.0,44.0,322.0,37.0,339.0,33.0,159.0,2650.0,Shapash: User-friendly Explainability and Interpretability to Develop Reliable and Transparent Machine Learning Models.,38.0,30,True,2024-05-06 15:33:09.000,2.5.0,40.0,shapash,,,,['jupyter'],163.0,159.0,https://pypi.org/project/shapash,2024-05-06 15:33:09.000,4.0,7129.0,7129.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +304,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2024-05-06 22:09:13.000000,2024-04-05 11:33:33,2908.0,28.0,991.0,122.0,516.0,59.0,300.0,2556.0,IPython Parallel: Interactive Parallel Computing in Python.,113.0,30,False,2024-04-05 11:35:24.000,8.8.0,47.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],109.0,,https://pypi.org/project/ipyparallel,2024-04-05 11:35:24.000,109.0,515411.0,538935.0,https://anaconda.org/conda-forge/ipyparallel,2024-04-05 13:21:22.787,1011544.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +305,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2024-04-25 09:54:03.000000,2024-02-28 15:45:58,1631.0,78.0,250.0,66.0,63.0,33.0,186.0,2102.0,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,21.0,30,True,2024-02-28 15:44:03.000,2.1.0,15.0,ampligraph,,,,['tensorflow'],50.0,49.0,https://pypi.org/project/ampligraph,2024-02-26 17:12:26.000,1.0,1218.0,1218.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +306,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2024-05-23 10:06:57.000000,2024-04-30 19:42:51,1502.0,45.0,204.0,50.0,256.0,166.0,158.0,2073.0,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",42.0,30,True,2024-04-30 21:24:12.000,0.33.8,176.0,graphistry,,,,['jupyter'],120.0,114.0,https://pypi.org/project/graphistry,2024-04-30 21:24:12.000,6.0,4102.0,4102.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +307,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2024-05-23 11:53:57.000000,2024-05-23 11:53:56,896.0,37.0,126.0,21.0,380.0,118.0,238.0,1846.0,Elegant easy-to-use neural networks + scientific computing in JAX. https://docs.kidger.site/equinox/.,51.0,30,True,2024-04-14 13:04:28.000,0.11.4,48.0,equinox,,,,['jax'],684.0,558.0,https://pypi.org/project/equinox,2024-04-14 13:04:28.000,126.0,280938.0,280938.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +308,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2024-05-09 13:59:01.000000,2024-05-09 13:59:01,451.0,11.0,282.0,60.0,105.0,22.0,100.0,1806.0,ffn - a financial function library for Python.,33.0,30,True,2023-12-31 16:05:45.000,1.0.1,33.0,ffn,conda-forge/ffn,,,,473.0,457.0,https://pypi.org/project/ffn,2023-12-31 15:47:45.000,16.0,151193.0,151393.0,https://anaconda.org/conda-forge/ffn,2023-12-31 19:11:58.314,7402.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2024-04-29 20:57:51.000000,2024-04-29 20:57:51,290.0,5.0,359.0,51.0,78.0,78.0,113.0,1785.0,Python library for interactive topic model visualization. Port of the R LDAvis package.,43.0,30,True,2023-04-23 23:55:02.142,3.4.1,26.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],6160.0,6062.0,https://pypi.org/project/pyldavis,2023-04-23 23:55:02.142,98.0,154995.0,156132.0,https://anaconda.org/conda-forge/pyldavis,2023-06-16 16:08:55.034,80781.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2024-05-17 01:07:41.000000,2024-02-16 16:14:36,365.0,,261.0,48.0,314.0,248.0,184.0,1763.0,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,43.0,30,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],326.0,325.0,https://pypi.org/project/tensorflow-recommenders,2023-02-03 02:17:00.422,1.0,473645.0,473645.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +311,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2024-05-08 21:10:35.000000,2024-05-08 21:10:35,1593.0,3.0,283.0,55.0,139.0,80.0,185.0,1762.0,"CUDA integration for Python, plus shiny features.",82.0,30,True,2024-01-03 16:54:41.000,2024.1,53.0,pycuda,conda-forge/pycuda,,,,2990.0,2859.0,https://pypi.org/project/pycuda,2024-01-03 16:54:26.000,131.0,47350.0,56005.0,https://anaconda.org/conda-forge/pycuda,2024-01-06 20:33:04.514,328898.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +312,USearch,unum-cloud/usearch,nn-search,,https://github.com/unum-cloud/usearch,https://github.com/unum-cloud/usearch,Apache-2.0,2023-02-22 09:20:20.000,2024-05-23 06:44:42.000000,2024-04-29 07:26:04,1656.0,173.0,93.0,22.0,311.0,34.0,77.0,1761.0,"Fast Open-Source Search & Clustering engine for Vectors & Strings in C++, C, Python, JavaScript, Rust, Java,..",36.0,30,True,2024-04-29 07:26:08.000,2.12.0,114.0,usearch,,unum/usearch,,,94.0,74.0,https://pypi.org/project/usearch,2024-04-29 08:22:26.000,6.0,59559.0,65955.0,,,,https://hub.docker.com/r/unum/usearch,2024-04-29 07:28:41.232497,1.0,75.0,3.0,1263.0,,,,usearch,https://www.npmjs.com/package/usearch,2024-04-10 02:44:41.570,14.0,6277.0,,,,,,,,,,, +313,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2024-05-23 15:25:45.000000,2024-05-23 15:13:35,1805.0,262.0,358.0,28.0,1890.0,257.0,104.0,1741.0,Pytorch domain library for recommendation systems.,233.0,30,True,2024-04-25 01:39:04.000,0.7.0,77.0,torchrec-nightly-cpu,,,,,113.0,113.0,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,530.0,530.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +314,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2024-05-03 19:44:08.000000,2024-04-29 13:01:42,1192.0,70.0,179.0,19.0,159.0,49.0,135.0,1713.0,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,29.0,30,True,2024-03-15 11:44:36.000,0.35.0,38.0,audiomentations,,,,,500.0,487.0,https://pypi.org/project/audiomentations,2024-03-15 11:44:36.000,13.0,22165.0,22165.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +315,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2024-03-30 17:39:23.000000,2024-03-30 17:39:23,1059.0,8.0,217.0,52.0,204.0,30.0,281.0,1620.0,A full spaCy pipeline and models for scientific/biomedical documents.,33.0,30,True,2024-03-08 05:58:36.000,0.5.4,15.0,scispacy,,,,,929.0,898.0,https://pypi.org/project/scispacy,2024-03-08 05:58:36.000,31.0,25402.0,25402.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +316,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2024-04-07 13:04:52.000000,2024-04-07 13:04:52,1249.0,4.0,136.0,31.0,109.0,35.0,254.0,1544.0,Statistical package in Python based on Pandas.,45.0,30,False,2024-01-13 15:48:45.000,0.5.4,40.0,pingouin,conda-forge/pingouin,,,,2082.0,2008.0,https://pypi.org/project/pingouin,2024-01-13 15:46:36.000,74.0,66355.0,68871.0,https://anaconda.org/conda-forge/pingouin,2024-01-15 09:58:06.763,118266.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +317,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2024-04-11 17:54:34.000000,2024-04-11 17:54:34,1875.0,17.0,269.0,45.0,274.0,61.0,198.0,1504.0,TensorLy: Tensor Learning in Python.,67.0,30,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,732.0,654.0,https://pypi.org/project/tensorly,2023-03-08 01:09:02.237,78.0,32109.0,37172.0,https://anaconda.org/conda-forge/tensorly,2023-06-16 16:08:38.154,364579.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +318,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2024-05-22 17:53:40.000000,2024-04-25 13:15:07,1476.0,4.0,159.0,31.0,251.0,,,1321.0,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",22.0,30,True,2024-04-25 12:54:53.000,1.3.5,77.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],1714.0,1663.0,https://pypi.org/project/spacy-transformers,2024-04-25 12:53:43.000,51.0,275122.0,276267.0,https://anaconda.org/conda-forge/spacy-transformers,2023-12-19 11:34:09.090,34377.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +319,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2024-05-13 16:50:32.000000,2024-03-15 15:54:00,4210.0,3.0,285.0,80.0,644.0,21.0,609.0,1281.0,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,30,True,2024-01-31 22:49:04.000,24.01,37.0,pysal,conda-forge/pysal,,,,1564.0,1525.0,https://pypi.org/project/pysal,2024-01-31 22:49:08.000,39.0,25564.0,37374.0,https://anaconda.org/conda-forge/pysal,2023-10-04 23:43:19.864,543269.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +320,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2024-04-05 19:20:06.000000,2024-04-05 18:52:42,3044.0,17.0,269.0,34.0,37.0,1.0,491.0,1213.0,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,16.0,30,True,2024-04-05 19:20:07.000,0.41.3,210.0,ktrain,,,,['tensorflow'],523.0,520.0,https://pypi.org/project/ktrain,2024-04-05 18:57:50.000,3.0,10582.0,10582.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +321,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2024-05-21 08:53:03.000000,2024-05-21 08:53:03,10684.0,171.0,227.0,36.0,1477.0,206.0,350.0,1162.0,Computations and statistics on manifolds with geometric structures.,92.0,30,True,2023-08-30 05:36:10.000,2.7.0,32.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,109.0,106.0,https://pypi.org/project/geomstats,2023-08-30 05:33:32.000,3.0,2457.0,2567.0,https://anaconda.org/conda-forge/geomstats,2023-08-30 16:59:06.279,2537.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +322,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 15:56:06.000,2024-04-02 02:34:15.000000,2024-04-02 02:31:39,818.0,7.0,248.0,40.0,509.0,274.0,256.0,884.0,Scalable Machine Learning with Dask.,78.0,30,True,2024-04-02 02:33:18.000,2024.4.4,37.0,dask-ml,conda-forge/dask-ml,,,,1107.0,1018.0,https://pypi.org/project/dask-ml,2024-04-02 02:33:18.000,89.0,280266.0,297518.0,https://anaconda.org/conda-forge/dask-ml,2024-03-21 17:55:27.760,828122.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +323,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2024-05-23 13:45:24.000000,2024-05-20 11:53:29,3125.0,81.0,112.0,16.0,280.0,7.0,150.0,761.0,Python bindings for MPI.,26.0,30,True,2024-04-14 10:39:44.000,3.1.6,28.0,mpi4py,conda-forge/mpi4py,,,,674.0,,https://pypi.org/project/mpi4py,2024-04-14 10:34:55.000,674.0,232788.0,291263.0,https://anaconda.org/conda-forge/mpi4py,2024-04-15 09:42:38.104,2492479.0,,,,,2.0,23520.0,,,,,,,,,,,,,,,,,,, +324,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 15:47:02.000,2024-05-08 17:43:55.000000,2024-05-08 17:43:54,962.0,12.0,166.0,48.0,85.0,37.0,144.0,753.0,Library for exploring and validating machine learning data.,26.0,30,True,2024-04-24 23:26:22.000,1.15.1,46.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",924.0,893.0,https://pypi.org/project/tensorflow-data-validation,2024-04-24 23:54:11.000,31.0,192656.0,192665.0,,,,,,,,3.0,653.0,,,,,,,,,,,,,,,,,,, +325,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2024-05-02 04:23:06.000000,2024-05-02 04:21:55,1073.0,19.0,173.0,35.0,117.0,27.0,61.0,722.0,Snowball compiler and stemming algorithms.,34.0,30,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,410.0,5.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,405.0,15747471.0,15834116.0,https://anaconda.org/conda-forge/snowballstemmer,2023-06-16 13:16:49.834,8057998.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +326,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2024-03-04 08:10:52.000000,2023-12-15 12:50:52,282.0,,107.0,24.0,53.0,37.0,57.0,479.0,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,,,,20908.0,20785.0,https://pypi.org/project/audioread,2023-09-27 19:27:51.000,123.0,2053879.0,2071848.0,https://anaconda.org/conda-forge/audioread,2023-09-30 21:07:31.348,772670.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +327,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2024-04-23 19:58:08.000000,2023-04-19 14:13:08,2404.0,,3678.0,607.0,227.0,49.0,,13219.0,Python Backtesting library for trading strategies.,56.0,29,False,,,157.0,backtrader,,,,,2113.0,2049.0,https://pypi.org/project/backtrader,2023-04-19 14:15:00.742,64.0,20859.0,20859.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +328,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,,1840.0,217.0,46.0,96.0,94.0,8963.0,"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'],114.0,20.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,94.0,114372.0,115082.0,https://anaconda.org/conda-forge/pretrainedmodels,2023-06-16 19:20:12.183,33378.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +329,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2024-05-17 03:07:31.985000,2024-04-26 06:29:23,1174.0,6.0,1318.0,101.0,640.0,691.0,521.0,8094.0,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,127.0,29,True,,,4.0,,conda-forge/nvidia-apex,,,['pytorch'],2472.0,2472.0,,,,,4909.0,https://anaconda.org/conda-forge/nvidia-apex,2024-05-17 03:07:31.985,211121.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +330,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2024-05-20 10:08:43.793000,2024-05-19 16:15:59,658.0,6.0,1003.0,146.0,99.0,90.0,309.0,6216.0,A Python scikit for building and analyzing recommender systems.,46.0,29,True,2024-05-19 14:25:59.000,1.1.4,12.0,scikit-surprise,conda-forge/scikit-surprise,,,,57.0,21.0,https://pypi.org/project/scikit-surprise,2024-05-19 14:25:59.000,36.0,92009.0,99968.0,https://anaconda.org/conda-forge/scikit-surprise,2024-05-20 10:08:43.793,366146.0,,,,,2.0,,2.0,,,,,,,,,,,,,,,,,, +331,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2024-03-31 17:27:35.000000,2023-10-22 09:33:23,779.0,,1156.0,211.0,92.0,194.0,122.0,5702.0,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",28.0,29,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,473.0,461.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,12.0,22383.0,22383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +332,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2024-05-23 14:16:22.000000,2024-04-25 16:08:12,1087.0,1.0,378.0,80.0,531.0,59.0,454.0,5658.0,A scikit-learn compatible neural network library that wraps PyTorch.,62.0,29,True,2023-09-04 10:10:59.000,0.15.0,19.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",1318.0,1241.0,https://pypi.org/project/skorch,2023-09-04 09:59:43.000,77.0,167511.0,185255.0,https://anaconda.org/conda-forge/skorch,2023-09-06 08:43:59.780,780769.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +333,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-10-19 19:24:54.000000,2023-10-19 19:24:51,248.0,,888.0,127.0,38.0,72.0,145.0,5260.0,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'],3406.0,3317.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,89.0,731220.0,731541.0,https://anaconda.org/conda-forge/torchdiffeq,2023-06-16 19:19:05.182,15434.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +334,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,,634.0,147.0,789.0,141.0,356.0,4737.0,Deep Learning Visualization Toolkit.,33.0,29,True,2023-06-05 07:21:00.910,2.5.3,43.0,visualdl,,,,['paddle'],2926.0,2880.0,https://pypi.org/project/visualdl,2023-06-05 07:21:00.910,46.0,211830.0,211837.0,,,,,,,,2.0,365.0,,,,,,,,,,,,,,,,,,, +335,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2024-05-21 15:37:39.000000,2023-04-30 18:36:20,483.0,,676.0,88.0,207.0,153.0,356.0,4629.0,"A Python implementation of LightFM, a hybrid recommendation algorithm.",47.0,29,False,2023-03-20 04:08:46.000,1.17,15.0,lightfm,conda-forge/lightfm,,,,1473.0,1441.0,https://pypi.org/project/lightfm,2023-03-20 04:15:00.582,32.0,417069.0,419412.0,https://anaconda.org/conda-forge/lightfm,2023-06-16 16:08:40.466,178124.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +336,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,,445.0,41.0,124.0,67.0,154.0,4330.0,Data augmentation for NLP.,33.0,29,False,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,1245.0,1185.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,60.0,118536.0,119098.0,https://anaconda.org/conda-forge/nlpaug,2023-06-16 19:26:38.185,19699.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +337,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2024-02-17 21:29:54.000000,2023-11-13 07:19:19,1344.0,,375.0,69.0,367.0,98.0,460.0,4163.0,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",105.0,29,True,2023-11-13 07:24:08.000,0.8.5,29.0,sacred,conda-forge/sacred,,,,3072.0,3014.0,https://pypi.org/project/sacred,2023-11-13 07:24:08.000,58.0,30443.0,30619.0,https://anaconda.org/conda-forge/sacred,2023-11-28 14:54:27.704,5298.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +338,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2024-01-12 14:48:30.000000,2024-01-12 14:48:30,249.0,,274.0,46.0,50.0,27.0,94.0,3883.0,A simple command-line utility for querying and monitoring GPU status.,17.0,29,True,2023-08-22 19:40:33.000,1.1.1,15.0,gpustat,conda-forge/gpustat,,,,5488.0,5350.0,https://pypi.org/project/gpustat,2023-08-22 19:39:06.000,138.0,855360.0,862143.0,https://anaconda.org/conda-forge/gpustat,2023-08-23 10:35:25.821,284886.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +339,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2024-05-14 18:30:13.000000,2023-02-26 20:07:33,189.0,,510.0,76.0,38.0,12.0,121.0,3824.0,Missing data visualization module for Python.,18.0,29,False,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,16372.0,16258.0,https://pypi.org/project/missingno,2023-02-26 20:11:59.371,114.0,258261.0,425620.0,https://anaconda.org/conda-forge/missingno,2024-03-02 01:06:27.711,334719.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +340,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2024-05-02 05:07:00.000000,2024-04-18 17:19:51,1212.0,31.0,471.0,63.0,733.0,7.0,533.0,3506.0,On-device wake word detection powered by deep learning.,37.0,29,True,2024-01-30 21:38:49.000,3.0.2,34.0,pvporcupine,,,,,43.0,28.0,https://pypi.org/project/pvporcupine,2024-01-30 21:38:49.000,15.0,8010.0,8010.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +341,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2024-05-16 18:13:04.000000,2024-05-16 18:13:03,456.0,8.0,524.0,113.0,93.0,21.0,101.0,3436.0,Module for automatic summarization of text documents and HTML pages.,32.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,2773.0,2747.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,26.0,425867.0,426095.0,https://anaconda.org/conda-forge/sumy,2023-06-16 19:26:28.563,7981.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +342,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2024-05-21 23:00:48.000000,2024-02-22 12:17:17,1487.0,,245.0,19.0,1746.0,287.0,726.0,3415.0,Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all..,53.0,29,False,2024-01-31 13:08:55.000,0.18.1,60.0,deepchecks,,,,,382.0,375.0,https://pypi.org/project/deepchecks,2024-01-31 13:08:49.000,7.0,75973.0,75999.0,,,,,,,,2.0,836.0,,,,,,,,,,,,,,,,,,, +343,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2024-03-20 16:17:12.000000,2022-04-29 04:19:24,1698.0,,384.0,45.0,1085.0,2.0,353.0,3235.0,Accelerated deep learning R&D.,104.0,29,False,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],1155.0,1125.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,30.0,12228.0,12228.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +344,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2024-05-23 12:26:25.000000,2024-05-22 15:39:19,861.0,54.0,365.0,42.0,937.0,33.0,311.0,3158.0,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",46.0,29,True,2024-03-04 14:51:09.000,0.8.1,15.0,python-doctr,,,,"['tensorflow', 'pytorch']",3.0,,https://pypi.org/project/python-doctr,2024-03-04 14:51:09.000,3.0,31539.0,106932.0,,,,,,,,3.0,2940346.0,,,,,,,,,,,,,,,,,,, +345,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,,674.0,110.0,72.0,100.0,123.0,2983.0,Productivity Tools for Plotly + Pandas.,38.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],10892.0,10788.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,104.0,66060.0,66060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +346,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 03:16:39.000,2024-03-22 11:10:03.000000,2023-06-20 03:14:12,435.0,,294.0,33.0,476.0,53.0,30.0,2961.0,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'],1258.0,1174.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,84.0,133512.0,133512.0,https://anaconda.org/conda-forge/torch-optimizer,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +347,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2024-05-22 19:47:51.730000,2024-05-22 12:58:11,1169.0,19.0,388.0,49.0,74.0,149.0,480.0,2949.0,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",26.0,29,True,2024-05-22 13:25:36.000,1.1.7,91.0,mljar-supervised,conda-forge/mljar-supervised,,,,114.0,111.0,https://pypi.org/project/mljar-supervised,2024-05-22 12:58:42.000,3.0,3126.0,3543.0,https://anaconda.org/conda-forge/mljar-supervised,2024-05-22 19:47:51.730,14626.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2024-04-10 12:25:23.000000,2021-10-29 06:15:49,2535.0,,424.0,63.0,933.0,325.0,745.0,2899.0,StellarGraph - Machine Learning on Graphs.,37.0,29,False,2021-02-22 06:35:38.731,1.2.1,25.0,stellargraph,,,,['tensorflow'],271.0,260.0,https://pypi.org/project/stellargraph,2021-02-22 06:35:38.731,11.0,8451.0,8451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +349,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2024-05-22 00:57:25.000000,2024-05-22 00:57:22,3538.0,18.0,341.0,153.0,1177.0,32.0,60.0,2694.0,Neural Network Libraries.,76.0,29,True,2023-12-07 00:57:13.000,1.38.0,78.0,nnabla,,,,,44.0,,https://pypi.org/project/nnabla,2023-12-06 09:31:24.000,44.0,3153.0,3164.0,,,,,,,,3.0,918.0,,,,,,,,,,,,,,,,,,, +350,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,,519.0,95.0,1045.0,260.0,297.0,2552.0,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",86.0,29,False,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1559.0,1537.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,78231.0,78231.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2024-03-18 12:42:13.000000,2018-08-19 12:37:47,130.0,,279.0,65.0,60.0,29.0,39.0,2405.0,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,29,False,2018-08-19 12:25:39.290,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],5001.0,4917.0,https://pypi.org/project/scikit-plot,2018-08-19 12:25:39.290,84.0,495733.0,497850.0,https://anaconda.org/conda-forge/scikit-plot,2023-06-16 13:22:21.652,173666.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2024-01-21 16:47:04.000000,2024-01-21 16:46:47,1134.0,,336.0,44.0,57.0,67.0,207.0,2347.0,Graph Neural Networks with Keras and Tensorflow 2.,27.0,29,True,2024-01-21 16:17:36.000,1.3.1,35.0,spektral,,,,['tensorflow'],299.0,292.0,https://pypi.org/project/spektral,2024-01-21 16:17:36.000,7.0,9925.0,9925.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +353,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Intel,2019-02-26 10:10:56.000,2024-05-23 00:34:40.000000,2024-05-21 08:57:13,663.0,11.0,247.0,52.0,652.0,146.0,225.0,2308.0,Algorithms for explaining machine learning models.,22.0,29,False,2024-04-18 15:30:25.000,0.9.6,34.0,alibi,,,,,625.0,600.0,https://pypi.org/project/alibi,2024-04-18 15:29:10.000,25.0,17231.0,17231.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +354,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Intel,2019-10-07 13:29:13.000,2024-05-21 10:49:30.000000,2024-05-21 10:49:30,727.0,11.0,216.0,37.0,537.0,141.0,235.0,2104.0,"Algorithms for outlier, adversarial and drift detection.",23.0,29,False,2024-04-17 16:12:46.000,0.12.0,38.0,alibi-detect,,,,,444.0,437.0,https://pypi.org/project/alibi-detect,2024-04-17 16:12:46.000,7.0,34087.0,34087.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +355,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2024-05-22 08:40:13.000000,2024-05-22 08:40:13,851.0,6.0,392.0,37.0,875.0,170.0,294.0,1821.0,A Python package to assess and improve fairness of machine learning models.,82.0,29,True,2023-12-19 14:14:09.000,0.10.0,20.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],53.0,3.0,https://pypi.org/project/fairlearn,2023-12-19 02:11:12.000,50.0,267092.0,267861.0,https://anaconda.org/conda-forge/fairlearn,2023-12-20 11:56:56.090,32310.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +356,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2024-05-22 21:54:05.000000,2024-05-06 18:14:07,2448.0,1.0,437.0,76.0,1266.0,148.0,682.0,1803.0,Gaussian processes in TensorFlow.,84.0,29,True,2024-02-07 15:19:13.000,2.9.1,49.0,gpflow,conda-forge/gpflow,,,['tensorflow'],695.0,658.0,https://pypi.org/project/gpflow,2024-02-07 15:19:13.000,37.0,58275.0,58647.0,https://anaconda.org/conda-forge/gpflow,2023-06-16 16:08:37.785,26851.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +357,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2024-05-23 07:33:19.000000,2024-05-23 07:33:18,3898.0,55.0,281.0,27.0,575.0,88.0,712.0,1692.0,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,78.0,29,True,2024-02-27 17:02:40.000,0.5.0,8.0,avalanche-lib,,,,,85.0,82.0,https://pypi.org/project/avalanche-lib,2024-02-27 16:52:08.000,3.0,958.0,958.0,,,,,,,,2.0,21.0,,,,,,,,,,,,,,,,,,, +358,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2024-05-19 15:07:34.000000,2024-05-19 14:52:17,713.0,2.0,318.0,43.0,367.0,81.0,215.0,1624.0,Training PyTorch models with differential privacy.,79.0,29,True,2024-02-11 17:28:30.000,1.4.1,21.0,opacus,conda-forge/opacus,,,['pytorch'],823.0,791.0,https://pypi.org/project/opacus,2024-02-11 17:28:30.000,32.0,130909.0,131411.0,https://anaconda.org/conda-forge/opacus,2024-02-11 19:23:25.249,14025.0,,,,,2.0,109.0,,,,,,,,,,,,,,,,,,, +359,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2024-04-25 08:57:36.000000,2024-04-25 00:46:12,1435.0,16.0,271.0,73.0,105.0,33.0,55.0,1242.0,Model analysis tools for TensorFlow.,57.0,29,True,2024-04-25 08:57:36.000,0.46.0,57.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",25.0,2.0,https://pypi.org/project/tensorflow-model-analysis,2024-04-25 08:57:36.000,23.0,78512.0,78512.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +360,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 20:46:53.000,2024-05-21 06:47:52.000000,2024-05-21 06:47:51,1964.0,23.0,322.0,27.0,2270.0,88.0,227.0,1242.0,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,42.0,29,True,2024-05-20 22:12:33.000,0.35.1,56.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",105.0,99.0,https://pypi.org/project/raiwidgets,2024-05-20 22:07:15.000,6.0,6016.0,6016.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +361,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2024-05-03 21:03:08.000000,2024-01-17 21:03:09,532.0,,411.0,51.0,40.0,16.0,139.0,1223.0,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",22.0,29,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,2651.0,2613.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,38.0,332882.0,333756.0,https://anaconda.org/conda-forge/kmodes,2023-06-16 19:18:39.600,42838.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +362,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 22:15:53.000,2024-05-19 11:47:01.000000,2024-05-19 11:47:01,1104.0,42.0,207.0,23.0,139.0,24.0,192.0,1078.0,Survival analysis built on top of scikit-learn.,20.0,29,False,2023-12-30 23:36:40.000,0.22.2,28.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],508.0,481.0,https://pypi.org/project/scikit-survival,2023-12-30 23:36:40.000,27.0,95744.0,98775.0,https://anaconda.org/conda-forge/scikit-survival,2023-12-31 00:55:10.043,90935.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +363,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2024-04-01 17:38:38.000000,2024-03-25 14:43:57,494.0,1.0,120.0,32.0,128.0,27.0,74.0,890.0,Python bindings and utilities for GeoJSON.,56.0,29,True,2023-11-05 21:06:50.000,3.1.0,31.0,geojson,conda-forge/geojson,,,,17896.0,17254.0,https://pypi.org/project/geojson,2023-11-05 21:06:50.000,642.0,1725633.0,1779232.0,https://anaconda.org/conda-forge/geojson,2023-11-06 11:21:40.354,803995.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +364,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2024-05-15 15:22:35.000000,2024-05-15 15:22:35,674.0,8.0,104.0,14.0,97.0,71.0,65.0,846.0,A Python nearest neighbor descent for approximate nearest neighbors.,29.0,29,True,2024-03-29 20:37:40.000,0.5.12,31.0,pynndescent,conda-forge/pynndescent,,,,6600.0,6461.0,https://pypi.org/project/pynndescent,2024-03-29 20:37:40.000,139.0,1395717.0,1435902.0,https://anaconda.org/conda-forge/pynndescent,2024-03-29 21:39:55.734,1848530.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +365,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2024-05-22 06:32:24.000000,2024-05-22 06:30:31,1311.0,9.0,149.0,50.0,57.0,20.0,69.0,832.0,Computer Vision in Python.,35.0,29,True,2024-04-17 11:27:48.000,1.4.15,61.0,mahotas,conda-forge/mahotas,,,,1325.0,1265.0,https://pypi.org/project/mahotas,2024-04-17 11:27:48.000,60.0,16517.0,25264.0,https://anaconda.org/conda-forge/mahotas,2024-05-18 06:10:05.533,411143.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +366,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2024-05-07 15:53:15.000000,2024-05-01 16:34:13,823.0,15.0,75.0,26.0,385.0,109.0,233.0,569.0,"Simple, concise geographical visualization in Python.",32.0,29,True,2024-04-05 15:56:28.000,1.12.0,63.0,geoviews,conda-forge/geoviews,,,,1048.0,992.0,https://pypi.org/project/geoviews,2024-04-05 10:57:38.000,56.0,13228.0,18272.0,https://anaconda.org/conda-forge/geoviews,2024-04-05 16:04:19.139,221944.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +367,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2024-05-18 15:32:00.000000,2024-04-12 14:18:33,232.0,5.0,58.0,13.0,206.0,13.0,187.0,319.0,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",14.0,29,True,2024-04-12 14:20:43.000,3.9.1,72.0,pystan,conda-forge/pystan,,,,9970.0,9813.0,https://pypi.org/project/pystan,2024-04-12 14:20:43.000,157.0,1905613.0,1938493.0,https://anaconda.org/conda-forge/pystan,2023-06-16 13:14:39.735,2827737.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +368,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-11-21 01:05:50.000000,2020-01-31 13:06:18,347.0,,4819.0,651.0,372.0,498.0,436.0,15420.0,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,28,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,567.0,564.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,3.0,885.0,885.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +369,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2024-05-06 20:38:27.000000,2024-05-06 20:36:49,342.0,9.0,1365.0,428.0,50.0,102.0,87.0,10391.0,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2024-05-06 20:38:27.000,4.0.9,47.0,dopamine-rl,,,,['tensorflow'],31.0,21.0,https://pypi.org/project/dopamine-rl,2024-05-06 20:38:27.000,10.0,32056.0,32056.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +370,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2024-04-05 19:03:17.000000,2022-11-08 22:11:16,98.0,,1772.0,205.0,73.0,109.0,36.0,10133.0,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,28,False,2023-05-24 15:11:00.531,2.0.1,9.0,english-words,,,,,15.0,2.0,https://pypi.org/project/english-words,2023-05-24 15:11:00.531,13.0,63389.0,63389.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +371,pysc2,deepmind/pysc2,others,,https://github.com/google-deepmind/pysc2,https://github.com/google-deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2024-05-02 01:34:04.000000,2023-04-19 16:47:52,581.0,,1146.0,350.0,80.0,49.0,231.0,7936.0,StarCraft II Learning Environment.,39.0,28,False,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,773.0,747.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,2687.0,3073.0,,,,,,,,2.0,31335.0,,,google-deepmind/pysc2,,,,,,,,,,,,,,,, +372,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,,909.0,267.0,98.0,82.0,81.0,7331.0,Visualizations for machine learning datasets.,31.0,28,True,2023-05-24 15:58:01.158,1.1.1,9.0,facets-overview,,,,['jupyter'],247.0,239.0,https://pypi.org/project/facets-overview,2023-05-24 15:58:01.158,8.0,277277.0,277277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +373,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2023-10-24 07:07:43.000000,2023-08-16 23:55:56,220.0,,1330.0,175.0,46.0,78.0,238.0,6837.0,2D and 3D Face alignment library build using pytorch.,26.0,28,True,2023-08-17 14:43:11.000,1.4.1,14.0,face-alignment,,,,['pytorch'],30.0,21.0,https://pypi.org/project/face-alignment,2023-08-17 14:43:11.000,9.0,77951.0,77951.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +374,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,,1368.0,204.0,158.0,44.0,227.0,5495.0,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],768.0,762.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,6.0,1585.0,1585.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +375,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2024-03-18 16:23:03.000000,2018-07-25 01:28:08,1796.0,,780.0,273.0,438.0,221.0,329.0,4823.0,"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'],319.0,317.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,2.0,450.0,450.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,, +376,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 20:22:54.000,2024-03-07 14:59:40.000000,2022-08-06 21:47:18,182.0,,435.0,71.0,61.0,101.0,56.0,4537.0,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,28,False,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,1829.0,1822.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,7.0,270527.0,270527.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +377,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2024-03-16 11:54:12.000000,2022-04-01 13:57:36,131.0,,988.0,146.0,31.0,51.0,77.0,4269.0,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,28,False,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,8543.0,8456.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,87.0,209673.0,210041.0,https://anaconda.org/conda-forge/vadersentiment,2023-06-16 19:25:16.902,14019.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +378,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2024-05-10 20:41:29.000000,2024-04-05 14:20:01,251.0,2.0,917.0,52.0,55.0,69.0,106.0,4216.0,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,17.0,28,True,2024-04-29 17:50:14.000,2.6.0,33.0,facenet-pytorch,,,,['pytorch'],1836.0,1806.0,https://pypi.org/project/facenet-pytorch,2024-04-29 17:50:14.000,30.0,66218.0,84463.0,,,,,,,,3.0,985283.0,,,,,,,,,,,,,,,,,,, +379,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2024-04-13 16:57:34.000000,2024-03-19 16:05:30,525.0,2.0,725.0,176.0,82.0,8.0,280.0,4174.0,A python wrapper for Alpha Vantage API for financial data.,43.0,28,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,596.0,563.0,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,33.0,31170.0,31337.0,https://anaconda.org/conda-forge/alpha_vantage,2023-06-16 19:24:19.804,6714.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +380,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2024-03-02 15:10:25.000000,2021-05-10 18:34:53,57.0,,412.0,37.0,56.0,137.0,43.0,3970.0,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'],14234.0,14114.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,120.0,241855.0,241855.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +381,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,,971.0,217.0,408.0,140.0,402.0,3848.0,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,,,,,1057.0,1045.0,https://pypi.org/project/lasagne,2015-08-13 21:10:53.000,12.0,2654.0,2654.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +382,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2024-05-21 06:21:14.000000,2024-03-15 19:57:42,1777.0,36.0,583.0,39.0,831.0,481.0,283.0,3657.0,Time series forecasting with PyTorch.,44.0,28,True,2023-04-10 19:57:38.490,1.0.0,34.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,16.0,,https://pypi.org/project/pytorch-forecasting,2020-07-26 21:35:43.000,16.0,49962.0,51251.0,https://anaconda.org/conda-forge/pytorch-forecasting,2023-06-16 19:21:40.268,56734.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +383,Acme,deepmind/acme,reinforcement-learning,,https://github.com/google-deepmind/acme,https://github.com/google-deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2024-05-20 11:58:19.000000,2024-05-20 11:57:13,1201.0,6.0,413.0,82.0,54.0,61.0,202.0,3399.0,A library of reinforcement learning components and agents.,85.0,28,True,2022-02-10 06:52:27.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],202.0,199.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,3.0,1540.0,1743.0,https://anaconda.org/conda-forge/dm-acme,2023-06-16 19:23:44.096,8556.0,,,,,1.0,,,,google-deepmind/acme,,,,,,,,,,,,,,,, +384,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2024-01-06 17:57:28.000000,2024-01-06 17:57:28,619.0,,330.0,46.0,120.0,66.0,136.0,2854.0,A python library for decision tree visualization and model interpretation.,26.0,28,True,2023-07-13 17:23:01.507,2.2.2,41.0,dtreeviz,conda-forge/dtreeviz,,,,1187.0,1163.0,https://pypi.org/project/dtreeviz,2022-07-07 17:18:00.886,24.0,129343.0,131008.0,https://anaconda.org/conda-forge/dtreeviz,2023-07-13 20:18:43.899,69959.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +385,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2024-03-20 16:55:01.000000,2024-03-20 16:53:52,2297.0,1.0,722.0,79.0,205.0,191.0,466.0,2742.0,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",151.0,28,True,2023-12-14 04:07:38.000,0.19.0,51.0,tf-agents,,,,['tensorflow'],12.0,,https://pypi.org/project/tf-agents,2023-12-14 04:07:38.000,12.0,43976.0,43976.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +386,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2024-03-18 21:00:38.000000,2024-03-18 20:31:55,556.0,8.0,473.0,96.0,43.0,89.0,240.0,2717.0,Learning to Rank in TensorFlow.,34.0,28,True,2024-03-18 21:00:38.000,0.5.5,23.0,tensorflow_ranking,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow_ranking,2024-03-18 21:00:38.000,15.0,134120.0,134120.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +387,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2024-05-22 12:04:04.000000,2024-05-13 15:04:22,3519.0,14.0,522.0,108.0,351.0,388.0,685.0,2710.0,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",81.0,28,False,2015-03-31 16:33:30.000,2.0,21.0,essentia,,,,,674.0,654.0,https://pypi.org/project/essentia,2024-04-29 15:12:27.000,20.0,19253.0,19253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +388,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 02:26:03.000,2024-05-17 16:33:06.000000,2023-12-03 09:09:14,2415.0,,256.0,27.0,1132.0,77.0,224.0,2590.0,Database system for AI-powered apps.,73.0,28,True,2023-11-19 16:35:30.000,0.3.9,45.0,evadb,,,,['pytorch'],143.0,143.0,https://pypi.org/project/evadb,2023-11-19 16:35:24.000,,3179.0,21922.0,,,,,,,,3.0,412353.0,,,georgia-tech-db/evadb,,,,,,,,,,,,,,,, +389,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapters,https://github.com/adapter-hub/adapters,Apache-2.0,2020-04-21 16:21:43.000,2024-05-23 09:22:00.000000,2024-05-21 19:11:35,111.0,22.0,321.0,28.0,304.0,40.0,332.0,2423.0,A Unified Library for Parameter-Efficient and Modular Transfer Learning.,8.0,28,True,2024-05-21 19:16:35.000,0.2.1,19.0,adapter-transformers,,,,['huggingface'],63.0,56.0,https://pypi.org/project/adapter-transformers,2023-12-16 14:14:02.000,7.0,107599.0,107599.0,,,,,,,,2.0,,,,adapter-hub/adapters,,,,,,,,,,,,,,,, +390,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2024-05-20 14:20:45.000000,2024-04-08 19:42:17,436.0,5.0,809.0,90.0,285.0,188.0,102.0,2334.0,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",73.0,28,True,2024-04-08 20:03:12.000,0.6.1,12.0,aif360,conda-forge/aif360,,,,437.0,411.0,https://pypi.org/project/aif360,2024-04-08 20:03:12.000,26.0,48844.0,49078.0,https://anaconda.org/conda-forge/aif360,2024-04-09 06:44:48.814,10330.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +391,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,,313.0,64.0,14.0,29.0,47.0,2250.0,Stand-alone language identification system.,9.0,28,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,11307.0,11163.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,144.0,405358.0,405358.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +392,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2024-05-20 17:35:37.000000,2024-05-19 09:52:31,2062.0,236.0,126.0,28.0,200.0,16.0,22.0,1881.0,Monitor deep learning model training and hardware usage from your mobile phone.,9.0,28,True,2024-03-21 07:36:40.000,0.5.1,145.0,labml,,,,,155.0,149.0,https://pypi.org/project/labml,2024-03-21 07:36:40.000,6.0,3751.0,3751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +393,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2024-02-13 19:24:57.000000,2024-02-01 18:50:30,675.0,,400.0,41.0,62.0,19.0,270.0,1878.0,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",32.0,28,True,2023-04-07 06:00:55.135,1.3.6,19.0,ogb,conda-forge/ogb,,,,1655.0,1633.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,22.0,36428.0,37151.0,https://anaconda.org/conda-forge/ogb,2023-06-16 19:21:31.692,31824.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +394,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2024-02-13 11:22:02.000000,2024-02-13 11:18:32,1805.0,,377.0,50.0,125.0,41.0,422.0,1676.0,Reinforcement Learning environments based on the 1993 game Doom.,54.0,28,True,2023-12-16 01:55:15.000,1.2.3,29.0,vizdoom,,,,,248.0,235.0,https://pypi.org/project/vizdoom,2023-12-16 01:55:15.000,13.0,2334.0,2454.0,,,,,,,,1.0,11855.0,,,Farama-Foundation/ViZDoom,,,,,,,,,,,,,,,, +395,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2024-04-29 18:33:44.000000,2024-04-29 18:20:59,222.0,29.0,197.0,32.0,20.0,1.0,90.0,1643.0,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",17.0,28,True,2024-04-29 18:33:44.000,0.1.904,89.0,autoviz,conda-forge/autoviz,,,,689.0,682.0,https://pypi.org/project/autoviz,2024-04-29 18:33:44.000,7.0,37355.0,38893.0,https://anaconda.org/conda-forge/autoviz,2024-04-26 17:50:17.078,50775.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +396,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,,184.0,34.0,72.0,22.0,52.0,1492.0,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,8.0,28,True,2023-09-26 22:07:23.000,0.2.6,5.0,torchsde,conda-forge/torchsde,,,['pytorch'],3070.0,3040.0,https://pypi.org/project/torchsde,2023-09-26 21:52:19.000,30.0,1375175.0,1375704.0,https://anaconda.org/conda-forge/torchsde,2023-06-16 19:24:16.458,21188.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +397,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2024-05-13 09:59:37.000000,2024-05-13 09:59:37,589.0,20.0,415.0,30.0,50.0,14.0,125.0,1394.0,MiniSom is a minimalistic implementation of the Self Organizing Maps.,29.0,28,False,2024-02-16 09:48:48.000,2.3.2,25.0,minisom,,,,,616.0,592.0,https://pypi.org/project/minisom,2024-02-16 09:47:58.000,24.0,23123.0,23123.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +398,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2024-05-22 12:17:19.000000,2024-05-22 12:17:17,677.0,10.0,167.0,48.0,162.0,19.0,382.0,1334.0,moDel Agnostic Language for Exploration and eXplanation.,25.0,28,False,2024-02-28 20:54:37.000,1.7.0,27.0,dalex,conda-forge/dalex,,,,172.0,165.0,https://pypi.org/project/dalex,2024-02-28 20:54:37.000,7.0,18881.0,19203.0,https://anaconda.org/conda-forge/dalex,2024-02-29 10:49:59.696,12894.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +399,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2024-05-23 09:55:57.000000,2024-05-22 20:16:54,1045.0,30.0,115.0,23.0,116.0,32.0,53.0,1307.0,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",23.0,28,True,2024-05-22 20:17:23.000,1.4.4,47.0,imodels,,,,,81.0,72.0,https://pypi.org/project/imodels,2024-05-22 20:17:23.000,9.0,71701.0,71701.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +400,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2024-03-02 16:58:45.000000,2023-06-06 09:46:40,415.0,,327.0,39.0,301.0,27.0,200.0,1235.0,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,,,,,405.0,383.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,22.0,21802.0,21802.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +401,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2024-05-23 14:57:31.000000,2024-05-21 11:24:48,516.0,27.0,113.0,23.0,366.0,34.0,273.0,1161.0,Extra blocks for scikit-learn pipelines.,67.0,28,True,2024-04-16 14:59:21.000,0.8.2,50.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],152.0,144.0,https://pypi.org/project/scikit-lego,2024-04-16 12:18:11.000,8.0,21890.0,22897.0,https://anaconda.org/conda-forge/scikit-lego,2024-04-17 13:14:18.003,48340.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +402,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2024-05-23 11:42:03.000000,2024-05-23 11:19:26,1826.0,288.0,79.0,10.0,559.0,49.0,643.0,1131.0,An open-source container orchestration engine for running AI workloads in any cloud or data center...,25.0,28,True,2024-05-23 11:42:03.000,0.18.2,204.0,dstack,,,,,14.0,14.0,https://pypi.org/project/dstack,2024-05-23 11:42:03.000,,2331.0,2331.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +403,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,,445.0,42.0,176.0,93.0,102.0,1025.0,"Utilities for working with image data, text data, and sequence data.",52.0,28,False,2020-05-14 03:55:22.223,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],304.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:55:22.223,304.0,5208247.0,5239559.0,https://anaconda.org/conda-forge/keras-preprocessing,2023-06-16 16:10:42.597,2223170.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +404,skforecast,JoaquinAmatRodrigo/skforecast,time-series-data,,https://github.com/JoaquinAmatRodrigo/skforecast,https://github.com/JoaquinAmatRodrigo/skforecast,BSD-3-Clause,2021-02-10 11:40:34.000,2024-05-20 17:06:17.000000,2024-05-20 13:49:09,3166.0,288.0,108.0,11.0,551.0,23.0,108.0,961.0,Time series forecasting with scikit-learn models.,13.0,28,True,2024-05-20 17:06:17.000,0.12.1,27.0,skforecast,,,,['sklearn'],274.0,262.0,https://pypi.org/project/skforecast,2024-05-20 17:02:30.000,12.0,47969.0,47969.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +405,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2024-05-23 08:33:53.000000,2024-05-23 08:33:53,1355.0,23.0,131.0,25.0,474.0,14.0,134.0,824.0,A Comparative Framework for Multimodal Recommender Systems.,21.0,28,True,2024-05-06 22:24:15.000,2.2.0,57.0,cornac,conda-forge/cornac,,,,229.0,211.0,https://pypi.org/project/cornac,2024-05-06 22:50:06.000,18.0,34410.0,42571.0,https://anaconda.org/conda-forge/cornac,2024-05-22 19:13:36.782,383587.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +406,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2024-05-12 23:17:26.000000,2024-05-12 22:59:32,3715.0,8.0,324.0,65.0,687.0,37.0,531.0,821.0,The Classical Language Toolkit.,121.0,28,True,2024-05-13 16:48:36.000,1.2.6,217.0,cltk,,,,,276.0,261.0,https://pypi.org/project/cltk,2024-05-12 23:09:13.000,15.0,1611.0,1611.0,,,,,,,,2.0,64.0,,,,,,,,,,,,,,,,,,, +407,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2023-11-03 15:14:22.000000,2023-11-03 14:46:16,569.0,,36.0,11.0,69.0,7.0,26.0,209.0,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,28,False,2023-09-22 06:31:01.000,0.7.11,46.0,blis,conda-forge/cython-blis,,,,43470.0,43376.0,https://pypi.org/project/blis,2023-09-22 06:27:17.000,94.0,9226546.0,9274458.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2108158.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +408,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2024-03-26 06:01:50.000000,2023-10-12 07:20:40,1894.0,,1071.0,236.0,455.0,67.0,265.0,17232.0,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",48.0,27,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,,44662.0,45074.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-10-14 18:53:31.974373,17.0,23927.0,3.0,,,,,,,,,,,,,,,,,,,, +409,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2024-05-23 13:04:23.000000,2024-05-22 05:05:34,2225.0,1.0,2813.0,197.0,3661.0,1200.0,4134.0,12188.0,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",159.0,27,True,2023-10-19 03:47:18.000,2.7.0,9.0,paddledet,,,,['paddle'],2.0,,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,2.0,716.0,716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +410,pandas-ai,gventuri/pandas-ai,others,,https://github.com/Sinaptik-AI/pandas-ai,https://github.com/Sinaptik-AI/pandas-ai,,2023-04-22 12:58:01.000,2024-05-23 12:43:02.000000,2024-05-23 12:29:27,950.0,176.0,1003.0,97.0,441.0,241.0,337.0,11244.0,"Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational..",80.0,27,False,2024-05-19 00:58:57.000,2.0.43,100.0,pandas-ai,,,,,3037.0,3037.0,https://pypi.org/project/pandas-ai,,,,,,,,,,,,3.0,,,,Sinaptik-AI/pandas-ai,,,,,,,,,,,,,,,, +411,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,,1500.0,130.0,51.0,155.0,141.0,7775.0,A PyTorch implementation of EfficientNet.,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 15:17:23.000,43.0,137585.0,215694.0,,,,,,,,2.0,3905466.0,,,,,,,,,,,,,,,,,,, +412,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-12-02 01:27:38.759000,2023-02-18 07:58:21,3353.0,,1639.0,459.0,698.0,33.0,441.0,7300.0,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,134.0,27,False,2022-02-15 02:05:47.000,2.2.5,84.0,tensorlayer,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,11.0,2281.0,2304.0,,,,,,,,2.0,2191.0,,,,,,,,,,,,,,,,,,, +413,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,,1352.0,348.0,14.0,42.0,66.0,6347.0,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1337.0,1330.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,7.0,35295.0,35295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +414,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,,1586.0,624.0,2111.0,453.0,1338.0,6334.0,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,27,False,2018-06-01 15:39:25.550,1.0.5,53.0,nupic,,,,,21.0,21.0,https://pypi.org/project/nupic,2016-09-01 21:30:21.000,,1556.0,1556.0,,,,,,,,3.0,8.0,,,numenta/nupic-legacy,,,,,,,,,,,,,,,, +415,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2024-04-29 08:04:00.000000,2024-03-08 08:24:03,13775.0,66.0,1536.0,140.0,3584.0,856.0,1103.0,5539.0,An Industrial Grade Federated Learning Framework.,100.0,27,True,2024-03-08 08:32:35.000,2.1.0,49.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +416,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2024-03-21 14:27:34.000000,2023-03-29 07:02:37,553.0,,867.0,125.0,64.0,136.0,74.0,5031.0,Image augmentation library in Python for machine learning.,23.0,27,False,2023-03-29 07:06:01.465,0.2.12,24.0,Augmentor,,,,,766.0,754.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,12.0,10004.0,10004.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +417,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2024-04-04 13:02:44.000000,2024-04-04 13:02:44,6153.0,1.0,527.0,150.0,1906.0,338.0,1331.0,4430.0,ArrayFire: a general purpose GPU library.,88.0,27,True,2023-08-29 19:49:26.000,3.9.0,34.0,arrayfire,,,,,10.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,10.0,1463.0,1520.0,,,,,,,,2.0,6108.0,,,,,,,,,,,,,,,,,,, +418,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,,553.0,104.0,617.0,95.0,606.0,4210.0,Visual analysis and diagnostic tools to facilitate machine learning model selection.,113.0,27,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],93.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,93.0,549900.0,551640.0,https://anaconda.org/conda-forge/yellowbrick,2023-06-16 19:21:13.554,78340.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +419,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,,964.0,283.0,226.0,12.0,356.0,3870.0,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,False,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 20:05:56.000,5.0,687079.0,687490.0,https://anaconda.org/conda-forge/tensorflowonspark,2023-06-16 16:19:28.736,21794.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +420,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2024-05-22 20:37:14.000000,2024-04-17 02:40:53,1439.0,35.0,343.0,69.0,1334.0,96.0,83.0,3409.0,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,36.0,27,True,2024-04-09 23:12:45.000,1.1.1,16.0,lit-nlp,conda-forge/lit-nlp,,,,35.0,32.0,https://pypi.org/project/lit-nlp,2024-04-09 23:12:45.000,3.0,4171.0,5809.0,https://anaconda.org/conda-forge/lit-nlp,2023-06-16 19:21:41.530,72077.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +421,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2024-04-09 15:08:12.000000,2024-04-09 15:08:11,2114.0,6.0,538.0,144.0,239.0,39.0,634.0,3284.0,Tensorforce: a TensorFlow library for applied reinforcement learning.,85.0,27,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],450.0,446.0,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,4.0,866.0,866.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +422,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2024-05-20 17:20:08.000000,2023-09-10 15:15:16,1059.0,,238.0,62.0,114.0,9.0,274.0,3230.0,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,14.0,27,True,2023-09-10 19:39:46.000,0.3.2,22.0,vidgear,,,,,556.0,543.0,https://pypi.org/project/vidgear,2023-09-10 19:39:46.000,13.0,17235.0,17256.0,,,,,,,,3.0,1325.0,,,,,,,,,,,,,,,,,,, +423,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2024-01-05 06:03:44.000000,2024-01-02 20:16:48,4161.0,,364.0,81.0,63.0,154.0,189.0,3200.0,a library for audio and music analysis.,25.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,476.0,460.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,16.0,4502.0,12104.0,https://anaconda.org/conda-forge/aubio,2023-06-16 13:24:40.255,653772.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +424,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,,455.0,82.0,245.0,61.0,155.0,3035.0,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,61.0,27,False,2022-10-31 14:47:34.183,1.0.1,24.0,fastnlp,,,,,186.0,184.0,https://pypi.org/project/fastnlp,2022-10-31 14:47:34.183,2.0,58984.0,58985.0,,,,,,,,3.0,77.0,,,,,,,,,,,,,,,,,,, +425,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2024-05-18 05:22:53.000000,2024-05-18 05:22:47,1636.0,123.0,630.0,44.0,28.0,4.0,476.0,3029.0,[EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and Construction.,31.0,27,True,2023-09-21 04:12:03.000,2.2.7,111.0,deepke,,,,['pytorch'],21.0,21.0,https://pypi.org/project/deepke,2023-09-21 04:12:03.000,,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +426,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2024-04-27 07:02:54.000000,2022-09-28 17:12:28,249.0,,312.0,29.0,321.0,77.0,38.0,2731.0,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,17.0,27,False,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],945.0,944.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,19399.0,19489.0,https://anaconda.org/conda-forge/lazypredict,2023-06-16 19:27:14.287,2975.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +427,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-11-10 03:06:08.000000,2020-09-22 22:35:28,271.0,,331.0,77.0,55.0,161.0,68.0,2270.0,Multilingual text (NLP) processing toolkit.,26.0,27,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1307.0,1258.0,https://pypi.org/project/polyglot,2021-12-15 16:11:38.716,49.0,62464.0,62464.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +428,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,,255.0,89.0,124.0,33.0,230.0,2179.0,"NLP, before and after spaCy.",35.0,27,False,2023-04-02 23:06:15.139,0.13.0,32.0,textacy,conda-forge/textacy,,,,1845.0,1779.0,https://pypi.org/project/textacy,2023-04-02 23:06:15.139,66.0,47769.0,49475.0,https://anaconda.org/conda-forge/textacy,2023-06-16 13:22:44.862,143315.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +429,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,,317.0,64.0,38.0,97.0,160.0,2170.0,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,False,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],359.0,353.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,6.0,11126.0,11126.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +430,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2024-04-08 21:03:52.579000,2021-07-16 09:03:20,66.0,,463.0,38.0,43.0,64.0,58.0,2063.0,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,27,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],2121.0,2107.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,105074.0,109375.0,https://anaconda.org/anaconda/efficientnet,2024-04-08 21:03:52.579,494.0,,,,,3.0,257448.0,,,,,,,,,,,,,,,,,,, +431,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2024-05-03 16:38:58.000000,2024-04-04 12:44:05,521.0,2.0,401.0,85.0,104.0,79.0,259.0,2046.0,bt - flexible backtesting for Python.,32.0,27,True,2023-11-20 03:03:12.000,1.0.0,26.0,bt,conda-forge/bt,,,,1614.0,1604.0,https://pypi.org/project/bt,2023-11-20 03:03:12.000,10.0,7318.0,7968.0,https://anaconda.org/conda-forge/bt,2023-11-20 16:37:06.276,24052.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +432,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2024-03-19 21:59:57.000000,2024-03-19 21:59:57,1652.0,16.0,160.0,61.0,68.0,65.0,130.0,1805.0,A Python toolbox for gaining geometric insights into high-dimensional data.,22.0,27,True,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,415.0,413.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,2.0,851.0,851.0,,,,,,,,3.0,34.0,,,,,,,,,,,,,,,,,,, +433,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,,213.0,36.0,1081.0,25.0,496.0,1729.0,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,87.0,27,True,2023-06-30 13:37:19.283,0.8.2,40.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],285.0,280.0,https://pypi.org/project/lightning-flash,2022-05-11 18:17:54.000,5.0,2377.0,2936.0,https://anaconda.org/conda-forge/lightning-flash,2023-07-04 02:12:18.993,18455.0,,,,,2.0,,,,Lightning-Universe/lightning-flash,,,,,,,,,,,,,,,, +434,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2024-04-22 10:30:49.000000,2024-04-22 10:30:48,671.0,33.0,269.0,27.0,187.0,10.0,390.0,1617.0,Hyperparameter Experiments with TensorFlow and Keras.,23.0,27,True,2024-04-21 09:02:06.000,1.4,18.0,talos,,,,['tensorflow'],182.0,174.0,https://pypi.org/project/talos,2024-04-21 09:02:29.000,8.0,1326.0,1326.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +435,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2024-05-22 22:01:16.000000,2024-05-22 01:24:18,6428.0,126.0,289.0,46.0,2728.0,311.0,1439.0,1590.0,cuGraph - RAPIDS Graph Analytics Library.,114.0,27,True,2024-04-10 21:01:45.000,24.04.00,35.0,cugraph,conda-forge/libcugraph,,,,6.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,4.0,211.0,728.0,https://anaconda.org/conda-forge/libcugraph,2023-06-16 19:25:39.870,19146.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +436,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2024-01-05 03:23:07.000000,2022-08-31 01:52:51,509.0,,308.0,103.0,49.0,8.0,151.0,1572.0,Distributed Deep learning with Keras & Spark.,27.0,27,False,2024-01-05 03:23:07.000,5.2.1,42.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",75.0,75.0,https://pypi.org/project/elephas,2024-01-05 03:23:07.000,,41928.0,42171.0,https://anaconda.org/conda-forge/elephas,2023-06-16 16:16:35.554,13880.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +437,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,,312.0,73.0,742.0,58.0,168.0,1478.0,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,,,,,399.0,397.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,2.0,2156.0,2156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +438,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2024-01-31 21:10:59.000000,2020-10-14 13:22:39,167.0,,347.0,71.0,87.0,27.0,26.0,1229.0,Common financial risk and performance metrics. Used by zipline and pyfolio.,23.0,27,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1430.0,1378.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,52.0,27796.0,28153.0,https://anaconda.org/conda-forge/empyrical,2023-06-16 16:07:55.979,26834.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +439,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/google-deepmind/rlax,https://github.com/google-deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2024-05-17 10:42:26.000000,2023-11-24 11:08:47,208.0,,83.0,34.0,110.0,7.0,18.0,1193.0,A library of reinforcement learning building blocks in JAX.,21.0,27,True,2023-06-29 15:05:00.621,0.1.6,10.0,rlax,,,,['jax'],240.0,229.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,11.0,2643804.0,2643804.0,,,,,,,,2.0,,,,google-deepmind/rlax,,,,,,,,,,,,,,,, +440,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2024-02-25 11:40:08.000000,2024-02-08 16:58:25,2080.0,,249.0,41.0,39.0,68.0,591.0,1146.0,"pyclustering is a Python, C++ data mining library.",26.0,27,True,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,700.0,671.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,29.0,44877.0,46302.0,https://anaconda.org/conda-forge/pyclustering,2023-11-16 19:00:50.847,65331.0,,,,,3.0,512.0,,,,,,,,,,,,,,,,,,, +441,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,,185.0,40.0,173.0,65.0,174.0,927.0,A Jupyter - Three.js bridge.,30.0,27,False,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],125.0,30.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,81.0,77467.0,85909.0,https://anaconda.org/conda-forge/pythreejs,2023-06-16 13:16:30.947,539758.0,,,,,3.0,,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,14.0,2820.0,,,,,,,,,,, +442,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 13:05:44.000,2024-02-01 04:40:03.000000,2023-04-19 21:43:19,547.0,,174.0,33.0,86.0,88.0,122.0,907.0,A scikit-learn based module for multi-label et. al. classification.,28.0,27,False,2018-12-10 16:24:47.000,0.2.0,7.0,scikit-multilearn,,,,['sklearn'],1615.0,1593.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,22.0,82479.0,82479.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +443,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2024-05-09 07:59:27.000000,2024-05-01 00:09:23,16580.0,11.0,367.0,44.0,1620.0,309.0,2961.0,864.0,An open-source application for biological image analysis.,143.0,27,True,2023-08-14 19:59:48.000,4.2.6,48.0,cellprofiler,,,,,22.0,20.0,https://pypi.org/project/cellprofiler,2023-08-14 19:14:28.000,2.0,510.0,565.0,,,,,,,,3.0,6893.0,,,,,,,,,,,,,,,,,,, +444,pyRiemann,pyRiemann/pyRiemann,ml-frameworks,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2024-05-17 13:18:43.000000,2024-05-17 13:18:43,604.0,33.0,162.0,32.0,195.0,4.0,100.0,595.0,Machine learning for multivariate data through the Riemannian geometry of positive definite matrices in Python.,32.0,27,True,2024-04-10 11:45:27.000,0.6,12.0,pyriemann,conda-forge/pyriemann,,https://pyriemann.readthedocs.io/en/latest/,['sklearn'],367.0,341.0,https://pypi.org/project/pyriemann,2024-04-10 11:46:01.000,26.0,40303.0,40554.0,https://anaconda.org/conda-forge/pyriemann,2024-04-10 14:21:44.720,5793.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +445,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2024-05-17 21:25:45.000000,2024-05-07 09:33:03,327.0,17.0,91.0,19.0,118.0,36.0,80.0,583.0,pyspark methods to enhance developer productivity.,28.0,27,True,2024-02-13 12:31:37.000,0.10.3,16.0,quinn,,,,['spark'],84.0,77.0,https://pypi.org/project/quinn,2024-02-13 12:31:37.000,7.0,766057.0,766057.0,,,,,,,,3.0,23.0,,,,,,,,,,,,,,,,,,, +446,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2024-04-24 18:16:33.000000,2023-08-23 17:20:54,1241.0,,154.0,19.0,717.0,26.0,208.0,479.0,A package built to support working with spatial data using open source python.,44.0,27,True,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,340.0,323.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,17.0,7679.0,8923.0,https://anaconda.org/conda-forge/earthpy,2023-06-16 16:14:50.280,75937.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +447,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-11-09 15:37:59.000000,2021-02-12 10:36:31,2184.0,,1203.0,184.0,213.0,25.0,534.0,8893.0,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,26,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,21.0,21.0,,,,,257.0,,,,,,,,3.0,10287.0,,,,,,,,,,,,,,,,,,, +448,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2023-10-23 02:26:28.000000,2020-05-03 07:13:22,108.0,,595.0,140.0,31.0,70.0,55.0,5550.0,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1695.0,1642.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,53.0,1662956.0,1663363.0,https://anaconda.org/conda-forge/flashtext,2023-06-16 19:20:49.106,18747.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +449,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2024-03-22 00:24:33.000000,2024-03-22 00:17:00,218.0,3.0,295.0,71.0,179.0,24.0,54.0,4908.0,"A data augmentations library for audio, image, text, and video.",34.0,26,True,2023-12-05 20:52:12.000,1.0.1,18.0,augly,,,,,121.0,117.0,https://pypi.org/project/augly,2023-12-05 20:52:12.000,4.0,2610.0,2610.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +450,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2024-04-23 02:12:59.000000,2024-04-23 02:12:59,1138.0,1.0,720.0,60.0,1013.0,167.0,740.0,4118.0,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",90.0,26,True,2023-07-04 07:12:41.567,1.0.1,20.0,mmocr,,,,['pytorch'],128.0,125.0,https://pypi.org/project/mmocr,2022-05-05 14:21:18.000,3.0,5652.0,5652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +451,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2024-03-20 17:23:36.000000,2023-10-12 08:57:51,209.0,,309.0,85.0,95.0,48.0,32.0,3490.0,Python library that makes it easy for data scientists to create charts.,25.0,26,True,2023-10-12 09:02:25.000,4.0.5,25.0,chartify,conda-forge/chartify,,,,85.0,76.0,https://pypi.org/project/chartify,2023-10-12 09:02:25.000,9.0,15609.0,16069.0,https://anaconda.org/conda-forge/chartify,2023-06-16 16:11:58.064,30364.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +452,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2024-03-03 01:58:14.000000,2024-03-03 01:31:19,180.0,1.0,392.0,161.0,84.0,102.0,101.0,3199.0,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'],23.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,23.0,94048.0,94048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +453,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2024-02-12 06:44:22.000000,2020-04-27 18:40:41,522.0,,1022.0,167.0,215.0,43.0,146.0,3117.0,Performance analysis of predictive (alpha) stock factors.,26.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,694.0,689.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,5.0,1449.0,1726.0,https://anaconda.org/conda-forge/alphalens,2023-06-16 16:09:06.563,20816.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +454,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2024-03-19 19:20:10.000000,2024-03-18 19:51:35,2374.0,14.0,687.0,159.0,61.0,7.0,756.0,3097.0,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,30.0,26,True,2024-03-19 19:20:10.000,1.6.1,21.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,913.0,https://anaconda.org/bioconda/deepvariant,2023-06-16 16:08:50.013,64776.0,,,,,3.0,4714.0,,,,,,,,,,,,,,,,,,, +455,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2023-12-19 18:37:18.000000,2023-12-19 18:37:18,17589.0,,1050.0,217.0,3649.0,429.0,1111.0,3009.0,Unified and efficient Machine Learning.,248.0,26,True,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1626.0,https://anaconda.org/conda-forge/shogun,2023-06-16 13:22:38.816,132637.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1511.0,3.0,,,,,,,,,,shogun,,,,,,,,,, +456,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-12-04 12:10:57.449000,2023-11-29 13:26:08,135.0,,264.0,53.0,19.0,36.0,97.0,2843.0,"Visualize and compare datasets, target values and associations, with one line of code.",11.0,26,True,2023-11-29 13:30:45.000,2.3.1,35.0,sweetviz,conda-forge/sweetviz,,,,2254.0,2225.0,https://pypi.org/project/sweetviz,2023-11-29 13:27:52.000,29.0,71348.0,72099.0,https://anaconda.org/conda-forge/sweetviz,2023-12-04 12:10:57.449,29320.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +457,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,,329.0,67.0,167.0,164.0,113.0,2731.0,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,,,,57.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,57.0,372594.0,374402.0,https://anaconda.org/conda-forge/eli5,2023-06-16 13:18:29.838,151924.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +458,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 12:09:24.000,2024-03-14 19:50:06.000000,2024-03-14 19:50:06,769.0,1.0,696.0,180.0,75.0,21.0,565.0,2702.0,Python sync/async framework for Interactive Brokers API.,36.0,26,True,2023-07-02 12:44:10.283,0.9.86,111.0,ib_insync,conda-forge/ib-insync,,,,40.0,,https://pypi.org/project/ib_insync,2022-11-21 09:32:01.715,40.0,31332.0,32033.0,https://anaconda.org/conda-forge/ib-insync,2023-06-16 16:16:07.159,40694.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +459,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,,217.0,66.0,42.0,16.0,24.0,2685.0,Knock Knock: Get notified when your training ends with only two additional lines of code.,20.0,26,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,984.0,979.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,5.0,66172.0,66440.0,https://anaconda.org/conda-forge/knockknock,2023-06-16 16:18:44.705,14763.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +460,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2024-02-01 01:44:20.000000,2023-12-11 13:43:52,1053.0,,443.0,126.0,143.0,192.0,247.0,2609.0,PYthon svg GrAph plotting Library.,77.0,26,False,2023-11-21 15:34:11.000,3.0.4,80.0,pygal,conda-forge/pygal,,,,96.0,,https://pypi.org/project/pygal,2023-11-21 15:34:11.000,96.0,311446.0,314020.0,https://anaconda.org/conda-forge/pygal,2023-11-21 17:04:08.093,41193.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +461,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2024-04-10 16:58:39.000000,2024-01-30 18:07:43,695.0,,232.0,35.0,147.0,17.0,144.0,2313.0,Lightweight Python library for adding real-time multi-object tracking to any detector.,31.0,26,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,185.0,181.0,https://pypi.org/project/norfair,2022-05-30 21:14:58.000,4.0,17741.0,17747.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,, +462,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2024-03-06 06:56:13.000000,2024-03-06 06:55:14,388.0,1.0,285.0,56.0,14.0,22.0,79.0,2210.0,Beautiful visualizations of how language differs among document types.,14.0,26,True,2024-03-06 06:56:13.000,0.2.1,150.0,scattertext,conda-forge/scattertext,,,,558.0,553.0,https://pypi.org/project/scattertext,2024-03-06 06:56:13.000,5.0,13029.0,14126.0,https://anaconda.org/conda-forge/scattertext,2023-06-16 13:23:09.869,88920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2024-05-21 21:29:02.000000,2023-06-01 12:18:23,739.0,,315.0,42.0,44.0,99.0,56.0,2151.0,A modular active learning framework for Python.,20.0,26,True,2024-05-21 21:29:02.000,0.62.180,963.0,modAL,,,,['sklearn'],27.0,,https://pypi.org/project/modAL,2024-05-21 21:29:02.000,27.0,292952.0,292952.0,,,,,,,,3.0,35.0,,,,,,,,,,,,,,,,,,, +464,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2024-05-21 23:50:54.000000,2024-05-21 15:42:46,481.0,2.0,335.0,63.0,155.0,8.0,92.0,2107.0,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,19.0,26,True,2024-02-21 23:17:37.000,3.3.0,22.0,pytextrank,,,,,666.0,649.0,https://pypi.org/project/pytextrank,2024-02-21 23:17:37.000,17.0,41837.0,41837.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +465,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2024-05-13 22:13:39.000000,2024-05-13 22:13:34,870.0,8.0,446.0,59.0,333.0,113.0,92.0,1879.0,Library for training machine learning models with privacy for training data.,59.0,26,True,2024-02-14 19:18:00.000,0.9.0,31.0,tensorflow-privacy,,,,['tensorflow'],15.0,,https://pypi.org/project/tensorflow-privacy,2024-02-14 19:08:50.000,15.0,21172.0,21174.0,,,,,,,,3.0,155.0,,,,,,,,,,,,,,,,,,, +466,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-05-06 20:43:34.000000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,441.0,50.0,353.0,1811.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,,,,,57.0,56.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,19753.0,19753.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +467,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2024-05-06 20:43:34.000000,2024-03-31 23:27:50,918.0,26.0,135.0,33.0,441.0,50.0,353.0,1811.0,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,20.0,26,True,2024-04-01 00:44:51.000,1.1.4.9,36.0,orbit-ml,conda-forge/orbit-ml,,,,57.0,56.0,https://pypi.org/project/orbit-ml,2024-04-01 00:45:19.000,1.0,19753.0,20009.0,https://anaconda.org/conda-forge/orbit-ml,2024-04-01 02:54:47.033,7175.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +468,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-12-02 05:11:31.000000,2023-12-02 05:11:31,691.0,,276.0,40.0,495.0,172.0,151.0,1756.0,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,50.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,175.0,167.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,8.0,35677.0,35683.0,,,,,,,,3.0,457.0,,,,,,,,,,,,,,,,,,, +469,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,,160.0,25.0,81.0,43.0,35.0,1714.0,A Python package for time series classification.,14.0,26,True,2023-06-18 12:36:11.801,0.13.0,19.0,pyts,conda-forge/pyts,,,,623.0,604.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,138119.0,138883.0,https://anaconda.org/conda-forge/pyts,2023-06-18 16:28:23.633,23690.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +470,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2024-05-21 17:39:54.000000,2024-05-21 17:32:58,936.0,116.0,262.0,46.0,772.0,76.0,65.0,1631.0,A lightweight library for PyTorch training tools and utilities.,128.0,26,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],24.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,24.0,7195.0,7195.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +471,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2024-05-17 08:23:44.000000,2024-05-17 08:23:43,2830.0,9.0,175.0,26.0,669.0,118.0,446.0,1544.0,A Python library for learning and evaluating knowledge graph embeddings.,38.0,26,True,2024-02-19 21:29:27.000,1.10.2,47.0,pykeen,,,,,6.0,,https://pypi.org/project/pykeen,2024-02-19 21:25:43.000,6.0,5308.0,5311.0,,,,,,,,2.0,180.0,,,,,,,,,,,,,,,,,,, +472,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2024-05-19 03:08:50.610000,2024-05-10 13:50:09,1034.0,3.0,177.0,17.0,71.0,30.0,342.0,1483.0,PyTorch Extension Library of Optimized Scatter Operations.,30.0,26,True,2023-10-06 08:49:07.000,2.1.2,32.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],128.0,,https://pypi.org/project/torch-scatter,2023-10-06 08:49:07.000,128.0,36946.0,43086.0,https://anaconda.org/conda-forge/pytorch_scatter,2024-05-19 03:08:50.610,288582.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +473,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2024-04-30 13:26:27.000000,2023-06-07 07:35:59,3033.0,,120.0,36.0,337.0,11.0,187.0,1432.0,Multi-class confusion matrix library in Python.,17.0,26,True,2023-06-07 14:06:28.000,4.0,44.0,pycm,,,,,321.0,299.0,https://pypi.org/project/pycm,2023-06-07 14:08:01.991,22.0,43716.0,43716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +474,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,,231.0,46.0,184.0,53.0,120.0,1380.0,Metric learning algorithms in Python.,22.0,26,True,2023-10-09 04:53:59.000,0.7.0,11.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],383.0,376.0,https://pypi.org/project/metric-learn,2023-10-09 04:53:59.000,7.0,16079.0,16331.0,https://anaconda.org/conda-forge/metric-learn,2023-10-09 05:53:11.819,11625.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +475,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2024-05-23 06:44:53.000000,2024-05-23 06:44:52,691.0,7.0,155.0,22.0,126.0,4.0,128.0,1379.0,"Extensible, parallel implementations of t-SNE.",12.0,26,True,2023-11-29 14:50:50.000,1.0.1,27.0,opentsne,conda-forge/opentsne,,,,842.0,799.0,https://pypi.org/project/opentsne,2023-11-29 14:45:37.000,43.0,30825.0,36423.0,https://anaconda.org/conda-forge/opentsne,2024-05-19 08:28:58.978,251916.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,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,,270.0,76.0,481.0,49.0,198.0,1328.0,Underthesea - Vietnamese NLP Toolkit.,18.0,26,False,2023-09-22 23:57:31.000,6.8.0,125.0,underthesea,,,,,1045.0,1034.0,https://pypi.org/project/underthesea,2023-09-22 23:50:49.000,11.0,15150.0,15225.0,,,,,,,,3.0,6378.0,,,,,,,,,,,,,,,,,,, +477,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2023-11-28 23:16:10.000000,2023-09-10 06:51:22,1752.0,,197.0,43.0,257.0,66.0,212.0,1250.0,Python audio and music signal processing library.,20.0,26,True,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,448.0,421.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,1740.0,1740.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +478,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2023-10-25 17:26:07.000000,2021-10-21 17:45:17,202.0,,174.0,26.0,36.0,1.0,116.0,1238.0,Multivariate imputation and matrix completion algorithms implemented in Python.,12.0,26,False,2021-10-21 17:50:40.000,0.7.0,29.0,fancyimpute,,,,['sklearn'],1612.0,1591.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,21.0,57979.0,57979.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +479,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,,144.0,35.0,214.0,117.0,152.0,1222.0,Real-time stream processing for python.,48.0,26,False,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,518.0,463.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,55.0,25599.0,36355.0,https://anaconda.org/conda-forge/streamz,2023-06-16 13:22:22.238,860495.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +480,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2024-04-16 18:02:40.000000,2024-04-16 18:02:40,396.0,2.0,177.0,26.0,32.0,4.0,129.0,1202.0,"Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA, FAMD, GPA.",16.0,26,True,2023-10-11 22:35:06.000,0.13.0,59.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],547.0,533.0,https://pypi.org/project/prince,2023-10-11 22:35:06.000,14.0,108969.0,109310.0,https://anaconda.org/conda-forge/prince-factor-analysis,2023-06-16 16:19:02.748,18444.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +481,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-11-24 07:58:55.401000,2023-11-09 17:20:43,139.0,,112.0,21.0,103.0,43.0,74.0,1134.0,Python 3.8+ toolbox for submitting jobs to Slurm.,23.0,26,True,2023-11-09 17:23:02.000,1.5.1,23.0,submitit,conda-forge/submitit,,,,2676.0,2637.0,https://pypi.org/project/submitit,2023-11-09 17:23:02.000,39.0,281153.0,281958.0,https://anaconda.org/conda-forge/submitit,2023-11-24 07:58:55.401,36260.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +482,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2024-05-20 12:37:40.000000,2024-05-03 23:42:39,1985.0,54.0,364.0,55.0,513.0,156.0,253.0,1129.0,Machine learning on FPGAs using HLS.,60.0,26,True,2023-12-19 21:00:58.000,0.8.1,16.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2023-12-19 21:00:58.000,,874.0,1046.0,https://anaconda.org/conda-forge/hls4ml,2023-06-16 19:22:51.232,7606.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +483,metricflow,transform-data/metricflow,others,,https://github.com/dbt-labs/metricflow,https://github.com/dbt-labs/metricflow,,2022-04-04 18:33:06.000,2024-05-22 20:03:34.000000,2024-05-21 21:43:45,2369.0,262.0,88.0,19.0,917.0,86.0,214.0,1086.0,"MetricFlow allows you to define, build, and maintain metrics in code.",44.0,26,False,2024-03-02 00:18:17.000,0.205.0,84.0,metricflow,,,,,26.0,23.0,https://pypi.org/project/metricflow,2024-04-04 05:32:07.000,3.0,20672.0,20672.0,,,,,,,,3.0,,,,dbt-labs/metricflow,,,,,,,,,,,,,,,, +484,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 10:51:56.000,2024-03-29 13:25:52.761000,2024-03-27 08:01:51,780.0,3.0,63.0,13.0,127.0,46.0,115.0,962.0,Visualize large time series data with plotly.py.,12.0,26,True,2024-03-27 07:58:10.000,0.10.0,62.0,plotly-resampler,conda-forge/plotly-resampler,,,,1126.0,1104.0,https://pypi.org/project/plotly-resampler,2024-03-27 07:54:02.000,22.0,432281.0,433758.0,https://anaconda.org/conda-forge/plotly-resampler,2024-03-29 13:25:52.761,41378.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +485,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2024-05-21 01:36:11.000000,2024-05-21 01:35:55,553.0,93.0,101.0,24.0,98.0,15.0,106.0,668.0,"Python library for reading audio file metadata, duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave, AIFF and a few..",26.0,26,True,2023-10-26 19:30:36.000,1.10.1,41.0,tinytag,,,,,103.0,,https://pypi.org/project/tinytag,2023-10-26 19:30:36.000,103.0,29706.0,29706.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +486,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2024-05-15 16:08:44.000000,2024-05-13 16:47:27,911.0,12.0,107.0,43.0,113.0,56.0,46.0,638.0,Bias Auditing & Fair ML Toolkit.,21.0,26,True,2024-01-30 12:03:19.000,1.0.0,18.0,aequitas,,,,,163.0,156.0,https://pypi.org/project/aequitas,2024-01-30 12:03:19.000,7.0,36850.0,36850.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,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 21:02:09.000,2024-04-26 20:02:09.000000,2024-04-26 20:02:08,844.0,7.0,133.0,29.0,89.0,40.0,75.0,601.0,For recording and retrieving metadata associated with ML developer and data scientist workflows.,19.0,26,True,2024-04-23 05:17:11.000,1.15.0,43.0,ml-metadata,,,,,485.0,454.0,https://pypi.org/project/ml-metadata,2024-04-23 05:17:11.000,31.0,84514.0,84549.0,,,,,,,,3.0,2209.0,,,,,,,,,,,,,,,,,,, +488,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2023-09-25 19:44:09.000000,2019-12-05 08:17:22,46.0,,214.0,22.0,17.0,46.0,23.0,425.0,scikit-learn inspired API for CRFsuite.,6.0,26,False,2017-06-22 18:49:27.000,0.3.6,9.0,sklearn-crfsuite,conda-forge/sklearn-crfsuite,,,['sklearn'],7716.0,7586.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,130.0,223618.0,224437.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2023-06-16 19:18:37.991,40172.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +489,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2024-05-22 08:39:18.000000,2024-05-15 16:50:06,2745.0,206.0,59.0,8.0,258.0,40.0,90.0,257.0,Python recommendation toolkit.,14.0,26,False,2024-02-16 21:04:30.000,0.14.4,25.0,lenskit,conda-forge/lenskit,,,,108.0,102.0,https://pypi.org/project/lenskit,2024-02-16 21:03:49.000,6.0,1760.0,2406.0,https://anaconda.org/conda-forge/lenskit,2024-04-18 13:51:51.378,27150.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +490,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2024-05-16 01:29:54.000000,2024-05-16 01:29:48,1619.0,1.0,808.0,146.0,1564.0,114.0,125.0,7966.0,Trax Deep Learning with Clear Code and Speed.,79.0,25,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,156.0,155.0,https://pypi.org/project/trax,2021-10-26 20:29:00.538,1.0,3820.0,3820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,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,,968.0,182.0,327.0,338.0,292.0,5783.0,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,False,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,126.0,126.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,,393.0,441.0,,,,,,,,2.0,3745.0,,,,,,,,,,,,,,,,,,, +492,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2024-04-26 02:38:27.000000,2023-11-19 13:26:15,334.0,,955.0,45.0,34.0,65.0,112.0,4997.0,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",20.0,25,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],206.0,197.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,9.0,3494.0,3494.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +493,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2024-04-27 19:15:19.000000,2023-04-28 16:55:30,521.0,,444.0,62.0,93.0,36.0,88.0,4979.0,Finding duplicate images made easy!.,15.0,25,False,2023-04-28 17:29:01.612,0.3.2,12.0,imagededup,,,,['tensorflow'],121.0,116.0,https://pypi.org/project/imagededup,2023-04-28 17:29:01.612,5.0,18946.0,18946.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +494,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2024-05-23 10:22:01.000000,2024-05-23 10:22:01,3563.0,108.0,604.0,93.0,3918.0,213.0,1377.0,4935.0,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,91.0,25,True,2024-05-07 16:55:22.000,1.37.1,78.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +495,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2024-01-16 11:28:25.000000,2022-08-23 22:54:23,1046.0,,982.0,240.0,215.0,51.0,200.0,4397.0,"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,,,,57.0,56.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,801.0,894.0,https://anaconda.org/conda-forge/tensortrade,2023-06-16 19:25:40.006,3460.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2024-01-16 13:26:41.000000,2023-05-06 14:09:10,264.0,,430.0,42.0,52.0,88.0,174.0,4189.0,An Open-Source Framework for Prompt-Learning.,22.0,25,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,126.0,123.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,3.0,1134.0,1134.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +497,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,,513.0,135.0,649.0,65.0,198.0,3869.0,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 10:13:17.000,13.0,2787.0,2787.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +498,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2024-05-23 08:03:04.000000,2024-05-23 08:03:04,2779.0,70.0,1207.0,135.0,1073.0,52.0,75.0,3314.0,a distributed deep learning platform.,91.0,25,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,3.0,3.0,,,,,68.0,https://anaconda.org/nusdbsystem/singa,2023-06-16 13:23:56.805,745.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,6558.0,3.0,,,,,,,,,,,,,,,,,,,, +499,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2024-05-20 22:24:28.000000,2024-05-20 22:24:17,466.0,3.0,271.0,50.0,459.0,59.0,256.0,3306.0,Hummingbird compiles trained ML models into tensor computation for faster inference.,40.0,25,True,2024-03-08 20:24:53.000,0.4.11,24.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,4.0,,https://pypi.org/project/hummingbird-ml,2024-03-08 20:21:40.000,4.0,5318.0,6380.0,https://anaconda.org/conda-forge/hummingbird-ml,2024-03-08 22:15:29.532,40000.0,,,,,2.0,502.0,,,,,,,,,,,,,,,,,,, +500,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2024-04-22 17:11:22.000000,2024-03-30 09:25:51,4343.0,16.0,582.0,40.0,1002.0,251.0,692.0,3204.0,"A unified, comprehensive and efficient recommendation library.",71.0,25,True,2023-11-04 11:23:19.000,1.2.0,10.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2023-10-31 12:52:34.000,2.0,3798.0,3912.0,https://anaconda.org/aibox/recbole,2023-11-01 15:53:42.380,4817.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2024-05-23 12:40:02.000000,2024-05-23 12:40:02,514.0,6.0,811.0,62.0,640.0,133.0,399.0,3201.0,A high-performance distributed training framework for Reinforcement Learning.,45.0,25,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],126.0,125.0,https://pypi.org/project/parl,2022-05-13 04:46:41.000,1.0,824.0,824.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +502,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2024-01-20 00:01:11.000000,2024-01-20 00:01:11,1576.0,,246.0,29.0,2015.0,3.0,652.0,3020.0,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,35.0,25,True,2023-12-05 02:33:36.000,1.1.3,26.0,towhee,,,,,,,https://pypi.org/project/towhee,2023-12-04 07:25:10.000,,13676.0,13767.0,,,,,,,,3.0,2645.0,,,,,,,,,,,,,,,,,,, +503,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,,663.0,73.0,25.0,117.0,101.0,2977.0,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 05:11:22.255,0.4.1,11.0,keras-vis,,,,['tensorflow'],2922.0,2921.0,https://pypi.org/project/keras-vis,2017-07-06 05:11:22.255,1.0,1710.0,1710.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +504,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,,471.0,97.0,49.0,59.0,253.0,2820.0,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,,,,722.0,701.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,21.0,3525.0,3846.0,https://anaconda.org/conda-forge/neuralcoref,2023-06-16 19:17:56.088,15800.0,,,,,3.0,993.0,,,,,,,,,,,,,,,,,,, +505,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2024-04-22 23:07:16.000000,2023-06-30 21:16:10,470.0,,322.0,64.0,317.0,47.0,124.0,2794.0,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'],55.0,54.0,https://pypi.org/project/ddsp,2022-05-25 17:42:19.000,1.0,1698.0,2025.0,https://anaconda.org/conda-forge/ddsp,2023-06-16 19:19:34.916,15381.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +506,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2024-05-21 12:48:00.000000,2024-05-06 14:20:38,944.0,6.0,173.0,20.0,78.0,95.0,174.0,2760.0,FFCV: Fast Forward Computer Vision (and other ML workloads!).,31.0,25,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,46.0,45.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,1.0,1645.0,1645.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-11-01 10:12:46.000000,2022-10-05 16:26:03,376.0,,229.0,50.0,481.0,45.0,70.0,2725.0,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,False,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,228.0,225.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,25669.0,25670.0,,,,,,,,2.0,68.0,,,,,,,,,,,,,,,,,,, +508,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 01:11:33.000,2024-04-15 21:12:13.000000,2023-07-01 21:40:58,1936.0,,350.0,40.0,89.0,28.0,158.0,2511.0,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'],3.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,3.0,1842.0,1842.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +509,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2024-02-10 12:55:47.000000,2023-07-23 14:42:27,191.0,,468.0,38.0,239.0,52.0,282.0,2499.0,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,21.0,25,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 13:26:57.000,11.0,36096.0,36325.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-12-20 04:10:30.919,6658.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +510,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,,719.0,167.0,94.0,136.0,358.0,2456.0,An Algorithmic Trading Library for Crypto-Assets in Python.,152.0,25,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 16:46:28.000,2.0,145.0,145.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +511,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 16:48:48.000,2024-03-01 17:17:03.000000,2024-03-01 17:16:56,650.0,1.0,236.0,64.0,31.0,60.0,95.0,2235.0,Fast and Easy Infinite Neural Networks in Python.,29.0,25,True,2023-12-11 14:10:12.000,0.6.5,31.0,neural-tangents,,,,,102.0,101.0,https://pypi.org/project/neural-tangents,2023-12-11 14:00:20.000,1.0,2864.0,2872.0,,,,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,, +512,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2024-05-22 17:55:04.000000,2024-05-22 17:55:04,542.0,10.0,211.0,42.0,129.0,61.0,127.0,2194.0,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,28.0,25,True,2023-12-27 00:46:01.000,2023.12.27,773.0,kubric-nightly,,,,,3.0,3.0,https://pypi.org/project/kubric-nightly,2023-12-27 00:46:01.000,,3275.0,3275.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +513,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/mckinsey/causalnex,https://github.com/mckinsey/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2024-05-21 22:55:07.000000,2024-02-10 10:17:50,226.0,,252.0,48.0,95.0,20.0,115.0,2162.0,A Python library that helps data scientists to infer causation rather than observing correlation.,40.0,25,True,2023-06-22 13:11:59.629,0.12.1,20.0,causalnex,,,,"['pytorch', 'sklearn']",116.0,112.0,https://pypi.org/project/causalnex,2023-06-22 13:11:59.629,4.0,2423.0,2423.0,,,,,,,,3.0,,,,mckinsey/causalnex,,,,,,,,,,,,,,,, +514,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2024-04-26 00:01:37.000000,2021-07-09 11:06:18,56.0,,496.0,42.0,25.0,66.0,38.0,2133.0,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,25,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],51.0,,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,51.0,80714.0,80946.0,https://anaconda.org/conda-forge/mtcnn,2023-06-16 19:18:00.316,11870.0,,,,,3.0,,-3.0,,,,,,,,,,,,,,,,,, +515,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,,85.0,41.0,47.0,14.0,75.0,2098.0,The friendly PIL fork.,385.0,25,False,,,47.0,pillow-simd,,,,,62.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,62.0,44161.0,44161.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +516,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2023-10-24 16:13:23.000000,2018-12-16 15:30:13,118.0,,239.0,71.0,21.0,93.0,66.0,2092.0,Open source time series library for Python.,6.0,25,False,2017-11-21 16:27:06.000,0.4.16,36.0,pyflux,,,,,271.0,267.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,4.0,94725.0,94725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +517,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,,303.0,57.0,1313.0,233.0,810.0,1821.0,A toolkit for reproducible reinforcement learning research.,79.0,25,False,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],106.0,102.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,4.0,744.0,744.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +518,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2024-03-24 14:27:59.853000,2022-12-07 10:32:49,237.0,,293.0,1.0,1.0,1.0,,1703.0,Feature engineering package with sklearn like functionality.,38.0,25,False,2024-03-24 13:29:41.000,1.7.0,39.0,feature_engine,conda-forge/feature_engine,,,,147.0,,https://pypi.org/project/feature_engine,2024-03-24 13:29:41.000,147.0,131133.0,132200.0,https://anaconda.org/conda-forge/feature_engine,2024-03-24 14:27:59.853,48016.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +519,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2024-03-17 06:23:46.000000,2023-04-20 14:53:46,460.0,,238.0,49.0,49.0,23.0,91.0,1603.0,Contextually-keyed word vectors.,19.0,25,False,2023-04-17 14:14:02.218,2.0.2,24.0,sense2vec,conda-forge/sense2vec,,,,387.0,374.0,https://pypi.org/project/sense2vec,2021-04-19 07:05:28.000,13.0,2311.0,4329.0,https://anaconda.org/conda-forge/sense2vec,2023-09-22 07:25:32.800,38170.0,,,,,3.0,65473.0,,,,,,,,,,,,,,,,,,, +520,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,,205.0,44.0,12.0,4.0,51.0,1564.0,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,25,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],234.0,232.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,2.0,192763.0,192763.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +521,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-12-11 05:15:14.000000,2023-09-26 07:34:28,1378.0,,309.0,27.0,379.0,56.0,155.0,1559.0,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,31.0,25,True,2023-09-26 07:49:38.000,2.2.6,21.0,pgl,,,,['paddle'],57.0,56.0,https://pypi.org/project/pgl,2023-09-26 07:49:38.000,1.0,686.0,686.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +522,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2023-11-29 15:04:03.000000,2023-08-12 06:34:27,161.0,,267.0,50.0,87.0,22.0,191.0,1546.0,"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'],585.0,568.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,17.0,6411.0,6557.0,https://anaconda.org/conda-forge/gplearn,2023-06-16 19:20:25.471,6895.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +523,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2024-01-04 20:19:39.000000,2024-01-04 20:19:39,950.0,,579.0,108.0,283.0,19.0,300.0,1513.0,Execute Python code on the fly and display results in Tableau visualizations:.,50.0,25,True,2023-06-28 20:49:21.000,2.9.0,31.0,tabpy,anaconda/tabpy-client,,,,162.0,160.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,7793.0,7845.0,https://anaconda.org/anaconda/tabpy-client,2023-06-16 13:20:17.078,4490.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +524,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-11-06 16:35:44.000000,2023-11-06 15:20:05,206.0,,330.0,51.0,43.0,96.0,,1342.0,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,18.0,25,True,2023-11-06 16:35:44.000,0.9.3,33.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],481.0,473.0,https://pypi.org/project/keras-ocr,2023-11-06 16:35:44.000,8.0,46919.0,75093.0,https://anaconda.org/anaconda/keras-ocr,2023-06-16 19:23:39.693,314.0,,,,,3.0,1239357.0,,,,,,,,,,,,,,,,,,, +525,livelossplot,stared/livelossplot,ml-experiments,,https://github.com/stared/livelossplot,https://github.com/stared/livelossplot,MIT,2018-03-10 17:51:43.000,2022-07-15 12:45:07.000000,2022-04-04 16:13:36,330.0,,142.0,28.0,63.0,7.0,70.0,1293.0,"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'],1471.0,1458.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,13.0,13550.0,13550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +526,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2024-01-05 18:00:58.000000,2024-01-05 18:00:58,67.0,,296.0,55.0,63.0,16.0,109.0,1244.0,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,10.0,25,True,2023-07-30 07:07:37.000,0.6.2,24.0,stockstats,,,,,1059.0,1048.0,https://pypi.org/project/stockstats,2023-07-30 07:07:37.000,11.0,10952.0,10952.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2024-05-13 13:12:24.000000,2024-05-02 01:45:39,808.0,9.0,116.0,31.0,412.0,71.0,325.0,1022.0,BAyesian Model-Building Interface (Bambi) in Python.,37.0,25,True,2023-10-25 02:06:14.000,0.13.0,28.0,bambi,conda-forge/bambi,,,,132.0,122.0,https://pypi.org/project/bambi,2023-10-25 02:06:14.000,10.0,23094.0,23851.0,https://anaconda.org/conda-forge/bambi,2023-10-27 17:16:55.433,31058.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +528,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2024-05-16 20:20:11.437000,2024-05-16 13:11:43,2072.0,1.0,215.0,41.0,593.0,85.0,433.0,1018.0,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,41.0,25,False,2024-05-16 14:21:22.000,2.1.0,48.0,smac,conda-forge/smac,,,,33.0,,https://pypi.org/project/smac,2024-05-16 14:21:22.000,33.0,47180.0,47702.0,https://anaconda.org/conda-forge/smac,2024-05-16 20:20:11.437,19855.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +529,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,,191.0,48.0,61.0,1.0,68.0,976.0,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'],451.0,448.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,17140.0,17140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +530,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2024-02-29 13:41:12.000000,2024-02-29 13:41:11,1144.0,2.0,236.0,61.0,246.0,22.0,367.0,960.0,Search and download Copernicus Sentinel satellite images.,44.0,25,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,587.0,556.0,https://pypi.org/project/sentinelsat,2017-03-06 02:33:09.000,31.0,20849.0,21537.0,https://anaconda.org/conda-forge/sentinelsat,2023-06-16 19:22:55.678,29517.0,,,,,3.0,269.0,,,,,,,,,,,,,,,,,,, +531,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,,256.0,43.0,72.0,103.0,188.0,917.0,Gaussian Process Optimization using GPy.,50.0,25,False,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,547.0,510.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,37.0,5742.0,5742.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +532,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,,76.0,13.0,48.0,22.0,53.0,736.0,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,,,,2078.0,2049.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,29.0,581801.0,581980.0,https://anaconda.org/conda-forge/pysbd,2023-06-16 19:27:37.870,5558.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +533,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2024-01-05 08:05:26.000000,2024-01-05 08:05:26,564.0,,103.0,15.0,193.0,117.0,136.0,668.0,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",33.0,25,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,617.0,,https://pypi.org/project/soundfile,2023-02-15 15:39:00.786,617.0,3222146.0,3222296.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,3.0,18547.0,,,,,,,,,,,,,,,,,,, +534,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2024-04-28 16:46:16.622000,2024-04-28 11:15:50,477.0,5.0,50.0,8.0,59.0,173.0,238.0,596.0,python binding for libvips using cffi.,16.0,25,True,2024-04-28 11:19:58.000,2.2.3,26.0,pyvips,conda-forge/pyvips,,,,791.0,718.0,https://pypi.org/project/pyvips,2024-04-28 11:19:58.000,73.0,44068.0,46024.0,https://anaconda.org/conda-forge/pyvips,2024-04-28 16:46:16.622,84126.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +535,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2024-04-10 07:37:43.190000,2022-01-15 18:08:37,1718.0,,67.0,15.0,13.0,35.0,7.0,538.0,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,,,,225.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,225.0,486897.0,493916.0,https://anaconda.org/conda-forge/whoosh,2024-04-10 07:37:43.190,252702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +536,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2024-05-21 08:01:17.000000,2024-05-15 12:32:23,5658.0,65.0,92.0,15.0,757.0,16.0,438.0,428.0,Lightwood is Legos for Machine Learning.,46.0,25,False,2024-05-15 13:29:47.000,24.5.2.0,204.0,lightwood,,,,['pytorch'],62.0,60.0,https://pypi.org/project/lightwood,2024-05-15 13:37:20.000,2.0,7240.0,7240.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +537,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2024-05-07 21:17:52.000000,2024-02-11 00:53:13,766.0,,85.0,13.0,31.0,7.0,49.0,369.0,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,18.0,25,True,2024-02-11 00:59:05.000,3.1.0,58.0,pymap3d,conda-forge/pymap3d,,,,445.0,402.0,https://pypi.org/project/pymap3d,2024-02-11 00:59:05.000,43.0,134348.0,135965.0,https://anaconda.org/conda-forge/pymap3d,2024-02-11 07:50:28.337,71151.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +538,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2024-05-21 10:43:30.000000,2024-05-21 10:37:24,549.0,21.0,56.0,40.0,300.0,20.0,60.0,300.0,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",41.0,25,True,2024-05-21 10:43:30.000,1.4.0,78.0,gokart,,,,,85.0,77.0,https://pypi.org/project/gokart,2024-05-21 10:43:30.000,8.0,2852.0,2852.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,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,,800.0,168.0,1588.0,145.0,74.0,6348.0,A natural language modeling framework based on PyTorch.,234.0,24,False,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],21.0,21.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,,105.0,110.0,,,,,,,,3.0,358.0,,,,,,,,,,,,,,,,,,, +540,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,,749.0,136.0,43.0,141.0,98.0,4945.0,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'],1129.0,1113.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,16.0,676.0,688.0,,,,,,,,3.0,910.0,,,,,,,,,,,,,,,,,,, +541,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2024-01-13 08:14:49.000000,2022-07-29 10:37:24,205.0,,1006.0,92.0,63.0,255.0,269.0,4626.0,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,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 11:36:02.000,28.0,25880.0,25880.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,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 13:41:13.000,2024-03-12 11:21:52.000000,2021-06-02 09:45:13,150.0,,742.0,101.0,35.0,107.0,113.0,4522.0,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,24,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],129.0,124.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,5264.0,5267.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,1.0,235.0,3.0,,,,,,,,,,,,,,,,,,,, +543,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,,724.0,62.0,247.0,129.0,824.0,4057.0,"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,,,,,36.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:38:10.521,36.0,5776.0,5776.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +544,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,,917.0,177.0,385.0,33.0,430.0,3818.0,"Facilitating the design, comparison and sharing of deep text matching models.",36.0,24,False,2019-10-24 13:09:11.000,2.2.0,5.0,matchzoo,,,,['tensorflow'],16.0,16.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +545,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2024-03-03 01:42:05.000000,2024-03-03 01:31:19,175.0,1.0,443.0,89.0,78.0,67.0,137.0,3354.0,Generate embeddings from large-scale graph-structured data.,32.0,24,True,2019-10-14 16:45:11.000,1.0.0,4.0,torchbiggraph,,,,['pytorch'],2.0,,https://pypi.org/project/torchbiggraph,2019-10-14 16:44:41.000,2.0,600647.0,600649.0,,,,,,,,2.0,181.0,,,,,,,,,,,,,,,,,,, +546,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,,528.0,110.0,73.0,193.0,117.0,3078.0,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,24,False,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,142.0,130.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,834.0,895.0,,,,,,,,3.0,4584.0,,,,,,,,,,,,,,,,,,, +547,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2024-03-13 21:11:32.000000,2024-03-13 21:09:44,767.0,1.0,362.0,91.0,548.0,144.0,92.0,2741.0,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,24,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],11.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,11.0,42653.0,42653.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +548,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2024-01-10 07:43:27.000000,2023-07-19 07:40:10,212.0,,137.0,28.0,200.0,20.0,73.0,2704.0,HiPlot makes understanding high dimensional data easy.,9.0,24,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,434.0,408.0,https://pypi.org/project/hiplot,2022-07-05 08:51:12.000,26.0,20018.0,23645.0,https://anaconda.org/conda-forge/hiplot,2023-06-16 19:18:10.488,184994.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +549,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2024-01-02 10:00:14.000000,2023-11-02 03:13:52,1297.0,,318.0,92.0,2157.0,206.0,982.0,2678.0,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",53.0,24,True,2023-02-03 19:04:11.785,0.8.1,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2022-06-12 11:43:21.000,1.0,16862.0,16862.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +550,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-10-23 17:59:41.000000,2023-10-23 17:59:40,755.0,,336.0,31.0,695.0,43.0,151.0,2531.0,"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,,,,,98.0,94.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,4.0,750.0,750.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +551,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,,645.0,89.0,29.0,25.0,52.0,2336.0,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,24,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,652.0,600.0,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,52.0,35446.0,35446.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,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,,253.0,56.0,56.0,19.0,50.0,2203.0,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'],700.0,681.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,19.0,6707.0,6707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2024-03-05 11:46:16.000000,2024-03-05 11:46:12,2314.0,7.0,236.0,38.0,38.0,13.0,114.0,2092.0,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,20.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,240.0,234.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,6.0,4146.0,4651.0,https://anaconda.org/conda-forge/karateclub,2023-06-16 19:21:04.092,23265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +554,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,,669.0,82.0,48.0,24.0,64.0,2057.0,Common financial technical indicators implemented in Pandas.,28.0,24,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,518.0,506.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,12.0,8457.0,8457.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2024-01-09 01:46:07.000000,2023-09-26 17:27:56,255.0,,203.0,29.0,65.0,11.0,83.0,1986.0,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,15.0,24,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],350.0,342.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,8.0,1297.0,1475.0,https://anaconda.org/conda-forge/checklist,2023-06-16 19:24:18.549,7133.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +556,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 13:50:19.000,2024-05-13 12:34:46.000000,2023-12-04 14:09:45,571.0,,134.0,57.0,452.0,68.0,102.0,1847.0,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,29.0,24,True,2023-08-31 20:07:52.000,1.1.10,27.0,hivemind,,,,,112.0,102.0,https://pypi.org/project/hivemind,2023-08-31 20:07:10.000,10.0,3977.0,3977.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +557,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,,121.0,28.0,31.0,63.0,50.0,1575.0,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,24,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],455.0,448.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,7.0,129622.0,129622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +558,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2024-05-16 21:03:19.000000,2024-05-16 20:58:06,353.0,9.0,269.0,42.0,254.0,77.0,195.0,1468.0,A framework for Privacy Preserving Machine Learning.,35.0,24,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],37.0,36.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,1.0,315.0,315.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +559,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-12-20 21:48:32.000000,2023-10-12 14:56:47,1107.0,,235.0,35.0,68.0,57.0,206.0,1229.0,A toolbox to iNNvestigate neural networks predictions!.,20.0,24,True,2023-10-12 14:58:48.000,2.1.2,8.0,innvestigate,,,,['tensorflow'],128.0,126.0,https://pypi.org/project/innvestigate,2023-10-12 14:55:59.000,2.0,865.0,869.0,,,,,,,,3.0,101.0,,,,,,,,,,,,,,,,,,, +560,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,,205.0,54.0,460.0,143.0,293.0,1193.0,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,24,False,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],75.0,66.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,546.0,546.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2024-05-05 07:26:14.000000,2024-05-05 07:26:07,87.0,9.0,227.0,20.0,20.0,5.0,87.0,1183.0,Implementation of the node2vec algorithm.,15.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,644.0,617.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,27.0,28268.0,28659.0,https://anaconda.org/conda-forge/node2vec,2023-06-16 16:13:35.056,28175.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +562,ChainerRL,chainer/chainerrl,reinforcement-learning,,https://github.com/chainer/chainerrl,https://github.com/chainer/chainerrl,MIT,2017-01-30 04:58:15.000,2021-08-10 18:25:48.000000,2021-04-17 06:02:30,3471.0,,223.0,72.0,415.0,75.0,147.0,1155.0,ChainerRL is a deep reinforcement learning library built on top of Chainer.,28.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,172.0,167.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,5.0,718.0,718.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2024-04-13 14:07:28.000000,2019-08-16 09:00:15,140.0,,114.0,12.0,23.0,18.0,15.0,1084.0,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,24,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,5684.0,5275.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,409.0,416838.0,416838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +564,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,,174.0,48.0,112.0,53.0,170.0,972.0,Python interface to GPU-powered libraries.,44.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,319.0,296.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,23.0,986.0,986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +565,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2024-05-19 05:55:47.946000,2024-04-29 15:05:22,732.0,3.0,145.0,16.0,105.0,31.0,240.0,962.0,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,45.0,24,True,2023-10-06 08:51:55.000,0.6.18,31.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],103.0,,https://pypi.org/project/torch-sparse,2023-10-06 08:51:55.000,103.0,25108.0,31241.0,https://anaconda.org/conda-forge/pytorch_sparse,2024-05-19 05:55:47.946,288271.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +566,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2024-04-10 17:11:06.000000,2023-03-06 07:52:05,311.0,,110.0,26.0,36.0,34.0,69.0,878.0,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,24,False,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],625.0,613.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,12.0,24025.0,24025.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +567,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2024-05-21 08:03:11.000000,2024-05-14 09:36:49,344.0,15.0,134.0,19.0,82.0,3.0,66.0,867.0,An intuitive library to extract features from time series.,20.0,24,True,2024-03-27 17:12:39.000,0.1.7,11.0,tsfel,,,,,129.0,126.0,https://pypi.org/project/tsfel,2024-03-27 16:06:38.000,3.0,21994.0,21994.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +568,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2024-05-16 09:24:43.000000,2024-05-16 09:24:42,249.0,4.0,109.0,15.0,44.0,35.0,27.0,857.0,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,12.0,24,True,2024-02-01 14:51:21.000,0.5.2,13.0,detoxify,,,,,612.0,597.0,https://pypi.org/project/detoxify,2024-02-01 14:51:21.000,15.0,30510.0,42084.0,,,,,,,,3.0,486144.0,,,,,,,,,,,,,,,,,,, +569,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,,158.0,34.0,25.0,34.0,236.0,739.0,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,False,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,176.0,172.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,4.0,5331.0,5331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +570,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2024-03-07 03:49:45.000000,2024-03-07 03:49:45,400.0,2.0,155.0,17.0,72.0,35.0,108.0,703.0,Ternary plotting library for python with matplotlib.,27.0,24,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,199.0,169.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,30.0,37203.0,38041.0,https://anaconda.org/conda-forge/python-ternary,2023-06-16 13:17:10.682,81349.0,,,,,3.0,25.0,,,,,,,,,,,,,,,,,,, +571,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,,136.0,132.0,91.0,42.0,67.0,653.0,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,22.0,24,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],204.0,194.0,https://pypi.org/project/mapboxgl,2019-06-02 16:02:54.380,10.0,14874.0,14874.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2024-05-17 14:30:32.000000,2024-05-17 14:29:47,873.0,17.0,84.0,10.0,736.0,92.0,439.0,611.0,Automated modeling and machine learning framework FEDOT.,33.0,24,True,2024-05-03 16:06:47.000,0.7.3.2,22.0,fedot,,,,,51.0,46.0,https://pypi.org/project/fedot,2024-05-03 15:56:33.000,5.0,1202.0,1202.0,,,,,,,,3.0,,,,aimclub/FEDOT,,,,,,,,,,,,,,,, +573,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2024-03-09 00:32:37.185000,2024-03-08 20:01:01,3751.0,7.0,69.0,47.0,355.0,21.0,395.0,552.0,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,37.0,24,False,2024-03-08 20:13:23.000,5.0.1,71.0,skll,conda-forge/skll,,,['sklearn'],43.0,41.0,https://pypi.org/project/skll,2024-03-08 20:01:40.000,2.0,443.0,914.0,https://anaconda.org/conda-forge/skll,2024-03-09 00:32:37.185,14140.0,,,,,3.0,13.0,,,,,,,,,,,,,,,,,,, +574,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2024-04-09 13:42:05.705000,2024-04-03 15:41:01,407.0,9.0,134.0,20.0,46.0,3.0,84.0,548.0,Medical image processing in Python.,20.0,24,False,2024-04-03 15:53:56.000,0.5.1,9.0,MedPy,conda-forge/medpy,,,,1969.0,1921.0,https://pypi.org/project/MedPy,2024-04-03 15:53:56.000,48.0,18759.0,19586.0,https://anaconda.org/conda-forge/medpy,2024-04-09 13:42:05.705,28948.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +575,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,,72.0,9.0,17.0,11.0,12.0,508.0,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'],4569.0,4470.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,99.0,2681373.0,2690865.0,https://anaconda.org/conda-forge/findspark,2023-06-16 13:16:45.065,901784.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +576,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2024-02-19 07:00:31.744000,2024-02-18 18:51:38,532.0,,39.0,5.0,15.0,6.0,48.0,324.0,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,14.0,24,True,2024-02-18 18:57:32.000,0.9.0,25.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],753.0,707.0,https://pypi.org/project/scikit-posthocs,2024-02-18 18:57:32.000,46.0,84859.0,106510.0,https://anaconda.org/conda-forge/scikit-posthocs,2024-02-19 07:00:31.744,931000.0,,,,,3.0,46.0,,,,,,,,,,,,,,,,,,, +577,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2024-05-12 10:24:37.000000,2023-02-15 20:15:59,196.0,,545.0,82.0,38.0,59.0,26.0,10870.0,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",16.0,23,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,48.0,48.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,798.0,887.0,https://anaconda.org/conda-forge/prettymaps,2023-06-18 08:40:31.986,2508.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +578,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,,606.0,145.0,1362.0,118.0,986.0,7996.0,Production infrastructure for machine learning at scale.,25.0,23,False,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,2.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,2.0,1180.0,1180.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +579,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2024-04-22 19:23:00.000000,2020-06-03 05:58:03,146.0,,1379.0,261.0,69.0,115.0,136.0,6329.0,Audio fingerprinting and recognition in Python.,23.0,23,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,21.0,21.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,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 21:45:14.000,2024-01-23 18:30:32.000000,2024-01-23 18:30:25,598.0,,740.0,104.0,588.0,107.0,345.0,5937.0,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,58.0,23,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 13:55:26.000,2.0,41376.0,41376.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +581,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2024-03-03 01:46:55.000000,2024-03-03 01:31:19,1096.0,1.0,924.0,114.0,675.0,146.0,542.0,5424.0,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,117.0,23,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],18.0,17.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,351.0,351.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +582,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2024-05-21 16:05:57.000000,2024-05-21 15:50:17,1604.0,45.0,817.0,146.0,1515.0,351.0,399.0,4988.0,Simple and Distributed Machine Learning.,118.0,23,True,2024-04-10 19:16:17.000,1.0.4-spark3.5,48.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +583,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 03:11:32.000,2024-03-28 17:33:46.000000,2023-01-15 11:37:16,279.0,,935.0,111.0,101.0,148.0,351.0,4904.0,Backtest trading strategies in Python.,19.0,23,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,4.0,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,4.0,15564.0,15564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +584,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2024-05-22 08:48:09.000000,2024-03-11 13:23:01,3347.0,3.0,820.0,230.0,111.0,57.0,621.0,4884.0,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,69.0,23,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,21.0,,,,,,,,3.0,1506.0,,,,,,,,,,,,,,,,,,, +585,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-11-13 07:16:00.000000,2023-03-05 22:07:59,1158.0,,1370.0,351.0,59.0,51.0,,4308.0,Python Algorithmic Trading Library.,11.0,23,False,,,8.0,pyalgotrade,,,,,184.0,184.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,,508.0,508.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +586,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2024-05-15 07:21:55.000000,2024-05-15 07:15:09,1598.0,7.0,514.0,150.0,609.0,86.0,75.0,3527.0,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",166.0,23,True,2020-01-27 22:06:00.000,0.0.0,2.0,reagent,,,,['pytorch'],,,https://pypi.org/project/reagent,2020-05-27 20:58:01.000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +587,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2023-11-30 16:30:21.000000,2021-08-30 19:33:24,440.0,,532.0,173.0,50.0,67.0,49.0,3472.0,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'],60.0,58.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2024-05-19 22:21:30.000000,2024-05-19 22:15:20,687.0,3.0,489.0,214.0,16.0,24.0,4.0,3366.0,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,23,True,2024-05-19 22:21:30.000,0.11.14,15.0,finmarketpy,,,,,13.0,13.0,https://pypi.org/project/finmarketpy,2024-05-19 22:21:30.000,,305.0,305.0,,,,,,,,3.0,51.0,,,,,,,,,,,,,,,,,,, +589,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-12-07 20:40:17.000000,2023-12-07 20:40:17,720.0,,223.0,54.0,36.0,75.0,123.0,3137.0,A GUI for Pandas DataFrames.,15.0,23,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],386.0,381.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,5.0,3270.0,3829.0,https://anaconda.org/conda-forge/pandasgui,2023-06-16 19:24:31.206,22378.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +590,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,,237.0,42.0,110.0,80.0,64.0,2872.0,"Text preprocessing, representation and visualization from zero to hero.",21.0,23,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,8315.0,8317.0,,,,,,,,3.0,123.0,,,,,,,,,,,,,,,,,,, +591,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,,413.0,131.0,136.0,60.0,128.0,2398.0,Deep Learning toolkit for Computer Vision.,15.0,23,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],63.0,61.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,2473.0,2634.0,,,,,,,,3.0,12783.0,,,,,,,,,,,,,,,,,,, +592,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,,439.0,64.0,122.0,32.0,350.0,2379.0,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'],65.0,63.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +593,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,,299.0,66.0,78.0,65.0,68.0,2102.0,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'],30.0,27.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,1285.0,1285.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +594,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,,243.0,44.0,33.0,51.0,90.0,1942.0,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,23,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],172.0,172.0,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,3307.0,3307.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +595,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 05:46:52.000,2024-02-06 10:59:55.000000,2024-02-06 10:59:47,125.0,,228.0,42.0,36.0,45.0,24.0,1855.0,Parallel t-SNE implementation with Python and Torch wrappers.,18.0,23,True,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],473.0,451.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,22.0,2306.0,3269.0,https://anaconda.org/conda-forge/multicore-tsne,2023-10-11 19:12:48.654,35646.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-12-20 21:18:02.000000,2022-08-31 09:45:24,594.0,,245.0,53.0,446.0,6.0,402.0,1728.0,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,23,False,2023-03-07 23:47:39.075,0.7.1,25.0,farm,conda-forge/farm,,,['pytorch'],3.0,,https://pypi.org/project/farm,2020-09-14 15:23:01.000,3.0,1884.0,1975.0,https://anaconda.org/conda-forge/farm,2023-06-16 19:25:45.236,3401.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +597,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,,116.0,38.0,11.0,33.0,51.0,1612.0,"A fast, efficient universal vector embedding utility package.",4.0,23,False,2020-05-25 11:26:36.000,0.1.143,128.0,pymagnitude,,,,,356.0,347.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,9.0,1160.0,1160.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +598,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2024-03-05 07:56:07.000000,2024-03-05 07:56:07,582.0,2.0,302.0,56.0,115.0,54.0,30.0,1546.0,Interpretability and explainability of data and machine learning models.,41.0,23,True,2023-07-31 18:54:38.000,0.3.0,5.0,aix360,,,,,89.0,88.0,https://pypi.org/project/aix360,2023-07-31 18:54:38.000,1.0,630.0,630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +599,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2024-05-23 14:10:39.000000,2023-11-08 21:41:55,157.0,,163.0,104.0,186.0,35.0,25.0,1498.0,fklearn: Functional Machine Learning.,55.0,23,True,2023-11-09 12:59:48.000,3.0.0,32.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2024-05-23 14:10:39.000,,600.0,600.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +600,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,,403.0,91.0,165.0,103.0,224.0,1357.0,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,61.0,23,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],42.0,42.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,jraph,deepmind/jraph,graph,,https://github.com/google-deepmind/jraph,https://github.com/google-deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2024-03-18 13:56:39.000000,2022-08-31 13:13:15,103.0,,87.0,41.0,15.0,9.0,27.0,1327.0,A Graph Neural Network Library in Jax.,17.0,23,False,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],193.0,174.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,19.0,10588.0,10742.0,https://anaconda.org/conda-forge/jraph,2023-06-16 19:27:46.249,4775.0,,,,,3.0,,,,google-deepmind/jraph,,,,,,,,,,,,,,,, +602,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,,161.0,33.0,22.0,42.0,34.0,1273.0,"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'],61.0,61.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,,799.0,799.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +603,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2024-05-15 00:02:07.000000,2024-04-10 03:25:54,547.0,11.0,128.0,21.0,270.0,12.0,132.0,1234.0,A standard framework for modelling Deep Learning Models for tabular data.,21.0,23,True,2024-01-15 12:17:19.000,1.1.0,12.0,pytorch_tabular,,,,['pytorch'],2.0,,https://pypi.org/project/pytorch_tabular,2024-01-15 02:46:25.000,2.0,4176.0,4176.0,,,,,,,,1.0,27.0,,,,,,,,,,,,,,,,,,, +604,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2024-05-07 04:53:40.000000,2024-04-29 07:05:47,431.0,5.0,150.0,92.0,122.0,33.0,46.0,1150.0,PFRL: a PyTorch-based deep reinforcement learning library.,20.0,23,True,2023-07-16 15:34:00.704,0.4.0,6.0,pfrl,,,,,111.0,110.0,https://pypi.org/project/pfrl,2023-07-16 15:34:00.704,1.0,347.0,347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +605,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2023-11-17 11:03:05.000000,2023-11-17 10:59:26,412.0,,184.0,34.0,73.0,3.0,86.0,1037.0,Layers Outputs and Gradients in Keras. Made easy.,16.0,23,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],223.0,214.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,9.0,4462.0,4462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2024-03-29 10:21:35.000000,2023-03-29 07:39:45,85.0,,84.0,26.0,55.0,36.0,28.0,944.0,Unsupervised text tokenizer focused on computational efficiency.,8.0,23,False,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,702.0,679.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,23.0,40107.0,41553.0,https://anaconda.org/conda-forge/youtokentome,2023-09-27 19:23:04.851,46295.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +607,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2023-10-23 02:52:41.000000,2022-07-04 00:10:02,195.0,,149.0,23.0,46.0,15.0,82.0,914.0,kapre: Keras Audio Preprocessors.,13.0,23,False,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2404.0,2395.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,9.0,1269.0,1269.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +608,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 20:26:10.000,2024-03-14 21:28:06.000000,2024-02-01 21:38:56,330.0,,162.0,29.0,111.0,86.0,56.0,888.0,Source code/webpage/demos for the What-If Tool.,20.0,23,True,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,11.0,2.0,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,6.0,4226.0,51877.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2023-06-16 19:20:28.498,2187409.0,,,,,3.0,,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,3.0,1111.0,,,,,,,,,,, +609,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,,84.0,14.0,77.0,220.0,218.0,859.0,"Experiment tracking, ML developer tools.",29.0,23,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,96.0,96.0,https://pypi.org/project/guildai,2022-05-11 01:13:31.000,,1150.0,1150.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +610,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2024-05-21 23:28:19.000000,2024-05-13 15:22:51,225.0,3.0,83.0,18.0,158.0,28.0,85.0,839.0,Bayesian active learning library for research and industrial usecases.,21.0,23,True,2024-04-04 17:31:05.000,1.9.2,20.0,baal,conda-forge/baal,,,,57.0,56.0,https://pypi.org/project/baal,2024-04-04 17:29:59.000,1.0,4606.0,4814.0,https://anaconda.org/conda-forge/baal,2023-06-12 15:14:19.747,8322.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +611,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2024-05-20 17:06:25.000000,2024-05-20 17:04:15,293.0,7.0,249.0,46.0,18.0,10.0,91.0,830.0,Data compression in TensorFlow.,21.0,23,True,2024-03-27 19:52:35.000,2.16.0,25.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2024-02-02 01:38:32.000,2.0,11173.0,11173.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +612,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2024-05-17 11:31:45.001000,2024-04-29 13:46:08,600.0,3.0,135.0,15.0,59.0,27.0,129.0,767.0,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,34.0,23,True,2023-10-12 06:54:28.000,1.6.3,43.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],51.0,,https://pypi.org/project/torch-cluster,2023-10-12 06:52:43.000,51.0,13384.0,15653.0,https://anaconda.org/conda-forge/pytorch_cluster,2024-05-17 11:31:45.001,108918.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +613,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,,150.0,25.0,154.0,79.0,137.0,761.0,Google maps for Jupyter notebooks.,16.0,23,False,2019-07-21 08:49:48.715,0.9.0,96.0,gmaps,conda-forge/gmaps,,,['jupyter'],22.0,4.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,13.0,8305.0,12831.0,https://anaconda.org/conda-forge/gmaps,2023-06-16 13:23:14.332,316954.0,,,,,3.0,,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,5.0,753.0,,,,,,,,,,, +614,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2024-03-15 12:50:01.000000,2018-12-04 14:43:25,32.0,,89.0,21.0,9.0,25.0,41.0,675.0,"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'],442.0,432.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,10.0,39496.0,39525.0,https://anaconda.org/anaconda/pivottablejs,2023-12-06 04:45:55.894,2920.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +615,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2024-05-02 14:24:25.000000,2024-05-02 14:23:46,346.0,3.0,85.0,7.0,20.0,1.0,91.0,557.0,Use advanced feature engineering strategies and select best features from your data set with a single line of code...,18.0,23,True,2024-02-10 13:12:00.000,0.5.7,162.0,featurewiz,,,,,69.0,67.0,https://pypi.org/project/featurewiz,2024-02-10 13:12:00.000,2.0,8292.0,8292.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +616,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2024-05-22 18:24:25.000000,2024-05-22 04:25:13,977.0,14.0,179.0,24.0,847.0,120.0,388.0,555.0,MONAI Label is an intelligent open source image labeling and learning tool.,59.0,23,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,,832.0,3289.0,,,,,,,,3.0,83561.0,,,,,,,,,,,,,,,,,,, +617,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2024-05-11 10:46:51.000000,2024-05-11 10:43:02,331.0,11.0,99.0,26.0,7.0,1.0,33.0,500.0,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,9.0,23,True,2024-05-11 10:46:51.000,0.1.800,146.0,autoviml,,,,,28.0,25.0,https://pypi.org/project/autoviml,2024-05-11 10:46:51.000,3.0,2209.0,2209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +618,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,,2010-05-02 10:00:33.000,2024-05-06 13:22:25.000000,2024-05-06 13:22:25,6709.0,1.0,144.0,36.0,395.0,37.0,136.0,373.0,Neuroimaging in Python FMRI analysis package.,69.0,23,False,2023-12-21 16:45:52.000,0.6.0,8.0,nipy,conda-forge/nipy,,,,247.0,226.0,https://pypi.org/project/nipy,2023-12-21 16:45:52.000,21.0,1895.0,3226.0,https://anaconda.org/conda-forge/nipy,2023-06-16 13:21:17.395,109218.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +619,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2024-02-25 19:17:18.000000,2024-02-25 19:17:13,576.0,1.0,83.0,29.0,318.0,75.0,27.0,368.0,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,23,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],403.0,396.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,7.0,47698.0,47698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +620,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-12-11 19:25:59.000000,2023-11-17 21:43:05,4051.0,,49.0,14.0,712.0,217.0,204.0,281.0,Asynchronous Distributed Hyperparameter Optimization.,32.0,23,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,111.0,103.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,1482.0,1482.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +621,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2024-05-12 00:09:57.000000,2024-04-22 13:58:48,483.0,57.0,105.0,19.0,510.0,58.0,124.0,260.0,An open-source toolkit for large-scale genomic analysis.,27.0,23,False,2024-03-12 08:52:09.000,2.0.0,16.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2024-03-12 08:52:09.000,,41539.0,41645.0,https://anaconda.org/conda-forge/glow,2024-03-13 03:00:18.463,4125.0,,,,,3.0,55.0,,,,,,,,,,,,,,,,,,, +622,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 06:44:03.000,2024-03-12 10:32:40.000000,2018-07-23 21:04:09,90.0,,27.0,7.0,19.0,4.0,9.0,155.0,Get list of common stop words in various languages in Python.,8.0,23,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,2251.0,2207.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,44.0,102573.0,102573.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +623,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,,1704.0,19.0,17.0,72.0,24.0,5011.0,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,,,,,28.0,28.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,2751.0,2751.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +624,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2024-02-14 12:21:00.000000,2022-08-09 13:26:32,565.0,,1228.0,306.0,209.0,64.0,211.0,4740.0,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,False,,,,,,shadowreaver/crypto-signal,,,,,,,,,1792.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,143403.0,3.0,,,,,,,,,,,,,,,,,,,, +625,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,,658.0,158.0,130.0,83.0,101.0,4615.0,A collection of infrastructure and tools for research in neural network interpretability.,40.0,22,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],6.0,,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,518.0,518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +626,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,,321.0,74.0,37.0,95.0,75.0,4378.0,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,22,False,2022-03-13 19:09:50.000,0.11.1,67.0,deep-daze,,,,,51.0,51.0,https://pypi.org/project/deep-daze,2022-03-13 19:09:50.000,,327.0,327.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +627,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,,810.0,327.0,89.0,91.0,306.0,3870.0,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,,,,,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,,98.0,121.0,https://anaconda.org/anaconda/neon,2023-06-16 13:24:50.216,1890.0,,,,,3.0,384.0,,,,,,,,,,,,,,,,,,, +628,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,,675.0,74.0,53.0,179.0,101.0,3385.0,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'],8.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,8.0,2948.0,2957.0,,,,,,,,3.0,562.0,,,,,,,,,,,,,,,,,,, +629,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2024-03-03 01:41:37.000000,2024-03-03 01:31:19,412.0,1.0,328.0,53.0,414.0,82.0,106.0,3233.0,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",38.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],41.0,40.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,157.0,157.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,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,,386.0,207.0,9.0,4.0,16.0,3141.0,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],148.0,146.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,2.0,1296.0,1296.0,,,,,,,,3.0,,,,google-deepmind/trfl,,,,,,,,,,,,,,,, +631,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2024-05-20 23:57:09.000000,2021-05-06 12:10:38,127.0,,156.0,48.0,67.0,2.0,30.0,3021.0,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,22,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,50.0,50.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,407.0,460.0,https://anaconda.org/conda-forge/opyrator,2023-06-18 08:40:31.958,1506.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +632,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2024-03-05 03:41:26.000,2024-05-07 08:59:07.000000,2024-04-08 05:25:46,3457.0,3.0,727.0,7.0,5.0,406.0,855.0,2606.0,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,22,True,2024-03-05 10:02:36.000,0.1.0,418.0,analytics-zoo,,,,['spark'],1.0,,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +633,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,,381.0,78.0,144.0,36.0,126.0,2381.0,"Toolkit for Machine Learning, Natural Language Processing, and Text Generation, in TensorFlow. This is part of the..",43.0,22,False,2019-11-19 04:11:18.000,0.2.4,6.0,texar,,,,['tensorflow'],29.0,27.0,https://pypi.org/project/texar,2019-11-19 04:11:18.000,2.0,55.0,55.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +634,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,,367.0,86.0,4.0,4.0,18.0,2174.0,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,22,False,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,48.0,48.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,,1770.0,1770.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +635,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2024-01-18 18:33:20.000000,2024-01-16 17:27:35,27.0,,102.0,37.0,30.0,29.0,79.0,1794.0,"A flexible, intuitive and fast forecasting library.",10.0,22,True,2024-01-18 18:33:20.000,1.0.0,11.0,greykite,,,,,30.0,30.0,https://pypi.org/project/greykite,2024-01-12 20:13:07.000,,10727.0,10727.0,,,,,,,,3.0,26.0,,,,,,,,,,,,,,,,,,, +636,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2024-02-11 12:41:49.000000,2020-04-24 06:58:09,58.0,,255.0,44.0,14.0,57.0,35.0,1773.0,"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']",281.0,270.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,11.0,4433.0,4433.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,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,,213.0,38.0,111.0,56.0,42.0,1707.0,"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'],158.0,152.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,2891.0,5147.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2023-06-16 13:18:02.734,210937.0,,,,,3.0,425.0,,,,,,,,,,,,,,,,,,, +638,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 20:51:25.000,2024-04-08 12:49:27.000000,2021-09-29 18:48:52,239.0,,203.0,38.0,7.0,15.0,33.0,1642.0,pip install antialiased-cnns to improve stability and accuracy.,6.0,22,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],57.0,51.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,3310.0,3310.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +639,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,,311.0,98.0,45.0,187.0,216.0,1638.0,[UNMAINTAINED] Automated machine learning for analytics & production.,14.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,9.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,9.0,939.0,939.0,,,,,,,,3.0,49.0,-2.0,,,,,,,,,,,,,,,,,, +640,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,,290.0,44.0,801.0,71.0,485.0,1612.0,jiant is an nlp toolkit.,60.0,22,False,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,,110.0,110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +641,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-11-17 19:39:54.000000,2023-11-17 19:39:45,658.0,,255.0,50.0,312.0,99.0,17.0,1559.0,Mesh TensorFlow: Model Parallelism Made Easier.,50.0,22,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],3.0,,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,3.0,46676.0,46676.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +642,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2024-04-01 08:11:14.000000,2024-04-01 08:11:13,912.0,3.0,207.0,56.0,52.0,78.0,149.0,1541.0,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,37.0,22,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,,871.0,902.0,,,,,,,,3.0,2795.0,,,,,,,,,,,,,,,,,,, +643,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2024-04-18 10:50:41.000000,2024-04-18 10:50:48,1196.0,6.0,116.0,26.0,68.0,4.0,29.0,1489.0,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,22,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 19:59:57.000,7.0,7484.0,7484.0,,,,,,,,3.0,17.0,,,,,,,,,,,,,,,,,,, +644,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2023-11-04 08:38:31.000000,2023-09-03 19:16:54,508.0,,181.0,31.0,86.0,16.0,32.0,1289.0,"A program for financial portfolio management, analysis and optimisation.",11.0,22,True,2023-09-04 06:57:56.000,0.7.0,15.0,FinQuant,,,,,93.0,92.0,https://pypi.org/project/FinQuant,2023-09-04 06:57:56.000,1.0,544.0,544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +645,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,,188.0,27.0,57.0,22.0,36.0,1276.0,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],165.0,160.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,5.0,709.0,709.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +646,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2024-05-22 17:18:53.000000,2024-05-22 17:18:49,834.0,1.0,326.0,51.0,795.0,10.0,300.0,1207.0,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'],,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,,1464.0,1464.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +647,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2024-05-13 01:48:48.000000,2024-05-13 01:47:40,189.0,5.0,109.0,37.0,25.0,17.0,116.0,1197.0,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2024-05-13 01:50:26.000,2.2.2,82.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2023-12-06 05:33:15.000,8.0,5553.0,5553.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +648,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,,215.0,66.0,29.0,31.0,12.0,1160.0,Anomaly Detection and Correlation library.,9.0,22,True,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,79.0,77.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,2.0,9304.0,9304.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +649,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2024-01-27 00:07:06.000000,2024-01-04 20:41:21,582.0,,294.0,96.0,121.0,62.0,97.0,1014.0,"Machine learning, statistics, and data mining for astronomy and astrophysics.",31.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],14.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,14.0,1736.0,2274.0,https://anaconda.org/conda-forge/astroml,2023-06-16 13:21:24.079,43655.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,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,,110.0,52.0,98.0,41.0,51.0,1009.0,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,22,False,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],241.0,230.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,11.0,3306.0,3306.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +651,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2024-02-13 05:58:29.000000,2024-02-13 05:55:37,305.0,,90.0,18.0,73.0,18.0,44.0,966.0,Audio processing by using pytorch 1D convolution network.,15.0,22,True,2024-02-13 05:58:29.000,0.3.3,40.0,nnAudio,,,,,182.0,178.0,https://pypi.org/project/nnAudio,2024-02-13 05:58:29.000,4.0,9899.0,9899.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2024-03-20 19:51:28.000000,2024-03-20 19:28:51,85.0,2.0,193.0,24.0,58.0,12.0,27.0,934.0,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",18.0,22,True,2024-03-20 19:51:28.000,0.2.1,12.0,saliency,,,,['tensorflow'],92.0,84.0,https://pypi.org/project/saliency,2024-03-20 19:51:28.000,8.0,5148.0,5148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +653,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,,134.0,24.0,594.0,63.0,511.0,841.0,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,22,False,2022-02-10 15:55:46.374,0.12.0,41.0,icevision,,,,,6.0,,https://pypi.org/project/icevision,2022-02-10 15:55:46.374,6.0,3077.0,3077.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +654,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-11-13 16:09:34.000000,2020-02-25 14:31:53,879.0,,104.0,29.0,60.0,22.0,74.0,836.0,ML-Ensemble high performance ensemble learning.,7.0,22,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,422.0,421.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,1.0,1998.0,1998.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2024-05-23 12:09:23.000000,2024-05-14 10:29:23,1196.0,47.0,123.0,30.0,1004.0,37.0,50.0,757.0,Machine learning framework for both deep learning and traditional algorithms.,37.0,22,True,2023-12-26 02:42:15.000,2.0.210,15.0,neoml,,,,,,,https://pypi.org/project/neoml,2023-12-26 02:42:15.000,,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +656,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,,75.0,26.0,37.0,27.0,21.0,735.0,Python library to easily log experiments and parallelize hyperparameter search for neural networks.,16.0,22,False,2019-12-01 01:19:50.000,0.7.5,64.0,test_tube,,,,,33.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,33.0,65128.0,65128.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,, +657,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2024-05-06 14:08:02.000000,2023-09-19 18:44:18,355.0,,118.0,18.0,79.0,24.0,34.0,688.0,Working with molecular structures in pandas DataFrames.,15.0,22,True,2023-08-28 15:31:05.000,0.5.1de,20.0,biopandas,conda-forge/biopandas,,,['pandas'],271.0,248.0,https://pypi.org/project/biopandas,2023-08-28 15:32:25.000,23.0,51026.0,52739.0,https://anaconda.org/conda-forge/biopandas,2023-06-16 13:21:19.340,152513.0,,,,,3.0,,,,BioPandas/biopandas,,,,,,,,,,,,,,,, +658,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,,38.0,685.0,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,,,,443.0,438.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,5.0,12709.0,12764.0,https://anaconda.org/conda-forge/vecstack,2023-06-16 19:26:00.374,1984.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +659,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2023-12-04 11:10:47.000000,2023-12-04 11:10:46,442.0,,68.0,25.0,433.0,10.0,237.0,633.0,torchbearer: A model fitting library for PyTorch.,14.0,22,True,2023-12-01 18:48:07.000,0.5.5,26.0,torchbearer,,,,['pytorch'],91.0,87.0,https://pypi.org/project/torchbearer,2023-12-01 18:48:07.000,4.0,650.0,650.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +660,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,,110.0,26.0,23.0,57.0,35.0,605.0,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,,,,454.0,431.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,23.0,9408.0,9869.0,https://anaconda.org/conda-forge/hpbandster,2023-06-16 19:24:00.330,18911.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,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 19:20:13.000,2023-11-18 04:12:38.000000,2021-01-30 21:50:02,249.0,,129.0,22.0,19.0,8.0,30.0,588.0,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'],159.0,154.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,11525.0,11525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2024-03-21 11:25:40.000000,2021-12-19 09:41:43,133.0,,57.0,10.0,21.0,14.0,37.0,545.0,Joyplots in Python with matplotlib & pandas.,8.0,22,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,395.0,386.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,9.0,14629.0,15043.0,https://anaconda.org/conda-forge/joypy,2023-06-16 16:14:43.440,25698.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +663,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2024-05-16 19:00:04.000000,2024-03-19 15:52:03,1216.0,2.0,65.0,7.0,210.0,18.0,109.0,508.0,Happy Transformer makes it easy to fine-tune and perform inference with NLP Transformer models.,14.0,22,True,2023-08-07 03:02:27.000,3.0.0,40.0,happytransformer,,,,['huggingface'],257.0,252.0,https://pypi.org/project/happytransformer,2023-08-05 22:54:02.000,5.0,2658.0,2658.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,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 15:04:58.000,2024-05-05 16:01:33.000000,2024-05-05 16:01:32,1771.0,64.0,69.0,7.0,216.0,47.0,81.0,506.0,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,20.0,22,False,2023-12-05 11:42:47.000,0.5.3,27.0,quantus,,,,,27.0,26.0,https://pypi.org/project/quantus,2023-12-05 11:42:47.000,1.0,718.0,723.0,,,,,,,,3.0,153.0,,,,,,,,,,,,,,,,,,, +665,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2024-05-17 17:10:37.000000,2024-05-17 17:08:49,2279.0,5.0,41.0,12.0,11.0,8.0,52.0,493.0,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,22,True,2024-05-17 16:42:37.000,4.6.1,76.0,hyperactive,,,,,42.0,29.0,https://pypi.org/project/hyperactive,2024-05-17 16:42:37.000,13.0,2936.0,2938.0,,,,,,,,3.0,139.0,2.0,,,,,,,,,,,,,,,,,, +666,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 22:49:49.000,2024-04-15 06:19:14.000000,2024-04-15 06:19:14,282.0,5.0,105.0,13.0,130.0,18.0,138.0,473.0,A Python library for dynamic classifier and ensemble selection.,17.0,22,True,2024-04-12 03:07:31.000,0.3.7,6.0,deslib,,,,['sklearn'],50.0,47.0,https://pypi.org/project/deslib,2024-04-12 03:07:31.000,3.0,1193.0,1193.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,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 10:59:08.000,2024-04-14 12:59:12.000000,2023-03-05 00:16:57,419.0,,99.0,36.0,276.0,71.0,173.0,471.0,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",19.0,22,False,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,77.0,75.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,2.0,1384.0,1387.0,,,,,,,,3.0,307.0,,,,,,,,,,,,,,,,,,, +668,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2024-02-08 01:53:44.000000,2024-02-08 01:48:49,168.0,,48.0,17.0,2.0,11.0,3.0,373.0,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,3.0,22,True,2024-02-08 01:53:44.000,0.1.3,14.0,suod,,,,,521.0,513.0,https://pypi.org/project/suod,2024-02-08 01:53:44.000,8.0,13504.0,13504.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +669,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2024-04-27 16:26:42.000000,2024-04-27 16:26:42,258.0,7.0,27.0,9.0,5.0,22.0,60.0,317.0,Multiple Imputation with LightGBM in Python.,8.0,22,True,2023-11-16 02:24:03.000,5.7.0,45.0,miceforest,conda-forge/miceforest,,,,141.0,136.0,https://pypi.org/project/miceforest,2023-11-16 02:24:03.000,5.0,43691.0,44065.0,https://anaconda.org/conda-forge/miceforest,2023-06-16 19:26:58.237,12724.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +670,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 21:07:17.000,2024-04-18 12:38:22.000000,2023-02-07 20:17:52,60.0,,56.0,26.0,42.0,8.0,10.0,285.0,Distributed scikit-learn meta-estimators in PySpark.,8.0,22,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 22:20:14.000,2.0,443987.0,443987.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +671,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,,33.0,12.0,9.0,4.0,12.0,231.0,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,22,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,1139.0,1083.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,56.0,102403.0,103839.0,https://anaconda.org/conda-forge/py3nvml,2023-09-25 06:14:21.168,61777.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,DEβ«ΆTR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2024-03-12 15:58:25.000000,2024-03-12 15:58:25,48.0,1.0,2312.0,149.0,89.0,256.0,286.0,12946.0,End-to-End Object Detection with Transformers.,27.0,21,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],21.0,21.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +673,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2024-05-09 19:10:29.000000,2020-04-18 19:15:25,24.0,,1138.0,142.0,45.0,39.0,10.0,8509.0,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,21,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],52.0,49.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,3.0,986.0,986.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebuly,https://github.com/nebuly-ai/nebuly,Apache-2.0,2022-02-12 17:17:14.000,2023-10-28 10:19:07.000000,2023-10-28 10:19:07,763.0,,645.0,94.0,150.0,98.0,103.0,8359.0,The user analytics platform for LLMs.,40.0,21,True,2023-06-18 11:03:00.511,0.10.0,26.0,nebullvm,,,,,2.0,,https://pypi.org/project/nebullvm,2023-06-18 11:03:00.511,2.0,712.0,712.0,,,,,,,,3.0,,,,nebuly-ai/nebuly,,,,,,,,,,,,,,,, +675,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-12-22 07:27:57.000000,2023-10-19 02:11:57,190.0,,1170.0,94.0,48.0,391.0,284.0,6318.0,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,31.0,21,True,,,1.0,pyslowfast,,,,['pytorch'],16.0,16.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,33.0,33.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +676,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,,781.0,223.0,25.0,8.0,122.0,5329.0,Build Graph Nets in Tensorflow.,11.0,21,False,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],22.0,20.0,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,2.0,1002.0,1002.0,,,,,,,,3.0,,,,google-deepmind/graph_nets,,,,,,,,,,,,,,,, +677,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 16:09:50.000,2024-05-20 22:36:46.000000,2023-08-15 07:38:22,956.0,,542.0,166.0,47.0,37.0,28.0,4320.0,High-performance TensorFlow library for quantitative finance.,47.0,21,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,579.0,579.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +678,NLP Architect,IntelLabs/nlp-architect,nlp,,https://github.com/IntelLabs/nlp-architect,https://github.com/IntelLabs/nlp-architect,Apache-2.0,2018-05-17 21:00:13.000,2022-11-07 16:21:47.000000,2022-11-07 16:21:47,957.0,,454.0,165.0,120.0,22.0,112.0,2931.0,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,False,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +679,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,,327.0,73.0,2.0,18.0,7.0,2910.0,An optimizer that trains as fast as Adam and as good as SGD.,2.0,21,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],202.0,199.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,3.0,1320.0,1320.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +680,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2024-03-20 15:45:40.000000,2023-08-26 20:55:56,106.0,,237.0,61.0,106.0,27.0,56.0,2112.0,"Codebase for Image Classification Research, written in PyTorch.",19.0,21,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],18.0,18.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,1190.0,1190.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +681,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,,251.0,53.0,35.0,16.0,105.0,2063.0,"Reformer, the efficient Transformer, in Pytorch.",11.0,21,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,,9924.0,9924.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +682,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2024-01-30 02:43:49.000000,2023-08-10 17:09:47,309.0,,159.0,23.0,33.0,32.0,31.0,1922.0,"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'],29.0,28.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,330.0,491.0,https://anaconda.org/conda-forge/ecco,2023-06-16 19:28:19.211,4618.0,,,,,3.0,94.0,,,,,,,,,,,,,,,,,,, +683,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2024-01-30 11:59:18.000000,2024-01-30 11:58:43,345.0,,341.0,42.0,68.0,163.0,95.0,1846.0,Super easy library for BERT based NLP models.,36.0,21,True,2024-01-30 11:59:18.000,2.0.25,71.0,fast-bert,,,,,,,https://pypi.org/project/fast-bert,2024-01-30 11:59:18.000,,1096.0,1096.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +684,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2024-04-22 13:05:03.000000,2024-02-04 20:37:53,1083.0,,272.0,30.0,40.0,27.0,176.0,1791.0,A library for graph deep learning research.,50.0,21,False,2023-04-07 20:33:15.000,1.1.0,10.0,dig,,,,,,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,,473.0,473.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +685,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2024-04-09 15:16:39.000000,2024-04-09 15:16:39,371.0,1.0,150.0,18.0,71.0,19.0,39.0,1700.0,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,17.0,21,True,2023-09-06 15:46:59.000,0.1.2,12.0,pythae,,,,['pytorch'],23.0,23.0,https://pypi.org/project/pythae,2023-09-06 15:46:59.000,,1237.0,1237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,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,,197.0,30.0,423.0,11.0,163.0,1651.0,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,29.0,21,False,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,,62.0,62.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +687,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2024-04-19 09:46:18.000000,2020-12-17 06:57:15,932.0,,292.0,66.0,202.0,5.0,74.0,1584.0,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,,12.0,230.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13117.0,3.0,,,,,,,,,,,,,,,,,,,, +688,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,,278.0,71.0,728.0,51.0,64.0,1584.0,An end-to-end PyTorch framework for image and video classification.,77.0,21,False,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 05:15:00.935,4.0,586.0,971.0,https://anaconda.org/conda-forge/classy_vision,2023-06-16 19:17:34.578,20044.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,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,,140.0,102.0,150.0,21.0,20.0,1551.0,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,False,2022-02-18 18:01:38.000,0.8.6,233.0,lore,,,,,21.0,21.0,https://pypi.org/project/lore,2022-02-18 18:01:38.000,,1230.0,1230.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,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,,272.0,65.0,51.0,23.0,75.0,1479.0,MLBox is a powerful Automated Machine Learning python library.,9.0,21,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,,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2024-04-17 19:59:55.000000,2024-04-17 19:59:46,779.0,6.0,182.0,18.0,262.0,77.0,94.0,1285.0,Generate Diverse Counterfactual Explanations for any machine learning model.,19.0,21,True,2023-10-26 11:36:48.000,0.11,12.0,dice-ml,,,,"['tensorflow', 'pytorch']",6.0,,https://pypi.org/project/dice-ml,2023-10-27 03:54:06.000,6.0,56126.0,56126.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +692,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,,220.0,63.0,48.0,36.0,90.0,1263.0,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'],34.0,34.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,,328.0,328.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +693,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,204.0,28.0,61.0,52.0,61.0,1069.0,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,123.0,121.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,2.0,476.0,481.0,,,,,,,,3.0,608.0,,,,,,,,,,,,,,,,,,, +694,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2023-10-20 17:48:54.000000,2023-10-20 17:48:54,207.0,,250.0,47.0,46.0,26.0,127.0,1059.0,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,28.0,21,True,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2024-01-21 21:15:50.000000,2023-08-18 11:01:23,442.0,,210.0,53.0,86.0,64.0,207.0,1023.0,Line based ATR Engine based on OCRopy.,20.0,21,True,2023-08-18 11:50:18.000,1.0.6,41.0,calamari_ocr,,,,,5.0,,https://pypi.org/project/calamari_ocr,2023-08-18 11:50:18.000,5.0,2177.0,2177.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,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,,169.0,56.0,14.0,30.0,19.0,1021.0,python toolbox for visualizing geographical data and making maps.,8.0,21,False,2016-07-27 14:55:01.000,0.3.2,4.0,geoplotlib,conda-forge/geoplotlib,,,,176.0,174.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,2.0,896.0,1133.0,https://anaconda.org/conda-forge/geoplotlib,2023-06-16 19:26:09.140,8555.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +697,UForm,unum-cloud/uform,nlp,,https://github.com/unum-cloud/uform,https://github.com/unum-cloud/uform,Apache-2.0,2023-02-21 10:04:40.000,2024-05-01 04:05:18.000000,2024-04-25 03:40:02,286.0,103.0,53.0,13.0,59.0,5.0,19.0,912.0,"Pocket-Sized Multimodal AI for content understanding and generation across multilingual texts, images, and video, up..",14.0,21,True,2024-04-25 03:41:41.000,3.0.2,34.0,uform,,,,['pytorch'],7.0,6.0,https://pypi.org/project/uform,2024-04-25 03:41:41.000,1.0,1089.0,1106.0,,,,,,,,3.0,267.0,,,,,,,,,,,,,,,,,,, +698,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,,76.0,6.0,5.0,4.0,23.0,831.0,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,21,False,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],449.0,437.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,12.0,33032.0,33032.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,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,,160.0,38.0,46.0,43.0,49.0,800.0,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,100.0,91.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,9.0,550.0,550.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2024-01-27 00:16:56.000000,2024-01-27 00:08:50,463.0,,78.0,26.0,162.0,51.0,62.0,761.0,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,26.0,21,True,2023-11-06 22:17:30.000,1.8.0,11.0,objax,,,,['jax'],57.0,53.0,https://pypi.org/project/objax,2023-11-06 22:03:10.000,4.0,677.0,677.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +701,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,,144.0,25.0,19.0,26.0,5.0,738.0,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,21,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],633.0,625.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,8.0,47715.0,47892.0,https://anaconda.org/conda-forge/treeinterpreter,2023-06-16 19:22:55.011,7624.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +702,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2024-05-21 08:40:24.000000,2024-03-27 18:40:09,1505.0,2.0,80.0,34.0,661.0,22.0,118.0,698.0,Scikit-learn style model finetuning for NLP.,23.0,21,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 10:19:51.000,2.0,204.0,204.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +703,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2024-04-28 01:04:18.000000,2024-04-25 13:16:31,491.0,1.0,110.0,33.0,558.0,206.0,246.0,694.0,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",32.0,21,True,2024-01-15 02:09:18.000,23.12.00,16.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-08-29 16:27:32.000,1.0,8548.0,8548.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,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,,106.0,30.0,1.0,14.0,3.0,635.0,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,False,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",641.0,624.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,17.0,18652.0,18652.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +705,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,,54.0,29.0,12.0,13.0,15.0,631.0,Log TensorBoard events without touching TensorFlow.,5.0,21,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,204.0,196.0,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,8.0,16511.0,16511.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +706,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,,57.0,19.0,216.0,49.0,313.0,599.0,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,,,,,61.0,60.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,291.0,291.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +707,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2024-01-31 14:01:51.000000,2023-02-14 11:18:28,249.0,,95.0,26.0,32.0,35.0,6.0,592.0,machine learning with logical rules in Python.,19.0,21,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],391.0,383.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,8.0,23060.0,23060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +708,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,,64.0,28.0,31.0,5.0,24.0,565.0,Python module for machine learning time series:.,14.0,21,False,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,49.0,47.0,https://pypi.org/project/seglearn,2021-03-13 16:18:30.000,2.0,1633.0,1633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +709,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 08:06:41.000,2024-05-22 11:57:09.000000,2023-12-29 21:08:41,477.0,,57.0,26.0,9.0,17.0,37.0,523.0,Active Learning for Text Classification in Python.,6.0,21,True,2023-12-29 21:23:01.000,1.3.3,20.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",28.0,28.0,https://pypi.org/project/small-text,2023-12-29 21:17:11.000,,652.0,926.0,https://anaconda.org/conda-forge/small-text,2023-12-29 21:40:00.838,6037.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,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,,27.0,9.0,9.0,2.0,9.0,406.0,Fast PyTorch based DSP for audio and 1D signals.,2.0,21,False,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],1398.0,1392.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,6.0,205620.0,205620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,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,,52.0,24.0,231.0,57.0,195.0,380.0,Studio: Simplify and expedite model building process.,24.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,900.0,900.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2024-05-18 03:50:45.535000,2024-05-01 02:14:09,660.0,2.0,65.0,30.0,457.0,22.0,91.0,371.0,IPython/Jupyter notebook module for Vega and Vega-Lite.,15.0,21,True,2023-07-18 13:09:18.000,4.0.0,40.0,vega,conda-forge/vega,,,['jupyter'],18.0,4.0,https://pypi.org/project/vega,2023-04-12 02:09:01.110,14.0,18527.0,30856.0,https://anaconda.org/conda-forge/vega,2024-05-18 03:50:45.535,591825.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +713,TimeSide,Parisson/TimeSide,audio,,https://github.com/yomguy/TimeSide,https://github.com/yomguy/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-10-24 10:20:08.000000,2023-02-01 10:38:52,3728.0,,60.0,28.0,110.0,33.0,184.0,367.0,scalable audio processing framework and server written in Python.,22.0,21,False,2023-01-03 17:34:09.000,1.1.3,28.0,TimeSide,,,,,17.0,17.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,,235.0,235.0,,,,,,,,3.0,,2.0,,yomguy/TimeSide,,,,,,,,,,,,,,,, +714,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,,49.0,11.0,37.0,29.0,37.0,349.0,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,,,,,249.0,233.0,https://pypi.org/project/impyute,2017-05-31 08:31:47.000,16.0,3826.0,3826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +715,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,,33.0,18.0,6.0,19.0,21.0,306.0,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,28.0,21,True,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],98.0,97.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,1.0,1413.0,1413.0,,,,,,,,3.0,,,,google-deepmind/launchpad,,,,,,,,,,,,,,,, +716,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/vega/vegafusion,https://github.com/vega/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2024-05-23 13:09:08.000000,2024-05-23 13:09:08,661.0,17.0,14.0,24.0,350.0,44.0,84.0,296.0,Serverside scaling for Vega and Altair visualizations.,4.0,21,False,2024-05-09 19:19:11.000,1.6.9,75.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,5.0,,https://pypi.org/project/vegafusion-jupyter,2024-05-09 19:01:07.000,2.0,1001.0,6262.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2024-05-10 13:02:13.580,125631.0,,,,,3.0,5114.0,,,vega/vegafusion,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2024-05-09 19:11:31.675,3.0,248.0,,,,,,,,,,, +717,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2024-05-22 08:47:49.000000,2024-05-22 08:44:26,738.0,37.0,24.0,5.0,283.0,6.0,,291.0,Data search & enrichment library for Machine Learning Easily find and add relevant features to your ML & AI pipeline..,12.0,21,False,2024-05-22 08:47:49.000,1.1.288,719.0,upgini,,,,,6.0,6.0,https://pypi.org/project/upgini,2024-05-22 08:47:49.000,,8272.0,8272.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2024-05-21 04:33:27.096000,2024-01-18 11:58:51,626.0,,68.0,28.0,31.0,30.0,113.0,263.0,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",20.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,18.0,,https://pypi.org/project/somoclu,2023-02-18 02:51:08.166,18.0,1426.0,3542.0,https://anaconda.org/conda-forge/somoclu,2024-05-21 04:33:27.096,90288.0,,,,,3.0,1915.0,,,,,,,,,,,,,,,,,,, +719,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2024-05-02 05:10:26.000000,2023-07-02 18:02:16,1462.0,,45.0,15.0,182.0,21.0,64.0,241.0,Python Implementation and Extension of RDF2Vec.,7.0,21,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,43.0,41.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,2.0,375.0,375.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,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,,475.0,85.0,180.0,108.0,161.0,3575.0,A high performance and generic framework for distributed DNN training.,21.0,20,False,2020-08-27 15:42:13.000,0.2.4,8.0,byteps,,bytepsimage/tensorflow,,,,,https://pypi.org/project/byteps,2021-08-02 17:37:42.000,,50.0,72.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1333.0,3.0,,,,,,,,,,,,,,,,,,,, +721,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,,357.0,99.0,16.0,53.0,17.0,3391.0,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",15.0,20,True,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,152.0,145.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,861.0,861.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +722,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,,318.0,59.0,242.0,174.0,111.0,3111.0,LightSeq: A High Performance Library for Sequence Processing and Generation.,20.0,20,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,2.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,2.0,3173.0,3185.0,,,,,,,,3.0,677.0,,,,,,,,,,,,,,,,,,, +723,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,,170.0,65.0,54.0,6.0,44.0,3079.0,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",20.0,20,False,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,,225.0,225.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +724,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2024-04-02 17:52:52.000000,2021-06-15 18:41:51,22.0,,268.0,31.0,22.0,27.0,37.0,3047.0,A small package to create visualizations of PyTorch execution graphs.,6.0,20,False,,,,,,,,,1841.0,1841.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +725,image-match,ProvenanceLabs/image-match,image,,https://github.com/rhsimplex/image-match,https://github.com/rhsimplex/image-match,Apache-2.0,2016-03-08 18:16:45.000,2022-12-06 11:29:04.000000,2022-12-06 11:29:04,406.0,,398.0,101.0,54.0,64.0,48.0,2918.0,Quickly search over billions of images.,20.0,20,False,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,2.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,2.0,1271.0,1271.0,,,,,,,,3.0,,,,rhsimplex/image-match,,,,,,,,,,,,,,,, +726,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-10-23 17:15:34.000000,2022-07-20 20:54:36,1904.0,,332.0,101.0,1000.0,94.0,263.0,2826.0,"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,,,,,,,,,,,,,,,,,,,, +727,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2023-06-14 23:22:41.000000,2020-04-02 01:05:35,46.0,,827.0,85.0,30.0,45.0,80.0,2650.0,DeepWalk - Deep Learning for Graphs.,10.0,20,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,69.0,69.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,,638.0,638.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,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,,455.0,127.0,225.0,87.0,183.0,2312.0,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,38.0,20,False,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 14:17:10.000,2.0,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +729,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,,178.0,55.0,895.0,129.0,586.0,1908.0,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",50.0,20,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,18.0,https://anaconda.org/blazingsql/blazingsql-protocol,2023-06-16 16:17:31.557,1020.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +730,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,,157.0,46.0,3.0,13.0,15.0,1533.0,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,20,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],27.0,27.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,2331.0,2331.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +731,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2024-05-08 15:24:36.000000,2024-02-25 11:49:35,1255.0,2.0,124.0,31.0,164.0,71.0,142.0,1512.0,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",24.0,20,True,2024-01-20 15:39:17.000,0.9.0,14.0,kp,,,,,,,https://pypi.org/project/kp,2024-01-20 15:33:09.000,,135.0,146.0,,,,,,,,3.0,499.0,,,,,,,,,,,,,,,,,,, +732,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,,356.0,61.0,47.0,37.0,72.0,1478.0,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,20,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],38.0,32.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,6.0,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,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,,405.0,102.0,36.0,13.0,24.0,1421.0,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,,140.0,140.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,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,,101.0,40.0,13.0,14.0,9.0,1268.0,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,,,,,145.0,143.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,2.0,3110.0,3110.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2024-01-14 08:39:28.000000,2020-04-17 02:27:44,79.0,,142.0,25.0,76.0,49.0,36.0,1031.0,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,,,,5.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,5.0,252619.0,252780.0,https://anaconda.org/conda-forge/adtk,2023-06-16 19:18:16.533,8073.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,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,,184.0,52.0,12.0,16.0,42.0,1005.0,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'],84.0,80.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,142.0,142.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,nude.py,hhatto/nude.py,image,,https://github.com/hhatto/nude.py,https://github.com/hhatto/nude.py,MIT,2013-06-09 06:55:55.000,2020-11-23 13:49:32.000000,2020-11-23 13:49:02,79.0,,132.0,36.0,16.0,8.0,4.0,925.0,Nudity detection with Python.,12.0,20,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3629.0,3624.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,5.0,620.0,620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,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,,129.0,18.0,24.0,28.0,39.0,826.0,python partial dependence plot toolbox.,7.0,20,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 16:21:17.000,26.0,22550.0,22902.0,https://anaconda.org/conda-forge/pdpbox,2023-06-10 14:57:37.569,20451.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2024-02-10 07:16:54.000000,2021-07-30 15:06:27,104.0,,126.0,30.0,29.0,21.0,34.0,763.0,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'],44.0,44.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,,564.0,564.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +740,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,,148.0,36.0,33.0,25.0,39.0,758.0,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",20.0,20,False,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,106.0,106.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,,838.0,838.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,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,,158.0,79.0,98.0,51.0,43.0,751.0,[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 14:20:28.000,1.0,10632.0,10632.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +742,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 15:23:32.000,2024-05-05 11:51:57.000000,2024-05-05 11:51:05,300.0,5.0,108.0,17.0,25.0,1.0,87.0,680.0,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",13.0,20,True,2024-05-05 11:51:57.000,0.0.92,39.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2024-05-05 11:51:57.000,,9172.0,9172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2024-04-03 18:32:28.000000,2021-09-16 17:56:31,171.0,,144.0,34.0,82.0,16.0,55.0,619.0,Code for the TCAV ML interpretability project.,19.0,20,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],23.0,20.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,538.0,538.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +744,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,,105.0,23.0,25.0,43.0,61.0,608.0,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'],172.0,170.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,1568.0,1680.0,https://anaconda.org/conda-forge/detecto,2023-06-16 19:26:16.964,3946.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +745,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,,104.0,10.0,14.0,5.0,16.0,575.0,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,,,,368.0,362.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,6.0,7749.0,7933.0,https://anaconda.org/conda-forge/pywaffle,2023-06-16 16:12:33.889,11967.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2024-01-11 20:34:53.000000,2023-10-04 12:31:54,297.0,,97.0,15.0,53.0,13.0,15.0,559.0,A library of metrics for evaluating recommender systems.,20.0,20,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,52.0,52.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,18757.0,18757.0,,,,,,,,3.0,6.0,,,,,,,,,,,,,,,,,,, +747,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,,167.0,56.0,20.0,39.0,60.0,545.0,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,29.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,1.0,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-11-11 03:23:44.000000,2023-11-11 03:23:44,413.0,,57.0,60.0,9.0,25.0,25.0,533.0,Python library assists deep learning on graphs.,18.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,101.0,99.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,2.0,333.0,333.0,,,,,,,,3.0,10.0,,,,,,,,,,,,,,,,,,, +749,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 21:00:31.000,2024-03-30 13:25:33.000000,2024-03-30 13:25:33,69.0,5.0,51.0,18.0,9.0,12.0,10.0,496.0,Topological Data Analysis for Python.,6.0,20,True,2024-03-17 19:09:40.000,1.1.0,5.0,scikit-tda,,,,['sklearn'],55.0,55.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,3150.0,3150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +750,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2023-11-17 16:30:15.000000,2021-11-18 21:06:54,172.0,,46.0,9.0,9.0,11.0,21.0,490.0,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,20,False,2023-11-17 16:33:58.000,0.6.1,14.0,apricot-select,,,,,121.0,113.0,https://pypi.org/project/apricot-select,2021-02-18 06:55:02.000,8.0,6332.0,6332.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,, +751,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2024-02-04 00:13:12.000000,2023-07-18 10:24:07,542.0,,35.0,14.0,223.0,15.0,40.0,487.0,Monitor the stability of a Pandas or Spark dataframe.,17.0,20,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 10:32:00.587,2.0,14857.0,14860.0,,,,,,,,3.0,149.0,,,,,,,,,,,,,,,,,,, +752,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2024-02-24 12:21:01.000000,2023-08-12 16:28:59,266.0,,108.0,20.0,57.0,26.0,21.0,485.0,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,7.0,20,True,2023-04-30 02:25:49.592,0.4.4,8.0,rrcf,,,,,69.0,61.0,https://pypi.org/project/rrcf,2023-04-30 02:25:49.592,8.0,2445.0,2445.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-12-26 14:50:12.000000,2023-12-26 14:50:08,383.0,,100.0,18.0,9.0,6.0,41.0,445.0,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4.5, CART, CHAID and Regression Trees; some..",7.0,20,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,53.0,53.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,2914.0,2914.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +754,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,,83.0,20.0,247.0,10.0,23.0,404.0,A toolkit that streamlines and automates the generation of model cards.,22.0,20,True,2023-04-03 18:05:05.715,2.0.0,12.0,model-card-toolkit,,,,,24.0,23.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,1.0,1450.0,1450.0,,,,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +755,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2024-05-15 11:09:46.000000,2024-05-15 11:06:29,819.0,6.0,25.0,7.0,76.0,30.0,22.0,371.0,Flexible time series feature extraction & processing.,6.0,20,True,2024-04-04 10:31:07.000,0.4.0,37.0,tsflex,conda-forge/tsflex,,,,14.0,13.0,https://pypi.org/project/tsflex,2024-04-04 10:23:01.000,1.0,396.0,1032.0,https://anaconda.org/conda-forge/tsflex,2024-04-08 09:54:58.786,21626.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2024-04-26 21:27:16.000000,2024-04-26 20:31:49,327.0,8.0,77.0,25.0,345.0,26.0,9.0,333.0,Tensorflows Fairness Evaluation and Visualization Toolkit.,36.0,20,True,2024-04-26 21:27:16.000,0.46.0,31.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2024-04-26 21:27:16.000,,1179.0,1179.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +757,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2024-03-27 12:25:36.647000,2024-03-27 08:46:27,190.0,11.0,41.0,19.0,3.0,10.0,8.0,282.0,Analyze Data with Pandas-based Networks. Documentation:.,3.0,20,False,2024-03-27 10:16:33.000,0.2.4,14.0,deepgraph,conda-forge/deepgraph,,,['pandas'],9.0,9.0,https://pypi.org/project/deepgraph,2024-03-27 10:16:33.000,,577.0,4843.0,https://anaconda.org/conda-forge/deepgraph,2024-03-27 12:25:36.647,183453.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +758,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2024-05-17 19:12:15.000000,2024-05-16 21:59:57,520.0,27.0,57.0,14.0,85.0,13.0,35.0,249.0,Represent trained machine learning models as Pyomo optimization formulations.,17.0,20,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,17044.0,17044.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2024-02-10 16:41:21.000000,2024-02-10 16:41:20,438.0,,192.0,61.0,7.0,13.0,29.0,1072.0,Python AutoML for Trading Systems and Sports Betting.,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,,185.0,185.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,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,,139.0,17.0,11.0,41.0,43.0,1059.0,"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'],134.0,129.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,3692.0,3692.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +761,pytorch2keras,gmalivenko/pytorch2keras,model-serialisation,,https://github.com/gmalivenko/pytorch2keras,https://github.com/gmalivenko/pytorch2keras,MIT,2017-11-16 20:21:43.000,2022-12-08 11:42:52.000000,2021-08-06 08:18:46,282.0,,143.0,14.0,24.0,58.0,69.0,851.0,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,99.0,98.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,345.0,345.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,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,,227.0,30.0,38.0,41.0,21.0,838.0,An open source python library for scalable Bayesian optimisation.,13.0,19,False,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,,3336.0,3336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +763,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2024-01-16 09:19:50.000000,2024-01-16 09:12:58,32.0,,81.0,14.0,35.0,3.0,23.0,805.0,Leave One Feature Out Importance.,6.0,19,True,2024-01-16 09:19:50.000,0.3.4,14.0,lofo-importance,,,,,32.0,28.0,https://pypi.org/project/lofo-importance,2024-01-16 09:19:50.000,4.0,4079.0,4079.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,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,,69.0,23.0,47.0,16.0,17.0,793.0,EvoJAX: Hardware-accelerated Neuroevolution.,14.0,19,True,2023-08-29 06:52:02.000,0.2.16,22.0,evojax,conda-forge/evojax,,,['jax'],26.0,21.0,https://pypi.org/project/evojax,2023-08-29 06:52:02.000,5.0,951.0,1848.0,https://anaconda.org/conda-forge/evojax,2023-08-29 10:08:55.843,24230.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +765,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,,102.0,26.0,48.0,19.0,35.0,729.0,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,,,,,28.0,26.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,2.0,334.0,334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,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,,75.0,39.0,17.0,13.0,22.0,564.0,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,,,,,35.0,31.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,4.0,279.0,279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,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,,63.0,17.0,111.0,8.0,48.0,560.0,A simplified framework and utilities for PyTorch.,20.0,19,False,2023-07-09 16:15:44.000,1.17.1,37.0,poutyne,,,,['pytorch'],140.0,135.0,https://pypi.org/project/poutyne,2022-04-28 20:18:33.000,5.0,3833.0,3833.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2024-02-21 14:38:09.000000,2024-02-21 14:09:04,30.0,,68.0,7.0,5.0,4.0,29.0,538.0,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,3.0,19,True,2024-02-21 14:38:09.000,0.2.7,10.0,shap-hypetune,,,,,17.0,15.0,https://pypi.org/project/shap-hypetune,2024-02-21 14:34:22.000,2.0,1295.0,1295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,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,,139.0,58.0,72.0,18.0,71.0,523.0,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",17.0,19,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,19.0,19.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,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,,97.0,28.0,21.0,37.0,12.0,467.0,A python library for Bayesian time series modeling.,6.0,19,True,2023-05-07 06:30:08.000,0.1.1.12,14.0,pydlm,,,,,35.0,33.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,21486.0,21486.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +771,elegy,poets-ai/elegy,ml-frameworks,,https://github.com/poets-ai/elegy,https://github.com/poets-ai/elegy,MIT,2020-06-30 14:00:37.000,2022-12-15 19:23:10.000000,2022-05-23 17:26:29,339.0,,32.0,16.0,148.0,39.0,66.0,466.0,A High Level API for Deep Learning in JAX.,18.0,19,False,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",48.0,48.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,335.0,335.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-11-25 01:31:29.000000,2020-05-11 14:32:38,782.0,,79.0,24.0,12.0,48.0,49.0,414.0,optimization routines for hyperparameter tuning.,9.0,19,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,3.0,,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,3.0,4223.0,4223.0,,,,,,,,3.0,93.0,-2.0,,,,,,,,,,,,,,,,,, +773,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,,70.0,24.0,48.0,15.0,19.0,400.0,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",14.0,19,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],28.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,28.0,4587.0,5019.0,https://anaconda.org/conda-forge/skrebate,2023-06-16 16:08:23.527,32869.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +774,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-11-09 23:19:49.000000,2023-11-09 23:18:48,634.0,,43.0,13.0,63.0,4.0,56.0,319.0,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,19,True,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],33.0,31.0,https://pypi.org/project/ivis,2022-03-10 14:57:02.000,2.0,1510.0,1510.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,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,,27.0,22.0,239.0,24.0,25.0,299.0,Textpipe: clean and extract metadata from text.,29.0,19,False,2021-01-25 14:05:21.000,0.12.2,39.0,textpipe,,,,,9.0,8.0,https://pypi.org/project/textpipe,2021-01-25 14:05:21.000,1.0,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,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,,20.0,18.0,464.0,90.0,76.0,234.0,Functional tensors for probabilistic programming.,11.0,19,False,2023-08-31 18:37:22.000,0.4.6,12.0,funsor,,,,['pytorch'],77.0,67.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,10.0,4483.0,4483.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,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,,31.0,9.0,4.0,20.0,29.0,227.0,Yet another Python binding for fastText.,4.0,19,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,428.0,426.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,2.0,1038.0,1042.0,,,,,,,,3.0,380.0,,,,,,,,,,,,,,,,,,, +778,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,,23.0,8.0,11.0,5.0,9.0,210.0,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,2023-05-01 07:55:52.405,0.2.3,11.0,numerizer,,,,,81.0,79.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,2.0,23578.0,23578.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +779,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2024-04-24 21:09:41.000000,2024-04-24 21:09:38,861.0,3.0,17.0,8.0,182.0,11.0,23.0,151.0,Toolkit for developing and maintaining ML models.,14.0,19,False,2024-02-02 14:57:28.000,0.1.2,35.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2024-02-02 14:55:53.000,,8974.0,8974.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +780,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,,765.0,339.0,58.0,2.0,,6695.0,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,,94.0,101.0,,,,,,,,3.0,341.0,,,,,,,,,,,,,,,,,,, +781,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,,891.0,111.0,51.0,46.0,160.0,6232.0,Model parallel transformers in JAX and Haiku.,23.0,18,False,,,,,,,,['jax'],20.0,20.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +782,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2024-05-22 12:09:32.000000,2024-05-22 12:09:27,693.0,33.0,403.0,39.0,836.0,149.0,115.0,3046.0,Scenic: A Jax Library for Computer Vision Research and Beyond.,81.0,18,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +783,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,,412.0,106.0,83.0,67.0,48.0,2945.0,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,102.0,https://anaconda.org/maciejkula/spotlight,2023-06-16 13:22:46.522,8543.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +784,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,,71.0,25.0,1004.0,127.0,65.0,1641.0,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 21:51:16.000,1.0,688.0,688.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-11-10 05:37:18.000000,2023-03-14 23:02:49,75.0,,175.0,22.0,20.0,16.0,30.0,1614.0,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,False,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,5.0,5.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,120.0,120.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,, +786,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,,254.0,56.0,65.0,8.0,31.0,1370.0,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,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,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,,156.0,44.0,5.0,4.0,7.0,1066.0,XAI - An eXplainability toolbox for machine learning.,3.0,18,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,27.0,27.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,,348.0,348.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +788,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2024-01-11 13:06:10.000000,2022-02-14 20:43:06,145.0,,176.0,18.0,42.0,22.0,59.0,893.0,"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,,,,177.0,174.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,3.0,381.0,573.0,https://anaconda.org/conda-forge/robustness,2023-06-16 19:21:11.893,8651.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +789,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,,188.0,33.0,15.0,18.0,22.0,783.0,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 20:35:57.000,1.0,109.0,109.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +790,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,,57.0,15.0,10.0,25.0,17.0,756.0,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,18,False,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,48.0,48.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,2646.0,2646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,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,,65.0,17.0,21.0,29.0,50.0,674.0,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,18,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,,158.0,158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +792,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,,29.0,18.0,42.0,6.0,18.0,592.0,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,,,,12.0,11.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,263.0,48175.0,https://anaconda.org/conda-forge/cython-blis,2023-10-01 08:59:57.840,2108158.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,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,,68.0,13.0,10.0,23.0,41.0,542.0,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,False,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,49.0,49.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,965.0,965.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +794,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2024-01-10 20:36:33.000000,2021-11-25 23:08:43,204.0,,92.0,24.0,19.0,5.0,20.0,458.0,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,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2024-02-08 01:27:56.000000,2023-01-13 21:57:34,832.0,,55.0,,,,,431.0,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,18,False,2024-02-08 01:27:56.000,0.12.1,49.0,sklearn-evaluation,,,,['sklearn'],3.0,,https://pypi.org/project/sklearn-evaluation,2024-02-08 01:27:56.000,3.0,2778.0,2778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2024-05-22 17:14:10.000000,2024-01-10 08:10:55,2818.0,,63.0,11.0,255.0,9.0,109.0,427.0,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,22.0,18,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,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-11-07 11:11:44.000000,2023-11-07 11:10:46,137.0,,105.0,72.0,7.0,15.0,19.0,423.0,semantic similarity framework for knowledge graph.,10.0,18,True,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,46.0,46.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,,332.0,332.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +798,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,,38.0,10.0,29.0,17.0,17.0,405.0,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,,,,62.0,58.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,4.0,183.0,393.0,https://anaconda.org/conda-forge/animatplot,2023-06-16 16:14:07.121,13280.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2024-03-18 12:01:04.000000,2024-03-18 12:01:00,5152.0,1.0,38.0,12.0,1.0,2.0,80.0,400.0,Deep Learning PyTorch.,1.0,18,True,2024-01-09 05:17:07.000,0.5.0,103.0,carefree-learn,,,,['pytorch'],5.0,5.0,https://pypi.org/project/carefree-learn,2024-01-09 05:17:07.000,,296.0,296.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2024-02-20 11:57:52.000000,2023-11-17 08:50:12,72.0,,61.0,8.0,12.0,11.0,18.0,380.0,TextAugment: Text Augmentation Library.,8.0,18,True,2023-11-16 20:54:10.000,2.0.0,9.0,textaugment,,,,,98.0,94.0,https://pypi.org/project/textaugment,2023-11-16 20:49:04.000,4.0,4562.0,4563.0,,,,,,,,3.0,69.0,,,,,,,,,,,,,,,,,,, +801,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2023-03-07 22:10:10.175000,2021-08-18 06:06:51,1404.0,,17.0,6.0,217.0,4.0,26.0,340.0,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2023-03-07 22:10:10.175,0.8.9,49.0,camphr,,,,['spacy'],15.0,13.0,https://pypi.org/project/camphr,2023-03-07 22:10:10.175,2.0,250.0,250.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,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,,52.0,11.0,60.0,17.0,41.0,329.0,"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,,,,,40.0,36.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,4.0,202.0,202.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2024-04-30 19:01:14.000000,2023-11-27 22:11:53,398.0,,129.0,34.0,323.0,81.0,130.0,324.0,Brain Imaging Analysis Kit.,35.0,18,True,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,,,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,,104.0,122.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,1829.0,3.0,,,,,,,,,,,,,,,,,,,, +804,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,,79.0,19.0,93.0,30.0,18.0,314.0,"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 01:35:23.000,11.0,2183.0,2183.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,, +805,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2024-05-19 13:43:01.000000,2023-03-28 03:38:13,1094.0,,70.0,28.0,58.0,30.0,32.0,291.0,Distributed and decentralized training framework for PyTorch over graph.,9.0,18,False,2021-05-15 01:39:45.000,0.3.0,10.0,bluefog,,,,['pytorch'],3.0,3.0,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,45.0,48.0,,,,,,,,3.0,174.0,,,,,,,,,,,,,,,,,,, +806,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,,19.0,6.0,31.0,20.0,39.0,262.0,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,55.0,52.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,555.0,555.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,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 15:02:43.000,2024-03-21 11:20:10.000000,2024-03-21 11:20:09,585.0,1.0,33.0,24.0,638.0,21.0,128.0,239.0,Highly optimized inference engine for Binarized Neural Networks.,18.0,18,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,,1010.0,1030.0,,,,,,,,3.0,1023.0,,,,,,,,,,,,,,,,,,, +808,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2024-03-20 15:29:38.000000,2023-06-15 16:53:55,703.0,,43.0,11.0,60.0,31.0,47.0,235.0,Scikit-learn compatible estimation of general graphical models.,7.0,18,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],18.0,14.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,4.0,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,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,,57.0,5.0,2.0,2.0,1.0,130.0,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,,,,9278.0,9092.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,186.0,357724.0,357758.0,https://anaconda.org/anaconda/nvidia-ml,2023-06-16 19:26:58.970,1171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +810,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,,1346.0,467.0,21.0,58.0,167.0,7036.0,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,,,,,,,,,,,,,,,, +811,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2024-01-10 11:52:49.000000,2024-01-10 11:52:48,177.0,,1055.0,119.0,24.0,17.0,352.0,4261.0,An Open-Source Package for Neural Relation Extraction (NRE).,13.0,17,True,,,,,,,,,3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2024-03-14 09:28:18.000000,2022-06-21 18:24:09,30.0,,988.0,63.0,13.0,44.0,25.0,3605.0,Implementation and experiments of graph embedding algorithms.,9.0,17,False,,,,,,,,['sklearn'],32.0,32.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,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,,462.0,79.0,36.0,83.0,68.0,1680.0,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,,118.0,118.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,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,,255.0,52.0,13.0,20.0,13.0,1540.0,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,,65.0,86.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1688.0,3.0,,,,,,,,,,,,,,,,,,,, +815,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,,109.0,57.0,34.0,22.0,13.0,1267.0,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,17,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 00:49:41.000,1.0,200.0,200.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +816,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,,144.0,17.0,11.0,25.0,18.0,1157.0,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,False,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],56.0,54.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,377.0,377.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,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,,93.0,34.0,72.0,31.0,30.0,1096.0,"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'],2.0,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,2.0,8056.0,8056.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +818,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,,111.0,19.0,58.0,2.0,13.0,750.0,"A lightweight Computer Vision library. Scale your models, not boilerplate.",8.0,17,False,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 21:04:12.000,2.0,4275.0,4275.0,,,,,,,,3.0,30.0,,,,,,,,,,,,,,,,,,, +819,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,,36.0,12.0,13.0,8.0,16.0,750.0,"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'],36.0,36.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2515.0,2612.0,https://anaconda.org/conda-forge/tensor-sensor,2023-06-16 19:27:38.210,3008.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +820,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2024-01-29 12:26:32.000000,2024-01-29 12:26:25,611.0,,87.0,25.0,4.0,39.0,42.0,688.0,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,12.0,17,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,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-12-21 13:50:16.000000,2023-12-21 13:50:13,819.0,,41.0,15.0,18.0,,20.0,595.0,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,17,True,2023-09-22 14:58:06.000,3.1.3,27.0,opytimizer,,,,,16.0,16.0,https://pypi.org/project/opytimizer,2022-05-04 20:51:15.000,,199.0,199.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2024-05-19 15:53:53.000000,2024-05-08 20:14:15,683.0,2.0,71.0,30.0,80.0,15.0,25.0,399.0,A Python implementation of active inference for Markov Decision Processes.,15.0,17,True,2023-03-25 17:58:52.000,0.0.7.1,8.0,inferactively-pymdp,,,,,9.0,9.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,380.0,380.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +823,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2024-03-01 15:54:36.000000,2024-01-15 19:35:42,191.0,,53.0,10.0,17.0,10.0,29.0,394.0,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,5.0,17,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,1361.0,1361.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +824,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,,30.0,11.0,121.0,31.0,150.0,345.0,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,,49.0,49.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2024-05-17 15:10:11.000000,2024-05-17 15:10:11,420.0,2.0,76.0,22.0,433.0,27.0,51.0,268.0,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,31.0,17,False,2023-10-25 10:51:36.000,0.2.1,23.0,pipeline-dp,,,,,2.0,2.0,https://pypi.org/project/pipeline-dp,2023-11-22 19:01:05.000,,115.0,115.0,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,, +826,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,,33.0,14.0,36.0,8.0,44.0,229.0,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,27.0,25.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,82.0,82.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +827,chitra,gradsflow/chitra,ml-experiments,,https://github.com/aniketmaurya/chitra,https://github.com/aniketmaurya/chitra,Apache-2.0,2020-01-23 14:17:54.000,2024-04-01 22:09:11.000000,2024-03-02 11:17:16,371.0,1.0,38.0,6.0,133.0,,35.0,224.0,"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,2022-01-09 08:50:45.005,1.0,1663.0,1772.0,https://anaconda.org/conda-forge/chitra,2023-06-18 08:40:33.534,3058.0,,,,,3.0,,,,aniketmaurya/chitra,,,,,,,,,,,,,,,, +828,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2023-12-15 03:22:24.000000,2023-12-15 03:22:22,207.0,,12.0,8.0,2.0,,5.0,193.0,"Automatic GPU+CPU memory profiling, re-use and memory leaks detection using jupyter/ipython experiment containers.",3.0,17,False,2023-12-15 03:21:06.000,0.1.29,25.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2023-12-15 03:21:06.000,2.0,240.0,240.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +829,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,,531.0,176.0,110.0,56.0,149.0,3921.0,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +830,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,,167.0,61.0,10.0,26.0,6.0,1842.0,"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,,36.0,36.0,,,,,,,,3.0,41.0,,,,,,,,,,,,,,,,,,, +831,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,,109.0,20.0,37.0,20.0,8.0,1040.0,Distributed Computing for AI Made Simple.,5.0,16,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,71.0,70.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +832,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2024-04-26 17:46:05.000000,2021-04-16 18:50:54,57.0,,121.0,50.0,22.0,15.0,9.0,835.0,A medical imaging framework for Pytorch.,8.0,16,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],16.0,16.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +833,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,,57.0,18.0,7.0,,10.0,797.0,MADGRAD Optimization Method.,2.0,16,False,,,4.0,madgrad,,,,['pytorch'],80.0,79.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,1.0,5143.0,5143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,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,,113.0,27.0,10.0,25.0,51.0,786.0,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 22:52:00.000,2.0,1633.0,1633.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +835,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,,87.0,16.0,15.0,10.0,22.0,722.0,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,True,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],17.0,17.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,302.0,302.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,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,,124.0,42.0,435.0,25.0,130.0,707.0,GPU accelerated signal processing.,46.0,16,True,2023-08-09 16:45:21.000,23.08.00,21.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +837,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,,100.0,24.0,101.0,37.0,84.0,702.0,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 02:21:57.000,1.0,130.0,136.0,,,,,,,,3.0,420.0,,,,,,,,,,,,,,,,,,, +838,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,,92.0,18.0,19.0,3.0,29.0,630.0,Unified Multilingual Robustness Evaluation Toolkit for Natural Language Processing.,18.0,16,False,2022-03-15 07:18:47.000,0.1.0,6.0,textflint,,,,,15.0,15.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,73.0,73.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +839,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2023-11-18 17:08:08.000000,2023-11-18 17:08:08,508.0,,98.0,38.0,106.0,12.0,51.0,552.0,TypeDB-ML is the Machine Learning integrations library for TypeDB.,12.0,16,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,,111.0,114.0,,,,,,,,3.0,225.0,,,vaticle/typedb-ml,,,,,,,,,,,,,,,, +840,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2024-03-18 22:30:20.000000,2024-03-18 22:30:15,140.0,3.0,42.0,21.0,169.0,5.0,64.0,467.0,A collection of tools for neural compression enthusiasts.,10.0,16,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,,96.0,96.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +841,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,,84.0,36.0,47.0,5.0,12.0,407.0,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,16,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 06:52:11.000,1.0,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +842,Pywick,achaiah/pywick,pytorch-utils,,https://github.com/achaiah/pywick,https://github.com/achaiah/pywick,MIT,2019-03-25 15:42:47.000,2022-02-04 15:57:11.000000,2021-10-22 03:09:17,149.0,,38.0,15.0,39.0,2.0,13.0,395.0,High-level batteries-included neural network training library for Pytorch.,4.0,16,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],10.0,10.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,86.0,86.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,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,,32.0,23.0,21.0,17.0,10.0,345.0,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,87.0,87.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,,60.0,60.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,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,,52.0,25.0,19.0,15.0,17.0,325.0,Logging MXNet data for visualization in TensorBoard.,9.0,16,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],,,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,,2448.0,2448.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,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,,24.0,11.0,8.0,1.0,10.0,235.0,scikit-learn wrappers for Python fastText.,9.0,16,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],14.0,14.0,https://pypi.org/project/skift,2018-03-15 09:05:47.000,,707.0,707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2024-02-13 04:16:38.000000,2020-04-04 19:26:37,127.0,,29.0,5.0,5.0,6.0,5.0,199.0,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],27.0,27.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,2912.0,2912.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,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,,43.0,1.0,,,,196.0,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,,991.0,991.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2024-04-08 15:16:55.000000,2024-04-08 15:03:47,262.0,2.0,31.0,11.0,199.0,21.0,75.0,194.0,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",12.0,16,False,2023-07-26 15:36:39.000,0.7.3,15.0,celer,,,,['sklearn'],1.0,,https://pypi.org/project/celer,2023-07-26 15:36:39.000,1.0,611.0,611.0,,,,,,,,3.0,,-2.0,,,,,,,,,,,,,,,,,, +849,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,,32.0,13.0,54.0,16.0,50.0,134.0,"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,,,,,57.0,52.0,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,CometML,comet-ml/examples,ml-experiments,,,https://www.comet.com,MIT,,2024-05-22 10:04:57.000000,,,,,,,,,,Supercharging Machine Learning.,,16,True,2024-05-22 10:04:57.000,3.42.1,286.0,comet_ml,comet_ml,,,,68.0,,https://pypi.org/project/comet_ml,2024-05-22 10:04:57.000,68.0,657399.0,657399.0,https://anaconda.org/anaconda/comet_ml,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,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,,560.0,140.0,28.0,217.0,102.0,2876.0,A distributed graph deep learning framework.,5.0,15,False,2020-07-07 02:24:18.000,2.0.0,2.0,euler-gl,,,,['tensorflow'],,,https://pypi.org/project/euler-gl,2019-04-10 01:53:45.000,,6.0,6.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,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,,423.0,144.0,72.0,12.0,53.0,2199.0,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,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 12:34:57.000,2024-04-03 18:25:21.000000,2022-04-04 08:29:54,41.0,,294.0,54.0,22.0,42.0,85.0,1272.0,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,15,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,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,,230.0,39.0,40.0,73.0,34.0,1140.0,Entity Linker solution.,16.0,15,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +855,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2024-02-27 22:17:46.000000,2024-02-05 15:11:35,743.0,,118.0,28.0,111.0,14.0,25.0,1071.0,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,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +856,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,,116.0,19.0,295.0,3.0,69.0,1057.0,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,,,,,6.0,6.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,2.0,2.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,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,,203.0,42.0,667.0,28.0,27.0,817.0,Translate - a PyTorch Language Library.,88.0,15,False,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,10.0,10.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,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,,39.0,24.0,4.0,4.0,2.0,677.0,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 05:27:17.000,2.0,92.0,92.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,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,,56.0,16.0,83.0,18.0,49.0,575.0,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,15,False,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,,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,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,,88.0,21.0,18.0,22.0,2.0,510.0,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,15,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,11.0,11.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,205.0,205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2024-05-16 17:54:39.000000,2024-01-25 16:57:26,261.0,,67.0,19.0,100.0,19.0,15.0,488.0,"Research workflows made easy, locally and in the Cloud.",10.0,15,True,2023-06-16 17:26:21.434,0.4.2,11.0,caliban,,,,,,,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,103.0,103.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2024-04-21 03:30:12.000000,2024-04-21 03:30:09,79.0,3.0,61.0,16.0,64.0,6.0,9.0,438.0,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",4.0,15,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,9.0,9.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,100.0,100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2023-06-16 19:21:01.312000,2018-08-29 15:31:30,15.0,,56.0,18.0,6.0,6.0,,392.0,Tool to generate adversarial text examples and test machine learning models against them.,5.0,15,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,10.0,9.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,36.0,170.0,https://anaconda.org/conda-forge/artificial-adversary,2023-06-16 19:21:01.312,6204.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2024-02-25 19:50:49.000000,2024-02-25 19:50:49,174.0,2.0,38.0,22.0,5.0,11.0,23.0,352.0,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,15,True,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,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,,15.0,11.0,6.0,9.0,6.0,307.0,Drift Detection for your PyTorch Models.,4.0,15,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],26.0,26.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,188.0,188.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,data-describe,data-describe/data-describe,data-viz,,https://github.com/data-describe/data-describe,https://github.com/data-describe/data-describe,Apache-2.0,2020-05-04 17:58:14.000,2023-02-22 05:20:46.000000,2021-11-19 06:05:15,700.0,,19.0,13.0,271.0,70.0,175.0,295.0,datadescribe: Pythonic EDA Accelerator for Data Science.,13.0,15,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,703.0,703.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,nanodl,HMUNACHI/nanodl,ml-frameworks,,https://github.com/HMUNACHI/nanodl,https://github.com/HMUNACHI/nanodl,MIT,2023-08-22 13:22:24.000,2024-05-12 20:02:22.000000,2024-05-12 19:43:50,153.0,45.0,11.0,8.0,15.0,2.0,7.0,261.0,A Jax-based library for designing and training transformer models from scratch.,3.0,15,False,,,6.0,nanodl,,,,['jax'],,,https://pypi.org/project/nanodl,2024-05-12 20:02:22.000,,108.0,108.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,Headliner,as-ideas/headliner,nlp,,https://github.com/as-ideas/headliner,https://github.com/as-ideas/headliner,MIT,2019-09-30 11:33:28.000,2021-03-26 07:19:57.000000,2020-02-14 09:03:27,276.0,,41.0,16.0,7.0,2.0,13.0,229.0,Easy training and deployment of seq2seq models.,2.0,15,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,6.0,5.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,247.0,247.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,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,,27.0,10.0,15.0,6.0,4.0,222.0,Draw interactive NetworkX graphs with Altair.,3.0,15,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],9.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,9.0,920.0,920.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +870,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,,19.0,5.0,2.0,17.0,23.0,188.0,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,15,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],12.0,12.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,590.0,590.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2024-01-09 19:00:03.000000,2024-01-09 18:05:38,305.0,,9.0,5.0,3.0,1.0,,129.0,Data Analysis Baseline Library.,24.0,15,False,2023-02-28 01:21:03.335,0.2.5,17.0,dabl,,,,['sklearn'],1.0,,https://pypi.org/project/dabl,2024-01-09 18:32:27.000,1.0,5411.0,5411.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2024-02-21 16:29:12.000000,2023-03-31 15:44:32,231.0,,20.0,32.0,53.0,7.0,7.0,105.0,"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'],41.0,41.0,https://pypi.org/project/collie,2022-01-18 23:07:16.000,,120.0,120.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,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,,827.0,78.0,34.0,116.0,59.0,3321.0,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +874,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2024-01-10 11:53:25.000000,2024-01-10 11:53:25,104.0,,488.0,67.0,26.0,10.0,97.0,1678.0,An Open-Source Package for Network Embedding (NE).,12.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,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,,149.0,32.0,,53.0,59.0,1194.0,GraphVite: A General and High-performance Graph Embedding System.,1.0,14,False,,,4.0,,milagraph/graphvite,,,,,,,,,,82.0,https://anaconda.org/milagraph/graphvite,2023-06-16 16:16:18.265,4702.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2023-09-18 15:13:22.392000,,,,182.0,,,72.0,,1067.0,Python Library for Model Interpretation/Explanations.,7.0,14,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,1.0,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,1.0,425.0,1868.0,https://anaconda.org/conda-forge/skater,2023-09-18 15:13:22.392,66382.0,,,,,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 00:41:06.000,2024-03-26 16:48:56.000000,2024-01-29 19:20:57,64.0,,43.0,11.0,9.0,4.0,12.0,705.0,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,14,True,,,,rliable`,,,,,134.0,134.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2024-02-05 16:37:11.000000,2024-02-05 16:37:10,152.0,,67.0,19.0,177.0,87.0,16.0,403.0,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,18.0,14,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,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,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,,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,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,,37.0,11.0,8.0,10.0,3.0,341.0,A Python package for time series augmentation.,4.0,14,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,2.0,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,2.0,1300.0,1300.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +881,backprop,backprop-ai/backprop,model-serialisation,,https://github.com/backprop-ai/backprop,https://github.com/backprop-ai/backprop,Apache-2.0,2020-10-30 15:25:14.000,2021-05-03 09:15:25.000000,2021-05-03 09:15:21,219.0,,12.0,16.0,14.0,5.0,4.0,242.0,"Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.",8.0,14,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,,270.0,270.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,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,,32.0,8.0,72.0,31.0,8.0,233.0,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,,52.0,52.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +883,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,,2017-10-08 11:20:23.000,2024-01-10 11:51:05.000000,2024-01-10 11:51:05,143.0,,984.0,102.0,28.0,28.0,356.0,3730.0,An Open-Source Package for Knowledge Embedding (KE).,14.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,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,,486.0,109.0,12.0,39.0,8.0,2689.0,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +885,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,,82.0,50.0,4.0,3.0,,2483.0,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'],1.0,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,1.0,1675.0,1677.0,,,,,,,,3.0,59.0,,,,,,,,,,,,,,,,,,, +886,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,,178.0,38.0,10.0,13.0,3.0,1346.0,A web app to generate template code for machine learning.,3.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,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 19:00:02.000000,2020-05-28 17:31:53,465.0,,17.0,11.0,57.0,3.0,20.0,291.0,NLP library designed for reproducible experimentation management.,7.0,13,False,2020-05-28 19:00:02.000,0.1.6,8.0,transfer-nlp,,,,['pytorch'],,,https://pypi.org/project/transfer-nlp,2020-05-28 19:00:02.000,,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,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,,28.0,8.0,6.0,8.0,8.0,246.0,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",4.0,13,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,,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2024-01-09 14:26:49.000000,2024-01-09 14:26:42,74.0,,25.0,8.0,16.0,4.0,6.0,193.0,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,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,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,,35.0,14.0,18.0,27.0,18.0,122.0,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,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,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,,50.0,Distributed machine learning made simple.,2.0,13,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,33.0,33.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,51.0,51.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2024-03-28 08:06:49.000000,2022-02-09 22:20:11,9.0,,464.0,93.0,21.0,52.0,15.0,3262.0,AutoML algorithms for model architecture search at scale.,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +893,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,,400.0,63.0,6.0,62.0,17.0,1842.0,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,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,,316.0,87.0,11.0,12.0,6.0,1704.0,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,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,,53.0,17.0,3.0,2.0,1.0,530.0,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,False,2020-11-12 16:13:21.000,zen,11.0,deltapy,,,,,3.0,3.0,https://pypi.org/project/deltapy,2020-04-09 01:48:32.000,,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2024-04-24 13:48:16.000000,2022-11-21 12:12:41,1044.0,,12.0,6.0,26.0,1.0,2.0,258.0,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'],,,https://pypi.org/project/maze-rl,2021-12-13 16:04:42.000,,62.0,68.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,242.0,3.0,8.0,,,,,,,,,,,,,,,,,,, +897,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,,27.0,21.0,44.0,1.0,5.0,199.0,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,,74.0,74.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +898,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-11-14 18:32:58.000000,2021-08-01 07:11:57,363.0,,12.0,5.0,1238.0,4.0,10.0,126.0,Experiment tracking for machine and deep learning projects.,3.0,12,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,,137.0,147.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,661.0,3.0,,,,,,,,,,,,,,,,,,,, +899,Attribution Priors,suinleelab/attributionpriors,interpretability,,https://github.com/suinleelab/attributionpriors,https://github.com/suinleelab/attributionpriors,MIT,2019-06-24 23:54:24.000,2021-03-19 19:43:58.000000,2021-03-19 19:43:51,72.0,,9.0,6.0,,2.0,4.0,119.0,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,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +900,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/genixpro/hypermax,https://github.com/genixpro/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2024-01-03 19:06:45.000000,2024-01-03 19:06:45,209.0,,13.0,12.0,5.0,3.0,2.0,111.0,"Better, faster hyper-parameter optimization.",8.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,43.0,43.0,,,,,,,,3.0,,,,genixpro/hypermax,,,,,,,,,,,,,,,, +901,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,,11.0,8.0,4.0,5.0,14.0,101.0,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,,738.0,738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP-archive/contextual-ai,https://github.com/SAP-archive/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,,11.0,13.0,26.0,4.0,13.0,85.0,"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,,128.0,128.0,,,,,,,,3.0,,,,SAP-archive/contextual-ai,,,,,,,,,,,,,,,, +903,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,,8.0,7.0,4.0,14.0,18.0,84.0,"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,,41.0,41.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2024-02-04 11:31:27.000000,2024-02-04 11:28:34,124.0,,12.0,12.0,17.0,,,42.0,Bias Detector is a python package for detecting bias in machine learning models.,4.0,12,False,2024-02-04 11:31:27.000,0.0.13,12.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2024-02-04 11:31:27.000,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +905,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,,2.0,3.0,3.0,7.0,6.0,32.0,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,,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,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,,111.0,45.0,13.0,7.0,20.0,947.0,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,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,,146.0,39.0,7.0,19.0,14.0,916.0,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +908,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,,21.0,12.0,41.0,7.0,12.0,365.0,A library for distributed ML training with PyTorch.,6.0,11,False,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +909,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,,25.0,16.0,51.0,11.0,1.0,134.0,Simple Distributed Deep Learning on TensorFlow.,11.0,11,False,,,2.0,autodist,,,,['tensorflow'],,,https://pypi.org/project/autodist,2020-07-16 05:36:19.000,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +910,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2024-02-28 09:09:14.000000,2023-11-24 19:47:45,314.0,,7.0,7.0,126.0,7.0,9.0,107.0,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,11,False,2023-11-24 19:49:33.000,0.2.7,9.0,,,,,['jax'],4.0,4.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +911,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,,82.0,17.0,5.0,4.0,12.0,573.0,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,6.0,10,False,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +912,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,,50.0,15.0,13.0,14.0,11.0,501.0,Library for Textless Spoken Language Processing.,8.0,10,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +913,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,,10.0,9.0,44.0,,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,,16.0,16.0,,,,,,,,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.,,9,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,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +915,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,,25.0,7.0,2.0,2.0,6.0,144.0,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,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +916,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,,6.0,7.0,,1.0,,67.0,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 17:50:34.944,1.0,24.0,24.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index 861a6a5..2fa7ee7 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._ -- transformers (πŸ₯‡52 Β· ⭐ 130K Β· πŸ“ˆ) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- scikit-learn (πŸ₯‡52 Β· ⭐ 58K Β· πŸ“ˆ) - scikit-learn: machine learning in Python. BSD-3 -- XGBoost (πŸ₯‡45 Β· ⭐ 26K Β· πŸ“ˆ) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT.. Apache-2 -- StatsModels (πŸ₯‡45 Β· ⭐ 9.6K Β· πŸ“ˆ) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 -- Tokenizers (πŸ₯‡40 Β· ⭐ 8.5K Β· πŸ“ˆ) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 -- Fiona (πŸ₯ˆ38 Β· ⭐ 1.1K Β· πŸ“ˆ) - Fiona reads and writes geographic data files. BSD-3 -- imgaug (πŸ₯ˆ37 Β· ⭐ 14K Β· πŸ’€) - Image augmentation for machine learning experiments. MIT -- Coqui TTS (πŸ₯‡36 Β· ⭐ 30K Β· πŸ“ˆ) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- ivy (πŸ₯ˆ36 Β· ⭐ 14K Β· πŸ“ˆ) - The Unified AI Framework. Apache-2 -- YouTokenToMe (πŸ₯‰23 Β· ⭐ 940 Β· πŸ’€) - Unsupervised text tokenizer focused on computational efficiency. MIT +- scipy (πŸ₯‡51 Β· ⭐ 13K Β· πŸ“ˆ) - Ecosystem of open-source software for mathematics, science, and.. BSD-3 +- Altair (πŸ₯‡42 Β· ⭐ 9K Β· πŸ“ˆ) - Declarative statistical visualization library for Python. BSD-3 +- Faiss (πŸ₯‡40 Β· ⭐ 29K Β· πŸ“ˆ) - A library for efficient similarity search and clustering of dense vectors. MIT +- MONAI (πŸ₯ˆ36 Β· ⭐ 5.4K Β· πŸ“ˆ) - AI Toolkit for Healthcare Imaging. Apache-2 +- ColossalAI (πŸ₯ˆ34 Β· ⭐ 38K Β· πŸ“ˆ) - Making large AI models cheaper, faster and more accessible. Apache-2 +- datashader (πŸ₯ˆ34 Β· ⭐ 3.2K Β· πŸ“ˆ) - Quickly and accurately render even the largest data. BSD-3 +- tinygrad (πŸ₯‡33 Β· ⭐ 24K Β· πŸ“ˆ) - You like pytorch? You like micrograd? You love tinygrad!. MIT +- scikit-surprise (πŸ₯ˆ29 Β· ⭐ 6.2K Β· πŸ“ˆ) - A Python scikit for building and analyzing recommender.. BSD-3 +- Hyperactive (πŸ₯‰22 Β· ⭐ 490 Β· πŸ“ˆ) - An optimization and data collection toolbox for convenient and.. MIT +- TimeSide (πŸ₯‰21 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 ## 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._ -- Matplotlib (πŸ₯‡48 Β· ⭐ 19K Β· πŸ“‰) - matplotlib: plotting with Python. ❗Unlicensed -- jax (πŸ₯‡45 Β· ⭐ 28K Β· πŸ“‰) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- speechbrain (πŸ₯‡38 Β· ⭐ 8K Β· πŸ“‰) - A PyTorch-based Speech Toolkit. Apache-2 -- CuPy (πŸ₯‡37 Β· ⭐ 7.8K Β· πŸ“‰) - NumPy & SciPy for GPU. MIT -- metrics (πŸ₯ˆ35 Β· ⭐ 2K Β· πŸ“‰) - Torchmetrics - Machine learning metrics for distributed,.. Apache-2 -- TF-Agents (πŸ₯‡28 Β· ⭐ 2.7K Β· πŸ“‰) - TF-Agents: A reliable, scalable and easy to use.. Apache-2 -- Pytorch Toolbelt (πŸ₯‰22 Β· ⭐ 1.5K Β· πŸ“‰) - PyTorch extensions for fast R&D prototyping and.. MIT -- Vulkan Kompute (πŸ₯‰21 Β· ⭐ 1.5K Β· πŸ“‰) - General purpose GPU compute framework built on Vulkan.. Apache-2 -- TimeSide (πŸ₯‰19 Β· ⭐ 370 Β· πŸ’€) - scalable audio processing framework and server written in.. ❗️AGPL-3.0 -- OpenKE (πŸ₯‰13 Β· ⭐ 3.7K Β· πŸ“‰) - An Open-Source Package for Knowledge Embedding (KE). ❗Unlicensed +- StatsModels (πŸ₯ˆ44 Β· ⭐ 9.6K Β· πŸ“‰) - Statsmodels: statistical modeling and econometrics in Python. BSD-3 +- PyMC3 (πŸ₯‡40 Β· ⭐ 8.2K Β· πŸ“‰) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2 +- Rasa (πŸ₯‡39 Β· ⭐ 18K Β· πŸ“‰) - Open source machine learning framework to automate text- and.. Apache-2 +- Jina (πŸ₯ˆ38 Β· ⭐ 20K Β· πŸ“‰) - Build multimodal AI applications with cloud-native stack. Apache-2 +- NeuralProphet (πŸ₯ˆ30 Β· ⭐ 3.7K Β· πŸ“‰) - NeuralProphet: A simple forecasting package. MIT +- mtcnn (πŸ₯‰25 Β· ⭐ 2.1K Β· πŸ’€) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT +- auto_ml (πŸ₯‰22 Β· ⭐ 1.6K Β· πŸ’€) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT +- optunity (πŸ₯‰19 Β· ⭐ 410 Β· πŸ’€) - optimization routines for hyperparameter tuning. BSD-3 +- PipelineDP (πŸ₯‰17 Β· ⭐ 270 Β· πŸ“‰) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- celer (πŸ₯‰16 Β· ⭐ 190 Β· πŸ“‰) - Fast solver for L1-type problems: Lasso, sparse Logisitic.. BSD-3