From 22d7b6be93d648ba4be13f2dcd86b0092099cc23 Mon Sep 17 00:00:00 2001 From: LukasMasuch Date: Thu, 16 Mar 2023 15:23:24 +0000 Subject: [PATCH] Update best-of list for version 2023.03.16 --- README.md | 3202 ++++++++++++++++--------------- history/2023-03-16_changes.md | 30 + history/2023-03-16_projects.csv | 909 +++++++++ latest-changes.md | 40 +- 4 files changed, 2584 insertions(+), 1597 deletions(-) create mode 100644 history/2023-03-16_changes.md create mode 100644 history/2023-03-16_projects.csv diff --git a/README.md b/README.md index f3776ace..30309765 100644 --- a/README.md +++ b/README.md @@ -101,7 +101,7 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (🥇55 · ⭐ 170K) - An Open Source Machine Learning Framework for Everyone. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 4.3K · 🔀 88K · 📦 260K · 📋 37K - 6% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/tensorflow/tensorflow) (👨‍💻 4.3K · 🔀 88K · 📦 260K · 📋 37K - 6% open · ⏱️ 16.03.2023): ``` git clone https://github.com/tensorflow/tensorflow @@ -114,51 +114,51 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge tensorflow ``` -- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 72M · ⭐ 2.1K · ⏱️ 09.03.2023): +- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (📥 72M · ⭐ 2.1K · ⏱️ 16.03.2023): ``` docker pull tensorflow/tensorflow ```
scikit-learn (🥇52 · ⭐ 53K) - scikit-learn: machine learning in Python. BSD-3 -- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 2.9K · 🔀 24K · 📥 850 · 📦 480K · 📋 11K - 20% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/scikit-learn/scikit-learn) (👨‍💻 2.9K · 🔀 24K · 📥 850 · 📦 480K · 📋 11K - 20% open · ⏱️ 16.03.2023): ``` git clone https://github.com/scikit-learn/scikit-learn ``` -- [PyPi](https://pypi.org/project/scikit-learn) (📥 37M / month · 📦 28K · ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/scikit-learn) (📥 38M / month · 📦 28K · ⏱️ 24.01.2023): ``` pip install scikit-learn ``` -- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 19M · ⏱️ 09.03.2023): +- [Conda](https://anaconda.org/conda-forge/scikit-learn) (📥 20M · ⏱️ 09.03.2023): ``` conda install -c conda-forge scikit-learn ```
PyTorch (🥇50 · ⭐ 64K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 -- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 3.9K · 🔀 18K · 📥 12K · 📋 33K - 34% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/pytorch/pytorch) (👨‍💻 3.9K · 🔀 18K · 📥 12K · 📋 33K - 34% open · ⏱️ 16.03.2023): ``` git clone https://github.com/pytorch/pytorch ``` -- [PyPi](https://pypi.org/project/torch) (📥 8.8M / month · 📦 7.8K · ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/torch) (📥 9M / month · 📦 9.1K · ⏱️ 15.12.2022): ``` pip install torch ``` -- [Conda](https://anaconda.org/pytorch/pytorch) (📥 23M · ⏱️ 15.12.2022): +- [Conda](https://anaconda.org/pytorch/pytorch) (📥 14M · ⏱️ 14.03.2023): ``` conda install -c pytorch pytorch ```
Keras (🥇45 · ⭐ 58K) - Deep Learning for humans. Apache-2 -- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.2K · 🔀 19K · 📋 12K - 3% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/keras-team/keras) (👨‍💻 1.2K · 🔀 19K · 📋 12K - 3% open · ⏱️ 15.03.2023): ``` git clone https://github.com/keras-team/keras ``` -- [PyPi](https://pypi.org/project/keras) (📥 11M / month · 📦 470 · ⏱️ 23.02.2023): +- [PyPi](https://pypi.org/project/keras) (📥 11M / month · 📦 510 · ⏱️ 23.02.2023): ``` pip install keras ``` @@ -169,12 +169,12 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (🥇45 · ⭐ 35K) - Apache Spark Python API. Apache-2 -- [GitHub](https://github.com/apache/spark) (👨‍💻 2.8K · 🔀 27K · ⏱️ 09.03.2023): +- [GitHub](https://github.com/apache/spark) (👨‍💻 2.8K · 🔀 27K · ⏱️ 16.03.2023): ``` git clone https://github.com/apache/spark ``` -- [PyPi](https://pypi.org/project/pyspark) (📥 26M / month · 📦 980 · ⏱️ 28.11.2022): +- [PyPi](https://pypi.org/project/pyspark) (📥 26M / month · 📦 1K · ⏱️ 28.11.2022): ``` pip install pyspark ``` @@ -194,19 +194,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` pip install statsmodels ``` -- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 8.9M · ⏱️ 04.11.2022): +- [Conda](https://anaconda.org/conda-forge/statsmodels) (📥 9M · ⏱️ 04.11.2022): ``` conda install -c conda-forge statsmodels ```
XGBoost (🥈44 · ⭐ 24K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2 -- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 600 · 🔀 8.6K · 📥 6.2K · 📦 49K · 📋 4.8K - 7% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/dmlc/xgboost) (👨‍💻 600 · 🔀 8.6K · 📥 6.2K · 📦 50K · 📋 4.8K - 7% open · ⏱️ 16.03.2023): ``` git clone https://github.com/dmlc/xgboost ``` -- [PyPi](https://pypi.org/project/xgboost) (📥 9.4M / month · 📦 1.5K · ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/xgboost) (📥 9.2M / month · 📦 1.5K · ⏱️ 06.01.2023): ``` pip install xgboost ``` @@ -217,67 +217,67 @@ _General-purpose machine learning and deep learning frameworks._
jax (🥈43 · ⭐ 22K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2 -- [GitHub](https://github.com/google/jax) (👨‍💻 510 · 🔀 2.1K · 📦 8.8K · 📋 4.3K - 31% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/google/jax) (👨‍💻 520 · 🔀 2.1K · 📦 8.9K · 📋 4.2K - 30% open · ⏱️ 16.03.2023): ``` git clone https://github.com/google/jax ``` -- [PyPi](https://pypi.org/project/jax) (📥 1.3M / month · 📦 540 · ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/jax) (📥 1.6M / month · 📦 550 · ⏱️ 25.01.2023): ``` pip install jax ``` -- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 630K · ⏱️ 18.02.2023): +- [Conda](https://anaconda.org/conda-forge/jaxlib) (📥 640K · ⏱️ 12.03.2023): ``` conda install -c conda-forge jaxlib ```
LightGBM (🥈43 · ⭐ 15K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT -- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 280 · 🔀 3.7K · 📥 180K · 📦 20K · 📋 2.9K - 8% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/microsoft/LightGBM) (👨‍💻 280 · 🔀 3.7K · 📥 180K · 📦 20K · 📋 3K - 8% open · ⏱️ 16.03.2023): ``` git clone https://github.com/microsoft/LightGBM ``` -- [PyPi](https://pypi.org/project/lightgbm) (📥 6.2M / month · 📦 660 · ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/lightgbm) (📥 6.2M / month · 📦 730 · ⏱️ 24.01.2023): ``` pip install lightgbm ``` -- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 1.5M · ⏱️ 24.01.2023): +- [Conda](https://anaconda.org/conda-forge/lightgbm) (📥 1.6M · ⏱️ 24.01.2023): ``` conda install -c conda-forge lightgbm ```
pytorch-lightning (🥈42 · ⭐ 22K) - Deep learning framework to train, deploy, and ship AI.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/lightning) (👨‍💻 840 · 🔀 2.8K · 📥 11K · 📋 6K - 11% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/Lightning-AI/lightning) (👨‍💻 840 · 🔀 2.8K · 📥 11K · 📋 6K - 11% open · ⏱️ 16.03.2023): ``` git clone https://github.com/Lightning-AI/lightning ``` -- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 3.8M / month · 📦 580 · ⏱️ 18.01.2023): +- [PyPi](https://pypi.org/project/pytorch-lightning) (📥 4M / month · 📦 590 · ⏱️ 18.01.2023): ``` pip install pytorch-lightning ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 720K · ⏱️ 03.03.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (📥 730K · ⏱️ 15.03.2023): ``` conda install -c conda-forge pytorch-lightning ```
PaddlePaddle (🥈42 · ⭐ 20K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 960 · 🔀 5K · 📥 15K · 📦 200 · 📋 17K - 11% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/PaddlePaddle/Paddle) (👨‍💻 970 · 🔀 5K · 📥 15K · 📦 210 · 📋 17K - 11% open · ⏱️ 16.03.2023): ``` git clone https://github.com/PaddlePaddle/Paddle ``` -- [PyPi](https://pypi.org/project/paddlepaddle) (📥 88K / month · 📦 70 · ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/paddlepaddle) (📥 95K / month · 📦 70 · ⏱️ 17.02.2023): ``` pip install paddlepaddle ```
Catboost (🥈42 · ⭐ 7K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2 -- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.1K · 🔀 1.1K · 📥 130K · 📋 2K - 24% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/catboost/catboost) (👨‍💻 1.1K · 🔀 1.1K · 📥 130K · 📋 2K - 24% open · ⏱️ 16.03.2023): ``` git clone https://github.com/catboost/catboost @@ -291,26 +291,26 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge catboost ```
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Fastai (🥈40 · ⭐ 23K) - The fastai deep learning library. Apache-2 +
Fastai (🥈40 · ⭐ 24K) - The fastai deep learning library. Apache-2 -- [GitHub](https://github.com/fastai/fastai) (👨‍💻 650 · 🔀 7.4K · 📦 13K · 📋 1.7K - 8% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/fastai/fastai) (👨‍💻 650 · 🔀 7.4K · 📦 13K · 📋 1.7K - 8% open · ⏱️ 16.03.2023): ``` git clone https://github.com/fastai/fastai ``` -- [PyPi](https://pypi.org/project/fastai) (📥 400K / month · 📦 330 · ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/fastai) (📥 390K / month · 📦 330 · ⏱️ 15.02.2023): ``` pip install fastai ```
MXNet (🥈40 · ⭐ 20K) - Lightweight, Portable, Flexible Distributed/Mobile Deep Learning.. Apache-2 -- [GitHub](https://github.com/apache/mxnet) (👨‍💻 980 · 🔀 6.9K · 📥 26K · 📦 6.1K · 📋 9.5K - 18% open · ⏱️ 26.01.2023): +- [GitHub](https://github.com/apache/mxnet) (👨‍💻 980 · 🔀 6.9K · 📥 26K · 📦 6.2K · 📋 9.5K - 18% open · ⏱️ 26.01.2023): ``` git clone https://github.com/apache/incubator-mxnet ``` -- [PyPi](https://pypi.org/project/mxnet) (📥 510K / month · 📦 290 · ⏱️ 17.05.2022): +- [PyPi](https://pypi.org/project/mxnet) (📥 520K / month · 📦 290 · ⏱️ 17.05.2022): ``` pip install mxnet ``` @@ -321,12 +321,12 @@ _General-purpose machine learning and deep learning frameworks._
Jina (🥈39 · ⭐ 18K) - Build multimodal AI services via cloud native technologies Neural Search.. Apache-2 -- [GitHub](https://github.com/jina-ai/jina) (👨‍💻 160 · 🔀 2K · 📦 460 · 📋 1.8K - 2% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/jina-ai/jina) (👨‍💻 160 · 🔀 2.1K · 📦 460 · 📋 1.8K - 2% open · ⏱️ 15.03.2023): ``` git clone https://github.com/jina-ai/jina ``` -- [PyPi](https://pypi.org/project/jina) (📥 58K / month · 📦 6 · ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/jina) (📥 57K / month · 📦 6 · ⏱️ 06.07.2022): ``` pip install jina ``` @@ -334,19 +334,19 @@ _General-purpose machine learning and deep learning frameworks._ ``` conda install -c conda-forge jina-core ``` -- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.2M · ⭐ 8 · ⏱️ 09.03.2023): +- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (📥 1.2M · ⭐ 8 · ⏱️ 15.03.2023): ``` docker pull jinaai/jina ```
PyFlink (🥈37 · ⭐ 21K) - Apache Flink Python API. Apache-2 -- [GitHub](https://github.com/apache/flink) (👨‍💻 1.7K · 🔀 12K · ⏱️ 09.03.2023): +- [GitHub](https://github.com/apache/flink) (👨‍💻 1.7K · 🔀 12K · ⏱️ 16.03.2023): ``` git clone https://github.com/apache/flink ``` -- [PyPi](https://pypi.org/project/apache-flink) (📥 65K / month · 📦 18 · ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/apache-flink) (📥 63K / month · 📦 22 · ⏱️ 30.01.2023): ``` pip install apache-flink ``` @@ -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) (📥 250K / month · 📦 2.8K · ⏱️ 27.07.2020): +- [PyPi](https://pypi.org/project/theano) (📥 240K / month · 📦 2.8K · ⏱️ 27.07.2020): ``` pip install theano ``` @@ -369,44 +369,44 @@ _General-purpose machine learning and deep learning frameworks._
Vowpal Wabbit (🥈37 · ⭐ 8.2K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3 -- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 330 · 🔀 1.8K · 📋 1.2K - 11% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (👨‍💻 330 · 🔀 1.9K · 📋 1.2K - 10% open · ⏱️ 15.03.2023): ``` git clone https://github.com/VowpalWabbit/vowpal_wabbit ``` -- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 100K / month · 📦 32 · ⏱️ 09.11.2022): +- [PyPi](https://pypi.org/project/vowpalwabbit) (📥 93K / month · 📦 32 · ⏱️ 09.11.2022): ``` pip install vowpalwabbit ``` -- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 100K · ⏱️ 27.02.2023): +- [Conda](https://anaconda.org/conda-forge/vowpalwabbit) (📥 100K · ⏱️ 15.03.2023): ``` conda install -c conda-forge vowpalwabbit ```
Flax (🥈37 · ⭐ 4.1K) - Flax is a neural network library for JAX that is designed for.. Apache-2 -- [GitHub](https://github.com/google/flax) (👨‍💻 190 · 🔀 480 · 📥 42 · 📦 2.5K · 📋 710 - 17% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/google/flax) (👨‍💻 190 · 🔀 490 · 📥 42 · 📦 2.5K · 📋 710 - 18% open · ⏱️ 16.03.2023): ``` git clone https://github.com/google/flax ``` -- [PyPi](https://pypi.org/project/flax) (📥 460K / month · 📦 130 · ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/flax) (📥 530K / month · 📦 140 · ⏱️ 26.01.2023): ``` pip install flax ``` -- [Conda](https://anaconda.org/conda-forge/flax) (📥 20K · ⏱️ 04.10.2022): +- [Conda](https://anaconda.org/conda-forge/flax) (📥 21K · ⏱️ 16.03.2023): ``` conda install -c conda-forge flax ```
Thinc (🥈36 · ⭐ 2.7K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT -- [GitHub](https://github.com/explosion/thinc) (👨‍💻 61 · 🔀 270 · 📦 28K · 📋 140 - 16% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/explosion/thinc) (👨‍💻 61 · 🔀 270 · 📦 29K · 📋 140 - 16% open · ⏱️ 07.03.2023): ``` git clone https://github.com/explosion/thinc ``` -- [PyPi](https://pypi.org/project/thinc) (📥 4.5M / month · 📦 620 · ⏱️ 13.01.2023): +- [PyPi](https://pypi.org/project/thinc) (📥 4.6M / month · 📦 620 · ⏱️ 13.01.2023): ``` pip install thinc ``` @@ -415,14 +415,30 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge thinc ```
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Sonnet (🥈33 · ⭐ 9.5K) - TensorFlow-based neural network library. Apache-2 +
einops (🥈34 · ⭐ 6.5K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT + +- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 23 · 🔀 280 · 📦 8.2K · 📋 140 - 26% open · ⏱️ 16.03.2023): + + ``` + git clone https://github.com/arogozhnikov/einops + ``` +- [PyPi](https://pypi.org/project/einops) (📥 3.1M / month · 📦 290 · ⏱️ 09.11.2022): + ``` + pip install einops + ``` +- [Conda](https://anaconda.org/conda-forge/einops) (📥 80K · ⏱️ 09.12.2022): + ``` + conda install -c conda-forge einops + ``` +
+
Sonnet (🥉33 · ⭐ 9.5K) - TensorFlow-based neural network library. Apache-2 - [GitHub](https://github.com/deepmind/sonnet) (👨‍💻 56 · 🔀 1.4K · 📦 1K · 📋 190 - 17% open · ⏱️ 23.02.2023): ``` git clone https://github.com/deepmind/sonnet ``` -- [PyPi](https://pypi.org/project/dm-sonnet) (📥 27K / month · 📦 53 · ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/dm-sonnet) (📥 28K / month · 📦 53 · ⏱️ 15.12.2022): ``` pip install dm-sonnet ``` @@ -431,47 +447,31 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge sonnet ```
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ivy (🥈33 · ⭐ 9.3K) - The Unified Machine Learning Framework. Apache-2 +
ivy (🥉33 · ⭐ 9.5K) - The Unified Machine Learning Framework. Apache-2 -- [GitHub](https://github.com/unifyai/ivy) (👨‍💻 810 · 🔀 3.3K · 📋 6.3K - 16% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/unifyai/ivy) (👨‍💻 830 · 🔀 3.4K · 📋 6.7K - 19% open · ⏱️ 16.03.2023): ``` git clone https://github.com/unifyai/ivy ``` -- [PyPi](https://pypi.org/project/ivy-core) (📥 330 / month · 📦 6 · ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/ivy-core) (📥 400 / month · 📦 6 · ⏱️ 01.06.2022): ``` pip install ivy-core ```
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Ludwig (🥈33 · ⭐ 8.8K) - Data-centric declarative deep learning framework. Apache-2 +
Ludwig (🥉33 · ⭐ 8.8K) - Data-centric declarative deep learning framework. Apache-2 -- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 130 · 🔀 1K · 📦 160 · 📋 950 - 27% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/ludwig-ai/ludwig) (👨‍💻 130 · 🔀 1K · 📦 160 · 📋 950 - 27% open · ⏱️ 16.03.2023): ``` git clone https://github.com/ludwig-ai/ludwig ``` -- [PyPi](https://pypi.org/project/ludwig) (📥 3K / month · 📦 9 · ⏱️ 28.10.2022): +- [PyPi](https://pypi.org/project/ludwig) (📥 3.3K / month · 📦 9 · ⏱️ 28.10.2022): ``` pip install ludwig ```
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einops (🥈33 · ⭐ 6.5K) - Deep learning operations reinvented (for pytorch, tensorflow, jax and.. MIT - -- [GitHub](https://github.com/arogozhnikov/einops) (👨‍💻 22 · 🔀 290 · 📦 8K · 📋 140 - 27% open · ⏱️ 18.01.2023): - - ``` - git clone https://github.com/arogozhnikov/einops - ``` -- [PyPi](https://pypi.org/project/einops) (📥 2.8M / month · 📦 290 · ⏱️ 09.11.2022): - ``` - pip install einops - ``` -- [Conda](https://anaconda.org/conda-forge/einops) (📥 77K · ⏱️ 09.12.2022): - ``` - conda install -c conda-forge einops - ``` -
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Chainer (🥈33 · ⭐ 5.8K) - A flexible framework of neural networks for deep learning. MIT +
Chainer (🥉33 · ⭐ 5.8K) - A flexible framework of neural networks for deep learning. MIT - [GitHub](https://github.com/chainer/chainer) (👨‍💻 320 · 🔀 1.4K · 📦 3K · 📋 2K - 0% open · ⏱️ 17.10.2022): @@ -487,14 +487,14 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge chainer ```
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mlpack (🥈33 · ⭐ 4.3K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 +
mlpack (🥉33 · ⭐ 4.3K) - mlpack: a fast, header-only C++ machine learning library. BSD-3 - [GitHub](https://github.com/mlpack/mlpack) (👨‍💻 300 · 🔀 1.5K · 📋 1.5K - 3% open · ⏱️ 08.03.2023): ``` git clone https://github.com/mlpack/mlpack ``` -- [PyPi](https://pypi.org/project/mlpack) (📥 3.9K / month · 📦 1 · ⏱️ 29.12.2022): +- [PyPi](https://pypi.org/project/mlpack) (📥 2.8K / month · 📦 1 · ⏱️ 29.12.2022): ``` pip install mlpack ``` @@ -503,18 +503,6 @@ _General-purpose machine learning and deep learning frameworks._ conda install -c conda-forge mlpack ```
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tensorflow-upstream (🥈33 · ⭐ 630) - TensorFlow ROCm port. Apache-2 - -- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨‍💻 4.3K · 🔀 74 · 📥 21 · 📋 340 - 20% open · ⏱️ 08.03.2023): - - ``` - git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream - ``` -- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 1.9K / month · 📦 5 · ⏱️ 06.12.2022): - ``` - pip install tensorflow-rocm - ``` -
tensorpack (🥉32 · ⭐ 6.3K) - A Neural Net Training Interface on TensorFlow, with focus.. Apache-2 - [GitHub](https://github.com/tensorpack/tensorpack) (👨‍💻 58 · 🔀 1.9K · 📥 150 · 📦 1.2K · 📋 1.4K - 0% open · ⏱️ 26.11.2022): @@ -522,23 +510,23 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/tensorpack/tensorpack ``` -- [PyPi](https://pypi.org/project/tensorpack) (📥 13K / month · 📦 47 · ⏱️ 22.01.2021): +- [PyPi](https://pypi.org/project/tensorpack) (📥 14K / month · 📦 47 · ⏱️ 22.01.2021): ``` pip install tensorpack ``` -- [Conda](https://anaconda.org/conda-forge/tensorpack) (📥 8K · ⏱️ 06.02.2022): +- [Conda](https://anaconda.org/conda-forge/tensorpack) (📥 8.2K · ⏱️ 06.02.2022): ``` conda install -c conda-forge tensorpack ```
Ignite (🥉32 · ⭐ 4.2K) - High-level library to help with training and evaluating neural.. BSD-3 -- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 190 · 🔀 580 · 📋 1.2K - 12% open · ⏱️ 27.02.2023): +- [GitHub](https://github.com/pytorch/ignite) (👨‍💻 190 · 🔀 590 · 📋 1.2K - 12% open · ⏱️ 15.03.2023): ``` git clone https://github.com/pytorch/ignite ``` -- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 96K / month · 📦 33 · ⏱️ 08.11.2022): +- [PyPi](https://pypi.org/project/pytorch-ignite) (📥 98K / month · 📦 33 · ⏱️ 08.11.2022): ``` pip install pytorch-ignite ``` @@ -549,20 +537,32 @@ _General-purpose machine learning and deep learning frameworks._
Haiku (🥉32 · ⭐ 2.4K) - JAX-based neural network library. Apache-2 -- [GitHub](https://github.com/deepmind/dm-haiku) (👨‍💻 71 · 🔀 200 · 📦 1.1K · 📋 240 - 36% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/deepmind/dm-haiku) (👨‍💻 72 · 🔀 200 · 📦 1.1K · 📋 240 - 36% open · ⏱️ 14.03.2023): ``` git clone https://github.com/deepmind/dm-haiku ``` -- [PyPi](https://pypi.org/project/dm-haiku) (📥 130K / month · 📦 44 · ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/dm-haiku) (📥 140K / month · 📦 44 · ⏱️ 16.11.2022): ``` pip install dm-haiku ``` -- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 9.3K · ⏱️ 21.09.2022): +- [Conda](https://anaconda.org/conda-forge/dm-haiku) (📥 9.4K · ⏱️ 21.09.2022): ``` conda install -c conda-forge dm-haiku ```
+
tensorflow-upstream (🥉32 · ⭐ 630) - TensorFlow ROCm port. Apache-2 + +- [GitHub](https://github.com/ROCmSoftwarePlatform/tensorflow-upstream) (👨‍💻 4.3K · 🔀 74 · 📥 21 · 📋 340 - 20% open · ⏱️ 08.03.2023): + + ``` + git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream + ``` +- [PyPi](https://pypi.org/project/tensorflow-rocm) (📥 2.3K / month · 📦 5 · ⏱️ 06.12.2022): + ``` + pip install tensorflow-rocm + ``` +
CNTK (🥉31 · ⭐ 17K) - Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit. MIT - [GitHub](https://github.com/microsoft/CNTK) (👨‍💻 270 · 🔀 4.4K · 📥 14K · 📋 3.4K - 24% open · ⏱️ 23.09.2022): @@ -570,30 +570,30 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/microsoft/CNTK ``` -- [PyPi](https://pypi.org/project/cntk) (📥 640 / month · 📦 18 · ⏱️ 09.12.2020): +- [PyPi](https://pypi.org/project/cntk) (📥 710 / month · 📦 18 · ⏱️ 09.12.2020): ``` pip install cntk ```
skorch (🥉30 · ⭐ 5.1K) - A scikit-learn compatible neural network library that wraps.. BSD-3 -- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 54 · 🔀 340 · 📦 780 · 📋 470 - 12% open · ⏱️ 13.02.2023): +- [GitHub](https://github.com/skorch-dev/skorch) (👨‍💻 54 · 🔀 340 · 📦 790 · 📋 470 - 12% open · ⏱️ 13.02.2023): ``` git clone https://github.com/skorch-dev/skorch ``` -- [PyPi](https://pypi.org/project/skorch) (📥 59K / month · 📦 45 · ⏱️ 18.11.2022): +- [PyPi](https://pypi.org/project/skorch) (📥 62K / month · 📦 45 · ⏱️ 18.11.2022): ``` pip install skorch ``` -- [Conda](https://anaconda.org/conda-forge/skorch) (📥 720K · ⏱️ 30.11.2021): +- [Conda](https://anaconda.org/conda-forge/skorch) (📥 730K · ⏱️ 14.03.2023): ``` conda install -c conda-forge skorch ```
Neural Network Libraries (🥉30 · ⭐ 2.6K) - Neural Network Libraries. Apache-2 -- [GitHub](https://github.com/sony/nnabla) (👨‍💻 71 · 🔀 330 · 📥 560 · 📋 89 - 35% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/sony/nnabla) (👨‍💻 71 · 🔀 330 · 📥 560 · 📋 89 - 35% open · ⏱️ 10.03.2023): ``` git clone https://github.com/sony/nnabla @@ -610,38 +610,38 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/amaiya/ktrain ``` -- [PyPi](https://pypi.org/project/ktrain) (📥 22K / month · 📦 3 · ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/ktrain) (📥 21K / month · 📦 3 · ⏱️ 03.02.2023): ``` pip install ktrain ```
dyNET (🥉29 · ⭐ 3.3K · 💤) - DyNet: The Dynamic Neural Network Toolkit. Apache-2 -- [GitHub](https://github.com/clab/dynet) (👨‍💻 160 · 🔀 700 · 📥 9.4K · 📦 240 · 📋 930 - 28% open · ⏱️ 14.08.2022): +- [GitHub](https://github.com/clab/dynet) (👨‍💻 160 · 🔀 700 · 📥 9.6K · 📦 240 · 📋 930 - 28% open · ⏱️ 14.08.2022): ``` git clone https://github.com/clab/dynet ``` -- [PyPi](https://pypi.org/project/dyNET) (📥 2.8K / month · 📦 28 · ⏱️ 21.10.2020): +- [PyPi](https://pypi.org/project/dyNET) (📥 2.9K / month · 📦 28 · ⏱️ 21.10.2020): ``` pip install dyNET ```
Neural Tangents (🥉27 · ⭐ 2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2 -- [GitHub](https://github.com/google/neural-tangents) (👨‍💻 23 · 🔀 220 · 📥 270 · 📦 63 · 📋 140 - 40% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/google/neural-tangents) (👨‍💻 24 · 🔀 220 · 📥 270 · 📦 64 · 📋 140 - 40% open · ⏱️ 09.03.2023): ``` git clone https://github.com/google/neural-tangents ``` -- [PyPi](https://pypi.org/project/neural-tangents) (📥 3.8K / month · 📦 1 · ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/neural-tangents) (📥 3.7K / month · 📦 1 · ⏱️ 19.09.2022): ``` pip install neural-tangents ```
Towhee (🥉27 · ⭐ 1.9K) - Towhee is a framework that is dedicated to making neural data.. Apache-2 -- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 29 · 🔀 190 · 📥 1.1K · 📋 580 - 1% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/towhee-io/towhee) (👨‍💻 29 · 🔀 190 · 📥 1.1K · 📋 580 - 1% open · ⏱️ 14.03.2023): ``` git clone https://github.com/towhee-io/towhee @@ -651,14 +651,14 @@ _General-purpose machine learning and deep learning frameworks._ pip install towhee ```
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Geomstats (🥉27 · ⭐ 910) - Computations and statistics on manifolds with geometric structures. MIT +
Geomstats (🥉26 · ⭐ 910) - Computations and statistics on manifolds with geometric structures. MIT -- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 76 · 🔀 210 · 📋 540 - 42% open · ⏱️ 21.02.2023): +- [GitHub](https://github.com/geomstats/geomstats) (👨‍💻 76 · 🔀 210 · 📋 540 - 42% open · ⏱️ 13.03.2023): ``` git clone https://github.com/geomstats/geomstats ``` -- [PyPi](https://pypi.org/project/geomstats) (📥 1.2K / month · 📦 2 · ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/geomstats) (📥 1.4K / month · 📦 2 · ⏱️ 22.04.2022): ``` pip install geomstats ``` @@ -674,7 +674,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/aksnzhy/xlearn ``` -- [PyPi](https://pypi.org/project/xlearn) (📥 2.9K / month · 📦 12 · ⏱️ 04.12.2018): +- [PyPi](https://pypi.org/project/xlearn) (📥 3K / month · 📦 12 · ⏱️ 04.12.2018): ``` pip install xlearn ``` @@ -686,7 +686,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/nubank/fklearn ``` -- [PyPi](https://pypi.org/project/fklearn) (📥 4.3K / month · ⏱️ 06.09.2022): +- [PyPi](https://pypi.org/project/fklearn) (📥 3.3K / month · ⏱️ 06.09.2022): ``` pip install fklearn ``` @@ -698,7 +698,7 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/itdxer/neupy ``` -- [PyPi](https://pypi.org/project/neupy) (📥 5.9K / month · 📦 12 · ⏱️ 04.04.2019): +- [PyPi](https://pypi.org/project/neupy) (📥 5.5K / month · 📦 12 · ⏱️ 04.04.2019): ``` pip install neupy ``` @@ -711,14 +711,14 @@ _General-purpose machine learning and deep learning frameworks._ git clone https://github.com/XiaoMi/mace ```
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Objax (🥉21 · ⭐ 730 · 💤) - Objax is a machine learning framework that provides an Object.. Apache-2 +
Objax (🥉21 · ⭐ 740 · 💤) - Objax is a machine learning framework that provides an Object.. Apache-2 - [GitHub](https://github.com/google/objax) (👨‍💻 24 · 🔀 68 · 📦 33 · 📋 110 - 43% open · ⏱️ 30.08.2022): ``` git clone https://github.com/google/objax ``` -- [PyPi](https://pypi.org/project/objax) (📥 450 / month · 📦 3 · ⏱️ 31.01.2022): +- [PyPi](https://pypi.org/project/objax) (📥 440 / month · 📦 3 · ⏱️ 31.01.2022): ``` pip install objax ``` @@ -730,14 +730,14 @@ _General-purpose machine learning and deep learning frameworks._ ``` git clone https://github.com/Xtra-Computing/thundersvm ``` -- [PyPi](https://pypi.org/project/thundersvm) (📥 410 / month · ⏱️ 13.03.2020): +- [PyPi](https://pypi.org/project/thundersvm) (📥 450 / month · ⏱️ 13.03.2020): ``` pip install thundersvm ```
NeoML (🥉20 · ⭐ 710) - Machine learning framework for both deep learning and traditional.. Apache-2 -- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 33 · 🔀 110 · 📋 83 - 40% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/neoml-lib/neoml) (👨‍💻 33 · 🔀 110 · 📋 83 - 40% open · ⏱️ 15.03.2023): ``` git clone https://github.com/neoml-lib/neoml @@ -749,19 +749,19 @@ _General-purpose machine learning and deep learning frameworks._
chefboost (🥉20 · ⭐ 390) - A Lightweight Decision Tree Framework supporting regular algorithms:.. MIT -- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 6 · 🔀 93 · 📦 34 · 📋 32 - 15% open · ⏱️ 06.02.2023): +- [GitHub](https://github.com/serengil/chefboost) (👨‍💻 6 · 🔀 93 · 📦 35 · 📋 32 - 15% open · ⏱️ 06.02.2023): ``` git clone https://github.com/serengil/chefboost ``` -- [PyPi](https://pypi.org/project/chefboost) (📥 1.3K / month · ⏱️ 16.02.2022): +- [PyPi](https://pypi.org/project/chefboost) (📥 1.2K / month · ⏱️ 16.02.2022): ``` pip install chefboost ```
elegy (🥉18 · ⭐ 440 · 💤) - A High Level API for Deep Learning in JAX. MIT -- [GitHub](https://github.com/poets-ai/elegy) (👨‍💻 18 · 🔀 32 · 📦 37 · 📋 100 - 37% open · ⏱️ 23.05.2022): +- [GitHub](https://github.com/poets-ai/elegy) (👨‍💻 18 · 🔀 32 · 📦 38 · 📋 100 - 37% open · ⏱️ 23.05.2022): ``` git clone https://github.com/poets-ai/elegy @@ -771,14 +771,14 @@ _General-purpose machine learning and deep learning frameworks._ pip install elegy ```
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ThunderGBM (🥉16 · ⭐ 660) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 +
ThunderGBM (🥉17 · ⭐ 660) - ThunderGBM: Fast GBDTs and Random Forests on GPUs. Apache-2 - [GitHub](https://github.com/Xtra-Computing/thundergbm) (👨‍💻 10 · 🔀 87 · 📦 2 · 📋 76 - 44% open · ⏱️ 13.09.2022): ``` git clone https://github.com/Xtra-Computing/thundergbm ``` -- [PyPi](https://pypi.org/project/thundergbm) (📥 150 / month · ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/thundergbm) (📥 180 / month · ⏱️ 19.09.2022): ``` pip install thundergbm ``` @@ -787,12 +787,12 @@ _General-purpose machine learning and deep learning frameworks._ - dlib (🥈38 · ⭐ 12K) - A toolkit for making real world machine learning and data analysis.. ❗️BSL-1.0 - MindsDB (🥈35 · ⭐ 14K) - An emerging platform to help developers build #AI solutions. ❗️GPL-3.0 -- Turi Create (🥈33 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. BSD-3 +- Turi Create (🥉33 · ⭐ 11K · 💀) - Turi Create simplifies the development of custom machine.. BSD-3 - TFlearn (🥉32 · ⭐ 9.6K · 💀) - Deep learning library featuring a higher-level API for TensorFlow. MIT - NuPIC (🥉28 · ⭐ 6.3K · 💀) - Numenta Platform for Intelligent Computing is an implementation.. ❗️AGPL-3.0 - Lasagne (🥉28 · ⭐ 3.8K · 💀) - Lightweight library to build and train neural networks in Theano. MIT - SHOGUN (🥉26 · ⭐ 2.9K · 💀) - Unified and efficient Machine Learning. BSD-3 -- neon (🥉22 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 +- neon (🥉23 · ⭐ 3.9K · 💀) - Intel Nervana reference deep learning framework committed to best.. Apache-2 - Torchbearer (🥉21 · ⭐ 630 · 💀) - torchbearer: A model fitting library for PyTorch. MIT - StarSpace (🥉16 · ⭐ 3.8K · 💀) - Learning embeddings for classification, retrieval and ranking. MIT
@@ -806,48 +806,48 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (🥇50 · ⭐ 17K) - matplotlib: plotting with Python. Python-2.0 -- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.5K · 🔀 6.8K · 📦 770K · 📋 9.7K - 19% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/matplotlib/matplotlib) (👨‍💻 1.5K · 🔀 6.8K · 📦 770K · 📋 9.7K - 19% open · ⏱️ 16.03.2023): ``` git clone https://github.com/matplotlib/matplotlib ``` -- [PyPi](https://pypi.org/project/matplotlib) (📥 33M / month · 📦 59K · ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/matplotlib) (📥 34M / month · 📦 59K · ⏱️ 25.01.2023): ``` pip install matplotlib ``` -- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 16M · ⏱️ 06.03.2023): +- [Conda](https://anaconda.org/conda-forge/matplotlib) (📥 17M · ⏱️ 06.03.2023): ``` conda install -c conda-forge matplotlib ```
Bokeh (🥇43 · ⭐ 17K) - Interactive Data Visualization in the browser, from Python. BSD-3 -- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 640 · 🔀 4.1K · 📦 200 · 📋 7.2K - 9% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/bokeh/bokeh) (👨‍💻 640 · 🔀 4.1K · 📦 200 · 📋 7.2K - 9% open · ⏱️ 16.03.2023): ``` git clone https://github.com/bokeh/bokeh ``` -- [PyPi](https://pypi.org/project/bokeh) (📥 3.4M / month · 📦 3.7K · ⏱️ 20.12.2022): +- [PyPi](https://pypi.org/project/bokeh) (📥 3.5M / month · 📦 3.7K · ⏱️ 20.12.2022): ``` pip install bokeh ``` -- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 10M · ⏱️ 12.12.2022): +- [Conda](https://anaconda.org/conda-forge/bokeh) (📥 10M · ⏱️ 14.03.2023): ``` conda install -c conda-forge bokeh ```
Seaborn (🥇43 · ⭐ 10K) - Statistical data visualization in Python. BSD-3 -- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 190 · 🔀 1.7K · 📥 240 · 📦 230K · 📋 2.3K - 4% open · ⏱️ 26.02.2023): +- [GitHub](https://github.com/mwaskom/seaborn) (👨‍💻 190 · 🔀 1.7K · 📥 240 · 📦 230K · 📋 2.3K - 5% open · ⏱️ 14.03.2023): ``` git clone https://github.com/mwaskom/seaborn ``` -- [PyPi](https://pypi.org/project/seaborn) (📥 9.4M / month · 📦 9.5K · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/seaborn) (📥 9.3M / month · 📦 10K · ⏱️ 02.01.2023): ``` pip install seaborn ``` -- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 6.1M · ⏱️ 31.12.2022): +- [Conda](https://anaconda.org/conda-forge/seaborn) (📥 6.2M · ⏱️ 31.12.2022): ``` conda install -c conda-forge seaborn ``` @@ -863,45 +863,45 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install plotly ``` -- [Conda](https://anaconda.org/conda-forge/plotly) (📥 3.8M · ⏱️ 24.02.2023): +- [Conda](https://anaconda.org/conda-forge/plotly) (📥 3.9M · ⏱️ 24.02.2023): ``` conda install -c conda-forge plotly ``` -- [npm](https://www.npmjs.com/package/plotlywidget) (📥 45K / month · 📦 6 · ⏱️ 12.01.2021): +- [npm](https://www.npmjs.com/package/plotlywidget) (📥 46K / month · 📦 6 · ⏱️ 12.01.2021): ``` npm install plotlywidget ```
-
dash (🥇40 · ⭐ 18K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT +
Altair (🥇41 · ⭐ 8.1K · 📈) - Declarative statistical visualization library for Python. BSD-3 -- [GitHub](https://github.com/plotly/dash) (👨‍💻 130 · 🔀 1.8K · 📦 43K · 📋 1.5K - 49% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/altair-viz/altair) (👨‍💻 150 · 🔀 700 · 📥 19 · 📦 48K · 📋 1.8K - 14% open · ⏱️ 15.03.2023): ``` - git clone https://github.com/plotly/dash + git clone https://github.com/altair-viz/altair ``` -- [PyPi](https://pypi.org/project/dash) (📥 1.3M / month · 📦 1.2K · ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/altair) (📥 11M / month · 📦 540 · ⏱️ 01.03.2023): ``` - pip install dash + pip install altair ``` -- [Conda](https://anaconda.org/conda-forge/dash) (📥 850K · ⏱️ 31.01.2023): +- [Conda](https://anaconda.org/conda-forge/altair) (📥 1.7M · ⏱️ 31.01.2023): ``` - conda install -c conda-forge dash + conda install -c conda-forge altair ```
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Altair (🥇40 · ⭐ 8.1K) - Declarative statistical visualization library for Python. BSD-3 +
dash (🥇40 · ⭐ 18K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT -- [GitHub](https://github.com/altair-viz/altair) (👨‍💻 150 · 🔀 700 · 📥 18 · 📦 48K · 📋 1.8K - 14% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/plotly/dash) (👨‍💻 130 · 🔀 1.9K · 📦 43K · 📋 1.5K - 48% open · ⏱️ 16.03.2023): ``` - git clone https://github.com/altair-viz/altair + git clone https://github.com/plotly/dash ``` -- [PyPi](https://pypi.org/project/altair) (📥 11M / month · 📦 540 · ⏱️ 01.03.2023): +- [PyPi](https://pypi.org/project/dash) (📥 1.3M / month · 📦 1.3K · ⏱️ 30.01.2023): ``` - pip install altair + pip install dash ``` -- [Conda](https://anaconda.org/conda-forge/altair) (📥 1.6M · ⏱️ 31.01.2023): +- [Conda](https://anaconda.org/conda-forge/dash) (📥 860K · ⏱️ 31.01.2023): ``` - conda install -c conda-forge altair + conda install -c conda-forge dash ```
pyecharts (🥈37 · ⭐ 13K) - Python Echarts Plotting Library. MIT @@ -911,30 +911,14 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/pyecharts/pyecharts ``` -- [PyPi](https://pypi.org/project/pyecharts) (📥 120K / month · 📦 230 · ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/pyecharts) (📥 110K / month · 📦 230 · ⏱️ 09.01.2023): ``` pip install pyecharts ```
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pandas-profiling (🥈37 · ⭐ 10K) - Create HTML profiling reports from pandas DataFrame.. MIT +
PyQtGraph (🥈36 · ⭐ 3.2K) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- [GitHub](https://github.com/ydataai/ydata-profiling) (👨‍💻 110 · 🔀 1.5K · 📦 110 · 📋 640 - 20% open · ⏱️ 08.03.2023): - - ``` - git clone https://github.com/ydataai/pandas-profiling - ``` -- [PyPi](https://pypi.org/project/pandas-profiling) (📥 1.1M / month · 📦 180 · ⏱️ 31.01.2023): - ``` - pip install pandas-profiling - ``` -- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 340K · ⏱️ 25.01.2023): - ``` - conda install -c conda-forge pandas-profiling - ``` -
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PyQtGraph (🥈36 · ⭐ 3.1K · 📈) - Fast data visualization and GUI tools for scientific / engineering.. MIT - -- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 250 · 🔀 990 · 📋 1.2K - 30% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (👨‍💻 250 · 🔀 990 · 📋 1.2K - 30% open · ⏱️ 13.03.2023): ``` git clone https://github.com/pyqtgraph/pyqtgraph @@ -948,26 +932,26 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge pyqtgraph ```
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FiftyOne (🥈36 · ⭐ 2.6K) - Visualize, create, and debug image and video datasets.. Apache-2 +
FiftyOne (🥈36 · ⭐ 2.7K) - Visualize, create, and debug image and video datasets.. Apache-2 -- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 74 · 🔀 320 · 📦 260 · 📋 1.2K - 36% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/voxel51/fiftyone) (👨‍💻 76 · 🔀 320 · 📦 260 · 📋 1.2K - 36% open · ⏱️ 16.03.2023): ``` git clone https://github.com/voxel51/fiftyone ``` -- [PyPi](https://pypi.org/project/fiftyone) (📥 230K / month · 📦 4 · ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/fiftyone) (📥 280K / month · 📦 5 · ⏱️ 04.01.2023): ``` pip install fiftyone ```
HoloViews (🥈36 · ⭐ 2.4K) - With Holoviews, your data visualizes itself. BSD-3 -- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 130 · 🔀 370 · 📋 3K - 32% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/holoviz/holoviews) (👨‍💻 130 · 🔀 370 · 📋 3K - 33% open · ⏱️ 16.03.2023): ``` git clone https://github.com/holoviz/holoviews ``` -- [PyPi](https://pypi.org/project/holoviews) (📥 510K / month · 📦 230 · ⏱️ 16.01.2023): +- [PyPi](https://pypi.org/project/holoviews) (📥 510K / month · 📦 240 · ⏱️ 16.01.2023): ``` pip install holoviews ``` @@ -975,14 +959,14 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge holoviews ``` -- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 880 / month · ⏱️ 24.05.2020): +- [npm](https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz) (📥 920 / month · 📦 2 · ⏱️ 24.05.2020): ``` npm install @pyviz/jupyterlab_pyviz ```
PyVista (🥈35 · ⭐ 1.7K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT -- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 120 · 🔀 310 · 📥 700 · 📦 1.7K · 📋 1.1K - 29% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/pyvista/pyvista) (👨‍💻 120 · 🔀 320 · 📥 700 · 📦 1.7K · 📋 1.1K - 29% open · ⏱️ 16.03.2023): ``` git clone https://github.com/pyvista/pyvista @@ -991,14 +975,14 @@ _General-purpose and task-specific data visualization libraries._ ``` pip install pyvista ``` -- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 300K · ⏱️ 23.02.2023): +- [Conda](https://anaconda.org/conda-forge/pyvista) (📥 300K · ⏱️ 12.03.2023): ``` conda install -c conda-forge pyvista ```
UMAP (🥈34 · ⭐ 6.1K) - Uniform Manifold Approximation and Projection. BSD-3 -- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 110 · 🔀 700 · 📦 8.1K · 📋 690 - 54% open · ⏱️ 23.02.2023): +- [GitHub](https://github.com/lmcinnes/umap) (👨‍💻 110 · 🔀 710 · 📦 8.2K · 📋 700 - 54% open · ⏱️ 23.02.2023): ``` git clone https://github.com/lmcinnes/umap @@ -1012,14 +996,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge umap-learn ```
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plotnine (🥈34 · ⭐ 3.4K · 📈) - A grammar of graphics for Python. MIT + +- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 99 · 🔀 190 · 📦 4.6K · 📋 560 - 15% open · ⏱️ 15.03.2023): + + ``` + git clone https://github.com/has2k1/plotnine + ``` +- [PyPi](https://pypi.org/project/plotnine) (📥 300K / month · 📦 240 · ⏱️ 29.09.2022): + ``` + pip install plotnine + ``` +- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 250K · ⏱️ 28.02.2023): + ``` + conda install -c conda-forge plotnine + ``` +
VisPy (🥈33 · ⭐ 3K) - High-performance interactive 2D/3D data visualization library. BSD-3 -- [GitHub](https://github.com/vispy/vispy) (👨‍💻 180 · 🔀 600 · 📦 1.1K · 📋 1.4K - 22% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/vispy/vispy) (👨‍💻 180 · 🔀 610 · 📦 1.1K · 📋 1.4K - 23% open · ⏱️ 13.03.2023): ``` git clone https://github.com/vispy/vispy ``` -- [PyPi](https://pypi.org/project/vispy) (📥 47K / month · 📦 110 · ⏱️ 14.11.2022): +- [PyPi](https://pypi.org/project/vispy) (📥 49K / month · 📦 110 · ⏱️ 14.11.2022): ``` pip install vispy ``` @@ -1027,19 +1027,19 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge vispy ``` -- [npm](https://www.npmjs.com/package/vispy) (📥 20 / month · ⏱️ 15.03.2020): +- [npm](https://www.npmjs.com/package/vispy) (📥 12 / month · 📦 1 · ⏱️ 15.03.2020): ``` npm install vispy ```
datashader (🥈33 · ⭐ 2.9K) - Quickly and accurately render even the largest data. BSD-3 -- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 53 · 🔀 360 · 📦 2K · 📋 540 - 24% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/holoviz/datashader) (👨‍💻 53 · 🔀 360 · 📦 2K · 📋 540 - 24% open · ⏱️ 13.03.2023): ``` git clone https://github.com/holoviz/datashader ``` -- [PyPi](https://pypi.org/project/datashader) (📥 110K / month · 📦 110 · ⏱️ 02.02.2023): +- [PyPi](https://pypi.org/project/datashader) (📥 170K / month · 📦 110 · ⏱️ 02.02.2023): ``` pip install datashader ``` @@ -1048,18 +1048,18 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge datashader ```
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Graphviz (🥈33 · ⭐ 1.3K) - Simple Python interface for Graphviz. MIT +
Graphviz (🥈33 · ⭐ 1.4K) - Simple Python interface for Graphviz. MIT -- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 19 · 🔀 190 · 📦 44K · 📋 160 - 5% open · ⏱️ 30.01.2023): +- [GitHub](https://github.com/xflr6/graphviz) (👨‍💻 19 · 🔀 190 · 📦 45K · 📋 160 - 5% open · ⏱️ 30.01.2023): ``` git clone https://github.com/xflr6/graphviz ``` -- [PyPi](https://pypi.org/project/graphviz) (📥 8.4M / month · 📦 3.2K · ⏱️ 23.07.2022): +- [PyPi](https://pypi.org/project/graphviz) (📥 8.3M / month · 📦 3.2K · ⏱️ 23.07.2022): ``` pip install graphviz ``` -- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 35K · ⏱️ 10.08.2022): +- [Conda](https://anaconda.org/anaconda/python-graphviz) (📥 35K · ⏱️ 16.03.2023): ``` conda install -c anaconda python-graphviz ``` @@ -1080,26 +1080,14 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge wordcloud ```
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Facets Overview (🥈31 · ⭐ 7.1K) - Visualizations for machine learning datasets. Apache-2 - -- [GitHub](https://github.com/PAIR-code/facets) (👨‍💻 30 · 🔀 910 · 📦 170 · 📋 160 - 51% open · ⏱️ 18.02.2023): - - ``` - git clone https://github.com/pair-code/facets - ``` -- [PyPi](https://pypi.org/project/facets-overview) (📥 540K / month · 📦 8 · ⏱️ 30.01.2023): - ``` - pip install facets-overview - ``` -
missingno (🥈31 · ⭐ 3.5K) - Missing data visualization module for Python. MIT -- [GitHub](https://github.com/ResidentMario/missingno) (👨‍💻 18 · 🔀 440 · 📦 10K · 📋 130 - 7% open · ⏱️ 26.02.2023): +- [GitHub](https://github.com/ResidentMario/missingno) (👨‍💻 18 · 🔀 440 · 📦 10K · 📋 130 - 6% open · ⏱️ 26.02.2023): ``` git clone https://github.com/ResidentMario/missingno ``` -- [PyPi](https://pypi.org/project/missingno) (📥 450K / month · 📦 130 · ⏱️ 27.02.2022): +- [PyPi](https://pypi.org/project/missingno) (📥 440K / month · 📦 130 · ⏱️ 27.02.2022): ``` pip install missingno ``` @@ -1115,7 +1103,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/bqplot/bqplot ``` -- [PyPi](https://pypi.org/project/bqplot) (📥 150K / month · 📦 100 · ⏱️ 02.09.2022): +- [PyPi](https://pypi.org/project/bqplot) (📥 140K / month · 📦 100 · ⏱️ 02.09.2022): ``` pip install bqplot ``` @@ -1123,27 +1111,11 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge bqplot ``` -- [npm](https://www.npmjs.com/package/bqplot) (📥 4K / month · 📦 14 · ⏱️ 02.09.2022): +- [npm](https://www.npmjs.com/package/bqplot) (📥 3.5K / month · 📦 14 · ⏱️ 02.09.2022): ``` npm install bqplot ```
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plotnine (🥈31 · ⭐ 3.4K) - A grammar of graphics for Python. MIT - -- [GitHub](https://github.com/has2k1/plotnine) (👨‍💻 99 · 🔀 190 · 📋 560 - 15% open · ⏱️ 01.02.2023): - - ``` - git clone https://github.com/has2k1/plotnine - ``` -- [PyPi](https://pypi.org/project/plotnine) (📥 300K / month · 📦 240 · ⏱️ 29.09.2022): - ``` - pip install plotnine - ``` -- [Conda](https://anaconda.org/conda-forge/plotnine) (📥 240K · ⏱️ 28.02.2023): - ``` - conda install -c conda-forge plotnine - ``` -
mpld3 (🥈31 · ⭐ 2.2K) - D3 Renderings of Matplotlib Graphics. BSD-3 - [GitHub](https://github.com/mpld3/mpld3) (👨‍💻 51 · 🔀 350 · 📦 4.4K · 📋 360 - 59% open · ⏱️ 10.12.2022): @@ -1151,7 +1123,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/mpld3/mpld3 ``` -- [PyPi](https://pypi.org/project/mpld3) (📥 310K / month · 📦 400 · ⏱️ 10.12.2022): +- [PyPi](https://pypi.org/project/mpld3) (📥 290K / month · 📦 400 · ⏱️ 10.12.2022): ``` pip install mpld3 ``` @@ -1159,23 +1131,35 @@ _General-purpose and task-specific data visualization libraries._ ``` conda install -c conda-forge mpld3 ``` -- [npm](https://www.npmjs.com/package/mpld3) (📥 780 / month · 📦 5 · ⏱️ 10.12.2022): +- [npm](https://www.npmjs.com/package/mpld3) (📥 760 / month · 📦 7 · ⏱️ 10.12.2022): ``` npm install mpld3 ```
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Perspective (🥉30 · ⭐ 5.3K) - A data visualization and analytics component, especially.. Apache-2 +
Facets Overview (🥈30 · ⭐ 7.1K) - Visualizations for machine learning datasets. Apache-2 -- [GitHub](https://github.com/finos/perspective) (👨‍💻 80 · 🔀 610 · 📦 8 · 📋 610 - 16% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/PAIR-code/facets) (👨‍💻 30 · 🔀 910 · 📦 170 · 📋 160 - 51% open · ⏱️ 18.02.2023): + + ``` + git clone https://github.com/pair-code/facets + ``` +- [PyPi](https://pypi.org/project/facets-overview) (📥 370K / month · 📦 8 · ⏱️ 30.01.2023): + ``` + pip install facets-overview + ``` +
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Perspective (🥈30 · ⭐ 5.3K) - A data visualization and analytics component, especially.. Apache-2 + +- [GitHub](https://github.com/finos/perspective) (👨‍💻 82 · 🔀 610 · 📦 8 · 📋 610 - 16% open · ⏱️ 10.03.2023): ``` git clone https://github.com/finos/perspective ``` -- [PyPi](https://pypi.org/project/perspective-python) (📥 3.2K / month · 📦 10 · ⏱️ 20.01.2023): +- [PyPi](https://pypi.org/project/perspective-python) (📥 3.3K / month · 📦 10 · ⏱️ 20.01.2023): ``` pip install perspective-python ``` -- [Conda](https://anaconda.org/conda-forge/perspective) (📥 270K · ⏱️ 27.02.2023): +- [Conda](https://anaconda.org/conda-forge/perspective) (📥 280K · ⏱️ 27.02.2023): ``` conda install -c conda-forge perspective ``` @@ -1184,14 +1168,14 @@ _General-purpose and task-specific data visualization libraries._ npm install @finos/perspective-jupyterlab ```
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D-Tale (🥉30 · ⭐ 3.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1 +
D-Tale (🥈30 · ⭐ 3.9K) - Visualizer for pandas data structures. ❗️LGPL-2.1 - [GitHub](https://github.com/man-group/dtale) (👨‍💻 29 · 🔀 330 · 📦 640 · 📋 500 - 7% open · ⏱️ 06.03.2023): ``` git clone https://github.com/man-group/dtale ``` -- [PyPi](https://pypi.org/project/dtale) (📥 130K / month · 📦 14 · ⏱️ 17.06.2022): +- [PyPi](https://pypi.org/project/dtale) (📥 150K / month · 📦 14 · ⏱️ 17.06.2022): ``` pip install dtale ``` @@ -1200,6 +1184,22 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge dtale ```
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hvPlot (🥈30 · ⭐ 720) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 + +- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 39 · 🔀 83 · 📦 2.5K · 📋 610 - 41% open · ⏱️ 16.03.2023): + + ``` + git clone https://github.com/holoviz/hvplot + ``` +- [PyPi](https://pypi.org/project/hvplot) (📥 130K / month · 📦 80 · ⏱️ 24.11.2022): + ``` + pip install hvplot + ``` +- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 330K · ⏱️ 25.11.2022): + ``` + conda install -c conda-forge hvplot + ``` +
pythreejs (🥉29 · ⭐ 860) - A Jupyter - Three.js bridge. BSD-3 - [GitHub](https://github.com/jupyter-widgets/pythreejs) (👨‍💻 30 · 🔀 180 · 📦 24 · 📋 230 - 25% open · ⏱️ 20.02.2023): @@ -1207,11 +1207,11 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/jupyter-widgets/pythreejs ``` -- [PyPi](https://pypi.org/project/pythreejs) (📥 84K / month · 📦 52 · ⏱️ 20.02.2023): +- [PyPi](https://pypi.org/project/pythreejs) (📥 83K / month · 📦 52 · ⏱️ 20.02.2023): ``` pip install pythreejs ``` -- [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 460K · ⏱️ 06.09.2022): +- [Conda](https://anaconda.org/conda-forge/pythreejs) (📥 470K · ⏱️ 06.09.2022): ``` conda install -c conda-forge pythreejs ``` @@ -1220,37 +1220,37 @@ _General-purpose and task-specific data visualization libraries._ npm install jupyter-threejs ```
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hvPlot (🥉29 · ⭐ 720) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3 +
data-validation (🥉29 · ⭐ 700) - Library for exploring and validating machine learning.. Apache-2 -- [GitHub](https://github.com/holoviz/hvplot) (👨‍💻 39 · 🔀 83 · 📦 2.5K · 📋 610 - 41% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 25 · 🔀 140 · 📥 390 · 📦 640 · 📋 170 - 21% open · ⏱️ 14.03.2023): ``` - git clone https://github.com/holoviz/hvplot - ``` -- [PyPi](https://pypi.org/project/hvplot) (📥 150K / month · 📦 80 · ⏱️ 24.11.2022): - ``` - pip install hvplot + git clone https://github.com/tensorflow/data-validation ``` -- [Conda](https://anaconda.org/conda-forge/hvplot) (📥 330K · ⏱️ 25.11.2022): +- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 890K / month · 📦 28 · ⏱️ 08.12.2022): ``` - conda install -c conda-forge hvplot + pip install tensorflow-data-validation ```
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data-validation (🥉29 · ⭐ 700) - Library for exploring and validating machine learning.. Apache-2 +
pandas-profiling (🥉27 · ⭐ 10K · 📉) - Deprecated pandas-profiling package, use ydata-.. MIT -- [GitHub](https://github.com/tensorflow/data-validation) (👨‍💻 25 · 🔀 140 · 📥 390 · 📦 640 · 📋 170 - 21% open · ⏱️ 08.03.2023): +- [GitHub]() (👨‍💻 110 · 🔀 1.5K · 📦 130): ``` - git clone https://github.com/tensorflow/data-validation + git clone https://github.com/ydataai/pandas-profiling ``` -- [PyPi](https://pypi.org/project/tensorflow-data-validation) (📥 1M / month · 📦 28 · ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/pandas-profiling) (📥 1.1M / month · 📦 180 · ⏱️ 31.01.2023): ``` - pip install tensorflow-data-validation + pip install pandas-profiling + ``` +- [Conda](https://anaconda.org/conda-forge/pandas-profiling) (📥 350K · ⏱️ 25.01.2023): + ``` + conda install -c conda-forge pandas-profiling ```
openTSNE (🥉27 · ⭐ 1.1K) - Extensible, parallel implementations of t-SNE. BSD-3 -- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 11 · 🔀 140 · 📦 520 · 📋 120 - 0% open · ⏱️ 20.02.2023): +- [GitHub](https://github.com/pavlin-policar/openTSNE) (👨‍💻 11 · 🔀 140 · 📦 520 · 📋 120 - 1% open · ⏱️ 20.02.2023): ``` git clone https://github.com/pavlin-policar/openTSNE @@ -1264,26 +1264,30 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge opentsne ```
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lets-plot (🥉27 · ⭐ 850) - An open-source plotting library for statistical data. MIT +
Chartify (🥉26 · ⭐ 3.3K) - Python library that makes it easy for data scientists to create.. Apache-2 -- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 18 · 🔀 44 · 📥 400 · 📦 22 · 📋 330 - 24% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/spotify/chartify) (👨‍💻 25 · 🔀 300 · 📦 71 · 📋 76 - 59% open · ⏱️ 13.12.2022): ``` - git clone https://github.com/JetBrains/lets-plot + git clone https://github.com/spotify/chartify ``` -- [PyPi](https://pypi.org/project/lets-plot) (📥 4.8K / month · 📦 1 · ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/chartify) (📥 3.8K / month · 📦 9 · ⏱️ 13.12.2022): ``` - pip install lets-plot + pip install chartify + ``` +- [Conda](https://anaconda.org/conda-forge/chartify) (📥 25K · ⏱️ 07.11.2020): + ``` + conda install -c conda-forge chartify ```
AutoViz (🥉26 · ⭐ 1.3K) - Automatically Visualize any dataset, any size with a single line of.. Apache-2 -- [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 14 · 🔀 160 · 📦 370 · 📋 67 - 7% open · ⏱️ 30.12.2022): +- [GitHub](https://github.com/AutoViML/AutoViz) (👨‍💻 14 · 🔀 160 · 📦 370 · 📋 67 - 5% open · ⏱️ 30.12.2022): ``` git clone https://github.com/AutoViML/AutoViz ``` -- [PyPi](https://pypi.org/project/autoviz) (📥 280K / month · 📦 7 · ⏱️ 03.10.2022): +- [PyPi](https://pypi.org/project/autoviz) (📥 270K / month · 📦 7 · ⏱️ 03.10.2022): ``` pip install autoviz ``` @@ -1292,20 +1296,16 @@ _General-purpose and task-specific data visualization libraries._ conda install -c conda-forge autoviz ```
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Chartify (🥉25 · ⭐ 3.3K) - Python library that makes it easy for data scientists to create.. Apache-2 +
lets-plot (🥉26 · ⭐ 850) - An open-source plotting library for statistical data. MIT -- [GitHub](https://github.com/spotify/chartify) (👨‍💻 25 · 🔀 300 · 📦 71 · 📋 76 - 59% open · ⏱️ 13.12.2022): +- [GitHub](https://github.com/JetBrains/lets-plot) (👨‍💻 18 · 🔀 43 · 📥 400 · 📦 24 · 📋 340 - 23% open · ⏱️ 15.03.2023): ``` - git clone https://github.com/spotify/chartify - ``` -- [PyPi](https://pypi.org/project/chartify) (📥 3.7K / month · 📦 9 · ⏱️ 13.12.2022): - ``` - pip install chartify + git clone https://github.com/JetBrains/lets-plot ``` -- [Conda](https://anaconda.org/conda-forge/chartify) (📥 25K · ⏱️ 07.11.2020): +- [PyPi](https://pypi.org/project/lets-plot) (📥 5.2K / month · 📦 1 · ⏱️ 15.12.2022): ``` - conda install -c conda-forge chartify + pip install lets-plot ```
Pandas-Bokeh (🥉25 · ⭐ 840) - Bokeh Plotting Backend for Pandas and GeoPandas. MIT @@ -1315,7 +1315,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/PatrikHlobil/Pandas-Bokeh ``` -- [PyPi](https://pypi.org/project/pandas-bokeh) (📥 26K / month · 📦 11 · ⏱️ 11.04.2021): +- [PyPi](https://pypi.org/project/pandas-bokeh) (📥 28K / month · 📦 11 · ⏱️ 11.04.2021): ``` pip install pandas-bokeh ``` @@ -1327,7 +1327,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/facebookresearch/hiplot ``` -- [PyPi](https://pypi.org/project/hiplot) (📥 38K / month · 📦 12 · ⏱️ 27.10.2022): +- [PyPi](https://pypi.org/project/hiplot) (📥 37K / month · 📦 12 · ⏱️ 27.10.2022): ``` pip install hiplot ``` @@ -1338,16 +1338,16 @@ _General-purpose and task-specific data visualization libraries._
Plotly-Resampler (🥉24 · ⭐ 670) - Visualize large time series data with plotly.py. MIT -- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 10 · 🔀 43 · 📦 130 · 📋 95 - 31% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/predict-idlab/plotly-resampler) (👨‍💻 10 · 🔀 44 · 📦 140 · 📋 95 - 31% open · ⏱️ 08.03.2023): ``` git clone https://github.com/predict-idlab/plotly-resampler ``` -- [PyPi](https://pypi.org/project/plotly-resampler) (📥 130K / month · 📦 4 · ⏱️ 29.06.2022): +- [PyPi](https://pypi.org/project/plotly-resampler) (📥 160K / month · 📦 4 · ⏱️ 29.06.2022): ``` pip install plotly-resampler ``` -- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 12K · ⏱️ 09.03.2023): +- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (📥 13K · ⏱️ 09.03.2023): ``` conda install -c conda-forge plotly-resampler ``` @@ -1375,7 +1375,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/fbdesignpro/sweetviz ``` -- [PyPi](https://pypi.org/project/sweetviz) (📥 78K / month · 📦 8 · ⏱️ 14.06.2022): +- [PyPi](https://pypi.org/project/sweetviz) (📥 77K / month · 📦 8 · ⏱️ 14.06.2022): ``` pip install sweetviz ``` @@ -1386,12 +1386,12 @@ _General-purpose and task-specific data visualization libraries._
Popmon (🥉22 · ⭐ 430) - Monitor the stability of a Pandas or Spark dataframe. MIT -- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 16 · 🔀 31 · 📥 42 · 📦 19 · 📋 49 - 30% open · ⏱️ 15.02.2023): +- [GitHub](https://github.com/ing-bank/popmon) (👨‍💻 16 · 🔀 31 · 📥 43 · 📦 19 · 📋 49 - 30% open · ⏱️ 15.02.2023): ``` git clone https://github.com/ing-bank/popmon ``` -- [PyPi](https://pypi.org/project/popmon) (📥 19K / month · 📦 2 · ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/popmon) (📥 17K / month · 📦 2 · ⏱️ 19.10.2022): ``` pip install popmon ``` @@ -1403,7 +1403,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/marcharper/python-ternary ``` -- [PyPi](https://pypi.org/project/python-ternary) (📥 56K / month · 📦 21 · ⏱️ 17.02.2021): +- [PyPi](https://pypi.org/project/python-ternary) (📥 58K / month · 📦 21 · ⏱️ 17.02.2021): ``` pip install python-ternary ``` @@ -1419,7 +1419,7 @@ _General-purpose and task-specific data visualization libraries._ ``` git clone https://github.com/gyli/PyWaffle ``` -- [PyPi](https://pypi.org/project/pywaffle) (📥 3.7K / month · 📦 2 · ⏱️ 08.06.2022): +- [PyPi](https://pypi.org/project/pywaffle) (📥 3.4K / month · 📦 2 · ⏱️ 08.06.2022): ``` pip install pywaffle ``` @@ -1430,19 +1430,19 @@ _General-purpose and task-specific data visualization libraries._
Show 15 hidden projects... -- cartopy (🥈32 · ⭐ 1.2K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 +- cartopy (🥈33 · ⭐ 1.2K) - Cartopy - a cartographic python library with matplotlib support. ❗️LGPL-3.0 - Cufflinks (🥉29 · ⭐ 2.8K · 💀) - Productivity Tools for Plotly + Pandas. MIT - PandasGUI (🥉25 · ⭐ 2.9K · 💤) - A GUI for Pandas DataFrames. ❗️MIT-0 - HyperTools (🥉25 · ⭐ 1.8K · 💀) - A Python toolbox for gaining geometric insights into high-.. MIT - PDPbox (🥉24 · ⭐ 730 · 💀) - python partial dependence plot toolbox. MIT - Multicore-TSNE (🥉23 · ⭐ 1.8K · 💀) - Parallel t-SNE implementation with Python and Torch.. BSD-3 -- pivottablejs (🥉22 · ⭐ 520 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT +- pivottablejs (🥉23 · ⭐ 540 · 💀) - Dragndrop Pivot Tables and Charts for Jupyter/IPython.. MIT - joypy (🥉21 · ⭐ 480 · 💀) - Joyplots in Python with matplotlib & pandas. MIT - ivis (🥉20 · ⭐ 300) - Dimensionality reduction in very large datasets using Siamese.. Apache-2 - vegafusion (🥉20 · ⭐ 160) - Serverside scaling for the Vega and Altair visualizations. BSD-3 - animatplot (🥉18 · ⭐ 400 · 💀) - A python package for animating plots build on matplotlib. MIT - data-describe (🥉18 · ⭐ 290 · 💀) - datadescribe: Pythonic EDA Accelerator for Data Science. Apache-2 -- pdvega (🥉17 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT +- pdvega (🥉16 · ⭐ 340 · 💀) - Interactive plotting for Pandas using Vega-Lite. MIT - nx-altair (🥉16 · ⭐ 210 · 💀) - Draw interactive NetworkX graphs with Altair. MIT - nptsne (🥉12 · ⭐ 30 · 💀) - nptsne is a numpy compatible python binary package that offers a.. Apache-2
@@ -1454,69 +1454,69 @@ _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 (🥇49 · ⭐ 84K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 +
transformers (🥇49 · ⭐ 85K) - Transformers: State-of-the-art Machine Learning for.. Apache-2 -- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 1.8K · 🔀 18K · 📥 410 · 📦 58K · 📋 11K - 4% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/huggingface/transformers) (👨‍💻 1.8K · 🔀 19K · 📥 410 · 📦 59K · 📋 11K - 5% open · ⏱️ 16.03.2023): ``` git clone https://github.com/huggingface/transformers ``` -- [PyPi](https://pypi.org/project/transformers) (📥 11M / month · 📦 1.4K · ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/transformers) (📥 12M / month · 📦 1.5K · ⏱️ 24.01.2023): ``` pip install transformers ``` -- [Conda](https://anaconda.org/conda-forge/transformers) (📥 910K · ⏱️ 11.02.2023): +- [Conda](https://anaconda.org/conda-forge/transformers) (📥 940K · ⏱️ 16.03.2023): ``` conda install -c conda-forge transformers ```
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spaCy (🥇44 · ⭐ 25K) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +
nltk (🥇44 · ⭐ 12K) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 720 · 🔀 4K · 📦 55K · 📋 5.4K - 1% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/nltk/nltk) (👨‍💻 440 · 🔀 2.7K · 📦 180K · 📋 1.7K - 13% open · ⏱️ 13.03.2023): ``` - git clone https://github.com/explosion/spaCy + git clone https://github.com/nltk/nltk ``` -- [PyPi](https://pypi.org/project/spacy) (📥 5M / month · 📦 2.6K · ⏱️ 20.01.2023): +- [PyPi](https://pypi.org/project/nltk) (📥 11M / month · 📦 12K · ⏱️ 02.01.2023): ``` - pip install spacy + pip install nltk ``` -- [Conda](https://anaconda.org/conda-forge/spacy) (📥 3M · ⏱️ 24.01.2023): +- [Conda](https://anaconda.org/conda-forge/nltk) (📥 1.8M · ⏱️ 02.01.2023): ``` - conda install -c conda-forge spacy + conda install -c conda-forge nltk ```
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nltk (🥇44 · ⭐ 12K · 📉) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 +
spaCy (🥇42 · ⭐ 26K · 📉) - Industrial-strength Natural Language Processing (NLP) in Python. MIT -- [GitHub](https://github.com/nltk/nltk) (👨‍💻 440 · 🔀 2.7K · 📦 180K · 📋 1.7K - 13% open · ⏱️ 20.02.2023): +- [GitHub](https://github.com/explosion/spaCy) (👨‍💻 720 · 🔀 4K · 📋 5.4K - 1% open · ⏱️ 14.03.2023): ``` - git clone https://github.com/nltk/nltk + git clone https://github.com/explosion/spaCy ``` -- [PyPi](https://pypi.org/project/nltk) (📥 11M / month · 📦 12K · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/spacy) (📥 5.2M / month · 📦 2.6K · ⏱️ 20.01.2023): ``` - pip install nltk + pip install spacy ``` -- [Conda](https://anaconda.org/conda-forge/nltk) (📥 1.8M · ⏱️ 02.01.2023): +- [Conda](https://anaconda.org/conda-forge/spacy) (📥 3M · ⏱️ 13.03.2023): ``` - conda install -c conda-forge nltk + conda install -c conda-forge spacy ```
Rasa (🥇41 · ⭐ 16K) - Open source machine learning framework to automate text- and voice-.. Apache-2 -- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 580 · 🔀 4.3K · 📦 3.1K · 📋 6.8K - 1% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/RasaHQ/rasa) (👨‍💻 580 · 🔀 4.3K · 📦 3.1K · 📋 6.8K - 1% open · ⏱️ 16.03.2023): ``` git clone https://github.com/RasaHQ/rasa ``` -- [PyPi](https://pypi.org/project/rasa) (📥 130K / month · 📦 65 · ⏱️ 27.01.2023): +- [PyPi](https://pypi.org/project/rasa) (📥 140K / month · 📦 65 · ⏱️ 27.01.2023): ``` pip install rasa ```
gensim (🥇41 · ⭐ 14K) - Topic Modelling for Humans. ❗️LGPL-2.1 -- [GitHub](https://github.com/RaRe-Technologies/gensim) (👨‍💻 440 · 🔀 4.3K · 📥 4.3K · 📦 43K · 📋 1.8K - 21% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/RaRe-Technologies/gensim) (👨‍💻 440 · 🔀 4.3K · 📥 4.3K · 📦 43K · 📋 1.8K - 21% open · ⏱️ 13.03.2023): ``` git clone https://github.com/RaRe-Technologies/gensim @@ -1525,19 +1525,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install gensim ``` -- [Conda](https://anaconda.org/conda-forge/gensim) (📥 990K · ⏱️ 21.12.2022): +- [Conda](https://anaconda.org/conda-forge/gensim) (📥 1M · ⏱️ 21.12.2022): ``` conda install -c conda-forge gensim ```
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flair (🥇39 · ⭐ 13K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT +
flair (🥇40 · ⭐ 13K · 📈) - A very simple framework for state-of-the-art Natural Language.. MIT -- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 240 · 🔀 2K · 📦 2.3K · 📋 2.1K - 3% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/flairNLP/flair) (👨‍💻 240 · 🔀 2K · 📦 2.3K · 📋 2.1K - 3% open · ⏱️ 14.03.2023): ``` git clone https://github.com/flairNLP/flair ``` -- [PyPi](https://pypi.org/project/flair) (📥 87K / month · 📦 90 · ⏱️ 20.05.2022): +- [PyPi](https://pypi.org/project/flair) (📥 91K / month · 📦 90 · ⏱️ 20.05.2022): ``` pip install flair ``` @@ -1546,14 +1546,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge python-flair ```
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fairseq (🥇37 · ⭐ 21K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT +
fairseq (🥇36 · ⭐ 21K · 📉) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT - [GitHub](https://github.com/facebookresearch/fairseq) (👨‍💻 410 · 🔀 5.3K · 📥 300 · 📦 1.3K · 📋 3.9K - 23% open · ⏱️ 23.02.2023): ``` git clone https://github.com/facebookresearch/fairseq ``` -- [PyPi](https://pypi.org/project/fairseq) (📥 67K / month · 📦 48 · ⏱️ 27.06.2022): +- [PyPi](https://pypi.org/project/fairseq) (📥 76K / month · 📦 49 · ⏱️ 27.06.2022): ``` pip install fairseq ``` @@ -1562,14 +1562,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge fairseq ```
+
AllenNLP (🥇36 · ⭐ 11K) - An open-source NLP research library, built on PyTorch. Apache-2 + +- [GitHub](https://github.com/allenai/allennlp) (👨‍💻 260 · 🔀 2.2K · 📥 54 · 📦 3.3K · 📋 2.6K - 3% open · ⏱️ 22.11.2022): + + ``` + git clone https://github.com/allenai/allennlp + ``` +- [PyPi](https://pypi.org/project/allennlp) (📥 58K / month · 📦 180 · ⏱️ 18.10.2022): + ``` + pip install allennlp + ``` +- [Conda](https://anaconda.org/conda-forge/allennlp) (📥 99K · ⏱️ 15.07.2022): + ``` + conda install -c conda-forge allennlp + ``` +
spark-nlp (🥇36 · ⭐ 3.1K) - State of the Art Natural Language Processing. Apache-2 -- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 140 · 🔀 640 · 📦 250 · 📋 780 - 5% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (👨‍💻 140 · 🔀 640 · 📦 250 · 📋 780 - 4% open · ⏱️ 16.03.2023): ``` git clone https://github.com/JohnSnowLabs/spark-nlp ``` -- [PyPi](https://pypi.org/project/spark-nlp) (📥 2.9M / month · 📦 18 · ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/spark-nlp) (📥 3M / month · 📦 18 · ⏱️ 24.01.2023): ``` pip install spark-nlp ``` @@ -1581,66 +1597,62 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/fastText ``` -- [PyPi](https://pypi.org/project/fasttext) (📥 990K / month · 📦 190 · ⏱️ 28.04.2020): +- [PyPi](https://pypi.org/project/fasttext) (📥 970K / month · 📦 190 · ⏱️ 28.04.2020): ``` pip install fasttext ``` -- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 49K · ⏱️ 01.11.2022): +- [Conda](https://anaconda.org/conda-forge/fasttext) (📥 50K · ⏱️ 01.11.2022): ``` conda install -c conda-forge fasttext ```
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AllenNLP (🥈35 · ⭐ 11K) - An open-source NLP research library, built on PyTorch. Apache-2 +
TextBlob (🥈35 · ⭐ 8.5K · 📉) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT -- [GitHub](https://github.com/allenai/allennlp) (👨‍💻 260 · 🔀 2.2K · 📥 54 · 📦 3.3K · 📋 2.6K - 3% open · ⏱️ 22.11.2022): +- [GitHub](https://github.com/sloria/TextBlob) (👨‍💻 36 · 🔀 1.1K · 📥 100 · 📦 28K · 📋 270 - 41% open · ⏱️ 11.03.2023): ``` - git clone https://github.com/allenai/allennlp + git clone https://github.com/sloria/TextBlob ``` -- [PyPi](https://pypi.org/project/allennlp) (📥 55K / month · 📦 180 · ⏱️ 18.10.2022): +- [PyPi](https://pypi.org/project/textblob) (📥 1M / month · 📦 1.4K · ⏱️ 22.10.2021): ``` - pip install allennlp + pip install textblob ``` -- [Conda](https://anaconda.org/conda-forge/allennlp) (📥 99K · ⏱️ 15.07.2022): +- [Conda](https://anaconda.org/conda-forge/textblob) (📥 210K · ⏱️ 24.02.2019): ``` - conda install -c conda-forge allennlp + conda install -c conda-forge textblob ```
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sentencepiece (🥈35 · ⭐ 6.7K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 +
torchtext (🥈35 · ⭐ 3.2K) - Models, data loaders and abstractions for language processing,.. BSD-3 -- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 74 · 🔀 890 · 📥 24K · 📦 25K · 📋 580 - 4% open · ⏱️ 21.02.2023): +- [GitHub](https://github.com/pytorch/text) (👨‍💻 140 · 🔀 780 · 📋 790 - 37% open · ⏱️ 09.03.2023): ``` - git clone https://github.com/google/sentencepiece - ``` -- [PyPi](https://pypi.org/project/sentencepiece) (📥 8.7M / month · 📦 580 · ⏱️ 07.08.2022): - ``` - pip install sentencepiece + git clone https://github.com/pytorch/text ``` -- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 350K · ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/torchtext) (📥 450K / month · 📦 460 · ⏱️ 15.12.2022): ``` - conda install -c conda-forge sentencepiece + pip install torchtext ```
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sentence-transformers (🥈34 · ⭐ 9.6K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 +
sentence-transformers (🥈34 · ⭐ 9.7K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2 -- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 110 · 🔀 1.9K · 📦 6.5K · 📋 1.7K - 54% open · ⏱️ 26.01.2023): +- [GitHub](https://github.com/UKPLab/sentence-transformers) (👨‍💻 110 · 🔀 1.9K · 📦 6.6K · 📋 1.7K - 54% open · ⏱️ 26.01.2023): ``` git clone https://github.com/UKPLab/sentence-transformers ``` -- [PyPi](https://pypi.org/project/sentence-transformers) (📥 1.8M / month · 📦 230 · ⏱️ 26.06.2022): +- [PyPi](https://pypi.org/project/sentence-transformers) (📥 1.9M / month · 📦 230 · ⏱️ 26.06.2022): ``` pip install sentence-transformers ``` -- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 88K · ⏱️ 27.06.2022): +- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (📥 90K · ⏱️ 27.06.2022): ``` conda install -c conda-forge sentence-transformers ```
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haystack (🥈34 · ⭐ 7.2K) - Haystack is an open source NLP framework to interact with your data.. Apache-2 +
haystack (🥈34 · ⭐ 7.3K) - Haystack is an open source NLP framework to interact with your data.. Apache-2 -- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 160 · 🔀 1.1K · 📥 19 · 📦 570 · 📋 2K - 17% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/deepset-ai/haystack) (👨‍💻 160 · 🔀 1.1K · 📥 19 · 📦 580 · 📋 2K - 16% open · ⏱️ 16.03.2023): ``` git clone https://github.com/deepset-ai/haystack @@ -1650,78 +1662,98 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install haystack ```
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Tokenizers (🥈34 · ⭐ 6.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 +
sentencepiece (🥈34 · ⭐ 6.8K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2 -- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 66 · 🔀 550 · 📦 56 · 📋 740 - 32% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/google/sentencepiece) (👨‍💻 74 · 🔀 890 · 📥 25K · 📦 25K · 📋 590 - 4% open · ⏱️ 21.02.2023): + + ``` + git clone https://github.com/google/sentencepiece + ``` +- [PyPi](https://pypi.org/project/sentencepiece) (📥 8.9M / month · 📦 580 · ⏱️ 07.08.2022): + ``` + pip install sentencepiece + ``` +- [Conda](https://anaconda.org/conda-forge/sentencepiece) (📥 360K · ⏱️ 15.02.2023): + ``` + conda install -c conda-forge sentencepiece + ``` +
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Tokenizers (🥈34 · ⭐ 6.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2 + +- [GitHub](https://github.com/huggingface/tokenizers) (👨‍💻 66 · 🔀 560 · 📦 56 · 📋 740 - 32% open · ⏱️ 15.03.2023): ``` git clone https://github.com/huggingface/tokenizers ``` -- [PyPi](https://pypi.org/project/tokenizers) (📥 9.8M / month · 📦 180 · ⏱️ 07.11.2022): +- [PyPi](https://pypi.org/project/tokenizers) (📥 10M / month · 📦 180 · ⏱️ 07.11.2022): ``` pip install tokenizers ``` -- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 870K · ⏱️ 26.01.2023): +- [Conda](https://anaconda.org/conda-forge/tokenizers) (📥 900K · ⏱️ 26.01.2023): ``` conda install -c conda-forge tokenizers ```
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NeMo (🥈34 · ⭐ 5.8K) - NeMo: a toolkit for conversational AI. Apache-2 +
stanza (🥈34 · ⭐ 6.5K · 📈) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 -- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 210 · 🔀 1.4K · 📥 28K · 📋 1.5K - 5% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 58 · 🔀 850 · 📦 1.7K · 📋 780 - 11% open · ⏱️ 14.03.2023): ``` - git clone https://github.com/NVIDIA/NeMo + git clone https://github.com/stanfordnlp/stanza ``` -- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 24K / month · 📦 10 · ⏱️ 01.07.2022): +- [PyPi](https://pypi.org/project/stanza) (📥 170K / month · 📦 84 · ⏱️ 20.09.2022): ``` - pip install nemo-toolkit + pip install stanza + ``` +- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 6.3K · ⏱️ 14.09.2022): + ``` + conda install -c stanfordnlp stanza ```
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torchtext (🥈34 · ⭐ 3.2K) - Models, data loaders and abstractions for language processing,.. BSD-3 +
NeMo (🥈34 · ⭐ 5.9K) - NeMo: a toolkit for conversational AI. Apache-2 -- [GitHub](https://github.com/pytorch/text) (👨‍💻 140 · 🔀 780 · 📋 800 - 38% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/NVIDIA/NeMo) (👨‍💻 210 · 🔀 1.4K · 📥 29K · 📋 1.5K - 5% open · ⏱️ 16.03.2023): ``` - git clone https://github.com/pytorch/text + git clone https://github.com/NVIDIA/NeMo ``` -- [PyPi](https://pypi.org/project/torchtext) (📥 430K / month · 📦 450 · ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/nemo-toolkit) (📥 25K / month · 📦 10 · ⏱️ 01.07.2022): ``` - pip install torchtext + pip install nemo-toolkit ```
TensorFlow Text (🥈34 · ⭐ 1K) - Making text a first-class citizen in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/text) (👨‍💻 100 · 🔀 270 · 📦 4.9K · 📋 260 - 41% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/tensorflow/text) (👨‍💻 100 · 🔀 270 · 📦 4.9K · 📋 260 - 42% open · ⏱️ 14.03.2023): ``` git clone https://github.com/tensorflow/text ``` -- [PyPi](https://pypi.org/project/tensorflow-text) (📥 3.4M / month · 📦 100 · ⏱️ 18.11.2022): +- [PyPi](https://pypi.org/project/tensorflow-text) (📥 3.3M / month · 📦 100 · ⏱️ 18.11.2022): ``` pip install tensorflow-text ```
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ParlAI (🥈33 · ⭐ 9.8K) - A framework for training and evaluating AI models on a variety of.. MIT +
ParlAI (🥈33 · ⭐ 9.9K) - A framework for training and evaluating AI models on a variety of.. MIT -- [GitHub](https://github.com/facebookresearch/ParlAI) (👨‍💻 200 · 🔀 2K · 📦 170 · 📋 1.5K - 4% open · ⏱️ 24.02.2023): +- [GitHub](https://github.com/facebookresearch/ParlAI) (👨‍💻 200 · 🔀 2K · 📦 170 · 📋 1.5K - 4% open · ⏱️ 09.03.2023): ``` git clone https://github.com/facebookresearch/ParlAI ``` -- [PyPi](https://pypi.org/project/parlai) (📥 3K / month · 📦 3 · ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/parlai) (📥 3.1K / month · 📦 3 · ⏱️ 20.09.2022): ``` pip install parlai ```
OpenNMT (🥈33 · ⭐ 5.9K) - Open Source Neural Machine Translation in PyTorch. MIT -- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 190 · 🔀 2.2K · 📦 170 · 📋 1.4K - 1% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/OpenNMT/OpenNMT-py) (👨‍💻 190 · 🔀 2.2K · 📦 180 · 📋 1.4K - 1% open · ⏱️ 16.03.2023): ``` git clone https://github.com/OpenNMT/OpenNMT-py ``` -- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 6.3K / month · 📦 9 · ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/OpenNMT-py) (📥 6.2K / month · 📦 9 · ⏱️ 19.12.2022): ``` pip install OpenNMT-py ``` @@ -1733,7 +1765,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dedupeio/dedupe ``` -- [PyPi](https://pypi.org/project/dedupe) (📥 130K / month · 📦 49 · ⏱️ 18.01.2023): +- [PyPi](https://pypi.org/project/dedupe) (📥 140K / month · 📦 49 · ⏱️ 18.01.2023): ``` pip install dedupe ``` @@ -1742,25 +1774,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge dedupe ```
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stanza (🥈31 · ⭐ 6.5K) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 - -- [GitHub](https://github.com/stanfordnlp/stanza) (👨‍💻 54 · 🔀 840 · 📦 1.6K · 📋 760 - 11% open · ⏱️ 15.09.2022): - - ``` - git clone https://github.com/stanfordnlp/stanza - ``` -- [PyPi](https://pypi.org/project/stanza) (📥 170K / month · 📦 83 · ⏱️ 20.09.2022): - ``` - pip install stanza - ``` -- [Conda](https://anaconda.org/stanfordnlp/stanza) (📥 6.3K · ⏱️ 14.09.2022): - ``` - conda install -c stanfordnlp stanza - ``` -
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DeepPavlov (🥈31 · ⭐ 6.1K) - An open source library for deep learning end-to-end dialog.. Apache-2 +
DeepPavlov (🥈32 · ⭐ 6.1K) - An open source library for deep learning end-to-end dialog.. Apache-2 -- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨‍💻 73 · 🔀 1.1K · 📦 330 · 📋 620 - 8% open · ⏱️ 17.02.2023): +- [GitHub](https://github.com/deeppavlov/DeepPavlov) (👨‍💻 73 · 🔀 1.1K · 📦 330 · 📋 620 - 8% open · ⏱️ 14.03.2023): ``` git clone https://github.com/deepmipt/DeepPavlov @@ -1772,28 +1788,28 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
jellyfish (🥈31 · ⭐ 1.8K) - a python library for doing approximate and phonetic matching of.. BSD-2 -- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 28 · 🔀 150 · 📦 5.4K · 📋 120 - 10% open · ⏱️ 03.02.2023): +- [GitHub](https://github.com/jamesturk/jellyfish) (👨‍💻 28 · 🔀 150 · 📦 5.4K · 📋 120 - 8% open · ⏱️ 03.02.2023): ``` git clone https://github.com/jamesturk/jellyfish ``` -- [PyPi](https://pypi.org/project/jellyfish) (📥 2.6M / month · 📦 410 · ⏱️ 07.01.2022): +- [PyPi](https://pypi.org/project/jellyfish) (📥 2.6M / month · 📦 430 · ⏱️ 07.01.2022): ``` pip install jellyfish ``` -- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 490K · ⏱️ 28.10.2022): +- [Conda](https://anaconda.org/conda-forge/jellyfish) (📥 500K · ⏱️ 28.10.2022): ``` conda install -c conda-forge jellyfish ```
snowballstemmer (🥈31 · ⭐ 650) - Snowball compiler and stemming algorithms. BSD-3 -- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 30 · 🔀 160 · 📦 4 · 📋 78 - 35% open · ⏱️ 16.11.2022): +- [GitHub](https://github.com/snowballstem/snowball) (👨‍💻 30 · 🔀 170 · 📦 4 · 📋 80 - 37% open · ⏱️ 16.11.2022): ``` git clone https://github.com/snowballstem/snowball ``` -- [PyPi](https://pypi.org/project/snowballstemmer) (📥 9M / month · 📦 6.7K · ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/snowballstemmer) (📥 8.9M / month · 📦 6.8K · ⏱️ 16.11.2021): ``` pip install snowballstemmer ``` @@ -1802,14 +1818,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge snowballstemmer ```
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rubrix (🥈30 · ⭐ 1.7K) - Argilla: Open-source platform empowering teams to make better LLM and.. Apache-2 + +- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 42 · 🔀 150 · 📦 44 · 📋 950 - 19% open · ⏱️ 16.03.2023): + + ``` + git clone https://github.com/recognai/rubrix + ``` +- [PyPi](https://pypi.org/project/rubrix) (📥 800 / month · ⏱️ 24.10.2022): + ``` + pip install rubrix + ``` +- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 18K · ⏱️ 06.10.2022): + ``` + conda install -c conda-forge rubrix + ``` +
spacy-transformers (🥈30 · ⭐ 1.2K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy -- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 20 · 🔀 160 · 📦 880 · ⏱️ 03.03.2023): +- [GitHub](https://github.com/explosion/spacy-transformers) (👨‍💻 20 · 🔀 160 · 📦 880 · ⏱️ 13.03.2023): ``` git clone https://github.com/explosion/spacy-transformers ``` -- [PyPi](https://pypi.org/project/spacy-transformers) (📥 210K / month · 📦 30 · ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/spacy-transformers) (📥 220K / month · 📦 30 · ⏱️ 26.01.2023): ``` pip install spacy-transformers ``` @@ -1825,34 +1857,34 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/makcedward/nlpaug ``` -- [PyPi](https://pypi.org/project/nlpaug) (📥 170K / month · 📦 21 · ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/nlpaug) (📥 160K / month · 📦 21 · ⏱️ 07.07.2022): ``` pip install nlpaug ``` -- [Conda](https://anaconda.org/conda-forge/nlpaug) (📥 7.4K · ⏱️ 30.01.2023): +- [Conda](https://anaconda.org/conda-forge/nlpaug) (📥 7.5K · ⏱️ 30.01.2023): ``` conda install -c conda-forge nlpaug ```
ftfy (🥈29 · ⭐ 3.5K) - Fixes mojibake and other glitches in Unicode text, after the fact. MIT -- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 18 · 🔀 110 · 📦 9.5K · 📋 130 - 9% open · ⏱️ 25.10.2022): +- [GitHub](https://github.com/rspeer/python-ftfy) (👨‍💻 18 · 🔀 120 · 📦 9.6K · 📋 130 - 11% open · ⏱️ 25.10.2022): ``` git clone https://github.com/rspeer/python-ftfy ``` -- [PyPi](https://pypi.org/project/ftfy) (📥 4.5M / month · 📦 490 · ⏱️ 09.02.2022): +- [PyPi](https://pypi.org/project/ftfy) (📥 4.8M / month · 📦 570 · ⏱️ 09.02.2022): ``` pip install ftfy ``` -- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 230K · ⏱️ 13.03.2022): +- [Conda](https://anaconda.org/conda-forge/ftfy) (📥 240K · ⏱️ 13.03.2022): ``` conda install -c conda-forge ftfy ```
Sumy (🥈29 · ⭐ 3.1K) - Module for automatic summarization of text documents and HTML pages. Apache-2 -- [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 26 · 🔀 490 · 📦 1.8K · 📋 110 - 15% open · ⏱️ 21.02.2023): +- [GitHub](https://github.com/miso-belica/sumy) (👨‍💻 26 · 🔀 500 · 📦 1.8K · 📋 110 - 15% open · ⏱️ 21.02.2023): ``` git clone https://github.com/miso-belica/sumy @@ -1866,18 +1898,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sumy ```
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GluonNLP (🥈29 · ⭐ 2.5K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2 - -- [GitHub](https://github.com/dmlc/gluon-nlp) (👨‍💻 84 · 🔀 520 · 📦 1.2K · 📋 560 - 46% open · ⏱️ 25.12.2022): - - ``` - git clone https://github.com/dmlc/gluon-nlp - ``` -- [PyPi](https://pypi.org/project/gluonnlp) (📥 190K / month · 📦 22 · ⏱️ 13.08.2020): - ``` - pip install gluonnlp - ``` -
textacy (🥈29 · ⭐ 2K · 💤) - NLP, before and after spaCy. Apache-2 - [GitHub](https://github.com/chartbeat-labs/textacy) (👨‍💻 32 · 🔀 240 · 📋 260 - 11% open · ⏱️ 06.03.2022): @@ -1885,7 +1905,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/chartbeat-labs/textacy ``` -- [PyPi](https://pypi.org/project/textacy) (📥 110K / month · 📦 100 · ⏱️ 06.12.2021): +- [PyPi](https://pypi.org/project/textacy) (📥 120K / month · 📦 100 · ⏱️ 06.12.2021): ``` pip install textacy ``` @@ -1894,35 +1914,43 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge textacy ```
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rubrix (🥈29 · ⭐ 1.7K) - Open-source tool for data-centric NLP. Argilla helps domain experts.. Apache-2 +
english-words (🥈28 · ⭐ 8.8K) - A text file containing 479k English words for all your.. Unlicense -- [GitHub](https://github.com/argilla-io/argilla) (👨‍💻 41 · 🔀 150 · 📦 31 · 📋 940 - 19% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 30 · 🔀 1.6K · 📋 120 - 73% open · ⏱️ 08.11.2022): ``` - git clone https://github.com/recognai/rubrix + git clone https://github.com/dwyl/english-words ``` -- [PyPi](https://pypi.org/project/rubrix) (📥 780 / month · ⏱️ 24.10.2022): +- [PyPi](https://pypi.org/project/english-words) (📥 310K / month · 📦 7 · ⏱️ 06.01.2023): ``` - pip install rubrix + pip install english-words ``` -- [Conda](https://anaconda.org/conda-forge/rubrix) (📥 18K · ⏱️ 06.10.2022): +
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fastNLP (🥈28 · ⭐ 2.9K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2 + +- [GitHub](https://github.com/fastnlp/fastNLP) (👨‍💻 62 · 🔀 440 · 📥 67 · 📦 120 · 📋 210 - 25% open · ⏱️ 13.12.2022): + ``` - conda install -c conda-forge rubrix + git clone https://github.com/fastnlp/fastNLP + ``` +- [PyPi](https://pypi.org/project/fastnlp) (📥 8.6K / month · 📦 3 · ⏱️ 04.02.2019): + ``` + pip install fastnlp ```
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english-words (🥈28 · ⭐ 8.7K) - A text file containing 479k English words for all your.. Unlicense +
GluonNLP (🥈28 · ⭐ 2.5K) - Toolkit that enables easy text preprocessing, datasets loading.. Apache-2 -- [GitHub](https://github.com/dwyl/english-words) (👨‍💻 30 · 🔀 1.6K · 📋 120 - 73% open · ⏱️ 08.11.2022): +- [GitHub](https://github.com/dmlc/gluon-nlp) (👨‍💻 84 · 🔀 520 · 📦 1.2K · 📋 560 - 46% open · ⏱️ 25.12.2022): ``` - git clone https://github.com/dwyl/english-words + git clone https://github.com/dmlc/gluon-nlp ``` -- [PyPi](https://pypi.org/project/english-words) (📥 290K / month · 📦 7 · ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/gluonnlp) (📥 200K / month · 📦 22 · ⏱️ 13.08.2020): ``` - pip install english-words + pip install gluonnlp ```
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scattertext (🥈28 · ⭐ 2K) - Beautiful visualizations of how language differs among document.. Apache-2 +
scattertext (🥈28 · ⭐ 2.1K) - Beautiful visualizations of how language differs among document.. Apache-2 - [GitHub](https://github.com/JasonKessler/scattertext) (👨‍💻 13 · 🔀 280 · 📦 360 · 📋 95 - 20% open · ⏱️ 28.02.2023): @@ -1949,7 +1977,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` pip install ciphey ``` -- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (📥 18K · ⭐ 11 · ⏱️ 17.12.2022): +- [Docker Hub](https://hub.docker.com/r/remnux/ciphey) (📥 18K · ⭐ 11 · ⏱️ 10.03.2023): ``` docker pull remnux/ciphey ``` @@ -1961,19 +1989,19 @@ _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) (📥 18K / month · 📦 3 · ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/t5) (📥 16K / month · 📦 3 · ⏱️ 18.10.2021): ``` pip install t5 ```
vaderSentiment (🥈27 · ⭐ 3.9K · 💤) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT -- [GitHub](https://github.com/cjhutto/vaderSentiment) (👨‍💻 11 · 🔀 930 · 📦 6.2K · 📋 120 - 37% open · ⏱️ 01.04.2022): +- [GitHub](https://github.com/cjhutto/vaderSentiment) (👨‍💻 11 · 🔀 930 · 📦 6.3K · 📋 120 - 37% open · ⏱️ 01.04.2022): ``` git clone https://github.com/cjhutto/vaderSentiment ``` -- [PyPi](https://pypi.org/project/vadersentiment) (📥 210K / month · 📦 180 · ⏱️ 22.05.2020): +- [PyPi](https://pypi.org/project/vadersentiment) (📥 220K / month · 📦 180 · ⏱️ 22.05.2020): ``` pip install vadersentiment ``` @@ -1982,33 +2010,37 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge vadersentiment ```
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fastNLP (🥈27 · ⭐ 2.8K) - fastNLP: A Modularized and Extensible NLP Framework. Currently still.. Apache-2 +
TextDistance (🥈27 · ⭐ 3.1K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT -- [GitHub](https://github.com/fastnlp/fastNLP) (👨‍💻 62 · 🔀 440 · 📥 67 · 📦 120 · 📋 210 - 25% open · ⏱️ 13.12.2022): +- [GitHub](https://github.com/life4/textdistance) (👨‍💻 13 · 🔀 240 · 📥 890 · 📦 3.7K · ⏱️ 18.09.2022): ``` - git clone https://github.com/fastnlp/fastNLP + git clone https://github.com/life4/textdistance ``` -- [PyPi](https://pypi.org/project/fastnlp) (📥 8.2K / month · 📦 3 · ⏱️ 04.02.2019): +- [PyPi](https://pypi.org/project/textdistance) (📥 440K / month · 📦 56 · ⏱️ 20.09.2022): ``` - pip install fastnlp + pip install textdistance + ``` +- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 340K · ⏱️ 18.09.2022): + ``` + conda install -c conda-forge textdistance ```
DeepKE (🥈27 · ⭐ 1.7K) - An Open Toolkit for Knowledge Graph Extraction and Construction.. MIT -- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 17 · 🔀 440 · 📦 13 · 📋 210 - 0% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/zjunlp/DeepKE) (👨‍💻 17 · 🔀 460 · 📦 13 · 📋 220 - 0% open · ⏱️ 15.03.2023): ``` git clone https://github.com/zjunlp/deepke ``` -- [PyPi](https://pypi.org/project/deepke) (📥 1.9K / month · ⏱️ 28.12.2022): +- [PyPi](https://pypi.org/project/deepke) (📥 2.6K / month · ⏱️ 28.12.2022): ``` pip install deepke ```
SciSpacy (🥈27 · ⭐ 1.3K) - A full spaCy pipeline and models for scientific/biomedical documents. Apache-2 -- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 27 · 🔀 180 · 📦 630 · 📋 280 - 11% open · ⏱️ 06.11.2022): +- [GitHub](https://github.com/allenai/scispacy) (👨‍💻 27 · 🔀 180 · 📦 640 · 📋 280 - 11% open · ⏱️ 06.11.2022): ``` git clone https://github.com/allenai/scispacy @@ -2042,22 +2074,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we pip install pytext-nlp ```
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TextDistance (🥉26 · ⭐ 3.1K) - Compute distance between sequences. 30+ algorithms, pure python.. MIT - -- [GitHub](https://github.com/life4/textdistance) (👨‍💻 13 · 🔀 240 · 📥 890 · 📦 3.7K · ⏱️ 18.09.2022): - - ``` - git clone https://github.com/life4/textdistance - ``` -- [PyPi](https://pypi.org/project/textdistance) (📥 430K / month · 📦 56 · ⏱️ 20.09.2022): - ``` - pip install textdistance - ``` -- [Conda](https://anaconda.org/conda-forge/textdistance) (📥 330K · ⏱️ 18.09.2022): - ``` - conda install -c conda-forge textdistance - ``` -
PyTextRank (🥉26 · ⭐ 2K · 💤) - Python implementation of TextRank algorithms (textgraphs) for.. MIT - [GitHub](https://github.com/DerwenAI/pytextrank) (👨‍💻 18 · 🔀 330 · 📦 360 · 📋 93 - 22% open · ⏱️ 27.07.2022): @@ -2065,19 +2081,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/DerwenAI/pytextrank ``` -- [PyPi](https://pypi.org/project/pytextrank) (📥 57K / month · 📦 16 · ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/pytextrank) (📥 55K / month · 📦 16 · ⏱️ 27.07.2022): ``` pip install pytextrank ```
sense2vec (🥉25 · ⭐ 1.5K) - Contextually-keyed word vectors. MIT -- [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 18 · 🔀 240 · 📥 48K · 📦 240 · 📋 110 - 18% open · ⏱️ 08.12.2022): +- [GitHub](https://github.com/explosion/sense2vec) (👨‍💻 18 · 🔀 240 · 📥 49K · 📦 240 · 📋 110 - 18% open · ⏱️ 08.12.2022): ``` git clone https://github.com/explosion/sense2vec ``` -- [PyPi](https://pypi.org/project/sense2vec) (📥 3.8K / month · 📦 11 · ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/sense2vec) (📥 4K / month · 📦 11 · ⏱️ 08.12.2022): ``` pip install sense2vec ``` @@ -2086,21 +2102,21 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we conda install -c conda-forge sense2vec ```
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detoxify (🥉25 · ⭐ 570) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 +
detoxify (🥉25 · ⭐ 580) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2 -- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 9 · 🔀 76 · 📥 150K · 📦 240 · 📋 51 - 58% open · ⏱️ 19.12.2022): +- [GitHub](https://github.com/unitaryai/detoxify) (👨‍💻 9 · 🔀 77 · 📥 160K · 📦 250 · 📋 51 - 58% open · ⏱️ 19.12.2022): ``` git clone https://github.com/unitaryai/detoxify ``` -- [PyPi](https://pypi.org/project/detoxify) (📥 70K / month · 📦 3 · ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/detoxify) (📥 77K / month · 📦 3 · ⏱️ 19.12.2022): ``` pip install detoxify ```
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qdrant (🥉24 · ⭐ 4.7K) - Qdrant - Vector Search Engine and Database for the next generation of.. Apache-2 +
qdrant (🥉24 · ⭐ 4.9K) - Qdrant - Vector Search Engine and Database for the next generation of.. Apache-2 -- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 33 · 🔀 210 · 📋 410 - 11% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/qdrant/qdrant) (👨‍💻 34 · 🔀 220 · 📋 410 - 11% open · ⏱️ 15.03.2023): ``` git clone https://github.com/qdrant/qdrant @@ -2108,12 +2124,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
OpenPrompt (🥉24 · ⭐ 2.6K) - An Open-Source Framework for Prompt-Learning. Apache-2 -- [GitHub](https://github.com/thunlp/OpenPrompt) (👨‍💻 19 · 🔀 290 · 📦 33 · 📋 210 - 26% open · ⏱️ 05.02.2023): +- [GitHub](https://github.com/thunlp/OpenPrompt) (👨‍💻 19 · 🔀 310 · 📦 35 · 📋 210 - 26% open · ⏱️ 05.02.2023): ``` git clone https://github.com/thunlp/OpenPrompt ``` -- [PyPi](https://pypi.org/project/openprompt) (📥 1.4K / month · 📦 1 · ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/openprompt) (📥 1.7K / month · 📦 1 · ⏱️ 06.07.2022): ``` pip install openprompt ``` @@ -2125,7 +2141,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/deepset-ai/FARM ``` -- [PyPi](https://pypi.org/project/farm) (📥 4.8K / month · 📦 3 · ⏱️ 10.06.2021): +- [PyPi](https://pypi.org/project/farm) (📥 5.2K / month · 📦 3 · ⏱️ 10.06.2021): ``` pip install farm ``` @@ -2141,7 +2157,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bigscience-workshop/promptsource ``` -- [PyPi](https://pypi.org/project/promptsource) (📥 3.6K / month · ⏱️ 18.04.2022): +- [PyPi](https://pypi.org/project/promptsource) (📥 4.2K / month · ⏱️ 18.04.2022): ``` pip install promptsource ``` @@ -2153,11 +2169,27 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/awslabs/sockeye ``` -- [PyPi](https://pypi.org/project/sockeye) (📥 800 / month · 📦 2 · ⏱️ 03.03.2023): +- [PyPi](https://pypi.org/project/sockeye) (📥 760 / month · 📦 2 · ⏱️ 03.03.2023): ``` pip install sockeye ```
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small-text (🥉23 · ⭐ 420) - Active Learning for Text Classification in Python. MIT + +- [GitHub](https://github.com/webis-de/small-text) (👨‍💻 3 · 🔀 44 · 📦 18 · 📋 28 - 25% open · ⏱️ 21.02.2023): + + ``` + git clone https://github.com/webis-de/small-text + ``` +- [PyPi](https://pypi.org/project/small-text) (📥 640 / month · ⏱️ 14.10.2022): + ``` + pip install small-text + ``` +- [Conda](https://anaconda.org/conda-forge/small-text) (📥 1.9K · ⏱️ 21.02.2023): + ``` + conda install -c conda-forge small-text + ``` +
gpt-2-simple (🥉22 · ⭐ 3.2K · 💤) - Python package to easily retrain OpenAIs GPT-2 text-.. MIT - [GitHub](https://github.com/minimaxir/gpt-2-simple) (👨‍💻 21 · 🔀 630 · 📥 410 · 📋 270 - 63% open · ⏱️ 22.05.2022): @@ -2165,7 +2197,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/minimaxir/gpt-2-simple ``` -- [PyPi](https://pypi.org/project/gpt-2-simple) (📥 6.6K / month · 📦 6 · ⏱️ 18.10.2021): +- [PyPi](https://pypi.org/project/gpt-2-simple) (📥 7.1K / month · 📦 6 · ⏱️ 18.10.2021): ``` pip install gpt-2-simple ``` @@ -2177,7 +2209,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/jbesomi/texthero ``` -- [PyPi](https://pypi.org/project/texthero) (📥 34K / month · 📦 6 · ⏱️ 01.07.2021): +- [PyPi](https://pypi.org/project/texthero) (📥 25K / month · 📦 6 · ⏱️ 01.07.2021): ``` pip install texthero ``` @@ -2189,78 +2221,78 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/bytedance/lightseq ``` -- [PyPi](https://pypi.org/project/lightseq) (📥 990 / month · 📦 1 · ⏱️ 03.11.2022): +- [PyPi](https://pypi.org/project/lightseq) (📥 930 / month · 📦 1 · ⏱️ 03.11.2022): ``` pip install lightseq ```
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small-text (🥉22 · ⭐ 420) - Active Learning for Text Classification in Python. MIT +
jiant (🥉22 · ⭐ 1.5K) - jiant is an nlp toolkit. MIT -- [GitHub](https://github.com/webis-de/small-text) (👨‍💻 3 · 🔀 44 · 📦 18 · 📋 28 - 28% open · ⏱️ 21.02.2023): +- [GitHub](https://github.com/nyu-mll/jiant) (👨‍💻 59 · 🔀 280 · 📦 2 · 📋 550 - 12% open · ⏱️ 17.10.2022): ``` - git clone https://github.com/webis-de/small-text - ``` -- [PyPi](https://pypi.org/project/small-text) (📥 550 / month · ⏱️ 14.10.2022): - ``` - pip install small-text + git clone https://github.com/nyu-mll/jiant ``` -- [Conda](https://anaconda.org/conda-forge/small-text) (📥 1.8K · ⏱️ 21.02.2023): +- [PyPi](https://pypi.org/project/jiant) (📥 160 / month · ⏱️ 10.05.2021): ``` - conda install -c conda-forge small-text + pip install jiant ```
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happy-transformer (🥉22 · ⭐ 400) - A package built on top of Hugging Faces transformers.. Apache-2 huggingface +
YouTokenToMe (🥉22 · ⭐ 860) - Unsupervised text tokenizer focused on computational efficiency. MIT -- [GitHub](https://github.com/EricFillion/happy-transformer) (👨‍💻 14 · 🔀 51 · 📦 120 · 📋 120 - 18% open · ⏱️ 31.10.2022): +- [GitHub](https://github.com/VKCOM/YouTokenToMe) (👨‍💻 8 · 🔀 69 · 📦 390 · 📋 60 - 60% open · ⏱️ 10.03.2023): ``` - git clone https://github.com/EricFillion/happy-transformer + git clone https://github.com/vkcom/youtokentome ``` -- [PyPi](https://pypi.org/project/happytransformer) (📥 8.1K / month · 📦 2 · ⏱️ 06.02.2022): +- [PyPi](https://pypi.org/project/youtokentome) (📥 25K / month · 📦 22 · ⏱️ 12.02.2020): ``` - pip install happytransformer + pip install youtokentome + ``` +- [Conda](https://anaconda.org/conda-forge/youtokentome) (📥 26K · ⏱️ 30.10.2022): + ``` + conda install -c conda-forge youtokentome ```
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fast-bert (🥉21 · ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 +
happy-transformer (🥉22 · ⭐ 400) - A package built on top of Hugging Faces transformers.. Apache-2 huggingface -- [GitHub](https://github.com/utterworks/fast-bert) (👨‍💻 36 · 🔀 340 · 📋 250 - 62% open · ⏱️ 27.09.2022): +- [GitHub](https://github.com/EricFillion/happy-transformer) (👨‍💻 14 · 🔀 51 · 📦 120 · 📋 120 - 20% open · ⏱️ 31.10.2022): ``` - git clone https://github.com/utterworks/fast-bert + git clone https://github.com/EricFillion/happy-transformer ``` -- [PyPi](https://pypi.org/project/fast-bert) (📥 2.8K / month · 📦 2 · ⏱️ 22.09.2022): +- [PyPi](https://pypi.org/project/happytransformer) (📥 10K / month · 📦 2 · ⏱️ 06.02.2022): ``` - pip install fast-bert + pip install happytransformer ```
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jiant (🥉21 · ⭐ 1.5K) - jiant is an nlp toolkit. MIT +
NLP Architect (🥉21 · ⭐ 2.9K) - A model library for exploring state-of-the-art deep learning.. Apache-2 -- [GitHub](https://github.com/nyu-mll/jiant) (👨‍💻 59 · 🔀 280 · 📦 2 · 📋 550 - 12% open · ⏱️ 17.10.2022): +- [GitHub](https://github.com/IntelLabs/nlp-architect) (👨‍💻 38 · 🔀 450 · 📦 9 · 📋 130 - 16% open · ⏱️ 07.11.2022): ``` - git clone https://github.com/nyu-mll/jiant + git clone https://github.com/IntelLabs/nlp-architect ``` -- [PyPi](https://pypi.org/project/jiant) (📥 140 / month · ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/nlp-architect) (📥 160 / month · ⏱️ 12.04.2020): ``` - pip install jiant + pip install nlp-architect ```
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NLP Architect (🥉20 · ⭐ 2.9K) - A model library for exploring state-of-the-art deep learning.. Apache-2 +
fast-bert (🥉21 · ⭐ 1.8K) - Super easy library for BERT based NLP models. Apache-2 -- [GitHub](https://github.com/IntelLabs/nlp-architect) (👨‍💻 38 · 🔀 450 · 📦 9 · 📋 130 - 16% open · ⏱️ 07.11.2022): +- [GitHub](https://github.com/utterworks/fast-bert) (👨‍💻 36 · 🔀 340 · 📋 250 - 62% open · ⏱️ 27.09.2022): ``` - git clone https://github.com/IntelLabs/nlp-architect + git clone https://github.com/utterworks/fast-bert ``` -- [PyPi](https://pypi.org/project/nlp-architect) (📥 140 / month · ⏱️ 12.04.2020): +- [PyPi](https://pypi.org/project/fast-bert) (📥 3K / month · 📦 2 · ⏱️ 22.09.2022): ``` - pip install nlp-architect + pip install fast-bert ```
TextBox (🥉19 · ⭐ 920) - TextBox 2.0 is a text generation library with pre-trained language models. MIT -- [GitHub](https://github.com/RUCAIBox/TextBox) (👨‍💻 18 · 🔀 95 · 📦 5 · 📋 45 - 6% open · ⏱️ 25.02.2023): +- [GitHub](https://github.com/RUCAIBox/TextBox) (👨‍💻 18 · 🔀 97 · 📦 5 · 📋 45 - 6% open · ⏱️ 25.02.2023): ``` git clone https://github.com/RUCAIBox/TextBox @@ -2289,19 +2321,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/dsfsi/textaugment ``` -- [PyPi](https://pypi.org/project/textaugment) (📥 3.7K / month · 📦 1 · ⏱️ 05.11.2020): +- [PyPi](https://pypi.org/project/textaugment) (📥 3.8K / month · 📦 1 · ⏱️ 05.11.2020): ``` pip install textaugment ```
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fastT5 (🥉18 · ⭐ 430 · 💤) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 +
fastT5 (🥉18 · ⭐ 440 · 💤) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2 - [GitHub](https://github.com/Ki6an/fastT5) (👨‍💻 5 · 🔀 52 · 📦 28 · 📋 56 - 28% open · ⏱️ 05.04.2022): ``` git clone https://github.com/Ki6an/fastT5 ``` -- [PyPi](https://pypi.org/project/fastt5) (📥 1.4K / month · ⏱️ 05.04.2022): +- [PyPi](https://pypi.org/project/fastt5) (📥 1.5K / month · ⏱️ 05.04.2022): ``` pip install fastt5 ``` @@ -2314,14 +2346,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we git clone https://github.com/thunlp/OpenNRE ```
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Translate (🥉16 · ⭐ 780 · 💤) - Translate - a PyTorch Language Library. BSD-3 +
Translate (🥉15 · ⭐ 780 · 💤) - Translate - a PyTorch Language Library. BSD-3 - [GitHub](https://github.com/pytorch/translate) (👨‍💻 88 · 🔀 200 · 📋 55 - 50% open · ⏱️ 10.06.2022): ``` git clone https://github.com/pytorch/translate ``` -- [PyPi](https://pypi.org/project/pytorch-translate) (📥 21 / month · ⏱️ 01.05.2018): +- [PyPi](https://pypi.org/project/pytorch-translate) (📥 17 / month · ⏱️ 01.05.2018): ``` pip install pytorch-translate ``` @@ -2333,15 +2365,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we ``` git clone https://github.com/facebookresearch/vizseq ``` -- [PyPi](https://pypi.org/project/vizseq) (📥 47 / month · ⏱️ 07.08.2020): +- [PyPi](https://pypi.org/project/vizseq) (📥 67 / month · ⏱️ 07.08.2020): ``` pip install vizseq ```
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Show 35 hidden projects... +
Show 33 hidden projects... - ChatterBot (🥇36 · ⭐ 13K · 💀) - ChatterBot is a machine learning, conversational dialog engine.. BSD-3 -- TextBlob (🥇36 · ⭐ 8.5K · 💀) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT - fuzzywuzzy (🥈34 · ⭐ 8.8K · 💀) - Fuzzy String Matching in Python. ❗️GPL-2.0 - polyglot (🥈28 · ⭐ 2.1K · 💀) - Multilingual text (NLP) processing toolkit. ❗️GPL-3.0 - underthesea (🥈28 · ⭐ 1.1K) - Underthesea - Vietnamese NLP Toolkit. ❗️GPL-3.0 @@ -2355,17 +2386,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we - whoosh (🥉24 · ⭐ 380 · 💀) - Pure-Python full-text search library. ❗️BSD-1-Clause - DeepMatcher (🥉23 · ⭐ 4.6K · 💀) - Python package for performing Entity and Text Matching using.. BSD-3 - Kashgari (🥉23 · ⭐ 2.4K · 💀) - Kashgari is a production-level NLP Transfer learning.. Apache-2 -- YouTokenToMe (🥉23 · ⭐ 860 · 💀) - Unsupervised text tokenizer focused on computational efficiency. MIT - pySBD (🥉23 · ⭐ 580 · 💀) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT -- Texar (🥉22 · ⭐ 2.3K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 +- Texar (🥉22 · ⭐ 2.4K · 💀) - Toolkit for Machine Learning, Natural Language Processing, and.. Apache-2 - DELTA (🥉21 · ⭐ 1.5K · 💀) - DELTA is a deep learning based natural language and speech.. Apache-2 - anaGo (🥉21 · ⭐ 1.5K · 💀) - Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition,.. MIT -- stop-words (🥉21 · ⭐ 140 · 💀) - Get list of common stop words in various languages in Python. BSD-3 +- stop-words (🥉21 · ⭐ 150 · 💀) - Get list of common stop words in various languages in Python. BSD-3 - pyfasttext (🥉20 · ⭐ 230 · 💀) - Yet another Python binding for fastText. ❗️GPL-3.0 - textpipe (🥉19 · ⭐ 300 · 💀) - Textpipe: clean and extract metadata from text. MIT - numerizer (🥉19 · ⭐ 200) - A Python module to convert natural language numerics into ints and.. MIT +- NeuroNER (🥉18 · ⭐ 1.6K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - Camphr (🥉18 · ⭐ 340 · 💀) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy -- NeuroNER (🥉17 · ⭐ 1.6K · 💀) - Named-entity recognition using neural networks. Easy-to-use and.. MIT - nboost (🥉17 · ⭐ 650 · 💀) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2 - skift (🥉17 · ⭐ 230 · 💤) - scikit-learn wrappers for Python fastText. MIT - NeuralQA (🥉15 · ⭐ 220 · 💀) - NeuralQA: A Usable Library for Question Answering on Large Datasets.. MIT @@ -2386,28 +2416,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (🥇47 · ⭐ 11K) - Python Imaging Library (Fork). ❗️PIL -- [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 430 · 🔀 2K · 📦 1.1M · 📋 2.8K - 4% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/python-pillow/Pillow) (👨‍💻 430 · 🔀 2K · 📦 1.1M · 📋 2.8K - 4% open · ⏱️ 14.03.2023): ``` git clone https://github.com/python-pillow/Pillow ``` -- [PyPi](https://pypi.org/project/Pillow) (📥 53M / month · 📦 65K · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/Pillow) (📥 54M / month · 📦 65K · ⏱️ 02.01.2023): ``` pip install Pillow ``` -- [Conda](https://anaconda.org/conda-forge/pillow) (📥 24M · ⏱️ 08.03.2023): +- [Conda](https://anaconda.org/conda-forge/pillow) (📥 25M · ⏱️ 08.03.2023): ``` conda install -c conda-forge pillow ```
scikit-image (🥇44 · ⭐ 5.3K) - Image processing in Python. BSD-2 -- [GitHub](https://github.com/scikit-image/scikit-image) (👨‍💻 600 · 🔀 2.1K · 📦 130K · 📋 2.6K - 25% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/scikit-image/scikit-image) (👨‍💻 600 · 🔀 2.1K · 📦 130K · 📋 2.6K - 26% open · ⏱️ 14.03.2023): ``` git clone https://github.com/scikit-image/scikit-image ``` -- [PyPi](https://pypi.org/project/scikit-image) (📥 6.4M / month · 📦 9.9K · ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/scikit-image) (📥 6.9M / month · 📦 9.9K · ⏱️ 12.06.2022): ``` pip install scikit-image ``` @@ -2416,9 +2446,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge scikit-image ```
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torchvision (🥇42 · ⭐ 13K · 📈) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 +
torchvision (🥇42 · ⭐ 13K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- [GitHub](https://github.com/pytorch/vision) (👨‍💻 520 · 🔀 6.6K · 📥 20K · 📋 2.9K - 30% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/pytorch/vision) (👨‍💻 520 · 🔀 6.6K · 📥 21K · 📋 3K - 29% open · ⏱️ 16.03.2023): ``` git clone https://github.com/pytorch/vision @@ -2427,23 +2457,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install torchvision ``` -- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 550K · ⏱️ 09.03.2023): +- [Conda](https://anaconda.org/conda-forge/torchvision) (📥 560K · ⏱️ 09.03.2023): ``` conda install -c conda-forge torchvision ```
PyTorch Image Models (🥇39 · ⭐ 24K) - PyTorch image models, scripts, pretrained weights --.. Apache-2 -- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨‍💻 94 · 🔀 4K · 📥 3.3M · 📦 8.5K · 📋 680 - 10% open · ⏱️ 27.02.2023): +- [GitHub](https://github.com/huggingface/pytorch-image-models) (👨‍💻 96 · 🔀 4K · 📥 3.4M · 📦 8.7K · 📋 680 - 10% open · ⏱️ 13.03.2023): ``` git clone https://github.com/rwightman/pytorch-image-models ``` -- [PyPi](https://pypi.org/project/timm) (📥 2.6M / month · 📦 200 · ⏱️ 12.01.2023): +- [PyPi](https://pypi.org/project/timm) (📥 2.9M / month · 📦 200 · ⏱️ 12.01.2023): ``` pip install timm ``` -- [Conda](https://anaconda.org/conda-forge/timm) (📥 53K · ⏱️ 24.11.2022): +- [Conda](https://anaconda.org/conda-forge/timm) (📥 54K · ⏱️ 24.11.2022): ``` conda install -c conda-forge timm ``` @@ -2455,67 +2485,67 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/open-mmlab/mmdetection ``` -- [PyPi](https://pypi.org/project/mmdet) (📥 110K / month · 📦 23 · ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/mmdet) (📥 120K / month · 📦 23 · ⏱️ 01.06.2022): ``` pip install mmdet ```
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imageio (🥇38 · ⭐ 1.2K) - Python library for reading and writing image data. BSD-2 +
MoviePy (🥇38 · ⭐ 10K) - Video editing with Python. MIT -- [GitHub](https://github.com/imageio/imageio) (👨‍💻 97 · 🔀 240 · 📥 510 · 📦 83K · 📋 530 - 15% open · ⏱️ 05.03.2023): +- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 160 · 🔀 1.3K · 📦 23K · 📋 1.3K - 23% open · ⏱️ 22.02.2023): ``` - git clone https://github.com/imageio/imageio + git clone https://github.com/Zulko/moviepy ``` -- [PyPi](https://pypi.org/project/imageio) (📥 15M / month · 📦 2.8K · ⏱️ 23.01.2023): +- [PyPi](https://pypi.org/project/moviepy) (📥 3.5M / month · 📦 860 · ⏱️ 05.10.2020): ``` - pip install imageio + pip install moviepy ``` -- [Conda](https://anaconda.org/conda-forge/imageio) (📥 4.5M · ⏱️ 27.02.2023): +- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 160K · ⏱️ 07.10.2022): ``` - conda install -c conda-forge imageio + conda install -c conda-forge moviepy ```
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MoviePy (🥇37 · ⭐ 10K) - Video editing with Python. MIT +
imageio (🥇38 · ⭐ 1.2K) - Python library for reading and writing image data. BSD-2 -- [GitHub](https://github.com/Zulko/moviepy) (👨‍💻 160 · 🔀 1.3K · 📦 22K · 📋 1.3K - 23% open · ⏱️ 22.02.2023): +- [GitHub](https://github.com/imageio/imageio) (👨‍💻 98 · 🔀 250 · 📥 520 · 📦 83K · 📋 540 - 15% open · ⏱️ 13.03.2023): ``` - git clone https://github.com/Zulko/moviepy + git clone https://github.com/imageio/imageio ``` -- [PyPi](https://pypi.org/project/moviepy) (📥 2.3M / month · 📦 810 · ⏱️ 05.10.2020): +- [PyPi](https://pypi.org/project/imageio) (📥 17M / month · 📦 2.9K · ⏱️ 23.01.2023): ``` - pip install moviepy + pip install imageio ``` -- [Conda](https://anaconda.org/conda-forge/moviepy) (📥 160K · ⏱️ 07.10.2022): +- [Conda](https://anaconda.org/conda-forge/imageio) (📥 4.5M · ⏱️ 27.02.2023): ``` - conda install -c conda-forge moviepy + conda install -c conda-forge imageio ```
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Kornia (🥈36 · ⭐ 7.8K) - Open Source Differentiable Computer Vision Library. Apache-2 +
Kornia (🥈36 · ⭐ 7.9K) - Open Source Differentiable Computer Vision Library. Apache-2 -- [GitHub](https://github.com/kornia/kornia) (👨‍💻 210 · 🔀 780 · 📥 560 · 📦 3.3K · 📋 740 - 30% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/kornia/kornia) (👨‍💻 210 · 🔀 780 · 📥 560 · 📦 3.4K · 📋 740 - 30% open · ⏱️ 16.03.2023): ``` git clone https://github.com/kornia/kornia ``` -- [PyPi](https://pypi.org/project/kornia) (📥 1.9M / month · 📦 80 · ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/kornia) (📥 2.2M / month · 📦 80 · ⏱️ 21.12.2022): ``` pip install kornia ``` -- [Conda](https://anaconda.org/conda-forge/kornia) (📥 66K · ⏱️ 28.02.2023): +- [Conda](https://anaconda.org/conda-forge/kornia) (📥 67K · ⏱️ 28.02.2023): ``` conda install -c conda-forge kornia ```
InsightFace (🥈35 · ⭐ 14K) - State-of-the-art 2D and 3D Face Analysis Project. MIT -- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 53 · 🔀 4.2K · 📦 260 · 📋 2.1K - 57% open · ⏱️ 15.02.2023): +- [GitHub](https://github.com/deepinsight/insightface) (👨‍💻 52 · 🔀 4.2K · 📦 270 · 📋 2.1K - 57% open · ⏱️ 15.03.2023): ``` git clone https://github.com/deepinsight/insightface ``` -- [PyPi](https://pypi.org/project/insightface) (📥 40K / month · 📦 7 · ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/insightface) (📥 35K / month · 📦 7 · ⏱️ 17.12.2022): ``` pip install insightface ``` @@ -2527,18 +2557,18 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/albumentations-team/albumentations ``` -- [PyPi](https://pypi.org/project/albumentations) (📥 620K / month · 📦 280 · ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/albumentations) (📥 630K / month · 📦 280 · ⏱️ 20.09.2022): ``` pip install albumentations ``` -- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 96K · ⏱️ 20.09.2022): +- [Conda](https://anaconda.org/conda-forge/albumentations) (📥 97K · ⏱️ 20.09.2022): ``` conda install -c conda-forge albumentations ```
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Wand (🥈35 · ⭐ 1.2K) - The ctypes-based simple ImageMagick binding for Python. MIT +
Wand (🥈35 · ⭐ 1.3K) - The ctypes-based simple ImageMagick binding for Python. MIT -- [GitHub](https://github.com/emcconville/wand) (👨‍💻 100 · 🔀 200 · 📥 10K · 📦 15K · 📋 400 - 6% open · ⏱️ 05.03.2023): +- [GitHub](https://github.com/emcconville/wand) (👨‍💻 100 · 🔀 200 · 📥 11K · 📦 15K · 📋 400 - 6% open · ⏱️ 05.03.2023): ``` git clone https://github.com/emcconville/wand @@ -2547,14 +2577,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` pip install wand ``` -- [Conda](https://anaconda.org/conda-forge/wand) (📥 21K · ⏱️ 22.08.2022): +- [Conda](https://anaconda.org/conda-forge/wand) (📥 22K · ⏱️ 22.08.2022): ``` conda install -c conda-forge wand ```
detectron2 (🥈34 · ⭐ 24K) - Detectron2 is a platform for object detection, segmentation.. Apache-2 -- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 240 · 🔀 6.4K · 📦 940 · 📋 3.3K - 10% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/facebookresearch/detectron2) (👨‍💻 240 · 🔀 6.4K · 📦 940 · 📋 3.3K - 10% open · ⏱️ 15.03.2023): ``` git clone https://github.com/facebookresearch/detectron2 @@ -2568,66 +2598,66 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge detectron2 ```
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PaddleDetection (🥈34 · ⭐ 9.6K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 +
PaddleDetection (🥈34 · ⭐ 9.7K) - Object Detection toolkit based on PaddlePaddle. It.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 140 · 🔀 2.4K · 📦 57 · 📋 4.6K - 20% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleDetection) (👨‍💻 140 · 🔀 2.5K · 📦 59 · 📋 4.6K - 20% open · ⏱️ 16.03.2023): ``` git clone https://github.com/PaddlePaddle/PaddleDetection ``` -- [PyPi](https://pypi.org/project/paddledet) (📥 2K / month · 📦 1 · ⏱️ 19.09.2022): +- [PyPi](https://pypi.org/project/paddledet) (📥 1.8K / month · 📦 1 · ⏱️ 19.09.2022): ``` pip install paddledet ```
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deepface (🥈34 · ⭐ 5.7K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT +
deepface (🥈34 · ⭐ 5.8K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT -- [GitHub](https://github.com/serengil/deepface) (👨‍💻 36 · 🔀 1.2K · 📦 1.2K · 📋 630 - 0% open · ⏱️ 01.03.2023): +- [GitHub](https://github.com/serengil/deepface) (👨‍💻 37 · 🔀 1.2K · 📦 1.2K · 📋 640 - 0% open · ⏱️ 09.03.2023): ``` git clone https://github.com/serengil/deepface ``` -- [PyPi](https://pypi.org/project/deepface) (📥 93K / month · 📦 9 · ⏱️ 24.01.2023): +- [PyPi](https://pypi.org/project/deepface) (📥 96K / month · 📦 9 · ⏱️ 24.01.2023): ``` pip install deepface ```
opencv-python (🥈34 · ⭐ 3.3K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT -- [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 43 · 🔀 640 · 📋 640 - 10% open · ⏱️ 22.02.2023): +- [GitHub](https://github.com/opencv/opencv-python) (👨‍💻 43 · 🔀 650 · 📋 650 - 11% open · ⏱️ 16.03.2023): ``` git clone https://github.com/opencv/opencv-python ``` -- [PyPi](https://pypi.org/project/opencv-python) (📥 8.5M / month · 📦 10K · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/opencv-python) (📥 8.8M / month · 📦 10K · ⏱️ 02.01.2023): ``` pip install opencv-python ```
imageai (🥈33 · ⭐ 7.6K) - A python library built to empower developers to build applications and.. MIT -- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨‍💻 17 · 🔀 2K · 📥 830K · 📦 1.3K · 📋 740 - 40% open · ⏱️ 03.03.2023): +- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (👨‍💻 17 · 🔀 2.1K · 📥 830K · 📦 1.3K · 📋 740 - 40% open · ⏱️ 03.03.2023): ``` git clone https://github.com/OlafenwaMoses/ImageAI ``` -- [PyPi](https://pypi.org/project/imageai) (📥 9.9K / month · 📦 18 · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/imageai) (📥 10K / month · 📦 18 · ⏱️ 02.01.2023): ``` pip install imageai ``` -- [Conda](https://anaconda.org/conda-forge/imageai) (📥 5K · ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/imageai) (📥 5.1K · ⏱️ 30.04.2021): ``` conda install -c conda-forge imageai ```
Face Recognition (🥈32 · ⭐ 48K · 💤) - The worlds simplest facial recognition api for Python.. MIT -- [GitHub](https://github.com/ageitgey/face_recognition) (👨‍💻 54 · 🔀 13K · 📥 940 · 📋 1.3K - 55% open · ⏱️ 10.06.2022): +- [GitHub](https://github.com/ageitgey/face_recognition) (👨‍💻 54 · 🔀 13K · 📥 1K · 📋 1.3K - 55% open · ⏱️ 10.06.2022): ``` git clone https://github.com/ageitgey/face_recognition ``` -- [PyPi](https://pypi.org/project/face_recognition) (📥 56K / month · 📦 55 · ⏱️ 20.02.2020): +- [PyPi](https://pypi.org/project/face_recognition) (📥 57K / month · 📦 55 · ⏱️ 20.02.2020): ``` pip install face_recognition ``` @@ -2636,7 +2666,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well conda install -c conda-forge face_recognition ```
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PaddleSeg (🥈32 · ⭐ 6.5K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 +
PaddleSeg (🥈32 · ⭐ 6.6K) - Easy-to-use image segmentation library with awesome pre-.. Apache-2 - [GitHub](https://github.com/PaddlePaddle/PaddleSeg) (👨‍💻 96 · 🔀 1.4K · 📦 830 · 📋 1.6K - 10% open · ⏱️ 27.02.2023): @@ -2650,7 +2680,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
GluonCV (🥈32 · ⭐ 5.5K) - Gluon CV Toolkit. Apache-2 -- [GitHub](https://github.com/dmlc/gluon-cv) (👨‍💻 120 · 🔀 1.2K · 📦 1K · 📋 830 - 7% open · ⏱️ 19.01.2023): +- [GitHub](https://github.com/dmlc/gluon-cv) (👨‍💻 120 · 🔀 1.2K · 📦 1.1K · 📋 830 - 7% open · ⏱️ 19.01.2023): ``` git clone https://github.com/dmlc/gluon-cv @@ -2662,12 +2692,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
ImageHash (🥈31 · ⭐ 2.7K) - A Python Perceptual Image Hashing Module. BSD-2 -- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 25 · 🔀 320 · 📦 8.1K · 📋 120 - 8% open · ⏱️ 07.02.2023): +- [GitHub](https://github.com/JohannesBuchner/imagehash) (👨‍💻 25 · 🔀 320 · 📦 8.2K · 📋 120 - 7% open · ⏱️ 07.02.2023): ``` git clone https://github.com/JohannesBuchner/imagehash ``` -- [PyPi](https://pypi.org/project/ImageHash) (📥 1.3M / month · 📦 340 · ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/ImageHash) (📥 1.4M / month · 📦 360 · ⏱️ 28.09.2022): ``` pip install ImageHash ``` @@ -2683,31 +2713,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/lucidrains/vit-pytorch ``` -- [PyPi](https://pypi.org/project/vit-pytorch) (📥 29K / month · 📦 6 · ⏱️ 30.06.2022): +- [PyPi](https://pypi.org/project/vit-pytorch) (📥 30K / month · 📦 6 · ⏱️ 30.06.2022): ``` pip install vit-pytorch ```
vidgear (🥈29 · ⭐ 2.7K) - A High-performance cross-platform Video Processing Python framework.. Apache-2 -- [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 13 · 🔀 210 · 📥 750 · 📦 360 · 📋 250 - 1% open · ⏱️ 26.01.2023): +- [GitHub](https://github.com/abhiTronix/vidgear) (👨‍💻 13 · 🔀 210 · 📥 760 · 📦 360 · 📋 250 - 1% open · ⏱️ 26.01.2023): ``` git clone https://github.com/abhiTronix/vidgear ``` -- [PyPi](https://pypi.org/project/vidgear) (📥 5K / month · 📦 7 · ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/vidgear) (📥 4.8K / month · 📦 7 · ⏱️ 26.01.2023): ``` pip install vidgear ```
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sahi (🥈29 · ⭐ 2.4K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT +
sahi (🥈29 · ⭐ 2.5K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT -- [GitHub](https://github.com/obss/sahi) (👨‍💻 24 · 🔀 380 · 📥 13K · 📦 320 · ⏱️ 07.03.2023): +- [GitHub](https://github.com/obss/sahi) (👨‍💻 25 · 🔀 380 · 📥 13K · 📦 330 · ⏱️ 10.03.2023): ``` git clone https://github.com/obss/sahi ``` -- [PyPi](https://pypi.org/project/sahi) (📥 110K / month · 📦 10 · ⏱️ 15.01.2023): +- [PyPi](https://pypi.org/project/sahi) (📥 120K / month · 📦 10 · ⏱️ 15.01.2023): ``` pip install sahi ``` @@ -2718,7 +2748,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
lightly (🥈29 · ⭐ 2.2K) - A python library for self-supervised learning on images. MIT -- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 24 · 🔀 180 · 📦 94 · 📋 360 - 11% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/lightly-ai/lightly) (👨‍💻 24 · 🔀 180 · 📦 97 · 📋 360 - 12% open · ⏱️ 13.03.2023): ``` git clone https://github.com/lightly-ai/lightly @@ -2728,28 +2758,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install lightly ```
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CellProfiler (🥉28 · ⭐ 750) - An open-source application for biological image analysis. BSD-3 +
Norfair (🥉28 · ⭐ 1.8K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 -- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 130 · 🔀 350 · 📥 4.6K · 📦 16 · 📋 3.2K - 7% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 24 · 🔀 180 · 📥 250 · 📦 97 · 📋 120 - 2% open · ⏱️ 09.02.2023): ``` - git clone https://github.com/CellProfiler/CellProfiler + git clone https://github.com/tryolabs/norfair ``` -- [PyPi](https://pypi.org/project/cellprofiler) (📥 570 / month · ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/norfair) (📥 13K / month · 📦 1 · ⏱️ 04.01.2023): ``` - pip install cellprofiler + pip install norfair ```
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Norfair (🥉27 · ⭐ 1.8K) - Lightweight Python library for adding real-time multi-object tracking.. BSD-3 +
CellProfiler (🥉28 · ⭐ 750) - An open-source application for biological image analysis. BSD-3 -- [GitHub](https://github.com/tryolabs/norfair) (👨‍💻 24 · 🔀 180 · 📥 240 · 📦 93 · 📋 120 - 2% open · ⏱️ 09.02.2023): +- [GitHub](https://github.com/CellProfiler/CellProfiler) (👨‍💻 130 · 🔀 350 · 📥 4.7K · 📦 16 · 📋 3.2K - 7% open · ⏱️ 16.03.2023): ``` - git clone https://github.com/tryolabs/norfair + git clone https://github.com/CellProfiler/CellProfiler ``` -- [PyPi](https://pypi.org/project/norfair) (📥 5.8K / month · 📦 1 · ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/cellprofiler) (📥 560 / month · ⏱️ 15.12.2022): ``` - pip install norfair + pip install cellprofiler ```
doctr (🥉27 · ⭐ 1.6K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2 @@ -2759,7 +2789,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/mindee/doctr ``` -- [PyPi](https://pypi.org/project/python-doctr) (📥 6.9K / month · 📦 2 · ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/python-doctr) (📥 6.7K / month · 📦 2 · ⏱️ 29.09.2022): ``` pip install python-doctr ``` @@ -2771,7 +2801,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/luispedro/mahotas ``` -- [PyPi](https://pypi.org/project/mahotas) (📥 9.2K / month · 📦 120 · ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/mahotas) (📥 9.8K / month · 📦 120 · ⏱️ 28.06.2022): ``` pip install mahotas ``` @@ -2792,14 +2822,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well pip install Augmentor ```
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ffcv (🥉26 · ⭐ 2.4K · 📈) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 +
ffcv (🥉26 · ⭐ 2.4K) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- [GitHub](https://github.com/libffcv/ffcv) (👨‍💻 26 · 🔀 150 · 📦 15 · 📋 220 - 31% open · ⏱️ 05.03.2023): +- [GitHub](https://github.com/libffcv/ffcv) (👨‍💻 26 · 🔀 150 · 📦 16 · 📋 220 - 31% open · ⏱️ 05.03.2023): ``` git clone https://github.com/libffcv/ffcv ``` -- [PyPi](https://pypi.org/project/ffcv) (📥 9.9K / month · ⏱️ 28.01.2022): +- [PyPi](https://pypi.org/project/ffcv) (📥 12K / month · ⏱️ 28.01.2022): ``` pip install ffcv ``` @@ -2811,30 +2841,30 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/mmf ``` -- [PyPi](https://pypi.org/project/mmf) (📥 220 / month · 📦 1 · ⏱️ 12.06.2020): +- [PyPi](https://pypi.org/project/mmf) (📥 320 / month · 📦 1 · ⏱️ 12.06.2020): ``` pip install mmf ```
pyvips (🥉25 · ⭐ 490) - python binding for libvips using cffi. MIT -- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 15 · 🔀 46 · 📦 480 · 📋 340 - 38% open · ⏱️ 28.02.2023): +- [GitHub](https://github.com/libvips/pyvips) (👨‍💻 15 · 🔀 46 · 📦 490 · 📋 340 - 38% open · ⏱️ 28.02.2023): ``` git clone https://github.com/libvips/pyvips ``` -- [PyPi](https://pypi.org/project/pyvips) (📥 32K / month · 📦 40 · ⏱️ 12.06.2022): +- [PyPi](https://pypi.org/project/pyvips) (📥 31K / month · 📦 40 · ⏱️ 12.06.2022): ``` pip install pyvips ``` -- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 48K · ⏱️ 29.10.2022): +- [Conda](https://anaconda.org/conda-forge/pyvips) (📥 49K · ⏱️ 29.10.2022): ``` conda install -c conda-forge pyvips ```
Image Deduplicator (🥉24 · ⭐ 4.4K) - Finding duplicate images made easy!. Apache-2 -- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 13 · 🔀 400 · 📦 34 · 📋 130 - 37% open · ⏱️ 10.01.2023): +- [GitHub](https://github.com/idealo/imagededup) (👨‍💻 13 · 🔀 400 · 📦 36 · 📋 130 - 37% open · ⏱️ 10.01.2023): ``` git clone https://github.com/idealo/imagededup @@ -2858,12 +2888,12 @@ _Libraries for image & video processing, manipulation, and augmentation as well
layout-parser (🥉24 · ⭐ 3.5K · 💤) - A Unified Toolkit for Deep Learning Based Document Image.. Apache-2 -- [GitHub](https://github.com/Layout-Parser/layout-parser) (👨‍💻 8 · 🔀 340 · 📦 150 · 📋 120 - 55% open · ⏱️ 06.08.2022): +- [GitHub](https://github.com/Layout-Parser/layout-parser) (👨‍💻 8 · 🔀 350 · 📦 160 · 📋 130 - 57% open · ⏱️ 06.08.2022): ``` git clone https://github.com/Layout-Parser/layout-parser ``` -- [PyPi](https://pypi.org/project/layoutparser) (📥 39K / month · 📦 2 · ⏱️ 06.04.2022): +- [PyPi](https://pypi.org/project/layoutparser) (📥 43K / month · 📦 5 · ⏱️ 06.04.2022): ``` pip install layoutparser ``` @@ -2887,7 +2917,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/lucidrains/deep-daze ``` -- [PyPi](https://pypi.org/project/deep-daze) (📥 1.4K / month · ⏱️ 13.03.2022): +- [PyPi](https://pypi.org/project/deep-daze) (📥 1.5K / month · ⏱️ 13.03.2022): ``` pip install deep-daze ``` @@ -2899,7 +2929,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/tensorflow/graphics ``` -- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 3.8K / month · 📦 5 · ⏱️ 03.12.2021): +- [PyPi](https://pypi.org/project/tensorflow-graphics) (📥 3.7K / month · 📦 5 · ⏱️ 03.12.2021): ``` pip install tensorflow-graphics ``` @@ -2911,7 +2941,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/google-research/kubric ``` -- [PyPi](https://pypi.org/project/kubric-nightly) (📥 4.8K / month · ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/kubric-nightly) (📥 5.2K / month · ⏱️ 06.07.2022): ``` pip install kubric-nightly ``` @@ -2923,7 +2953,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/ClassyVision ``` -- [PyPi](https://pypi.org/project/classy_vision) (📥 1.2K / month · 📦 4 · ⏱️ 09.07.2021): +- [PyPi](https://pypi.org/project/classy_vision) (📥 1.3K / month · 📦 4 · ⏱️ 09.07.2021): ``` pip install classy_vision ``` @@ -2939,19 +2969,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/airctic/icevision ``` -- [PyPi](https://pypi.org/project/icevision) (📥 3.9K / month · 📦 5 · ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/icevision) (📥 3.8K / month · 📦 5 · ⏱️ 10.02.2022): ``` pip install icevision ```
vissl (🥉22 · ⭐ 3K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT -- [GitHub](https://github.com/facebookresearch/vissl) (👨‍💻 34 · 🔀 310 · 📦 14 · 📋 180 - 41% open · ⏱️ 28.12.2022): +- [GitHub](https://github.com/facebookresearch/vissl) (👨‍💻 34 · 🔀 310 · 📦 15 · 📋 180 - 42% open · ⏱️ 28.12.2022): ``` git clone https://github.com/facebookresearch/vissl ``` -- [PyPi](https://pypi.org/project/vissl) (📥 360 / month · 📦 1 · ⏱️ 02.11.2021): +- [PyPi](https://pypi.org/project/vissl) (📥 370 / month · 📦 1 · ⏱️ 02.11.2021): ``` pip install vissl ``` @@ -2963,7 +2993,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/pycls ``` -- [PyPi](https://pypi.org/project/pycls) (📥 28K / month · ⏱️ 05.09.2020): +- [PyPi](https://pypi.org/project/pycls) (📥 43K / month · ⏱️ 05.09.2020): ``` pip install pycls ``` @@ -2975,7 +3005,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/ProvenanceLabs/image-match ``` -- [PyPi](https://pypi.org/project/image_match) (📥 820 / month · 📦 4 · ⏱️ 13.02.2017): +- [PyPi](https://pypi.org/project/image_match) (📥 740 / month · 📦 4 · ⏱️ 13.02.2017): ``` pip install image_match ``` @@ -2995,14 +3025,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well ``` git clone https://github.com/facebookresearch/SlowFast ``` -- [PyPi](https://pypi.org/project/pyslowfast) (📥 14 / month · ⏱️ 15.01.2020): +- [PyPi](https://pypi.org/project/pyslowfast) (📥 12 / month · ⏱️ 15.01.2020): ``` pip install pyslowfast ```
scenic (🥉19 · ⭐ 1.8K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2 -- [GitHub](https://github.com/google-research/scenic) (👨‍💻 59 · 🔀 250 · 📋 190 - 66% open · ⏱️ 01.03.2023): +- [GitHub](https://github.com/google-research/scenic) (👨‍💻 61 · 🔀 260 · 📋 190 - 66% open · ⏱️ 15.03.2023): ``` git clone https://github.com/google-research/scenic @@ -3010,14 +3040,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Show 17 hidden projects... -- glfw (🥈35 · ⭐ 10K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imgaug (🥈34 · ⭐ 13K · 💀) - Image augmentation for machine learning experiments. MIT +- glfw (🥈34 · ⭐ 10K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. ❗️Zlib - imutils (🥈31 · ⭐ 4.3K · 💀) - A series of convenience functions to make basic image processing.. MIT - PyTorch3D (🥈29 · ⭐ 7K) - PyTorch3D is FAIRs library of reusable components for deep.. ❗Unlicensed -- Face Alignment (🥉27 · ⭐ 6.1K · 💀) - 2D and 3D Face alignment library build using pytorch. BSD-3 +- Pillow-SIMD (🥉28 · ⭐ 1.9K · 💤) - The friendly PIL fork. ❗️PIL +- Face Alignment (🥉27 · ⭐ 6.2K · 💀) - 2D and 3D Face alignment library build using pytorch. BSD-3 - chainercv (🥉27 · ⭐ 1.5K · 💀) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT -- facenet-pytorch (🥉26 · ⭐ 3.3K · 💀) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT -- Pillow-SIMD (🥉26 · ⭐ 1.9K · 💤) - The friendly PIL fork. ❗️PIL +- facenet-pytorch (🥉26 · ⭐ 3.4K · 💀) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT - mtcnn (🥉26 · ⭐ 1.9K · 💀) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT - Image Super-Resolution (🥉23 · ⭐ 4.1K · 💀) - Super-scale your images and run experiments with.. Apache-2 - Luminoth (🥉22 · ⭐ 2.4K · 💀) - Deep Learning toolkit for Computer Vision. BSD-3 @@ -3038,7 +3068,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
networkx (🥇43 · ⭐ 12K) - Network Analysis in Python. BSD-3 -- [GitHub](https://github.com/networkx/networkx) (👨‍💻 640 · 🔀 2.9K · 📥 63 · 📦 140K · 📋 3.1K - 11% open · ⏱️ 02.03.2023): +- [GitHub](https://github.com/networkx/networkx) (👨‍💻 640 · 🔀 2.9K · 📥 63 · 📦 150K · 📋 3.1K - 12% open · ⏱️ 14.03.2023): ``` git clone https://github.com/networkx/networkx @@ -3054,7 +3084,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (🥇38 · ⭐ 17K) - Graph Neural Network Library for PyTorch. MIT -- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 380 · 🔀 3.1K · 📋 3K - 24% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/pyg-team/pytorch_geometric) (👨‍💻 380 · 🔀 3.1K · 📋 3K - 24% open · ⏱️ 16.03.2023): ``` git clone https://github.com/pyg-team/pytorch_geometric @@ -3063,55 +3093,55 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` pip install torch-geometric ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 17K · ⏱️ 04.01.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (📥 18K · ⏱️ 04.01.2023): ``` conda install -c conda-forge pytorch_geometric ```
dgl (🥇37 · ⭐ 11K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2 -- [GitHub](https://github.com/dmlc/dgl) (👨‍💻 260 · 🔀 2.7K · 📦 62 · 📋 2.2K - 16% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/dmlc/dgl) (👨‍💻 260 · 🔀 2.7K · 📦 65 · 📋 2.2K - 16% open · ⏱️ 16.03.2023): ``` git clone https://github.com/dmlc/dgl ``` -- [PyPi](https://pypi.org/project/dgl) (📥 43K / month · 📦 63 · ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/dgl) (📥 46K / month · 📦 63 · ⏱️ 20.09.2022): ``` pip install dgl ```
Spektral (🥈28 · ⭐ 2.2K) - Graph Neural Networks with Keras and Tensorflow 2. MIT -- [GitHub](https://github.com/danielegrattarola/spektral) (👨‍💻 26 · 🔀 330 · 📦 190 · 📋 250 - 21% open · ⏱️ 11.02.2023): +- [GitHub](https://github.com/danielegrattarola/spektral) (👨‍💻 26 · 🔀 330 · 📦 190 · 📋 260 - 22% open · ⏱️ 11.02.2023): ``` git clone https://github.com/danielegrattarola/spektral ``` -- [PyPi](https://pypi.org/project/spektral) (📥 5.9K / month · 📦 3 · ⏱️ 22.07.2022): +- [PyPi](https://pypi.org/project/spektral) (📥 6.3K / month · 📦 3 · ⏱️ 22.07.2022): ``` pip install spektral ```
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AmpliGraph (🥈28 · ⭐ 1.9K · 📈) - Python library for Representation Learning on Knowledge.. Apache-2 +
AmpliGraph (🥈28 · ⭐ 1.9K) - Python library for Representation Learning on Knowledge.. Apache-2 -- [GitHub](https://github.com/Accenture/AmpliGraph) (👨‍💻 20 · 🔀 230 · 📦 28 · 📋 210 - 14% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/Accenture/AmpliGraph) (👨‍💻 20 · 🔀 230 · 📦 28 · 📋 220 - 14% open · ⏱️ 08.03.2023): ``` git clone https://github.com/Accenture/AmpliGraph ``` -- [PyPi](https://pypi.org/project/ampligraph) (📥 610 / month · ⏱️ 25.05.2021): +- [PyPi](https://pypi.org/project/ampligraph) (📥 620 / month · ⏱️ 25.05.2021): ``` pip install ampligraph ```
ogb (🥈28 · ⭐ 1.6K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT -- [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 24 · 🔀 360 · 📦 660 · 📋 250 - 2% open · ⏱️ 27.01.2023): +- [GitHub](https://github.com/snap-stanford/ogb) (👨‍💻 24 · 🔀 360 · 📦 670 · 📋 250 - 2% open · ⏱️ 27.01.2023): ``` git clone https://github.com/snap-stanford/ogb ``` -- [PyPi](https://pypi.org/project/ogb) (📥 33K / month · 📦 19 · ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/ogb) (📥 39K / month · 📦 19 · ⏱️ 02.11.2022): ``` pip install ogb ``` @@ -3120,33 +3150,33 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge ogb ```
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Paddle Graph Learning (🥈27 · ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 +
PyKEEN (🥈27 · ⭐ 1.2K) - A Python library for learning and evaluating knowledge graph embeddings. MIT -- [GitHub](https://github.com/PaddlePaddle/PGL) (👨‍💻 29 · 🔀 300 · 📦 38 · 📋 190 - 40% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 35 · 🔀 160 · 📥 150 · 📋 500 - 19% open · ⏱️ 22.02.2023): ``` - git clone https://github.com/PaddlePaddle/PGL + git clone https://github.com/pykeen/pykeen ``` -- [PyPi](https://pypi.org/project/pgl) (📥 2.5K / month · 📦 2 · ⏱️ 03.08.2022): +- [PyPi](https://pypi.org/project/pykeen) (📥 2.1K / month · 📦 5 · ⏱️ 22.02.2023): ``` - pip install pgl + pip install pykeen ```
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PyKEEN (🥈27 · ⭐ 1.2K) - A Python library for learning and evaluating knowledge graph embeddings. MIT +
Paddle Graph Learning (🥈26 · ⭐ 1.5K) - Paddle Graph Learning (PGL) is an efficient and.. Apache-2 -- [GitHub](https://github.com/pykeen/pykeen) (👨‍💻 35 · 🔀 160 · 📥 150 · 📋 500 - 19% open · ⏱️ 22.02.2023): +- [GitHub](https://github.com/PaddlePaddle/PGL) (👨‍💻 29 · 🔀 300 · 📦 38 · 📋 190 - 40% open · ⏱️ 09.03.2023): ``` - git clone https://github.com/pykeen/pykeen + git clone https://github.com/PaddlePaddle/PGL ``` -- [PyPi](https://pypi.org/project/pykeen) (📥 2.2K / month · 📦 5 · ⏱️ 22.02.2023): +- [PyPi](https://pypi.org/project/pgl) (📥 2.6K / month · 📦 2 · ⏱️ 03.08.2022): ``` - pip install pykeen + pip install pgl ```
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pygraphistry (🥈26 · ⭐ 1.8K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 +
pygraphistry (🥈25 · ⭐ 1.8K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3 -- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 31 · 🔀 190 · 📦 85 · 📋 260 - 48% open · ⏱️ 23.12.2022): +- [GitHub](https://github.com/graphistry/pygraphistry) (👨‍💻 31 · 🔀 190 · 📦 85 · 📋 260 - 49% open · ⏱️ 23.12.2022): ``` git clone https://github.com/graphistry/pygraphistry @@ -3163,7 +3193,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/facebookresearch/PyTorch-BigGraph ``` -- [PyPi](https://pypi.org/project/torchbiggraph) (📥 150K / month · 📦 3 · ⏱️ 01.05.2019): +- [PyPi](https://pypi.org/project/torchbiggraph) (📥 160K / month · 📦 3 · ⏱️ 01.05.2019): ``` pip install torchbiggraph ``` @@ -3175,7 +3205,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/eliorc/node2vec ``` -- [PyPi](https://pypi.org/project/node2vec) (📥 91K / month · 📦 16 · ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/node2vec) (📥 93K / month · 📦 16 · ⏱️ 01.08.2022): ``` pip install node2vec ``` @@ -3203,19 +3233,19 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/graph4ai/graph4nlp ``` -- [PyPi](https://pypi.org/project/graph4nlp) (📥 140 / month · ⏱️ 20.01.2022): +- [PyPi](https://pypi.org/project/graph4nlp) (📥 120 / month · ⏱️ 20.01.2022): ``` pip install graph4nlp ```
jraph (🥉21 · ⭐ 1.1K · 💤) - A Graph Neural Network Library in Jax. Apache-2 -- [GitHub](https://github.com/deepmind/jraph) (👨‍💻 17 · 🔀 70 · 📦 61 · 📋 35 - 25% open · ⏱️ 31.08.2022): +- [GitHub](https://github.com/deepmind/jraph) (👨‍💻 17 · 🔀 72 · 📦 63 · 📋 35 - 25% open · ⏱️ 31.08.2022): ``` git clone https://github.com/deepmind/jraph ``` -- [PyPi](https://pypi.org/project/jraph) (📥 2.4K / month · 📦 2 · ⏱️ 12.08.2022): +- [PyPi](https://pypi.org/project/jraph) (📥 3.9K / month · 📦 5 · ⏱️ 12.08.2022): ``` pip install jraph ``` @@ -3226,7 +3256,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
torch-cluster (🥉21 · ⭐ 620) - PyTorch Extension Library of Optimized Graph Cluster.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 27 · 🔀 110 · 📋 120 - 18% open · ⏱️ 23.01.2023): +- [GitHub](https://github.com/rusty1s/pytorch_cluster) (👨‍💻 28 · 🔀 110 · 📋 120 - 18% open · ⏱️ 16.03.2023): ``` git clone https://github.com/rusty1s/pytorch_cluster @@ -3240,33 +3270,33 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas conda install -c conda-forge pytorch_cluster ```
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deepsnap (🥉20 · ⭐ 450) - Python library assists deep learning on graphs. MIT +
graph-nets (🥉20 · ⭐ 5.2K) - Build Graph Nets in Tensorflow. Apache-2 -- [GitHub](https://github.com/snap-stanford/deepsnap) (👨‍💻 16 · 🔀 49 · 📥 8 · 📦 42 · 📋 42 - 42% open · ⏱️ 05.03.2023): +- [GitHub](https://github.com/deepmind/graph_nets) (👨‍💻 11 · 🔀 780 · 📋 130 - 3% open · ⏱️ 12.12.2022): ``` - git clone https://github.com/snap-stanford/deepsnap + git clone https://github.com/deepmind/graph_nets ``` -- [PyPi](https://pypi.org/project/deepsnap) (📥 830 / month · 📦 1 · ⏱️ 05.09.2021): +- [PyPi](https://pypi.org/project/graph-nets) (📥 1.1K / month · 📦 8 · ⏱️ 29.01.2020): ``` - pip install deepsnap + pip install graph-nets ```
-
graph-nets (🥉19 · ⭐ 5.2K) - Build Graph Nets in Tensorflow. Apache-2 +
deepsnap (🥉20 · ⭐ 460) - Python library assists deep learning on graphs. MIT -- [GitHub](https://github.com/deepmind/graph_nets) (👨‍💻 11 · 🔀 780 · 📋 130 - 3% open · ⏱️ 12.12.2022): +- [GitHub](https://github.com/snap-stanford/deepsnap) (👨‍💻 16 · 🔀 49 · 📥 8 · 📦 42 · 📋 42 - 42% open · ⏱️ 05.03.2023): ``` - git clone https://github.com/deepmind/graph_nets + git clone https://github.com/snap-stanford/deepsnap ``` -- [PyPi](https://pypi.org/project/graph-nets) (📥 1K / month · 📦 8 · ⏱️ 29.01.2020): +- [PyPi](https://pypi.org/project/deepsnap) (📥 790 / month · 📦 1 · ⏱️ 05.09.2021): ``` - pip install graph-nets + pip install deepsnap ```
AutoGL (🥉19 · ⭐ 900) - An autoML framework & toolkit for machine learning on graphs. Apache-2 -- [GitHub](https://github.com/THUMNLab/AutoGL) (👨‍💻 15 · 🔀 110 · 📋 27 - 22% open · ⏱️ 30.12.2022): +- [GitHub](https://github.com/THUMNLab/AutoGL) (👨‍💻 15 · 🔀 110 · 📋 28 - 25% open · ⏱️ 30.12.2022): ``` git clone https://github.com/THUMNLab/AutoGL @@ -3276,9 +3306,9 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas pip install auto-graph-learning ```
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GraphGym (🥉17 · ⭐ 1.3K · 💤) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT +
GraphGym (🥉18 · ⭐ 1.3K) - Platform for designing and evaluating Graph Neural Networks (GNN). MIT -- [GitHub](https://github.com/snap-stanford/GraphGym) (👨‍💻 5 · 🔀 150 · 📥 20 · 📦 2 · 📋 39 - 30% open · ⏱️ 25.08.2022): +- [GitHub](https://github.com/snap-stanford/GraphGym) (👨‍💻 6 · 🔀 150 · 📥 21 · 📦 2 · 📋 39 - 30% open · ⏱️ 14.03.2023): ``` git clone https://github.com/snap-stanford/GraphGym @@ -3290,7 +3320,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
GraphEmbedding (🥉16 · ⭐ 3.2K · 💤) - Implementation and experiments of graph embedding.. MIT -- [GitHub](https://github.com/shenweichen/GraphEmbedding) (👨‍💻 9 · 🔀 910 · 📦 22 · 📋 64 - 60% open · ⏱️ 21.06.2022): +- [GitHub](https://github.com/shenweichen/GraphEmbedding) (👨‍💻 9 · 🔀 910 · 📦 23 · 📋 64 - 60% open · ⏱️ 21.06.2022): ``` git clone https://github.com/shenweichen/GraphEmbedding @@ -3303,14 +3333,14 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas ``` git clone https://github.com/vaticle/kglib ``` -- [PyPi](https://pypi.org/project/grakn-kglib) (📥 100 / month · ⏱️ 19.08.2020): +- [PyPi](https://pypi.org/project/grakn-kglib) (📥 99 / month · ⏱️ 19.08.2020): ``` pip install grakn-kglib ```
OpenKE (🥉15 · ⭐ 3.4K) - An Open-Source Package for Knowledge Embedding (KE). MIT -- [GitHub](https://github.com/thunlp/OpenKE) (👨‍💻 11 · 🔀 920 · 📋 360 - 2% open · ⏱️ 03.11.2022): +- [GitHub](https://github.com/thunlp/OpenKE) (👨‍💻 11 · 🔀 920 · 📋 360 - 3% open · ⏱️ 03.11.2022): ``` git clone https://github.com/thunlp/OpenKE @@ -3337,8 +3367,8 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas - DeepGraph (🥉16 · ⭐ 270 · 💀) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 - Euler (🥉15 · ⭐ 2.8K · 💀) - A distributed graph deep learning framework. Apache-2 - GraphSAGE (🥉14 · ⭐ 3K · 💀) - Representation learning on large graphs using stochastic graph.. MIT +- ptgnn (🥉14 · ⭐ 360 · 💀) - A PyTorch Graph Neural Network Library. MIT - GraphVite (🥉13 · ⭐ 1.1K · 💀) - GraphVite: A General and High-performance Graph Embedding.. Apache-2 -- ptgnn (🥉13 · ⭐ 360 · 💀) - A PyTorch Graph Neural Network Library. MIT

@@ -3350,28 +3380,40 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
espnet (🥇36 · ⭐ 6.2K) - End-to-End Speech Processing Toolkit. Apache-2 -- [GitHub](https://github.com/espnet/espnet) (👨‍💻 330 · 🔀 1.9K · 📥 77 · 📦 130 · 📋 2.1K - 20% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/espnet/espnet) (👨‍💻 340 · 🔀 1.9K · 📥 77 · 📦 130 · 📋 2.1K - 20% open · ⏱️ 15.03.2023): ``` git clone https://github.com/espnet/espnet ``` -- [PyPi](https://pypi.org/project/espnet) (📥 17K / month · 📦 4 · ⏱️ 28.05.2022): +- [PyPi](https://pypi.org/project/espnet) (📥 19K / month · 📦 5 · ⏱️ 28.05.2022): ``` pip install espnet ```
+
torchaudio (🥇35 · ⭐ 2K) - Data manipulation and transformation for audio signal.. BSD-2 + +- [GitHub](https://github.com/pytorch/audio) (👨‍💻 200 · 🔀 530 · 📋 810 - 28% open · ⏱️ 16.03.2023): + + ``` + git clone https://github.com/pytorch/audio + ``` +- [PyPi](https://pypi.org/project/torchaudio) (📥 700K / month · 📦 270 · ⏱️ 15.12.2022): + ``` + pip install torchaudio + ``` +
Pydub (🥇34 · ⭐ 6.9K) - Manipulate audio with a simple and easy high level interface. MIT -- [GitHub](https://github.com/jiaaro/pydub) (👨‍💻 95 · 🔀 890 · 📦 19K · 📋 540 - 51% open · ⏱️ 08.12.2022): +- [GitHub](https://github.com/jiaaro/pydub) (👨‍💻 95 · 🔀 900 · 📦 20K · 📋 540 - 51% open · ⏱️ 08.12.2022): ``` git clone https://github.com/jiaaro/pydub ``` -- [PyPi](https://pypi.org/project/pydub) (📥 4.6M / month · 📦 900 · ⏱️ 10.03.2021): +- [PyPi](https://pypi.org/project/pydub) (📥 5.4M / month · 📦 900 · ⏱️ 10.03.2021): ``` pip install pydub ``` -- [Conda](https://anaconda.org/conda-forge/pydub) (📥 41K · ⏱️ 13.03.2021): +- [Conda](https://anaconda.org/conda-forge/pydub) (📥 42K · ⏱️ 13.03.2021): ``` conda install -c conda-forge pydub ``` @@ -3387,26 +3429,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install librosa ``` -- [Conda](https://anaconda.org/conda-forge/librosa) (📥 590K · ⏱️ 20.02.2023): +- [Conda](https://anaconda.org/conda-forge/librosa) (📥 590K · ⏱️ 16.03.2023): ``` conda install -c conda-forge librosa ```
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torchaudio (🥇34 · ⭐ 2K) - Data manipulation and transformation for audio signal.. BSD-2 - -- [GitHub](https://github.com/pytorch/audio) (👨‍💻 200 · 🔀 520 · 📋 790 - 26% open · ⏱️ 09.03.2023): - - ``` - git clone https://github.com/pytorch/audio - ``` -- [PyPi](https://pypi.org/project/torchaudio) (📥 650K / month · 📦 180 · ⏱️ 15.12.2022): - ``` - pip install torchaudio - ``` -
SpeechRecognition (🥈33 · ⭐ 6.9K) - Speech recognition module for Python, supporting several.. BSD-3 -- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 49 · 🔀 2.2K · 📋 580 - 48% open · ⏱️ 12.01.2023): +- [GitHub](https://github.com/Uberi/speech_recognition) (👨‍💻 49 · 🔀 2.2K · 📋 580 - 48% open · ⏱️ 13.03.2023): ``` git clone https://github.com/Uberi/speech_recognition @@ -3415,26 +3445,26 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` pip install SpeechRecognition ``` -- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 160K · ⏱️ 04.12.2022): +- [Conda](https://anaconda.org/conda-forge/speechrecognition) (📥 160K · ⏱️ 14.03.2023): ``` conda install -c conda-forge speechrecognition ```
-
speechbrain (🥈33 · ⭐ 5.4K) - A PyTorch-based Speech Toolkit. Apache-2 +
speechbrain (🥈33 · ⭐ 5.5K) - A PyTorch-based Speech Toolkit. Apache-2 -- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 200 · 🔀 1K · 📦 530 · 📋 900 - 17% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/speechbrain/speechbrain) (👨‍💻 200 · 🔀 1K · 📦 530 · 📋 900 - 17% open · ⏱️ 15.03.2023): ``` git clone https://github.com/speechbrain/speechbrain ``` -- [PyPi](https://pypi.org/project/speechbrain) (📥 52K / month · 📦 7 · ⏱️ 29.08.2022): +- [PyPi](https://pypi.org/project/speechbrain) (📥 54K / month · 📦 7 · ⏱️ 29.08.2022): ``` pip install speechbrain ```
spleeter (🥈31 · ⭐ 22K) - Deezer source separation library including pretrained models. MIT -- [GitHub](https://github.com/deezer/spleeter) (👨‍💻 19 · 🔀 2.4K · 📥 2.2M · 📦 460 · 📋 730 - 25% open · ⏱️ 25.11.2022): +- [GitHub](https://github.com/deezer/spleeter) (👨‍💻 19 · 🔀 2.4K · 📥 2.2M · 📦 470 · 📋 740 - 25% open · ⏱️ 25.11.2022): ``` git clone https://github.com/deezer/spleeter @@ -3455,41 +3485,41 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/magenta ``` -- [PyPi](https://pypi.org/project/magenta) (📥 7.1K / month · 📦 38 · ⏱️ 01.08.2022): +- [PyPi](https://pypi.org/project/magenta) (📥 7K / month · 📦 38 · ⏱️ 01.08.2022): ``` pip install magenta ```
-
Coqui TTS (🥈31 · ⭐ 9K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 +
python-soundfile (🥈31 · ⭐ 530) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 -- [GitHub](https://github.com/coqui-ai/TTS) (👨‍💻 120 · 🔀 1K · 📥 590K · 📋 520 - 4% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 30 · 🔀 87 · 📥 14K · 📦 19K · 📋 200 - 42% open · ⏱️ 24.02.2023): ``` - git clone https://github.com/coqui-ai/TTS + git clone https://github.com/bastibe/python-soundfile ``` -- [PyPi](https://pypi.org/project/tts) (📥 16K / month · 📦 12 · ⏱️ 11.01.2023): +- [PyPi](https://pypi.org/project/soundfile) (📥 1.2M / month · 📦 95 · ⏱️ 27.09.2022): ``` - pip install tts + pip install soundfile ``` -- [Conda](https://anaconda.org/conda-forge/tts) (📥 6.6K · ⏱️ 15.12.2021): +- [Conda](https://anaconda.org/anaconda/pysoundfile): ``` - conda install -c conda-forge tts + conda install -c anaconda pysoundfile ```
-
python-soundfile (🥈31 · ⭐ 520) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3 +
Coqui TTS (🥈30 · ⭐ 9.2K) - - a deep learning toolkit for Text-to-Speech, battle-.. MPL-2.0 -- [GitHub](https://github.com/bastibe/python-soundfile) (👨‍💻 30 · 🔀 87 · 📥 14K · 📦 18K · 📋 200 - 42% open · ⏱️ 24.02.2023): +- [GitHub](https://github.com/coqui-ai/TTS) (👨‍💻 120 · 🔀 1.1K · 📥 610K · 📋 520 - 4% open · ⏱️ 15.03.2023): ``` - git clone https://github.com/bastibe/python-soundfile + git clone https://github.com/coqui-ai/TTS ``` -- [PyPi](https://pypi.org/project/soundfile) (📥 1.2M / month · 📦 95 · ⏱️ 27.09.2022): +- [PyPi](https://pypi.org/project/tts) (📥 17K / month · 📦 12 · ⏱️ 11.01.2023): ``` - pip install soundfile + pip install tts ``` -- [Conda](https://anaconda.org/anaconda/pysoundfile): +- [Conda](https://anaconda.org/conda-forge/tts) (📥 6.7K · ⏱️ 15.12.2021): ``` - conda install -c anaconda pysoundfile + conda install -c conda-forge tts ```
pyAudioAnalysis (🥈28 · ⭐ 5.2K) - Python Audio Analysis Library: Feature Extraction,.. Apache-2 @@ -3499,11 +3529,23 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/tyiannak/pyAudioAnalysis ``` -- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 16K / month · 📦 19 · ⏱️ 07.02.2022): +- [PyPi](https://pypi.org/project/pyAudioAnalysis) (📥 13K / month · 📦 19 · ⏱️ 07.02.2022): ``` pip install pyAudioAnalysis ```
+
audiomentations (🥈28 · ⭐ 1.3K) - A Python library for audio data augmentation. Inspired by.. MIT + +- [GitHub](https://github.com/iver56/audiomentations) (👨‍💻 23 · 🔀 160 · 📦 220 · 📋 150 - 28% open · ⏱️ 15.03.2023): + + ``` + git clone https://github.com/iver56/audiomentations + ``` +- [PyPi](https://pypi.org/project/audiomentations) (📥 8.3K / month · 📦 2 · ⏱️ 12.01.2023): + ``` + pip install audiomentations + ``` +
audioread (🥈28 · ⭐ 430) - cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding.. MIT - [GitHub](https://github.com/beetbox/audioread) (👨‍💻 23 · 🔀 100 · 📦 12K · 📋 87 - 40% open · ⏱️ 18.11.2022): @@ -3522,28 +3564,16 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Porcupine (🥉27 · ⭐ 2.9K) - On-device wake word detection powered by deep learning. Apache-2 -- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 34 · 🔀 410 · 📦 15 · 📋 420 - 0% open · ⏱️ 03.03.2023): +- [GitHub](https://github.com/Picovoice/porcupine) (👨‍💻 34 · 🔀 410 · 📦 15 · 📋 420 - 0% open · ⏱️ 15.03.2023): ``` git clone https://github.com/Picovoice/Porcupine ``` -- [PyPi](https://pypi.org/project/pvporcupine) (📥 1.8K / month · 📦 11 · ⏱️ 28.06.2022): +- [PyPi](https://pypi.org/project/pvporcupine) (📥 1.9K / month · 📦 11 · ⏱️ 28.06.2022): ``` pip install pvporcupine ```
-
audiomentations (🥉27 · ⭐ 1.3K) - A Python library for audio data augmentation. Inspired by.. MIT - -- [GitHub](https://github.com/iver56/audiomentations) (👨‍💻 23 · 🔀 160 · 📦 220 · 📋 150 - 28% open · ⏱️ 09.03.2023): - - ``` - git clone https://github.com/iver56/audiomentations - ``` -- [PyPi](https://pypi.org/project/audiomentations) (📥 7.4K / month · 📦 2 · ⏱️ 12.01.2023): - ``` - pip install audiomentations - ``` -
tinytag (🥉25 · ⭐ 580) - Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A,.. MIT - [GitHub](https://github.com/devsnd/tinytag) (👨‍💻 25 · 🔀 91 · 📦 710 · 📋 99 - 17% open · ⏱️ 15.01.2023): @@ -3551,7 +3581,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/devsnd/tinytag ``` -- [PyPi](https://pypi.org/project/tinytag) (📥 20K / month · 📦 70 · ⏱️ 12.03.2022): +- [PyPi](https://pypi.org/project/tinytag) (📥 19K / month · 📦 70 · ⏱️ 12.03.2022): ``` pip install tinytag ``` @@ -3563,7 +3593,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as ``` git clone https://github.com/magenta/ddsp ``` -- [PyPi](https://pypi.org/project/ddsp) (📥 3.4K / month · 📦 1 · ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/ddsp) (📥 3.7K / month · 📦 1 · ⏱️ 04.10.2022): ``` pip install ddsp ``` @@ -3572,38 +3602,38 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as conda install -c conda-forge ddsp ```
-
kapre (🥉22 · ⭐ 880 · 💤) - kapre: Keras Audio Preprocessors. MIT +
nnAudio (🥉23 · ⭐ 800) - Audio processing by using pytorch 1D convolution network. MIT -- [GitHub](https://github.com/keunwoochoi/kapre) (👨‍💻 13 · 🔀 140 · 📥 22 · 📦 2.2K · 📋 96 - 14% open · ⏱️ 04.07.2022): +- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 14 · 🔀 81 · 📦 82 · 📋 54 - 22% open · ⏱️ 16.03.2023): ``` - git clone https://github.com/keunwoochoi/kapre + git clone https://github.com/KinWaiCheuk/nnAudio ``` -- [PyPi](https://pypi.org/project/kapre) (📥 3.6K / month · 📦 14 · ⏱️ 21.01.2022): +- [PyPi](https://pypi.org/project/nnAudio) (📥 2.1K / month · 📦 1 · ⏱️ 09.10.2022): ``` - pip install kapre + pip install nnAudio ```
-
nnAudio (🥉22 · ⭐ 800) - Audio processing by using pytorch 1D convolution network. MIT +
kapre (🥉22 · ⭐ 880 · 💤) - kapre: Keras Audio Preprocessors. MIT -- [GitHub](https://github.com/KinWaiCheuk/nnAudio) (👨‍💻 13 · 🔀 80 · 📦 82 · 📋 54 - 24% open · ⏱️ 09.10.2022): +- [GitHub](https://github.com/keunwoochoi/kapre) (👨‍💻 13 · 🔀 140 · 📥 22 · 📦 2.2K · 📋 96 - 14% open · ⏱️ 04.07.2022): ``` - git clone https://github.com/KinWaiCheuk/nnAudio + git clone https://github.com/keunwoochoi/kapre ``` -- [PyPi](https://pypi.org/project/nnAudio) (📥 2.1K / month · 📦 1 · ⏱️ 09.10.2022): +- [PyPi](https://pypi.org/project/kapre) (📥 3.2K / month · 📦 14 · ⏱️ 21.01.2022): ``` - pip install nnAudio + pip install kapre ```
Julius (🥉19 · ⭐ 320) - Fast PyTorch based DSP for audio and 1D signals. MIT -- [GitHub](https://github.com/adefossez/julius) (👨‍💻 2 · 🔀 20 · 📦 260 · ⏱️ 19.09.2022): +- [GitHub](https://github.com/adefossez/julius) (👨‍💻 2 · 🔀 20 · 📦 270 · ⏱️ 19.09.2022): ``` git clone https://github.com/adefossez/julius ``` -- [PyPi](https://pypi.org/project/julius) (📥 64K / month · 📦 5 · ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/julius) (📥 69K / month · 📦 5 · ⏱️ 20.09.2022): ``` pip install julius ``` @@ -3618,8 +3648,8 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as - TTS (🥉23 · ⭐ 6.8K · 💀) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0 - python_speech_features (🥉23 · ⭐ 2.2K · 💀) - This library provides common speech features for ASR.. MIT - Dejavu (🥉22 · ⭐ 6K · 💀) - Audio fingerprinting and recognition in Python. MIT -- Muda (🥉17 · ⭐ 210 · 💀) - A library for augmenting annotated audio data. ISC -- textlesslib (🥉9 · ⭐ 390 · 💤) - Library for Textless Spoken Language Processing. MIT +- Muda (🥉17 · ⭐ 220 · 💀) - A library for augmenting annotated audio data. ISC +- textlesslib (🥉9 · ⭐ 400 · 💤) - Library for Textless Spoken Language Processing. MIT

@@ -3631,12 +3661,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (🥇42 · ⭐ 11K) - WebGL2 powered visualization framework. MIT -- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 220 · 🔀 1.9K · 📦 5.5K · 📋 2.6K - 7% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/visgl/deck.gl) (👨‍💻 220 · 🔀 1.9K · 📦 5.5K · 📋 2.6K - 7% open · ⏱️ 16.03.2023): ``` git clone https://github.com/visgl/deck.gl ``` -- [PyPi](https://pypi.org/project/pydeck) (📥 1.2M / month · 📦 37 · ⏱️ 04.11.2022): +- [PyPi](https://pypi.org/project/pydeck) (📥 1.2M / month · 📦 38 · ⏱️ 04.11.2022): ``` pip install pydeck ``` @@ -3644,35 +3674,35 @@ _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) (📥 400K / month · 📦 430 · ⏱️ 08.03.2023): +- [npm](https://www.npmjs.com/package/deck.gl) (📥 430K / month · 📦 430 · ⏱️ 16.03.2023): ``` npm install deck.gl ```
folium (🥇39 · ⭐ 6.1K) - Python Data. Leaflet.js Maps. MIT -- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 150 · 🔀 2.2K · 📦 22K · 📋 990 - 4% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/python-visualization/folium) (👨‍💻 150 · 🔀 2.2K · 📦 23K · 📋 1K - 5% open · ⏱️ 16.03.2023): ``` git clone https://github.com/python-visualization/folium ``` -- [PyPi](https://pypi.org/project/folium) (📥 920K / month · 📦 680 · ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/folium) (📥 890K / month · 📦 720 · ⏱️ 12.12.2022): ``` pip install folium ``` -- [Conda](https://anaconda.org/conda-forge/folium) (📥 1.7M · ⏱️ 13.12.2022): +- [Conda](https://anaconda.org/conda-forge/folium) (📥 1.8M · ⏱️ 13.12.2022): ``` conda install -c conda-forge folium ```
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GeoPandas (🥇38 · ⭐ 3.6K · 📈) - Python tools for geographic data. BSD-3 +
GeoPandas (🥇38 · ⭐ 3.6K) - Python tools for geographic data. BSD-3 -- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 190 · 🔀 780 · 📥 1.8K · 📦 20K · 📋 1.5K - 27% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/geopandas/geopandas) (👨‍💻 190 · 🔀 800 · 📥 1.8K · 📦 20K · 📋 1.5K - 27% open · ⏱️ 14.03.2023): ``` git clone https://github.com/geopandas/geopandas ``` -- [PyPi](https://pypi.org/project/geopandas) (📥 2.9M / month · 📦 1.4K · ⏱️ 10.12.2022): +- [PyPi](https://pypi.org/project/geopandas) (📥 3M / month · 📦 1.4K · ⏱️ 10.12.2022): ``` pip install geopandas ``` @@ -3683,12 +3713,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Rasterio (🥇38 · ⭐ 1.9K) - Rasterio reads and writes geospatial raster datasets. BSD-3 -- [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 140 · 🔀 510 · 📥 770 · 📦 6.9K · 📋 1.7K - 8% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/rasterio/rasterio) (👨‍💻 140 · 🔀 510 · 📥 770 · 📦 7K · 📋 1.7K - 8% open · ⏱️ 11.03.2023): ``` git clone https://github.com/rasterio/rasterio ``` -- [PyPi](https://pypi.org/project/rasterio) (📥 870K / month · 📦 900 · ⏱️ 13.02.2023): +- [PyPi](https://pypi.org/project/rasterio) (📥 880K / month · 📦 900 · ⏱️ 13.02.2023): ``` pip install rasterio ``` @@ -3697,34 +3727,34 @@ _Libraries to load, process, analyze, and write geographic data as well as libra conda install -c conda-forge rasterio ```
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Shapely (🥈37 · ⭐ 3.2K · 📉) - Manipulation and analysis of geometric objects. BSD-3 +
Shapely (🥈37 · ⭐ 3.2K) - Manipulation and analysis of geometric objects. BSD-3 -- [GitHub](https://github.com/shapely/shapely) (👨‍💻 140 · 🔀 520 · 📥 690 · 📦 42K · 📋 1K - 19% open · ⏱️ 27.02.2023): +- [GitHub](https://github.com/shapely/shapely) (👨‍💻 140 · 🔀 520 · 📥 720 · 📦 42K · 📋 1K - 19% open · ⏱️ 10.03.2023): ``` git clone https://github.com/shapely/shapely ``` -- [PyPi](https://pypi.org/project/shapely) (📥 9.9M / month · 📦 570 · ⏱️ 30.01.2023): +- [PyPi](https://pypi.org/project/shapely) (📥 9.9M / month · 📦 580 · ⏱️ 30.01.2023): ``` pip install shapely ``` -- [Conda](https://anaconda.org/conda-forge/shapely) (📥 5.7M · ⏱️ 30.01.2023): +- [Conda](https://anaconda.org/conda-forge/shapely) (📥 5.9M · ⏱️ 30.01.2023): ``` conda install -c conda-forge shapely ```
-
pyproj (🥈37 · ⭐ 860) - Python interface to PROJ (cartographic projections and coordinate.. MIT +
pyproj (🥈36 · ⭐ 860 · 📉) - Python interface to PROJ (cartographic projections and coordinate.. MIT -- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 58 · 🔀 190 · 📦 19K · 📋 550 - 4% open · ⏱️ 25.02.2023): +- [GitHub](https://github.com/pyproj4/pyproj) (👨‍💻 58 · 🔀 190 · 📦 19K · 📋 550 - 4% open · ⏱️ 15.03.2023): ``` git clone https://github.com/pyproj4/pyproj ``` -- [PyPi](https://pypi.org/project/pyproj) (📥 5.1M / month · 📦 1.7K · ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/pyproj) (📥 5.2M / month · 📦 1.9K · ⏱️ 13.12.2022): ``` pip install pyproj ``` -- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 5.4M · ⏱️ 17.01.2023): +- [Conda](https://anaconda.org/conda-forge/pyproj) (📥 5.5M · ⏱️ 17.01.2023): ``` conda install -c conda-forge pyproj ``` @@ -3736,16 +3766,16 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` git clone https://github.com/geopy/geopy ``` -- [PyPi](https://pypi.org/project/geopy) (📥 3.9M / month · 📦 4K · ⏱️ 13.11.2022): +- [PyPi](https://pypi.org/project/geopy) (📥 4M / month · 📦 4K · ⏱️ 13.11.2022): ``` pip install geopy ``` -- [Conda](https://anaconda.org/conda-forge/geopy) (📥 970K · ⏱️ 13.11.2022): +- [Conda](https://anaconda.org/conda-forge/geopy) (📥 980K · ⏱️ 13.11.2022): ``` conda install -c conda-forge geopy ```
-
Fiona (🥈35 · ⭐ 1K · 📉) - Fiona reads and writes geographic data files. BSD-3 +
Fiona (🥈35 · ⭐ 1K) - Fiona reads and writes geographic data files. BSD-3 - [GitHub](https://github.com/Toblerity/Fiona) (👨‍💻 66 · 🔀 200 · 📦 12K · 📋 730 - 5% open · ⏱️ 26.02.2023): @@ -3763,12 +3793,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (🥈32 · ⭐ 1.3K) - A Jupyter - Leaflet.js bridge. MIT -- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 82 · 🔀 350 · 📦 3.8K · 📋 560 - 41% open · ⏱️ 10.02.2023): +- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (👨‍💻 82 · 🔀 350 · 📦 3.9K · 📋 560 - 41% open · ⏱️ 10.02.2023): ``` git clone https://github.com/jupyter-widgets/ipyleaflet ``` -- [PyPi](https://pypi.org/project/ipyleaflet) (📥 170K / month · 📦 130 · ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/ipyleaflet) (📥 160K / month · 📦 130 · ⏱️ 19.10.2022): ``` pip install ipyleaflet ``` @@ -3776,12 +3806,12 @@ _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) (📥 60K / month · 📦 5 · ⏱️ 19.10.2022): +- [npm](https://www.npmjs.com/package/jupyter-leaflet) (📥 61K / month · 📦 5 · ⏱️ 19.10.2022): ``` npm install jupyter-leaflet ```
-
ArcGIS API (🥉31 · ⭐ 1.5K · 📉) - Documentation and samples for ArcGIS API for Python. Apache-2 +
ArcGIS API (🥉31 · ⭐ 1.5K) - Documentation and samples for ArcGIS API for Python. Apache-2 - [GitHub](https://github.com/Esri/arcgis-python-api) (👨‍💻 86 · 🔀 980 · 📥 7.5K · 📋 540 - 6% open · ⏱️ 01.03.2023): @@ -3792,12 +3822,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install arcgis ``` -- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (📥 7.9K · ⭐ 40 · ⏱️ 17.06.2022): +- [Docker Hub](https://hub.docker.com/r/esridocker/arcgis-api-python-notebook) (📥 8.3K · ⭐ 40 · ⏱️ 17.06.2022): ``` docker pull esridocker/arcgis-api-python-notebook ```
-
geojson (🥉31 · ⭐ 780) - Python bindings and utilities for GeoJSON. BSD-3 +
geojson (🥉31 · ⭐ 790) - Python bindings and utilities for GeoJSON. BSD-3 - [GitHub](https://github.com/jazzband/geojson) (👨‍💻 52 · 🔀 110 · 📦 12K · 📋 89 - 21% open · ⏱️ 16.02.2023): @@ -3815,7 +3845,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
PySAL (🥉27 · ⭐ 1.1K) - PySAL: Python Spatial Analysis Library Meta-Package. BSD-3 -- [GitHub](https://github.com/pysal/pysal) (👨‍💻 77 · 🔀 280 · 📋 610 - 1% open · ⏱️ 28.01.2023): +- [GitHub](https://github.com/pysal/pysal) (👨‍💻 78 · 🔀 280 · 📋 610 - 1% open · ⏱️ 15.03.2023): ``` git clone https://github.com/pysal/pysal @@ -3831,7 +3861,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
GeoViews (🥉27 · ⭐ 460) - Simple, concise geographical visualization in Python. BSD-3 -- [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 28 · 🔀 67 · 📦 600 · 📋 310 - 34% open · ⏱️ 17.01.2023): +- [GitHub](https://github.com/holoviz/geoviews) (👨‍💻 28 · 🔀 68 · 📦 610 · 📋 320 - 35% open · ⏱️ 17.01.2023): ``` git clone https://github.com/holoviz/geoviews @@ -3856,7 +3886,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra ``` pip install pymap3d ``` -- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 45K · ⏱️ 05.03.2023): +- [Conda](https://anaconda.org/conda-forge/pymap3d) (📥 46K · ⏱️ 05.03.2023): ``` conda install -c conda-forge pymap3d ``` @@ -3865,7 +3895,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra - Geocoder (🥈32 · ⭐ 1.5K · 💀) - Python Geocoder. MIT - Satpy (🥉30 · ⭐ 900) - Python package for earth-observing satellite data processing. ❗️GPL-3.0 -- Sentinelsat (🥉26 · ⭐ 850) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- Sentinelsat (🥉29 · ⭐ 860 · 📈) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 - EarthPy (🥉26 · ⭐ 420 · 💀) - A package built to support working with spatial data using open.. BSD-3 - prettymaps (🥉25 · ⭐ 9.2K) - A small set of Python functions to draw pretty maps from.. ❗️AGPL-3.0 - gmaps (🥉23 · ⭐ 750 · 💀) - Google maps for Jupyter notebooks. BSD-3 @@ -3882,12 +3912,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
yfinance (🥇39 · ⭐ 9.1K) - Download market data from Yahoo! Finances API. Apache-2 -- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 75 · 🔀 1.8K · 📦 20K · 📋 1K - 21% open · ⏱️ 21.02.2023): +- [GitHub](https://github.com/ranaroussi/yfinance) (👨‍💻 76 · 🔀 1.8K · 📦 20K · 📋 1K - 21% open · ⏱️ 09.03.2023): ``` git clone https://github.com/ranaroussi/yfinance ``` -- [PyPi](https://pypi.org/project/yfinance) (📥 710K / month · 📦 190 · ⏱️ 16.06.2022): +- [PyPi](https://pypi.org/project/yfinance) (📥 740K / month · 📦 190 · ⏱️ 16.06.2022): ``` pip install yfinance ``` @@ -3896,14 +3926,14 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te conda install -c ranaroussi yfinance ```
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Qlib (🥇31 · ⭐ 10K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT +
Qlib (🥇31 · ⭐ 11K) - Qlib is an AI-oriented quantitative investment platform, which aims to.. MIT -- [GitHub](https://github.com/microsoft/qlib) (👨‍💻 110 · 🔀 1.9K · 📥 340 · 📦 41 · 📋 730 - 29% open · ⏱️ 03.03.2023): +- [GitHub](https://github.com/microsoft/qlib) (👨‍💻 110 · 🔀 1.9K · 📥 340 · 📦 41 · 📋 740 - 29% open · ⏱️ 15.03.2023): ``` git clone https://github.com/microsoft/qlib ``` -- [PyPi](https://pypi.org/project/pyqlib) (📥 5.3K / month · ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/pyqlib) (📥 2.4K / month · ⏱️ 29.01.2023): ``` pip install pyqlib ``` @@ -3915,7 +3945,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/bukosabino/ta ``` -- [PyPi](https://pypi.org/project/ta) (📥 79K / month · 📦 40 · ⏱️ 23.08.2022): +- [PyPi](https://pypi.org/project/ta) (📥 80K / month · 📦 40 · ⏱️ 23.08.2022): ``` pip install ta ``` @@ -3926,12 +3956,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
bt (🥈29 · ⭐ 1.6K) - bt - flexible backtesting for Python. MIT -- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 27 · 🔀 340 · 📦 1.5K · 📋 310 - 22% open · ⏱️ 22.11.2022): +- [GitHub](https://github.com/pmorissette/bt) (👨‍💻 27 · 🔀 340 · 📦 1.5K · 📋 320 - 22% open · ⏱️ 22.11.2022): ``` git clone https://github.com/pmorissette/bt ``` -- [PyPi](https://pypi.org/project/bt) (📥 8.9K / month · 📦 21 · ⏱️ 21.04.2021): +- [PyPi](https://pypi.org/project/bt) (📥 8.5K / month · 📦 21 · ⏱️ 21.04.2021): ``` pip install bt ``` @@ -3942,12 +3972,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
IB-insync (🥈28 · ⭐ 2.1K) - Python sync/async framework for Interactive Brokers API. BSD-2 -- [GitHub](https://github.com/erdewit/ib_insync) (👨‍💻 33 · 🔀 530 · 📋 480 - 2% open · ⏱️ 15.02.2023): +- [GitHub](https://github.com/erdewit/ib_insync) (👨‍💻 33 · 🔀 540 · 📋 470 - 1% open · ⏱️ 15.02.2023): ``` git clone https://github.com/erdewit/ib_insync ``` -- [PyPi](https://pypi.org/project/ib_insync) (📥 14K / month · 📦 23 · ⏱️ 16.12.2022): +- [PyPi](https://pypi.org/project/ib_insync) (📥 15K / month · 📦 24 · ⏱️ 16.12.2022): ``` pip install ib_insync ``` @@ -3963,7 +3993,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/tensortrade-org/tensortrade ``` -- [PyPi](https://pypi.org/project/tensortrade) (📥 610 / month · 📦 1 · ⏱️ 10.05.2021): +- [PyPi](https://pypi.org/project/tensortrade) (📥 640 / month · 📦 1 · ⏱️ 10.05.2021): ``` pip install tensortrade ``` @@ -3983,7 +4013,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install ffn ``` -- [Conda](https://anaconda.org/conda-forge/ffn) (📥 2.6K · ⏱️ 22.04.2021): +- [Conda](https://anaconda.org/conda-forge/ffn) (📥 2.8K · ⏱️ 22.04.2021): ``` conda install -c conda-forge ffn ``` @@ -3995,7 +4025,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/gbeced/pyalgotrade ``` -- [PyPi](https://pypi.org/project/pyalgotrade) (📥 1.3K / month · 📦 21 · ⏱️ 21.08.2018): +- [PyPi](https://pypi.org/project/pyalgotrade) (📥 1.2K / month · 📦 21 · ⏱️ 21.08.2018): ``` pip install pyalgotrade ``` @@ -4011,31 +4041,31 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` pip install alpha_vantage ``` -- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 2.7K · ⏱️ 14.01.2021): +- [Conda](https://anaconda.org/conda-forge/alpha_vantage) (📥 2.8K · ⏱️ 14.01.2021): ``` conda install -c conda-forge alpha_vantage ```
stockstats (🥉25 · ⭐ 1.1K) - Supply a wrapper ``StockDataFrame`` based on the.. BSD-3 -- [GitHub](https://github.com/jealous/stockstats) (👨‍💻 9 · 🔀 270 · 📦 790 · 📋 97 - 16% open · ⏱️ 10.02.2023): +- [GitHub](https://github.com/jealous/stockstats) (👨‍💻 9 · 🔀 270 · 📦 800 · 📋 97 - 16% open · ⏱️ 10.02.2023): ``` git clone https://github.com/jealous/stockstats ``` -- [PyPi](https://pypi.org/project/stockstats) (📥 12K / month · 📦 30 · ⏱️ 19.11.2022): +- [PyPi](https://pypi.org/project/stockstats) (📥 11K / month · 📦 30 · ⏱️ 19.11.2022): ``` pip install stockstats ```
tf-quant-finance (🥉23 · ⭐ 3.7K) - High-performance TensorFlow library for quantitative.. Apache-2 -- [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 45 · 🔀 490 · 📋 56 - 53% open · ⏱️ 17.02.2023): +- [GitHub](https://github.com/google/tf-quant-finance) (👨‍💻 45 · 🔀 490 · 📋 57 - 52% open · ⏱️ 16.03.2023): ``` git clone https://github.com/google/tf-quant-finance ``` -- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 1.8K / month · 📦 2 · ⏱️ 19.08.2022): +- [PyPi](https://pypi.org/project/tf-quant-finance) (📥 1.9K / month · 📦 2 · ⏱️ 19.08.2022): ``` pip install tf-quant-finance ``` @@ -4059,7 +4089,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te ``` git clone https://github.com/cuemacro/finmarketpy ``` -- [PyPi](https://pypi.org/project/finmarketpy) (📥 88 / month · ⏱️ 07.10.2021): +- [PyPi](https://pypi.org/project/finmarketpy) (📥 89 / month · ⏱️ 07.10.2021): ``` pip install finmarketpy ``` @@ -4067,15 +4097,15 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Show 12 hidden projects... - zipline (🥇33 · ⭐ 16K · 💀) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2 -- pyfolio (🥈30 · ⭐ 4.8K · 💀) - Portfolio and risk analytics in Python. Apache-2 +- pyfolio (🥈30 · ⭐ 4.9K · 💀) - Portfolio and risk analytics in Python. Apache-2 - backtrader (🥈29 · ⭐ 10K · 💀) - Python Backtesting library for trading strategies. ❗️GPL-3.0 - arch (🥈28 · ⭐ 1.1K) - ARCH models in Python. ❗️NCSA - Alphalens (🥈26 · ⭐ 2.6K · 💀) - Performance analysis of predictive (alpha) stock factors. Apache-2 - Enigma Catalyst (🥈26 · ⭐ 2.4K · 💀) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2 - empyrical (🥈26 · ⭐ 1K · 💀) - Common financial risk and performance metrics. Used by zipline.. Apache-2 - FinTA (🥉23 · ⭐ 1.9K · 💤) - Common financial technical indicators implemented in Pandas. ❗️LGPL-3.0 -- Backtesting.py (🥉22 · ⭐ 3.4K) - Backtest trading strategies in Python. ❗️AGPL-3.0 -- FinQuant (🥉18 · ⭐ 910 · 💀) - A program for financial portfolio management, analysis and.. MIT +- Backtesting.py (🥉21 · ⭐ 3.4K) - Backtest trading strategies in Python. ❗️AGPL-3.0 +- FinQuant (🥉18 · ⭐ 920 · 💀) - A program for financial portfolio management, analysis and.. MIT - surpriver (🥉12 · ⭐ 1.6K · 💀) - Find big moving stocks before they move using machine.. ❗️GPL-3.0 - pyrtfolio (🥉8 · ⭐ 130 · 💀) - Python package to generate stock portfolios. ❗️GPL-3.0
@@ -4087,9 +4117,9 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te _Libraries for forecasting, anomaly detection, feature extraction, and machine learning on time-series and sequential data._ -
sktime (🥇37 · ⭐ 6.2K) - A unified framework for machine learning with time series. BSD-3 +
sktime (🥇37 · ⭐ 6.3K) - A unified framework for machine learning with time series. BSD-3 -- [GitHub](https://github.com/sktime/sktime) (👨‍💻 240 · 🔀 1K · 📥 78 · 📦 960 · 📋 1.6K - 33% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/sktime/sktime) (👨‍💻 240 · 🔀 1K · 📥 78 · 📦 980 · 📋 1.6K - 33% open · ⏱️ 15.03.2023): ``` git clone https://github.com/alan-turing-institute/sktime @@ -4098,14 +4128,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install sktime ``` -- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 260K · ⏱️ 24.02.2023): +- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (📥 280K · ⏱️ 24.02.2023): ``` conda install -c conda-forge sktime-all-extras ```
Prophet (🥇36 · ⭐ 16K) - Tool for producing high quality forecasts for time series data that has.. MIT -- [GitHub](https://github.com/facebook/prophet) (👨‍💻 160 · 🔀 4.4K · 📥 1.3K · 📋 2K - 15% open · ⏱️ 28.02.2023): +- [GitHub](https://github.com/facebook/prophet) (👨‍💻 160 · 🔀 4.4K · 📥 1.4K · 📋 2K - 15% open · ⏱️ 28.02.2023): ``` git clone https://github.com/facebook/prophet @@ -4114,58 +4144,58 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` pip install fbprophet ``` -- [Conda](https://anaconda.org/conda-forge/prophet) (📥 410K · ⏱️ 21.01.2023): +- [Conda](https://anaconda.org/conda-forge/prophet) (📥 430K · ⏱️ 21.01.2023): ``` conda install -c conda-forge prophet ```
NeuralProphet (🥇33 · ⭐ 2.8K) - NeuralProphet: A simple forecasting package. MIT -- [GitHub](https://github.com/ourownstory/neural_prophet) (👨‍💻 37 · 🔀 390 · 📦 190 · 📋 440 - 20% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/ourownstory/neural_prophet) (👨‍💻 37 · 🔀 390 · 📦 190 · 📋 440 - 20% open · ⏱️ 14.03.2023): ``` git clone https://github.com/ourownstory/neural_prophet ``` -- [PyPi](https://pypi.org/project/neuralprophet) (📥 160K / month · 📦 2 · ⏱️ 15.01.2023): +- [PyPi](https://pypi.org/project/neuralprophet) (📥 170K / month · 📦 2 · ⏱️ 15.01.2023): ``` pip install neuralprophet ```
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tsfresh (🥈32 · ⭐ 7.1K) - Automatic extraction of relevant features from time series:. MIT +
tsfresh (🥈32 · ⭐ 7.2K) - Automatic extraction of relevant features from time series:. MIT -- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 85 · 🔀 1.1K · 📋 520 - 12% open · ⏱️ 28.02.2023): +- [GitHub](https://github.com/blue-yonder/tsfresh) (👨‍💻 85 · 🔀 1.1K · 📋 520 - 11% open · ⏱️ 28.02.2023): ``` git clone https://github.com/blue-yonder/tsfresh ``` -- [PyPi](https://pypi.org/project/tsfresh) (📥 310K / month · 📦 64 · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/tsfresh) (📥 290K / month · 📦 71 · ⏱️ 02.01.2023): ``` pip install tsfresh ``` -- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 600K · ⏱️ 31.12.2022): +- [Conda](https://anaconda.org/conda-forge/tsfresh) (📥 620K · ⏱️ 31.12.2022): ``` conda install -c conda-forge tsfresh ```
pmdarima (🥈32 · ⭐ 1.3K) - A statistical library designed to fill the void in Pythons time series.. MIT -- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 22 · 🔀 220 · 📦 4.8K · 📋 300 - 12% open · ⏱️ 20.12.2022): +- [GitHub](https://github.com/alkaline-ml/pmdarima) (👨‍💻 22 · 🔀 220 · 📦 4.8K · 📋 310 - 13% open · ⏱️ 15.03.2023): ``` git clone https://github.com/alkaline-ml/pmdarima ``` -- [PyPi](https://pypi.org/project/pmdarima) (📥 1.8M / month · 📦 63 · ⏱️ 28.11.2022): +- [PyPi](https://pypi.org/project/pmdarima) (📥 1.8M / month · 📦 70 · ⏱️ 28.11.2022): ``` pip install pmdarima ``` -- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 330K · ⏱️ 30.11.2022): +- [Conda](https://anaconda.org/conda-forge/pmdarima) (📥 350K · ⏱️ 30.11.2022): ``` conda install -c conda-forge pmdarima ```
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Darts (🥈31 · ⭐ 5.5K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 +
Darts (🥈31 · ⭐ 5.6K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2 -- [GitHub](https://github.com/unit8co/darts) (👨‍💻 82 · 🔀 600 · 📦 200 · 📋 930 - 22% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/unit8co/darts) (👨‍💻 82 · 🔀 610 · 📦 210 · 📋 950 - 22% open · ⏱️ 12.03.2023): ``` git clone https://github.com/unit8co/darts @@ -4190,7 +4220,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/awslabs/gluon-ts ``` -- [PyPi](https://pypi.org/project/gluonts) (📥 150K / month · 📦 12 · ⏱️ 30.06.2022): +- [PyPi](https://pypi.org/project/gluonts) (📥 140K / month · 📦 13 · ⏱️ 30.06.2022): ``` pip install gluonts ``` @@ -4201,16 +4231,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
STUMPY (🥈31 · ⭐ 2.6K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3 -- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨‍💻 32 · 🔀 250 · 📦 370 · 📋 400 - 13% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/TDAmeritrade/stumpy) (👨‍💻 32 · 🔀 250 · 📦 370 · 📋 410 - 14% open · ⏱️ 15.03.2023): ``` git clone https://github.com/TDAmeritrade/stumpy ``` -- [PyPi](https://pypi.org/project/stumpy) (📥 200K / month · 📦 6 · ⏱️ 31.03.2022): +- [PyPi](https://pypi.org/project/stumpy) (📥 200K / month · 📦 11 · ⏱️ 31.03.2022): ``` pip install stumpy ``` -- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 300K · ⏱️ 31.03.2022): +- [Conda](https://anaconda.org/conda-forge/stumpy) (📥 320K · ⏱️ 31.03.2022): ``` conda install -c conda-forge stumpy ``` @@ -4222,45 +4252,45 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/tslearn-team/tslearn ``` -- [PyPi](https://pypi.org/project/tslearn) (📥 180K / month · 📦 28 · ⏱️ 20.01.2023): +- [PyPi](https://pypi.org/project/tslearn) (📥 200K / month · 📦 28 · ⏱️ 20.01.2023): ``` pip install tslearn ``` -- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 580K · ⏱️ 20.01.2023): +- [Conda](https://anaconda.org/conda-forge/tslearn) (📥 610K · ⏱️ 20.01.2023): ``` conda install -c conda-forge tslearn ```
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StatsForecast (🥈29 · ⭐ 2.3K) - Lightning fast forecasting with statistical and econometric.. Apache-2 +
pytorch-forecasting (🥈27 · ⭐ 2.7K) - Time series forecasting with PyTorch. MIT -- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 18 · 🔀 150 · 📦 170 · 📋 140 - 38% open · ⏱️ 04.03.2023): +- [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨‍💻 33 · 🔀 450 · 📋 620 - 57% open · ⏱️ 17.11.2022): ``` - git clone https://github.com/Nixtla/statsforecast + git clone https://github.com/jdb78/pytorch-forecasting ``` -- [PyPi](https://pypi.org/project/statsforecast) (📥 320K / month · 📦 12 · ⏱️ 01.12.2022): +- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 91K / month · 📦 9 · ⏱️ 07.09.2022): ``` - pip install statsforecast + pip install pytorch-forecasting ``` -- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 28K · ⏱️ 09.03.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 38K · ⏱️ 23.05.2022): ``` - conda install -c conda-forge statsforecast + conda install -c conda-forge pytorch-forecasting ```
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pytorch-forecasting (🥈27 · ⭐ 2.6K) - Time series forecasting with PyTorch. MIT +
StatsForecast (🥈27 · ⭐ 2.3K · 📉) - Lightning fast forecasting with statistical and.. Apache-2 -- [GitHub](https://github.com/jdb78/pytorch-forecasting) (👨‍💻 33 · 🔀 450 · 📋 620 - 57% open · ⏱️ 17.11.2022): +- [GitHub](https://github.com/Nixtla/statsforecast) (👨‍💻 20 · 🔀 150 · 📦 180 · 📋 140 - 38% open · ⏱️ 14.03.2023): ``` - git clone https://github.com/jdb78/pytorch-forecasting + git clone https://github.com/Nixtla/statsforecast ``` -- [PyPi](https://pypi.org/project/pytorch-forecasting) (📥 92K / month · 📦 9 · ⏱️ 07.09.2022): +- [PyPi](https://pypi.org/project/statsforecast) (📥 330K / month · 📦 12 · ⏱️ 01.12.2022): ``` - pip install pytorch-forecasting + pip install statsforecast ``` -- [Conda](https://anaconda.org/conda-forge/pytorch-forecasting) (📥 38K · ⏱️ 23.05.2022): +- [Conda](https://anaconda.org/conda-forge/statsforecast) (📥 29K · ⏱️ 09.03.2023): ``` - conda install -c conda-forge pytorch-forecasting + conda install -c conda-forge statsforecast ```
uber/orbit (🥈26 · ⭐ 1.6K) - A Python package for Bayesian forecasting with object-oriented.. Apache-2 @@ -4270,7 +4300,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (📥 140K / month · 📦 1 · ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (📥 150K / month · 📦 1 · ⏱️ 29.01.2023): ``` pip install orbit-ml ``` @@ -4279,14 +4309,14 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l conda install -c conda-forge orbit-ml ```
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pyts (🥈26 · ⭐ 1.4K) - A Python package for time series classification. BSD-3 +
pyts (🥈26 · ⭐ 1.5K) - A Python package for time series classification. BSD-3 - [GitHub](https://github.com/johannfaouzi/pyts) (👨‍💻 13 · 🔀 150 · 📦 340 · 📋 72 - 55% open · ⏱️ 07.02.2023): ``` git clone https://github.com/johannfaouzi/pyts ``` -- [PyPi](https://pypi.org/project/pyts) (📥 91K / month · 📦 19 · ⏱️ 31.10.2021): +- [PyPi](https://pypi.org/project/pyts) (📥 97K / month · 📦 19 · ⏱️ 31.10.2021): ``` pip install pyts ``` @@ -4297,56 +4327,56 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
Streamz (🥉25 · ⭐ 1.1K) - Real-time stream processing for python. BSD-3 -- [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 48 · 🔀 140 · 📦 370 · 📋 260 - 41% open · ⏱️ 22.12.2022): +- [GitHub](https://github.com/python-streamz/streamz) (👨‍💻 48 · 🔀 140 · 📦 380 · 📋 260 - 41% open · ⏱️ 22.12.2022): ``` git clone https://github.com/python-streamz/streamz ``` -- [PyPi](https://pypi.org/project/streamz) (📥 17K / month · 📦 36 · ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/streamz) (📥 16K / month · 📦 37 · ⏱️ 27.07.2022): ``` pip install streamz ``` -- [Conda](https://anaconda.org/conda-forge/streamz) (📥 560K · ⏱️ 28.07.2022): +- [Conda](https://anaconda.org/conda-forge/streamz) (📥 570K · ⏱️ 28.07.2022): ``` conda install -c conda-forge streamz ```
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NeuralForecast (🥉24 · ⭐ 1.2K) - Scalable and user friendly neural forecasting algorithms. Apache-2 +
NeuralForecast (🥉24 · ⭐ 1.3K) - Scalable and user friendly neural forecasting algorithms. Apache-2 -- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 23 · 🔀 120 · 📦 13 · 📋 180 - 19% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/Nixtla/neuralforecast) (👨‍💻 23 · 🔀 120 · 📦 13 · 📋 190 - 20% open · ⏱️ 15.03.2023): ``` git clone https://github.com/Nixtla/neuralforecast ``` -- [PyPi](https://pypi.org/project/neuralforecast) (📥 4.2K / month · 📦 1 · ⏱️ 15.12.2022): +- [PyPi](https://pypi.org/project/neuralforecast) (📥 4.4K / month · 📦 2 · ⏱️ 15.12.2022): ``` pip install neuralforecast ``` -- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 4.7K · ⏱️ 15.02.2023): +- [Conda](https://anaconda.org/conda-forge/neuralforecast) (📥 4.8K · ⏱️ 15.02.2023): ``` conda install -c conda-forge neuralforecast ```
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TSFEL (🥉23 · ⭐ 620) - An intuitive library to extract features from time series. BSD-3 +
TSFEL (🥉23 · ⭐ 630) - An intuitive library to extract features from time series. BSD-3 - [GitHub](https://github.com/fraunhoferportugal/tsfel) (👨‍💻 17 · 🔀 120 · 📦 73 · 📋 66 - 28% open · ⏱️ 02.03.2023): ``` git clone https://github.com/fraunhoferportugal/tsfel ``` -- [PyPi](https://pypi.org/project/tsfel) (📥 9.9K / month · ⏱️ 14.02.2021): +- [PyPi](https://pypi.org/project/tsfel) (📥 10K / month · ⏱️ 14.02.2021): ``` pip install tsfel ```
tick (🥉22 · ⭐ 420) - Module for statistical learning, with a particular emphasis on time-.. BSD-3 -- [GitHub](https://github.com/X-DataInitiative/tick) (👨‍💻 18 · 🔀 89 · 📥 240 · 📦 68 · 📋 230 - 27% open · ⏱️ 05.03.2023): +- [GitHub](https://github.com/X-DataInitiative/tick) (👨‍💻 18 · 🔀 91 · 📥 250 · 📦 68 · 📋 230 - 27% open · ⏱️ 05.03.2023): ``` git clone https://github.com/X-DataInitiative/tick ``` -- [PyPi](https://pypi.org/project/tick) (📥 1.1K / month · 📦 1 · ⏱️ 24.05.2020): +- [PyPi](https://pypi.org/project/tick) (📥 1.2K / month · 📦 1 · ⏱️ 24.05.2020): ``` pip install tick ``` @@ -4358,7 +4388,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/linkedin/greykite ``` -- [PyPi](https://pypi.org/project/greykite) (📥 12K / month · ⏱️ 15.07.2022): +- [PyPi](https://pypi.org/project/greykite) (📥 13K / month · ⏱️ 15.07.2022): ``` pip install greykite ``` @@ -4370,19 +4400,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l ``` git clone https://github.com/dmbee/seglearn ``` -- [PyPi](https://pypi.org/project/seglearn) (📥 840 / month · 📦 1 · ⏱️ 27.08.2022): +- [PyPi](https://pypi.org/project/seglearn) (📥 810 / month · 📦 1 · ⏱️ 27.08.2022): ``` pip install seglearn ```
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Auto TS (🥉18 · ⭐ 550) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 +
Auto TS (🥉18 · ⭐ 560) - Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost.. Apache-2 - [GitHub](https://github.com/AutoViML/Auto_TS) (👨‍💻 8 · 🔀 97 · 📋 82 - 12% open · ⏱️ 05.03.2023): ``` git clone https://github.com/AutoViML/Auto_TS ``` -- [PyPi](https://pypi.org/project/auto-ts) (📥 5.6K / month · ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/auto-ts) (📥 4.7K / month · ⏱️ 16.08.2022): ``` pip install auto-ts ``` @@ -4392,9 +4422,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l - PyFlux (🥉24 · ⭐ 2K · 💀) - Open source time series library for Python. BSD-3 - pydlm (🥉22 · ⭐ 440 · 💀) - A python library for Bayesian time series modeling. BSD-3 - luminol (🥉21 · ⭐ 1.1K · 💀) - Anomaly Detection and Correlation library. Apache-2 -- ADTK (🥉19 · ⭐ 910 · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 +- ADTK (🥉19 · ⭐ 920 · 💀) - A Python toolkit for rule-based/unsupervised anomaly detection in time.. MPL-2.0 - matrixprofile-ts (🥉19 · ⭐ 700 · 💀) - A Python library for detecting patterns and anomalies.. Apache-2 -- tsflex (🥉19 · ⭐ 230) - Flexible time series feature extraction & processing. MIT +- tsflex (🥉19 · ⭐ 240) - Flexible time series feature extraction & processing. MIT - tsaug (🥉15 · ⭐ 290 · 💀) - A Python package for time series augmentation. Apache-2 - atspy (🥉13 · ⭐ 480 · 💀) - AtsPy: Automated Time Series Models in Python (by @firmai). MIT - tslumen (🥉8 · ⭐ 48 · 🐣) - A library for Time Series EDA (exploratory data analysis). Apache-2 @@ -4409,12 +4439,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (🥇38 · ⭐ 2.2K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3 -- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 330 · 🔀 1.2K · 📦 2.4K · 📋 4.4K - 10% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/mne-tools/mne-python) (👨‍💻 330 · 🔀 1.2K · 📦 2.4K · 📋 4.4K - 10% open · ⏱️ 15.03.2023): ``` git clone https://github.com/mne-tools/mne-python ``` -- [PyPi](https://pypi.org/project/mne) (📥 61K / month · 📦 250 · ⏱️ 22.12.2022): +- [PyPi](https://pypi.org/project/mne) (📥 64K / month · 📦 250 · ⏱️ 22.12.2022): ``` pip install mne ``` @@ -4425,12 +4455,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Nilearn (🥇35 · ⭐ 940) - Machine learning for NeuroImaging in Python. BSD-3 -- [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 210 · 🔀 490 · 📥 91 · 📦 2.1K · 📋 1.7K - 16% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/nilearn/nilearn) (👨‍💻 210 · 🔀 490 · 📥 93 · 📦 2.1K · 📋 1.7K - 16% open · ⏱️ 16.03.2023): ``` git clone https://github.com/nilearn/nilearn ``` -- [PyPi](https://pypi.org/project/nilearn) (📥 35K / month · 📦 260 · ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/nilearn) (📥 37K / month · 📦 260 · ⏱️ 06.01.2023): ``` pip install nilearn ``` @@ -4441,12 +4471,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NiBabel (🥇35 · ⭐ 530) - Python package to access a cacophony of neuro-imaging file formats. MIT -- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 96 · 🔀 250 · 📦 10K · 📋 510 - 29% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/nipy/nibabel) (👨‍💻 96 · 🔀 250 · 📦 10K · 📋 510 - 28% open · ⏱️ 13.03.2023): ``` git clone https://github.com/nipy/nibabel ``` -- [PyPi](https://pypi.org/project/nibabel) (📥 220K / month · 📦 1.1K · ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/nibabel) (📥 230K / month · 📦 1.1K · ⏱️ 09.01.2023): ``` pip install nibabel ``` @@ -4455,18 +4485,18 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge nibabel ```
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MONAI (🥈34 · ⭐ 3.8K) - AI Toolkit for Healthcare Imaging. Apache-2 +
MONAI (🥈34 · ⭐ 3.9K) - AI Toolkit for Healthcare Imaging. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 140 · 🔀 740 · 📦 770 · 📋 2.3K - 11% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/Project-MONAI/MONAI) (👨‍💻 140 · 🔀 740 · 📦 780 · 📋 2.4K - 12% open · ⏱️ 16.03.2023): ``` git clone https://github.com/Project-MONAI/MONAI ``` -- [PyPi](https://pypi.org/project/monai) (📥 94K / month · 📦 38 · ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/monai) (📥 110K / month · 📦 40 · ⏱️ 19.12.2022): ``` pip install monai ``` -- [Conda](https://anaconda.org/conda-forge/monai) (📥 9.8K · ⏱️ 19.12.2022): +- [Conda](https://anaconda.org/conda-forge/monai) (📥 10K · ⏱️ 19.12.2022): ``` conda install -c conda-forge monai ``` @@ -4478,7 +4508,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic ``` git clone https://github.com/nipy/nipype ``` -- [PyPi](https://pypi.org/project/nipype) (📥 80K / month · 📦 160 · ⏱️ 21.09.2022): +- [PyPi](https://pypi.org/project/nipype) (📥 79K / month · 📦 160 · ⏱️ 21.09.2022): ``` pip install nipype ``` @@ -4487,9 +4517,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c conda-forge nipype ```
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Lifelines (🥈32 · ⭐ 2K) - Survival analysis in Python. MIT +
Lifelines (🥈32 · ⭐ 2.1K) - Survival analysis in Python. MIT -- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 100 · 🔀 520 · 📦 1.4K · 📋 900 - 26% open · ⏱️ 16.02.2023): +- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (👨‍💻 100 · 🔀 520 · 📦 1.5K · 📋 900 - 26% open · ⏱️ 14.03.2023): ``` git clone https://github.com/CamDavidsonPilon/lifelines @@ -4505,19 +4535,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (🥈32 · ⭐ 870) - Scalable genomic data analysis. MIT -- [GitHub](https://github.com/hail-is/hail) (👨‍💻 84 · 🔀 230 · 📦 93 · 📋 2.1K - 2% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/hail-is/hail) (👨‍💻 84 · 🔀 230 · 📦 93 · 📋 2.1K - 2% open · ⏱️ 16.03.2023): ``` git clone https://github.com/hail-is/hail ``` -- [PyPi](https://pypi.org/project/hail) (📥 42K / month · 📦 13 · ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/hail) (📥 43K / month · 📦 13 · ⏱️ 17.01.2023): ``` pip install hail ```
DIPY (🥈32 · ⭐ 580) - DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic.. BSD-3 -- [GitHub](https://github.com/dipy/dipy) (👨‍💻 140 · 🔀 360 · 📦 720 · 📋 840 - 18% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/dipy/dipy) (👨‍💻 140 · 🔀 360 · 📦 720 · 📋 840 - 17% open · ⏱️ 08.03.2023): ``` git clone https://github.com/dipy/dipy @@ -4533,7 +4563,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
DeepVariant (🥉27 · ⭐ 2.7K) - DeepVariant is an analysis pipeline that uses a deep neural.. BSD-3 -- [GitHub](https://github.com/google/deepvariant) (👨‍💻 26 · 🔀 660 · 📥 4.6K · 📋 560 - 1% open · ⏱️ 28.02.2023): +- [GitHub](https://github.com/google/deepvariant) (👨‍💻 26 · 🔀 660 · 📥 4.6K · 📋 570 - 1% open · ⏱️ 28.02.2023): ``` git clone https://github.com/google/deepvariant @@ -4543,9 +4573,9 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic conda install -c bioconda deepvariant ```
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pyRiemann (🥉26 · ⭐ 470) - Python machine learning package based on sklearn API for multivariate.. BSD-3 +
pyRiemann (🥉26 · ⭐ 470) - Machine learning for multivariate data analysis through the.. BSD-3 -- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 25 · 🔀 140 · 📦 230 · 📋 93 - 7% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/pyRiemann/pyRiemann) (👨‍💻 25 · 🔀 140 · 📦 230 · 📋 93 - 7% open · ⏱️ 13.03.2023): ``` git clone https://github.com/pyRiemann/pyRiemann @@ -4586,7 +4616,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic - DLTK (🥉21 · ⭐ 1.4K · 💀) - Deep Learning Toolkit for Medical Image Analysis. Apache-2 - Brainiak (🥉21 · ⭐ 290 · 💀) - Brain Imaging Analysis Kit. Apache-2 - Glow (🥉20 · ⭐ 220) - An open-source toolkit for large-scale genomic analysis. Apache-2 -- MedicalTorch (🥉16 · ⭐ 810 · 💀) - A medical imaging framework for Pytorch. Apache-2 +- MedicalTorch (🥉15 · ⭐ 810 · 💀) - A medical imaging framework for Pytorch. Apache-2 - DeepNeuro (🥉13 · ⭐ 110 · 💀) - A deep learning python package for neuroimaging data. Made by:. MIT - MedicalNet (🥉12 · ⭐ 1.6K · 💀) - Many studies have shown that the performance on deep learning is.. MIT
@@ -4600,24 +4630,24 @@ _Libraries for processing tabular and structured data._
carefree-learn (🥇23 · ⭐ 390) - Deep Learning PyTorch. MIT -- [GitHub](https://github.com/carefree0910/carefree-learn) (👨‍💻 1 · 🔀 37 · 📦 3 · ⏱️ 09.03.2023): +- [GitHub](https://github.com/carefree0910/carefree-learn) (👨‍💻 1 · 🔀 37 · 📦 3 · ⏱️ 16.03.2023): ``` git clone https://github.com/carefree0910/carefree-learn ``` -- [PyPi](https://pypi.org/project/carefree-learn) (📥 1.7K / month · ⏱️ 20.06.2022): +- [PyPi](https://pypi.org/project/carefree-learn) (📥 2K / month · ⏱️ 20.06.2022): ``` pip install carefree-learn ```
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pytorch_tabular (🥉21 · ⭐ 840) - A standard framework for modelling Deep Learning Models.. MIT +
pytorch_tabular (🥉21 · ⭐ 850) - A standard framework for modelling Deep Learning Models.. MIT -- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 15 · 🔀 96 · 📥 3 · 📋 97 - 13% open · ⏱️ 05.02.2023): +- [GitHub](https://github.com/manujosephv/pytorch_tabular) (👨‍💻 15 · 🔀 98 · 📥 3 · 📋 98 - 14% open · ⏱️ 15.03.2023): ``` git clone https://github.com/manujosephv/pytorch_tabular ``` -- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 2.3K / month · 📦 1 · ⏱️ 20.01.2023): +- [PyPi](https://pypi.org/project/pytorch_tabular) (📥 2.4K / month · 📦 1 · ⏱️ 20.01.2023): ``` pip install pytorch_tabular ``` @@ -4629,7 +4659,7 @@ _Libraries for processing tabular and structured data._ ``` git clone https://github.com/firmai/deltapy ``` -- [PyPi](https://pypi.org/project/deltapy) (📥 87 / month · ⏱️ 09.04.2020): +- [PyPi](https://pypi.org/project/deltapy) (📥 95 / month · ⏱️ 09.04.2020): ``` pip install deltapy ``` @@ -4649,12 +4679,12 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
PaddleOCR (🥇35 · ⭐ 29K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 150 · 🔀 5.9K · 📦 1.2K · 📋 6.8K - 20% open · ⏱️ 03.03.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (👨‍💻 150 · 🔀 5.9K · 📦 1.2K · 📋 6.9K - 20% open · ⏱️ 15.03.2023): ``` git clone https://github.com/PaddlePaddle/PaddleOCR ``` -- [PyPi](https://pypi.org/project/paddleocr) (📥 40K / month · 📦 20 · ⏱️ 14.12.2022): +- [PyPi](https://pypi.org/project/paddleocr) (📥 39K / month · 📦 20 · ⏱️ 14.12.2022): ``` pip install paddleocr ``` @@ -4666,19 +4696,19 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/JaidedAI/EasyOCR ``` -- [PyPi](https://pypi.org/project/easyocr) (📥 150K / month · 📦 53 · ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/easyocr) (📥 160K / month · 📦 53 · ⏱️ 20.09.2022): ``` pip install easyocr ```
OCRmyPDF (🥈32 · ⭐ 8.4K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0 -- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 79 · 🔀 670 · 📦 480 · 📋 940 - 11% open · ⏱️ 15.02.2023): +- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (👨‍💻 79 · 🔀 670 · 📦 490 · 📋 940 - 11% open · ⏱️ 15.02.2023): ``` git clone https://github.com/ocrmypdf/OCRmyPDF ``` -- [PyPi](https://pypi.org/project/ocrmypdf) (📥 26K / month · 📦 16 · ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/ocrmypdf) (📥 27K / month · 📦 16 · ⏱️ 04.01.2023): ``` pip install ocrmypdf ``` @@ -4687,14 +4717,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag conda install -c conda-forge ocrmypdf ```
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Tesseract (🥈32 · ⭐ 4.7K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 +
Tesseract (🥈31 · ⭐ 4.7K) - Python-tesseract is an optical character recognition (OCR) tool.. Apache-2 - [GitHub](https://github.com/madmaze/pytesseract) (👨‍💻 43 · 🔀 640 · 📋 330 - 7% open · ⏱️ 07.03.2023): ``` git clone https://github.com/madmaze/pytesseract ``` -- [PyPi](https://pypi.org/project/pytesseract) (📥 760K / month · 📦 970 · ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/pytesseract) (📥 750K / month · 📦 1K · ⏱️ 16.08.2022): ``` pip install pytesseract ``` @@ -4705,24 +4735,24 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
MMOCR (🥈30 · ⭐ 3.2K) - OpenMMLab Text Detection, Recognition and Understanding Toolbox. Apache-2 -- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 73 · 🔀 610 · 📦 41 · 📋 800 - 15% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/open-mmlab/mmocr) (👨‍💻 73 · 🔀 610 · 📦 43 · 📋 810 - 14% open · ⏱️ 07.03.2023): ``` git clone https://github.com/open-mmlab/mmocr ``` -- [PyPi](https://pypi.org/project/mmocr) (📥 13K / month · 📦 2 · ⏱️ 06.01.2023): +- [PyPi](https://pypi.org/project/mmocr) (📥 11K / month · 📦 2 · ⏱️ 06.01.2023): ``` pip install mmocr ```
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tesserocr (🥉28 · ⭐ 1.8K · 💤) - A Python wrapper for the tesseract-ocr API. MIT +
tesserocr (🥉29 · ⭐ 1.8K) - A Python wrapper for the tesseract-ocr API. MIT -- [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 27 · 🔀 240 · 📦 810 · 📋 250 - 30% open · ⏱️ 26.08.2022): +- [GitHub](https://github.com/sirfz/tesserocr) (👨‍💻 27 · 🔀 240 · 📦 810 · 📋 260 - 30% open · ⏱️ 14.03.2023): ``` git clone https://github.com/sirfz/tesserocr ``` -- [PyPi](https://pypi.org/project/tesserocr) (📥 45K / month · 📦 67 · ⏱️ 19.06.2021): +- [PyPi](https://pypi.org/project/tesserocr) (📥 45K / month · 📦 71 · ⏱️ 19.06.2021): ``` pip install tesserocr ``` @@ -4733,7 +4763,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
keras-ocr (🥉27 · ⭐ 1.1K) - A packaged and flexible version of the CRAFT text detector and.. MIT -- [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 17 · 🔀 300 · 📥 470K · 📦 200 · 📋 190 - 41% open · ⏱️ 24.12.2022): +- [GitHub](https://github.com/faustomorales/keras-ocr) (👨‍💻 17 · 🔀 300 · 📥 480K · 📦 210 · 📋 190 - 41% open · ⏱️ 24.12.2022): ``` git clone https://github.com/faustomorales/keras-ocr @@ -4754,7 +4784,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag ``` git clone https://github.com/WZBSocialScienceCenter/pdftabextract ``` -- [PyPi](https://pypi.org/project/pdftabextract) (📥 290 / month · 📦 1 · ⏱️ 09.01.2018): +- [PyPi](https://pypi.org/project/pdftabextract) (📥 280 / month · 📦 1 · ⏱️ 09.01.2018): ``` pip install pdftabextract ``` @@ -4773,7 +4803,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
Mozart (🥉10 · ⭐ 450 · 💤) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 -- [GitHub](https://github.com/aashrafh/Mozart) (👨‍💻 5 · 🔀 66 · 📋 13 - 15% open · ⏱️ 24.08.2022): +- [GitHub](https://github.com/aashrafh/Mozart) (👨‍💻 5 · 🔀 67 · 📋 13 - 15% open · ⏱️ 24.08.2022): ``` git clone https://github.com/aashrafh/Mozart @@ -4832,14 +4862,14 @@ _Libraries for data batch- and stream-processing, workflow automation, job sched _Libraries that provide capabilities to distribute and parallelize machine learning tasks across large-scale compute infrastructure._ -
Ray (🥇44 · ⭐ 24K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 +
Ray (🥇44 · ⭐ 25K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2 -- [GitHub](https://github.com/ray-project/ray) (👨‍💻 820 · 🔀 4.3K · 📥 23 · 📦 8.5K · 📋 13K - 21% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/ray-project/ray) (👨‍💻 830 · 🔀 4.3K · 📥 30 · 📦 8.6K · 📋 13K - 21% open · ⏱️ 16.03.2023): ``` git clone https://github.com/ray-project/ray ``` -- [PyPi](https://pypi.org/project/ray) (📥 2.2M / month · 📦 440 · ⏱️ 24.02.2023): +- [PyPi](https://pypi.org/project/ray) (📥 2.3M / month · 📦 450 · ⏱️ 24.02.2023): ``` pip install ray ``` @@ -4850,7 +4880,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask (🥇43 · ⭐ 11K) - Parallel computing with task scheduling. BSD-3 -- [GitHub](https://github.com/dask/dask) (👨‍💻 580 · 🔀 1.6K · 📦 47K · 📋 4.8K - 18% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/dask/dask) (👨‍💻 580 · 🔀 1.6K · 📦 47K · 📋 4.8K - 18% open · ⏱️ 15.03.2023): ``` git clone https://github.com/dask/dask @@ -4859,23 +4889,23 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` pip install dask ``` -- [Conda](https://anaconda.org/conda-forge/dask) (📥 8.1M · ⏱️ 02.03.2023): +- [Conda](https://anaconda.org/conda-forge/dask) (📥 8.2M · ⏱️ 10.03.2023): ``` conda install -c conda-forge dask ```
dask.distributed (🥇40 · ⭐ 1.4K) - A distributed task scheduler for Dask. BSD-3 -- [GitHub](https://github.com/dask/distributed) (👨‍💻 310 · 🔀 680 · 📦 28K · 📋 3.5K - 39% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/dask/distributed) (👨‍💻 310 · 🔀 680 · 📦 28K · 📋 3.5K - 39% open · ⏱️ 15.03.2023): ``` git clone https://github.com/dask/distributed ``` -- [PyPi](https://pypi.org/project/distributed) (📥 4.7M / month · 📦 1.2K · ⏱️ 27.01.2023): +- [PyPi](https://pypi.org/project/distributed) (📥 4.8M / month · 📦 1.2K · ⏱️ 27.01.2023): ``` pip install distributed ``` -- [Conda](https://anaconda.org/conda-forge/distributed) (📥 9.7M · ⏱️ 01.03.2023): +- [Conda](https://anaconda.org/conda-forge/distributed) (📥 9.8M · ⏱️ 10.03.2023): ``` conda install -c conda-forge distributed ``` @@ -4892,30 +4922,30 @@ _Libraries that provide capabilities to distribute and parallelize machine learn pip install horovod ```
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DeepSpeed (🥈37 · ⭐ 9.3K) - DeepSpeed is a deep learning optimization library that makes.. MIT +
DeepSpeed (🥇38 · ⭐ 9.5K) - DeepSpeed is a deep learning optimization library that makes.. MIT -- [GitHub](https://github.com/microsoft/DeepSpeed) (👨‍💻 160 · 🔀 1.1K · 📦 960 · 📋 1.4K - 48% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/microsoft/DeepSpeed) (👨‍💻 160 · 🔀 1.1K · 📦 990 · 📋 1.4K - 48% open · ⏱️ 15.03.2023): ``` git clone https://github.com/microsoft/DeepSpeed ``` -- [PyPi](https://pypi.org/project/deepspeed) (📥 380K / month · 📦 29 · ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/deepspeed) (📥 380K / month · 📦 31 · ⏱️ 17.01.2023): ``` pip install deepspeed ``` -- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 15K · ⭐ 3 · ⏱️ 02.09.2022): +- [Docker Hub](https://hub.docker.com/r/deepspeed/deepspeed) (📥 16K · ⭐ 3 · ⏱️ 02.09.2022): ``` docker pull deepspeed/deepspeed ```
BigDL (🥈35 · ⭐ 4.2K) - Fast, distributed, secure AI for Big Data. Apache-2 -- [GitHub](https://github.com/intel-analytics/BigDL) (👨‍💻 180 · 🔀 1.1K · 📦 42 · 📋 1.9K - 38% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/intel-analytics/BigDL) (👨‍💻 180 · 🔀 1.1K · 📦 42 · 📋 1.9K - 38% open · ⏱️ 16.03.2023): ``` git clone https://github.com/intel-analytics/BigDL ``` -- [PyPi](https://pypi.org/project/bigdl) (📥 4.3K / month · 📦 1 · ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/bigdl) (📥 4.4K / month · 📦 1 · ⏱️ 07.07.2022): ``` pip install bigdl ``` @@ -4928,66 +4958,66 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ```
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metrics (🥈35 · ⭐ 1.3K) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 - -- [GitHub](https://github.com/Lightning-AI/metrics) (👨‍💻 190 · 🔀 290 · 📥 1.4K · 📦 8.7K · 📋 560 - 10% open · ⏱️ 09.03.2023): - - ``` - git clone https://github.com/Lightning-AI/metrics - ``` -- [PyPi](https://pypi.org/project/metrics) (📥 9.2K / month · 📦 14 · ⏱️ 28.04.2018): - ``` - pip install metrics - ``` -- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 720K · ⏱️ 01.03.2023): - ``` - conda install -c conda-forge torchmetrics - ``` -
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H2O-3 (🥈33 · ⭐ 6.2K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 +
H2O-3 (🥈32 · ⭐ 6.2K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2 -- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 240 · 🔀 1.9K · ⏱️ 09.03.2023): +- [GitHub](https://github.com/h2oai/h2o-3) (👨‍💻 240 · 🔀 1.9K · ⏱️ 15.03.2023): ``` git clone https://github.com/h2oai/h2o-3 ``` -- [PyPi](https://pypi.org/project/h2o) (📥 400K / month · 📦 80 · ⏱️ 08.02.2023): +- [PyPi](https://pypi.org/project/h2o) (📥 410K / month · 📦 81 · ⏱️ 08.02.2023): ``` pip install h2o ```
FairScale (🥈32 · ⭐ 2.1K) - PyTorch extensions for high performance and large scale training. BSD-3 -- [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 68 · 🔀 200 · 📦 1.6K · 📋 340 - 19% open · ⏱️ 28.02.2023): +- [GitHub](https://github.com/facebookresearch/fairscale) (👨‍💻 69 · 🔀 210 · 📦 1.6K · 📋 340 - 18% open · ⏱️ 10.03.2023): ``` git clone https://github.com/facebookresearch/fairscale ``` -- [PyPi](https://pypi.org/project/fairscale) (📥 600K / month · 📦 26 · ⏱️ 11.12.2022): +- [PyPi](https://pypi.org/project/fairscale) (📥 550K / month · 📦 26 · ⏱️ 11.12.2022): ``` pip install fairscale ``` -- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 95K · ⏱️ 12.12.2022): +- [Conda](https://anaconda.org/conda-forge/fairscale) (📥 97K · ⏱️ 12.12.2022): ``` conda install -c conda-forge fairscale ```
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ColossalAI (🥈31 · ⭐ 18K) - Making large AI models cheaper, faster and more accessible. Apache-2 +
ColossalAI (🥈31 · ⭐ 19K) - Making large AI models cheaper, faster and more accessible. Apache-2 -- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 100 · 🔀 1.9K · 📦 180 · 📋 670 - 40% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/hpcaitech/ColossalAI) (👨‍💻 110 · 🔀 2K · 📦 180 · 📋 700 - 40% open · ⏱️ 15.03.2023): ``` git clone https://github.com/hpcaitech/colossalai ```
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metrics (🥈31 · ⭐ 1.3K · 📉) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 + +- [GitHub](https://github.com/Lightning-AI/metrics) (👨‍💻 190 · 🔀 290 · 📥 1.5K · 📋 570 - 11% open · ⏱️ 16.03.2023): + + ``` + git clone https://github.com/Lightning-AI/metrics + ``` +- [PyPi](https://pypi.org/project/metrics) (📥 13K / month · 📦 14 · ⏱️ 28.04.2018): + ``` + pip install metrics + ``` +- [Conda](https://anaconda.org/conda-forge/torchmetrics) (📥 740K · ⏱️ 13.03.2023): + ``` + conda install -c conda-forge torchmetrics + ``` +
SynapseML (🥈30 · ⭐ 3.9K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 110 · 🔀 730 · 📋 650 - 42% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 110 · 🔀 730 · 📋 660 - 42% open · ⏱️ 15.03.2023): ``` git clone https://github.com/microsoft/SynapseML ``` -- [PyPi](https://pypi.org/project/synapseml) (📥 72K / month · 📦 3 · ⏱️ 22.11.2022): +- [PyPi](https://pypi.org/project/synapseml) (📥 76K / month · 📦 3 · ⏱️ 22.11.2022): ``` pip install synapseml ``` @@ -4999,7 +5029,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/maxpumperla/elephas ``` -- [PyPi](https://pypi.org/project/elephas) (📥 69K / month · 📦 3 · ⏱️ 04.03.2023): +- [PyPi](https://pypi.org/project/elephas) (📥 74K / month · 📦 3 · ⏱️ 04.03.2023): ``` pip install elephas ``` @@ -5008,46 +5038,46 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge elephas ```
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mpi4py (🥈29 · ⭐ 610) - Python bindings for MPI. BSD-2 +
mpi4py (🥈29 · ⭐ 620) - Python bindings for MPI. BSD-2 -- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 23 · 🔀 90 · 📥 10K · 📋 110 - 8% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/mpi4py/mpi4py) (👨‍💻 23 · 🔀 94 · 📥 10K · 📋 110 - 8% open · ⏱️ 16.03.2023): ``` git clone https://github.com/mpi4py/mpi4py ``` -- [PyPi](https://pypi.org/project/mpi4py) (📥 170K / month · 📦 630 · ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/mpi4py) (📥 170K / month · 📦 680 · ⏱️ 02.11.2022): ``` pip install mpi4py ``` -- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 1.7M · ⏱️ 03.11.2022): +- [Conda](https://anaconda.org/conda-forge/mpi4py) (📥 1.8M · ⏱️ 03.11.2022): ``` conda install -c conda-forge mpi4py ```
dask-ml (🥉28 · ⭐ 840) - Scalable Machine Learning with Dask. BSD-3 -- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 77 · 🔀 240 · 📦 760 · 📋 510 - 51% open · ⏱️ 10.02.2023): +- [GitHub](https://github.com/dask/dask-ml) (👨‍💻 77 · 🔀 240 · 📦 770 · 📋 510 - 51% open · ⏱️ 10.02.2023): ``` git clone https://github.com/dask/dask-ml ``` -- [PyPi](https://pypi.org/project/dask-ml) (📥 190K / month · 📦 65 · ⏱️ 27.05.2022): +- [PyPi](https://pypi.org/project/dask-ml) (📥 180K / month · 📦 65 · ⏱️ 27.05.2022): ``` pip install dask-ml ``` -- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 670K · ⏱️ 27.05.2022): +- [Conda](https://anaconda.org/conda-forge/dask-ml) (📥 680K · ⏱️ 27.05.2022): ``` conda install -c conda-forge dask-ml ```
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TensorFlowOnSpark (🥉27 · ⭐ 3.8K · 💤) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 +
TensorFlowOnSpark (🥉27 · ⭐ 3.9K · 💤) - TensorFlowOnSpark brings TensorFlow programs to.. Apache-2 - [GitHub](https://github.com/yahoo/TensorFlowOnSpark) (👨‍💻 34 · 🔀 960 · 📋 360 - 2% open · ⏱️ 21.04.2022): ``` git clone https://github.com/yahoo/TensorFlowOnSpark ``` -- [PyPi](https://pypi.org/project/tensorflowonspark) (📥 210K / month · 📦 5 · ⏱️ 21.04.2022): +- [PyPi](https://pypi.org/project/tensorflowonspark) (📥 200K / month · 📦 5 · ⏱️ 21.04.2022): ``` pip install tensorflowonspark ``` @@ -5056,26 +5086,26 @@ _Libraries that provide capabilities to distribute and parallelize machine learn conda install -c conda-forge tensorflowonspark ```
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petastorm (🥉27 · ⭐ 1.6K) - Petastorm library enables single machine or distributed training.. Apache-2 +
petastorm (🥉26 · ⭐ 1.6K) - Petastorm library enables single machine or distributed training.. Apache-2 -- [GitHub](https://github.com/uber/petastorm) (👨‍💻 48 · 🔀 270 · 📥 350 · 📦 110 · 📋 320 - 53% open · ⏱️ 03.02.2023): +- [GitHub](https://github.com/uber/petastorm) (👨‍💻 48 · 🔀 270 · 📥 360 · 📦 110 · 📋 320 - 53% open · ⏱️ 03.02.2023): ``` git clone https://github.com/uber/petastorm ``` -- [PyPi](https://pypi.org/project/petastorm) (📥 42K / month · 📦 9 · ⏱️ 03.02.2023): +- [PyPi](https://pypi.org/project/petastorm) (📥 40K / month · 📦 9 · ⏱️ 03.02.2023): ``` pip install petastorm ```
Hivemind (🥉26 · ⭐ 1.4K) - Decentralized deep learning in PyTorch. Built to train models on.. MIT -- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 27 · 🔀 88 · 📦 54 · 📋 150 - 34% open · ⏱️ 14.02.2023): +- [GitHub](https://github.com/learning-at-home/hivemind) (👨‍💻 28 · 🔀 88 · 📦 55 · 📋 150 - 34% open · ⏱️ 11.03.2023): ``` git clone https://github.com/learning-at-home/hivemind ``` -- [PyPi](https://pypi.org/project/hivemind) (📥 7.4K / month · 📦 4 · ⏱️ 07.01.2023): +- [PyPi](https://pypi.org/project/hivemind) (📥 6.5K / month · 📦 4 · ⏱️ 07.01.2023): ``` pip install hivemind ``` @@ -5087,19 +5117,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` git clone https://github.com/tensorflow/mesh ``` -- [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 38K / month · 📦 32 · ⏱️ 15.05.2022): +- [PyPi](https://pypi.org/project/mesh-tensorflow) (📥 37K / month · 📦 32 · ⏱️ 15.05.2022): ``` pip install mesh-tensorflow ```
Submit it (🥉25 · ⭐ 800) - Python 3.6+ toolbox for submitting jobs to Slurm. MIT -- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 23 · 🔀 92 · 📦 1K · 📋 95 - 29% open · ⏱️ 28.09.2022): +- [GitHub](https://github.com/facebookincubator/submitit) (👨‍💻 23 · 🔀 92 · 📦 1K · 📋 96 - 29% open · ⏱️ 28.09.2022): ``` git clone https://github.com/facebookincubator/submitit ``` -- [PyPi](https://pypi.org/project/submitit) (📥 51K / month · 📦 9 · ⏱️ 20.07.2022): +- [PyPi](https://pypi.org/project/submitit) (📥 54K / month · 📦 9 · ⏱️ 20.07.2022): ``` pip install submitit ``` @@ -5110,7 +5140,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
MMLSpark (🥉23 · ⭐ 3.9K) - Simple and Distributed Machine Learning. MIT -- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 110 · 🔀 730 · 📋 650 - 42% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/microsoft/SynapseML) (👨‍💻 110 · 🔀 730 · 📋 660 - 42% open · ⏱️ 15.03.2023): ``` git clone https://github.com/microsoft/SynapseML @@ -5127,12 +5157,12 @@ _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) (📥 470 / month · 📦 1 · ⏱️ 22.08.2022): +- [PyPi](https://pypi.org/project/analytics-zoo) (📥 400 / month · 📦 1 · ⏱️ 22.08.2022): ``` pip install analytics-zoo ```
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Apache Singa (🥉21 · ⭐ 2.7K · 💤) - a distributed deep learning platform. Apache-2 +
Apache Singa (🥉21 · ⭐ 2.8K · 💤) - a distributed deep learning platform. Apache-2 - [GitHub](https://github.com/apache/singa) (👨‍💻 79 · 🔀 880 · 📦 2 · 📋 100 - 37% open · ⏱️ 01.06.2022): @@ -5143,32 +5173,40 @@ _Libraries that provide capabilities to distribute and parallelize machine learn ``` conda install -c nusdbsystem singa ``` -- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 2.7K · ⭐ 4 · ⏱️ 31.05.2022): +- [Docker Hub](https://hub.docker.com/r/apache/singa) (📥 2.8K · ⭐ 4 · ⏱️ 31.05.2022): ``` docker pull apache/singa ```
parallelformers (🥉17 · ⭐ 620 · 💤) - Parallelformers: An Efficient Model Parallelization.. Apache-2 -- [GitHub](https://github.com/tunib-ai/parallelformers) (👨‍💻 5 · 🔀 46 · 📦 16 · 📋 39 - 56% open · ⏱️ 27.07.2022): +- [GitHub](https://github.com/tunib-ai/parallelformers) (👨‍💻 5 · 🔀 46 · 📦 17 · 📋 39 - 56% open · ⏱️ 27.07.2022): ``` git clone https://github.com/tunib-ai/parallelformers ``` -- [PyPi](https://pypi.org/project/parallelformers) (📥 1.6K / month · ⏱️ 27.07.2022): +- [PyPi](https://pypi.org/project/parallelformers) (📥 1.5K / month · ⏱️ 27.07.2022): ``` pip install parallelformers ```
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mesh-transformer-jax (🥉16 · ⭐ 5.4K) - Model parallel transformers in JAX and Haiku. Apache-2 +
mesh-transformer-jax (🥉16 · ⭐ 5.5K) - Model parallel transformers in JAX and Haiku. Apache-2 -- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (👨‍💻 23 · 🔀 770 · 📋 200 - 21% open · ⏱️ 12.01.2023): +- [GitHub](https://github.com/kingoflolz/mesh-transformer-jax) (👨‍💻 23 · 🔀 780 · 📋 200 - 21% open · ⏱️ 12.01.2023): ``` git clone https://github.com/kingoflolz/mesh-transformer-jax ```
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Show 12 hidden projects... +
moolib (🥉10 · ⭐ 350) - A library for distributed ML training with PyTorch. MIT + +- [GitHub](https://github.com/facebookresearch/moolib) (👨‍💻 6 · 🔀 16 · 📦 3 · 📋 18 - 33% open · ⏱️ 12.12.2022): + + ``` + git clone https://github.com/facebookresearch/moolib + ``` +
+
Show 11 hidden projects... - DEAP (🥈31 · ⭐ 5K) - Distributed Evolutionary Algorithms in Python. ❗️LGPL-3.0 - ipyparallel (🥈29 · ⭐ 2.4K) - IPython Parallel: Interactive Parallel Computing in.. ❗Unlicensed @@ -5181,7 +5219,6 @@ _Libraries that provide capabilities to distribute and parallelize machine learn - bluefog (🥉16 · ⭐ 280 · 💤) - Distributed and decentralized training framework for PyTorch.. Apache-2 - LazyCluster (🥉14 · ⭐ 44 · 💀) - Distributed machine learning made simple. Apache-2 - autodist (🥉11 · ⭐ 130 · 💀) - Simple Distributed Deep Learning on TensorFlow. Apache-2 -- moolib (🥉9 · ⭐ 350) - A library for distributed ML training with PyTorch. MIT

@@ -5191,9 +5228,9 @@ _Libraries that provide capabilities to distribute and parallelize machine learn _Libraries for hyperparameter optimization, automl and neural architecture search._ -
Optuna (🥇40 · ⭐ 7.7K) - A hyperparameter optimization framework. MIT +
Optuna (🥇40 · ⭐ 7.8K) - A hyperparameter optimization framework. MIT -- [GitHub](https://github.com/optuna/optuna) (👨‍💻 230 · 🔀 810 · 📦 6.8K · 📋 1.4K - 8% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/optuna/optuna) (👨‍💻 230 · 🔀 810 · 📦 6.9K · 📋 1.4K - 8% open · ⏱️ 16.03.2023): ``` git clone https://github.com/optuna/optuna @@ -5202,31 +5239,31 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install optuna ``` -- [Conda](https://anaconda.org/conda-forge/optuna) (📥 400K · ⏱️ 20.01.2023): +- [Conda](https://anaconda.org/conda-forge/optuna) (📥 410K · ⏱️ 20.01.2023): ``` conda install -c conda-forge optuna ```
NNI (🥇36 · ⭐ 13K) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT -- [GitHub](https://github.com/microsoft/nni) (👨‍💻 190 · 🔀 1.8K · 📦 350 · 📋 1.9K - 14% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/microsoft/nni) (👨‍💻 190 · 🔀 1.8K · 📦 360 · 📋 1.9K - 14% open · ⏱️ 16.03.2023): ``` git clone https://github.com/microsoft/nni ``` -- [PyPi](https://pypi.org/project/nni) (📥 15K / month · 📦 37 · ⏱️ 14.11.2022): +- [PyPi](https://pypi.org/project/nni) (📥 16K / month · 📦 37 · ⏱️ 14.11.2022): ``` pip install nni ```
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featuretools (🥇35 · ⭐ 6.5K) - An open source python library for automated feature engineering. BSD-3 +
featuretools (🥇35 · ⭐ 6.6K) - An open source python library for automated feature engineering. BSD-3 -- [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 69 · 🔀 840 · 📦 1.3K · 📋 920 - 18% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/alteryx/featuretools) (👨‍💻 69 · 🔀 840 · 📦 1.3K · 📋 930 - 17% open · ⏱️ 15.03.2023): ``` git clone https://github.com/alteryx/featuretools ``` -- [PyPi](https://pypi.org/project/featuretools) (📥 72K / month · 📦 72 · ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/featuretools) (📥 69K / month · 📦 73 · ⏱️ 31.01.2023): ``` pip install featuretools ``` @@ -5237,7 +5274,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
AutoKeras (🥇34 · ⭐ 8.8K) - AutoML library for deep learning. Apache-2 -- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 140 · 🔀 1.4K · 📥 13K · 📦 450 · 📋 870 - 13% open · ⏱️ 22.02.2023): +- [GitHub](https://github.com/keras-team/autokeras) (👨‍💻 140 · 🔀 1.4K · 📥 14K · 📦 450 · 📋 870 - 13% open · ⏱️ 15.03.2023): ``` git clone https://github.com/keras-team/autokeras @@ -5249,23 +5286,23 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Keras Tuner (🥇34 · ⭐ 2.7K) - A Hyperparameter Tuning Library for Keras. Apache-2 -- [GitHub](https://github.com/keras-team/keras-tuner) (👨‍💻 55 · 🔀 360 · 📦 2K · 📋 440 - 42% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/keras-team/keras-tuner) (👨‍💻 55 · 🔀 360 · 📦 2.1K · 📋 440 - 42% open · ⏱️ 15.03.2023): ``` git clone https://github.com/keras-team/keras-tuner ``` -- [PyPi](https://pypi.org/project/keras-tuner) (📥 770K / month · 📦 52 · ⏱️ 28.01.2023): +- [PyPi](https://pypi.org/project/keras-tuner) (📥 610K / month · 📦 53 · ⏱️ 28.01.2023): ``` pip install keras-tuner ``` -- [Conda](https://anaconda.org/conda-forge/keras-tuner) (📥 14K · ⏱️ 23.02.2023): +- [Conda](https://anaconda.org/conda-forge/keras-tuner) (📥 15K · ⏱️ 23.02.2023): ``` conda install -c conda-forge keras-tuner ```
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BoTorch (🥇33 · ⭐ 2.5K) - Bayesian optimization in PyTorch. MIT +
BoTorch (🥇33 · ⭐ 2.6K) - Bayesian optimization in PyTorch. MIT -- [GitHub](https://github.com/pytorch/botorch) (👨‍💻 88 · 🔀 310 · 📦 460 · 📋 390 - 19% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/pytorch/botorch) (👨‍💻 89 · 🔀 310 · 📦 470 · 📋 390 - 18% open · ⏱️ 16.03.2023): ``` git clone https://github.com/pytorch/botorch @@ -5274,30 +5311,30 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` pip install botorch ``` -- [Conda](https://anaconda.org/conda-forge/botorch) (📥 59K · ⏱️ 24.02.2023): +- [Conda](https://anaconda.org/conda-forge/botorch) (📥 60K · ⏱️ 16.03.2023): ``` conda install -c conda-forge botorch ```
Ax (🥇33 · ⭐ 2K) - Adaptive Experimentation Platform. MIT -- [GitHub](https://github.com/facebook/Ax) (👨‍💻 140 · 🔀 250 · 📦 420 · 📋 540 - 12% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/facebook/Ax) (👨‍💻 140 · 🔀 250 · 📦 420 · 📋 520 - 7% open · ⏱️ 16.03.2023): ``` git clone https://github.com/facebook/Ax ``` -- [PyPi](https://pypi.org/project/ax-platform) (📥 150K / month · 📦 21 · ⏱️ 01.03.2023): +- [PyPi](https://pypi.org/project/ax-platform) (📥 150K / month · 📦 22 · ⏱️ 01.03.2023): ``` pip install ax-platform ``` -- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 6.8K · ⏱️ 02.03.2023): +- [Conda](https://anaconda.org/conda-forge/ax-platform) (📥 6.9K · ⏱️ 02.03.2023): ``` conda install -c conda-forge ax-platform ```
auto-sklearn (🥈32 · ⭐ 6.8K) - Automated Machine Learning with scikit-learn. BSD-3 -- [GitHub](https://github.com/automl/auto-sklearn) (👨‍💻 88 · 🔀 1.2K · 📥 41 · 📦 410 · 📋 960 - 15% open · ⏱️ 07.12.2022): +- [GitHub](https://github.com/automl/auto-sklearn) (👨‍💻 88 · 🔀 1.2K · 📥 42 · 📦 410 · 📋 960 - 15% open · ⏱️ 07.12.2022): ``` git clone https://github.com/automl/auto-sklearn @@ -5313,28 +5350,28 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
Bayesian Optimization (🥈32 · ⭐ 6.6K) - A Python implementation of global optimization with.. MIT -- [GitHub](https://github.com/fmfn/BayesianOptimization) (👨‍💻 38 · 🔀 1.4K · 📥 120 · 📦 1.7K · 📋 300 - 6% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/fmfn/BayesianOptimization) (👨‍💻 38 · 🔀 1.4K · 📥 120 · 📦 1.7K · 📋 300 - 7% open · ⏱️ 06.03.2023): ``` git clone https://github.com/fmfn/BayesianOptimization ``` -- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 180K / month · 📦 100 · ⏱️ 04.12.2022): +- [PyPi](https://pypi.org/project/bayesian-optimization) (📥 190K / month · 📦 100 · ⏱️ 04.12.2022): ``` pip install bayesian-optimization ```
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AutoGluon (🥈30 · ⭐ 5.4K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 +
AutoGluon (🥈30 · ⭐ 5.5K) - AutoGluon: AutoML for Image, Text, Time Series, and.. Apache-2 -- [GitHub](https://github.com/autogluon/autogluon) (👨‍💻 100 · 🔀 700 · 📋 960 - 21% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/autogluon/autogluon) (👨‍💻 100 · 🔀 700 · 📋 970 - 22% open · ⏱️ 16.03.2023): ``` git clone https://github.com/autogluon/autogluon ``` -- [PyPi](https://pypi.org/project/autogluon) (📥 32K / month · 📦 5 · ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/autogluon) (📥 34K / month · 📦 5 · ⏱️ 07.07.2022): ``` pip install autogluon ``` -- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 2.7K · ⭐ 11 · ⏱️ 08.02.2023): +- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (📥 2.8K · ⭐ 11 · ⏱️ 08.02.2023): ``` docker pull autogluon/autogluon ``` @@ -5346,7 +5383,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/facebookresearch/nevergrad ``` -- [PyPi](https://pypi.org/project/nevergrad) (📥 31K / month · 📦 23 · ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/nevergrad) (📥 33K / month · 📦 23 · ⏱️ 08.03.2022): ``` pip install nevergrad ``` @@ -5355,42 +5392,42 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge nevergrad ```
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Hyperas (🥈27 · ⭐ 2.2K) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT +
mljar-supervised (🥈27 · ⭐ 2.5K) - Python package for AutoML on Tabular Data with Feature.. MIT -- [GitHub](https://github.com/maxpumperla/hyperas) (👨‍💻 22 · 🔀 320 · 📦 290 · 📋 250 - 37% open · ⏱️ 05.01.2023): +- [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 20 · 🔀 330 · 📦 65 · 📋 530 - 22% open · ⏱️ 30.12.2022): ``` - git clone https://github.com/maxpumperla/hyperas + git clone https://github.com/mljar/mljar-supervised ``` -- [PyPi](https://pypi.org/project/hyperas) (📥 12K / month · 📦 24 · ⏱️ 28.02.2019): +- [PyPi](https://pypi.org/project/mljar-supervised) (📥 8.2K / month · 📦 2 · ⏱️ 02.01.2023): ``` - pip install hyperas + pip install mljar-supervised + ``` +- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 6.9K · ⏱️ 30.12.2022): + ``` + conda install -c conda-forge mljar-supervised ```
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mljar-supervised (🥈26 · ⭐ 2.5K) - Python package for AutoML on Tabular Data with Feature.. MIT +
Hyperas (🥈27 · ⭐ 2.2K) - Keras + Hyperopt: A very simple wrapper for convenient.. MIT -- [GitHub](https://github.com/mljar/mljar-supervised) (👨‍💻 20 · 🔀 320 · 📦 64 · 📋 530 - 22% open · ⏱️ 30.12.2022): +- [GitHub](https://github.com/maxpumperla/hyperas) (👨‍💻 22 · 🔀 320 · 📦 290 · 📋 250 - 37% open · ⏱️ 05.01.2023): ``` - git clone https://github.com/mljar/mljar-supervised - ``` -- [PyPi](https://pypi.org/project/mljar-supervised) (📥 6.4K / month · 📦 2 · ⏱️ 02.01.2023): - ``` - pip install mljar-supervised + git clone https://github.com/maxpumperla/hyperas ``` -- [Conda](https://anaconda.org/conda-forge/mljar-supervised) (📥 6.9K · ⏱️ 30.12.2022): +- [PyPi](https://pypi.org/project/hyperas) (📥 12K / month · 📦 24 · ⏱️ 28.02.2019): ``` - conda install -c conda-forge mljar-supervised + pip install hyperas ```
lazypredict (🥈26 · ⭐ 1.9K) - Lazy Predict help build a lot of basic models without much code.. MIT -- [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 18 · 🔀 210 · 📦 440 · 📋 98 - 62% open · ⏱️ 28.09.2022): +- [GitHub](https://github.com/shankarpandala/lazypredict) (👨‍💻 18 · 🔀 220 · 📦 460 · 📋 99 - 62% open · ⏱️ 28.09.2022): ``` git clone https://github.com/shankarpandala/lazypredict ``` -- [PyPi](https://pypi.org/project/lazypredict) (📥 22K / month · 📦 1 · ⏱️ 28.09.2022): +- [PyPi](https://pypi.org/project/lazypredict) (📥 24K / month · 📦 1 · ⏱️ 28.09.2022): ``` pip install lazypredict ``` @@ -5399,26 +5436,26 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc conda install -c conda-forge lazypredict ```
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GPyOpt (🥈26 · ⭐ 860 · 📈) - Gaussian Process Optimization using GPy. BSD-3 +
GPyOpt (🥈26 · ⭐ 860) - Gaussian Process Optimization using GPy. BSD-3 - [GitHub](https://github.com/SheffieldML/GPyOpt) (👨‍💻 49 · 🔀 250 · 📦 410 · 📋 290 - 35% open · ⏱️ 17.01.2023): ``` git clone https://github.com/SheffieldML/GPyOpt ``` -- [PyPi](https://pypi.org/project/gpyopt) (📥 48K / month · 📦 32 · ⏱️ 19.03.2020): +- [PyPi](https://pypi.org/project/gpyopt) (📥 37K / month · 📦 32 · ⏱️ 19.03.2020): ``` pip install gpyopt ```
FEDOT (🥈24 · ⭐ 500) - Automated modeling and machine learning framework FEDOT. BSD-3 -- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 27 · 🔀 71 · 📦 28 · 📋 440 - 19% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/aimclub/FEDOT) (👨‍💻 27 · 🔀 71 · 📦 28 · 📋 440 - 19% open · ⏱️ 11.03.2023): ``` git clone https://github.com/nccr-itmo/FEDOT ``` -- [PyPi](https://pypi.org/project/fedot) (📥 1.2K / month · ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/fedot) (📥 1.5K / month · ⏱️ 12.12.2022): ``` pip install fedot ``` @@ -5430,7 +5467,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/autonomio/talos ``` -- [PyPi](https://pypi.org/project/talos) (📥 870 / month · 📦 7 · ⏱️ 28.05.2022): +- [PyPi](https://pypi.org/project/talos) (📥 990 / month · 📦 7 · ⏱️ 28.05.2022): ``` pip install talos ``` @@ -5442,19 +5479,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/SimonBlanke/Hyperactive ``` -- [PyPi](https://pypi.org/project/hyperactive) (📥 650 / month · 📦 4 · ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/hyperactive) (📥 680 / month · 📦 4 · ⏱️ 04.01.2023): ``` pip install hyperactive ```
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Auto ViML (🥉23 · ⭐ 420 · 📈) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 +
Auto ViML (🥉23 · ⭐ 420) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2 - [GitHub](https://github.com/AutoViML/Auto_ViML) (👨‍💻 8 · 🔀 85 · 📦 21 · 📋 28 - 17% open · ⏱️ 08.03.2023): ``` git clone https://github.com/AutoViML/Auto_ViML ``` -- [PyPi](https://pypi.org/project/autoviml) (📥 2K / month · 📦 2 · ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/autoviml) (📥 2.5K / month · 📦 2 · ⏱️ 01.06.2022): ``` pip install autoviml ``` @@ -5466,11 +5503,11 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/automl/HpBandSter ``` -- [PyPi](https://pypi.org/project/hpbandster) (📥 16K / month · 📦 10 · ⏱️ 06.11.2018): +- [PyPi](https://pypi.org/project/hpbandster) (📥 17K / month · 📦 10 · ⏱️ 06.11.2018): ``` pip install hpbandster ``` -- [Conda](https://anaconda.org/conda-forge/hpbandster) (📥 7.5K · ⏱️ 11.12.2020): +- [Conda](https://anaconda.org/conda-forge/hpbandster) (📥 7.8K · ⏱️ 11.12.2020): ``` conda install -c conda-forge hpbandster ``` @@ -5482,19 +5519,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/Neuraxio/Neuraxle ``` -- [PyPi](https://pypi.org/project/neuraxle) (📥 400 / month · 📦 1 · ⏱️ 16.08.2022): +- [PyPi](https://pypi.org/project/neuraxle) (📥 440 / month · 📦 1 · ⏱️ 16.08.2022): ``` pip install neuraxle ```
featurewiz (🥉21 · ⭐ 370) - Use advanced feature engineering strategies and select best.. Apache-2 -- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 7 · 🔀 70 · 📦 38 · 📋 61 - 4% open · ⏱️ 06.01.2023): +- [GitHub](https://github.com/AutoViML/featurewiz) (👨‍💻 7 · 🔀 69 · 📦 38 · 📋 61 - 4% open · ⏱️ 06.01.2023): ``` git clone https://github.com/AutoViML/featurewiz ``` -- [PyPi](https://pypi.org/project/featurewiz) (📥 18K / month · 📦 2 · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/featurewiz) (📥 21K / month · 📦 2 · ⏱️ 02.01.2023): ``` pip install featurewiz ``` @@ -5506,7 +5543,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/ScottfreeLLC/AlphaPy ``` -- [PyPi](https://pypi.org/project/alphapy) (📥 190 / month · ⏱️ 29.08.2020): +- [PyPi](https://pypi.org/project/alphapy) (📥 200 / month · ⏱️ 29.08.2020): ``` pip install alphapy ``` @@ -5518,19 +5555,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/dragonfly/dragonfly ``` -- [PyPi](https://pypi.org/project/dragonfly-opt) (📥 36K / month · 📦 2 · ⏱️ 01.10.2022): +- [PyPi](https://pypi.org/project/dragonfly-opt) (📥 35K / month · 📦 2 · ⏱️ 01.10.2022): ``` pip install dragonfly-opt ```
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opytimizer (🥉18 · ⭐ 550) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 +
opytimizer (🥉18 · ⭐ 560) - Opytimizer is a Python library consisting of meta-heuristic.. Apache-2 - [GitHub](https://github.com/gugarosa/opytimizer) (👨‍💻 4 · 🔀 36 · 📦 13 · 📋 21 - 9% open · ⏱️ 24.02.2023): ``` git clone https://github.com/gugarosa/opytimizer ``` -- [PyPi](https://pypi.org/project/opytimizer) (📥 220 / month · ⏱️ 09.09.2022): +- [PyPi](https://pypi.org/project/opytimizer) (📥 230 / month · ⏱️ 09.09.2022): ``` pip install opytimizer ``` @@ -5542,7 +5579,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc ``` git clone https://github.com/cerlymarco/shap-hypetune ``` -- [PyPi](https://pypi.org/project/shap-hypetune) (📥 5.4K / month · 📦 1 · ⏱️ 24.08.2022): +- [PyPi](https://pypi.org/project/shap-hypetune) (📥 5.1K / month · 📦 1 · ⏱️ 24.08.2022): ``` pip install shap-hypetune ``` @@ -5553,14 +5590,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc - scikit-optimize (🥇33 · ⭐ 2.5K · 💀) - Sequential model-based optimization with a.. BSD-3 - TPOT (🥈32 · ⭐ 9K · 💤) - A Python Automated Machine Learning tool that optimizes machine.. ❗️LGPL-3.0 - Orion (🥈27 · ⭐ 260) - Asynchronous Distributed Hyperparameter Optimization. BSD-3 -- SMAC3 (🥈25 · ⭐ 800) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause -- AdaNet (🥉23 · ⭐ 3.4K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 +- SMAC3 (🥈25 · ⭐ 810) - SMAC3: A Versatile Bayesian Optimization Package for.. ❗️BSD-1-Clause +- AdaNet (🥈24 · ⭐ 3.4K · 💀) - Fast and flexible AutoML with learning guarantees. Apache-2 - optunity (🥉23 · ⭐ 400 · 💀) - optimization routines for hyperparameter tuning. BSD-3 - auto_ml (🥉22 · ⭐ 1.6K · 💀) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT - MLBox (🥉22 · ⭐ 1.4K · 💀) - MLBox is a powerful Automated Machine Learning python library. ❗️BSD-1-Clause - Test Tube (🥉22 · ⭐ 730 · 💀) - Python library to easily log experiments and parallelize.. MIT - lightwood (🥉22 · ⭐ 340) - Lightwood is Legos for Machine Learning. ❗️GPL-3.0 -- igel (🥉20 · ⭐ 3K · 💀) - a delightful machine learning tool that allows you to train, test, and use.. MIT +- igel (🥉19 · ⭐ 3K · 💀) - a delightful machine learning tool that allows you to train, test, and use.. MIT - sklearn-deap (🥉19 · ⭐ 720 · 💀) - Use evolutionary algorithms instead of gridsearch in.. MIT - Auto Tune Models (🥉18 · ⭐ 520 · 💀) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT - Sherpa (🥉18 · ⭐ 320 · 💀) - Hyperparameter optimization that enables researchers to.. ❗️GPL-3.0 @@ -5586,12 +5623,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
OpenAI Gym (🥇40 · ⭐ 30K) - A toolkit for developing and comparing reinforcement learning.. MIT -- [GitHub](https://github.com/openai/gym) (👨‍💻 380 · 🔀 8.3K · 📦 39K · 📋 1.7K - 2% open · ⏱️ 30.01.2023): +- [GitHub](https://github.com/openai/gym) (👨‍💻 380 · 🔀 8.3K · 📦 39K · 📋 1.8K - 2% open · ⏱️ 30.01.2023): ``` git clone https://github.com/openai/gym ``` -- [PyPi](https://pypi.org/project/gym) (📥 700K / month · 📦 2.6K · ⏱️ 04.10.2022): +- [PyPi](https://pypi.org/project/gym) (📥 680K / month · 📦 2.6K · ⏱️ 04.10.2022): ``` pip install gym ``` @@ -5602,36 +5639,36 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
TF-Agents (🥇33 · ⭐ 2.4K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2 -- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 130 · 🔀 680 · 📦 1.1K · 📋 620 - 26% open · ⏱️ 23.02.2023): +- [GitHub](https://github.com/tensorflow/agents) (👨‍💻 130 · 🔀 680 · 📦 1.1K · 📋 620 - 27% open · ⏱️ 16.03.2023): ``` git clone https://github.com/tensorflow/agents ``` -- [PyPi](https://pypi.org/project/tf-agents) (📥 110K / month · ⏱️ 03.12.2022): +- [PyPi](https://pypi.org/project/tf-agents) (📥 110K / month · 📦 2 · ⏱️ 03.12.2022): ``` pip install tf-agents ```
FinRL (🥇31 · ⭐ 6.9K) - FinRL: Financial Reinforcement Learning. MIT -- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 88 · 🔀 1.7K · 📦 20 · 📋 550 - 16% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (👨‍💻 89 · 🔀 1.7K · 📦 20 · 📋 550 - 17% open · ⏱️ 14.03.2023): ``` git clone https://github.com/AI4Finance-Foundation/FinRL ``` -- [PyPi](https://pypi.org/project/finrl) (📥 2.3K / month · ⏱️ 25.07.2022): +- [PyPi](https://pypi.org/project/finrl) (📥 2.1K / month · ⏱️ 25.07.2022): ``` pip install finrl ```
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ViZDoom (🥈29 · ⭐ 1.5K) - Reinforcement Learning environments based on the 1993 game Doom. MIT +
ViZDoom (🥈30 · ⭐ 1.5K) - Reinforcement Learning environments based on the 1993 game Doom. MIT -- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 51 · 🔀 350 · 📥 12K · 📦 170 · 📋 450 - 12% open · ⏱️ 30.01.2023): +- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (👨‍💻 51 · 🔀 350 · 📥 12K · 📦 170 · 📋 450 - 12% open · ⏱️ 13.03.2023): ``` git clone https://github.com/mwydmuch/ViZDoom ``` -- [PyPi](https://pypi.org/project/vizdoom) (📥 1.7K / month · 📦 14 · ⏱️ 07.01.2023): +- [PyPi](https://pypi.org/project/vizdoom) (📥 1.9K / month · 📦 14 · ⏱️ 07.01.2023): ``` pip install vizdoom ``` @@ -5650,12 +5687,12 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Acme (🥈28 · ⭐ 3K) - A library of reinforcement learning components and agents. Apache-2 -- [GitHub](https://github.com/deepmind/acme) (👨‍💻 82 · 🔀 370 · 📦 130 · 📋 240 - 17% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/deepmind/acme) (👨‍💻 82 · 🔀 380 · 📦 130 · 📋 240 - 17% open · ⏱️ 11.03.2023): ``` git clone https://github.com/deepmind/acme ``` -- [PyPi](https://pypi.org/project/dm-acme) (📥 4.3K / month · 📦 2 · ⏱️ 10.02.2022): +- [PyPi](https://pypi.org/project/dm-acme) (📥 4.6K / month · 📦 2 · ⏱️ 10.02.2022): ``` pip install dm-acme ``` @@ -5664,28 +5701,28 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst conda install -c conda-forge dm-acme ```
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TensorLayer (🥈27 · ⭐ 7.2K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 +
PARL (🥈28 · ⭐ 2.9K) - A high-performance distributed training framework for Reinforcement.. Apache-2 -- [GitHub](https://github.com/tensorlayer/TensorLayer) (👨‍💻 130 · 🔀 1.6K · 📥 1.4K · 📋 470 - 6% open · ⏱️ 18.02.2023): +- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 38 · 🔀 800 · 📦 110 · 📋 480 - 18% open · ⏱️ 16.03.2023): ``` - git clone https://github.com/tensorlayer/tensorlayer + git clone https://github.com/PaddlePaddle/PARL ``` -- [PyPi](https://pypi.org/project/tensorlayer) (📥 2.3K / month · 📦 41 · ⏱️ 15.02.2022): +- [PyPi](https://pypi.org/project/parl) (📥 1.3K / month · 📦 1 · ⏱️ 28.11.2022): ``` - pip install tensorlayer + pip install parl ```
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PARL (🥈27 · ⭐ 2.9K) - A high-performance distributed training framework for Reinforcement.. Apache-2 +
TensorLayer (🥉27 · ⭐ 7.2K) - Deep Learning and Reinforcement Learning Library for.. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PARL) (👨‍💻 37 · 🔀 780 · 📦 110 · 📋 470 - 20% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/tensorlayer/TensorLayer) (👨‍💻 130 · 🔀 1.6K · 📥 1.5K · 📋 470 - 6% open · ⏱️ 18.02.2023): ``` - git clone https://github.com/PaddlePaddle/PARL + git clone https://github.com/tensorlayer/tensorlayer ``` -- [PyPi](https://pypi.org/project/parl) (📥 910 / month · 📦 1 · ⏱️ 28.11.2022): +- [PyPi](https://pypi.org/project/tensorlayer) (📥 2.2K / month · 📦 41 · ⏱️ 15.02.2022): ``` - pip install parl + pip install tensorlayer ```
garage (🥉25 · ⭐ 1.6K) - A toolkit for reproducible reinforcement learning research. MIT @@ -5714,38 +5751,38 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
ReAgent (🥉24 · ⭐ 3.4K) - A platform for Reasoning systems (Reinforcement Learning,.. BSD-3 -- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 150 · 🔀 480 · 📋 140 - 47% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/facebookresearch/ReAgent) (👨‍💻 150 · 🔀 480 · 📋 140 - 47% open · ⏱️ 15.03.2023): ``` git clone https://github.com/facebookresearch/ReAgent ``` -- [PyPi](https://pypi.org/project/reagent) (📥 21 / month · ⏱️ 27.05.2020): +- [PyPi](https://pypi.org/project/reagent) (📥 23 / month · ⏱️ 27.05.2020): ``` pip install reagent ```
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TensorForce (🥉23 · ⭐ 3.2K) - Tensorforce: a TensorFlow library for applied.. Apache-2 +
RLax (🥉23 · ⭐ 990) - A library of reinforcement learning building blocks in JAX. Apache-2 -- [GitHub](https://github.com/tensorforce/tensorforce) (👨‍💻 82 · 🔀 520 · 📋 660 - 4% open · ⏱️ 15.01.2023): +- [GitHub](https://github.com/deepmind/rlax) (👨‍💻 21 · 🔀 71 · 📦 110 · 📋 33 - 45% open · ⏱️ 06.03.2023): ``` - git clone https://github.com/tensorforce/tensorforce + git clone https://github.com/deepmind/rlax ``` -- [PyPi](https://pypi.org/project/tensorforce) (📥 1.1K / month · ⏱️ 30.08.2021): +- [PyPi](https://pypi.org/project/rlax) (📥 4.2K / month · 📦 3 · ⏱️ 09.01.2023): ``` - pip install tensorforce + pip install rlax ```
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RLax (🥉23 · ⭐ 980) - A library of reinforcement learning building blocks in JAX. Apache-2 +
TensorForce (🥉22 · ⭐ 3.2K) - Tensorforce: a TensorFlow library for applied.. Apache-2 -- [GitHub](https://github.com/deepmind/rlax) (👨‍💻 21 · 🔀 70 · 📦 110 · 📋 33 - 45% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/tensorforce/tensorforce) (👨‍💻 82 · 🔀 520 · 📋 660 - 4% open · ⏱️ 15.01.2023): ``` - git clone https://github.com/deepmind/rlax + git clone https://github.com/tensorforce/tensorforce ``` -- [PyPi](https://pypi.org/project/rlax) (📥 4.1K / month · 📦 3 · ⏱️ 09.01.2023): +- [PyPi](https://pypi.org/project/tensorforce) (📥 1K / month · ⏱️ 30.08.2021): ``` - pip install rlax + pip install tensorforce ```
Coach (🥉20 · ⭐ 2.2K) - Reinforcement Learning Coach by Intel AI Lab enables easy.. Apache-2 @@ -5755,24 +5792,24 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst ``` git clone https://github.com/IntelLabs/coach ``` -- [PyPi](https://pypi.org/project/rl_coach) (📥 170 / month · 📦 2 · ⏱️ 10.10.2019): +- [PyPi](https://pypi.org/project/rl_coach) (📥 130 / month · 📦 2 · ⏱️ 10.10.2019): ``` pip install rl_coach ```
PFRL (🥉20 · ⭐ 1K) - PFRL: a PyTorch-based deep reinforcement learning library. MIT -- [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 18 · 🔀 140 · 📦 74 · 📋 72 - 44% open · ⏱️ 21.09.2022): +- [GitHub](https://github.com/pfnet/pfrl) (👨‍💻 18 · 🔀 140 · 📦 74 · 📋 73 - 45% open · ⏱️ 21.09.2022): ``` git clone https://github.com/pfnet/pfrl ``` -- [PyPi](https://pypi.org/project/pfrl) (📥 560 / month · 📦 1 · ⏱️ 07.07.2021): +- [PyPi](https://pypi.org/project/pfrl) (📥 440 / month · 📦 1 · ⏱️ 07.07.2021): ``` pip install pfrl ```
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rliable (🥉13 · ⭐ 550) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 +
rliable (🥉13 · ⭐ 560) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2 - [GitHub](https://github.com/google-research/rliable) (👨‍💻 6 · 🔀 34 · 📦 50 · 📋 12 - 8% open · ⏱️ 20.02.2023): @@ -5788,11 +5825,11 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst - baselines (🥈30 · ⭐ 14K · 💀) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT - keras-rl (🥈28 · ⭐ 5.4K · 💀) - Deep Reinforcement Learning for Keras. MIT -- ChainerRL (🥉23 · ⭐ 1.1K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. MIT +- ChainerRL (🥉24 · ⭐ 1.1K · 💀) - ChainerRL is a deep reinforcement learning library built on top of.. MIT - TRFL (🥉22 · ⭐ 3.1K · 💀) - TensorFlow Reinforcement Learning. Apache-2 - DeepMind Lab (🥉19 · ⭐ 6.8K) - A customisable 3D platform for agent-based AI research. ❗Unlicensed - SerpentAI (🥉18 · ⭐ 6.4K · 💀) - Game Agent Framework. Helping you create AIs / Bots that learn to.. MIT -- Maze (🥉13 · ⭐ 220) - Maze Applied Reinforcement Learning Framework. ❗️Custom +- Maze (🥉13 · ⭐ 230) - Maze Applied Reinforcement Learning Framework. ❗️Custom

@@ -5804,7 +5841,7 @@ _Libraries for building and evaluating recommendation systems._
Recommenders (🥇32 · ⭐ 15K) - Best Practices on Recommendation Systems. MIT -- [GitHub](https://github.com/microsoft/recommenders) (👨‍💻 120 · 🔀 2.7K · 📥 300 · 📦 61 · 📋 750 - 19% open · ⏱️ 21.11.2022): +- [GitHub](https://github.com/microsoft/recommenders) (👨‍💻 120 · 🔀 2.7K · 📥 310 · 📦 62 · 📋 750 - 19% open · ⏱️ 21.11.2022): ``` git clone https://github.com/microsoft/recommenders @@ -5821,14 +5858,14 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/recommenders ``` -- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 390K / month · 📦 1 · ⏱️ 23.08.2021): +- [PyPi](https://pypi.org/project/tensorflow-recommenders) (📥 380K / month · 📦 1 · ⏱️ 23.08.2021): ``` pip install tensorflow-recommenders ```
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lightfm (🥈29 · ⭐ 4.3K · 💤) - A Python implementation of LightFM, a hybrid recommendation.. Apache-2 +
lightfm (🥈30 · ⭐ 4.3K) - A Python implementation of LightFM, a hybrid recommendation algorithm. Apache-2 -- [GitHub](https://github.com/lyst/lightfm) (👨‍💻 44 · 🔀 650 · 📦 990 · 📋 480 - 26% open · ⏱️ 19.07.2022): +- [GitHub](https://github.com/lyst/lightfm) (👨‍💻 45 · 🔀 650 · 📦 1K · 📋 480 - 26% open · ⏱️ 11.03.2023): ``` git clone https://github.com/lyst/lightfm @@ -5842,7 +5879,7 @@ _Libraries for building and evaluating recommendation systems._ conda install -c conda-forge lightfm ```
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implicit (🥈29 · ⭐ 3.1K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT +
implicit (🥈30 · ⭐ 3.1K) - Fast Python Collaborative Filtering for Implicit Feedback Datasets. MIT - [GitHub](https://github.com/benfred/implicit) (👨‍💻 34 · 🔀 580 · 📥 320 · 📦 880 · 📋 450 - 17% open · ⏱️ 11.12.2022): @@ -5865,7 +5902,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/tensorflow/ranking ``` -- [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 140K / month · 📦 12 · ⏱️ 16.11.2021): +- [PyPi](https://pypi.org/project/tensorflow_ranking) (📥 130K / month · 📦 12 · ⏱️ 16.11.2021): ``` pip install tensorflow_ranking ``` @@ -5877,7 +5914,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/NicolasHug/Surprise ``` -- [PyPi](https://pypi.org/project/scikit-surprise) (📥 100K / month · 📦 49 · ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/scikit-surprise) (📥 99K / month · 📦 49 · ⏱️ 23.09.2022): ``` pip install scikit-surprise ``` @@ -5888,28 +5925,28 @@ _Libraries for building and evaluating recommendation systems._
RecBole (🥈27 · ⭐ 2.5K) - A unified, comprehensive and efficient recommendation library. MIT -- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 60 · 🔀 460 · 📋 650 - 11% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/RUCAIBox/RecBole) (👨‍💻 60 · 🔀 470 · 📋 650 - 11% open · ⏱️ 07.03.2023): ``` git clone https://github.com/RUCAIBox/RecBole ``` -- [PyPi](https://pypi.org/project/recbole) (📥 2.4K / month · 📦 2 · ⏱️ 05.10.2022): +- [PyPi](https://pypi.org/project/recbole) (📥 2.7K / month · 📦 2 · ⏱️ 05.10.2022): ``` pip install recbole ``` -- [Conda](https://anaconda.org/aibox/recbole) (📥 2.9K · ⏱️ 05.10.2022): +- [Conda](https://anaconda.org/aibox/recbole) (📥 3K · ⏱️ 05.10.2022): ``` conda install -c aibox recbole ```
torchrec (🥉24 · ⭐ 1.3K) - Pytorch domain library for recommendation systems. BSD-3 -- [GitHub](https://github.com/pytorch/torchrec) (👨‍💻 140 · 🔀 230 · 📋 150 - 61% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/pytorch/torchrec) (👨‍💻 140 · 🔀 240 · 📋 160 - 61% open · ⏱️ 16.03.2023): ``` git clone https://github.com/pytorch/torchrec ``` -- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 340 / month · ⏱️ 12.05.2022): +- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (📥 560 / month · ⏱️ 12.05.2022): ``` pip install torchrec-nightly-cpu ``` @@ -5921,7 +5958,7 @@ _Libraries for building and evaluating recommendation systems._ ``` git clone https://github.com/PreferredAI/cornac ``` -- [PyPi](https://pypi.org/project/cornac) (📥 29K / month · 📦 16 · ⏱️ 19.02.2022): +- [PyPi](https://pypi.org/project/cornac) (📥 30K / month · 📦 16 · ⏱️ 19.02.2022): ``` pip install cornac ``` @@ -5932,12 +5969,12 @@ _Libraries for building and evaluating recommendation systems._
recmetrics (🥉20 · ⭐ 480) - A library of metrics for evaluating recommender systems. MIT -- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨‍💻 19 · 🔀 89 · 📥 1 · 📦 35 · 📋 22 - 40% open · ⏱️ 22.02.2023): +- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (👨‍💻 19 · 🔀 91 · 📥 1 · 📦 36 · 📋 23 - 39% open · ⏱️ 11.03.2023): ``` git clone https://github.com/statisticianinstilettos/recmetrics ``` -- [PyPi](https://pypi.org/project/recmetrics) (📥 3.6K / month · ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/recmetrics) (📥 3.9K / month · ⏱️ 26.04.2022): ``` pip install recmetrics ``` @@ -5962,12 +5999,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (🥇36 · ⭐ 8.6K) - data science on data without acquiring a copy. Apache-2 -- [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 490 · 🔀 1.9K · 📋 3.4K - 4% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/OpenMined/PySyft) (👨‍💻 490 · 🔀 1.9K · 📋 3.4K - 4% open · ⏱️ 16.03.2023): ``` git clone https://github.com/OpenMined/PySyft ``` -- [PyPi](https://pypi.org/project/syft) (📥 4.7K / month · 📦 5 · ⏱️ 20.01.2023): +- [PyPi](https://pypi.org/project/syft) (📥 5.6K / month · 📦 5 · ⏱️ 20.01.2023): ``` pip install syft ``` @@ -5979,7 +6016,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/pytorch/opacus ``` -- [PyPi](https://pypi.org/project/opacus) (📥 20K / month · 📦 12 · ⏱️ 14.11.2022): +- [PyPi](https://pypi.org/project/opacus) (📥 23K / month · 📦 12 · ⏱️ 14.11.2022): ``` pip install opacus ``` @@ -5988,28 +6025,28 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l conda install -c conda-forge opacus ```
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FATE (🥈26 · ⭐ 4.9K) - An Industrial Grade Federated Learning Framework. Apache-2 +
TensorFlow Privacy (🥈27 · ⭐ 1.7K) - Library for training machine learning models with.. Apache-2 -- [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 88 · 🔀 1.4K · 📋 1.6K - 40% open · ⏱️ 04.01.2023): +- [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 53 · 🔀 410 · 📥 95 · 📋 190 - 53% open · ⏱️ 16.03.2023): ``` - git clone https://github.com/FederatedAI/FATE + git clone https://github.com/tensorflow/privacy ``` -- [PyPi](https://pypi.org/project/ETAF) (📥 13 / month · ⏱️ 06.05.2020): +- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 25K / month · 📦 14 · ⏱️ 19.10.2022): ``` - pip install ETAF + pip install tensorflow-privacy ```
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TensorFlow Privacy (🥈26 · ⭐ 1.7K) - Library for training machine learning models with.. Apache-2 +
FATE (🥉26 · ⭐ 4.9K) - An Industrial Grade Federated Learning Framework. Apache-2 -- [GitHub](https://github.com/tensorflow/privacy) (👨‍💻 53 · 🔀 400 · 📥 95 · 📋 180 - 51% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/FederatedAI/FATE) (👨‍💻 88 · 🔀 1.4K · 📋 1.6K - 40% open · ⏱️ 04.01.2023): ``` - git clone https://github.com/tensorflow/privacy + git clone https://github.com/FederatedAI/FATE ``` -- [PyPi](https://pypi.org/project/tensorflow-privacy) (📥 24K / month · 📦 8 · ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/ETAF) (📥 13 / month · ⏱️ 06.05.2020): ``` - pip install tensorflow-privacy + pip install ETAF ```
CrypTen (🥉25 · ⭐ 1.2K) - A framework for Privacy Preserving Machine Learning. MIT @@ -6019,7 +6056,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/facebookresearch/CrypTen ``` -- [PyPi](https://pypi.org/project/crypten) (📥 520 / month · 📦 2 · ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/crypten) (📥 630 / month · 📦 2 · ⏱️ 08.12.2022): ``` pip install crypten ``` @@ -6031,14 +6068,14 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l ``` git clone https://github.com/tf-encrypted/tf-encrypted ``` -- [PyPi](https://pypi.org/project/tf-encrypted) (📥 890 / month · 📦 9 · ⏱️ 16.11.2022): +- [PyPi](https://pypi.org/project/tf-encrypted) (📥 820 / month · 📦 9 · ⏱️ 16.11.2022): ``` pip install tf-encrypted ```
Show 1 hidden projects... -- PipelineDP (🥉20 · ⭐ 240) - PipelineDP is a Python framework for applying differentially.. Apache-2 +- PipelineDP (🥉20 · ⭐ 250) - PipelineDP is a Python framework for applying differentially.. Apache-2

@@ -6050,12 +6087,12 @@ _Libraries to organize, track, and visualize machine learning experiments._
Tensorboard (🥇43 · ⭐ 6.1K) - TensorFlows Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 300 · 🔀 1.6K · 📦 150K · 📋 1.8K - 34% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/tensorflow/tensorboard) (👨‍💻 300 · 🔀 1.6K · 📦 150K · 📋 1.8K - 34% open · ⏱️ 15.03.2023): ``` git clone https://github.com/tensorflow/tensorboard ``` -- [PyPi](https://pypi.org/project/tensorboard) (📥 18M / month · 📦 2.6K · ⏱️ 13.01.2023): +- [PyPi](https://pypi.org/project/tensorboard) (📥 19M / month · 📦 2.6K · ⏱️ 13.01.2023): ``` pip install tensorboard ``` @@ -6066,7 +6103,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
mlflow (🥇41 · ⭐ 14K) - Open source platform for the machine learning lifecycle. Apache-2 -- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 550 · 🔀 3.2K · 📋 2.9K - 35% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/mlflow/mlflow) (👨‍💻 560 · 🔀 3.2K · 📋 2.9K - 35% open · ⏱️ 16.03.2023): ``` git clone https://github.com/mlflow/mlflow @@ -6075,14 +6112,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install mlflow ``` -- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 1.2M · ⏱️ 03.03.2023): +- [Conda](https://anaconda.org/conda-forge/mlflow) (📥 1.2M · ⏱️ 14.03.2023): ``` conda install -c conda-forge mlflow ```
DVC (🥇41 · ⭐ 11K) - Data Version Control | Git for Data & Models | ML Experiments Management. Apache-2 -- [GitHub](https://github.com/iterative/dvc) (👨‍💻 280 · 🔀 1K · 📥 120K · 📦 6.8K · 📋 4.2K - 14% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/iterative/dvc) (👨‍💻 280 · 🔀 1K · 📥 110K · 📦 6.8K · 📋 4.2K - 14% open · ⏱️ 16.03.2023): ``` git clone https://github.com/iterative/dvc @@ -6091,46 +6128,46 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install dvc ``` -- [Conda](https://anaconda.org/conda-forge/dvc) (📥 1.4M · ⏱️ 07.03.2023): +- [Conda](https://anaconda.org/conda-forge/dvc) (📥 1.4M · ⏱️ 15.03.2023): ``` conda install -c conda-forge dvc ```
wandb client (🥇39 · ⭐ 5.6K) - A tool for visualizing and tracking your machine learning.. MIT -- [GitHub](https://github.com/wandb/wandb) (👨‍💻 140 · 🔀 440 · 📦 19K · 📋 2.3K - 21% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/wandb/wandb) (👨‍💻 140 · 🔀 450 · 📦 19K · 📋 2.3K - 22% open · ⏱️ 15.03.2023): ``` git clone https://github.com/wandb/client ``` -- [PyPi](https://pypi.org/project/wandb) (📥 2.2M / month · 📦 390 · ⏱️ 07.03.2023): +- [PyPi](https://pypi.org/project/wandb) (📥 2.1M / month · 📦 400 · ⏱️ 07.03.2023): ``` pip install wandb ``` -- [Conda](https://anaconda.org/conda-forge/wandb) (📥 170K · ⏱️ 08.03.2023): +- [Conda](https://anaconda.org/conda-forge/wandb) (📥 180K · ⏱️ 15.03.2023): ``` conda install -c conda-forge wandb ```
SageMaker SDK (🥈38 · ⭐ 1.8K) - A library for training and deploying machine learning.. Apache-2 -- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 340 · 🔀 940 · 📦 2.4K · 📋 1.2K - 37% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/aws/sagemaker-python-sdk) (👨‍💻 340 · 🔀 940 · 📦 2.4K · 📋 1.2K - 37% open · ⏱️ 15.03.2023): ``` git clone https://github.com/aws/sagemaker-python-sdk ``` -- [PyPi](https://pypi.org/project/sagemaker) (📥 32M / month · 📦 69 · ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/sagemaker) (📥 29M / month · 📦 69 · ⏱️ 31.01.2023): ``` pip install sagemaker ``` -- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 520K · ⏱️ 03.11.2022): +- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (📥 530K · ⏱️ 03.11.2022): ``` conda install -c conda-forge sagemaker-python-sdk ```
PyCaret (🥈36 · ⭐ 7K) - An open-source, low-code machine learning library in Python. MIT -- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 120 · 🔀 1.6K · 📥 640 · 📦 3.3K · 📋 2K - 14% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/pycaret/pycaret) (👨‍💻 120 · 🔀 1.6K · 📥 640 · 📦 3.3K · 📋 2K - 14% open · ⏱️ 13.03.2023): ``` git clone https://github.com/pycaret/pycaret @@ -6139,12 +6176,12 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` pip install pycaret ``` -- [Conda](https://anaconda.org/conda-forge/pycaret) (📥 29K · ⏱️ 18.04.2022): +- [Conda](https://anaconda.org/conda-forge/pycaret) (📥 29K · ⏱️ 16.03.2023): ``` conda install -c conda-forge pycaret ```
-
AzureML SDK (🥈34 · ⭐ 3.6K · 📉) - Python notebooks with ML and deep learning examples with Azure.. MIT +
AzureML SDK (🥈34 · ⭐ 3.6K) - Python notebooks with ML and deep learning examples with Azure.. MIT - [GitHub](https://github.com/Azure/MachineLearningNotebooks) (👨‍💻 61 · 🔀 2.3K · 📥 480 · 📋 1.4K - 24% open · ⏱️ 14.02.2023): @@ -6156,46 +6193,30 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install azureml-sdk ```
-
snakemake (🥈34 · ⭐ 1.6K) - This is the development home of the workflow management system.. MIT - -- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 280 · 🔀 410 · 📦 1.4K · 📋 1.3K - 59% open · ⏱️ 07.03.2023): - - ``` - git clone https://github.com/snakemake/snakemake - ``` -- [PyPi](https://pypi.org/project/snakemake) (📥 34K / month · 📦 240 · ⏱️ 18.01.2023): - ``` - pip install snakemake - ``` -- [Conda](https://anaconda.org/bioconda/snakemake) (📥 670K · ⏱️ 03.03.2023): - ``` - conda install -c bioconda snakemake - ``` -
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tensorboardX (🥈33 · ⭐ 7.5K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT +
tensorboardX (🥈33 · ⭐ 7.6K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT -- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 75 · 🔀 870 · 📥 370 · 📦 27K · 📋 450 - 17% open · ⏱️ 28.02.2023): +- [GitHub](https://github.com/lanpa/tensorboardX) (👨‍💻 75 · 🔀 870 · 📥 370 · 📦 28K · 📋 450 - 17% open · ⏱️ 28.02.2023): ``` git clone https://github.com/lanpa/tensorboardX ``` -- [PyPi](https://pypi.org/project/tensorboardX) (📥 1.3M / month · 📦 930 · ⏱️ 05.06.2022): +- [PyPi](https://pypi.org/project/tensorboardX) (📥 1.3M / month · 📦 940 · ⏱️ 05.06.2022): ``` pip install tensorboardX ``` -- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 980K · ⏱️ 07.06.2022): +- [Conda](https://anaconda.org/conda-forge/tensorboardx) (📥 990K · ⏱️ 07.06.2022): ``` conda install -c conda-forge tensorboardx ```
ClearML (🥈33 · ⭐ 4.2K) - ClearML - Auto-Magical CI/CD to streamline your ML workflow... Apache-2 -- [GitHub](https://github.com/allegroai/clearml) (👨‍💻 73 · 🔀 560 · 📥 760 · 📦 440 · 📋 750 - 48% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/allegroai/clearml) (👨‍💻 73 · 🔀 560 · 📥 810 · 📦 460 · 📋 810 - 44% open · ⏱️ 12.03.2023): ``` git clone https://github.com/allegroai/clearml ``` -- [PyPi](https://pypi.org/project/clearml) (📥 220K / month · 📦 11 · ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/clearml) (📥 230K / month · 📦 11 · ⏱️ 25.01.2023): ``` pip install clearml ``` @@ -6204,30 +6225,46 @@ _Libraries to organize, track, and visualize machine learning experiments._ docker pull allegroai/trains ```
+
snakemake (🥈33 · ⭐ 1.6K) - This is the development home of the workflow management system.. MIT + +- [GitHub](https://github.com/snakemake/snakemake) (👨‍💻 280 · 🔀 410 · 📦 1.5K · 📋 1.3K - 59% open · ⏱️ 14.03.2023): + + ``` + git clone https://github.com/snakemake/snakemake + ``` +- [PyPi](https://pypi.org/project/snakemake) (📥 37K / month · 📦 240 · ⏱️ 18.01.2023): + ``` + pip install snakemake + ``` +- [Conda](https://anaconda.org/bioconda/snakemake) (📥 680K · ⏱️ 14.03.2023): + ``` + conda install -c bioconda snakemake + ``` +
Metaflow (🥈32 · ⭐ 6.5K) - Build and manage real-life data science projects with ease!. Apache-2 -- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 64 · 🔀 610 · 📦 440 · 📋 520 - 49% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/Netflix/metaflow) (👨‍💻 65 · 🔀 620 · 📦 440 · 📋 530 - 50% open · ⏱️ 15.03.2023): ``` git clone https://github.com/Netflix/metaflow ``` -- [PyPi](https://pypi.org/project/metaflow) (📥 120K / month · 📦 13 · ⏱️ 26.01.2023): +- [PyPi](https://pypi.org/project/metaflow) (📥 120K / month · 📦 14 · ⏱️ 26.01.2023): ``` pip install metaflow ``` -- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 100K · ⏱️ 28.02.2023): +- [Conda](https://anaconda.org/conda-forge/metaflow) (📥 100K · ⏱️ 16.03.2023): ``` conda install -c conda-forge metaflow ```
VisualDL (🥈32 · ⭐ 4.6K) - Deep Learning Visualization Toolkit. Apache-2 -- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 32 · 🔀 620 · 📥 270 · 📦 1.8K · 📋 470 - 27% open · ⏱️ 03.03.2023): +- [GitHub](https://github.com/PaddlePaddle/VisualDL) (👨‍💻 32 · 🔀 620 · 📥 280 · 📦 1.8K · 📋 470 - 27% open · ⏱️ 16.03.2023): ``` git clone https://github.com/PaddlePaddle/VisualDL ``` -- [PyPi](https://pypi.org/project/visualdl) (📥 97K / month · 📦 38 · ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/visualdl) (📥 110K / month · 📦 38 · ⏱️ 17.01.2023): ``` pip install visualdl ``` @@ -6239,7 +6276,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/IDSIA/sacred ``` -- [PyPi](https://pypi.org/project/sacred) (📥 49K / month · 📦 100 · ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/sacred) (📥 45K / month · 📦 100 · ⏱️ 25.01.2023): ``` pip install sacred ``` @@ -6248,14 +6285,14 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge sacred ```
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aim (🥈31 · ⭐ 3.2K) - Aim easy-to-use and performant open-source ML experiment tracker. Apache-2 +
aim (🥈31 · ⭐ 3.3K) - Aim easy-to-use and performant open-source ML experiment tracker. Apache-2 -- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 52 · 🔀 200 · 📦 160 · 📋 830 - 27% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/aimhubio/aim) (👨‍💻 54 · 🔀 200 · 📦 160 · 📋 830 - 27% open · ⏱️ 15.03.2023): ``` git clone https://github.com/aimhubio/aim ``` -- [PyPi](https://pypi.org/project/aim) (📥 45K / month · 📦 7 · ⏱️ 07.07.2022): +- [PyPi](https://pypi.org/project/aim) (📥 49K / month · 📦 7 · ⏱️ 07.07.2022): ``` pip install aim ``` @@ -6264,22 +6301,6 @@ _Libraries to organize, track, and visualize machine learning experiments._ conda install -c conda-forge aim ```
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Neptune.ai (🥈30 · ⭐ 370) - Experiment tracking tool and model registry. Apache-2 - -- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 38 · 🔀 37 · 📋 190 - 13% open · ⏱️ 07.03.2023): - - ``` - git clone https://github.com/neptune-ai/neptune-client - ``` -- [PyPi](https://pypi.org/project/neptune-client) (📥 570K / month · 📦 46 · ⏱️ 01.07.2022): - ``` - pip install neptune-client - ``` -- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 160K · ⏱️ 28.02.2023): - ``` - conda install -c conda-forge neptune-client - ``` -
kaggle (🥈29 · ⭐ 5.2K) - Official Kaggle API. Apache-2 - [GitHub](https://github.com/Kaggle/kaggle-api) (👨‍💻 37 · 🔀 980 · 📋 400 - 61% open · ⏱️ 01.03.2023): @@ -6287,7 +6308,7 @@ _Libraries to organize, track, and visualize machine learning experiments._ ``` git clone https://github.com/Kaggle/kaggle-api ``` -- [PyPi](https://pypi.org/project/kaggle) (📥 160K / month · 📦 360 · ⏱️ 13.03.2021): +- [PyPi](https://pypi.org/project/kaggle) (📥 170K / month · 📦 360 · ⏱️ 13.03.2021): ``` pip install kaggle ``` @@ -6298,43 +6319,59 @@ _Libraries to organize, track, and visualize machine learning experiments._
Catalyst (🥈29 · ⭐ 3.1K · 💤) - Accelerated deep learning R&D. Apache-2 -- [GitHub](https://github.com/catalyst-team/catalyst) (👨‍💻 100 · 🔀 360 · 📦 810 · 📋 350 - 0% open · ⏱️ 29.04.2022): +- [GitHub](https://github.com/catalyst-team/catalyst) (👨‍💻 100 · 🔀 360 · 📦 820 · 📋 350 - 0% open · ⏱️ 29.04.2022): ``` git clone https://github.com/catalyst-team/catalyst ``` -- [PyPi](https://pypi.org/project/catalyst) (📥 69K / month · 📦 29 · ⏱️ 29.04.2022): +- [PyPi](https://pypi.org/project/catalyst) (📥 73K / month · 📦 29 · ⏱️ 29.04.2022): ``` pip install catalyst ```
+
Neptune.ai (🥈29 · ⭐ 370) - Experiment tracking tool and model registry. Apache-2 + +- [GitHub](https://github.com/neptune-ai/neptune-client) (👨‍💻 38 · 🔀 37 · 📋 200 - 15% open · ⏱️ 16.03.2023): + + ``` + git clone https://github.com/neptune-ai/neptune-client + ``` +- [PyPi](https://pypi.org/project/neptune-client) (📥 570K / month · 📦 46 · ⏱️ 01.07.2022): + ``` + pip install neptune-client + ``` +- [Conda](https://anaconda.org/conda-forge/neptune-client) (📥 160K · ⏱️ 14.03.2023): + ``` + conda install -c conda-forge neptune-client + ``` +
Guild AI (🥉28 · ⭐ 780) - Experiment tracking, ML developer tools. Apache-2 -- [GitHub](https://github.com/guildai/guildai) (👨‍💻 25 · 🔀 71 · 📥 7 · 📦 74 · 📋 410 - 47% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/guildai/guildai) (👨‍💻 25 · 🔀 71 · 📥 7 · 📦 74 · 📋 410 - 47% open · ⏱️ 10.03.2023): ``` git clone https://github.com/guildai/guildai ``` -- [PyPi](https://pypi.org/project/guildai) (📥 3.6K / month · ⏱️ 18.10.2022): +- [PyPi](https://pypi.org/project/guildai) (📥 3.7K / month · ⏱️ 18.10.2022): ``` pip install guildai ```
ml-metadata (🥉28 · ⭐ 520) - For recording and retrieving metadata associated with ML.. Apache-2 -- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 15 · 🔀 120 · 📥 1.8K · 📦 310 · 📋 97 - 27% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/google/ml-metadata) (👨‍💻 15 · 🔀 120 · 📥 1.8K · 📦 310 · 📋 97 - 27% open · ⏱️ 10.03.2023): ``` git clone https://github.com/google/ml-metadata ``` -- [PyPi](https://pypi.org/project/ml-metadata) (📥 1.1M / month · 📦 19 · ⏱️ 07.12.2022): +- [PyPi](https://pypi.org/project/ml-metadata) (📥 790K / month · 📦 19 · ⏱️ 07.12.2022): ``` pip install ml-metadata ```
TNT (🥉27 · ⭐ 1.5K) - A lightweight library for PyTorch training tools and utilities. BSD-3 -- [GitHub](https://github.com/pytorch/tnt) (👨‍💻 81 · 🔀 230 · 📋 63 - 4% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/pytorch/tnt) (👨‍💻 82 · 🔀 230 · 📋 63 - 4% open · ⏱️ 14.03.2023): ``` git clone https://github.com/pytorch/tnt @@ -6344,40 +6381,40 @@ _Libraries to organize, track, and visualize machine learning experiments._ pip install torchnet ```
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livelossplot (🥉25 · ⭐ 1.2K · 💤) - Live training loss plot in Jupyter Notebook for Keras,.. MIT +
quinn (🥉26 · ⭐ 430 · 📈) - pyspark methods to enhance developer productivity. Apache-2 -- [GitHub](https://github.com/stared/livelossplot) (👨‍💻 17 · 🔀 140 · 📦 970 · 📋 76 - 7% open · ⏱️ 04.04.2022): +- [GitHub](https://github.com/MrPowers/quinn) (👨‍💻 10 · 🔀 59 · 📥 4 · 📦 53 · 📋 48 - 56% open · ⏱️ 14.03.2023): ``` - git clone https://github.com/stared/livelossplot + git clone https://github.com/MrPowers/quinn ``` -- [PyPi](https://pypi.org/project/livelossplot) (📥 16K / month · 📦 11 · ⏱️ 04.04.2022): +- [PyPi](https://pypi.org/project/quinn) (📥 670K / month · 📦 6 · ⏱️ 17.02.2023): ``` - pip install livelossplot + pip install quinn ```
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Labml (🥉24 · ⭐ 1.3K) - Monitor deep learning model training and hardware usage from your mobile.. MIT +
livelossplot (🥉25 · ⭐ 1.2K · 💤) - Live training loss plot in Jupyter Notebook for Keras,.. MIT -- [GitHub](https://github.com/labmlai/labml) (👨‍💻 7 · 🔀 90 · 📦 72 · 📋 37 - 54% open · ⏱️ 23.11.2022): +- [GitHub](https://github.com/stared/livelossplot) (👨‍💻 17 · 🔀 140 · 📦 970 · 📋 76 - 7% open · ⏱️ 04.04.2022): ``` - git clone https://github.com/labmlai/labml + git clone https://github.com/stared/livelossplot ``` -- [PyPi](https://pypi.org/project/labml) (📥 2.3K / month · 📦 6 · ⏱️ 23.11.2022): +- [PyPi](https://pypi.org/project/livelossplot) (📥 15K / month · 📦 11 · ⏱️ 04.04.2022): ``` - pip install labml + pip install livelossplot ```
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quinn (🥉24 · ⭐ 420) - pyspark methods to enhance developer productivity. Apache-2 +
Labml (🥉24 · ⭐ 1.3K) - Monitor deep learning model training and hardware usage from your mobile.. MIT -- [GitHub](https://github.com/MrPowers/quinn) (👨‍💻 10 · 🔀 57 · 📥 3 · 📦 53 · 📋 44 - 61% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/labmlai/labml) (👨‍💻 7 · 🔀 90 · 📦 73 · 📋 37 - 54% open · ⏱️ 23.11.2022): ``` - git clone https://github.com/MrPowers/quinn + git clone https://github.com/labmlai/labml ``` -- [PyPi](https://pypi.org/project/quinn) (📥 630K / month · 📦 6 · ⏱️ 17.02.2023): +- [PyPi](https://pypi.org/project/labml) (📥 1.5K / month · 📦 6 · ⏱️ 23.11.2022): ``` - pip install quinn + pip install labml ```
lore (🥉21 · ⭐ 1.5K) - Lore makes machine learning approachable for Software Engineers and.. MIT @@ -6427,8 +6464,8 @@ _Libraries to organize, track, and visualize machine learning experiments._ - MXBoard (🥉20 · ⭐ 330 · 💀) - Logging MXNet data for visualization in TensorBoard. Apache-2 - datmo (🥉17 · ⭐ 340 · 💀) - Open source production model management tool for data scientists. MIT - chitra (🥉16 · ⭐ 210 · 💤) - A multi-functional library for full-stack Deep Learning... Apache-2 -- steppy (🥉16 · ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - caliban (🥉15 · ⭐ 460 · 💀) - Research workflows made easy, locally and in the Cloud. Apache-2 +- steppy (🥉14 · ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT - ModelChimp (🥉13 · ⭐ 120 · 💀) - Experiment tracking for machine and deep learning projects. BSD-2 - traintool (🥉8 · ⭐ 11 · 💀) - Train off-the-shelf machine learning models in one.. Apache-2
@@ -6442,68 +6479,68 @@ _Libraries to serialize models to files, convert between a variety of model form
onnx (🥇41 · ⭐ 14K) - Open standard for machine learning interoperability. Apache-2 -- [GitHub](https://github.com/onnx/onnx) (👨‍💻 270 · 🔀 3.4K · 📥 19K · 📦 13K · 📋 2.3K - 15% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/onnx/onnx) (👨‍💻 270 · 🔀 3.4K · 📥 19K · 📦 14K · 📋 2.3K - 15% open · ⏱️ 16.03.2023): ``` git clone https://github.com/onnx/onnx ``` -- [PyPi](https://pypi.org/project/onnx) (📥 2.5M / month · 📦 470 · ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/onnx) (📥 2.7M / month · 📦 480 · ⏱️ 12.12.2022): ``` pip install onnx ``` -- [Conda](https://anaconda.org/conda-forge/onnx) (📥 660K · ⏱️ 15.12.2022): +- [Conda](https://anaconda.org/conda-forge/onnx) (📥 670K · ⏱️ 15.12.2022): ``` conda install -c conda-forge onnx ```
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triton (🥇33 · ⭐ 5.6K) - Development repository for the Triton language and compiler. MIT +
BentoML (🥇34 · ⭐ 4.6K) - Unified Model Serving Framework. Apache-2 -- [GitHub](https://github.com/openai/triton) (👨‍💻 90 · 🔀 520 · 📦 340 · 📋 460 - 30% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 150 · 🔀 540 · 📥 1.7K · 📦 890 · 📋 840 - 17% open · ⏱️ 16.03.2023): ``` - git clone https://github.com/openai/triton + git clone https://github.com/bentoml/BentoML ``` -- [PyPi](https://pypi.org/project/triton) (📥 570K / month · 📦 10 · ⏱️ 04.07.2022): +- [PyPi](https://pypi.org/project/bentoml) (📥 39K / month · 📦 8 · ⏱️ 15.02.2023): ``` - pip install triton + pip install bentoml ```
-
BentoML (🥇33 · ⭐ 4.6K) - Unified Model Serving Framework. Apache-2 +
triton (🥈33 · ⭐ 5.8K) - Development repository for the Triton language and compiler. MIT -- [GitHub](https://github.com/bentoml/BentoML) (👨‍💻 150 · 🔀 530 · 📥 1.7K · 📦 890 · 📋 860 - 18% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/openai/triton) (👨‍💻 96 · 🔀 520 · 📦 390 · 📋 480 - 31% open · ⏱️ 16.03.2023): ``` - git clone https://github.com/bentoml/BentoML + git clone https://github.com/openai/triton ``` -- [PyPi](https://pypi.org/project/bentoml) (📥 39K / month · 📦 8 · ⏱️ 15.02.2023): +- [PyPi](https://pypi.org/project/triton) (📥 760K / month · 📦 10 · ⏱️ 04.07.2022): ``` - pip install bentoml + pip install triton ```
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huggingface_hub (🥈32 · ⭐ 730) - All the open source things related to the Hugging Face Hub. Apache-2 +
huggingface_hub (🥈32 · ⭐ 750) - All the open source things related to the Hugging Face Hub. Apache-2 -- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 89 · 🔀 180 · 📋 430 - 18% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/huggingface/huggingface_hub) (👨‍💻 89 · 🔀 180 · 📋 440 - 19% open · ⏱️ 14.03.2023): ``` git clone https://github.com/huggingface/huggingface_hub ``` -- [PyPi](https://pypi.org/project/huggingface_hub) (📥 9.4M / month · 📦 180 · ⏱️ 25.01.2023): +- [PyPi](https://pypi.org/project/huggingface_hub) (📥 10M / month · 📦 190 · ⏱️ 25.01.2023): ``` pip install huggingface_hub ``` -- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 870K · ⏱️ 09.03.2023): +- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (📥 910K · ⏱️ 13.03.2023): ``` conda install -c conda-forge huggingface_hub ```
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TorchServe (🥈31 · ⭐ 3.2K) - Serve, optimize and scale PyTorch models in production. Apache-2 +
TorchServe (🥈31 · ⭐ 3.3K) - Serve, optimize and scale PyTorch models in production. Apache-2 -- [GitHub](https://github.com/pytorch/serve) (👨‍💻 150 · 🔀 690 · 📥 2.6K · 📋 1.2K - 19% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/pytorch/serve) (👨‍💻 150 · 🔀 690 · 📥 2.6K · 📋 1.2K - 19% open · ⏱️ 13.03.2023): ``` git clone https://github.com/pytorch/serve ``` -- [PyPi](https://pypi.org/project/torchserve) (📥 30K / month · 📦 11 · ⏱️ 12.12.2022): +- [PyPi](https://pypi.org/project/torchserve) (📥 34K / month · 📦 11 · ⏱️ 12.12.2022): ``` pip install torchserve ``` @@ -6518,7 +6555,7 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (🥈31 · ⭐ 3.2K) - Core ML tools contain supporting tools for Core ML model.. BSD-3 -- [GitHub](https://github.com/apple/coremltools) (👨‍💻 140 · 🔀 490 · 📥 6K · 📦 2.9K · 📋 1.1K - 18% open · ⏱️ 21.02.2023): +- [GitHub](https://github.com/apple/coremltools) (👨‍💻 150 · 🔀 490 · 📥 6K · 📦 2.9K · 📋 1.1K - 18% open · ⏱️ 10.03.2023): ``` git clone https://github.com/apple/coremltools @@ -6534,12 +6571,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Hummingbird (🥈28 · ⭐ 3.1K) - Hummingbird compiles trained ML models into tensor computation for.. MIT -- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 37 · 🔀 260 · 📥 220 · 📦 68 · 📋 280 - 19% open · ⏱️ 28.02.2023): +- [GitHub](https://github.com/microsoft/hummingbird) (👨‍💻 37 · 🔀 260 · 📥 220 · 📦 68 · 📋 280 - 19% open · ⏱️ 16.03.2023): ``` git clone https://github.com/microsoft/hummingbird ``` -- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 5.9K / month · 📦 4 · ⏱️ 28.02.2023): +- [PyPi](https://pypi.org/project/hummingbird-ml) (📥 6.5K / month · 📦 4 · ⏱️ 28.02.2023): ``` pip install hummingbird-ml ``` @@ -6548,14 +6585,14 @@ _Libraries to serialize models to files, convert between a variety of model form conda install -c conda-forge hummingbird-ml ```
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nebullvm (🥈26 · ⭐ 6.2K) - Plug and play modules to optimize the performances of your AI.. Apache-2 +
nebullvm (🥈26 · ⭐ 6.7K) - Plug and play modules to optimize the performances of your AI.. Apache-2 -- [GitHub](https://github.com/nebuly-ai/nebullvm) (👨‍💻 33 · 🔀 430 · 📦 8 · 📋 120 - 44% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/nebuly-ai/nebullvm) (👨‍💻 34 · 🔀 480 · 📦 8 · 📋 160 - 50% open · ⏱️ 15.03.2023): ``` git clone https://github.com/nebuly-ai/nebullvm ``` -- [PyPi](https://pypi.org/project/nebullvm) (📥 870 / month · 📦 1 · ⏱️ 23.01.2023): +- [PyPi](https://pypi.org/project/nebullvm) (📥 1K / month · 📦 1 · ⏱️ 23.01.2023): ``` pip install nebullvm ``` @@ -6567,7 +6604,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/Microsoft/MMdnn ``` -- [PyPi](https://pypi.org/project/mmdnn) (📥 410 / month · 📦 3 · ⏱️ 24.07.2020): +- [PyPi](https://pypi.org/project/mmdnn) (📥 440 / month · 📦 3 · ⏱️ 24.07.2020): ``` pip install mmdnn ``` @@ -6579,7 +6616,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/BayesWitnesses/m2cgen ``` -- [PyPi](https://pypi.org/project/m2cgen) (📥 14K / month · 📦 3 · ⏱️ 26.04.2022): +- [PyPi](https://pypi.org/project/m2cgen) (📥 15K / month · 📦 3 · ⏱️ 26.04.2022): ``` pip install m2cgen ``` @@ -6591,7 +6628,7 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/cortexlabs/cortex ``` -- [PyPi](https://pypi.org/project/cortex) (📥 1.6K / month · 📦 1 · ⏱️ 23.09.2022): +- [PyPi](https://pypi.org/project/cortex) (📥 1.5K / month · 📦 1 · ⏱️ 23.09.2022): ``` pip install cortex ``` @@ -6603,19 +6640,19 @@ _Libraries to serialize models to files, convert between a variety of model form ``` git clone https://github.com/nok/sklearn-porter ``` -- [PyPi](https://pypi.org/project/sklearn-porter) (📥 480 / month · 📦 1 · ⏱️ 18.12.2019): +- [PyPi](https://pypi.org/project/sklearn-porter) (📥 520 / month · 📦 1 · ⏱️ 18.12.2019): ``` pip install sklearn-porter ```
hls4ml (🥉23 · ⭐ 770) - Machine learning on FPGAs using HLS. Apache-2 -- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨‍💻 49 · 🔀 290 · 📋 340 - 40% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/fastmachinelearning/hls4ml) (👨‍💻 49 · 🔀 290 · 📋 350 - 39% open · ⏱️ 10.03.2023): ``` git clone https://github.com/fastmachinelearning/hls4ml ``` -- [PyPi](https://pypi.org/project/hls4ml) (📥 650 / month · ⏱️ 12.11.2021): +- [PyPi](https://pypi.org/project/hls4ml) (📥 640 / month · ⏱️ 12.11.2021): ``` pip install hls4ml ``` @@ -6627,12 +6664,12 @@ _Libraries to serialize models to files, convert between a variety of model form
Show 7 hidden projects... - Larq Compute Engine (🥉20 · ⭐ 220) - Highly optimized inference engine for Binarized.. Apache-2 -- pytorch2keras (🥉19 · ⭐ 830 · 💀) - PyTorch to Keras model convertor. MIT -- OMLT (🥉19 · ⭐ 180) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 +- pytorch2keras (🥉19 · ⭐ 840 · 💀) - PyTorch to Keras model convertor. MIT +- OMLT (🥉19 · ⭐ 190) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3 - tfdeploy (🥉16 · ⭐ 350 · 💀) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3 - modelkit (🥉16 · ⭐ 140) - Toolkit for developing and maintaining ML models. MIT - backprop (🥉14 · ⭐ 230 · 💀) - Backprop makes it simple to use, finetune, and deploy state-of-.. Apache-2 -- ml-ane-transformers (🥉11 · ⭐ 600 · 💤) - Reference implementation of the Transformer.. ❗Unlicensed +- ml-ane-transformers (🥉11 · ⭐ 610 · 💤) - Reference implementation of the Transformer.. ❗Unlicensed

@@ -6644,12 +6681,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shap (🥇38 · ⭐ 19K · 💤) - A game theoretic approach to explain the output of any machine learning.. MIT -- [GitHub](https://github.com/slundberg/shap) (👨‍💻 200 · 🔀 2.8K · 📦 9.9K · 📋 2.2K - 70% open · ⏱️ 16.06.2022): +- [GitHub](https://github.com/slundberg/shap) (👨‍💻 200 · 🔀 2.8K · 📦 10K · 📋 2.2K - 70% open · ⏱️ 16.06.2022): ``` git clone https://github.com/slundberg/shap ``` -- [PyPi](https://pypi.org/project/shap) (📥 7.1M / month · 📦 300 · ⏱️ 16.06.2022): +- [PyPi](https://pypi.org/project/shap) (📥 7M / month · 📦 300 · ⏱️ 16.06.2022): ``` pip install shap ``` @@ -6660,19 +6697,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (🥇34 · ⭐ 22K) - Visualizer for neural network, deep learning, and machine.. MIT -- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 2.4K · 📥 63K · 📦 10 · 📋 910 - 2% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/lutzroeder/netron) (👨‍💻 2 · 🔀 2.4K · 📥 67K · 📦 10 · 📋 910 - 2% open · ⏱️ 16.03.2023): ``` git clone https://github.com/lutzroeder/netron ``` -- [PyPi](https://pypi.org/project/netron) (📥 12K / month · 📦 70 · ⏱️ 28.01.2023): +- [PyPi](https://pypi.org/project/netron) (📥 13K / month · 📦 70 · ⏱️ 28.01.2023): ``` pip install netron ```
arviz (🥇34 · ⭐ 1.4K) - Exploratory analysis of Bayesian models with Python. Apache-2 -- [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 140 · 🔀 320 · 📥 120 · 📦 3.6K · 📋 810 - 20% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/arviz-devs/arviz) (👨‍💻 140 · 🔀 320 · 📥 120 · 📦 3.7K · 📋 810 - 20% open · ⏱️ 07.03.2023): ``` git clone https://github.com/arviz-devs/arviz @@ -6681,26 +6718,26 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install arviz ``` -- [Conda](https://anaconda.org/conda-forge/arviz) (📥 1.3M · ⏱️ 16.11.2022): +- [Conda](https://anaconda.org/conda-forge/arviz) (📥 1.3M · ⏱️ 14.03.2023): ``` conda install -c conda-forge arviz ```
InterpretML (🥇33 · ⭐ 5.3K) - Fit interpretable models. Explain blackbox machine learning. MIT -- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 36 · 🔀 640 · 📦 360 · 📋 380 - 25% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/interpretml/interpret) (👨‍💻 36 · 🔀 650 · 📦 370 · 📋 350 - 18% open · ⏱️ 16.03.2023): ``` git clone https://github.com/interpretml/interpret ``` -- [PyPi](https://pypi.org/project/interpret) (📥 72K / month · 📦 21 · ⏱️ 18.11.2022): +- [PyPi](https://pypi.org/project/interpret) (📥 67K / month · 📦 25 · ⏱️ 18.11.2022): ``` pip install interpret ```
Captum (🥇33 · ⭐ 3.8K) - Model interpretability and understanding for PyTorch. BSD-3 -- [GitHub](https://github.com/pytorch/captum) (👨‍💻 98 · 🔀 400 · 📦 1K · 📋 460 - 33% open · ⏱️ 03.02.2023): +- [GitHub](https://github.com/pytorch/captum) (👨‍💻 98 · 🔀 410 · 📦 1K · 📋 460 - 33% open · ⏱️ 03.02.2023): ``` git clone https://github.com/pytorch/captum @@ -6709,19 +6746,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` pip install captum ``` -- [Conda](https://anaconda.org/conda-forge/captum) (📥 6.1K · ⏱️ 15.02.2023): +- [Conda](https://anaconda.org/conda-forge/captum) (📥 6.4K · ⏱️ 15.02.2023): ``` conda install -c conda-forge captum ```
pyLDAvis (🥇33 · ⭐ 1.7K) - Python library for interactive topic model visualization. Port of.. BSD-3 -- [GitHub](https://github.com/bmabey/pyLDAvis) (👨‍💻 39 · 🔀 350 · 📦 4.6K · 📋 180 - 48% open · ⏱️ 15.02.2023): +- [GitHub](https://github.com/bmabey/pyLDAvis) (👨‍💻 39 · 🔀 350 · 📦 4.7K · 📋 180 - 47% open · ⏱️ 15.02.2023): ``` git clone https://github.com/bmabey/pyLDAvis ``` -- [PyPi](https://pypi.org/project/pyldavis) (📥 920K / month · 📦 150 · ⏱️ 24.03.2021): +- [PyPi](https://pypi.org/project/pyldavis) (📥 940K / month · 📦 150 · ⏱️ 24.03.2021): ``` pip install pyldavis ``` @@ -6730,14 +6767,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge pyldavis ```
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DoWhy (🥈32 · ⭐ 5.7K) - DoWhy is a Python library for causal inference that supports explicit.. MIT +
DoWhy (🥈31 · ⭐ 5.7K) - DoWhy is a Python library for causal inference that supports explicit.. MIT -- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 71 · 🔀 810 · 📥 31 · 📦 210 · 📋 350 - 31% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/py-why/dowhy) (👨‍💻 71 · 🔀 800 · 📥 31 · 📦 210 · 📋 350 - 31% open · ⏱️ 16.03.2023): ``` git clone https://github.com/py-why/dowhy ``` -- [PyPi](https://pypi.org/project/dowhy) (📥 66K / month · 📦 5 · ⏱️ 17.12.2022): +- [PyPi](https://pypi.org/project/dowhy) (📥 58K / month · 📦 5 · ⏱️ 17.12.2022): ``` pip install dowhy ``` @@ -6748,12 +6785,12 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
dtreeviz (🥈31 · ⭐ 2.4K) - A python library for decision tree visualization and model interpretation. MIT -- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 22 · 🔀 300 · 📦 650 · 📋 170 - 26% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/parrt/dtreeviz) (👨‍💻 22 · 🔀 300 · 📦 660 · 📋 170 - 27% open · ⏱️ 07.03.2023): ``` git clone https://github.com/parrt/dtreeviz ``` -- [PyPi](https://pypi.org/project/dtreeviz) (📥 97K / month · 📦 20 · ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/dtreeviz) (📥 100K / month · 📦 20 · ⏱️ 29.01.2023): ``` pip install dtreeviz ``` @@ -6764,60 +6801,72 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
shapash (🥈30 · ⭐ 2.1K) - Shapash makes Machine Learning models transparent and.. Apache-2 -- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 35 · 🔀 260 · 📦 100 · 📋 150 - 15% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/MAIF/shapash) (👨‍💻 35 · 🔀 260 · 📦 100 · 📋 150 - 15% open · ⏱️ 14.03.2023): ``` git clone https://github.com/MAIF/shapash ``` -- [PyPi](https://pypi.org/project/shapash) (📥 17K / month · 📦 1 · ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/shapash) (📥 16K / month · 📦 1 · ⏱️ 17.01.2023): ``` pip install shapash ```
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Model Analysis (🥈30 · ⭐ 1.2K · 📉) - Model analysis tools for TensorFlow. Apache-2 +
evaluate (🥈30 · ⭐ 1.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 + +- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 120 · 🔀 120 · 📦 1.2K · 📋 190 - 42% open · ⏱️ 14.03.2023): + + ``` + git clone https://github.com/huggingface/evaluate + ``` +- [PyPi](https://pypi.org/project/evaluate) (📥 280K / month · 📦 42 · ⏱️ 13.12.2022): + ``` + pip install evaluate + ``` +
+
Model Analysis (🥈30 · ⭐ 1.2K) - Model analysis tools for TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 53 · 🔀 260 · 📋 81 - 37% open · ⏱️ 02.03.2023): +- [GitHub](https://github.com/tensorflow/model-analysis) (👨‍💻 53 · 🔀 260 · 📋 81 - 37% open · ⏱️ 15.03.2023): ``` git clone https://github.com/tensorflow/model-analysis ``` -- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 720K / month · 📦 21 · ⏱️ 09.12.2022): +- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (📥 550K / month · 📦 21 · ⏱️ 09.12.2022): ``` pip install tensorflow-model-analysis ```
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evaluate (🥈30 · ⭐ 1.2K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2 +
responsible-ai-widgets (🥈30 · ⭐ 730) - Responsible AI Toolbox is a suite of tools providing.. MIT -- [GitHub](https://github.com/huggingface/evaluate) (👨‍💻 120 · 🔀 120 · 📦 1.1K · 📋 170 - 38% open · ⏱️ 01.03.2023): +- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 33 · 🔀 190 · 📦 47 · 📋 290 - 23% open · ⏱️ 15.03.2023): ``` - git clone https://github.com/huggingface/evaluate + git clone https://github.com/microsoft/responsible-ai-toolbox ``` -- [PyPi](https://pypi.org/project/evaluate) (📥 280K / month · 📦 6 · ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/raiwidgets) (📥 9.3K / month · 📦 3 · ⏱️ 18.01.2023): ``` - pip install evaluate + pip install raiwidgets ```
Alibi (🥈29 · ⭐ 2K) - Algorithms for explaining machine learning models. Apache-2 -- [GitHub](https://github.com/SeldonIO/alibi) (👨‍💻 18 · 🔀 220 · 📦 440 · 📋 350 - 39% open · ⏱️ 01.03.2023): +- [GitHub](https://github.com/SeldonIO/alibi) (👨‍💻 18 · 🔀 220 · 📦 440 · 📋 350 - 39% open · ⏱️ 13.03.2023): ``` git clone https://github.com/SeldonIO/alibi ``` -- [PyPi](https://pypi.org/project/alibi) (📥 17K / month · 📦 25 · ⏱️ 11.01.2023): +- [PyPi](https://pypi.org/project/alibi) (📥 15K / month · 📦 27 · ⏱️ 11.01.2023): ``` pip install alibi ```
fairlearn (🥈29 · ⭐ 1.5K) - A Python package to assess and improve fairness of machine.. MIT -- [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 72 · 🔀 340 · 📋 430 - 39% open · ⏱️ 18.02.2023): +- [GitHub](https://github.com/fairlearn/fairlearn) (👨‍💻 74 · 🔀 340 · 📋 430 - 39% open · ⏱️ 16.03.2023): ``` git clone https://github.com/fairlearn/fairlearn ``` -- [PyPi](https://pypi.org/project/fairlearn) (📥 180K / month · 📦 13 · ⏱️ 28.10.2022): +- [PyPi](https://pypi.org/project/fairlearn) (📥 170K / month · 📦 13 · ⏱️ 28.10.2022): ``` pip install fairlearn ``` @@ -6826,18 +6875,6 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin conda install -c conda-forge fairlearn ```
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responsible-ai-widgets (🥈29 · ⭐ 720) - Responsible AI Toolbox is a suite of tools providing.. MIT - -- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (👨‍💻 32 · 🔀 190 · 📦 47 · 📋 290 - 22% open · ⏱️ 03.03.2023): - - ``` - git clone https://github.com/microsoft/responsible-ai-toolbox - ``` -- [PyPi](https://pypi.org/project/raiwidgets) (📥 8.9K / month · 📦 3 · ⏱️ 18.01.2023): - ``` - pip install raiwidgets - ``` -
yellowbrick (🥈28 · ⭐ 3.9K) - Visual analysis and diagnostic tools to facilitate machine.. Apache-2 - [GitHub](https://github.com/DistrictDataLabs/yellowbrick) (👨‍💻 110 · 🔀 540 · 📋 690 - 12% open · ⏱️ 07.03.2023): @@ -6845,7 +6882,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/DistrictDataLabs/yellowbrick ``` -- [PyPi](https://pypi.org/project/yellowbrick) (📥 880K / month · 📦 67 · ⏱️ 21.08.2022): +- [PyPi](https://pypi.org/project/yellowbrick) (📥 870K / month · 📦 67 · ⏱️ 21.08.2022): ``` pip install yellowbrick ``` @@ -6861,7 +6898,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/oegedijk/explainerdashboard ``` -- [PyPi](https://pypi.org/project/explainerdashboard) (📥 33K / month · 📦 6 · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/explainerdashboard) (📥 35K / month · 📦 6 · ⏱️ 02.01.2023): ``` pip install explainerdashboard ``` @@ -6877,11 +6914,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/Trusted-AI/AIF360 ``` -- [PyPi](https://pypi.org/project/aif360) (📥 8.7K / month · 📦 10 · ⏱️ 03.09.2022): +- [PyPi](https://pypi.org/project/aif360) (📥 9.3K / month · 📦 10 · ⏱️ 03.09.2022): ``` pip install aif360 ``` -- [Conda](https://anaconda.org/conda-forge/aif360) (📥 5K · ⏱️ 04.09.2022): +- [Conda](https://anaconda.org/conda-forge/aif360) (📥 5.1K · ⏱️ 04.09.2022): ``` conda install -c conda-forge aif360 ``` @@ -6893,31 +6930,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/quantumblacklabs/causalnex ``` -- [PyPi](https://pypi.org/project/causalnex) (📥 10K / month · 📦 2 · ⏱️ 17.01.2023): +- [PyPi](https://pypi.org/project/causalnex) (📥 9.4K / month · 📦 2 · ⏱️ 17.01.2023): ``` pip install causalnex ```
iNNvestigate (🥉26 · ⭐ 1.1K) - A toolbox to iNNvestigate neural networks predictions!. BSD-2 -- [GitHub](https://github.com/albermax/innvestigate) (👨‍💻 19 · 🔀 230 · 📥 51 · 📦 94 · 📋 250 - 20% open · ⏱️ 31.01.2023): +- [GitHub](https://github.com/albermax/innvestigate) (👨‍💻 19 · 🔀 230 · 📥 52 · 📦 94 · 📋 250 - 20% open · ⏱️ 31.01.2023): ``` git clone https://github.com/albermax/innvestigate ``` -- [PyPi](https://pypi.org/project/innvestigate) (📥 780 / month · 📦 2 · ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/innvestigate) (📥 700 / month · 📦 2 · ⏱️ 31.01.2023): ``` pip install innvestigate ```
imodels (🥉26 · ⭐ 1.1K) - Interpretable ML package for concise, transparent, and accurate.. MIT -- [GitHub](https://github.com/csinva/imodels) (👨‍💻 15 · 🔀 97 · 📦 40 · 📋 61 - 36% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/csinva/imodels) (👨‍💻 16 · 🔀 98 · 📦 40 · 📋 63 - 34% open · ⏱️ 12.03.2023): ``` git clone https://github.com/csinva/imodels ``` -- [PyPi](https://pypi.org/project/imodels) (📥 43K / month · 📦 4 · ⏱️ 03.07.2022): +- [PyPi](https://pypi.org/project/imodels) (📥 34K / month · 📦 4 · ⏱️ 03.07.2022): ``` pip install imodels ``` @@ -6929,7 +6966,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/checklist ``` -- [PyPi](https://pypi.org/project/checklist) (📥 5.1K / month · 📦 6 · ⏱️ 24.05.2021): +- [PyPi](https://pypi.org/project/checklist) (📥 5K / month · 📦 6 · ⏱️ 24.05.2021): ``` pip install checklist ``` @@ -6945,7 +6982,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/PAIR-code/lit ``` -- [PyPi](https://pypi.org/project/lit-nlp) (📥 750 / month · 📦 1 · ⏱️ 02.12.2022): +- [PyPi](https://pypi.org/project/lit-nlp) (📥 730 / month · 📦 1 · ⏱️ 02.12.2022): ``` pip install lit-nlp ``` @@ -6966,26 +7003,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin pip install aix360 ```
-
DiCE (🥉22 · ⭐ 1K) - Generate Diverse Counterfactual Explanations for any machine learning.. MIT - -- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 16 · 🔀 150 · 📋 140 - 38% open · ⏱️ 03.02.2023): - - ``` - git clone https://github.com/interpretml/DiCE - ``` -- [PyPi](https://pypi.org/project/dice-ml) (📥 32K / month · 📦 4 · ⏱️ 19.10.2022): - ``` - pip install dice-ml - ``` -
keract (🥉22 · ⭐ 1K) - Layers Outputs and Gradients in Keras. Made easy. MIT -- [GitHub](https://github.com/philipperemy/keract) (👨‍💻 16 · 🔀 180 · 📦 160 · 📋 89 - 3% open · ⏱️ 03.11.2022): +- [GitHub](https://github.com/philipperemy/keract) (👨‍💻 16 · 🔀 180 · 📦 170 · 📋 89 - 3% open · ⏱️ 03.11.2022): ``` git clone https://github.com/philipperemy/keract ``` -- [PyPi](https://pypi.org/project/keract) (📥 8K / month · 📦 6 · ⏱️ 25.09.2022): +- [PyPi](https://pypi.org/project/keract) (📥 7.4K / month · 📦 6 · ⏱️ 25.09.2022): ``` pip install keract ``` @@ -6997,11 +7022,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/edublancas/sklearn-evaluation ``` -- [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 82K / month · 📦 5 · ⏱️ 07.03.2023): +- [PyPi](https://pypi.org/project/sklearn-evaluation) (📥 74K / month · 📦 5 · ⏱️ 07.03.2023): ``` pip install sklearn-evaluation ```
+
DiCE (🥉21 · ⭐ 1K) - Generate Diverse Counterfactual Explanations for any machine learning.. MIT + +- [GitHub](https://github.com/interpretml/DiCE) (👨‍💻 16 · 🔀 150 · 📋 140 - 38% open · ⏱️ 03.02.2023): + + ``` + git clone https://github.com/interpretml/DiCE + ``` +- [PyPi](https://pypi.org/project/dice-ml) (📥 29K / month · 📦 4 · ⏱️ 19.10.2022): + ``` + pip install dice-ml + ``` +
tf-explain (🥉21 · ⭐ 970 · 💤) - Interpretability Methods for tf.keras models with Tensorflow.. MIT - [GitHub](https://github.com/sicara/tf-explain) (👨‍💻 18 · 🔀 110 · 📦 160 · 📋 92 - 44% open · ⏱️ 30.06.2022): @@ -7014,26 +7051,26 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin pip install tf-explain ```
-
aequitas (🥉20 · ⭐ 530) - Bias and Fairness Audit Toolkit. MIT +
aequitas (🥉21 · ⭐ 530) - Bias and Fairness Audit Toolkit. MIT - [GitHub](https://github.com/dssg/aequitas) (👨‍💻 17 · 🔀 94 · 📦 130 · 📋 69 - 69% open · ⏱️ 12.12.2022): ``` git clone https://github.com/dssg/aequitas ``` -- [PyPi](https://pypi.org/project/aequitas) (📥 2.6K / month · 📦 6 · ⏱️ 16.12.2020): +- [PyPi](https://pypi.org/project/aequitas) (📥 2.2K / month · 📦 6 · ⏱️ 16.12.2020): ``` pip install aequitas ```
model-card-toolkit (🥉18 · ⭐ 360) - A toolkit that streamlines and automates the generation.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-card-toolkit) (👨‍💻 20 · 🔀 76 · 📦 13 · 📋 24 - 41% open · ⏱️ 18.01.2023): +- [GitHub](https://github.com/tensorflow/model-card-toolkit) (👨‍💻 20 · 🔀 77 · 📦 13 · 📋 24 - 41% open · ⏱️ 18.01.2023): ``` git clone https://github.com/tensorflow/model-card-toolkit ``` -- [PyPi](https://pypi.org/project/model-card-toolkit) (📥 1K / month · ⏱️ 28.04.2022): +- [PyPi](https://pypi.org/project/model-card-toolkit) (📥 1.5K / month · ⏱️ 28.04.2022): ``` pip install model-card-toolkit ``` @@ -7045,14 +7082,14 @@ _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) (📥 870 / month · ⏱️ 13.12.2022): +- [PyPi](https://pypi.org/project/fairness-indicators) (📥 950 / month · ⏱️ 13.12.2022): ``` pip install fairness-indicators ```
-
LOFO (🥉17 · ⭐ 700) - Leave One Feature Out Importance. MIT +
LOFO (🥉17 · ⭐ 710) - Leave One Feature Out Importance. MIT -- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 4 · 🔀 72 · 📦 25 · 📋 22 - 18% open · ⏱️ 08.12.2022): +- [GitHub](https://github.com/aerdem4/lofo-importance) (👨‍💻 4 · 🔀 73 · 📦 25 · 📋 22 - 18% open · ⏱️ 08.12.2022): ``` git clone https://github.com/aerdem4/lofo-importance @@ -7069,7 +7106,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/marcotcr/anchor ``` -- [PyPi](https://pypi.org/project/anchor_exp) (📥 1.8K / month · 📦 2 · ⏱️ 10.09.2020): +- [PyPi](https://pypi.org/project/anchor_exp) (📥 1.7K / month · 📦 2 · ⏱️ 10.09.2020): ``` pip install anchor_exp ``` @@ -7081,7 +7118,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin ``` git clone https://github.com/explainX/explainx ``` -- [PyPi](https://pypi.org/project/explainx) (📥 3.1K / month · ⏱️ 04.02.2021): +- [PyPi](https://pypi.org/project/explainx) (📥 2.9K / month · ⏱️ 04.02.2021): ``` pip install explainx ``` @@ -7095,20 +7132,20 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin - Lucid (🥈27 · ⭐ 4.5K · 💀) - A collection of infrastructure and tools for research in.. Apache-2 - eli5 (🥉26 · ⭐ 2.7K · 💀) - A library for debugging/inspecting machine learning classifiers and.. MIT - keras-vis (🥉25 · ⭐ 2.9K · 💀) - Neural network visualization toolkit for keras. MIT -- What-If Tool (🥉22 · ⭐ 780 · 💀) - Source code/webpage/demos for the What-If Tool. Apache-2 +- What-If Tool (🥉22 · ⭐ 790 · 💀) - Source code/webpage/demos for the What-If Tool. Apache-2 - TreeInterpreter (🥉22 · ⭐ 720 · 💀) - Package for interpreting scikit-learns decision tree.. BSD-3 -- random-forest-importances (🥉22 · ⭐ 540 · 💀) - Code to compute permutation and drop-column.. MIT +- random-forest-importances (🥉22 · ⭐ 550 · 💀) - Code to compute permutation and drop-column.. MIT - deeplift (🥉21 · ⭐ 710 · 💀) - Public facing deeplift repo. MIT - Quantus (🥉21 · ⭐ 320) - Quantus is an eXplainable AI toolkit for responsible evaluation of.. ❗️LGPL-3.0 - ecco (🥉20 · ⭐ 1.6K · 💀) - Explain, analyze, and visualize NLP language models. Ecco creates.. BSD-3 - Skater (🥉20 · ⭐ 1.1K · 💀) - Python Library for Model Interpretation/Explanations. ❗️UPL-1.0 -- tcav (🥉18 · ⭐ 560 · 💀) - Code for the TCAV ML interpretability project. Apache-2 +- tcav (🥉19 · ⭐ 560 · 💀) - Code for the TCAV ML interpretability project. Apache-2 - XAI (🥉17 · ⭐ 890 · 💀) - XAI - An eXplainability toolbox for machine learning. MIT - FlashTorch (🥉16 · ⭐ 700 · 💀) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT - interpret-text (🥉14 · ⭐ 360 · 💀) - A library that incorporates state-of-the-art explainers.. MIT - Attribution Priors (🥉12 · ⭐ 110 · 💀) - Tools for training explainable models using.. MIT - contextual-ai (🥉12 · ⭐ 82 · 💀) - Contextual AI adds explainability to different stages of.. Apache-2 -- bias-detector (🥉11 · ⭐ 40) - Bias Detector is a python package for detecting bias in machine.. MIT +- bias-detector (🥉11 · ⭐ 41) - Bias Detector is a python package for detecting bias in machine.. MIT

@@ -7122,7 +7159,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
Milvus (🥇38 · ⭐ 15K) - Vector database for scalable similarity search and AI applications. Apache-2 -- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 230 · 🔀 2K · 📥 33K · 📋 7.2K - 5% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/milvus-io/milvus) (👨‍💻 230 · 🔀 2K · 📥 34K · 📋 7.3K - 4% open · ⏱️ 16.03.2023): ``` git clone https://github.com/milvus-io/milvus @@ -7131,14 +7168,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install pymilvus ``` -- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 3M · ⭐ 24 · ⏱️ 09.03.2023): +- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (📥 3M · ⭐ 25 · ⏱️ 16.03.2023): ``` docker pull milvusdb/milvus ```
Faiss (🥇37 · ⭐ 20K) - A library for efficient similarity search and clustering of dense vectors. MIT -- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 130 · 🔀 2.8K · 📦 930 · 📋 2K - 14% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/facebookresearch/faiss) (👨‍💻 130 · 🔀 2.8K · 📦 940 · 📋 2.1K - 14% open · ⏱️ 14.03.2023): ``` git clone https://github.com/facebookresearch/faiss @@ -7147,7 +7184,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` pip install pymilvus ``` -- [Conda](https://anaconda.org/conda-forge/faiss) (📥 660K · ⏱️ 10.01.2023): +- [Conda](https://anaconda.org/conda-forge/faiss) (📥 670K · ⏱️ 10.01.2023): ``` conda install -c conda-forge faiss ``` @@ -7175,23 +7212,23 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/nmslib/nmslib ``` -- [PyPi](https://pypi.org/project/nmslib) (📥 270K / month · 📦 52 · ⏱️ 03.02.2021): +- [PyPi](https://pypi.org/project/nmslib) (📥 280K / month · 📦 52 · ⏱️ 03.02.2021): ``` pip install nmslib ``` -- [Conda](https://anaconda.org/conda-forge/nmslib) (📥 79K · ⏱️ 30.10.2022): +- [Conda](https://anaconda.org/conda-forge/nmslib) (📥 80K · ⏱️ 30.10.2022): ``` conda install -c conda-forge nmslib ```
hnswlib (🥈30 · ⭐ 2.4K) - Header-only C++/python library for fast approximate nearest neighbors. Apache-2 -- [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 65 · 🔀 430 · 📦 400 · 📋 280 - 53% open · ⏱️ 05.02.2023): +- [GitHub](https://github.com/nmslib/hnswlib) (👨‍💻 65 · 🔀 430 · 📦 410 · 📋 280 - 52% open · ⏱️ 05.02.2023): ``` git clone https://github.com/nmslib/hnswlib ``` -- [PyPi](https://pypi.org/project/hnswlib) (📥 340K / month · 📦 32 · ⏱️ 14.02.2022): +- [PyPi](https://pypi.org/project/hnswlib) (📥 390K / month · 📦 32 · ⏱️ 14.02.2022): ``` pip install hnswlib ``` @@ -7202,7 +7239,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
PyNNDescent (🥉28 · ⭐ 730) - A Python nearest neighbor descent for approximate nearest neighbors. BSD-2 -- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 24 · 🔀 92 · 📦 3K · 📋 120 - 48% open · ⏱️ 24.02.2023): +- [GitHub](https://github.com/lmcinnes/pynndescent) (👨‍💻 24 · 🔀 93 · 📦 3K · 📋 120 - 49% open · ⏱️ 24.02.2023): ``` git clone https://github.com/lmcinnes/pynndescent @@ -7216,7 +7253,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit conda install -c conda-forge pynndescent ```
-
NGT (🥉22 · ⭐ 970) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 +
NGT (🥉22 · ⭐ 980) - Nearest Neighbor Search with Neighborhood Graph and Tree for High-.. Apache-2 - [GitHub](https://github.com/yahoojapan/NGT) (👨‍💻 14 · 🔀 100 · 📋 110 - 13% open · ⏱️ 13.02.2023): @@ -7235,7 +7272,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit ``` git clone https://github.com/pixelogik/NearPy ``` -- [PyPi](https://pypi.org/project/NearPy) (📥 1.6K / month · 📦 16 · ⏱️ 27.09.2016): +- [PyPi](https://pypi.org/project/NearPy) (📥 1.5K / month · 📦 16 · ⏱️ 27.09.2016): ``` pip install NearPy ``` @@ -7256,28 +7293,28 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
PyMC3 (🥇39 · ⭐ 7.4K) - Bayesian Modeling in Python. Apache-2 -- [GitHub](https://github.com/pymc-devs/pymc) (👨‍💻 440 · 🔀 1.8K · 📥 1.9K · 📦 1.2K · 📋 3K - 6% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/pymc-devs/pymc) (👨‍💻 440 · 🔀 1.8K · 📥 1.9K · 📦 1.2K · 📋 3K - 6% open · ⏱️ 16.03.2023): ``` git clone https://github.com/pymc-devs/pymc ``` -- [PyPi](https://pypi.org/project/pymc3) (📥 310K / month · 📦 250 · ⏱️ 15.03.2022): +- [PyPi](https://pypi.org/project/pymc3) (📥 300K / month · 📦 250 · ⏱️ 15.03.2022): ``` pip install pymc3 ``` -- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 490K · ⏱️ 20.05.2022): +- [Conda](https://anaconda.org/conda-forge/pymc3) (📥 500K · ⏱️ 20.05.2022): ``` conda install -c conda-forge pymc3 ```
tensorflow-probability (🥇37 · ⭐ 3.9K) - Probabilistic reasoning and statistical analysis in.. Apache-2 -- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 470 · 🔀 1.1K · 📋 1.3K - 46% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/tensorflow/probability) (👨‍💻 470 · 🔀 1.1K · 📋 1.3K - 46% open · ⏱️ 16.03.2023): ``` git clone https://github.com/tensorflow/probability ``` -- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 760K / month · 📦 390 · ⏱️ 06.12.2022): +- [PyPi](https://pypi.org/project/tensorflow-probability) (📥 740K / month · 📦 390 · ⏱️ 06.12.2022): ``` pip install tensorflow-probability ``` @@ -7288,44 +7325,44 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Pyro (🥇34 · ⭐ 7.8K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2 -- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 140 · 🔀 960 · 📦 1.3K · 📋 1K - 23% open · ⏱️ 04.03.2023): +- [GitHub](https://github.com/pyro-ppl/pyro) (👨‍💻 140 · 🔀 960 · 📦 1.3K · 📋 1K - 22% open · ⏱️ 16.03.2023): ``` git clone https://github.com/pyro-ppl/pyro ``` -- [PyPi](https://pypi.org/project/pyro-ppl) (📥 390K / month · 📦 77 · ⏱️ 03.01.2023): +- [PyPi](https://pypi.org/project/pyro-ppl) (📥 410K / month · 📦 77 · ⏱️ 03.01.2023): ``` pip install pyro-ppl ``` -- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 51K · ⏱️ 04.01.2023): +- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (📥 52K · ⏱️ 04.01.2023): ``` conda install -c conda-forge pyro-ppl ```
GPyTorch (🥈33 · ⭐ 3K) - A highly efficient implementation of Gaussian Processes in PyTorch. MIT -- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 120 · 🔀 470 · 📦 1.1K · 📋 1.2K - 26% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/cornellius-gp/gpytorch) (👨‍💻 120 · 🔀 470 · 📦 1.2K · 📋 1.2K - 26% open · ⏱️ 12.03.2023): ``` git clone https://github.com/cornellius-gp/gpytorch ``` -- [PyPi](https://pypi.org/project/gpytorch) (📥 230K / month · 📦 43 · ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/gpytorch) (📥 240K / month · 📦 43 · ⏱️ 04.01.2023): ``` pip install gpytorch ``` -- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 80K · ⏱️ 06.01.2023): +- [Conda](https://anaconda.org/conda-forge/gpytorch) (📥 81K · ⏱️ 06.01.2023): ``` conda install -c conda-forge gpytorch ```
pgmpy (🥈32 · ⭐ 2.3K) - Python Library for learning (Structure and Parameter), inference.. MIT -- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 110 · 🔀 660 · 📥 200 · 📦 560 · 📋 830 - 28% open · ⏱️ 16.02.2023): +- [GitHub](https://github.com/pgmpy/pgmpy) (👨‍💻 110 · 🔀 660 · 📥 200 · 📦 560 · 📋 830 - 28% open · ⏱️ 12.03.2023): ``` git clone https://github.com/pgmpy/pgmpy ``` -- [PyPi](https://pypi.org/project/pgmpy) (📥 63K / month · 📦 11 · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/pgmpy) (📥 68K / month · 📦 11 · ⏱️ 02.01.2023): ``` pip install pgmpy ``` @@ -7353,7 +7390,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/hmmlearn/hmmlearn ``` -- [PyPi](https://pypi.org/project/hmmlearn) (📥 130K / month · 📦 130 · ⏱️ 26.09.2022): +- [PyPi](https://pypi.org/project/hmmlearn) (📥 140K / month · 📦 130 · ⏱️ 26.09.2022): ``` pip install hmmlearn ``` @@ -7362,14 +7399,30 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge hmmlearn ```
-
SALib (🥈31 · ⭐ 690 · 📉) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST,.. MIT +
GPflow (🥈31 · ⭐ 1.7K) - Gaussian processes in TensorFlow. Apache-2 + +- [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 82 · 🔀 430 · 📦 490 · 📋 810 - 17% open · ⏱️ 15.03.2023): + + ``` + git clone https://github.com/GPflow/GPflow + ``` +- [PyPi](https://pypi.org/project/gpflow) (📥 54K / month · 📦 33 · ⏱️ 27.01.2023): + ``` + pip install gpflow + ``` +- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 19K · ⏱️ 24.05.2022): + ``` + conda install -c conda-forge gpflow + ``` +
+
SALib (🥈31 · ⭐ 690) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and.. MIT -- [GitHub](https://github.com/SALib/SALib) (👨‍💻 39 · 🔀 200 · 📦 670 · 📋 300 - 13% open · ⏱️ 10.01.2023): +- [GitHub](https://github.com/SALib/SALib) (👨‍💻 39 · 🔀 210 · 📦 680 · 📋 300 - 14% open · ⏱️ 10.01.2023): ``` git clone https://github.com/SALib/SALib ``` -- [PyPi](https://pypi.org/project/salib) (📥 130K / month · 📦 65 · ⏱️ 08.01.2023): +- [PyPi](https://pypi.org/project/salib) (📥 130K / month · 📦 77 · ⏱️ 08.01.2023): ``` pip install salib ``` @@ -7385,23 +7438,23 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/twopirllc/pandas-ta ``` -- [PyPi](https://pypi.org/project/pandas-ta) (📥 87K / month · 📦 19 · ⏱️ 28.07.2021): +- [PyPi](https://pypi.org/project/pandas-ta) (📥 85K / month · 📦 19 · ⏱️ 28.07.2021): ``` pip install pandas-ta ``` -- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 9.3K · ⏱️ 05.10.2021): +- [Conda](https://anaconda.org/conda-forge/pandas-ta) (📥 9.6K · ⏱️ 05.10.2021): ``` conda install -c conda-forge pandas-ta ```
filterpy (🥉30 · ⭐ 2.6K · 💤) - Python Kalman filtering and optimal estimation library. Implements.. MIT -- [GitHub](https://github.com/rlabbe/filterpy) (👨‍💻 43 · 🔀 540 · 📦 2.5K · 📋 210 - 25% open · ⏱️ 22.08.2022): +- [GitHub](https://github.com/rlabbe/filterpy) (👨‍💻 43 · 🔀 540 · 📦 2.6K · 📋 210 - 25% open · ⏱️ 22.08.2022): ``` git clone https://github.com/rlabbe/filterpy ``` -- [PyPi](https://pypi.org/project/filterpy) (📥 2.1M / month · 📦 130 · ⏱️ 10.10.2018): +- [PyPi](https://pypi.org/project/filterpy) (📥 2.3M / month · 📦 130 · ⏱️ 10.10.2018): ``` pip install filterpy ``` @@ -7410,22 +7463,6 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes conda install -c conda-forge filterpy ```
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GPflow (🥉30 · ⭐ 1.7K) - Gaussian processes in TensorFlow. Apache-2 - -- [GitHub](https://github.com/GPflow/GPflow) (👨‍💻 81 · 🔀 440 · 📦 490 · 📋 810 - 17% open · ⏱️ 27.01.2023): - - ``` - git clone https://github.com/GPflow/GPflow - ``` -- [PyPi](https://pypi.org/project/gpflow) (📥 51K / month · 📦 33 · ⏱️ 27.01.2023): - ``` - pip install gpflow - ``` -- [Conda](https://anaconda.org/conda-forge/gpflow) (📥 19K · ⏱️ 24.05.2022): - ``` - conda install -c conda-forge gpflow - ``` -
patsy (🥉30 · ⭐ 870) - Describing statistical models in Python using symbolic formulas. BSD-2 - [GitHub](https://github.com/pydata/patsy) (👨‍💻 17 · 🔀 100 · 📦 67K · 📋 140 - 48% open · ⏱️ 09.10.2022): @@ -7433,27 +7470,27 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/pydata/patsy ``` -- [PyPi](https://pypi.org/project/patsy) (📥 7.7M / month · 📦 2.7K · ⏱️ 09.10.2022): +- [PyPi](https://pypi.org/project/patsy) (📥 7.8M / month · 📦 2.7K · ⏱️ 09.10.2022): ``` pip install patsy ``` -- [Conda](https://anaconda.org/conda-forge/patsy) (📥 7.3M · ⏱️ 09.10.2022): +- [Conda](https://anaconda.org/conda-forge/patsy) (📥 7.4M · ⏱️ 09.10.2022): ``` conda install -c conda-forge patsy ```
-
pomegranate (🥉28 · ⭐ 3K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT +
pomegranate (🥉29 · ⭐ 3K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT -- [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 66 · 🔀 550 · 📦 880 · 📋 690 - 11% open · ⏱️ 29.11.2022): +- [GitHub](https://github.com/jmschrei/pomegranate) (👨‍💻 66 · 🔀 560 · 📦 880 · 📋 700 - 12% open · ⏱️ 29.11.2022): ``` git clone https://github.com/jmschrei/pomegranate ``` -- [PyPi](https://pypi.org/project/pomegranate) (📥 45K / month · 📦 46 · ⏱️ 21.02.2022): +- [PyPi](https://pypi.org/project/pomegranate) (📥 42K / month · 📦 46 · ⏱️ 21.02.2022): ``` pip install pomegranate ``` -- [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 110K · ⏱️ 19.09.2022): +- [Conda](https://anaconda.org/conda-forge/pomegranate) (📥 120K · ⏱️ 19.09.2022): ``` conda install -c conda-forge pomegranate ``` @@ -7465,30 +7502,30 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes ``` git clone https://github.com/uber/orbit ``` -- [PyPi](https://pypi.org/project/orbit-ml) (📥 140K / month · 📦 1 · ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/orbit-ml) (📥 150K / month · 📦 1 · ⏱️ 29.01.2023): ``` pip install orbit-ml ```
bambi (🥉26 · ⭐ 880) - BAyesian Model-Building Interface (Bambi) in Python. MIT -- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 28 · 🔀 97 · 📦 58 · 📋 320 - 19% open · ⏱️ 01.03.2023): +- [GitHub](https://github.com/bambinos/bambi) (👨‍💻 28 · 🔀 97 · 📦 59 · 📋 320 - 19% open · ⏱️ 01.03.2023): ``` git clone https://github.com/bambinos/bambi ``` -- [PyPi](https://pypi.org/project/bambi) (📥 5.2K / month · 📦 4 · ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/bambi) (📥 4.3K / month · 📦 4 · ⏱️ 21.12.2022): ``` pip install bambi ``` -- [Conda](https://anaconda.org/conda-forge/bambi) (📥 18K · ⏱️ 10.02.2023): +- [Conda](https://anaconda.org/conda-forge/bambi) (📥 19K · ⏱️ 10.02.2023): ``` conda install -c conda-forge bambi ```
Baal (🥉22 · ⭐ 720) - Library to enable Bayesian active learning in your research or labeling.. Apache-2 -- [GitHub](https://github.com/baal-org/baal) (👨‍💻 19 · 🔀 69 · 📦 48 · 📋 93 - 24% open · ⏱️ 25.02.2023): +- [GitHub](https://github.com/baal-org/baal) (👨‍💻 19 · 🔀 70 · 📦 48 · 📋 94 - 25% open · ⏱️ 25.02.2023): ``` git clone https://github.com/baal-org/baal @@ -7504,12 +7541,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
Show 7 hidden projects... -- pingouin (🥈31 · ⭐ 1.3K) - Statistical package in Python based on Pandas. ❗️GPL-3.0 - Edward (🥉28 · ⭐ 4.8K · 💀) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 -- PyStan (🥉26 · ⭐ 240) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC -- Funsor (🥉21 · ⭐ 220) - Functional tensors for probabilistic programming. Apache-2 +- pingouin (🥉28 · ⭐ 1.3K · 📉) - Statistical package in Python based on Pandas. ❗️GPL-3.0 +- PyStan (🥉26 · ⭐ 250) - PyStan, a Python interface to Stan, a platform for statistical modeling... ISC +- scikit-posthocs (🥉22 · ⭐ 270 · 📈) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT - pyhsmm (🥉20 · ⭐ 530 · 💀) - Bayesian inference in HSMMs and HMMs. MIT -- scikit-posthocs (🥉20 · ⭐ 270) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT +- Funsor (🥉20 · ⭐ 220) - Functional tensors for probabilistic programming. Apache-2 - ZhuSuan (🥉15 · ⭐ 2.2K · 💀) - A probabilistic programming library for Bayesian deep learning,.. MIT

@@ -7522,7 +7559,7 @@ _Libraries for testing the robustness of machine learning models against attacks
ART (🥇33 · ⭐ 3.5K) - Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning.. MIT -- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 120 · 🔀 950 · 📦 320 · 📋 780 - 13% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/Trusted-AI/adversarial-robustness-toolbox) (👨‍💻 120 · 🔀 950 · 📦 330 · 📋 780 - 13% open · ⏱️ 13.03.2023): ``` git clone https://github.com/Trusted-AI/adversarial-robustness-toolbox @@ -7543,7 +7580,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/cleverhans-lab/cleverhans ``` -- [PyPi](https://pypi.org/project/cleverhans) (📥 1.2K / month · 📦 11 · ⏱️ 24.07.2021): +- [PyPi](https://pypi.org/project/cleverhans) (📥 1.4K / month · 📦 11 · ⏱️ 24.07.2021): ``` pip install cleverhans ``` @@ -7552,36 +7589,36 @@ _Libraries for testing the robustness of machine learning models against attacks conda install -c conda-forge cleverhans ```
-
TextAttack (🥈28 · ⭐ 2.3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT +
Foolbox (🥈27 · ⭐ 2.4K · 💤) - A Python toolbox to create adversarial examples that fool neural.. MIT -- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 58 · 🔀 300 · 📦 150 · 📋 230 - 10% open · ⏱️ 21.12.2022): +- [GitHub](https://github.com/bethgelab/foolbox) (👨‍💻 32 · 🔀 410 · 📦 460 · 📋 360 - 8% open · ⏱️ 25.05.2022): ``` - git clone https://github.com/QData/TextAttack + git clone https://github.com/bethgelab/foolbox ``` -- [PyPi](https://pypi.org/project/textattack) (📥 5.7K / month · 📦 7 · ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/foolbox) (📥 2.3K / month · 📦 13 · ⏱️ 02.04.2022): ``` - pip install textattack + pip install foolbox ``` -- [Conda](https://anaconda.org/conda-forge/textattack) (📥 5.1K · ⏱️ 29.06.2021): +- [Conda](https://anaconda.org/conda-forge/foolbox) (📥 9.6K · ⏱️ 30.04.2021): ``` - conda install -c conda-forge textattack + conda install -c conda-forge foolbox ```
-
Foolbox (🥈27 · ⭐ 2.4K · 💤) - A Python toolbox to create adversarial examples that fool neural.. MIT +
TextAttack (🥈27 · ⭐ 2.3K) - TextAttack is a Python framework for adversarial attacks, data.. MIT -- [GitHub](https://github.com/bethgelab/foolbox) (👨‍💻 32 · 🔀 410 · 📦 460 · 📋 360 - 8% open · ⏱️ 25.05.2022): +- [GitHub](https://github.com/QData/TextAttack) (👨‍💻 58 · 🔀 300 · 📦 150 · 📋 230 - 10% open · ⏱️ 21.12.2022): ``` - git clone https://github.com/bethgelab/foolbox + git clone https://github.com/QData/TextAttack ``` -- [PyPi](https://pypi.org/project/foolbox) (📥 2.2K / month · 📦 13 · ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/textattack) (📥 6.7K / month · 📦 7 · ⏱️ 02.11.2022): ``` - pip install foolbox + pip install textattack ``` -- [Conda](https://anaconda.org/conda-forge/foolbox) (📥 9.6K · ⏱️ 30.04.2021): +- [Conda](https://anaconda.org/conda-forge/textattack) (📥 5.1K · ⏱️ 29.06.2021): ``` - conda install -c conda-forge foolbox + conda install -c conda-forge textattack ```
AdvBox (🥉19 · ⭐ 1.3K · 💤) - Advbox is a toolbox to generate adversarial examples that fool.. Apache-2 @@ -7591,7 +7628,7 @@ _Libraries for testing the robustness of machine learning models against attacks ``` git clone https://github.com/advboxes/AdvBox ``` -- [PyPi](https://pypi.org/project/advbox) (📥 32 / month · ⏱️ 05.12.2018): +- [PyPi](https://pypi.org/project/advbox) (📥 35 / month · ⏱️ 05.12.2018): ``` pip install advbox ``` @@ -7599,8 +7636,8 @@ _Libraries for testing the robustness of machine learning models against attacks
Show 4 hidden projects... - advertorch (🥉22 · ⭐ 1.1K · 💤) - A Toolbox for Adversarial Robustness Research. ❗️GPL-3.0 -- robustness (🥉18 · ⭐ 770 · 💀) - A library for experimenting with, training and evaluating neural.. MIT -- textflint (🥉15 · ⭐ 590 · 💤) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 +- robustness (🥉18 · ⭐ 780 · 💀) - A library for experimenting with, training and evaluating neural.. MIT +- textflint (🥉16 · ⭐ 600 · 💤) - Unified Multilingual Robustness Evaluation Toolkit for.. ❗️GPL-3.0 - Adversary (🥉14 · ⭐ 380 · 💀) - Tool to generate adversarial text examples and test machine.. MIT

@@ -7611,14 +7648,14 @@ _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 (🥇38 · ⭐ 6.7K · 📈) - NumPy & SciPy for GPU. MIT +
CuPy (🥇38 · ⭐ 6.8K) - NumPy & SciPy for GPU. MIT -- [GitHub](https://github.com/cupy/cupy) (👨‍💻 330 · 🔀 670 · 📥 64K · 📦 1.5K · 📋 2K - 24% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/cupy/cupy) (👨‍💻 330 · 🔀 670 · 📥 66K · 📦 1.5K · 📋 2K - 24% open · ⏱️ 11.03.2023): ``` git clone https://github.com/cupy/cupy ``` -- [PyPi](https://pypi.org/project/cupy) (📥 20K / month · 📦 180 · ⏱️ 19.01.2023): +- [PyPi](https://pypi.org/project/cupy) (📥 22K / month · 📦 180 · ⏱️ 19.01.2023): ``` pip install cupy ``` @@ -7626,14 +7663,14 @@ _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) (📥 56K · ⭐ 8 · ⏱️ 02.03.2023): +- [Docker Hub](https://hub.docker.com/r/cupy/cupy) (📥 56K · ⭐ 10 · ⏱️ 02.03.2023): ``` docker pull cupy/cupy ```
cuDF (🥇31 · ⭐ 5.4K) - cuDF - GPU DataFrame Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 260 · 🔀 680 · 📋 5.3K - 15% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/rapidsai/cudf) (👨‍💻 260 · 🔀 680 · 📋 5.3K - 15% open · ⏱️ 15.03.2023): ``` git clone https://github.com/rapidsai/cudf @@ -7650,7 +7687,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/inducer/pycuda ``` -- [PyPi](https://pypi.org/project/pycuda) (📥 39K / month · 📦 200 · ⏱️ 21.12.2022): +- [PyPi](https://pypi.org/project/pycuda) (📥 41K / month · 📦 200 · ⏱️ 21.12.2022): ``` pip install pycuda ``` @@ -7661,7 +7698,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
ArrayFire (🥈30 · ⭐ 4.1K) - ArrayFire: a general purpose GPU library. BSD-3 -- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 88 · 🔀 500 · 📥 3.4K · 📋 1.6K - 16% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/arrayfire/arrayfire) (👨‍💻 88 · 🔀 500 · 📥 3.5K · 📋 1.6K - 16% open · ⏱️ 16.03.2023): ``` git clone https://github.com/arrayfire/arrayfire @@ -7673,19 +7710,35 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (🥈30 · ⭐ 3.2K) - cuML - RAPIDS Machine Learning Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 160 · 🔀 440 · 📦 1 · 📋 2.2K - 32% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/rapidsai/cuml) (👨‍💻 160 · 🔀 440 · 📦 1 · 📋 2.2K - 32% open · ⏱️ 14.03.2023): ``` git clone https://github.com/rapidsai/cuml ``` -- [PyPi](https://pypi.org/project/cuml) (📥 1.5K / month · 📦 5 · ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cuml) (📥 1.6K / month · 📦 5 · ⏱️ 01.06.2020): ``` pip install cuml ```
+
optimum (🥈30 · ⭐ 980) - Accelerate training and inference of Transformers with easy to use.. Apache-2 + +- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 56 · 🔀 150 · 📦 100 · 📋 300 - 41% open · ⏱️ 16.03.2023): + + ``` + git clone https://github.com/huggingface/optimum + ``` +- [PyPi](https://pypi.org/project/optimum) (📥 72K / month · 📦 9 · ⏱️ 25.01.2023): + ``` + pip install optimum + ``` +- [Conda](https://anaconda.org/conda-forge/optimum) (📥 5.9K · ⏱️ 12.07.2022): + ``` + conda install -c conda-forge optimum + ``` +
Apex (🥈29 · ⭐ 7K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3 -- [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 110 · 🔀 1.2K · 📦 1.5K · 📋 1.1K - 55% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/NVIDIA/apex) (👨‍💻 110 · 🔀 1.2K · 📦 1.5K · 📋 1.1K - 56% open · ⏱️ 13.03.2023): ``` git clone https://github.com/NVIDIA/apex @@ -7695,9 +7748,9 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge nvidia-apex ```
-
gpustat (🥈29 · ⭐ 3.3K) - A simple command-line utility for querying and monitoring GPU status. MIT +
gpustat (🥈28 · ⭐ 3.3K) - A simple command-line utility for querying and monitoring GPU status. MIT -- [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 17 · 🔀 250 · 📦 3.1K · 📋 110 - 23% open · ⏱️ 05.03.2023): +- [GitHub](https://github.com/wookayin/gpustat) (👨‍💻 17 · 🔀 250 · 📦 3.1K · 📋 100 - 20% open · ⏱️ 05.03.2023): ``` git clone https://github.com/wookayin/gpustat @@ -7711,30 +7764,14 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c conda install -c conda-forge gpustat ```
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optimum (🥈29 · ⭐ 960) - Accelerate training and inference of Transformers with easy to use.. Apache-2 - -- [GitHub](https://github.com/huggingface/optimum) (👨‍💻 56 · 🔀 140 · 📦 95 · 📋 290 - 39% open · ⏱️ 08.03.2023): - - ``` - git clone https://github.com/huggingface/optimum - ``` -- [PyPi](https://pypi.org/project/optimum) (📥 66K / month · 📦 9 · ⏱️ 25.01.2023): - ``` - pip install optimum - ``` -- [Conda](https://anaconda.org/conda-forge/optimum) (📥 5.8K · ⏱️ 12.07.2022): - ``` - conda install -c conda-forge optimum - ``` -
cuGraph (🥉26 · ⭐ 1.2K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2 -- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 94 · 🔀 230 · 📦 2 · 📋 1.3K - 20% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/rapidsai/cugraph) (👨‍💻 94 · 🔀 230 · 📦 2 · 📋 1.3K - 21% open · ⏱️ 16.03.2023): ``` git clone https://github.com/rapidsai/cugraph ``` -- [PyPi](https://pypi.org/project/cugraph) (📥 140 / month · 📦 2 · ⏱️ 01.06.2020): +- [PyPi](https://pypi.org/project/cugraph) (📥 180 / month · 📦 2 · ⏱️ 01.06.2020): ``` pip install cugraph ``` @@ -7745,7 +7782,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (🥉25 · ⭐ 4.3K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2 -- [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 81 · 🔀 560 · 📋 1.4K - 18% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/NVIDIA/DALI) (👨‍💻 81 · 🔀 560 · 📋 1.4K - 18% open · ⏱️ 16.03.2023): ``` git clone https://github.com/NVIDIA/DALI @@ -7758,38 +7795,38 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c ``` git clone https://github.com/lebedov/scikit-cuda ``` -- [PyPi](https://pypi.org/project/scikit-cuda) (📥 780 / month · 📦 44 · ⏱️ 27.05.2019): +- [PyPi](https://pypi.org/project/scikit-cuda) (📥 890 / month · 📦 44 · ⏱️ 27.05.2019): ``` pip install scikit-cuda ```
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Merlin (🥉23 · ⭐ 470 · 📉) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +
Merlin (🥉24 · ⭐ 480) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 -- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨‍💻 27 · 🔀 71 · 📋 340 - 48% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (👨‍💻 27 · 🔀 73 · 📋 350 - 47% open · ⏱️ 07.03.2023): ``` git clone https://github.com/NVIDIA-Merlin/Merlin ``` -- [PyPi](https://pypi.org/project/merlin-core) (📥 13K / month · 📦 1 · ⏱️ 02.01.2023): +- [PyPi](https://pypi.org/project/merlin-core) (📥 14K / month · 📦 1 · ⏱️ 02.01.2023): ``` pip install merlin-core ```
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Vulkan Kompute (🥉20 · ⭐ 1.1K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 +
Vulkan Kompute (🥉21 · ⭐ 1.1K) - General purpose GPU compute framework built on Vulkan to.. Apache-2 -- [GitHub](https://github.com/KomputeProject/kompute) (👨‍💻 21 · 🔀 75 · 📥 230 · 📦 5 · 📋 190 - 32% open · ⏱️ 03.12.2022): +- [GitHub](https://github.com/KomputeProject/kompute) (👨‍💻 21 · 🔀 75 · 📥 230 · 📦 6 · 📋 190 - 32% open · ⏱️ 03.12.2022): ``` git clone https://github.com/KomputeProject/kompute ``` -- [PyPi](https://pypi.org/project/kp) (📥 130 / month · ⏱️ 13.04.2022): +- [PyPi](https://pypi.org/project/kp) (📥 140 / month · ⏱️ 13.04.2022): ``` pip install kp ```
cuSignal (🥉19 · ⭐ 660) - GPU accelerated signal processing. Apache-2 -- [GitHub](https://github.com/rapidsai/cusignal) (👨‍💻 44 · 🔀 100 · 📋 150 - 12% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/rapidsai/cusignal) (👨‍💻 44 · 🔀 110 · 📋 150 - 14% open · ⏱️ 06.03.2023): ``` git clone https://github.com/rapidsai/cusignal @@ -7800,9 +7837,9 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c - GPUtil (🥉22 · ⭐ 950 · 💀) - A Python module for getting the GPU status from NVIDA GPUs using.. MIT - BlazingSQL (🥉21 · ⭐ 1.8K · 💀) - BlazingSQL is a lightweight, GPU accelerated, SQL engine for.. Apache-2 - py3nvml (🥉21 · ⭐ 220 · 💤) - Python 3 Bindings for NVML library. Get NVIDIA GPU status inside.. BSD-3 -- nvidia-ml-py3 (🥉19 · ⭐ 96 · 💀) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 -- ipyexperiments (🥉16 · ⭐ 160 · 💀) - jupyter/ipython experiment containers for GPU and.. Apache-2 -- SpeedTorch (🥉15 · ⭐ 660 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT +- nvidia-ml-py3 (🥉19 · ⭐ 97 · 💀) - Python 3 Bindings for the NVIDIA Management Library. BSD-3 +- SpeedTorch (🥉16 · ⭐ 660 · 💀) - Library for faster pinned CPU - GPU transfer in Pytorch. MIT +- ipyexperiments (🥉15 · ⭐ 160 · 💀) - jupyter/ipython experiment containers for GPU and.. Apache-2

@@ -7814,7 +7851,7 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (🥇37 · ⭐ 3.8K) - TFDS is a collection of datasets ready to use with.. Apache-2 -- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 280 · 🔀 1.4K · 📋 1.3K - 50% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/tensorflow/datasets) (👨‍💻 280 · 🔀 1.4K · 📋 1.3K - 50% open · ⏱️ 16.03.2023): ``` git clone https://github.com/tensorflow/datasets @@ -7823,28 +7860,28 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` pip install tensorflow-datasets ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 14K · ⏱️ 27.02.2023): +- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (📥 15K · ⏱️ 27.02.2023): ``` conda install -c conda-forge tensorflow-datasets ```
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tensorflow-hub (🥇36 · ⭐ 3.3K) - A library for transfer learning by reusing parts of.. Apache-2 +
tensorflow-hub (🥇37 · ⭐ 3.3K) - A library for transfer learning by reusing parts of.. Apache-2 -- [GitHub](https://github.com/tensorflow/hub) (👨‍💻 100 · 🔀 1.7K · 📦 16K · 📋 670 - 0% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/tensorflow/hub) (👨‍💻 100 · 🔀 1.7K · 📦 16K · 📋 670 - 0% open · ⏱️ 16.03.2023): ``` git clone https://github.com/tensorflow/hub ``` -- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 4.7M / month · 📦 330 · ⏱️ 14.04.2021): +- [PyPi](https://pypi.org/project/tensorflow-hub) (📥 4.4M / month · 📦 330 · ⏱️ 14.04.2021): ``` pip install tensorflow-hub ``` -- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 77K · ⏱️ 18.04.2021): +- [Conda](https://anaconda.org/conda-forge/tensorflow-hub) (📥 77K · ⏱️ 15.03.2023): ``` conda install -c conda-forge tensorflow-hub ```
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TF Addons (🥇36 · ⭐ 1.6K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 +
TF Addons (🥈35 · ⭐ 1.6K) - Useful extra functionality for TensorFlow 2.x maintained by.. Apache-2 - [GitHub](https://github.com/tensorflow/addons) (👨‍💻 200 · 🔀 590 · 📦 11K · 📋 1.1K - 22% open · ⏱️ 01.03.2023): @@ -7868,50 +7905,50 @@ _Libraries that extend TensorFlow with additional capabilities._ pip install tensor2tensor ```
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TFX (🥈33 · ⭐ 1.9K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 +
TensorFlow Transform (🥈33 · ⭐ 950) - Input pipeline framework. Apache-2 -- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 170 · 🔀 630 · 📋 890 - 22% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 27 · 🔀 200 · 📦 1.2K · 📋 200 - 18% open · ⏱️ 13.03.2023): ``` - git clone https://github.com/tensorflow/tfx + git clone https://github.com/tensorflow/transform ``` -- [PyPi](https://pypi.org/project/tfx) (📥 570K / month · 📦 13 · ⏱️ 19.12.2022): +- [PyPi](https://pypi.org/project/tensorflow-transform) (📥 3.6M / month · 📦 56 · ⏱️ 08.12.2022): ``` - pip install tfx + pip install tensorflow-transform ```
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TensorFlow Transform (🥈33 · ⭐ 950) - Input pipeline framework. Apache-2 +
TFX (🥈32 · ⭐ 1.9K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2 -- [GitHub](https://github.com/tensorflow/transform) (👨‍💻 27 · 🔀 200 · 📦 1.2K · 📋 200 - 18% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/tensorflow/tfx) (👨‍💻 170 · 🔀 630 · 📋 900 - 22% open · ⏱️ 16.03.2023): ``` - git clone https://github.com/tensorflow/transform + git clone https://github.com/tensorflow/tfx ``` -- [PyPi](https://pypi.org/project/tensorflow-transform) (📥 3.9M / month · 📦 56 · ⏱️ 08.12.2022): +- [PyPi](https://pypi.org/project/tfx) (📥 400K / month · 📦 13 · ⏱️ 19.12.2022): ``` - pip install tensorflow-transform + pip install tfx ```
TF Model Optimization (🥈30 · ⭐ 1.4K) - A toolkit to optimize ML models for deployment for.. Apache-2 -- [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 76 · 🔀 310 · 📦 2.6K · 📋 340 - 54% open · ⏱️ 01.03.2023): +- [GitHub](https://github.com/tensorflow/model-optimization) (👨‍💻 77 · 🔀 310 · 📦 2.6K · 📋 340 - 54% open · ⏱️ 16.03.2023): ``` git clone https://github.com/tensorflow/model-optimization ``` -- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 210K / month · 📦 28 · ⏱️ 21.07.2022): +- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (📥 230K / month · 📦 29 · ⏱️ 21.07.2022): ``` pip install tensorflow-model-optimization ```
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TensorFlow I/O (🥉29 · ⭐ 620) - Dataset, streaming, and file system extensions.. Apache-2 +
TensorFlow I/O (🥉29 · ⭐ 630) - Dataset, streaming, and file system extensions.. Apache-2 -- [GitHub](https://github.com/tensorflow/io) (👨‍💻 97 · 🔀 260 · 📋 590 - 40% open · ⏱️ 22.02.2023): +- [GitHub](https://github.com/tensorflow/io) (👨‍💻 98 · 🔀 260 · 📋 590 - 40% open · ⏱️ 14.03.2023): ``` git clone https://github.com/tensorflow/io ``` -- [PyPi](https://pypi.org/project/tensorflow-io) (📥 1.4M / month · 📦 31 · ⏱️ 21.01.2023): +- [PyPi](https://pypi.org/project/tensorflow-io) (📥 1.4M / month · 📦 32 · ⏱️ 21.01.2023): ``` pip install tensorflow-io ``` @@ -7923,7 +7960,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/neural-structured-learning ``` -- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 19K / month · 📦 3 · ⏱️ 29.07.2022): +- [PyPi](https://pypi.org/project/neural-structured-learning) (📥 20K / month · 📦 3 · ⏱️ 29.07.2022): ``` pip install neural-structured-learning ``` @@ -7935,7 +7972,7 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/tensorflow/cloud ``` -- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 95K / month · 📦 1 · ⏱️ 17.06.2021): +- [PyPi](https://pypi.org/project/tensorflow-cloud) (📥 96K / month · 📦 1 · ⏱️ 17.06.2021): ``` pip install tensorflow-cloud ``` @@ -7947,19 +7984,19 @@ _Libraries that extend TensorFlow with additional capabilities._ ``` git clone https://github.com/PAIR-code/saliency ``` -- [PyPi](https://pypi.org/project/saliency) (📥 4.1K / month · 📦 3 · ⏱️ 14.06.2022): +- [PyPi](https://pypi.org/project/saliency) (📥 4.2K / month · 📦 3 · ⏱️ 14.06.2022): ``` pip install saliency ```
TF Compression (🥉21 · ⭐ 720) - Data compression in TensorFlow. Apache-2 -- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 20 · 🔀 230 · 📋 95 - 5% open · ⏱️ 15.02.2023): +- [GitHub](https://github.com/tensorflow/compression) (👨‍💻 20 · 🔀 230 · 📋 95 - 5% open · ⏱️ 16.03.2023): ``` git clone https://github.com/tensorflow/compression ``` -- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 5.7K / month · 📦 2 · ⏱️ 23.11.2022): +- [PyPi](https://pypi.org/project/tensorflow-compression) (📥 6K / month · 📦 2 · ⏱️ 23.11.2022): ``` pip install tensorflow-compression ``` @@ -7967,9 +8004,9 @@ _Libraries that extend TensorFlow with additional capabilities._
Show 4 hidden projects... - Keras-Preprocessing (🥉29 · ⭐ 1K · 💀) - Utilities for working with image data, text data, and.. MIT -- efficientnet (🥉25 · ⭐ 2K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2 -- TensorNets (🥉20 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. MIT -- tffm (🥉20 · ⭐ 780 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT +- efficientnet (🥉26 · ⭐ 2K · 💀) - Implementation of EfficientNet model. Keras and.. Apache-2 +- TensorNets (🥉21 · ⭐ 1K · 💀) - High level network definitions with pre-trained weights in.. MIT +- tffm (🥉20 · ⭐ 790 · 💀) - TensorFlow implementation of an arbitrary order Factorization Machine. MIT

@@ -7981,24 +8018,24 @@ _Libraries that extend Jax with additional capabilities._
equinox (🥇25 · ⭐ 1K) - Elegant easy-to-use neural networks in JAX... Apache-2 -- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 18 · 🔀 57 · 📦 100 · 📋 140 - 22% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/patrick-kidger/equinox) (👨‍💻 20 · 🔀 58 · 📦 100 · 📋 150 - 21% open · ⏱️ 12.03.2023): ``` git clone https://github.com/patrick-kidger/equinox ``` -- [PyPi](https://pypi.org/project/equinox) (📥 10K / month · 📦 11 · ⏱️ 17.11.2022): +- [PyPi](https://pypi.org/project/equinox) (📥 11K / month · 📦 11 · ⏱️ 17.11.2022): ``` pip install equinox ```
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evojax (🥉21 · ⭐ 630) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 +
evojax (🥉21 · ⭐ 640) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2 - [GitHub](https://github.com/google/evojax) (👨‍💻 13 · 🔀 51 · 📦 3 · 📋 25 - 40% open · ⏱️ 20.02.2023): ``` git clone https://github.com/google/evojax ``` -- [PyPi](https://pypi.org/project/evojax) (📥 820 / month · 📦 1 · ⏱️ 05.10.2022): +- [PyPi](https://pypi.org/project/evojax) (📥 750 / month · 📦 1 · ⏱️ 05.10.2022): ``` pip install evojax ``` @@ -8009,7 +8046,7 @@ _Libraries that extend Jax with additional capabilities._
Show 1 hidden projects... -- jaxdf (🥉13 · ⭐ 66) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0 +- jaxdf (🥉13 · ⭐ 68) - A JAX-based research framework for writing differentiable.. ❗️LGPL-3.0

@@ -8019,9 +8056,25 @@ _Libraries that extend Jax with additional capabilities._ _Libraries that extend scikit-learn with additional capabilities._ -
imbalanced-learn (🥇34 · ⭐ 6.3K · 📉) - A Python Package to Tackle the Curse of Imbalanced.. MIT +
category_encoders (🥇35 · ⭐ 2.2K) - A library of sklearn compatible categorical variable.. BSD-3 -- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 71 · 🔀 1.2K · 📦 15K · 📋 540 - 9% open · ⏱️ 28.12.2022): +- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 61 · 🔀 380 · 📦 4.8K · 📋 260 - 15% open · ⏱️ 13.03.2023): + + ``` + git clone https://github.com/scikit-learn-contrib/category_encoders + ``` +- [PyPi](https://pypi.org/project/category_encoders) (📥 1.1M / month · 📦 140 · ⏱️ 14.01.2023): + ``` + pip install category_encoders + ``` +- [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 210K · ⏱️ 17.01.2023): + ``` + conda install -c conda-forge category_encoders + ``` +
+
imbalanced-learn (🥇34 · ⭐ 6.3K) - A Python Package to Tackle the Curse of Imbalanced.. MIT + +- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (👨‍💻 71 · 🔀 1.2K · 📦 16K · 📋 550 - 9% open · ⏱️ 28.12.2022): ``` git clone https://github.com/scikit-learn-contrib/imbalanced-learn @@ -8030,12 +8083,12 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` pip install imbalanced-learn ``` -- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 340K · ⏱️ 28.12.2022): +- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (📥 350K · ⏱️ 28.12.2022): ``` conda install -c conda-forge imbalanced-learn ```
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MLxtend (🥇34 · ⭐ 4.3K) - A library of extension and helper modules for Pythons data.. BSD-3 +
MLxtend (🥈33 · ⭐ 4.3K) - A library of extension and helper modules for Pythons data.. BSD-3 - [GitHub](https://github.com/rasbt/mlxtend) (👨‍💻 93 · 🔀 810 · 📦 8.4K · 📋 460 - 28% open · ⏱️ 26.02.2023): @@ -8051,30 +8104,14 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge mlxtend ```
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category_encoders (🥇34 · ⭐ 2.2K) - A library of sklearn compatible categorical variable.. BSD-3 - -- [GitHub](https://github.com/scikit-learn-contrib/category_encoders) (👨‍💻 60 · 🔀 380 · 📦 4.8K · 📋 260 - 15% open · ⏱️ 24.01.2023): - - ``` - git clone https://github.com/scikit-learn-contrib/category_encoders - ``` -- [PyPi](https://pypi.org/project/category_encoders) (📥 1.1M / month · 📦 140 · ⏱️ 14.01.2023): - ``` - pip install category_encoders - ``` -- [Conda](https://anaconda.org/conda-forge/category_encoders) (📥 210K · ⏱️ 17.01.2023): - ``` - conda install -c conda-forge category_encoders - ``` -
-
scikit-learn-intelex (🥈32 · ⭐ 900) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 +
scikit-learn-intelex (🥈32 · ⭐ 910) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2 -- [GitHub](https://github.com/intel/scikit-learn-intelex) (👨‍💻 66 · 🔀 150 · 📦 5K · 📋 200 - 38% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/intel/scikit-learn-intelex) (👨‍💻 67 · 🔀 150 · 📦 5.1K · 📋 200 - 38% open · ⏱️ 16.03.2023): ``` git clone https://github.com/intel/scikit-learn-intelex ``` -- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 150K / month · 📦 13 · ⏱️ 23.01.2023): +- [PyPi](https://pypi.org/project/scikit-learn-intelex) (📥 140K / month · 📦 13 · ⏱️ 23.01.2023): ``` pip install scikit-learn-intelex ``` @@ -8083,14 +8120,14 @@ _Libraries that extend scikit-learn with additional capabilities._ conda install -c conda-forge scikit-learn-intelex ```
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scikit-multilearn (🥈28 · ⭐ 820) - A scikit-learn based module for multi-label et. al... BSD-2 +
scikit-multilearn (🥈30 · ⭐ 820 · 📈) - A scikit-learn based module for multi-label et. al... BSD-2 -- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (👨‍💻 21 · 🔀 160 · 📦 1K · 📋 210 - 51% open · ⏱️ 03.03.2023): +- [GitHub](https://github.com/scikit-multilearn/scikit-multilearn) (👨‍💻 28 · 🔀 160 · 📦 1K · 📋 210 - 41% open · ⏱️ 14.03.2023): ``` git clone https://github.com/scikit-multilearn/scikit-multilearn ``` -- [PyPi](https://pypi.org/project/scikit-multilearn) (📥 93K / month · 📦 18 · ⏱️ 10.12.2018): +- [PyPi](https://pypi.org/project/scikit-multilearn) (📥 89K / month · 📦 18 · ⏱️ 10.12.2018): ``` pip install scikit-multilearn ``` @@ -8102,7 +8139,7 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/koaning/scikit-lego ``` -- [PyPi](https://pypi.org/project/scikit-lego) (📥 23K / month · 📦 7 · ⏱️ 02.11.2022): +- [PyPi](https://pypi.org/project/scikit-lego) (📥 26K / month · 📦 7 · ⏱️ 02.11.2022): ``` pip install scikit-lego ``` @@ -8118,19 +8155,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/guofei9987/scikit-opt ``` -- [PyPi](https://pypi.org/project/scikit-opt) (📥 2.7K / month · 📦 6 · ⏱️ 14.01.2022): +- [PyPi](https://pypi.org/project/scikit-opt) (📥 2.6K / month · 📦 6 · ⏱️ 14.01.2022): ``` pip install scikit-opt ```
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iterative-stratification (🥉22 · ⭐ 750 · 💤) - scikit-learn cross validators for iterative.. BSD-3 +
iterative-stratification (🥉22 · ⭐ 760 · 💤) - scikit-learn cross validators for iterative.. BSD-3 - [GitHub](https://github.com/trent-b/iterative-stratification) (👨‍💻 7 · 🔀 69 · 📦 290 · 📋 26 - 15% open · ⏱️ 06.06.2022): ``` git clone https://github.com/trent-b/iterative-stratification ``` -- [PyPi](https://pypi.org/project/iterative-stratification) (📥 67K / month · 📦 10 · ⏱️ 03.10.2021): +- [PyPi](https://pypi.org/project/iterative-stratification) (📥 72K / month · 📦 10 · ⏱️ 03.10.2021): ``` pip install iterative-stratification ``` @@ -8142,19 +8179,19 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/yzhao062/combo ``` -- [PyPi](https://pypi.org/project/combo) (📥 41K / month · 📦 4 · ⏱️ 02.04.2022): +- [PyPi](https://pypi.org/project/combo) (📥 46K / month · 📦 4 · ⏱️ 02.04.2022): ``` pip install combo ```
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DESlib (🥉20 · ⭐ 430) - A Python library for dynamic classifier and ensemble selection. BSD-3 +
DESlib (🥉19 · ⭐ 430) - A Python library for dynamic classifier and ensemble selection. BSD-3 - [GitHub](https://github.com/scikit-learn-contrib/DESlib) (👨‍💻 15 · 🔀 73 · 📦 36 · 📋 150 - 9% open · ⏱️ 27.02.2023): ``` git clone https://github.com/scikit-learn-contrib/DESlib ``` -- [PyPi](https://pypi.org/project/deslib) (📥 9.5K / month · 📦 2 · ⏱️ 08.02.2021): +- [PyPi](https://pypi.org/project/deslib) (📥 6.9K / month · 📦 2 · ⏱️ 08.02.2021): ``` pip install deslib ``` @@ -8166,20 +8203,20 @@ _Libraries that extend scikit-learn with additional capabilities._ ``` git clone https://github.com/scikit-tda/scikit-tda ``` -- [PyPi](https://pypi.org/project/scikit-tda) (📥 5.2K / month · ⏱️ 03.08.2021): +- [PyPi](https://pypi.org/project/scikit-tda) (📥 4.8K / month · ⏱️ 03.08.2021): ``` pip install scikit-tda ```
Show 8 hidden projects... -- scikit-survival (🥈29 · ⭐ 910) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 +- scikit-survival (🥈29 · ⭐ 900) - Survival analysis built on top of scikit-learn. ❗️GPL-3.0 - fancyimpute (🥈26 · ⭐ 1.1K · 💀) - Multivariate imputation and matrix completion.. Apache-2 - sklearn-crfsuite (🥈26 · ⭐ 420 · 💀) - scikit-learn inspired API for CRFsuite. MIT - sklearn-contrib-lightning (🥉22 · ⭐ 1.6K · 💀) - Large-scale linear classification, regression and.. BSD-3 - skope-rules (🥉22 · ⭐ 520) - machine learning with logical rules in Python. ❗️BSD-1-Clause - celer (🥉18 · ⭐ 170) - Fast solver for L1-type problems: Lasso, sparse Logisitic regression,.. BSD-3 -- skggm (🥉17 · ⭐ 210 · 💤) - Scikit-learn compatible estimation of general graphical models. MIT +- skggm (🥉17 · ⭐ 220 · 💤) - Scikit-learn compatible estimation of general graphical models. MIT - dabl (🥉17 · ⭐ 120) - Data Analysis Baseline Library. BSD-3

@@ -8190,25 +8227,25 @@ _Libraries that extend scikit-learn with additional capabilities._ _Libraries that extend Pytorch with additional capabilities._ -
accelerate (🥇34 · ⭐ 3.8K) - A simple way to train and use PyTorch models with multi-.. Apache-2 +
accelerate (🥇34 · ⭐ 3.9K) - A simple way to train and use PyTorch models with multi-.. Apache-2 -- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 100 · 🔀 340 · 📦 3.5K · 📋 570 - 12% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/huggingface/accelerate) (👨‍💻 100 · 🔀 360 · 📦 3.7K · 📋 580 - 11% open · ⏱️ 15.03.2023): ``` git clone https://github.com/huggingface/accelerate ``` -- [PyPi](https://pypi.org/project/accelerate) (📥 2.6M / month · 📦 93 · ⏱️ 31.01.2023): +- [PyPi](https://pypi.org/project/accelerate) (📥 2.9M / month · 📦 97 · ⏱️ 31.01.2023): ``` pip install accelerate ``` -- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 21K · ⏱️ 01.02.2023): +- [Conda](https://anaconda.org/conda-forge/accelerate) (📥 22K · ⏱️ 11.03.2023): ``` conda install -c conda-forge accelerate ```
PML (🥇32 · ⭐ 5.1K) - The easiest way to use deep metric learning in your application. Modular,.. MIT -- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 31 · 🔀 610 · 📦 530 · 📋 430 - 9% open · ⏱️ 21.02.2023): +- [GitHub](https://github.com/KevinMusgrave/pytorch-metric-learning) (👨‍💻 31 · 🔀 610 · 📦 540 · 📋 430 - 9% open · ⏱️ 21.02.2023): ``` git clone https://github.com/KevinMusgrave/pytorch-metric-learning @@ -8217,30 +8254,30 @@ _Libraries that extend Pytorch with additional capabilities._ ``` pip install pytorch-metric-learning ``` -- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 9.7K · ⏱️ 01.11.2022): +- [Conda](https://anaconda.org/metric-learning/pytorch-metric-learning) (📥 9.8K · ⏱️ 01.11.2022): ``` conda install -c metric-learning pytorch-metric-learning ```
torchdiffeq (🥇30 · ⭐ 4.5K) - Differentiable ODE solvers with full GPU support and.. MIT -- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 21 · 🔀 820 · 📦 950 · 📋 190 - 26% open · ⏱️ 19.02.2023): +- [GitHub](https://github.com/rtqichen/torchdiffeq) (👨‍💻 21 · 🔀 820 · 📦 970 · 📋 190 - 26% open · ⏱️ 19.02.2023): ``` git clone https://github.com/rtqichen/torchdiffeq ``` -- [PyPi](https://pypi.org/project/torchdiffeq) (📥 1.3M / month · 📦 33 · ⏱️ 22.04.2022): +- [PyPi](https://pypi.org/project/torchdiffeq) (📥 1.6M / month · 📦 33 · ⏱️ 22.04.2022): ``` pip install torchdiffeq ``` -- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 9.9K · ⏱️ 03.06.2021): +- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (📥 10K · ⏱️ 03.06.2021): ``` conda install -c conda-forge torchdiffeq ```
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tinygrad (🥈28 · ⭐ 11K · 📈) - You like pytorch? You like micrograd? You love tinygrad!. MIT +
tinygrad (🥈29 · ⭐ 11K) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- [GitHub](https://github.com/geohot/tinygrad) (👨‍💻 95 · 🔀 930 · 📦 9 · 📋 170 - 13% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/geohot/tinygrad) (👨‍💻 97 · 🔀 970 · 📦 10 · 📋 190 - 17% open · ⏱️ 16.03.2023): ``` git clone https://github.com/geohot/tinygrad @@ -8248,12 +8285,12 @@ _Libraries that extend Pytorch with additional capabilities._
lightning-flash (🥈28 · ⭐ 1.6K) - Your PyTorch AI Factory - Flash enables you to easily.. Apache-2 -- [GitHub](https://github.com/Lightning-AI/lightning-flash) (👨‍💻 84 · 🔀 190 · 📦 200 · 📋 520 - 6% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/Lightning-AI/lightning-flash) (👨‍💻 84 · 🔀 190 · 📦 210 · 📋 520 - 6% open · ⏱️ 07.03.2023): ``` git clone https://github.com/Lightning-AI/lightning-flash ``` -- [PyPi](https://pypi.org/project/lightning-flash) (📥 2.6K / month · 📦 4 · ⏱️ 05.01.2023): +- [PyPi](https://pypi.org/project/lightning-flash) (📥 2.4K / month · 📦 4 · ⏱️ 05.01.2023): ``` pip install lightning-flash ``` @@ -8262,30 +8299,30 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge lightning-flash ```
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torch-scatter (🥈25 · ⭐ 1.2K) - PyTorch Extension Library of Optimized Scatter Operations. MIT +
torch-scatter (🥈26 · ⭐ 1.2K) - PyTorch Extension Library of Optimized Scatter Operations. MIT -- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 25 · 🔀 140 · 📋 300 - 5% open · ⏱️ 11.01.2023): +- [GitHub](https://github.com/rusty1s/pytorch_scatter) (👨‍💻 25 · 🔀 150 · 📋 300 - 5% open · ⏱️ 16.03.2023): ``` git clone https://github.com/rusty1s/pytorch_scatter ``` -- [PyPi](https://pypi.org/project/torch-scatter) (📥 46K / month · 📦 54 · ⏱️ 24.11.2022): +- [PyPi](https://pypi.org/project/torch-scatter) (📥 47K / month · 📦 63 · ⏱️ 24.11.2022): ``` pip install torch-scatter ``` -- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 150K · ⏱️ 02.01.2023): +- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (📥 160K · ⏱️ 02.01.2023): ``` conda install -c conda-forge pytorch_scatter ```
PyTorch Sparse (🥈25 · ⭐ 790) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT -- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 38 · 🔀 130 · 📋 230 - 12% open · ⏱️ 10.02.2023): +- [GitHub](https://github.com/rusty1s/pytorch_sparse) (👨‍💻 39 · 🔀 130 · 📋 230 - 12% open · ⏱️ 15.03.2023): ``` git clone https://github.com/rusty1s/pytorch_sparse ``` -- [PyPi](https://pypi.org/project/torch-sparse) (📥 32K / month · 📦 48 · ⏱️ 22.12.2022): +- [PyPi](https://pypi.org/project/torch-sparse) (📥 33K / month · 📦 48 · ⏱️ 22.12.2022): ``` pip install torch-sparse ``` @@ -8306,7 +8343,7 @@ _Libraries that extend Pytorch with additional capabilities._ pip install pytorch_toolbelt ```
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TabNet (🥉22 · ⭐ 2K) - PyTorch implementation of TabNet paper :.. MIT +
TabNet (🥉23 · ⭐ 2K) - PyTorch implementation of TabNet paper :.. MIT - [GitHub](https://github.com/dreamquark-ai/tabnet) (👨‍💻 19 · 🔀 400 · 📋 280 - 15% open · ⏱️ 12.12.2022): @@ -8322,14 +8359,14 @@ _Libraries that extend Pytorch with additional capabilities._ conda install -c conda-forge pytorch-tabnet ```
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reformer-pytorch (🥉20 · ⭐ 1.8K · 💤) - Reformer, the efficient Transformer, in Pytorch. MIT +
reformer-pytorch (🥉20 · ⭐ 1.9K · 💤) - Reformer, the efficient Transformer, in Pytorch. MIT - [GitHub](https://github.com/lucidrains/reformer-pytorch) (👨‍💻 11 · 🔀 250 · 📋 120 - 11% open · ⏱️ 24.06.2022): ``` git clone https://github.com/lucidrains/reformer-pytorch ``` -- [PyPi](https://pypi.org/project/reformer-pytorch) (📥 1.7K / month · ⏱️ 06.11.2021): +- [PyPi](https://pypi.org/project/reformer-pytorch) (📥 1.9K / month · ⏱️ 06.11.2021): ``` pip install reformer-pytorch ``` @@ -8341,35 +8378,35 @@ _Libraries that extend Pytorch with additional capabilities._ ``` git clone https://github.com/abhishekkrthakur/tez ``` -- [PyPi](https://pypi.org/project/tez) (📥 640 / month · 📦 2 · ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/tez) (📥 900 / month · 📦 2 · ⏱️ 20.09.2022): ``` pip install tez ```
Tensor Sensor (🥉17 · ⭐ 720 · 💤) - The goal of this library is to generate more helpful.. MIT -- [GitHub](https://github.com/parrt/tensor-sensor) (👨‍💻 4 · 🔀 37 · 📦 15 · 📋 24 - 33% open · ⏱️ 07.04.2022): +- [GitHub](https://github.com/parrt/tensor-sensor) (👨‍💻 4 · 🔀 37 · 📦 16 · 📋 24 - 33% open · ⏱️ 07.04.2022): ``` git clone https://github.com/parrt/tensor-sensor ``` -- [PyPi](https://pypi.org/project/tensor-sensor) (📥 2.3K / month · ⏱️ 11.12.2021): +- [PyPi](https://pypi.org/project/tensor-sensor) (📥 2.5K / month · ⏱️ 11.12.2021): ``` pip install tensor-sensor ``` -- [Conda](https://anaconda.org/conda-forge/tensor-sensor) (📥 1.8K · ⏱️ 11.12.2021): +- [Conda](https://anaconda.org/conda-forge/tensor-sensor) (📥 1.9K · ⏱️ 11.12.2021): ``` conda install -c conda-forge tensor-sensor ```
madgrad (🥉16 · ⭐ 780 · 💤) - MADGRAD Optimization Method. MIT -- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 2 · 🔀 55 · 📦 48 · 📋 9 - 22% open · ⏱️ 10.03.2022): +- [GitHub](https://github.com/facebookresearch/madgrad) (👨‍💻 2 · 🔀 55 · 📦 49 · 📋 9 - 22% open · ⏱️ 10.03.2022): ``` git clone https://github.com/facebookresearch/madgrad ``` -- [PyPi](https://pypi.org/project/madgrad) (📥 4.2K / month · ⏱️ 08.03.2022): +- [PyPi](https://pypi.org/project/madgrad) (📥 4K / month · ⏱️ 08.03.2022): ``` pip install madgrad ``` @@ -8382,10 +8419,10 @@ _Libraries that extend Pytorch with additional capabilities._ - EfficientNet-PyTorch (🥈26 · ⭐ 7.3K · 💀) - A PyTorch implementation of EfficientNet and.. Apache-2 - torchsde (🥈26 · ⭐ 1.2K · 💀) - Differentiable SDE solvers with GPU support and efficient.. Apache-2 - SRU (🥉23 · ⭐ 2.1K · 💀) - Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755). MIT -- Torchmeta (🥉23 · ⭐ 1.8K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT - Higher (🥉23 · ⭐ 1.5K · 💀) - higher is a pytorch library allowing users to obtain higher.. Apache-2 - EfficientNets (🥉22 · ⭐ 1.5K · 💀) - Pretrained EfficientNet, EfficientNet-Lite, MixNet,.. Apache-2 - AdaBound (🥉20 · ⭐ 2.9K · 💀) - An optimizer that trains as fast as Adam and as good as SGD. Apache-2 +- Torchmeta (🥉20 · ⭐ 1.8K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT - Antialiased CNNs (🥉20 · ⭐ 1.6K · 💀) - pip install antialiased-cnns to improve stability and.. ❗️CC BY-NC-SA 4.0 - Performer Pytorch (🥉20 · ⭐ 920 · 💀) - An implementation of Performer, a linear attention-.. MIT - micrograd (🥉19 · ⭐ 4.3K · 💀) - A tiny scalar-valued autograd engine and a neural net library.. MIT @@ -8394,7 +8431,7 @@ _Libraries that extend Pytorch with additional capabilities._ - Torch-Struct (🥉19 · ⭐ 1.1K · 💀) - Fast, general, and tested differentiable structured.. MIT - Poutyne (🥉19 · ⭐ 540) - A simplified framework and utilities for PyTorch. ❗️LGPL-3.0 - Pywick (🥉15 · ⭐ 380 · 💀) - High-level batteries-included neural network training library for.. MIT -- TorchDrift (🥉14 · ⭐ 270 · 💤) - Drift Detection for your PyTorch Models. Apache-2 +- TorchDrift (🥉14 · ⭐ 280 · 💤) - Drift Detection for your PyTorch Models. Apache-2

@@ -8414,12 +8451,12 @@ _Libraries for connecting to, operating, and querying databases._
scipy (🥇49 · ⭐ 11K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3 -- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.4K · 🔀 4.6K · 📥 370K · 📦 680K · 📋 9.2K - 18% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/scipy/scipy) (👨‍💻 1.4K · 🔀 4.6K · 📥 370K · 📦 690K · 📋 9.2K - 18% open · ⏱️ 16.03.2023): ``` git clone https://github.com/scipy/scipy ``` -- [PyPi](https://pypi.org/project/scipy) (📥 53M / month · 📦 61K · ⏱️ 03.01.2023): +- [PyPi](https://pypi.org/project/scipy) (📥 54M / month · 📦 62K · ⏱️ 03.01.2023): ``` pip install scipy ``` @@ -8430,12 +8467,12 @@ _Libraries for connecting to, operating, and querying databases._
SymPy (🥇46 · ⭐ 10K) - A computer algebra system written in pure Python. BSD-3 -- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.2K · 🔀 3.9K · 📥 490K · 📦 55K · 📋 13K - 36% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/sympy/sympy) (👨‍💻 1.2K · 🔀 3.9K · 📥 490K · 📦 55K · 📋 13K - 35% open · ⏱️ 15.03.2023): ``` git clone https://github.com/sympy/sympy ``` -- [PyPi](https://pypi.org/project/sympy) (📥 3M / month · 📦 4.4K · ⏱️ 30.08.2022): +- [PyPi](https://pypi.org/project/sympy) (📥 3.1M / month · 📦 4.5K · ⏱️ 30.08.2022): ``` pip install sympy ``` @@ -8444,38 +8481,38 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge sympy ```
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Streamlit (🥇40 · ⭐ 23K) - Streamlit The fastest way to build data apps in Python. Apache-2 +
Streamlit (🥇41 · ⭐ 23K · 📈) - Streamlit The fastest way to build data apps in Python. Apache-2 -- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 170 · 🔀 2K · 📦 620 · 📋 3.1K - 19% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/streamlit/streamlit) (👨‍💻 170 · 🔀 2.1K · 📦 630 · 📋 3.2K - 19% open · ⏱️ 16.03.2023): ``` git clone https://github.com/streamlit/streamlit ``` -- [PyPi](https://pypi.org/project/streamlit) (📥 1.4M / month · 📦 680 · ⏱️ 12.01.2023): +- [PyPi](https://pypi.org/project/streamlit) (📥 1.4M / month · 📦 690 · ⏱️ 12.01.2023): ``` pip install streamlit ```
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Gradio (🥇38 · ⭐ 14K) - Wrap UIs around any model, share with anyone. Apache-2 +
Gradio (🥇39 · ⭐ 14K) - Wrap UIs around any model, share with anyone. Apache-2 -- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 140 · 🔀 880 · 📦 3.7K · 📋 1.7K - 14% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/gradio-app/gradio) (👨‍💻 140 · 🔀 910 · 📦 4K · 📋 1.7K - 13% open · ⏱️ 15.03.2023): ``` git clone https://github.com/gradio-app/gradio ``` -- [PyPi](https://pypi.org/project/gradio) (📥 2.2M / month · 📦 66 · ⏱️ 20.02.2023): +- [PyPi](https://pypi.org/project/gradio) (📥 2.4M / month · 📦 72 · ⏱️ 20.02.2023): ``` pip install gradio ```
carla (🥇36 · ⭐ 8.9K) - Open-source simulator for autonomous driving research. MIT -- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 150 · 🔀 2.7K · 📦 380 · 📋 4.3K - 19% open · ⏱️ 24.01.2023): +- [GitHub](https://github.com/carla-simulator/carla) (👨‍💻 150 · 🔀 2.8K · 📦 380 · 📋 4.3K - 20% open · ⏱️ 24.01.2023): ``` git clone https://github.com/carla-simulator/carla ``` -- [PyPi](https://pypi.org/project/carla) (📥 21K / month · 📦 3 · ⏱️ 24.12.2022): +- [PyPi](https://pypi.org/project/carla) (📥 20K / month · 📦 5 · ⏱️ 24.12.2022): ``` pip install carla ``` @@ -8498,56 +8535,56 @@ _Libraries for connecting to, operating, and querying databases._
DeepChem (🥇35 · ⭐ 4.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT -- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 210 · 🔀 1.5K · 📦 170 · 📋 1.6K - 34% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/deepchem/deepchem) (👨‍💻 210 · 🔀 1.5K · 📦 170 · 📋 1.6K - 34% open · ⏱️ 15.03.2023): ``` git clone https://github.com/deepchem/deepchem ``` -- [PyPi](https://pypi.org/project/deepchem) (📥 12K / month · 📦 8 · ⏱️ 06.07.2022): +- [PyPi](https://pypi.org/project/deepchem) (📥 13K / month · 📦 8 · ⏱️ 06.07.2022): ``` pip install deepchem ``` -- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 89K · ⏱️ 02.12.2022): +- [Conda](https://anaconda.org/conda-forge/deepchem) (📥 90K · ⏱️ 02.12.2022): ``` conda install -c conda-forge deepchem ```
PaddleHub (🥈34 · ⭐ 11K) - Awesome pre-trained models toolkit based on PaddlePaddle... Apache-2 -- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (👨‍💻 68 · 🔀 2K · 📥 590 · 📦 1.2K · 📋 1.2K - 43% open · ⏱️ 20.02.2023): +- [GitHub](https://github.com/PaddlePaddle/PaddleHub) (👨‍💻 68 · 🔀 2K · 📥 600 · 📦 1.2K · 📋 1.2K - 43% open · ⏱️ 20.02.2023): ``` git clone https://github.com/PaddlePaddle/PaddleHub ``` -- [PyPi](https://pypi.org/project/paddlehub) (📥 7K / month · 📦 6 · ⏱️ 28.11.2022): +- [PyPi](https://pypi.org/project/paddlehub) (📥 7.2K / month · 📦 6 · ⏱️ 28.11.2022): ``` pip install paddlehub ```
Datasette (🥈34 · ⭐ 7.2K) - An open source multi-tool for exploring and publishing data. Apache-2 -- [GitHub](https://github.com/simonw/datasette) (👨‍💻 74 · 🔀 500 · 📥 42 · 📦 920 · 📋 1.6K - 30% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/simonw/datasette) (👨‍💻 74 · 🔀 510 · 📥 42 · 📦 930 · 📋 1.6K - 30% open · ⏱️ 08.03.2023): ``` git clone https://github.com/simonw/datasette ``` -- [PyPi](https://pypi.org/project/datasette) (📥 39K / month · 📦 200 · ⏱️ 11.01.2023): +- [PyPi](https://pypi.org/project/datasette) (📥 42K / month · 📦 200 · ⏱️ 11.01.2023): ``` pip install datasette ``` -- [Conda](https://anaconda.org/conda-forge/datasette) (📥 16K · ⏱️ 12.01.2023): +- [Conda](https://anaconda.org/conda-forge/datasette) (📥 17K · ⏱️ 11.03.2023): ``` conda install -c conda-forge datasette ```
agate (🥈34 · ⭐ 1.1K) - A Python data analysis library that is optimized for humans instead of.. MIT -- [GitHub](https://github.com/wireservice/agate) (👨‍💻 51 · 🔀 150 · 📦 1.5K · 📋 650 - 2% open · ⏱️ 12.01.2023): +- [GitHub](https://github.com/wireservice/agate) (👨‍💻 51 · 🔀 150 · 📦 1.6K · 📋 650 - 2% open · ⏱️ 12.01.2023): ``` git clone https://github.com/wireservice/agate ``` -- [PyPi](https://pypi.org/project/agate) (📥 2.6M / month · 📦 140 · ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/agate) (📥 2.5M / month · 📦 140 · ⏱️ 04.01.2023): ``` pip install agate ``` @@ -8563,7 +8600,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/HIPS/autograd ``` -- [PyPi](https://pypi.org/project/autograd) (📥 1.2M / month · 📦 290 · ⏱️ 29.09.2022): +- [PyPi](https://pypi.org/project/autograd) (📥 1.2M / month · 📦 300 · ⏱️ 29.09.2022): ``` pip install autograd ``` @@ -8574,19 +8611,19 @@ _Libraries for connecting to, operating, and querying databases._
adapter-transformers (🥈33 · ⭐ 1.3K) - Huggingface Transformers + Adapters =. Apache-2 huggingface -- [GitHub](https://github.com/adapter-hub/adapter-transformers) (👨‍💻 1.7K · 🔀 230 · 📦 130 · 📋 290 - 20% open · ⏱️ 03.03.2023): +- [GitHub](https://github.com/adapter-hub/adapter-transformers) (👨‍💻 1.7K · 🔀 240 · 📦 140 · 📋 290 - 22% open · ⏱️ 16.03.2023): ``` git clone https://github.com/Adapter-Hub/adapter-transformers ``` -- [PyPi](https://pypi.org/project/adapter-transformers) (📥 13K / month · 📦 6 · ⏱️ 20.09.2022): +- [PyPi](https://pypi.org/project/adapter-transformers) (📥 15K / month · 📦 6 · ⏱️ 20.09.2022): ``` pip install adapter-transformers ```
River (🥈32 · ⭐ 4.1K) - Online machine learning in Python. BSD-3 -- [GitHub](https://github.com/online-ml/river) (👨‍💻 95 · 🔀 460 · 📦 240 · 📋 400 - 2% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/online-ml/river) (👨‍💻 95 · 🔀 460 · 📦 250 · 📋 400 - 2% open · ⏱️ 06.03.2023): ``` git clone https://github.com/online-ml/river @@ -8595,7 +8632,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` pip install river ``` -- [Conda](https://anaconda.org/conda-forge/river) (📥 29K · ⏱️ 31.10.2022): +- [Conda](https://anaconda.org/conda-forge/river) (📥 30K · ⏱️ 31.10.2022): ``` conda install -c conda-forge river ``` @@ -8607,7 +8644,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/scikit-learn-contrib/hdbscan ``` -- [PyPi](https://pypi.org/project/hdbscan) (📥 520K / month · 📦 170 · ⏱️ 31.10.2022): +- [PyPi](https://pypi.org/project/hdbscan) (📥 510K / month · 📦 170 · ⏱️ 31.10.2022): ``` pip install hdbscan ``` @@ -8618,12 +8655,12 @@ _Libraries for connecting to, operating, and querying databases._
Pythran (🥈32 · ⭐ 1.9K) - Ahead of Time compiler for numeric kernels. BSD-3 -- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 68 · 🔀 180 · 📦 590 · 📋 800 - 15% open · ⏱️ 21.02.2023): +- [GitHub](https://github.com/serge-sans-paille/pythran) (👨‍💻 68 · 🔀 180 · 📦 600 · 📋 810 - 15% open · ⏱️ 14.03.2023): ``` git clone https://github.com/serge-sans-paille/pythran ``` -- [PyPi](https://pypi.org/project/pythran) (📥 310K / month · 📦 20 · ⏱️ 15.01.2023): +- [PyPi](https://pypi.org/project/pythran) (📥 300K / month · 📦 20 · ⏱️ 15.01.2023): ``` pip install pythran ``` @@ -8634,28 +8671,28 @@ _Libraries for connecting to, operating, and querying databases._
tensorly (🥈32 · ⭐ 1.4K) - TensorLy: Tensor Learning in Python. BSD-2 -- [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 60 · 🔀 270 · 📦 360 · 📋 240 - 24% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/tensorly/tensorly) (👨‍💻 60 · 🔀 270 · 📦 370 · 📋 240 - 24% open · ⏱️ 08.03.2023): ``` git clone https://github.com/tensorly/tensorly ``` -- [PyPi](https://pypi.org/project/tensorly) (📥 13K / month · 📦 41 · ⏱️ 14.01.2023): +- [PyPi](https://pypi.org/project/tensorly) (📥 15K / month · 📦 41 · ⏱️ 14.01.2023): ``` pip install tensorly ``` -- [Conda](https://anaconda.org/conda-forge/tensorly) (📥 360K · ⏱️ 08.03.2023): +- [Conda](https://anaconda.org/conda-forge/tensorly) (📥 360K · ⏱️ 09.03.2023): ``` conda install -c conda-forge tensorly ```
pyopencl (🥈32 · ⭐ 960) - OpenCL integration for Python, plus shiny features. MIT -- [GitHub](https://github.com/inducer/pyopencl) (👨‍💻 94 · 🔀 240 · 📦 1.4K · 📋 330 - 21% open · ⏱️ 22.02.2023): +- [GitHub](https://github.com/inducer/pyopencl) (👨‍💻 94 · 🔀 240 · 📦 1.4K · 📋 330 - 21% open · ⏱️ 14.03.2023): ``` git clone https://github.com/inducer/pyopencl ``` -- [PyPi](https://pypi.org/project/pyopencl) (📥 84K / month · 📦 190 · ⏱️ 04.01.2023): +- [PyPi](https://pypi.org/project/pyopencl) (📥 110K / month · 📦 190 · ⏱️ 04.01.2023): ``` pip install pyopencl ``` @@ -8664,18 +8701,18 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge pyopencl ```
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PennyLane (🥈31 · ⭐ 1.7K · 📉) - PennyLane is a cross-platform Python library for.. Apache-2 +
PennyLane (🥈31 · ⭐ 1.7K) - PennyLane is a cross-platform Python library for differentiable.. Apache-2 -- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 130 · 🔀 450 · 📥 64 · 📋 990 - 28% open · ⏱️ 07.03.2023): +- [GitHub](https://github.com/PennyLaneAI/pennylane) (👨‍💻 130 · 🔀 450 · 📥 64 · 📋 1K - 28% open · ⏱️ 15.03.2023): ``` git clone https://github.com/PennyLaneAI/PennyLane ``` -- [PyPi](https://pypi.org/project/pennylane) (📥 22K / month · 📦 50 · ⏱️ 06.03.2023): +- [PyPi](https://pypi.org/project/pennylane) (📥 23K / month · 📦 50 · ⏱️ 06.03.2023): ``` pip install pennylane ``` -- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 7.3K · ⏱️ 01.05.2022): +- [Conda](https://anaconda.org/conda-forge/pennylane) (📥 7.5K · ⏱️ 13.03.2023): ``` conda install -c conda-forge pennylane ``` @@ -8698,7 +8735,7 @@ _Libraries for connecting to, operating, and querying databases._
datalad (🥈31 · ⭐ 400) - Keep code, data, containers under control with git and git-annex. MIT -- [GitHub](https://github.com/datalad/datalad) (👨‍💻 55 · 🔀 110 · 📋 3.8K - 12% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/datalad/datalad) (👨‍💻 55 · 🔀 110 · 📋 3.8K - 12% open · ⏱️ 15.03.2023): ``` git clone https://github.com/datalad/datalad @@ -8719,14 +8756,14 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SeldonIO/alibi-detect ``` -- [PyPi](https://pypi.org/project/alibi-detect) (📥 21K / month · 📦 6 · ⏱️ 01.06.2022): +- [PyPi](https://pypi.org/project/alibi-detect) (📥 24K / month · 📦 6 · ⏱️ 01.06.2022): ``` pip install alibi-detect ```
avalanche (🥈29 · ⭐ 1.3K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT -- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 61 · 🔀 210 · 📥 4 · 📦 22 · 📋 640 - 12% open · ⏱️ 06.03.2023): +- [GitHub](https://github.com/ContinualAI/avalanche) (👨‍💻 63 · 🔀 210 · 📥 4 · 📦 23 · 📋 640 - 12% open · ⏱️ 16.03.2023): ``` git clone https://github.com/ContinualAI/avalanche @@ -8736,25 +8773,9 @@ _Libraries for connecting to, operating, and querying databases._ pip install avalanche-lib ```
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kmodes (🥈29 · ⭐ 1.1K) - Python implementations of the k-modes and k-prototypes clustering.. MIT - -- [GitHub](https://github.com/nicodv/kmodes) (👨‍💻 21 · 🔀 390 · 📦 1.8K · 📋 150 - 11% open · ⏱️ 21.02.2023): - - ``` - git clone https://github.com/nicodv/kmodes - ``` -- [PyPi](https://pypi.org/project/kmodes) (📥 410K / month · 📦 26 · ⏱️ 06.09.2022): - ``` - pip install kmodes - ``` -- [Conda](https://anaconda.org/conda-forge/kmodes) (📥 26K · ⏱️ 06.09.2022): - ``` - conda install -c conda-forge kmodes - ``` -
TabPy (🥈28 · ⭐ 1.4K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT -- [GitHub](https://github.com/tableau/TabPy) (👨‍💻 47 · 🔀 530 · 📦 120 · 📋 310 - 3% open · ⏱️ 31.01.2023): +- [GitHub](https://github.com/tableau/TabPy) (👨‍💻 47 · 🔀 540 · 📦 120 · 📋 310 - 3% open · ⏱️ 31.01.2023): ``` git clone https://github.com/tableau/TabPy @@ -8780,14 +8801,30 @@ _Libraries for connecting to, operating, and querying databases._ pip install pycm ```
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Prince (🥈28 · ⭐ 950) - Multivariate exploratory data analysis in Python: PCA, CA, MCA, MFA,.. MIT +
kmodes (🥈28 · ⭐ 1.1K) - Python implementations of the k-modes and k-prototypes clustering.. MIT + +- [GitHub](https://github.com/nicodv/kmodes) (👨‍💻 21 · 🔀 390 · 📦 1.8K · 📋 150 - 11% open · ⏱️ 21.02.2023): + + ``` + git clone https://github.com/nicodv/kmodes + ``` +- [PyPi](https://pypi.org/project/kmodes) (📥 400K / month · 📦 26 · ⏱️ 06.09.2022): + ``` + pip install kmodes + ``` +- [Conda](https://anaconda.org/conda-forge/kmodes) (📥 26K · ⏱️ 06.09.2022): + ``` + conda install -c conda-forge kmodes + ``` +
+
Prince (🥈28 · ⭐ 960) - Multivariate exploratory data analysis in Python: PCA, CA, MCA, MFA,.. MIT -- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 14 · 🔀 170 · 📦 320 · 📋 120 - 1% open · ⏱️ 02.03.2023): +- [GitHub](https://github.com/MaxHalford/prince) (👨‍💻 14 · 🔀 170 · 📦 320 · 📋 120 - 0% open · ⏱️ 11.03.2023): ``` git clone https://github.com/MaxHalford/prince ``` -- [PyPi](https://pypi.org/project/prince) (📥 34K / month · 📦 9 · ⏱️ 06.10.2020): +- [PyPi](https://pypi.org/project/prince) (📥 37K / month · 📦 9 · ⏱️ 06.10.2020): ``` pip install prince ``` @@ -8803,38 +8840,38 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/deepmind/pysc2 ``` -- [PyPi](https://pypi.org/project/pysc2) (📥 2.1K / month · 📦 26 · ⏱️ 13.07.2022): +- [PyPi](https://pypi.org/project/pysc2) (📥 2K / month · 📦 26 · ⏱️ 13.07.2022): ``` pip install pysc2 ```
Mars (🥉27 · ⭐ 2.6K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2 -- [GitHub](https://github.com/mars-project/mars) (👨‍💻 45 · 🔀 310 · 📋 1.2K - 18% open · ⏱️ 16.02.2023): +- [GitHub](https://github.com/mars-project/mars) (👨‍💻 45 · 🔀 310 · 📋 1.2K - 18% open · ⏱️ 14.03.2023): ``` git clone https://github.com/mars-project/mars ``` -- [PyPi](https://pypi.org/project/pymars) (📥 35K / month · 📦 1 · ⏱️ 10.01.2023): +- [PyPi](https://pypi.org/project/pymars) (📥 34K / month · 📦 1 · ⏱️ 10.01.2023): ``` pip install pymars ```
anomalib (🥉27 · ⭐ 1.7K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2 -- [GitHub](https://github.com/openvinotoolkit/anomalib) (👨‍💻 32 · 🔀 300 · 📥 150 · 📦 6 · 📋 400 - 8% open · ⏱️ 09.03.2023): +- [GitHub](https://github.com/openvinotoolkit/anomalib) (👨‍💻 34 · 🔀 310 · 📥 170 · 📦 8 · 📋 410 - 8% open · ⏱️ 13.03.2023): ``` git clone https://github.com/openvinotoolkit/anomalib ``` -- [PyPi](https://pypi.org/project/anomalib) (📥 4.2K / month · ⏱️ 28.10.2022): +- [PyPi](https://pypi.org/project/anomalib) (📥 4K / month · ⏱️ 28.10.2022): ``` pip install anomalib ```
causalml (🥉26 · ⭐ 3.8K) - Uplift modeling and causal inference with machine learning.. Apache-2 -- [GitHub](https://github.com/uber/causalml) (👨‍💻 49 · 🔀 610 · 📦 140 · 📋 320 - 26% open · ⏱️ 03.02.2023): +- [GitHub](https://github.com/uber/causalml) (👨‍💻 49 · 🔀 610 · 📦 150 · 📋 320 - 26% open · ⏱️ 16.03.2023): ``` git clone https://github.com/uber/causalml @@ -8862,12 +8899,12 @@ _Libraries for connecting to, operating, and querying databases._
PySwarms (🥉26 · ⭐ 1K · 💤) - A research toolkit for particle swarm optimization in Python. MIT -- [GitHub](https://github.com/ljvmiranda921/pyswarms) (👨‍💻 44 · 🔀 310 · 📦 240 · 📋 220 - 7% open · ⏱️ 03.07.2022): +- [GitHub](https://github.com/ljvmiranda921/pyswarms) (👨‍💻 44 · 🔀 310 · 📦 240 · 📋 220 - 8% open · ⏱️ 03.07.2022): ``` git clone https://github.com/ljvmiranda921/pyswarms ``` -- [PyPi](https://pypi.org/project/pyswarms) (📥 7.5K / month · 📦 11 · ⏱️ 03.01.2021): +- [PyPi](https://pypi.org/project/pyswarms) (📥 7.4K / month · 📦 11 · ⏱️ 03.01.2021): ``` pip install pyswarms ``` @@ -8879,19 +8916,19 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/google/trax ``` -- [PyPi](https://pypi.org/project/trax) (📥 6.9K / month · 📦 1 · ⏱️ 26.10.2021): +- [PyPi](https://pypi.org/project/trax) (📥 6.8K / month · 📦 1 · ⏱️ 26.10.2021): ``` pip install trax ```
gplearn (🥉25 · ⭐ 1.3K · 💤) - Genetic Programming in Python, with a scikit-learn inspired API. BSD-3 -- [GitHub](https://github.com/trevorstephens/gplearn) (👨‍💻 11 · 🔀 230 · 📦 340 · 📋 200 - 9% open · ⏱️ 04.08.2022): +- [GitHub](https://github.com/trevorstephens/gplearn) (👨‍💻 11 · 🔀 230 · 📦 350 · 📋 200 - 9% open · ⏱️ 04.08.2022): ``` git clone https://github.com/trevorstephens/gplearn ``` -- [PyPi](https://pypi.org/project/gplearn) (📥 5.1K / month · 📦 13 · ⏱️ 03.05.2022): +- [PyPi](https://pypi.org/project/gplearn) (📥 5.7K / month · 📦 13 · ⏱️ 03.05.2022): ``` pip install gplearn ``` @@ -8919,7 +8956,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/solegalli/feature_engine ``` -- [PyPi](https://pypi.org/project/feature_engine) (📥 150K / month · 📦 30 · ⏱️ 22.11.2022): +- [PyPi](https://pypi.org/project/feature_engine) (📥 160K / month · 📦 30 · ⏱️ 22.11.2022): ``` pip install feature_engine ``` @@ -8928,14 +8965,14 @@ _Libraries for connecting to, operating, and querying databases._ conda install -c conda-forge feature_engine ```
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MONAILabel (🥉24 · ⭐ 370) - MONAI Label is an intelligent open source image labeling and.. Apache-2 +
MONAILabel (🥉24 · ⭐ 380) - MONAI Label is an intelligent open source image labeling and.. Apache-2 -- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 43 · 🔀 130 · 📥 41K · 📋 380 - 11% open · ⏱️ 25.02.2023): +- [GitHub](https://github.com/Project-MONAI/MONAILabel) (👨‍💻 43 · 🔀 130 · 📥 42K · 📋 390 - 12% open · ⏱️ 14.03.2023): ``` git clone https://github.com/Project-MONAI/MONAILabel ``` -- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 740 / month · ⏱️ 29.01.2023): +- [PyPi](https://pypi.org/project/monailabel-weekly) (📥 730 / month · ⏱️ 29.01.2023): ``` pip install monailabel-weekly ``` @@ -8947,35 +8984,35 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/rasbt/biopandas ``` -- [PyPi](https://pypi.org/project/biopandas) (📥 6.4K / month · 📦 18 · ⏱️ 13.05.2022): +- [PyPi](https://pypi.org/project/biopandas) (📥 7.9K / month · 📦 18 · ⏱️ 13.05.2022): ``` pip install biopandas ``` -- [Conda](https://anaconda.org/conda-forge/biopandas) (📥 130K · ⏱️ 13.05.2022): +- [Conda](https://anaconda.org/conda-forge/biopandas) (📥 130K · ⏱️ 11.03.2023): ``` conda install -c conda-forge biopandas ```
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dstack (🥉23 · ⭐ 550) - Define ML workflows as code and run via CLI. Use any cloud. Collaborate.. MPL-2.0 +
dstack (🥉23 · ⭐ 580) - Define ML workflows as code and run via CLI. Use any cloud. Collaborate.. MPL-2.0 -- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 9 · 🔀 34 · 📦 11 · 📋 180 - 16% open · ⏱️ 08.03.2023): +- [GitHub](https://github.com/dstackai/dstack) (👨‍💻 10 · 🔀 34 · 📦 11 · 📋 180 - 16% open · ⏱️ 16.03.2023): ``` git clone https://github.com/dstackai/dstack ``` -- [PyPi](https://pypi.org/project/dstack) (📥 910 / month · ⏱️ 29.06.2022): +- [PyPi](https://pypi.org/project/dstack) (📥 940 / month · ⏱️ 29.06.2022): ``` pip install dstack ```
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AstroML (🥉22 · ⭐ 880) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 +
AstroML (🥉22 · ⭐ 890) - Machine learning, statistics, and data mining for astronomy and.. BSD-2 - [GitHub](https://github.com/astroML/astroML) (👨‍💻 30 · 🔀 280 · 📋 160 - 39% open · ⏱️ 12.12.2022): ``` git clone https://github.com/astroML/astroML ``` -- [PyPi](https://pypi.org/project/astroML) (📥 1.9K / month · 📦 33 · ⏱️ 01.03.2022): +- [PyPi](https://pypi.org/project/astroML) (📥 1.7K / month · 📦 33 · ⏱️ 01.03.2022): ``` pip install astroML ``` @@ -8994,16 +9031,28 @@ _Libraries for connecting to, operating, and querying databases._
benchmark_VAE (🥉21 · ⭐ 1.2K) - Unifying Variational Autoencoder (VAE) implementations.. Apache-2 -- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨‍💻 9 · 🔀 100 · 📦 4 · 📋 33 - 15% open · ⏱️ 02.03.2023): +- [GitHub](https://github.com/clementchadebec/benchmark_VAE) (👨‍💻 9 · 🔀 100 · 📦 4 · 📋 33 - 15% open · ⏱️ 13.03.2023): ``` git clone https://github.com/clementchadebec/benchmark_VAE ``` -- [PyPi](https://pypi.org/project/pythae) (📥 830 / month · ⏱️ 19.10.2022): +- [PyPi](https://pypi.org/project/pythae) (📥 660 / month · ⏱️ 19.10.2022): ``` pip install pythae ```
+
rrcf (🥉21 · ⭐ 420) - Implementation of the Robust Random Cut Forest algorithm for anomaly detection.. MIT + +- [GitHub](https://github.com/kLabUM/rrcf) (👨‍💻 5 · 🔀 94 · 📦 43 · 📋 45 - 57% open · ⏱️ 15.03.2023): + + ``` + git clone https://github.com/kLabUM/rrcf + ``` +- [PyPi](https://pypi.org/project/rrcf) (📥 7.7K / month · 📦 2 · ⏱️ 10.06.2020): + ``` + pip install rrcf + ``` +
SUOD (🥉19 · ⭐ 340 · 💤) - (MLSys 21) An Acceleration System for Large-scare Unsupervised.. BSD-2 - [GitHub](https://github.com/yzhao062/SUOD) (👨‍💻 2 · 🔀 42 · 📦 470 · 📋 10 - 70% open · ⏱️ 07.07.2022): @@ -9011,7 +9060,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/yzhao062/SUOD ``` -- [PyPi](https://pypi.org/project/suod) (📥 28K / month · ⏱️ 01.10.2021): +- [PyPi](https://pypi.org/project/suod) (📥 29K / month · ⏱️ 01.10.2021): ``` pip install suod ``` @@ -9023,7 +9072,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/pykale/pykale ``` -- [PyPi](https://pypi.org/project/pykale) (📥 76 / month · ⏱️ 21.08.2022): +- [PyPi](https://pypi.org/project/pykale) (📥 68 / month · ⏱️ 21.08.2022): ``` pip install pykale ``` @@ -9035,7 +9084,7 @@ _Libraries for connecting to, operating, and querying databases._ ``` git clone https://github.com/SforAiDl/KD_Lib ``` -- [PyPi](https://pypi.org/project/KD-Lib) (📥 68 / month · ⏱️ 18.05.2022): +- [PyPi](https://pypi.org/project/KD-Lib) (📥 66 / month · ⏱️ 18.05.2022): ``` pip install KD-Lib ``` @@ -9060,19 +9109,18 @@ _Libraries for connecting to, operating, and querying databases._ git clone https://github.com/jrieke/traingenerator ```
-
Show 18 hidden projects... +
Show 17 hidden projects... - cleanlab (🥈30 · ⭐ 5.5K) - The standard data-centric AI package for data quality and machine.. ❗️AGPL-3.0 - Cython BLIS (🥈29 · ⭐ 200) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3 - minisom (🥉27 · ⭐ 1.2K) - MiniSom is a minimalistic implementation of the Self Organizing.. ❗️CC-BY-3.0 - modAL (🥉26 · ⭐ 1.9K · 💀) - A modular active learning framework for Python. MIT -- pyclustering (🥉26 · ⭐ 1K · 💀) - pyclustering is a Python, C++ data mining library. BSD-3 -- mlens (🥉23 · ⭐ 770 · 💀) - ML-Ensemble high performance ensemble learning. MIT -- findspark (🥉23 · ⭐ 460 · 💀) - Find pyspark to make it importable. BSD-3 +- pyclustering (🥉26 · ⭐ 1.1K · 💀) - pyclustering is a Python, C++ data mining library. BSD-3 +- mlens (🥉23 · ⭐ 780 · 💀) - ML-Ensemble high performance ensemble learning. MIT +- findspark (🥉23 · ⭐ 470 · 💀) - Find pyspark to make it importable. BSD-3 +- vecstack (🥉22 · ⭐ 670 · 💀) - Python package for stacking (machine learning technique). MIT - metricflow (🥉21 · ⭐ 820) - MetricFlow allows you to define, build, and maintain metrics in.. ❗️AGPL-3.0 -- vecstack (🥉21 · ⭐ 670 · 💀) - Python package for stacking (machine learning technique). MIT - opyrator (🥉20 · ⭐ 2.8K · 💀) - Turns your machine learning code into microservices with web API,.. MIT -- rrcf (🥉20 · ⭐ 420 · 💀) - Implementation of the Robust Random Cut Forest algorithm for anomaly.. MIT - scikit-rebate (🥉20 · ⭐ 380 · 💀) - A scikit-learn-compatible Python implementation of.. MIT - impyute (🥉20 · ⭐ 330 · 💀) - Data imputations library to preprocess datasets with missing data. MIT - apricot (🥉18 · ⭐ 460 · 💀) - apricot implements submodular optimization for the purpose of.. MIT diff --git a/history/2023-03-16_changes.md b/history/2023-03-16_changes.md new file mode 100644 index 00000000..d5663cb6 --- /dev/null +++ b/history/2023-03-16_changes.md @@ -0,0 +1,30 @@ +## 📈 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._ + +- Streamlit (🥇41 · ⭐ 23K · 📈) - Streamlit The fastest way to build data apps in Python. Apache-2 +- Altair (🥇41 · ⭐ 8.1K · 📈) - Declarative statistical visualization library for Python. BSD-3 +- flair (🥇40 · ⭐ 13K · 📈) - A very simple framework for state-of-the-art Natural Language.. MIT +- stanza (🥈34 · ⭐ 6.5K · 📈) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 +- plotnine (🥈34 · ⭐ 3.4K · 📈) - A grammar of graphics for Python. MIT +- scikit-multilearn (🥈30 · ⭐ 820 · 📈) - A scikit-learn based module for multi-label et. al... BSD-2 +- Sentinelsat (🥉29 · ⭐ 860 · 📈) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- Pillow-SIMD (🥉28 · ⭐ 1.9K · 💤) - The friendly PIL fork. ❗️PIL +- quinn (🥉26 · ⭐ 430 · 📈) - pyspark methods to enhance developer productivity. Apache-2 +- scikit-posthocs (🥉22 · ⭐ 270 · 📈) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT + +## 📉 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._ + +- spaCy (🥇42 · ⭐ 26K · 📉) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- fairseq (🥇36 · ⭐ 21K · 📉) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT +- pyproj (🥈36 · ⭐ 860 · 📉) - Python interface to PROJ (cartographic projections and coordinate.. MIT +- TextBlob (🥈35 · ⭐ 8.5K · 📉) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT +- metrics (🥈31 · ⭐ 1.3K · 📉) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 +- pingouin (🥉28 · ⭐ 1.3K · 📉) - Statistical package in Python based on Pandas. ❗️GPL-3.0 +- pandas-profiling (🥉27 · ⭐ 10K · 📉) - Deprecated pandas-profiling package, use ydata-.. MIT +- StatsForecast (🥈27 · ⭐ 2.3K · 📉) - Lightning fast forecasting with statistical and.. Apache-2 +- Torchmeta (🥉20 · ⭐ 1.8K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT +- steppy (🥉14 · ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT + diff --git a/history/2023-03-16_projects.csv b/history/2023-03-16_projects.csv new file mode 100644 index 00000000..5207b230 --- /dev/null +++ b/history/2023-03-16_projects.csv @@ -0,0 +1,909 @@ +,name,github_id,category,resource,github_url,homepage,license,created_at,updated_at,last_commit_pushed_at,commit_count,recent_commit_count,fork_count,watchers_count,pr_count,open_issue_count,closed_issue_count,star_count,description,contributor_count,projectrank,show,latest_stable_release_published_at,latest_stable_release_number,release_count,pypi_id,conda_id,dockerhub_id,docs_url,labels,dependent_project_count,github_dependent_project_count,pypi_url,pypi_latest_release_published_at,pypi_dependent_project_count,pypi_monthly_downloads,monthly_downloads,conda_url,conda_latest_release_published_at,conda_total_downloads,dockerhub_url,dockerhub_latest_release_published_at,dockerhub_stars,dockerhub_pulls,projectrank_placing,github_release_downloads,helm_id,trending,npm_id,npm_url,npm_latest_release_published_at,npm_dependent_project_count,npm_monthly_downloads,brew_id,apt_id,yum_id,updated_github_id,conda_dependent_project_count,maven_id,maven_url,maven_latest_release_published_at,maven_dependent_project_count,dnf_id,yay_id,snap_id +0,ANN Benchmarks,erikbern/ann-benchmarks,nn-search,True,https://github.com/erikbern/ann-benchmarks,https://github.com/erikbern/ann-benchmarks,MIT,2015-05-28 13:21:43.000,2023-03-15 22:48:02.000000,2023-03-11 16:33:42,1344.0,19.0,484,98.0,214.0,46.0,103.0,3273,Benchmarks of approximate nearest neighbor libraries in Python.,79.0,0,True,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +1,best-of-web-python - Web Scraping,ml-tooling/best-of-web-python,web-scraping,True,https://github.com/ml-tooling/best-of-web-python,https://github.com/ml-tooling/best-of-web-python#web-scraping--crawling,CC-BY-SA-4.0,2021-01-05 13:09:27.000,2023-03-09 22:01:57.000000,2023-03-09 22:01:55,211.0,24.0,141,52.0,130.0,1.0,2.0,1833,Collection of web-scraping and crawling libraries.,10.0,0,True,2023-03-09 22:02:03.000,2023.03.09,80.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +2,best-of-python - Data Extraction,ml-tooling/best-of-python,data-loading,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-loading--extraction,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-03-16 13:46:21.000000,2023-03-09 22:00:58,226.0,22.0,204,82.0,130.0,2.0,4.0,2873,Collection of data-loading and -extraction libraries.,9.0,0,True,2023-03-09 22:01:05.000,2023.03.09,82.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +3,best-of-python - DB Clients,ml-tooling/best-of-python,db-clients,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#database-clients,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-03-16 13:46:21.000000,2023-03-09 22:00:58,226.0,22.0,204,82.0,130.0,2.0,4.0,2873,Collection of database clients for python.,9.0,0,True,2023-03-09 22:01:05.000,2023.03.09,82.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +4,best-of-python - Data Containers,ml-tooling/best-of-python,data-containers,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-containers--dataframes,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-03-16 13:46:21.000000,2023-03-09 22:00:58,226.0,22.0,204,82.0,130.0,2.0,4.0,2873,"Collection of data-container, dataframe, and pandas-utility libraries.",9.0,0,True,2023-03-09 22:01:05.000,2023.03.09,82.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +5,best-of-python - Data Pipelines,ml-tooling/best-of-python,data-pipelines,True,https://github.com/ml-tooling/best-of-python,https://github.com/ml-tooling/best-of-python#data-pipelines--streaming,CC-BY-SA-4.0,2021-01-11 19:11:32.000,2023-03-16 13:46:21.000000,2023-03-09 22:00:58,226.0,22.0,204,82.0,130.0,2.0,4.0,2873,"Libraries for data batch- and stream-processing, workflow automation, job scheduling, and other data pipeline tasks.",9.0,0,True,2023-03-09 22:01:05.000,2023.03.09,82.0,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,,, +6,Tensorflow,tensorflow/tensorflow,ml-frameworks,,https://github.com/tensorflow/tensorflow,https://github.com/tensorflow/tensorflow,Apache-2.0,2015-11-07 01:19:20.000,2023-03-16 12:57:20.000000,2023-03-16 12:57:13,144967.0,4454.0,87953,7745.0,22746.0,2305.0,34775.0,174239,An Open Source Machine Learning Framework for Everyone.,4300.0,55,True,2022-11-18 06:01:33.000,2.11.0,173.0,tensorflow,conda-forge/tensorflow,tensorflow/tensorflow,https://www.tensorflow.org/overview,['tensorflow'],274416.0,259618.0,https://pypi.org/project/tensorflow,2022-11-18 05:40:24.645,14798.0,17009650.0,19835765.0,https://anaconda.org/conda-forge/tensorflow,2023-01-08 21:26:45.867,4020169.0,https://hub.docker.com/r/tensorflow/tensorflow,2023-03-16 12:47:37.771291,2118.0,71810787.0,1.0,,,,,,,,,,,,,,,,,,,, +7,scikit-learn,scikit-learn/scikit-learn,ml-frameworks,,https://github.com/scikit-learn/scikit-learn,https://github.com/scikit-learn/scikit-learn,BSD-3-Clause,2010-08-17 09:43:38.000,2023-03-16 14:02:46.000000,2023-03-16 14:02:46,29724.0,348.0,24061,2157.0,15112.0,2123.0,8448.0,53352,scikit-learn: machine learning in Python.,2878.0,52,True,2023-03-09 10:08:59.000,1.2.2,69.0,scikit-learn,conda-forge/scikit-learn,,,['sklearn'],510009.0,482293.0,https://pypi.org/project/scikit-learn,2023-01-24 16:44:32.680,27716.0,37781420.0,38022267.0,https://anaconda.org/conda-forge/scikit-learn,2023-03-09 11:58:40.701,19748642.0,,,,,1.0,851.0,,,,,,,,,,,,,,,,,,, +8,PyTorch,pytorch/pytorch,ml-frameworks,,https://github.com/pytorch/pytorch,https://github.com/pytorch/pytorch,BSD-3-Clause,2016-08-13 05:26:41.000,2023-03-16 14:13:41.000000,2023-03-16 07:38:53,57741.0,2788.0,17696,1627.0,64595.0,11298.0,21591.0,63819,Tensors and Dynamic neural networks in Python with strong GPU acceleration.,3905.0,50,True,2023-03-15 19:38:58.000,2.0.0,44.0,torch,pytorch/pytorch,,https://pytorch.org/docs/stable/index.html,['pytorch'],9108.0,,https://pypi.org/project/torch,2022-12-15 20:09:57.027,9108.0,8980811.0,9781243.0,https://anaconda.org/pytorch/pytorch,2023-03-14 19:20:31.620,14404959.0,,,,,1.0,12253.0,,,,,,,,,,,,,,,,,,, +9,Matplotlib,matplotlib/matplotlib,data-viz,,https://github.com/matplotlib/matplotlib,https://github.com/matplotlib/matplotlib,Python-2.0,2011-02-19 03:17:12.000,2023-03-16 13:23:54.000000,2023-03-16 07:45:13,46706.0,1104.0,6763,593.0,16113.0,1870.0,7814.0,17016,matplotlib: plotting with Python.,1480.0,50,True,2023-03-04 07:29:28.961,3.7.1,101.0,matplotlib,conda-forge/matplotlib,,,,830254.0,771354.0,https://pypi.org/project/matplotlib,2023-01-25 21:23:43.941,58900.0,33928559.0,34113121.0,https://anaconda.org/conda-forge/matplotlib,2023-03-06 21:33:49.039,16610664.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +10,transformers,huggingface/transformers,nlp,,https://github.com/huggingface/transformers,https://github.com/huggingface/transformers,Apache-2.0,2018-10-29 13:56:00.000,2023-03-16 14:02:15.000000,2023-03-16 13:21:58,12346.0,731.0,18589,925.0,11019.0,578.0,10647.0,85340,"Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.",1777.0,49,True,2023-03-15 19:50:18.000,4.27.1,102.0,transformers,conda-forge/transformers,,,"['pytorch', 'tensorflow']",60498.0,58996.0,https://pypi.org/project/transformers,2023-01-24 17:05:59.598,1502.0,11558262.0,11581263.0,https://anaconda.org/conda-forge/transformers,2023-03-16 01:58:01.317,942712.0,,,,,1.0,410.0,,,,,,,,,,,,,,,,,,, +11,scipy,scipy/scipy,others,,https://github.com/scipy/scipy,https://github.com/scipy/scipy,BSD-3-Clause,2011-03-09 18:52:03.000,2023-03-16 11:28:35.000000,2023-03-16 11:28:35,29721.0,489.0,4633,345.0,9213.0,1683.0,7549.0,10948,"Ecosystem of open-source software for mathematics, science, and engineering.",1434.0,49,True,2023-02-19 21:46:42.000,1.10.1,89.0,scipy,conda-forge/scipy,,,,746755.0,685229.0,https://pypi.org/project/scipy,2023-01-03 22:36:58.305,61526.0,54284140.0,54706806.0,https://anaconda.org/conda-forge/scipy,2023-02-26 14:29:14.610,34330912.0,,,,,1.0,367739.0,,,,,,,,,,,,,,,,,,, +12,Pillow,python-pillow/Pillow,image,,https://github.com/python-pillow/Pillow,https://github.com/python-pillow/Pillow,PIL,2012-07-24 21:38:39.000,2023-03-16 09:10:21.000000,2023-03-14 21:33:45,14503.0,378.0,1991,219.0,4169.0,136.0,2652.0,10623,Python Imaging Library (Fork).,430.0,47,True,2023-01-02 21:32:51.909,9.4.0,91.0,Pillow,conda-forge/pillow,,,,1139231.0,1074322.0,https://pypi.org/project/Pillow,2023-01-02 21:32:51.909,64909.0,54058132.0,54357874.0,https://anaconda.org/conda-forge/pillow,2023-03-08 11:59:44.515,24878663.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +13,SymPy,sympy/sympy,others,,https://github.com/sympy/sympy,https://github.com/sympy/sympy,BSD-3-Clause,2010-04-30 20:37:14.000,2023-03-16 12:19:52.000000,2023-03-15 20:05:34,53670.0,982.0,3900,289.0,12250.0,4682.0,8327.0,10410,A computer algebra system written in pure Python.,1203.0,46,True,2022-08-30 17:34:08.040,1.11.1,49.0,sympy,conda-forge/sympy,,,,59352.0,54899.0,https://pypi.org/project/sympy,2022-08-30 17:34:08.040,4453.0,3067780.0,3108495.0,https://anaconda.org/conda-forge/sympy,2022-10-27 02:25:19.270,2990974.0,,,,,1.0,491844.0,,,,,,,,,,,,,,,,,,, +14,Keras,keras-team/keras,ml-frameworks,,https://github.com/keras-team/keras,https://github.com/keras-team/keras,Apache-2.0,2015-03-28 00:35:42.000,2023-03-16 07:27:42.000000,2023-03-15 19:22:05,7855.0,261.0,19304,1924.0,5978.0,377.0,11384.0,57589,Deep Learning for humans.,1168.0,45,True,2022-11-14 18:10:37.000,2.11.0,75.0,keras,conda-forge/keras,,https://keras.io,['tensorflow'],514.0,,https://pypi.org/project/keras,2023-02-23 18:53:01.699,514.0,10876849.0,10913945.0,https://anaconda.org/conda-forge/keras,2022-11-21 08:56:09.864,2930590.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +15,PySpark,apache/spark,ml-frameworks,,https://github.com/apache/spark,https://github.com/apache/spark,Apache-2.0,2014-02-25 08:00:08.000,2023-03-16 13:33:00.000000,2023-03-16 11:35:47,36175.0,1105.0,26683,2051.0,40429.0,207.0,,35235,Apache Spark Python API.,2835.0,45,True,2023-02-15 22:45:09.199,3.3.2,34.0,pyspark,conda-forge/pyspark,,,['spark'],995.0,,https://pypi.org/project/pyspark,2022-11-28 18:27:04.218,995.0,25807037.0,25840346.0,https://anaconda.org/conda-forge/pyspark,2023-02-19 18:08:45.517,2398295.0,,,,,1.0,,stable/spark,,,,,,,,,,,,,,,,,, +16,StatsModels,statsmodels/statsmodels,ml-frameworks,,https://github.com/statsmodels/statsmodels,https://github.com/statsmodels/statsmodels,BSD-3-Clause,2011-06-12 17:04:50.000,2023-03-15 17:40:48.000000,2023-02-26 12:48:15,14935.0,86.0,2672,277.0,3714.0,2534.0,2634.0,8282,Statsmodels: statistical modeling and econometrics in Python.,408.0,45,True,2022-11-02 17:40:09.913,0.13.5,33.0,statsmodels,conda-forge/statsmodels,,,,92174.0,87165.0,https://pypi.org/project/statsmodels,2022-11-02 17:40:09.913,5009.0,9141112.0,9252491.0,https://anaconda.org/conda-forge/statsmodels,2022-11-04 18:55:06.900,9021713.0,,,,,1.0,27.0,,,,,,,,,,,,,,,,,,, +17,Ray,ray-project/ray,distributed-ml,,https://github.com/ray-project/ray,https://github.com/ray-project/ray,Apache-2.0,2016-10-25 19:38:30.000,2023-03-16 13:52:43.000000,2023-03-16 13:52:42,16388.0,992.0,4278,445.0,19974.0,2878.0,10481.0,24596,Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a..,826.0,44,True,2023-02-24 15:34:15.000,ray-2.3.0,81.0,ray,conda-forge/ray-tune,,,,9000.0,8551.0,https://pypi.org/project/ray,2023-02-24 06:15:04.778,449.0,2252009.0,2255828.0,https://anaconda.org/conda-forge/ray-tune,2023-02-26 10:20:09.550,103129.0,,,,,1.0,30.0,,,,,,,,,,,,,,,,,,, +18,XGBoost,dmlc/xgboost,ml-frameworks,,https://github.com/dmlc/xgboost,https://github.com/dmlc/xgboost,Apache-2.0,2014-02-06 17:28:03.000,2023-03-16 12:27:49.000000,2023-03-16 12:24:03,6262.0,153.0,8555,922.0,4177.0,367.0,4430.0,23872,"Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and..",597.0,44,True,2023-02-16 17:21:58.847,1.7.4,72.0,xgboost,conda-forge/xgboost,,https://xgboost.readthedocs.io/en/latest/,,51407.0,49860.0,https://pypi.org/project/xgboost,2023-01-06 19:21:10.487,1547.0,9164472.0,9215714.0,https://anaconda.org/conda-forge/xgboost,2022-11-07 20:50:22.110,3685332.0,,,,,2.0,6196.0,,,,,,,,,,,,,,,,,,, +19,nltk,nltk/nltk,nlp,,https://github.com/nltk/nltk,https://github.com/nltk/nltk,Apache-2.0,2009-09-07 10:53:58.000,2023-03-15 09:19:33.000000,2023-03-13 06:42:52,14438.0,31.0,2694,468.0,1411.0,229.0,1474.0,11640,Suite of libraries and programs for symbolic and statistical natural language processing for English.,439.0,44,True,2023-01-02 22:02:43.849,3.8.1,52.0,nltk,conda-forge/nltk,,,,194482.0,182211.0,https://pypi.org/project/nltk,2023-01-02 22:02:43.849,12271.0,10917803.0,10940834.0,https://anaconda.org/conda-forge/nltk,2023-01-02 21:54:06.351,1819506.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +20,scikit-image,scikit-image/scikit-image,image,,https://github.com/scikit-image/scikit-image,https://github.com/scikit-image/scikit-image,BSD-2-Clause,2011-07-07 22:07:20.000,2023-03-16 14:11:13.000000,2023-03-14 17:12:34,13472.0,128.0,2121,186.0,4038.0,683.0,1939.0,5305,Image processing in Python.,599.0,44,True,2023-02-28 23:32:35.000,0.20.0,54.0,scikit-image,conda-forge/scikit-image,,,,142529.0,132661.0,https://pypi.org/project/scikit-image,2022-06-12 18:11:12.000,9868.0,6870153.0,6927587.0,https://anaconda.org/conda-forge/scikit-image,2022-10-30 12:02:37.338,4709666.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +21,jax,google/jax,ml-frameworks,,https://github.com/google/jax,https://github.com/google/jax,Apache-2.0,2018-10-25 21:25:02.000,2023-03-16 07:54:11.000000,2023-03-16 06:10:32,15265.0,1112.0,2080,307.0,9239.0,1305.0,2907.0,22252,"Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more.",515.0,43,True,2023-03-09 22:41:44.000,jaxlib-v0.4.6,140.0,jax,conda-forge/jaxlib,,,,9431.0,8885.0,https://pypi.org/project/jax,2023-01-25 19:22:32.273,546.0,1598879.0,1613369.0,https://anaconda.org/conda-forge/jaxlib,2023-03-12 05:57:04.563,637596.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +22,Bokeh,bokeh/bokeh,data-viz,,https://github.com/bokeh/bokeh,https://github.com/bokeh/bokeh,BSD-3-Clause,2012-03-26 15:40:01.000,2023-03-16 10:57:57.000000,2023-03-16 01:29:08,20031.0,139.0,4074,447.0,5605.0,698.0,6542.0,17363,"Interactive Data Visualization in the browser, from Python.",641.0,43,True,2023-03-10 15:54:05.466,3.1.0,160.0,bokeh,conda-forge/bokeh,,,,3875.0,202.0,https://pypi.org/project/bokeh,2022-12-20 09:06:57.840,3673.0,3479755.0,3626208.0,https://anaconda.org/conda-forge/bokeh,2023-03-14 12:50:41.968,10398167.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +23,LightGBM,microsoft/LightGBM,ml-frameworks,,https://github.com/microsoft/LightGBM,https://github.com/microsoft/LightGBM,MIT,2016-08-05 05:45:50.000,2023-03-16 14:11:00.000000,2023-03-16 14:10:57,3226.0,89.0,3687,444.0,2847.0,256.0,2700.0,14748,"A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision..",281.0,43,True,2023-01-24 03:35:51.144,3.3.5,32.0,lightgbm,conda-forge/lightgbm,,,,20533.0,19803.0,https://pypi.org/project/lightgbm,2023-01-24 03:35:51.144,730.0,6195746.0,6221345.0,https://anaconda.org/conda-forge/lightgbm,2023-01-24 13:04:34.282,1565568.0,,,,,2.0,182961.0,,,,,,,,,,,,,,,,,,, +24,networkx,networkx/networkx,graph,,https://github.com/networkx/networkx,https://github.com/networkx/networkx,BSD-3-Clause,2010-09-06 00:53:44.000,2023-03-16 07:14:15.000000,2023-03-14 13:04:32,7212.0,81.0,2865,282.0,3167.0,379.0,2751.0,12347,Network Analysis in Python.,643.0,43,True,2023-01-08 00:03:20.000,networkx-3.0,87.0,networkx,conda-forge/networkx,,,,159315.0,145209.0,https://pypi.org/project/networkx,2023-01-08 00:03:30.177,14106.0,22960798.0,23095647.0,https://anaconda.org/conda-forge/networkx,2023-01-08 04:17:56.857,10383373.0,,,,,1.0,63.0,,,,,,,,,,,,,,,,,,, +25,dask,dask/dask,distributed-ml,,https://github.com/dask/dask,https://github.com/dask/dask,BSD-3-Clause,2015-01-04 18:50:00.000,2023-03-16 13:31:31.000000,2023-03-15 00:20:39,7619.0,144.0,1599,216.0,5170.0,914.0,3922.0,10814,Parallel computing with task scheduling.,579.0,43,True,2023-03-10 21:25:47.003,2023.3.1,166.0,dask,conda-forge/dask,,,,49873.0,46844.0,https://pypi.org/project/dask,2023-03-01 21:19:05.337,3029.0,7179826.0,7279551.0,https://anaconda.org/conda-forge/dask,2023-03-10 22:43:30.370,8177525.0,,,,,1.0,,stable/dask,,,,,,,,,,,,,,,,,, +26,Seaborn,mwaskom/seaborn,data-viz,,https://github.com/mwaskom/seaborn,https://github.com/mwaskom/seaborn,BSD-3-Clause,2012-06-18 18:41:19.000,2023-03-14 23:55:52.000000,2023-03-14 23:55:50,3124.0,37.0,1712,254.0,978.0,119.0,2168.0,10474,Statistical data visualization in Python.,189.0,43,True,2023-01-02 17:36:07.692,0.12.2,33.0,seaborn,conda-forge/seaborn,,,,244360.0,234094.0,https://pypi.org/project/seaborn,2023-01-02 17:36:07.692,10266.0,9285535.0,9363537.0,https://anaconda.org/conda-forge/seaborn,2022-12-31 14:43:52.040,6162023.0,,,,,1.0,240.0,,,,,,,,,,,,,,,,,,, +27,Tensorboard,tensorflow/tensorboard,ml-experiments,,https://github.com/tensorflow/tensorboard,https://github.com/tensorflow/tensorboard,Apache-2.0,2017-05-15 20:08:07.000,2023-03-15 21:11:41.000000,2023-03-15 19:11:32,5394.0,91.0,1583,190.0,4478.0,615.0,1176.0,6146,TensorFlows Visualization Toolkit.,296.0,43,True,2023-02-09 23:06:04.060,2.12.0,48.0,tensorboard,conda-forge/tensorboard,,,['tensorflow'],155784.0,153174.0,https://pypi.org/project/tensorboard,2023-01-13 22:24:05.115,2610.0,18683439.0,18742598.0,https://anaconda.org/conda-forge/tensorboard,2023-02-13 14:15:05.263,3786221.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +28,spaCy,explosion/spaCy,nlp,,https://github.com/explosion/spaCy,https://github.com/explosion/spaCy,MIT,2014-07-03 15:15:40.000,2023-03-16 08:15:09.000000,2023-03-14 21:02:49,15855.0,110.0,4045,550.0,3664.0,99.0,5295.0,25507,Industrial-strength Natural Language Processing (NLP) in Python.,718.0,42,True,2023-03-10 09:02:56.000,3.5.1,212.0,spacy,conda-forge/spacy,,,,2615.0,,https://pypi.org/project/spacy,2023-01-20 09:51:09.566,2615.0,5169703.0,5210348.0,https://anaconda.org/conda-forge/spacy,2023-03-13 22:57:38.972,2967096.0,,,,,1.0,,,-2.0,,,,,,,,,,,,,,,,, +29,pytorch-lightning,Lightning-AI/lightning,ml-frameworks,,https://github.com/Lightning-AI/lightning,https://github.com/Lightning-AI/lightning,Apache-2.0,2019-03-31 00:45:57.000,2023-03-16 12:39:24.000000,2023-03-16 12:39:23,9006.0,638.0,2775,229.0,8623.0,661.0,5320.0,21942,"Deep learning framework to train, deploy, and ship AI products Lightning fast.",838.0,42,True,2023-03-15 14:16:28.938,2.0.0,245.0,pytorch-lightning,conda-forge/pytorch-lightning,,,['pytorch'],586.0,,https://pypi.org/project/pytorch-lightning,2023-01-18 02:35:00.780,586.0,4034898.0,4057358.0,https://anaconda.org/conda-forge/pytorch-lightning,2023-03-15 16:17:00.434,728373.0,,,,,2.0,10908.0,,,,,,,,,,,,,,,,,,, +30,PaddlePaddle,PaddlePaddle/Paddle,ml-frameworks,,https://github.com/PaddlePaddle/Paddle,https://github.com/PaddlePaddle/Paddle,Apache-2.0,2016-08-15 06:59:08.000,2023-03-16 14:16:44.000000,2023-03-16 12:06:10,40557.0,1413.0,5022,732.0,35310.0,1966.0,15283.0,19809,PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice &.,970.0,42,True,2023-02-17 11:58:01.010,2.4.2,60.0,paddlepaddle,,,,['paddle'],279.0,209.0,https://pypi.org/project/paddlepaddle,2023-02-17 11:58:01.010,70.0,95310.0,95504.0,,,,,,,,2.0,15341.0,,,,,,,,,,,,,,,,,,, +31,torchvision,pytorch/vision,image,,https://github.com/pytorch/vision,https://github.com/pytorch/vision,BSD-3-Clause,2016-11-09 23:11:43.000,2023-03-16 11:36:33.000000,2023-03-16 11:36:33,3422.0,187.0,6570,387.0,4643.0,885.0,2073.0,13499,"Datasets, Transforms and Models specific to Computer Vision.",521.0,42,True,2023-03-15 19:37:56.000,0.15.1,36.0,torchvision,conda-forge/torchvision,,,['pytorch'],4140.0,,https://pypi.org/project/torchvision,2022-12-15 20:19:32.655,4140.0,5986492.0,5995699.0,https://anaconda.org/conda-forge/torchvision,2023-03-09 00:59:08.061,561812.0,,,,,1.0,20594.0,,,,,,,,,,,,,,,,,,, +32,Plotly,plotly/plotly.py,data-viz,,https://github.com/plotly/plotly.py,https://github.com/plotly/plotly.py,MIT,2013-11-21 05:53:08.000,2023-03-16 13:55:16.000000,2023-03-06 02:02:45,5794.0,115.0,2308,275.0,1469.0,1318.0,1287.0,13093,The interactive graphing library for Python This project now includes Plotly Express!.,220.0,42,True,2023-02-24 16:34:40.000,5.13.1,287.0,plotly,conda-forge/plotly,,,,4666.0,18.0,https://pypi.org/project/plotly,2023-01-23 19:05:16.751,4642.0,8090724.0,8186113.0,https://anaconda.org/conda-forge/plotly,2023-02-24 20:56:07.021,3884095.0,,,,,1.0,,,,plotlywidget,https://www.npmjs.com/package/plotlywidget,2021-01-12 16:09:46.133,6.0,46224.0,,,,,,,,,,,, +33,pydeck,visgl/deck.gl,geospatial-data,,https://github.com/visgl/deck.gl,https://github.com/visgl/deck.gl,MIT,2015-12-15 08:38:29.000,2023-03-16 12:52:39.000000,2023-03-16 00:20:53,4398.0,125.0,1946,1718.0,4198.0,198.0,2449.0,10687,WebGL2 powered visualization framework.,220.0,42,True,2023-03-16 00:33:46.936,8.9.3,584.0,pydeck,conda-forge/pydeck,,,['jupyter'],6007.0,5535.0,https://pypi.org/project/pydeck,2022-11-04 14:23:59.154,38.0,1186709.0,1625786.0,https://anaconda.org/conda-forge/pydeck,2022-11-04 19:21:00.914,310998.0,,,,,1.0,,,,deck.gl,https://www.npmjs.com/package/deck.gl,2023-03-16 00:33:46.936,434.0,430672.0,,,,,,,,,,,, +34,Catboost,catboost/catboost,ml-frameworks,,https://github.com/catboost/catboost,https://github.com/catboost/catboost,Apache-2.0,2017-07-18 05:29:04.000,2023-03-16 12:40:35.000000,2023-03-16 10:59:59,45493.0,19155.0,1095,192.0,328.0,503.0,1527.0,7004,"A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification,..",1078.0,42,True,2022-11-01 19:55:14.000,1.1.1,105.0,catboost,conda-forge/catboost,,,,288.0,,https://pypi.org/project/catboost,2022-11-01 14:25:39.961,288.0,1912549.0,1935991.0,https://anaconda.org/conda-forge/catboost,2023-01-30 08:58:16.542,1246144.0,,,,,2.0,129184.0,,,,,,,,,,,,,,,,,,, +35,Streamlit,streamlit/streamlit,others,,https://github.com/streamlit/streamlit,https://github.com/streamlit/streamlit,Apache-2.0,2019-08-24 00:14:52.000,2023-03-16 13:55:36.000000,2023-03-16 13:55:35,5359.0,201.0,2060,287.0,3097.0,630.0,2525.0,23277,Streamlit The fastest way to build data apps in Python.,171.0,41,True,2023-03-09 21:00:47.459,1.20.0,197.0,streamlit,,,,,1322.0,628.0,https://pypi.org/project/streamlit,2023-01-12 20:46:01.810,694.0,1435494.0,1435494.0,,,,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,, +36,Rasa,RasaHQ/rasa,nlp,,https://github.com/RasaHQ/rasa,https://github.com/RasaHQ/rasa,Apache-2.0,2016-10-14 12:27:49.000,2023-03-16 12:29:13.000000,2023-03-16 11:48:30,31295.0,273.0,4258,346.0,5473.0,111.0,6640.0,15813,"Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management,..",578.0,41,True,2023-03-09 17:14:01.168,3.4.5,298.0,rasa,,,,['tensorflow'],3175.0,3110.0,https://pypi.org/project/rasa,2023-01-27 12:09:01.783,65.0,140825.0,140825.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +37,onnx,onnx/onnx,model-serialisation,,https://github.com/onnx/onnx,https://github.com/onnx/onnx,Apache-2.0,2017-09-07 04:53:45.000,2023-03-16 14:41:11.000000,2023-03-16 06:05:10,2242.0,125.0,3373,431.0,2612.0,366.0,1959.0,14253,Open standard for machine learning interoperability.,270.0,41,True,2023-02-22 18:47:36.000,1.13.1,28.0,onnx,conda-forge/onnx,,,,14014.0,13535.0,https://pypi.org/project/onnx,2022-12-12 13:26:02.139,479.0,2692034.0,2702729.0,https://anaconda.org/conda-forge/onnx,2022-12-15 14:09:08.911,666278.0,,,,,1.0,18544.0,,,,,,,,,,,,,,,,,,, +38,gensim,RaRe-Technologies/gensim,nlp,,https://github.com/RaRe-Technologies/gensim,https://github.com/RaRe-Technologies/gensim,LGPL-2.1,2011-02-10 07:43:04.000,2023-03-14 16:25:04.000000,2023-03-13 05:30:56,4444.0,37.0,4329,431.0,1661.0,390.0,1431.0,14066,Topic Modelling for Humans.,445.0,41,True,2023-03-10 06:20:03.685,4.3.1,92.0,gensim,conda-forge/gensim,,,,46085.0,43032.0,https://pypi.org/project/gensim,2022-12-21 00:21:03.066,3053.0,4536416.0,4551557.0,https://anaconda.org/conda-forge/gensim,2022-12-21 13:44:44.543,996164.0,,,,,1.0,4273.0,,,,,,,,,,,,,,,,,,, +39,mlflow,mlflow/mlflow,ml-experiments,,https://github.com/mlflow/mlflow,https://github.com/mlflow/mlflow,Apache-2.0,2018-06-05 16:05:58.000,2023-03-16 07:42:38.000000,2023-03-16 07:42:38,3817.0,239.0,3241,288.0,5114.0,1039.0,1887.0,13855,Open source platform for the machine learning lifecycle.,556.0,41,True,2023-03-15 11:33:07.000,2.2.2,71.0,mlflow,conda-forge/mlflow,,,,422.0,,https://pypi.org/project/mlflow,2023-03-02 21:35:05.751,422.0,10777947.0,10803842.0,https://anaconda.org/conda-forge/mlflow,2023-03-14 15:36:55.590,1217091.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +40,DVC,iterative/dvc,ml-experiments,,https://github.com/iterative/dvc,https://github.com/iterative/dvc,Apache-2.0,2017-03-04 08:16:33.000,2023-03-16 12:05:39.000000,2023-03-16 12:05:38,8555.0,323.0,1037,135.0,4724.0,604.0,3589.0,11214,Data Version Control | Git for Data & Models | ML Experiments Management.,281.0,41,True,2023-03-15 13:21:26.351,2.50.0,418.0,dvc,conda-forge/dvc,,,,6918.0,6832.0,https://pypi.org/project/dvc,2023-03-06 21:00:01.192,86.0,1242303.0,1280156.0,https://anaconda.org/conda-forge/dvc,2023-03-15 04:25:22.792,1433589.0,,,,,1.0,110724.0,,,,,,,,dvc,dvc,dvc,,,,,,,,, +41,Altair,altair-viz/altair,data-viz,,https://github.com/altair-viz/altair,https://github.com/altair-viz/altair,BSD-3-Clause,2015-09-19 03:14:04.000,2023-03-15 23:08:42.000000,2023-03-15 20:44:38,3437.0,109.0,695,147.0,1158.0,253.0,1553.0,8109,Declarative statistical visualization library for Python.,151.0,41,True,2023-01-27 23:10:18.000,4.2.2,31.0,altair,conda-forge/altair,,,,48867.0,48322.0,https://pypi.org/project/altair,2023-03-01 22:49:04.725,545.0,10807892.0,10828617.0,https://anaconda.org/conda-forge/altair,2023-01-31 16:04:09.212,1658041.0,,,,,1.0,19.0,,1.0,,,,,,,,,,,,,,,,, +42,OpenAI Gym,openai/gym,reinforcement-learning,,https://github.com/openai/gym,https://github.com/openai/gym,MIT,2016-04-27 14:59:16.000,2023-03-10 03:21:45.000000,2023-01-30 18:15:21,1757.0,2.0,8290,1011.0,1439.0,46.0,1706.0,30392,A toolkit for developing and comparing reinforcement learning algorithms.,384.0,40,True,2022-10-04 23:58:42.348,0.26.2,107.0,gym,conda-forge/gym,,,,41714.0,39078.0,https://pypi.org/project/gym,2022-10-04 23:58:42.348,2636.0,680565.0,686362.0,https://anaconda.org/conda-forge/gym,2023-01-26 10:09:31.076,202899.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +43,Fastai,fastai/fastai,ml-frameworks,,https://github.com/fastai/fastai,https://github.com/fastai/fastai,Apache-2.0,2017-09-09 17:43:36.000,2023-03-16 11:37:53.000000,2023-03-16 02:02:56,2649.0,48.0,7354,615.0,2172.0,142.0,1570.0,23542,The fastai deep learning library.,652.0,40,True,2023-02-15 02:49:01.880,2.7.11,145.0,fastai,,,,['pytorch'],13058.0,12732.0,https://pypi.org/project/fastai,2023-02-15 02:49:01.880,326.0,390074.0,390074.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +44,MXNet,apache/incubator-mxnet,ml-frameworks,,https://github.com/apache/mxnet,https://github.com/apache/mxnet,Apache-2.0,2015-04-30 16:21:15.000,2023-02-28 18:34:39.000000,2023-01-26 21:28:45,11896.0,3.0,6874,1086.0,11110.0,1791.0,7758.0,20309,"Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler;..",981.0,40,True,2022-10-24 07:38:03.000,1.9.1,983.0,mxnet,mxnet,,,['mxnet'],6462.0,6164.0,https://pypi.org/project/mxnet,2022-05-17 21:11:13.000,293.0,516084.0,516542.0,https://anaconda.org/anaconda/mxnet,2022-10-24 17:53:36.312,9043.0,,,,,2.0,25837.0,,,,,,,,,,,apache/mxnet,5.0,,,,,,, +45,dash,plotly/dash,data-viz,,https://github.com/plotly/dash,https://github.com/plotly/dash,MIT,2015-04-10 01:53:08.000,2023-03-16 14:57:41.000000,2023-03-16 13:58:12,6702.0,166.0,1852,411.0,910.0,718.0,773.0,18298,Data Apps & Dashboards for Python. No JavaScript Required.,133.0,40,True,2023-03-16 14:59:15.000,2.9.0,160.0,dash,conda-forge/dash,,,,44331.0,42993.0,https://pypi.org/project/dash,2023-01-30 17:00:04.941,1338.0,1307134.0,1321939.0,https://anaconda.org/conda-forge/dash,2023-01-31 14:16:53.350,858718.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +46,flair,flairNLP/flair,nlp,,https://github.com/flairNLP/flair,https://github.com/flairNLP/flair,MIT,2018-06-11 11:04:18.000,2023-03-16 09:28:08.000000,2023-03-14 11:14:58,5261.0,332.0,2000,202.0,1071.0,73.0,2015.0,12570,A very simple framework for state-of-the-art Natural Language Processing (NLP).,242.0,40,True,2023-03-10 15:32:35.000,0.12.1,29.0,flair,conda-forge/python-flair,,,['pytorch'],2398.0,2308.0,https://pypi.org/project/flair,2022-05-20 04:39:30.000,90.0,91094.0,91595.0,https://anaconda.org/conda-forge/python-flair,2022-05-21 19:10:11.815,16056.0,,,,,1.0,,,1.0,,,,,,,,,,,,,,,,, +47,Optuna,optuna/optuna,hyperopt,,https://github.com/optuna/optuna,https://github.com/optuna/optuna,MIT,2018-02-21 06:12:56.000,2023-03-16 08:52:51.000000,2023-03-16 08:47:50,15238.0,458.0,813,121.0,2995.0,125.0,1281.0,7760,A hyperparameter optimization framework.,229.0,40,True,2023-03-09 07:15:41.046,3.0.6,57.0,optuna,conda-forge/optuna,,,,7198.0,6867.0,https://pypi.org/project/optuna,2023-01-18 05:41:08.855,331.0,1722626.0,1732761.0,https://anaconda.org/conda-forge/optuna,2023-01-20 01:30:36.315,405416.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +48,dask.distributed,dask/distributed,distributed-ml,,https://github.com/dask/distributed,https://github.com/dask/distributed,BSD-3-Clause,2015-09-13 18:42:29.000,2023-03-16 13:52:37.000000,2023-03-15 18:15:12,5219.0,130.0,678,61.0,4374.0,1356.0,2116.0,1448,A distributed task scheduler for Dask.,309.0,40,True,2023-03-10 21:25:45.504,2023.3.1,197.0,distributed,conda-forge/distributed,,,,28900.0,27653.0,https://pypi.org/project/distributed,2023-01-27 23:28:03.605,1247.0,4801953.0,4921653.0,https://anaconda.org/conda-forge/distributed,2023-03-10 22:18:02.118,9815416.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +49,PyTorch Image Models,rwightman/pytorch-image-models,image,,https://github.com/huggingface/pytorch-image-models,https://github.com/huggingface/pytorch-image-models,Apache-2.0,2019-02-02 05:51:12.000,2023-03-16 09:54:44.000000,2023-03-13 22:27:03,1758.0,113.0,3967,296.0,325.0,68.0,610.0,24124,"PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision..",96.0,39,True,2022-11-23 22:11:26.000,0.6.12,41.0,timm,conda-forge/timm,,,['pytorch'],8870.0,8670.0,https://pypi.org/project/timm,2023-01-12 05:36:03.120,200.0,2890840.0,2967383.0,https://anaconda.org/conda-forge/timm,2022-11-24 16:33:10.061,53701.0,,,,,1.0,3443835.0,,,,,,,,,,,huggingface/pytorch-image-models,,,,,,,, +50,MMDetection,open-mmlab/mmdetection,image,,https://github.com/open-mmlab/mmdetection,https://github.com/open-mmlab/mmdetection,Apache-2.0,2018-08-22 07:06:06.000,2023-03-16 12:30:05.000000,2023-02-28 02:17:10,2198.0,32.0,8428,365.0,2782.0,648.0,6207.0,23343,OpenMMLab Detection Toolbox and Benchmark.,391.0,39,True,2023-02-28 02:28:00.644,2.28.2,49.0,mmdet,,,,['pytorch'],1045.0,1022.0,https://pypi.org/project/mmdet,2022-06-01 16:40:25.000,23.0,120089.0,120089.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +51,Jina,jina-ai/jina,ml-frameworks,,https://github.com/jina-ai/jina,https://github.com/jina-ai/jina,Apache-2.0,2020-02-13 17:04:44.000,2023-03-16 14:18:46.000000,2023-03-15 10:53:58,8240.0,128.0,2053,193.0,3889.0,45.0,1790.0,17776,Build multimodal AI services via cloud native technologies Neural Search Generative AI Cloud Native.,165.0,39,True,2023-02-24 10:22:26.000,3.14.1,2283.0,jina,conda-forge/jina-core,jinaai/jina,,,468.0,462.0,https://pypi.org/project/jina,2022-07-06 04:21:41.000,6.0,56696.0,91455.0,https://anaconda.org/conda-forge/jina-core,2022-08-16 02:48:28.481,38247.0,https://hub.docker.com/r/jinaai/jina,2023-03-15 13:08:34.071734,8.0,1207523.0,2.0,,,,,,,,,,,,,,,,,,,, +52,Gradio,gradio-app/gradio,others,,https://github.com/gradio-app/gradio,https://github.com/gradio-app/gradio,Apache-2.0,2018-12-19 08:24:04.000,2023-03-16 14:56:48.000000,2023-03-15 23:45:45,4873.0,242.0,910,106.0,1489.0,231.0,1501.0,13924,"Wrap UIs around any model, share with anyone.",139.0,39,True,2023-03-14 01:14:01.168,3.21.0,445.0,gradio,,,,,4034.0,3962.0,https://pypi.org/project/gradio,2023-02-20 00:20:01.258,72.0,2393714.0,2393714.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +53,yfinance,ranaroussi/yfinance,financial-data,,https://github.com/ranaroussi/yfinance,https://github.com/ranaroussi/yfinance,Apache-2.0,2017-05-21 10:16:15.000,2023-03-15 00:03:59.000000,2023-03-09 22:04:58,847.0,136.0,1821,223.0,382.0,220.0,816.0,9130,Download market data from Yahoo! Finances API.,76.0,39,True,2023-02-16 12:05:01.836,0.2.12,77.0,yfinance,ranaroussi/yfinance,,,,20686.0,20493.0,https://pypi.org/project/yfinance,2022-06-16 15:33:16.000,193.0,735270.0,738919.0,https://anaconda.org/ranaroussi/yfinance,2021-07-10 20:29:09.532,72994.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +54,PyMC3,pymc-devs/pymc,probabilistics,,https://github.com/pymc-devs/pymc,https://github.com/pymc-devs/pymc,Apache-2.0,2009-05-05 09:43:50.000,2023-03-16 13:35:28.000000,2023-03-16 13:14:02,9440.0,130.0,1752,229.0,3522.0,189.0,2816.0,7393,Bayesian Modeling in Python.,444.0,39,True,2023-03-13 20:59:15.000,5.1.2,56.0,pymc3,conda-forge/pymc3,,,,1497.0,1249.0,https://pypi.org/project/pymc3,2022-03-15 10:10:19.000,248.0,298025.0,304479.0,https://anaconda.org/conda-forge/pymc3,2022-05-20 12:40:09.903,495606.0,,,,,1.0,1905.0,,,,,,,,,,,,,,,,,,, +55,folium,python-visualization/folium,geospatial-data,,https://github.com/python-visualization/folium,https://github.com/python-visualization/folium,MIT,2013-05-09 04:21:35.000,2023-03-16 08:56:19.000000,2023-03-16 08:56:10,1655.0,35.0,2176,164.0,744.0,52.0,944.0,6130,Python Data. Leaflet.js Maps.,150.0,39,True,2022-12-12 20:39:34.303,0.14.0,28.0,folium,conda-forge/folium,,,,23393.0,22671.0,https://pypi.org/project/folium,2022-12-12 20:39:34.303,722.0,893046.0,913994.0,https://anaconda.org/conda-forge/folium,2022-12-13 18:33:58.037,1759665.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +56,wandb client,wandb/client,ml-experiments,,https://github.com/wandb/wandb,https://github.com/wandb/wandb,MIT,2017-03-24 05:46:23.000,2023-03-16 10:52:47.000000,2023-03-15 19:50:41,5173.0,239.0,447,46.0,2847.0,516.0,1808.0,5644,A tool for visualizing and tracking your machine learning experiments. This repo contains the CLI and Python API.,139.0,39,True,2023-03-14 22:58:13.000,0.14.0,248.0,wandb,conda-forge/wandb,,,,19585.0,19185.0,https://pypi.org/project/wandb,2023-03-07 21:24:03.627,400.0,2062000.0,2067500.0,https://anaconda.org/conda-forge/wandb,2023-03-15 01:24:50.365,176024.0,,,,,1.0,,,,,,,,,,,,wandb/wandb,,,,,,,, +57,shap,slundberg/shap,interpretability,,https://github.com/slundberg/shap,https://github.com/slundberg/shap,MIT,2016-11-22 19:17:08.000,2023-03-15 05:49:07.000000,2022-06-16 14:46:20,2277.0,,2759,261.0,512.0,1539.0,630.0,18779,A game theoretic approach to explain the output of any machine learning model.,205.0,38,True,2022-06-16 00:43:28.000,0.41.0,96.0,shap,conda-forge/shap,,,,10301.0,10004.0,https://pypi.org/project/shap,2022-06-16 00:43:28.000,297.0,6984930.0,7018051.0,https://anaconda.org/conda-forge/shap,2022-06-20 09:35:07.854,1821679.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +58,PyTorch Geometric,pyg-team/pytorch_geometric,graph,,https://github.com/pyg-team/pytorch_geometric,https://github.com/pyg-team/pytorch_geometric,MIT,2017-10-06 16:03:03.000,2023-03-16 14:28:17.000000,2023-03-16 12:02:36,6467.0,356.0,3139,250.0,1784.0,730.0,2298.0,17059,Graph Neural Network Library for PyTorch.,385.0,38,True,2022-12-01 07:31:52.000,2.2.0,37.0,torch-geometric,conda-forge/pytorch_geometric,,,['pytorch'],69.0,,https://pypi.org/project/torch-geometric,2022-12-01 06:49:00.984,69.0,149128.0,149678.0,https://anaconda.org/conda-forge/pytorch_geometric,2023-01-04 22:19:58.105,17610.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +59,Milvus,milvus-io/milvus,nn-search,,https://github.com/milvus-io/milvus,https://github.com/milvus-io/milvus,Apache-2.0,2019-09-16 06:43:43.000,2023-03-16 14:53:59.000000,2023-03-16 14:53:58,16689.0,431.0,1962,308.0,14478.0,354.0,6917.0,15397,Vector database for scalable similarity search and AI applications.,234.0,38,True,2023-02-10 11:29:35.000,2.2.3,100.0,pymilvus,,milvusdb/milvus,,,22.0,,https://pypi.org/project/pymilvus,2022-12-15 08:27:00.978,22.0,294615.0,368912.0,,,,https://hub.docker.com/r/milvusdb/milvus,2023-03-16 10:29:40.372881,25.0,3002692.0,1.0,33661.0,,,,,,,,,,,,,,,,,,, +60,horovod,horovod/horovod,distributed-ml,,https://github.com/horovod/horovod,https://github.com/horovod/horovod,Apache-2.0,2017-08-09 19:39:59.000,2023-03-15 17:42:17.000000,2023-02-23 15:25:58,1300.0,24.0,2150,330.0,1529.0,338.0,1806.0,13110,"Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.",164.0,38,True,2023-02-01 18:05:00.771,0.27.0,75.0,horovod,,,,,864.0,834.0,https://pypi.org/project/horovod,2022-06-21 09:28:07.000,30.0,97128.0,97128.0,,,,,,,,1.0,,stable/horovod,,,,,,,,,,,,,,,,,, +61,dlib,davisking/dlib,ml-frameworks,,https://github.com/davisking/dlib,https://github.com/davisking/dlib,BSL-1.0,2014-01-29 00:45:33.000,2023-03-15 00:05:18.000000,2023-03-15 00:05:18,8156.0,19.0,3188,475.0,615.0,36.0,2081.0,11805,A toolkit for making real world machine learning and data analysis applications in C++.,183.0,38,False,2022-05-08 14:48:09.000,19.24,32.0,dlib,conda-forge/dlib,,,,19212.0,18430.0,https://pypi.org/project/dlib,2022-05-08 14:40:14.000,782.0,145458.0,152673.0,https://anaconda.org/conda-forge/dlib,2023-03-09 06:01:44.240,541785.0,,,,,2.0,25179.0,,,,,,,,,,,,,,,,,,, +62,MoviePy,Zulko/moviepy,image,,https://github.com/Zulko/moviepy,https://github.com/Zulko/moviepy,MIT,2013-08-12 09:39:28.000,2023-03-15 09:56:12.000000,2023-02-22 02:30:41,1088.0,4.0,1349,244.0,632.0,312.0,990.0,10200,Video editing with Python.,155.0,38,True,2020-05-07 16:29:35.000,1.0.3,85.0,moviepy,conda-forge/moviepy,,,,23411.0,22555.0,https://pypi.org/project/moviepy,2020-10-05 00:26:29.000,856.0,3524385.0,3526764.0,https://anaconda.org/conda-forge/moviepy,2022-10-07 16:36:43.237,161781.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +63,DeepSpeed,microsoft/DeepSpeed,distributed-ml,,https://github.com/microsoft/DeepSpeed,https://github.com/microsoft/DeepSpeed,MIT,2020-01-23 18:35:18.000,2023-03-16 14:32:53.000000,2023-03-15 21:16:26,1381.0,124.0,1125,150.0,1583.0,689.0,741.0,9488,"DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and..",165.0,38,True,2023-03-07 18:19:58.000,0.8.2,60.0,deepspeed,,deepspeed/deepspeed,,['pytorch'],1018.0,987.0,https://pypi.org/project/deepspeed,2023-01-17 18:45:01.408,31.0,377988.0,378398.0,,,,https://hub.docker.com/r/deepspeed/deepspeed,2022-09-02 00:25:31.275782,3.0,15592.0,1.0,,,,,,,,,,,,,,,,,,,, +64,CuPy,cupy/cupy,gpu-utilities,,https://github.com/cupy/cupy,https://github.com/cupy/cupy,MIT,2016-11-01 09:54:45.000,2023-03-16 04:27:54.000000,2023-03-11 05:55:54,26674.0,310.0,674,129.0,5567.0,479.0,1482.0,6758,NumPy & SciPy for GPU.,331.0,38,True,2023-03-02 07:51:35.000,11.6.0,131.0,cupy,conda-forge/cupy,cupy/cupy,,,1704.0,1526.0,https://pypi.org/project/cupy,2023-01-19 07:50:52.374,178.0,21677.0,82918.0,https://anaconda.org/conda-forge/cupy,2023-03-03 20:37:47.951,2431712.0,https://hub.docker.com/r/cupy/cupy,2023-03-02 08:00:43.651195,10.0,56247.0,1.0,65534.0,,,,,,,,,,,,,,,,,,, +65,GeoPandas,geopandas/geopandas,geospatial-data,,https://github.com/geopandas/geopandas,https://github.com/geopandas/geopandas,BSD-3-Clause,2013-06-27 17:03:47.000,2023-03-15 08:20:54.000000,2023-03-14 10:44:20,1714.0,46.0,798,107.0,1340.0,412.0,1090.0,3587,Python tools for geographic data.,191.0,38,True,2022-12-10 18:41:03.313,0.12.2,45.0,geopandas,conda-forge/geopandas,,,['pandas'],21625.0,20189.0,https://pypi.org/project/geopandas,2022-12-10 18:41:03.313,1436.0,3006254.0,3037352.0,https://anaconda.org/conda-forge/geopandas,2022-12-10 19:00:54.177,2610420.0,,,,,1.0,1765.0,,,,,,,,,,,,,,,,,,, +66,MNE,mne-tools/mne-python,medical-data,,https://github.com/mne-tools/mne-python,https://github.com/mne-tools/mne-python,BSD-3-Clause,2011-01-28 03:31:13.000,2023-03-16 14:13:23.000000,2023-03-15 16:49:59,17333.0,81.0,1160,85.0,7149.0,485.0,3948.0,2173,MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python.,333.0,38,True,2023-02-23 20:21:01.277,1.3.1,70.0,mne,conda-forge/mne,,,,2666.0,2415.0,https://pypi.org/project/mne,2022-12-22 16:38:01.174,251.0,64398.0,68118.0,https://anaconda.org/conda-forge/mne,2023-02-24 00:00:03.164,271621.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +67,Rasterio,rasterio/rasterio,geospatial-data,,https://github.com/rasterio/rasterio,https://github.com/rasterio/rasterio,BSD-3-Clause,2013-11-04 16:36:27.000,2023-03-14 10:32:51.000000,2023-03-11 02:50:36,3700.0,48.0,509,151.0,1048.0,142.0,1520.0,1898,Rasterio reads and writes geospatial raster datasets.,142.0,38,True,2023-02-13 17:19:13.000,1.3.6,148.0,rasterio,conda-forge/rasterio,,,,7915.0,7013.0,https://pypi.org/project/rasterio,2023-02-13 17:19:04.179,902.0,875427.0,900853.0,https://anaconda.org/conda-forge/rasterio,2023-02-26 23:45:44.228,2135184.0,,,,,1.0,774.0,,,,,,,,,,,,,,,,,,, +68,SageMaker SDK,aws/sagemaker-python-sdk,ml-experiments,,https://github.com/aws/sagemaker-python-sdk,https://github.com/aws/sagemaker-python-sdk,Apache-2.0,2017-11-14 01:03:33.000,2023-03-16 05:16:39.000000,2023-03-15 19:58:49,2930.0,175.0,943,135.0,2362.0,469.0,772.0,1798,A library for training and deploying machine learning models on Amazon SageMaker.,340.0,38,True,2023-03-15 15:35:01.101,2.139.0,488.0,sagemaker,conda-forge/sagemaker-python-sdk,,,"['mxnet', 'tensorflow']",2446.0,2377.0,https://pypi.org/project/sagemaker,2023-01-31 01:06:02.086,69.0,28888440.0,28901588.0,https://anaconda.org/conda-forge/sagemaker-python-sdk,2022-11-03 16:48:39.476,525936.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +69,imageio,imageio/imageio,image,,https://github.com/imageio/imageio,https://github.com/imageio/imageio,BSD-2-Clause,2013-05-04 22:56:45.000,2023-03-13 08:04:18.000000,2023-03-13 08:04:18,1460.0,19.0,246,32.0,432.0,85.0,454.0,1208,Python library for reading and writing image data.,98.0,38,True,2023-02-27 03:00:04.191,2.26.0,73.0,imageio,conda-forge/imageio,,,,86317.0,83465.0,https://pypi.org/project/imageio,2023-01-23 02:51:38.269,2852.0,17023241.0,17084238.0,https://anaconda.org/conda-forge/imageio,2023-02-27 14:24:17.391,4513045.0,,,,,1.0,524.0,,,,,,,,,,,,,,,,,,, +70,PyFlink,apache/flink,ml-frameworks,,https://github.com/apache/flink,https://github.com/apache/flink,Apache-2.0,2014-06-07 07:00:10.000,2023-03-16 13:59:43.000000,2023-03-16 09:49:04,32992.0,566.0,11613,948.0,22183.0,974.0,,20850,Apache Flink Python API.,1700.0,37,True,2023-01-30 13:31:02.158,1.16.1,39.0,apache-flink,,,,,22.0,,https://pypi.org/project/apache-flink,2023-01-30 13:31:02.158,22.0,62770.0,62770.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +71,Faiss,facebookresearch/faiss,nn-search,,https://github.com/facebookresearch/faiss,https://github.com/facebookresearch/faiss,MIT,2017-02-07 16:07:05.000,2023-03-16 10:36:30.000000,2023-03-14 18:11:50,763.0,57.0,2827,448.0,672.0,303.0,1748.0,19694,A library for efficient similarity search and clustering of dense vectors.,126.0,37,True,2023-02-10 09:46:34.864,2.2.2,68.0,pymilvus,conda-forge/faiss,,,,960.0,938.0,https://pypi.org/project/pymilvus,2022-12-15 08:27:00.978,22.0,294615.0,314226.0,https://anaconda.org/conda-forge/faiss,2023-01-10 05:31:46.982,666780.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +72,pyecharts,pyecharts/pyecharts,data-viz,,https://github.com/pyecharts/pyecharts,https://github.com/pyecharts/pyecharts,MIT,2017-06-22 02:50:25.000,2023-03-16 09:29:42.000000,2023-02-28 01:38:13,1594.0,33.0,2767,382.0,449.0,4.0,1686.0,13298,Python Echarts Plotting Library.,38.0,37,True,2023-02-28 01:51:14.000,2.0.2,70.0,pyecharts,,,https://github.com/pyecharts/pyecharts/blob/master/README.en.md,['jupyter'],3135.0,2902.0,https://pypi.org/project/pyecharts,2023-01-09 20:22:33.734,233.0,113796.0,113796.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +73,dgl,dmlc/dgl,graph,,https://github.com/dmlc/dgl,https://github.com/dmlc/dgl,Apache-2.0,2018-04-20 14:49:09.000,2023-03-16 05:10:17.000000,2023-03-16 03:01:02,2934.0,257.0,2720,172.0,3363.0,368.0,1825.0,11345,"Python package built to ease deep learning on graph, on top of existing DL frameworks.",256.0,37,True,2023-02-22 02:19:06.065,1.0.1,443.0,dgl,,,,,128.0,65.0,https://pypi.org/project/dgl,2022-09-20 03:47:24.680,63.0,46206.0,46206.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +74,Theano,Theano/Theano,ml-frameworks,,https://github.com/Theano/Theano,https://github.com/Theano/Theano,BSD-3-Clause,2011-08-10 03:48:06.000,2022-12-20 16:49:55.000000,2022-12-20 16:49:55,28132.0,3.0,2511,550.0,4116.0,685.0,2086.0,9682,"Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving..",386.0,37,True,2020-07-27 16:13:54.000,1.0.5,45.0,theano,conda-forge/theano,,,,16442.0,13604.0,https://pypi.org/project/theano,2020-07-27 16:13:54.000,2838.0,237827.0,266716.0,https://anaconda.org/conda-forge/theano,2022-03-16 06:30:00.008,2311189.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +75,Vowpal Wabbit,VowpalWabbit/vowpal_wabbit,ml-frameworks,,https://github.com/VowpalWabbit/vowpal_wabbit,https://github.com/VowpalWabbit/vowpal_wabbit,BSD-3-Clause,2009-07-31 19:36:58.000,2023-03-15 20:05:48.000000,2023-03-15 16:25:55,10326.0,143.0,1851,352.0,3297.0,135.0,1108.0,8159,Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as..,328.0,37,True,2023-03-15 21:02:03.563,9.8.0,28.0,vowpalwabbit,conda-forge/vowpalwabbit,,,,32.0,,https://pypi.org/project/vowpalwabbit,2022-11-09 15:43:07.686,32.0,92981.0,95340.0,https://anaconda.org/conda-forge/vowpalwabbit,2023-03-15 10:43:24.558,103803.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +76,sktime,alan-turing-institute/sktime,time-series-data,,https://github.com/sktime/sktime,https://github.com/sktime/sktime,BSD-3-Clause,2018-11-06 15:08:24.000,2023-03-16 14:17:01.000000,2023-03-15 21:54:08,3419.0,232.0,1043,109.0,2440.0,541.0,1069.0,6260,A unified framework for machine learning with time series.,238.0,37,True,2023-02-14 04:08:00.828,0.16.1,39.0,sktime,conda-forge/sktime-all-extras,,,['sklearn'],1011.0,975.0,https://pypi.org/project/sktime,2023-01-30 10:01:15.197,36.0,537199.0,551312.0,https://anaconda.org/conda-forge/sktime-all-extras,2023-02-24 01:52:16.266,282259.0,,,,,1.0,78.0,,,,,,,,,,,sktime/sktime,,,,,,,, +77,Flax,google/flax,ml-frameworks,,https://github.com/google/flax,https://github.com/google/flax,Apache-2.0,2020-01-10 09:48:37.000,2023-03-16 08:47:43.339000,2023-03-16 07:14:26,3481.0,212.0,486,76.0,1716.0,129.0,584.0,4116,Flax is a neural network library for JAX that is designed for flexibility.,189.0,37,True,2023-03-10 01:43:00.994,0.6.7,30.0,flax,conda-forge/flax,,,['jax'],2659.0,2521.0,https://pypi.org/project/flax,2023-01-26 23:02:02.576,138.0,527990.0,528848.0,https://anaconda.org/conda-forge/flax,2023-03-16 08:47:43.339,20581.0,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,, +78,tensorflow-probability,tensorflow/probability,probabilistics,,https://github.com/tensorflow/probability,https://github.com/tensorflow/probability,Apache-2.0,2017-10-23 23:50:54.000,2023-03-16 14:46:56.000000,2023-03-16 14:46:54,11829.0,88.0,1058,173.0,438.0,620.0,715.0,3869,Probabilistic reasoning and statistical analysis in TensorFlow.,470.0,37,True,2022-12-06 22:34:10.000,0.19.0,45.0,tensorflow-probability,conda-forge/tensorflow-probability,,,['tensorflow'],392.0,,https://pypi.org/project/tensorflow-probability,2022-12-06 22:30:03.065,392.0,744848.0,746791.0,https://anaconda.org/conda-forge/tensorflow-probability,2023-02-16 21:27:29.767,95233.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +79,TensorFlow Datasets,tensorflow/datasets,tensorflow-utils,,https://github.com/tensorflow/datasets,https://github.com/tensorflow/datasets,Apache-2.0,2018-09-10 21:27:22.000,2023-03-16 14:47:32.000000,2023-03-16 12:08:31,5696.0,231.0,1401,112.0,3746.0,661.0,643.0,3779,"TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...",278.0,37,True,2023-02-27 11:47:02.490,4.8.3,32.0,tensorflow-datasets,conda-forge/tensorflow-datasets,,,['tensorflow'],195.0,,https://pypi.org/project/tensorflow-datasets,2023-01-17 20:43:03.045,195.0,1188148.0,1188816.0,https://anaconda.org/conda-forge/tensorflow-datasets,2023-02-27 19:53:09.423,14708.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +80,tensorflow-hub,tensorflow/hub,tensorflow-utils,,https://github.com/tensorflow/hub,https://github.com/tensorflow/hub,Apache-2.0,2018-03-12 07:55:42.000,2023-03-16 13:25:28.000000,2023-03-16 12:14:48,1135.0,26.0,1698,147.0,207.0,3.0,664.0,3284,A library for transfer learning by reusing parts of TensorFlow models.,102.0,37,True,2023-03-14 19:14:17.000,0.13.0,16.0,tensorflow-hub,conda-forge/tensorflow-hub,,,['tensorflow'],15933.0,15607.0,https://pypi.org/project/tensorflow-hub,2021-04-14 12:54:13.000,326.0,4375854.0,4377204.0,https://anaconda.org/conda-forge/tensorflow-hub,2023-03-15 11:57:45.280,76975.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +81,Shapely,shapely/shapely,geospatial-data,,https://github.com/shapely/shapely,https://github.com/shapely/shapely,BSD-3-Clause,2011-12-31 19:43:11.000,2023-03-15 02:59:52.000000,2023-03-10 14:22:59,2183.0,34.0,515,86.0,707.0,201.0,847.0,3206,Manipulation and analysis of geometric objects.,144.0,37,True,2023-01-30 08:58:01.143,2.0.1,120.0,shapely,conda-forge/shapely,,,,42509.0,41931.0,https://pypi.org/project/shapely,2023-01-30 08:58:01.143,578.0,9864274.0,9930299.0,https://anaconda.org/conda-forge/shapely,2023-01-30 12:28:59.286,5872552.0,,,,,2.0,717.0,,,,,,,,,,,,,,,,,,, +82,jieba,fxsjy/jieba,chinese-nlp,,https://github.com/fxsjy/jieba,https://github.com/fxsjy/jieba,MIT,2012-09-29 07:52:01.000,2022-07-17 00:34:33.000000,2020-02-15 08:33:35,523.0,,6643,1292.0,164.0,655.0,215.0,30123,Chinese Words Segmentation Utilities.,48.0,36,False,2020-01-20 14:27:23.000,0.42.1,32.0,jieba,conda-forge/jieba,,,,22882.0,21266.0,https://pypi.org/project/jieba,2020-01-20 14:27:23.000,1616.0,501275.0,503162.0,https://anaconda.org/conda-forge/jieba,2021-05-30 19:33:02.597,134034.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +83,fairseq,facebookresearch/fairseq,nlp,,https://github.com/facebookresearch/fairseq,https://github.com/facebookresearch/fairseq,MIT,2017-08-29 16:26:12.000,2023-03-15 09:12:29.000000,2023-02-23 21:18:36,2284.0,8.0,5297,361.0,1245.0,928.0,2949.0,21242,Facebook AI Research Sequence-to-Sequence Toolkit written in Python.,413.0,36,True,2022-06-27 19:32:58.000,0.12.2,16.0,fairseq,conda-forge/fairseq,,,['pytorch'],1330.0,1281.0,https://pypi.org/project/fairseq,2022-06-27 19:32:38.000,49.0,75640.0,76409.0,https://anaconda.org/conda-forge/fairseq,2022-07-13 07:08:17.142,24454.0,,,,,1.0,298.0,,-1.0,,,,,,,,,,,,,,,,, +84,Prophet,facebook/prophet,time-series-data,,https://github.com/facebook/prophet,https://github.com/facebook/prophet,MIT,2016-11-16 01:50:08.000,2023-02-28 18:26:38.000000,2023-02-28 18:26:34,760.0,16.0,4381,422.0,406.0,303.0,1661.0,15622,Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear..,163.0,36,True,2023-01-20 11:04:56.000,1.1.2,14.0,fbprophet,conda-forge/prophet,,,,128.0,,https://pypi.org/project/fbprophet,2020-09-05 16:12:50.000,128.0,1523395.0,1541998.0,https://anaconda.org/conda-forge/prophet,2023-01-21 14:54:27.313,427442.0,,,,,1.0,1370.0,,,,,,,,,,,,,,,,,,, +85,ChatterBot,gunthercox/ChatterBot,nlp,,https://github.com/gunthercox/ChatterBot,https://github.com/gunthercox/ChatterBot,BSD-3-Clause,2014-09-28 14:49:00.000,2023-03-13 14:12:28.000000,2021-06-01 10:43:00,1848.0,,4254,552.0,705.0,365.0,1261.0,13015,"ChatterBot is a machine learning, conversational dialog engine for creating chat bots.",103.0,36,False,2020-08-22 18:42:43.000,1.0.8,86.0,chatterbot,,,,,5324.0,4972.0,https://pypi.org/project/chatterbot,2020-08-22 18:40:36.000,352.0,67017.0,67017.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +86,NNI,microsoft/nni,hyperopt,,https://github.com/microsoft/nni,https://github.com/microsoft/nni,MIT,2018-06-01 05:51:44.000,2023-03-16 12:34:50.000000,2023-03-16 09:15:02,2938.0,81.0,1755,282.0,3407.0,275.0,1593.0,12614,"An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural..",188.0,36,True,2022-11-14 10:58:33.000,2.10,52.0,nni,,,,,392.0,355.0,https://pypi.org/project/nni,2022-11-14 11:09:01.154,37.0,16283.0,16283.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +87,AllenNLP,allenai/allennlp,nlp,,https://github.com/allenai/allennlp,https://github.com/allenai/allennlp,Apache-2.0,2017-05-15 15:52:41.000,2022-11-22 23:28:35.000000,2022-11-22 00:42:46,2719.0,,2235,282.0,3096.0,91.0,2477.0,11425,"An open-source NLP research library, built on PyTorch.",265.0,36,True,2022-10-18 23:54:05.191,2.10.1,265.0,allennlp,conda-forge/allennlp,,,['pytorch'],3508.0,3324.0,https://pypi.org/project/allennlp,2022-10-18 23:54:05.191,184.0,58401.0,60344.0,https://anaconda.org/conda-forge/allennlp,2022-07-15 16:42:26.330,99120.0,,,,,1.0,54.0,,,,,,,,,,,,,,,,,,, +88,carla,carla-simulator/carla,others,,https://github.com/carla-simulator/carla,https://github.com/carla-simulator/carla,MIT,2017-10-24 09:06:23.000,2023-03-15 11:42:43.000000,2023-01-24 16:27:46,5833.0,23.0,2800,238.0,1336.0,896.0,3443.0,8949,Open-source simulator for autonomous driving research.,152.0,36,True,2022-12-24 18:31:33.838,0.9.14,25.0,carla,,,,,385.0,380.0,https://pypi.org/project/carla,2022-12-24 18:31:33.838,5.0,19861.0,19861.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +89,PySyft,OpenMined/PySyft,privacy-ml,,https://github.com/OpenMined/PySyft,https://github.com/OpenMined/PySyft,Apache-2.0,2017-07-18 20:41:16.000,2023-03-16 14:52:15.000000,2023-03-16 06:39:35,20116.0,1350.0,1898,207.0,4043.0,140.0,3250.0,8644,data science on data without acquiring a copy.,488.0,36,True,2023-01-20 02:15:49.000,0.7.0,124.0,syft,,,,['pytorch'],5.0,,https://pypi.org/project/syft,2023-01-20 00:37:03.131,5.0,5619.0,5619.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +90,Kornia,kornia/kornia,image,,https://github.com/kornia/kornia,https://github.com/kornia/kornia,Apache-2.0,2018-08-22 10:31:37.000,2023-03-16 07:25:06.000000,2023-03-16 07:08:20,2374.0,114.0,782,119.0,1438.0,224.0,517.0,7879,Open Source Differentiable Computer Vision Library.,210.0,36,True,2023-02-17 20:17:01.726,0.6.10,34.0,kornia,conda-forge/kornia,,,['pytorch'],3432.0,3352.0,https://pypi.org/project/kornia,2022-12-21 21:48:01.308,80.0,2196402.0,2198369.0,https://anaconda.org/conda-forge/kornia,2023-02-28 00:25:53.189,66539.0,,,,,2.0,563.0,,,,,,,,,,,,,,,,,,, +91,PyCaret,pycaret/pycaret,ml-experiments,,https://github.com/pycaret/pycaret,https://github.com/pycaret/pycaret,MIT,2019-11-23 18:40:48.000,2023-03-16 01:07:14.896000,2023-03-13 00:31:01,4670.0,382.0,1577,128.0,860.0,281.0,1696.0,7005,"An open-source, low-code machine learning library in Python.",117.0,36,True,2022-04-10 22:13:37.000,2.3.10,88.0,pycaret,conda-forge/pycaret,,,,3313.0,3299.0,https://pypi.org/project/pycaret,2023-01-09 23:06:25.903,14.0,404086.0,405039.0,https://anaconda.org/conda-forge/pycaret,2023-03-16 01:07:14.896,28954.0,,,,,2.0,637.0,,,,,,,,,,,,,,,,,,, +92,espnet,espnet/espnet,audio,,https://github.com/espnet/espnet,https://github.com/espnet/espnet,Apache-2.0,2017-12-13 00:45:11.000,2023-03-16 13:25:30.000000,2023-03-15 22:51:44,17168.0,787.0,1863,175.0,2841.0,430.0,1678.0,6211,End-to-End Speech Processing Toolkit.,337.0,36,True,2023-02-01 10:50:13.000,.202301,48.0,espnet,,,,,135.0,130.0,https://pypi.org/project/espnet,2022-05-28 02:21:31.000,5.0,18845.0,18846.0,,,,,,,,1.0,77.0,,,,,,,,,,,,,,,,,,, +93,PyQtGraph,pyqtgraph/pyqtgraph,data-viz,,https://github.com/pyqtgraph/pyqtgraph,https://github.com/pyqtgraph/pyqtgraph,MIT,2013-09-12 07:18:21.000,2023-03-13 15:37:22.000000,2023-03-13 15:37:22,3619.0,68.0,993,152.0,1414.0,350.0,810.0,3157,Fast data visualization and GUI tools for scientific / engineering applications.,249.0,36,True,2023-03-04 05:15:50.582,0.13.2,20.0,pyqtgraph,conda-forge/pyqtgraph,,,,899.0,,https://pypi.org/project/pyqtgraph,2022-09-29 04:05:13.139,899.0,117230.0,122206.0,https://anaconda.org/conda-forge/pyqtgraph,2023-03-06 18:40:48.836,368259.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +94,spark-nlp,JohnSnowLabs/spark-nlp,nlp,,https://github.com/JohnSnowLabs/spark-nlp,https://github.com/JohnSnowLabs/spark-nlp,Apache-2.0,2017-09-24 19:36:44.000,2023-03-16 15:03:26.000000,2023-03-16 14:40:17,25966.0,321.0,642,95.0,12743.0,36.0,744.0,3138,State of the Art Natural Language Processing.,136.0,36,True,2023-03-14 19:54:57.000,4.3.2,120.0,spark-nlp,,,,['spark'],268.0,250.0,https://pypi.org/project/spark-nlp,2023-01-24 12:55:58.136,18.0,2953769.0,2953769.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +95,Thinc,explosion/thinc,ml-frameworks,,https://github.com/explosion/thinc,https://github.com/explosion/thinc,MIT,2014-10-16 16:34:59.000,2023-03-14 11:24:45.000000,2023-03-07 09:24:55,5225.0,26.0,270,84.0,730.0,23.0,115.0,2680,"A refreshing functional take on deep learning, compatible with your favorite libraries.",61.0,36,True,2023-03-07 10:45:57.672,8.1.9,223.0,thinc,conda-forge/thinc,,,,29191.0,28567.0,https://pypi.org/project/thinc,2023-01-13 13:06:01.752,624.0,4585190.0,4617861.0,https://anaconda.org/conda-forge/thinc,2023-03-08 19:37:56.176,2385024.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +96,FiftyOne,voxel51/fiftyone,data-viz,,https://github.com/voxel51/fiftyone,https://github.com/voxel51/fiftyone,Apache-2.0,2020-04-22 13:43:28.000,2023-03-16 14:38:28.000000,2023-03-16 02:53:35,16046.0,949.0,320,39.0,1654.0,436.0,759.0,2680,"Visualize, create, and debug image and video datasets and model predictions.",76.0,36,True,2023-02-14 16:31:07.640,0.19.1,115.0,fiftyone,,,,"['tensorflow', 'pytorch', 'jupyter']",267.0,262.0,https://pypi.org/project/fiftyone,2023-01-04 18:12:10.982,5.0,282473.0,282473.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +97,HoloViews,holoviz/holoviews,data-viz,,https://github.com/holoviz/holoviews,https://github.com/holoviz/holoviews,BSD-3-Clause,2014-05-07 16:59:22.000,2023-03-16 13:05:14.000000,2023-03-16 12:48:35,10471.0,61.0,373,61.0,2672.0,999.0,2005.0,2395,"With Holoviews, your data visualizes itself.",134.0,36,True,2023-01-16 20:43:43.000,1.15.4,115.0,holoviews,conda-forge/holoviews,,,['jupyter'],237.0,,https://pypi.org/project/holoviews,2023-01-16 20:36:07.988,235.0,512862.0,527660.0,https://anaconda.org/conda-forge/holoviews,2023-01-17 11:23:44.534,1138383.0,,,,,2.0,,,,@pyviz/jupyterlab_pyviz,https://www.npmjs.com/package/@pyviz/jupyterlab_pyviz,2020-05-24 13:49:54.205,2.0,916.0,,,,,,,,,,,, +98,pyproj,pyproj4/pyproj,geospatial-data,,https://github.com/pyproj4/pyproj,https://github.com/pyproj4/pyproj,MIT,2014-12-29 21:38:25.000,2023-03-15 02:56:16.000000,2023-03-15 02:54:30,1458.0,35.0,190,30.0,624.0,27.0,524.0,859,Python interface to PROJ (cartographic projections and coordinate transformations library).,58.0,36,True,2022-12-13 02:06:03.231,3.4.1,50.0,pyproj,conda-forge/pyproj,,,,21035.0,19178.0,https://pypi.org/project/pyproj,2022-12-13 02:06:03.231,1857.0,5194923.0,5257883.0,https://anaconda.org/conda-forge/pyproj,2023-01-17 15:21:43.984,5477532.0,,,,,2.0,,,-1.0,,,,,,,,,,,,,,,,, +99,PaddleOCR,PaddlePaddle/PaddleOCR,ocr,,https://github.com/PaddlePaddle/PaddleOCR,https://github.com/PaddlePaddle/PaddleOCR,Apache-2.0,2020-05-08 10:38:16.000,2023-03-16 07:42:51.000000,2023-03-15 09:34:37,5993.0,37.0,5895,402.0,2520.0,1399.0,5456.0,28861,"Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages..",148.0,35,True,2022-08-24 09:04:27.000,2.6.0,36.0,paddleocr,,,,['paddle'],1233.0,1213.0,https://pypi.org/project/paddleocr,2022-12-14 02:59:31.886,20.0,38591.0,38591.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +100,fastText,facebookresearch/fastText,nlp,,https://github.com/facebookresearch/fastText,https://github.com/facebookresearch/fastText,MIT,2016-07-16 13:38:42.000,2023-02-14 00:58:53.000000,2022-03-04 15:19:01,381.0,,4537,853.0,252.0,518.0,608.0,24305,Library for fast text representation and classification.,59.0,35,True,2020-04-28 09:54:50.000,0.9.2,35.0,fasttext,conda-forge/fasttext,,,,4295.0,4109.0,https://pypi.org/project/fasttext,2020-04-28 09:54:50.000,186.0,965434.0,966197.0,https://anaconda.org/conda-forge/fasttext,2022-11-01 19:01:43.034,49614.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +101,MindsDB,mindsdb/mindsdb,ml-frameworks,,https://github.com/mindsdb/mindsdb,https://github.com/mindsdb/mindsdb,GPL-3.0,2018-08-02 17:56:45.000,2023-03-16 14:11:32.000000,2023-03-16 13:37:32,10000.0,1198.0,1650,346.0,2616.0,439.0,1803.0,14330,An emerging platform to help developers build #AI solutions.,369.0,35,False,2023-03-16 12:07:36.000,23.3.3.3,100.0,mindsdb,,,,['pytorch'],4.0,,https://pypi.org/project/mindsdb,2019-03-19 05:07:23.000,4.0,8913.0,8913.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +102,InsightFace,deepinsight/insightface,image,,https://github.com/deepinsight/insightface,https://github.com/deepinsight/insightface,MIT,2017-09-01 00:36:51.000,2023-03-16 06:27:37.000000,2023-03-15 22:48:50,2191.0,63.0,4159,472.0,137.0,1225.0,922.0,13677,State-of-the-art 2D and 3D Face Analysis Project.,52.0,35,True,2022-12-17 02:14:00.699,0.7.2,27.0,insightface,,,,['mxnet'],277.0,270.0,https://pypi.org/project/insightface,2022-12-17 02:14:00.699,7.0,34755.0,34755.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +103,Albumentations,albumentations-team/albumentations,image,,https://github.com/albumentations-team/albumentations,https://github.com/albumentations-team/albumentations,MIT,2018-06-06 03:10:50.000,2023-03-16 00:40:15.000000,2023-03-08 08:48:47,775.0,10.0,1482,124.0,648.0,353.0,413.0,11718,Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation:..,127.0,35,True,2022-09-20 07:59:31.954,1.3.0,52.0,albumentations,conda-forge/albumentations,,,['pytorch'],13215.0,12937.0,https://pypi.org/project/albumentations,2022-09-20 07:59:31.954,278.0,634608.0,636768.0,https://anaconda.org/conda-forge/albumentations,2022-09-20 14:09:56.676,97238.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +104,TextBlob,sloria/TextBlob,nlp,,https://github.com/sloria/TextBlob,https://github.com/sloria/TextBlob,MIT,2013-06-30 18:29:18.000,2023-03-11 18:17:17.000000,2023-03-11 18:17:15,563.0,1.0,1114,269.0,156.0,111.0,155.0,8479,"Simple, Pythonic, text processing--Sentiment analysis, part-of-speech tagging, noun phrase extraction, translation,..",36.0,35,True,2021-10-22 03:18:24.000,0.17.1,59.0,textblob,conda-forge/textblob,,,,29318.0,27912.0,https://pypi.org/project/textblob,2021-10-22 03:18:24.000,1406.0,1000733.0,1003381.0,https://anaconda.org/conda-forge/textblob,2019-02-24 23:32:55.233,209260.0,,,,,2.0,100.0,,-1.0,,,,,,,,,,,,,,,,, +105,PyOD,yzhao062/pyod,others,,https://github.com/yzhao062/pyod,https://github.com/yzhao062/pyod,BSD-2-Clause,2017-10-03 20:29:04.000,2023-03-09 17:24:47.000000,2023-03-08 20:16:43,1669.0,14.0,1244,152.0,190.0,161.0,141.0,6839,A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly Detection).,48.0,35,True,2023-03-08 23:22:06.154,1.0.8,86.0,pyod,conda-forge/pyod,,,,2120.0,2073.0,https://pypi.org/project/pyod,2022-12-16 21:19:32.316,47.0,724791.0,726414.0,https://anaconda.org/conda-forge/pyod,2023-03-09 00:03:27.880,58433.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +106,featuretools,alteryx/featuretools,hyperopt,,https://github.com/alteryx/featuretools,https://github.com/alteryx/featuretools,BSD-3-Clause,2017-09-08 22:15:17.000,2023-03-16 01:11:37.000000,2023-03-15 21:32:52,1260.0,63.0,841,158.0,1584.0,166.0,764.0,6552,An open source python library for automated feature engineering.,69.0,35,True,2023-02-15 15:06:00.756,1.23.0,100.0,featuretools,conda-forge/featuretools,,,,1331.0,1258.0,https://pypi.org/project/featuretools,2023-01-31 22:28:41.726,73.0,69120.0,71738.0,https://anaconda.org/conda-forge/featuretools,2023-02-16 14:18:51.767,133547.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +107,DeepChem,deepchem/deepchem,others,,https://github.com/deepchem/deepchem,https://github.com/deepchem/deepchem,MIT,2015-09-24 23:20:28.000,2023-03-16 14:52:32.000000,2023-03-15 04:12:08,8150.0,152.0,1467,154.0,1735.0,564.0,1062.0,4186,"Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology.",211.0,35,True,2022-12-01 14:00:47.111,2.7.1,543.0,deepchem,conda-forge/deepchem,,,['tensorflow'],181.0,173.0,https://pypi.org/project/deepchem,2022-07-06 16:36:45.000,8.0,13365.0,15799.0,https://anaconda.org/conda-forge/deepchem,2022-12-02 15:08:43.839,90068.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +108,BigDL,intel-analytics/BigDL,distributed-ml,,https://github.com/intel-analytics/BigDL,https://github.com/intel-analytics/BigDL,Apache-2.0,2016-08-29 07:59:50.000,2023-03-16 12:01:58.000000,2023-03-16 09:00:01,19614.0,718.0,1068,237.0,6205.0,710.0,1148.0,4175,"Fast, distributed, secure AI for Big Data.",176.0,35,True,2023-01-19 05:18:37.000,2.2.0,507.0,bigdl,,,,,47.0,42.0,https://pypi.org/project/bigdl,2022-07-07 01:48:22.000,1.0,4360.0,4360.0,,,,,,,,2.0,,,,,,,,,,,,,,com.intel.analytics.bigdl:bigdl-SPARK_2.4,https://search.maven.org/artifact/com.intel.analytics.bigdl/bigdl-SPARK_2.4,2021-04-20 01:33:14,4.0,,, +109,geopy,geopy/geopy,geospatial-data,,https://github.com/geopy/geopy,https://github.com/geopy/geopy,MIT,2010-03-04 22:05:28.000,2023-01-27 10:08:02.000000,2022-11-13 09:58:17,1107.0,,611,94.0,259.0,34.0,242.0,3906,Geocoding library for Python.,128.0,35,True,2022-11-13 10:18:02.100,2.3.0,59.0,geopy,conda-forge/geopy,,,,3970.0,,https://pypi.org/project/geopy,2022-11-13 10:18:02.100,3970.0,3992084.0,4003749.0,https://anaconda.org/conda-forge/geopy,2022-11-13 14:50:04.191,979939.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +110,torchtext,pytorch/text,nlp,,https://github.com/pytorch/text,https://github.com/pytorch/text,BSD-3-Clause,2016-12-12 00:56:03.000,2023-03-16 11:30:55.000000,2023-03-09 18:23:53,1262.0,44.0,784,264.0,1382.0,292.0,497.0,3233,"Models, data loaders and abstractions for language processing, powered by PyTorch.",143.0,35,True,2023-03-15 19:41:50.000,0.15.1,26.0,torchtext,,,,['pytorch'],462.0,,https://pypi.org/project/torchtext,2022-12-15 20:23:00.621,462.0,448590.0,448590.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +111,category_encoders,scikit-learn-contrib/category_encoders,sklearn-utils,,https://github.com/scikit-learn-contrib/category_encoders,https://github.com/scikit-learn-contrib/category_encoders,BSD-3-Clause,2015-11-29 19:32:37.000,2023-03-13 11:51:39.000000,2023-03-13 11:51:34,906.0,43.0,380,39.0,136.0,42.0,222.0,2179,A library of sklearn compatible categorical variable encoders.,61.0,35,True,2023-01-14 21:24:01.587,2.6.0,29.0,category_encoders,conda-forge/category_encoders,,,['sklearn'],4938.0,4800.0,https://pypi.org/project/category_encoders,2023-01-14 21:24:01.587,138.0,1131648.0,1134287.0,https://anaconda.org/conda-forge/category_encoders,2023-01-17 14:54:32.930,211169.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +112,torchaudio,pytorch/audio,audio,,https://github.com/pytorch/audio,https://github.com/pytorch/audio,BSD-2-Clause,2017-05-05 00:38:05.000,2023-03-16 13:42:06.000000,2023-03-16 13:15:14,1941.0,163.0,531,73.0,2425.0,228.0,583.0,2021,"Data manipulation and transformation for audio signal processing, powered by PyTorch.",198.0,35,True,2023-03-15 19:40:19.000,2.0.1,26.0,torchaudio,,,,['pytorch'],272.0,,https://pypi.org/project/torchaudio,2022-12-15 20:22:00.627,272.0,700023.0,700023.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +113,PyVista,pyvista/pyvista,data-viz,,https://github.com/pyvista/pyvista,https://github.com/pyvista/pyvista,MIT,2017-05-31 18:01:42.000,2023-03-16 10:43:27.000000,2023-03-16 10:43:26,3396.0,214.0,317,32.0,2140.0,333.0,801.0,1711,3D plotting and mesh analysis through a streamlined interface for the Visualization Toolkit (VTK).,118.0,35,True,2023-03-11 05:50:16.000,0.38.4,69.0,pyvista,conda-forge/pyvista,,,['jupyter'],1882.0,1709.0,https://pypi.org/project/pyvista,2022-11-02 14:24:02.503,173.0,88262.0,94848.0,https://anaconda.org/conda-forge/pyvista,2023-03-12 10:56:51.594,302451.0,,,,,2.0,704.0,,,,,,,,,,,,,,,,,,, +114,TF Addons,tensorflow/addons,tensorflow-utils,,https://github.com/tensorflow/addons,https://github.com/tensorflow/addons,Apache-2.0,2018-11-26 23:57:17.000,2023-03-01 05:31:19.000000,2023-03-01 04:33:56,1497.0,7.0,590,58.0,1856.0,251.0,885.0,1624,Useful extra functionality for TensorFlow 2.x maintained by SIG-addons.,204.0,35,True,2022-12-15 09:29:45.000,0.19.0,34.0,tensorflow-addons,,,,['tensorflow'],11411.0,11233.0,https://pypi.org/project/tensorflow-addons,2022-12-10 00:02:02.170,178.0,1164301.0,1164301.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +115,Wand,emcconville/wand,image,,https://github.com/emcconville/wand,https://github.com/emcconville/wand,MIT,2011-09-30 21:36:38.000,2023-03-06 11:41:24.000000,2023-03-05 16:58:56,1817.0,22.0,197,29.0,205.0,24.0,373.0,1254,The ctypes-based simple ImageMagick binding for Python.,102.0,35,True,2023-01-05 13:25:52.000,0.6.11,54.0,wand,conda-forge/wand,,,,15550.0,14848.0,https://pypi.org/project/wand,2023-01-05 13:11:36.729,702.0,629806.0,630511.0,https://anaconda.org/conda-forge/wand,2022-08-22 21:57:19.809,21687.0,,,,,2.0,10502.0,,,,,,,,,,,,,,,,,,, +116,Fiona,Toblerity/Fiona,geospatial-data,,https://github.com/Toblerity/Fiona,https://github.com/Toblerity/Fiona,BSD-3-Clause,2011-12-31 19:47:00.000,2023-03-09 18:06:47.000000,2023-02-26 01:28:36,1383.0,29.0,196,48.0,469.0,42.0,684.0,1030,Fiona reads and writes geographic data files.,66.0,35,True,2023-02-10 02:09:29.000,1.9.1,107.0,fiona,conda-forge/fiona,,,,12517.0,11675.0,https://pypi.org/project/fiona,2023-02-10 01:15:01.460,842.0,3341378.0,3391211.0,https://anaconda.org/conda-forge/fiona,2023-02-10 18:47:39.838,4185995.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +117,Nilearn,nilearn/nilearn,medical-data,,https://github.com/nilearn/nilearn,https://github.com/nilearn/nilearn,BSD-3-Clause,2011-01-09 19:02:23.000,2023-03-16 12:42:52.000000,2023-03-16 07:20:07,9782.0,75.0,493,72.0,1878.0,280.0,1469.0,944,Machine learning for NeuroImaging in Python.,210.0,35,True,2023-01-06 13:49:04.000,0.10.0,43.0,nilearn,conda-forge/nilearn,,,['sklearn'],2352.0,2093.0,https://pypi.org/project/nilearn,2023-01-06 13:44:07.099,259.0,36639.0,39240.0,https://anaconda.org/conda-forge/nilearn,2023-01-06 20:36:09.589,212958.0,,,,,1.0,93.0,,,,,,,,,,,,,,,,,,, +118,NiBabel,nipy/nibabel,medical-data,,https://github.com/nipy/nibabel,https://github.com/nipy/nibabel,MIT,2010-07-22 16:28:30.000,2023-03-13 00:56:19.000000,2023-03-13 00:56:19,5512.0,231.0,246,38.0,743.0,147.0,362.0,529,Python package to access a cacophony of neuro-imaging file formats.,96.0,35,True,2023-02-12 17:46:06.000,5.0.1,39.0,nibabel,conda-forge/nibabel,,,,11084.0,10020.0,https://pypi.org/project/nibabel,2023-01-09 22:39:18.990,1064.0,229854.0,236495.0,https://anaconda.org/conda-forge/nibabel,2023-02-13 00:10:09.140,544591.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +119,detectron2,facebookresearch/detectron2,image,,https://github.com/facebookresearch/detectron2,https://github.com/facebookresearch/detectron2,Apache-2.0,2019-09-05 21:30:20.000,2023-03-16 14:23:07.000000,2023-03-15 23:03:41,1444.0,35.0,6405,366.0,586.0,338.0,2957.0,23887,"Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.",239.0,34,True,2021-11-15 22:08:26.000,0.6,10.0,detectron2,conda-forge/detectron2,,,['pytorch'],951.0,945.0,https://pypi.org/project/detectron2,2020-02-06 00:35:57.000,6.0,,3841.0,https://anaconda.org/conda-forge/detectron2,2023-01-22 14:54:08.581,130617.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +120,Netron,lutzroeder/netron,interpretability,,https://github.com/lutzroeder/netron,https://github.com/lutzroeder/netron,MIT,2010-12-26 12:53:43.000,2023-03-16 06:00:27.000000,2023-03-16 06:00:23,6572.0,307.0,2412,279.0,147.0,22.0,890.0,21632,"Visualizer for neural network, deep learning, and machine learning models.",2.0,34,True,2023-03-11 16:40:00.472,6.7.5,553.0,netron,,,,"['pytorch', 'tensorflow']",80.0,10.0,https://pypi.org/project/netron,2023-01-28 11:23:02.532,70.0,12989.0,79689.0,,,,,,,,1.0,66700.0,,,,,,,,,,,,,,,,,,, +121,imgaug,aleju/imgaug,image,,https://github.com/aleju/imgaug,https://github.com/aleju/imgaug,MIT,2015-07-10 20:31:33.000,2022-06-15 13:04:48.000000,2020-06-01 14:58:26,2913.0,,2362,231.0,331.0,286.0,221.0,13383,Image augmentation for machine learning experiments.,36.0,34,False,2020-02-06 06:18:40.000,0.4.0,11.0,imgaug,conda-forge/imgaug,,,,14201.0,13801.0,https://pypi.org/project/imgaug,2020-02-05 20:54:22.000,400.0,311967.0,314662.0,https://anaconda.org/conda-forge/imgaug,2021-12-31 00:20:29.231,121279.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +122,tensor2tensor,tensorflow/tensor2tensor,tensorflow-utils,,https://github.com/tensorflow/tensor2tensor,https://github.com/tensorflow/tensor2tensor,Apache-2.0,2017-06-15 16:57:39.000,2023-02-17 02:16:48.000000,2023-02-17 02:16:47,4377.0,3.0,3186,459.0,668.0,587.0,671.0,13137,Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.,243.0,34,True,2020-06-17 16:15:36.000,1.15.7,79.0,tensor2tensor,,,,['tensorflow'],1421.0,1328.0,https://pypi.org/project/tensor2tensor,2020-06-17 16:15:36.000,93.0,17046.0,17046.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +123,PaddleHub,PaddlePaddle/PaddleHub,others,,https://github.com/PaddlePaddle/PaddleHub,https://github.com/PaddlePaddle/PaddleHub,Apache-2.0,2018-12-21 06:00:48.000,2023-02-20 06:26:36.000000,2023-02-20 06:26:36,2664.0,27.0,1985,180.0,989.0,528.0,683.0,11254,"Awesome pre-trained models toolkit based on PaddlePaddle. (400+ models including Image, Text, Audio, Video and Cross-..",68.0,34,True,2022-11-28 08:40:34.942,2.3.1,49.0,paddlehub,,,,['paddle'],1168.0,1162.0,https://pypi.org/project/paddlehub,2022-11-28 08:40:34.942,6.0,7226.0,7238.0,,,,,,,,2.0,595.0,,,,,,,,,,,,,,,,,,, +124,glfw,glfw/glfw,image,,https://github.com/glfw/glfw,https://github.com/glfw/glfw,Zlib,2013-04-18 15:24:53.000,2023-03-09 16:45:34.000000,2023-03-03 13:47:15,4617.0,8.0,4167,388.0,611.0,543.0,1215.0,10337,"A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input.",188.0,34,False,2023-03-15 16:47:01.399,2.5.7,49.0,glfw,conda-forge/glfw,,,,172.0,,https://pypi.org/project/glfw,2022-04-09 06:23:40.000,172.0,105834.0,140815.0,https://anaconda.org/conda-forge/glfw,2022-07-23 14:48:23.443,102291.0,,,,,2.0,3157910.0,,,,,,,,,,,,,,,,,,, +125,PaddleDetection,PaddlePaddle/PaddleDetection,image,,https://github.com/PaddlePaddle/PaddleDetection,https://github.com/PaddlePaddle/PaddleDetection,Apache-2.0,2019-10-25 07:21:14.000,2023-03-16 07:58:11.000000,2023-03-16 07:58:11,2127.0,110.0,2454,184.0,3412.0,936.0,3706.0,9707,"Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object..",137.0,34,True,2023-02-24 08:13:01.238,2.6.0,9.0,paddledet,,,,['paddle'],60.0,59.0,https://pypi.org/project/paddledet,2022-09-19 20:42:09.271,1.0,1811.0,1811.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +126,sentence-transformers,UKPLab/sentence-transformers,nlp,,https://github.com/UKPLab/sentence-transformers,https://github.com/UKPLab/sentence-transformers,Apache-2.0,2019-07-24 10:53:51.000,2023-03-06 12:58:28.000000,2023-01-26 10:08:49,1191.0,2.0,1870,119.0,217.0,914.0,770.0,9683,Multilingual Sentence & Image Embeddings with BERT.,107.0,34,True,2022-06-26 19:52:06.000,2.2.2,42.0,sentence-transformers,conda-forge/sentence-transformers,,,['pytorch'],6826.0,6599.0,https://pypi.org/project/sentence-transformers,2022-06-26 19:50:11.000,227.0,1884581.0,1887583.0,https://anaconda.org/conda-forge/sentence-transformers,2022-06-27 02:36:18.009,90063.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +127,fuzzywuzzy,seatgeek/fuzzywuzzy,nlp,,https://github.com/seatgeek/fuzzywuzzy,https://github.com/seatgeek/fuzzywuzzy,GPL-2.0,2011-07-08 19:32:34.000,2023-02-24 19:00:26.000000,2021-09-09 20:54:41,384.0,,891,267.0,148.0,110.0,103.0,8847,Fuzzy String Matching in Python.,70.0,34,False,2020-02-13 22:14:12.000,0.18.0,27.0,fuzzywuzzy,conda-forge/fuzzywuzzy,,,,19731.0,17694.0,https://pypi.org/project/fuzzywuzzy,2020-02-13 21:06:25.000,2037.0,6445033.0,6450650.0,https://anaconda.org/conda-forge/fuzzywuzzy,2020-11-18 12:59:01.409,449430.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +128,AutoKeras,keras-team/autokeras,hyperopt,,https://github.com/keras-team/autokeras,https://github.com/keras-team/autokeras,Apache-2.0,2017-11-19 23:18:20.000,2023-03-15 23:40:23.000000,2023-03-15 23:40:21,1382.0,22.0,1394,306.0,879.0,117.0,756.0,8767,AutoML library for deep learning.,141.0,34,True,2023-01-28 18:46:30.271,1.1.0,58.0,autokeras,,,,['tensorflow'],463.0,452.0,https://pypi.org/project/autokeras,2023-01-28 18:46:30.271,11.0,13390.0,13613.0,,,,,,,,1.0,14287.0,,,,,,,,,,,,,,,,,,, +129,Pyro,pyro-ppl/pyro,probabilistics,,https://github.com/pyro-ppl/pyro,https://github.com/pyro-ppl/pyro,Apache-2.0,2017-06-16 05:03:47.000,2023-03-16 03:43:06.000000,2023-03-16 03:43:00,2378.0,13.0,965,201.0,2191.0,235.0,788.0,7830,Deep universal probabilistic programming with Python and PyTorch.,135.0,34,True,2023-01-03 22:38:54.000,1.8.4,32.0,pyro-ppl,conda-forge/pyro-ppl,,,['pytorch'],1365.0,1288.0,https://pypi.org/project/pyro-ppl,2023-01-03 22:33:03.205,77.0,410876.0,413054.0,https://anaconda.org/conda-forge/pyro-ppl,2023-01-04 04:15:32.028,52288.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +130,haystack,deepset-ai/haystack,nlp,,https://github.com/deepset-ai/haystack,https://github.com/deepset-ai/haystack,Apache-2.0,2019-11-14 09:05:28.000,2023-03-16 14:52:31.000000,2023-03-16 14:18:13,2021.0,309.0,1077,103.0,2047.0,345.0,1699.0,7349,Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-3 and..,162.0,34,True,2023-02-28 13:59:45.000,1.14.0,40.0,haystack,,,,,664.0,579.0,https://pypi.org/project/haystack,2021-12-15 14:01:39.322,85.0,2135.0,2135.0,,,,,,,,2.0,19.0,,,,,,,,,,,,,,,,,,, +131,Datasette,simonw/datasette,others,,https://github.com/simonw/datasette,https://github.com/simonw/datasette,Apache-2.0,2017-10-23 00:39:03.000,2023-03-12 21:29:21.000000,2023-03-08 20:52:37,2354.0,62.0,510,101.0,377.0,491.0,1103.0,7248,An open source multi-tool for exploring and publishing data.,74.0,34,True,2023-03-08 20:55:00.942,0.64.2,132.0,datasette,conda-forge/datasette,,,,1129.0,926.0,https://pypi.org/project/datasette,2023-01-11 18:35:59.626,203.0,42407.0,43127.0,https://anaconda.org/conda-forge/datasette,2023-03-11 17:55:30.692,16548.0,,,,,2.0,42.0,,,,,,,,datasette,,,,,,,,,,, +132,Pydub,jiaaro/pydub,audio,,https://github.com/jiaaro/pydub,https://github.com/jiaaro/pydub,MIT,2011-05-02 18:42:38.000,2023-02-04 06:02:33.000000,2022-12-08 17:49:19,746.0,,897,129.0,203.0,280.0,262.0,6935,Manipulate audio with a simple and easy high level interface.,95.0,34,True,2021-03-10 02:10:41.000,0.25.1,68.0,pydub,conda-forge/pydub,,,,20539.0,19638.0,https://pypi.org/project/pydub,2021-03-10 02:09:53.000,901.0,5366213.0,5367028.0,https://anaconda.org/conda-forge/pydub,2021-03-13 05:16:50.142,41573.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +133,sentencepiece,google/sentencepiece,nlp,,https://github.com/google/sentencepiece,https://github.com/google/sentencepiece,Apache-2.0,2017-03-07 10:03:48.000,2023-03-02 18:52:26.000000,2023-02-21 01:50:26,834.0,8.0,890,116.0,247.0,27.0,559.0,6796,Unsupervised text tokenizer for Neural Network-based text generation.,74.0,34,True,2022-08-07 07:57:04.639,0.1.97,32.0,sentencepiece,conda-forge/sentencepiece,,,,25334.0,24749.0,https://pypi.org/project/sentencepiece,2022-08-07 07:57:04.639,585.0,8881770.0,8893495.0,https://anaconda.org/conda-forge/sentencepiece,2023-02-15 11:50:30.178,360967.0,,,,,2.0,24519.0,,,,,,,,,,,,,,,,,,, +134,Tokenizers,huggingface/tokenizers,nlp,,https://github.com/huggingface/tokenizers,https://github.com/huggingface/tokenizers,Apache-2.0,2019-11-01 17:52:20.000,2023-03-15 13:59:03.000000,2023-03-15 13:59:01,1636.0,26.0,557,108.0,453.0,239.0,503.0,6569,Fast State-of-the-Art Tokenizers optimized for Research and Production.,66.0,34,True,2022-11-07 08:42:58.000,0.13.2,74.0,tokenizers,conda-forge/tokenizers,,,,239.0,56.0,https://pypi.org/project/tokenizers,2022-11-07 08:03:59.608,183.0,10160850.0,10188828.0,https://anaconda.org/conda-forge/tokenizers,2023-01-26 00:34:45.944,895301.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +135,stanza,stanfordnlp/stanza,nlp,,https://github.com/stanfordnlp/stanza,https://github.com/stanfordnlp/stanza,Apache-2.0,2017-09-26 08:00:56.000,2023-03-16 06:04:34.000000,2023-03-14 16:10:05,3603.0,116.0,847,141.0,430.0,88.0,697.0,6531,Official Stanford NLP Python Library for Many Human Languages.,58.0,34,True,2023-03-14 05:10:01.099,1.5.0,18.0,stanza,stanfordnlp/stanza,,,,1735.0,1651.0,https://pypi.org/project/stanza,2022-09-20 00:53:42.940,84.0,174598.0,174774.0,https://anaconda.org/stanfordnlp/stanza,2022-09-14 18:22:52.582,6348.0,,,,,2.0,,,3.0,,,,,,,,,,,,,,,,, +136,einops,arogozhnikov/einops,ml-frameworks,,https://github.com/arogozhnikov/einops,https://github.com/arogozhnikov/einops,MIT,2018-09-22 00:45:08.000,2023-03-16 04:32:56.000000,2023-03-16 04:32:54,579.0,49.0,285,62.0,82.0,37.0,103.0,6499,"Deep learning operations reinvented (for pytorch, tensorflow, jax and others).",23.0,34,True,2022-11-09 20:33:53.191,0.6.0,9.0,einops,conda-forge/einops,,,,8513.0,8227.0,https://pypi.org/project/einops,2022-11-09 20:33:53.191,286.0,3073554.0,3075447.0,https://anaconda.org/conda-forge/einops,2022-12-09 15:39:26.809,79543.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +137,imbalanced-learn,scikit-learn-contrib/imbalanced-learn,sklearn-utils,,https://github.com/scikit-learn-contrib/imbalanced-learn,https://github.com/scikit-learn-contrib/imbalanced-learn,MIT,2014-08-16 05:08:26.000,2023-02-20 21:30:15.000000,2022-12-28 13:20:34,805.0,3.0,1230,145.0,444.0,52.0,496.0,6270,A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning.,71.0,34,True,2022-12-28 13:30:01.685,0.10.1,31.0,imbalanced-learn,conda-forge/imbalanced-learn,,,['sklearn'],15819.0,15522.0,https://pypi.org/project/imbalanced-learn,2022-12-28 13:30:01.685,297.0,3057350.0,3062701.0,https://anaconda.org/conda-forge/imbalanced-learn,2022-12-28 14:02:07.828,347863.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +138,UMAP,lmcinnes/umap,data-viz,,https://github.com/lmcinnes/umap,https://github.com/lmcinnes/umap,BSD-3-Clause,2017-07-02 01:11:17.000,2023-03-01 11:18:43.000000,2023-02-23 21:35:46,1665.0,16.0,706,125.0,241.0,382.0,313.0,6101,Uniform Manifold Approximation and Projection.,112.0,34,True,2022-04-13 21:20:36.000,0.5.3,37.0,umap-learn,conda-forge/umap-learn,,,,8607.0,8183.0,https://pypi.org/project/umap-learn,2022-04-13 21:20:36.000,424.0,953800.0,983391.0,https://anaconda.org/conda-forge/umap-learn,2022-04-14 03:58:56.571,1745899.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +139,NeMo,NVIDIA/NeMo,nlp,,https://github.com/NVIDIA/NeMo,https://github.com/NVIDIA/NeMo,Apache-2.0,2019-08-05 20:16:42.000,2023-03-16 14:27:17.000000,2023-03-16 07:16:06,5274.0,271.0,1413,140.0,4285.0,91.0,1456.0,5893,NeMo: a toolkit for conversational AI.,209.0,34,True,2023-03-08 04:35:06.000,1.16.0,63.0,nemo-toolkit,,,,['pytorch'],10.0,,https://pypi.org/project/nemo-toolkit,2022-07-01 21:27:29.000,10.0,25199.0,25900.0,,,,,,,,2.0,29450.0,,,,,,,,,,,,,,,,,,, +140,deepface,serengil/deepface,image,,https://github.com/serengil/deepface,https://github.com/serengil/deepface,MIT,2020-02-08 20:42:28.000,2023-03-15 03:40:25.000000,2023-03-09 17:02:43,992.0,132.0,1228,96.0,65.0,4.0,631.0,5803,"A Lightweight Face Recognition and Facial Attribute Analysis (Age, Gender, Emotion and Race) Library for Python.",37.0,34,True,2023-02-23 10:07:02.320,0.0.79,78.0,deepface,,,,,1186.0,1177.0,https://pypi.org/project/deepface,2023-01-24 23:15:00.809,9.0,96035.0,96035.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +141,librosa,librosa/librosa,audio,,https://github.com/librosa/librosa,https://github.com/librosa/librosa,ISC,2012-10-20 14:21:01.000,2023-03-16 14:55:49.946000,2023-02-27 20:22:56,3230.0,22.0,874,135.0,597.0,43.0,1039.0,5735,Python library for audio and music analysis.,113.0,34,True,2023-02-20 14:09:04.175,0.10.0,38.0,librosa,conda-forge/librosa,,,,1332.0,,https://pypi.org/project/librosa,2022-06-27 11:26:04.000,1332.0,1597273.0,1604702.0,https://anaconda.org/conda-forge/librosa,2023-03-16 14:55:49.946,594377.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +142,BentoML,bentoml/BentoML,model-serialisation,,https://github.com/bentoml/BentoML,https://github.com/bentoml/BentoML,Apache-2.0,2019-04-02 01:39:27.000,2023-03-16 15:09:59.000000,2023-03-16 07:53:08,2326.0,180.0,540,60.0,2652.0,144.0,700.0,4635,Unified Model Serving Framework.,150.0,34,True,2023-03-14 21:03:14.000,1.0.16,99.0,bentoml,,,,,902.0,894.0,https://pypi.org/project/bentoml,2023-02-15 22:44:00.659,8.0,38724.0,38760.0,,,,,,,,1.0,1735.0,,,,,,,,,,,,,,,,,,, +143,accelerate,huggingface/accelerate,pytorch-utils,,https://github.com/huggingface/accelerate,https://github.com/huggingface/accelerate,Apache-2.0,2020-10-30 13:27:12.000,2023-03-16 14:26:47.000000,2023-03-15 16:16:12,737.0,132.0,355,72.0,627.0,69.0,510.0,3907,"A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision.",103.0,34,True,2023-03-13 21:02:54.000,0.17.1,26.0,accelerate,conda-forge/accelerate,,,['pytorch'],3749.0,3652.0,https://pypi.org/project/accelerate,2023-01-31 17:16:03.642,97.0,2854244.0,2855512.0,https://anaconda.org/conda-forge/accelerate,2023-03-11 17:51:30.192,21562.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +144,MONAI,Project-MONAI/MONAI,medical-data,,https://github.com/Project-MONAI/MONAI,https://github.com/Project-MONAI/MONAI,Apache-2.0,2019-10-11 16:41:38.000,2023-03-16 14:21:44.000000,2023-03-16 08:15:15,2561.0,124.0,744,88.0,2747.0,285.0,2079.0,3854,AI Toolkit for Healthcare Imaging.,140.0,34,True,2022-12-19 21:05:07.000,1.1.0,63.0,monai,conda-forge/monai,,,['pytorch'],825.0,785.0,https://pypi.org/project/monai,2022-12-19 20:36:02.574,40.0,109858.0,110524.0,https://anaconda.org/conda-forge/monai,2022-12-19 21:06:46.126,9993.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +145,AzureML SDK,Azure/MachineLearningNotebooks,ml-experiments,,https://github.com/Azure/MachineLearningNotebooks,https://github.com/Azure/MachineLearningNotebooks,MIT,2018-08-17 17:29:14.000,2023-02-14 05:22:05.000000,2023-02-14 05:22:05,1261.0,4.0,2302,2007.0,514.0,343.0,1053.0,3641,Python notebooks with ML and deep learning examples with Azure Machine Learning Python SDK | Microsoft.,61.0,34,True,2022-12-05 15:40:15.786,1.48.0,96.0,azureml-sdk,,,,,48.0,,https://pypi.org/project/azureml-sdk,2022-12-05 15:40:15.786,48.0,1377787.0,1377796.0,,,,,,,,2.0,484.0,,,,,,,,,,,,,,,,,,, +146,plotnine,has2k1/plotnine,data-viz,,https://github.com/has2k1/plotnine,https://github.com/has2k1/plotnine,MIT,2017-04-24 19:00:44.000,2023-03-15 08:24:08.000000,2023-03-15 08:19:56,1918.0,55.0,194,66.0,119.0,87.0,473.0,3383,A grammar of graphics for Python.,99.0,34,True,2022-09-29 12:44:11.000,0.9.0,14.0,plotnine,conda-forge/plotnine,,,,4850.0,4610.0,https://pypi.org/project/plotnine,2022-09-29 12:37:01.873,240.0,297718.0,301226.0,https://anaconda.org/conda-forge/plotnine,2023-02-28 09:09:13.290,245614.0,,,,,2.0,,,3.0,,,,,,,,,,,,,,,,, +147,opencv-python,opencv/opencv-python,image,,https://github.com/opencv/opencv-python,https://github.com/opencv/opencv-python,MIT,2016-04-08 13:36:40.000,2023-03-16 07:00:43.000000,2023-03-16 07:00:43,900.0,19.0,650,84.0,169.0,74.0,576.0,3329,"Automated CI toolchain to produce precompiled opencv-python, opencv-python-headless, opencv-contrib-python and opencv-..",43.0,34,True,2023-02-22 13:15:05.000,72,68.0,opencv-python,,,,,10252.0,,https://pypi.org/project/opencv-python,2023-01-02 16:45:50.857,10252.0,8779337.0,8779337.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +148,Keras Tuner,keras-team/keras-tuner,hyperopt,,https://github.com/keras-team/keras-tuner,https://github.com/keras-team/keras-tuner,Apache-2.0,2019-06-06 22:38:21.000,2023-03-15 23:40:26.000000,2023-03-15 23:40:25,1010.0,66.0,362,65.0,412.0,188.0,252.0,2692,A Hyperparameter Tuning Library for Keras.,55.0,34,True,2023-02-23 02:01:52.842,1.3.0,21.0,keras-tuner,conda-forge/keras-tuner,,,['tensorflow'],2125.0,2072.0,https://pypi.org/project/keras-tuner,2023-01-28 18:39:03.670,53.0,613636.0,614041.0,https://anaconda.org/conda-forge/keras-tuner,2023-02-23 05:22:07.820,14607.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +149,arviz,arviz-devs/arviz,interpretability,,https://github.com/arviz-devs/arviz,https://github.com/arviz-devs/arviz,Apache-2.0,2015-07-29 11:51:10.000,2023-03-14 10:21:53.404000,2023-03-07 09:24:38,1478.0,22.0,324,45.0,1413.0,165.0,641.0,1354,Exploratory analysis of Bayesian models with Python.,141.0,34,True,2023-03-06 23:30:56.203,0.15.1,32.0,arviz,conda-forge/arviz,,,,3789.0,3656.0,https://pypi.org/project/arviz,2022-11-16 10:35:34.903,133.0,1125099.0,1152943.0,https://anaconda.org/conda-forge/arviz,2023-03-14 10:21:53.404,1280748.0,,,,,1.0,120.0,,,,,,,,,,,,,,,,,,, +150,agate,wireservice/agate,others,,https://github.com/wireservice/agate,https://github.com/wireservice/agate,MIT,2014-04-25 13:59:09.000,2023-03-01 07:56:28.000000,2023-01-12 06:10:52,1485.0,17.0,149,41.0,130.0,14.0,633.0,1125,A Python data analysis library that is optimized for humans instead of machines.,51.0,34,True,2023-01-04 20:14:00.948,1.7.1,29.0,agate,conda-forge/agate,,,,1690.0,1551.0,https://pypi.org/project/agate,2023-01-04 20:14:00.948,139.0,2513478.0,2515122.0,https://anaconda.org/conda-forge/agate,2023-01-05 00:05:13.909,120037.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +151,TensorFlow Text,tensorflow/text,nlp,,https://github.com/tensorflow/text,https://github.com/tensorflow/text,Apache-2.0,2019-05-29 22:10:03.000,2023-03-14 21:15:36.000000,2023-03-14 06:06:59,807.0,31.0,272,42.0,915.0,111.0,152.0,1049,Making text a first-class citizen in TensorFlow.,101.0,34,True,2022-11-21 19:15:26.000,2.11.0,59.0,tensorflow-text,,,,['tensorflow'],5021.0,4916.0,https://pypi.org/project/tensorflow-text,2022-11-18 21:38:02.468,105.0,3314232.0,3314232.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +152,DeepSpeech,mozilla/DeepSpeech,audio,,https://github.com/mozilla/DeepSpeech,https://github.com/mozilla/DeepSpeech,MPL-2.0,2016-06-02 15:04:53.000,2022-11-06 21:54:10.000000,2021-11-17 17:52:52,3466.0,,3649,656.0,1664.0,126.0,1974.0,21337,"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'],359.0,316.0,https://pypi.org/project/deepspeech,2020-12-19 10:05:12.000,43.0,13039.0,31038.0,https://anaconda.org/conda-forge/deepspeech,2021-07-29 19:26:04.079,1492.0,,,,,2.0,968003.0,,,,,,,,,,,,,,,,,,, +153,EasyOCR,JaidedAI/EasyOCR,ocr,,https://github.com/JaidedAI/EasyOCR,https://github.com/JaidedAI/EasyOCR,Apache-2.0,2020-03-14 11:46:39.000,2023-03-13 08:07:40.000000,2023-01-06 02:08:21,569.0,5.0,2492,284.0,203.0,182.0,560.0,17294,"Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic,..",114.0,33,True,2022-09-20 02:27:55.579,1.6.2,30.0,easyocr,,,,,2352.0,2299.0,https://pypi.org/project/easyocr,2022-09-20 02:27:55.579,53.0,162677.0,282078.0,,,,,,,,1.0,3940262.0,,,,,,,,,,,,,,,,,,, +154,zipline,quantopian/zipline,financial-data,,https://github.com/quantopian/zipline,https://github.com/quantopian/zipline,Apache-2.0,2012-10-19 15:50:29.000,2023-02-14 17:14:33.000000,2020-10-14 16:36:49,6226.0,,4543,1006.0,1867.0,361.0,653.0,15893,"Zipline, a Pythonic Algorithmic Trading Library.",155.0,33,False,2020-10-05 15:46:20.429,1.4.1,30.0,zipline,conda-forge/zipline,,,,999.0,914.0,https://pypi.org/project/zipline,2020-07-23 02:19:41.000,85.0,3016.0,3242.0,https://anaconda.org/conda-forge/zipline,2020-10-05 18:38:58.729,6804.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +155,Turi Create,apple/turicreate,ml-frameworks,,https://github.com/apple/turicreate,https://github.com/apple/turicreate,BSD-3-Clause,2017-12-01 00:42:04.000,2023-02-25 09:02:42.000000,2021-11-29 19:55:31,1571.0,,1120,352.0,1681.0,493.0,1293.0,10948,Turi Create simplifies the development of custom machine learning models.,85.0,33,False,2020-09-30 22:51:40.000,6.4.1,31.0,turicreate,,,,,364.0,345.0,https://pypi.org/project/turicreate,2020-09-30 22:51:40.000,19.0,19925.0,20049.0,,,,,,,,3.0,7872.0,,,,,,,,,,,,,,,,,,, +156,Annoy,spotify/annoy,nn-search,,https://github.com/spotify/annoy,https://github.com/spotify/annoy,Apache-2.0,2013-04-01 20:29:40.000,2023-02-25 00:57:55.000000,2023-02-25 00:57:55,848.0,4.0,1070,323.0,257.0,53.0,326.0,10893,Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk.,83.0,33,True,2022-08-08 09:35:43.528,1.17.1,44.0,annoy,conda-forge/python-annoy,,,,2914.0,2675.0,https://pypi.org/project/annoy,2022-08-08 09:35:43.528,239.0,1037424.0,1041408.0,https://anaconda.org/conda-forge/python-annoy,2022-10-31 10:34:45.740,310814.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +157,ParlAI,facebookresearch/ParlAI,nlp,,https://github.com/facebookresearch/ParlAI,https://github.com/facebookresearch/ParlAI,MIT,2017-04-24 17:10:44.000,2023-03-15 20:52:44.000000,2023-03-09 17:00:20,4302.0,12.0,2000,292.0,3339.0,72.0,1443.0,9868,A framework for training and evaluating AI models on a variety of openly available dialogue datasets.,204.0,33,True,2022-09-20 02:56:01.305,1.7.1,24.0,parlai,,,,['pytorch'],175.0,172.0,https://pypi.org/project/parlai,2022-09-20 02:56:01.305,3.0,3123.0,3123.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +158,Sonnet,deepmind/sonnet,ml-frameworks,,https://github.com/deepmind/sonnet,https://github.com/deepmind/sonnet,Apache-2.0,2017-04-03 11:34:35.000,2023-02-23 15:39:15.000000,2023-02-23 15:39:10,857.0,3.0,1352,428.0,79.0,33.0,156.0,9529,TensorFlow-based neural network library.,56.0,33,True,2022-12-15 16:54:01.069,2.0.1,28.0,dm-sonnet,conda-forge/sonnet,,,['tensorflow'],1060.0,1007.0,https://pypi.org/project/dm-sonnet,2022-12-15 16:54:01.069,53.0,28018.0,28539.0,https://anaconda.org/conda-forge/sonnet,2020-11-14 18:13:23.843,20844.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +159,ivy,unifyai/ivy,ml-frameworks,,https://github.com/unifyai/ivy,https://github.com/unifyai/ivy,Apache-2.0,2021-01-19 08:37:25.000,2023-03-16 15:21:07.000000,2023-03-16 14:41:48,11232.0,1940.0,3374,57.0,5867.0,1283.0,5447.0,9506,The Unified Machine Learning Framework.,827.0,33,True,2022-06-01 09:22:21.000,1.1.10,20.0,ivy-core,,,,,6.0,,https://pypi.org/project/ivy-core,2022-06-01 09:22:21.000,6.0,404.0,404.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +160,Ludwig,ludwig-ai/ludwig,ml-frameworks,,https://github.com/ludwig-ai/ludwig,https://github.com/ludwig-ai/ludwig,Apache-2.0,2018-12-27 23:58:12.000,2023-03-16 06:43:22.000000,2023-03-16 06:43:21,3400.0,281.0,1030,182.0,2303.0,261.0,688.0,8799,Data-centric declarative deep learning framework.,131.0,33,True,2023-03-04 17:04:00.423,0.7.2,36.0,ludwig,,,,['tensorflow'],168.0,159.0,https://pypi.org/project/ludwig,2022-10-28 19:19:00.519,9.0,3287.0,3287.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +161,imageai,OlafenwaMoses/ImageAI,image,,https://github.com/OlafenwaMoses/ImageAI,https://github.com/OlafenwaMoses/ImageAI,MIT,2018-03-19 23:12:33.000,2023-03-03 22:50:09.000000,2023-03-03 22:50:09,374.0,64.0,2051,281.0,92.0,298.0,437.0,7608,A python library built to empower developers to build applications and systems with self-contained Computer Vision..,17.0,33,True,2023-01-02 17:10:24.749,3.0.3,13.0,imageai,conda-forge/imageai,,,,1304.0,1286.0,https://pypi.org/project/imageai,2023-01-02 17:10:24.749,18.0,10008.0,24282.0,https://anaconda.org/conda-forge/imageai,2021-04-30 19:03:25.297,5061.0,,,,,2.0,832845.0,,,,,,,,,,,,,,,,,,, +162,tensorboardX,lanpa/tensorboardX,ml-experiments,,https://github.com/lanpa/tensorboardX,https://github.com/lanpa/tensorboardX,MIT,2017-06-13 13:54:19.000,2023-02-28 13:18:43.000000,2023-02-28 13:18:43,505.0,8.0,867,87.0,249.0,76.0,370.0,7553,"tensorboard for pytorch (and chainer, mxnet, numpy, ...).",75.0,33,True,2022-06-05 11:53:54.000,2.5.1,19.0,tensorboardX,conda-forge/tensorboardx,,,,28453.0,27508.0,https://pypi.org/project/tensorboardX,2022-06-05 11:53:54.000,945.0,1282536.0,1298542.0,https://anaconda.org/conda-forge/tensorboardx,2022-06-07 21:45:23.917,992071.0,,,,,2.0,368.0,,,,,,,,,,,,,,,,,,, +163,SpeechRecognition,Uberi/speech_recognition,audio,,https://github.com/Uberi/speech_recognition,https://github.com/Uberi/speech_recognition,BSD-3-Clause,2014-04-23 04:53:54.000,2023-03-14 13:52:07.394000,2023-03-13 12:21:37,454.0,38.0,2216,282.0,124.0,277.0,300.0,6895,"Speech recognition module for Python, supporting several engines and APIs, online and offline.",49.0,33,True,2023-03-14 12:04:32.000,3.10.0,54.0,SpeechRecognition,conda-forge/speechrecognition,,,,757.0,,https://pypi.org/project/SpeechRecognition,2022-12-04 12:47:02.703,757.0,432766.0,434776.0,https://anaconda.org/conda-forge/speechrecognition,2023-03-14 13:52:07.394,158859.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +164,Hyperopt,hyperopt/hyperopt,hyperopt,,https://github.com/hyperopt/hyperopt,https://github.com/hyperopt/hyperopt,BSD-3-Clause,2011-09-06 22:24:59.000,2023-02-06 14:10:33.000000,2021-11-29 10:21:36,1194.0,,1009,128.0,261.0,390.0,243.0,6628,Distributed Asynchronous Hyperparameter Optimization in Python.,93.0,33,False,2021-11-17 10:05:44.000,0.2.7,13.0,hyperopt,conda-forge/hyperopt,,,,9884.0,9416.0,https://pypi.org/project/hyperopt,2021-11-17 10:05:44.000,468.0,1698701.0,1711075.0,https://anaconda.org/conda-forge/hyperopt,2022-04-30 16:43:00.797,668237.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +165,Autograd,HIPS/autograd,others,,https://github.com/HIPS/autograd,https://github.com/HIPS/autograd,MIT,2014-11-24 15:50:23.000,2022-10-03 07:57:46.067000,2022-09-29 07:04:22,1382.0,,851,219.0,209.0,170.0,227.0,6220,Efficiently computes derivatives of numpy code.,52.0,33,True,2017-08-24 17:00:41.000,1.1.13,26.0,autograd,conda-forge/autograd,,,,5123.0,4823.0,https://pypi.org/project/autograd,2022-09-29 07:11:01.873,300.0,1157856.0,1161588.0,https://anaconda.org/conda-forge/autograd,2022-10-03 07:57:46.067,294868.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +166,OpenNMT,OpenNMT/OpenNMT-py,nlp,,https://github.com/OpenNMT/OpenNMT-py,https://github.com/OpenNMT/OpenNMT-py,MIT,2017-02-22 19:01:50.000,2023-03-16 12:22:00.000000,2023-03-16 09:52:36,2716.0,29.0,2163,168.0,963.0,23.0,1349.0,5942,Open Source Neural Machine Translation in PyTorch.,186.0,33,True,2023-02-06 17:50:06.050,3.0.4,38.0,OpenNMT-py,,,,['pytorch'],184.0,175.0,https://pypi.org/project/OpenNMT-py,2022-12-19 11:45:01.363,9.0,6151.0,6151.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +167,Chainer,chainer/chainer,ml-frameworks,,https://github.com/chainer/chainer,https://github.com/chainer/chainer,MIT,2015-06-05 05:50:37.000,2022-10-17 02:32:13.000000,2022-10-17 02:18:00,30611.0,,1392,290.0,6586.0,12.0,2030.0,5777,A flexible framework of neural networks for deep learning.,324.0,33,True,2022-06-29 08:19:03.000,7.8.1.post1,111.0,chainer,conda-forge/chainer,,,,3358.0,2957.0,https://pypi.org/project/chainer,2022-01-05 05:33:36.000,401.0,21291.0,21632.0,https://anaconda.org/conda-forge/chainer,2022-01-21 17:09:00.786,12634.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +168,triton,openai/triton,model-serialisation,,https://github.com/openai/triton,https://github.com/openai/triton,MIT,2014-08-30 17:07:16.000,2023-03-16 14:08:06.000000,2023-03-16 08:02:10,762.0,181.0,524,124.0,831.0,153.0,326.0,5767,Development repository for the Triton language and compiler.,96.0,33,True,2023-03-03 02:41:05.821,2.0.0,189.0,triton,,,,,404.0,394.0,https://pypi.org/project/triton,2022-07-04 00:16:30.000,10.0,763925.0,763925.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +169,speechbrain,speechbrain/speechbrain,audio,,https://github.com/speechbrain/speechbrain,https://github.com/speechbrain/speechbrain,Apache-2.0,2020-04-28 17:48:45.000,2023-03-15 08:32:15.000000,2023-03-15 08:30:16,7787.0,456.0,1027,118.0,858.0,161.0,741.0,5478,A PyTorch-based Speech Toolkit.,198.0,33,True,2022-08-29 16:28:12.336,0.5.13,12.0,speechbrain,,,,['pytorch'],541.0,534.0,https://pypi.org/project/speechbrain,2022-08-29 16:28:12.336,7.0,54456.0,54456.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +170,InterpretML,interpretml/interpret,interpretability,,https://github.com/interpretml/interpret,https://github.com/interpretml/interpret,MIT,2019-05-03 05:47:52.000,2023-03-16 00:24:32.000000,2023-03-16 00:24:17,2289.0,98.0,652,144.0,67.0,67.0,286.0,5345,Fit interpretable models. Explain blackbox machine learning.,36.0,33,True,2023-03-14 23:02:29.000,0.3.2,40.0,interpret,,,,['jupyter'],393.0,368.0,https://pypi.org/project/interpret,2022-11-18 02:00:00.498,25.0,67244.0,67244.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +171,mlpack,mlpack/mlpack,ml-frameworks,,https://github.com/mlpack/mlpack,https://github.com/mlpack/mlpack,BSD-3-Clause,2014-12-17 18:16:59.000,2023-03-10 14:12:42.000000,2023-03-08 14:14:34,28623.0,212.0,1489,184.0,1938.0,49.0,1480.0,4312,"mlpack: a fast, header-only C++ machine learning library.",299.0,33,True,2022-12-29 16:55:50.798,4.0.1,42.0,mlpack,conda-forge/mlpack,,,,1.0,,https://pypi.org/project/mlpack,2022-12-29 16:55:50.798,1.0,2844.0,5201.0,https://anaconda.org/conda-forge/mlpack,2022-12-30 21:56:55.663,132036.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +172,MLxtend,rasbt/mlxtend,sklearn-utils,,https://github.com/rasbt/mlxtend,https://github.com/rasbt/mlxtend,BSD-3-Clause,2014-08-14 01:56:16.000,2023-02-26 16:44:34.000000,2023-02-26 16:44:34,1559.0,9.0,808,118.0,497.0,128.0,327.0,4302,A library of extension and helper modules for Pythons data analysis and machine learning libraries.,93.0,33,True,2022-09-20 04:04:14.972,0.21.0,49.0,mlxtend,conda-forge/mlxtend,,,['sklearn'],8592.0,8425.0,https://pypi.org/project/mlxtend,2022-09-20 04:04:14.972,167.0,1263203.0,1267029.0,https://anaconda.org/conda-forge/mlxtend,2022-09-17 23:46:20.532,260196.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +173,ClearML,allegroai/clearml,ml-experiments,,https://github.com/allegroai/clearml,https://github.com/allegroai/clearml,Apache-2.0,2019-06-10 08:18:32.000,2023-03-15 15:37:02.000000,2023-03-12 14:58:48,2013.0,92.0,564,85.0,193.0,362.0,447.0,4195,"ClearML - Auto-Magical CI/CD to streamline your ML workflow. Experiment Manager, MLOps and Data-Management.",73.0,33,True,2023-03-08 21:04:01.341,1.9.3,117.0,clearml,,allegroai/trains,,,468.0,457.0,https://pypi.org/project/clearml,2023-01-25 17:36:00.225,11.0,225031.0,225719.0,,,,https://hub.docker.com/r/allegroai/trains,2020-10-05 10:16:46.865671,,30170.0,2.0,811.0,,,,,,,,,,,,,,,,,,, +174,Captum,pytorch/captum,interpretability,,https://github.com/pytorch/captum,https://github.com/pytorch/captum,BSD-3-Clause,2019-08-27 15:34:41.000,2023-03-06 22:39:28.000000,2023-02-03 22:05:33,1003.0,11.0,406,217.0,690.0,152.0,305.0,3806,Model interpretability and understanding for PyTorch.,98.0,33,True,2022-12-28 01:14:50.000,0.6.0,9.0,captum,conda-forge/captum,,,['pytorch'],1060.0,1018.0,https://pypi.org/project/captum,2022-12-27 23:25:01.082,42.0,138914.0,139337.0,https://anaconda.org/conda-forge/captum,2023-02-15 03:32:14.724,6355.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +175,Dedupe,dedupeio/dedupe,nlp,,https://github.com/dedupeio/dedupe,https://github.com/dedupeio/dedupe,MIT,2012-04-20 14:57:36.000,2023-03-13 02:58:01.000000,2023-02-17 16:34:52,3273.0,43.0,501,119.0,357.0,69.0,728.0,3670,"A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.",69.0,33,True,2023-02-17 16:58:05.493,2.0.23,174.0,dedupe,conda-forge/dedupe,,,,318.0,269.0,https://pypi.org/project/dedupe,2023-01-18 18:01:10.230,49.0,136326.0,137989.0,https://anaconda.org/conda-forge/dedupe,2022-12-12 17:16:06.331,24955.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +176,ART,Trusted-AI/adversarial-robustness-toolbox,adversarial,,https://github.com/Trusted-AI/adversarial-robustness-toolbox,https://github.com/Trusted-AI/adversarial-robustness-toolbox,MIT,2018-03-15 14:40:43.000,2023-03-16 07:57:04.000000,2023-03-13 10:23:07,11188.0,112.0,953,93.0,1139.0,104.0,674.0,3539,"Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction,..",123.0,33,True,2023-02-16 13:07:41.000,1.13.1,50.0,adversarial-robustness-toolbox,conda-forge/adversarial-robustness-toolbox,,,,336.0,327.0,https://pypi.org/project/adversarial-robustness-toolbox,2023-02-16 12:42:01.376,9.0,42560.0,43246.0,https://anaconda.org/conda-forge/adversarial-robustness-toolbox,2023-02-16 16:58:37.690,21983.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +177,GPyTorch,cornellius-gp/gpytorch,probabilistics,,https://github.com/cornellius-gp/gpytorch,https://github.com/cornellius-gp/gpytorch,MIT,2017-06-09 14:48:20.000,2023-03-15 14:25:41.000000,2023-03-12 23:39:22,3756.0,35.0,473,53.0,837.0,320.0,910.0,3043,A highly efficient implementation of Gaussian Processes in PyTorch.,115.0,33,True,2023-01-04 22:57:01.843,1.9.1,36.0,gpytorch,conda-forge/gpytorch,,,['pytorch'],1205.0,1162.0,https://pypi.org/project/gpytorch,2023-01-04 22:57:01.843,43.0,239481.0,241729.0,https://anaconda.org/conda-forge/gpytorch,2023-01-06 03:36:28.952,80939.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +178,VisPy,vispy/vispy,data-viz,,https://github.com/vispy/vispy,https://github.com/vispy/vispy,BSD-3-Clause,2013-03-21 18:43:22.000,2023-03-15 17:25:17.000000,2023-03-13 13:49:25,7160.0,29.0,606,120.0,1105.0,323.0,1068.0,3025,High-performance interactive 2D/3D data visualization library.,185.0,33,True,2022-11-14 11:36:33.000,0.12.1,33.0,vispy,conda-forge/vispy,,,['jupyter'],1164.0,1057.0,https://pypi.org/project/vispy,2022-11-14 11:25:38.065,106.0,48838.0,54289.0,https://anaconda.org/conda-forge/vispy,2022-11-14 20:27:26.121,353541.0,,,,,2.0,,,,vispy,https://www.npmjs.com/package/vispy,2020-03-15 14:39:41.516,1.0,12.0,,,,,,,,,,,, +179,datashader,holoviz/datashader,data-viz,,https://github.com/holoviz/datashader,https://github.com/holoviz/datashader,BSD-3-Clause,2015-12-23 18:02:20.000,2023-03-13 11:49:24.000000,2023-03-13 09:25:13,1410.0,26.0,363,94.0,654.0,129.0,407.0,2939,Quickly and accurately render even the largest data.,53.0,33,True,2023-02-02 14:26:33.000,0.14.4,33.0,datashader,conda-forge/datashader,,,,2125.0,2018.0,https://pypi.org/project/datashader,2023-02-02 14:10:02.142,107.0,166888.0,174907.0,https://anaconda.org/conda-forge/datashader,2023-02-02 21:57:55.937,513273.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +180,NeuralProphet,ourownstory/neural_prophet,time-series-data,,https://github.com/ourownstory/neural_prophet,https://github.com/ourownstory/neural_prophet,MIT,2020-05-04 05:12:43.000,2023-03-16 09:22:10.000000,2023-03-14 06:35:24,1264.0,61.0,393,50.0,586.0,92.0,352.0,2837,NeuralProphet: A simple forecasting package.,37.0,33,True,2023-03-06 20:41:24.000,0.5.2,19.0,neuralprophet,,,,['pytorch'],196.0,194.0,https://pypi.org/project/neuralprophet,2023-01-15 17:28:00.546,2.0,167441.0,167441.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +181,BoTorch,pytorch/botorch,hyperopt,,https://github.com/pytorch/botorch,https://github.com/pytorch/botorch,MIT,2018-07-30 23:59:57.000,2023-03-16 11:59:21.000000,2023-03-16 00:16:43,1480.0,102.0,309,51.0,1203.0,73.0,313.0,2552,Bayesian optimization in PyTorch.,89.0,33,True,2023-03-15 21:25:00.681,0.8.3,35.0,botorch,conda-forge/botorch,,,['pytorch'],494.0,470.0,https://pypi.org/project/botorch,2023-01-06 00:44:02.633,24.0,223853.0,225772.0,https://anaconda.org/conda-forge/botorch,2023-03-16 02:20:21.225,59507.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +182,scikit-optimize,scikit-optimize/scikit-optimize,hyperopt,,https://github.com/scikit-optimize/scikit-optimize,https://github.com/scikit-optimize/scikit-optimize,BSD-3-Clause,2016-03-20 21:10:54.000,2023-03-10 17:27:30.000000,2021-10-12 13:32:38,1570.0,,458,66.0,522.0,266.0,388.0,2549,Sequential model-based optimization with a `scipy.optimize` interface.,76.0,33,False,2021-10-12 15:33:19.000,0.9.0,23.0,scikit-optimize,conda-forge/scikit-optimize,,,,4179.0,3939.0,https://pypi.org/project/scikit-optimize,2021-10-12 14:21:32.000,240.0,614337.0,623436.0,https://anaconda.org/conda-forge/scikit-optimize,2021-12-15 05:01:56.230,618797.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +183,TF-Agents,tensorflow/agents,reinforcement-learning,,https://github.com/tensorflow/agents,https://github.com/tensorflow/agents,Apache-2.0,2018-11-17 00:29:12.000,2023-03-16 03:34:26.000000,2023-03-16 03:33:54,2196.0,23.0,683,84.0,194.0,171.0,453.0,2443,"TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.",134.0,33,True,2022-12-03 21:39:32.608,0.15.0,39.0,tf-agents,,,,['tensorflow'],1093.0,1091.0,https://pypi.org/project/tf-agents,2022-12-03 21:39:32.608,2.0,106094.0,106094.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +184,Ax,facebook/Ax,hyperopt,,https://github.com/facebook/Ax,https://github.com/facebook/Ax,MIT,2019-02-09 15:23:44.000,2023-03-16 05:45:22.000000,2023-03-16 04:02:02,2325.0,147.0,249,69.0,1013.0,37.0,479.0,2012,Adaptive Experimentation Platform.,143.0,33,True,2023-03-15 22:23:21.531,0.3.1,34.0,ax-platform,conda-forge/ax-platform,,,['pytorch'],441.0,419.0,https://pypi.org/project/ax-platform,2023-03-01 17:14:00.974,22.0,151588.0,151916.0,https://anaconda.org/conda-forge/ax-platform,2023-03-02 15:50:09.943,6901.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +185,pyLDAvis,bmabey/pyLDAvis,interpretability,,https://github.com/bmabey/pyLDAvis,https://github.com/bmabey/pyLDAvis,BSD-3-Clause,2015-04-09 22:48:03.000,2023-02-18 18:29:06.352000,2023-02-15 17:41:07,271.0,22.0,349,56.0,75.0,84.0,93.0,1694,Python library for interactive topic model visualization. Port of the R LDAvis package.,39.0,33,True,2023-02-15 17:48:31.000,3.4.0,25.0,pyldavis,conda-forge/pyldavis,,,['jupyter'],4803.0,4654.0,https://pypi.org/project/pyldavis,2021-03-24 12:57:08.000,149.0,936010.0,937088.0,https://anaconda.org/conda-forge/pyldavis,2023-02-18 18:29:06.352,61476.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +186,snakemake,snakemake/snakemake,ml-experiments,,https://github.com/snakemake/snakemake,https://github.com/snakemake/snakemake,MIT,2015-10-17 15:43:54.867,2023-03-16 04:37:09.000000,2023-03-14 08:34:31,4694.0,67.0,408,20.0,938.0,767.0,524.0,1624,"This is the development home of the workflow management system Snakemake. For general information, see.",284.0,33,True,2023-03-14 08:51:26.125,7.24.2,263.0,snakemake,bioconda/snakemake,,,,1686.0,1451.0,https://pypi.org/project/snakemake,2023-01-18 12:51:01.173,235.0,37232.0,44881.0,https://anaconda.org/bioconda/snakemake,2023-03-14 11:13:15.851,680849.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +187,Graphviz,xflr6/graphviz,data-viz,,https://github.com/xflr6/graphviz,https://github.com/xflr6/graphviz,MIT,2014-01-12 17:49:29.000,2023-03-16 14:11:56.878000,2023-01-30 19:02:45,1184.0,3.0,191,30.0,39.0,9.0,148.0,1351,Simple Python interface for Graphviz.,19.0,33,True,2022-07-23 11:35:06.076,0.20.1,56.0,graphviz,anaconda/python-graphviz,,,,47873.0,44634.0,https://pypi.org/project/graphviz,2022-07-23 11:35:06.076,3239.0,8303719.0,8304209.0,https://anaconda.org/anaconda/python-graphviz,2023-03-16 14:11:56.878,34834.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +188,adapter-transformers,Adapter-Hub/adapter-transformers,others,,https://github.com/adapter-hub/adapter-transformers,https://github.com/adapter-hub/adapter-transformers,Apache-2.0,2020-04-21 16:21:43.000,2023-03-16 08:16:22.000000,2023-03-16 08:16:21,12572.0,261.0,237,20.0,234.0,66.0,228.0,1312,Huggingface Transformers + Adapters =.,1711.0,33,True,2023-03-03 14:08:47.000,adapters3.2.0,17.0,adapter-transformers,,,,['huggingface'],142.0,136.0,https://pypi.org/project/adapter-transformers,2022-09-20 00:31:23.335,6.0,14594.0,14594.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +189,cartopy,SciTools/cartopy,data-viz,,https://github.com/SciTools/cartopy,https://github.com/SciTools/cartopy,LGPL-3.0,2012-08-03 07:43:59.000,2023-03-16 10:29:25.000000,2023-03-15 17:43:01,2752.0,44.0,337,57.0,1029.0,328.0,833.0,1191,Cartopy - a cartographic python library with matplotlib support.,121.0,33,False,2022-12-12 22:24:06.347,0.21.1,28.0,cartopy,conda-forge/cartopy,,,,3475.0,3138.0,https://pypi.org/project/cartopy,2022-12-12 22:24:06.347,337.0,60202.0,92909.0,https://anaconda.org/conda-forge/cartopy,2022-12-13 10:25:59.031,2747437.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +190,TensorFlow Transform,tensorflow/transform,tensorflow-utils,,https://github.com/tensorflow/transform,https://github.com/tensorflow/transform,Apache-2.0,2017-02-10 00:36:53.000,2023-03-13 16:57:44.000000,2023-03-13 16:57:43,869.0,24.0,202,60.0,96.0,37.0,163.0,948,Input pipeline framework.,27.0,33,True,2022-12-08 21:21:59.948,1.12.0,54.0,tensorflow-transform,,,,['tensorflow'],1290.0,1234.0,https://pypi.org/project/tensorflow-transform,2022-12-08 21:21:59.948,56.0,3565120.0,3565120.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +191,NIPYPE,nipy/nipype,medical-data,,https://github.com/nipy/nipype,https://github.com/nipy/nipype,Apache-2.0,2010-07-22 17:06:49.000,2023-03-09 19:03:39.000000,2023-03-02 19:51:33,14661.0,14.0,506,50.0,2242.0,392.0,933.0,661,Workflows and interfaces for neuroimaging packages.,241.0,33,True,2022-09-21 15:07:03.066,1.8.5,63.0,nipype,conda-forge/nipype,,,,1508.0,1344.0,https://pypi.org/project/nipype,2022-09-21 15:07:03.066,164.0,79017.0,85765.0,https://anaconda.org/conda-forge/nipype,2022-11-06 11:25:36.912,539869.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +192,Face Recognition,ageitgey/face_recognition,image,,https://github.com/ageitgey/face_recognition,https://github.com/ageitgey/face_recognition,MIT,2017-03-03 21:52:39.000,2023-03-15 13:58:36.000000,2022-06-10 09:12:18,238.0,,12782,1579.0,207.0,704.0,572.0,47581,The worlds simplest facial recognition api for Python and the command line.,54.0,32,True,2020-02-20 14:26:01.000,1.3.0,21.0,face_recognition,conda-forge/face_recognition,,,['pytorch'],55.0,,https://pypi.org/project/face_recognition,2020-02-20 14:26:01.000,55.0,57223.0,57712.0,https://anaconda.org/conda-forge/face_recognition,2021-04-30 19:06:15.265,14274.0,,,,,2.0,1001.0,,,,,,,,,,,,,,,,,,, +193,Recommenders,microsoft/recommenders,recommender-systems,,https://github.com/microsoft/recommenders,https://github.com/microsoft/recommenders,MIT,2018-09-19 10:06:07.000,2023-03-10 17:51:13.000000,2022-11-21 08:42:42,8228.0,,2658,262.0,1144.0,148.0,599.0,15248,Best Practices on Recommendation Systems.,123.0,32,True,2022-07-20 05:58:55.000,1.1.1,12.0,recommenders,,,,,64.0,62.0,https://pypi.org/project/recommenders,2022-07-20 05:38:00.306,2.0,22076.0,22081.0,,,,,,,,1.0,309.0,,,,,,,,,,,,,,,,,,, +194,Lime,marcotcr/lime,interpretability,,https://github.com/marcotcr/lime,https://github.com/marcotcr/lime,BSD-2-Clause,2016-03-15 22:18:10.000,2023-03-03 00:43:31.000000,2021-07-29 23:17:25,531.0,,1692,268.0,111.0,77.0,531.0,10531,Lime: Explaining the predictions of any machine learning classifier.,62.0,32,False,2020-04-03 22:05:03.000,0.2.0.0,38.0,lime,conda-forge/lime,,,,3470.0,3332.0,https://pypi.org/project/lime,2020-06-26 21:38:15.000,138.0,415580.0,417576.0,https://anaconda.org/conda-forge/lime,2022-09-23 13:59:18.301,149765.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +195,TFlearn,tflearn/tflearn,ml-frameworks,,https://github.com/tflearn/tflearn,https://github.com/tflearn/tflearn,MIT,2016-03-31 12:05:53.000,2021-01-25 09:41:59.000000,2020-11-30 04:34:51,613.0,,2415,464.0,255.0,570.0,362.0,9586,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'],4821.0,4332.0,https://pypi.org/project/tflearn,2020-11-11 19:13:47.000,489.0,16811.0,16811.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +196,wordcloud,amueller/word_cloud,data-viz,,https://github.com/amueller/word_cloud,https://github.com/amueller/word_cloud,MIT,2012-11-04 22:57:59.000,2023-02-25 21:09:03.000000,2023-01-04 06:19:56,556.0,2.0,2280,220.0,224.0,136.0,373.0,9326,A little word cloud generator in Python.,67.0,32,True,2020-11-11 21:41:02.000,1.8.1,17.0,wordcloud,conda-forge/wordcloud,,,,789.0,,https://pypi.org/project/wordcloud,2022-06-27 18:29:11.000,789.0,823440.0,828278.0,https://anaconda.org/conda-forge/wordcloud,2022-08-25 22:09:30.453,382279.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +197,TPOT,EpistasisLab/tpot,hyperopt,,https://github.com/EpistasisLab/tpot,https://github.com/EpistasisLab/tpot,LGPL-3.0,2015-11-03 21:08:40.000,2023-01-29 18:43:21.000000,2022-07-29 17:42:53,2390.0,,1505,293.0,415.0,272.0,607.0,8985,A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.,112.0,32,False,2021-01-06 15:20:08.000,0.11.7,60.0,tpot,conda-forge/tpot,,,['sklearn'],2074.0,2016.0,https://pypi.org/project/tpot,2021-01-06 15:20:08.000,58.0,37234.0,39784.0,https://anaconda.org/conda-forge/tpot,2021-03-05 04:04:38.005,198934.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +198,OCRmyPDF,ocrmypdf/OCRmyPDF,ocr,,https://github.com/ocrmypdf/OCRmyPDF,https://github.com/ocrmypdf/OCRmyPDF,MPL-2.0,2013-12-20 08:26:28.000,2023-02-24 14:10:30.678000,2023-02-15 20:00:26,3372.0,15.0,669,129.0,138.0,107.0,834.0,8447,"OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them to be searched.",79.0,32,True,2023-02-15 21:31:01.424,14.0.3,208.0,ocrmypdf,conda-forge/ocrmypdf,,,,505.0,489.0,https://pypi.org/project/ocrmypdf,2023-01-04 04:26:00.792,16.0,26617.0,28171.0,https://anaconda.org/conda-forge/ocrmypdf,2023-02-24 14:10:30.678,38871.0,,,,,2.0,,,,,,,,,ocrmypdf,ocrmypdf,,,,,,,,,, +199,tsfresh,blue-yonder/tsfresh,time-series-data,,https://github.com/blue-yonder/tsfresh,https://github.com/blue-yonder/tsfresh,MIT,2016-10-26 11:29:17.000,2023-02-28 21:06:45.000000,2023-02-28 21:06:05,532.0,20.0,1119,161.0,412.0,61.0,460.0,7154,Automatic extraction of relevant features from time series:.,85.0,32,True,2023-01-02 17:33:26.842,0.20.0,29.0,tsfresh,conda-forge/tsfresh,,,['sklearn'],71.0,,https://pypi.org/project/tsfresh,2023-01-02 17:33:26.842,71.0,291978.0,301673.0,https://anaconda.org/conda-forge/tsfresh,2022-12-31 04:32:34.503,620486.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +200,auto-sklearn,automl/auto-sklearn,hyperopt,,https://github.com/automl/auto-sklearn,https://github.com/automl/auto-sklearn,BSD-3-Clause,2015-07-02 15:38:10.000,2023-03-14 07:01:10.000000,2022-12-07 08:59:21,2758.0,,1211,213.0,688.0,148.0,816.0,6783,Automated Machine Learning with scikit-learn.,88.0,32,True,2023-02-13 12:35:21.000,0.15.0,42.0,auto-sklearn,conda-forge/auto-sklearn,,,['sklearn'],443.0,412.0,https://pypi.org/project/auto-sklearn,2022-09-20 10:32:07.471,31.0,38418.0,39032.0,https://anaconda.org/conda-forge/auto-sklearn,2022-09-21 23:06:55.991,14141.0,,,,,2.0,42.0,,,,,,,,,,,,,,,,,,, +201,Bayesian Optimization,fmfn/BayesianOptimization,hyperopt,,https://github.com/fmfn/BayesianOptimization,https://github.com/fmfn/BayesianOptimization,MIT,2014-06-06 08:18:56.000,2023-03-06 04:57:00.000000,2023-03-06 04:57:00,319.0,5.0,1419,136.0,104.0,22.0,279.0,6624,A Python implementation of global optimization with gaussian processes.,38.0,32,True,2022-12-04 06:03:00.543,1.4.2,13.0,bayesian-optimization,,,,,1783.0,1682.0,https://pypi.org/project/bayesian-optimization,2022-12-04 06:03:00.543,101.0,187526.0,187527.0,,,,,,,,2.0,116.0,,,,,,,,,,,,,,,,,,, +202,PaddleSeg,PaddlePaddle/PaddleSeg,image,,https://github.com/PaddlePaddle/PaddleSeg,https://github.com/PaddlePaddle/PaddleSeg,Apache-2.0,2019-08-26 02:32:22.000,2023-03-16 09:30:52.000000,2023-02-27 03:22:01,2709.0,11.0,1398,79.0,1447.0,168.0,1445.0,6584,"Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in..",96.0,32,True,2022-11-30 11:24:02.578,2.7.0,17.0,paddleseg,,,,['paddle'],836.0,833.0,https://pypi.org/project/paddleseg,2022-11-30 11:24:02.578,3.0,4710.0,4710.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +203,Metaflow,Netflix/metaflow,ml-experiments,,https://github.com/Netflix/metaflow,https://github.com/Netflix/metaflow,Apache-2.0,2019-09-17 17:48:25.000,2023-03-16 00:44:19.160000,2023-03-15 19:47:47,637.0,38.0,618,249.0,821.0,268.0,264.0,6482,Build and manage real-life data science projects with ease!.,65.0,32,True,2023-03-15 20:55:02.107,2.8.1,74.0,metaflow,conda-forge/metaflow,,,,456.0,442.0,https://pypi.org/project/metaflow,2023-01-26 18:48:00.442,14.0,117015.0,119604.0,https://anaconda.org/conda-forge/metaflow,2023-03-16 00:44:19.160,100976.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +204,tensorpack,tensorpack/tensorpack,ml-frameworks,,https://github.com/tensorpack/tensorpack,https://github.com/tensorpack/tensorpack,Apache-2.0,2015-12-25 23:08:44.000,2022-12-28 06:22:25.000000,2022-11-26 10:13:22,2940.0,,1855,201.0,206.0,8.0,1343.0,6256,"A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility.",58.0,32,True,2020-04-24 19:01:06.000,0.10.1,37.0,tensorpack,conda-forge/tensorpack,,,['tensorflow'],1260.0,1213.0,https://pypi.org/project/tensorpack,2021-01-22 08:44:03.000,47.0,14001.0,14483.0,https://anaconda.org/conda-forge/tensorpack,2022-02-06 19:35:57.930,8162.0,,,,,3.0,147.0,,,,,,,,,,,,,,,,,,, +205,H2O-3,h2oai/h2o-3,distributed-ml,,https://github.com/h2oai/h2o-3,https://github.com/h2oai/h2o-3,Apache-2.0,2014-03-03 16:08:07.000,2023-03-16 14:32:29.000000,2023-03-15 04:32:46,31723.0,186.0,1942,393.0,6440.0,206.0,,6177,"H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM)..",240.0,32,True,,,141.0,h2o,,,,,81.0,,https://pypi.org/project/h2o,2023-02-08 23:36:45.469,81.0,414383.0,414383.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +206,DeepPavlov,deepmipt/DeepPavlov,nlp,,https://github.com/deeppavlov/DeepPavlov,https://github.com/deeppavlov/DeepPavlov,Apache-2.0,2017-11-17 14:35:29.000,2023-03-16 11:12:03.000000,2023-03-14 17:12:35,2673.0,10.0,1093,210.0,1007.0,53.0,571.0,6081,An open source library for deep learning end-to-end dialog systems and chatbots.,73.0,32,True,2023-03-14 17:25:01.378,1.1.1,58.0,deeppavlov,,,,['tensorflow'],333.0,327.0,https://pypi.org/project/deeppavlov,2023-02-17 09:49:00.602,6.0,8219.0,8219.0,,,,,,,,2.0,,,,,,,,,,,,deeppavlov/DeepPavlov,,,,,,,, +207,GluonCV,dmlc/gluon-cv,image,,https://github.com/dmlc/gluon-cv,https://github.com/dmlc/gluon-cv,Apache-2.0,2018-02-26 01:33:21.000,2023-01-19 00:37:33.000000,2023-01-19 00:37:33,900.0,1.0,1187,154.0,950.0,59.0,775.0,5481,Gluon CV Toolkit.,117.0,32,True,2022-03-07 23:40:19.000,0.10.5,1535.0,gluoncv,,,,['mxnet'],1111.0,1052.0,https://pypi.org/project/gluoncv,2022-10-03 09:02:28.503,59.0,540909.0,540909.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +208,PML,KevinMusgrave/pytorch-metric-learning,pytorch-utils,,https://github.com/KevinMusgrave/pytorch-metric-learning,https://github.com/KevinMusgrave/pytorch-metric-learning,MIT,2019-10-23 17:20:35.000,2023-02-21 17:34:17.000000,2023-02-21 17:33:18,1091.0,67.0,609,66.0,108.0,42.0,391.0,5114,"The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.",31.0,32,True,2023-02-21 17:34:17.000,2.0.1,202.0,pytorch-metric-learning,metric-learning/pytorch-metric-learning,,,['pytorch'],557.0,540.0,https://pypi.org/project/pytorch-metric-learning,2023-01-29 23:06:00.815,17.0,173125.0,173382.0,https://anaconda.org/metric-learning/pytorch-metric-learning,2022-11-01 23:17:24.322,9771.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +209,VisualDL,PaddlePaddle/VisualDL,ml-experiments,,https://github.com/PaddlePaddle/VisualDL,https://github.com/PaddlePaddle/VisualDL,Apache-2.0,2017-12-20 12:34:31.000,2023-03-16 05:55:06.000000,2023-03-16 05:55:06,915.0,20.0,619,148.0,781.0,131.0,343.0,4559,Deep Learning Visualization Toolkit.,32.0,32,True,2023-03-03 04:46:06.678,2.5.1,41.0,visualdl,,,,['paddle'],1826.0,1788.0,https://pypi.org/project/visualdl,2023-01-17 11:38:01.856,38.0,105850.0,105858.0,,,,,,,,2.0,276.0,,,,,,,,,,,,,,,,,,, +210,Ignite,pytorch/ignite,ml-frameworks,,https://github.com/pytorch/ignite,https://github.com/pytorch/ignite,BSD-3-Clause,2017-11-23 17:31:21.000,2023-03-15 18:48:30.000000,2023-03-15 09:42:40,1551.0,50.0,587,60.0,1682.0,147.0,1068.0,4220,High-level library to help with training and evaluating neural networks in PyTorch flexibly and transparently.,190.0,32,True,2023-02-18 01:39:01.496,0.4.11,1200.0,pytorch-ignite,pytorch/ignite,,,['pytorch'],33.0,,https://pypi.org/project/pytorch-ignite,2022-11-08 00:18:55.000,33.0,98105.0,100368.0,https://anaconda.org/pytorch/ignite,2023-02-18 01:37:11.804,129033.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +211,River,online-ml/river,others,,https://github.com/online-ml/river,https://github.com/online-ml/river,BSD-3-Clause,2019-01-24 15:18:26.000,2023-03-06 09:48:57.000000,2023-03-06 09:33:31,3568.0,71.0,459,84.0,450.0,10.0,394.0,4141,Online machine learning in Python.,95.0,32,True,2023-01-30 07:27:43.000,0.15.0,13.0,river,conda-forge/river,,,,269.0,247.0,https://pypi.org/project/river,2023-01-29 23:10:00.782,22.0,17094.0,18380.0,https://anaconda.org/conda-forge/river,2022-10-31 03:47:59.947,29592.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +212,sacred,IDSIA/sacred,ml-experiments,,https://github.com/IDSIA/sacred,https://github.com/IDSIA/sacred,MIT,2014-03-31 18:05:29.000,2023-02-24 14:28:50.000000,2023-02-24 14:28:50,1340.0,14.0,366,70.0,362.0,92.0,458.0,4008,"Sacred is a tool to help you configure, organize, log and reproduce experiments developed at IDSIA.",104.0,32,True,2023-01-25 17:37:52.489,0.8.4,28.0,sacred,conda-forge/sacred,,,,2301.0,2198.0,https://pypi.org/project/sacred,2023-01-25 17:37:52.489,103.0,45190.0,45348.0,https://anaconda.org/conda-forge/sacred,2021-11-14 09:49:23.948,2543.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +213,Haiku,deepmind/dm-haiku,ml-frameworks,,https://github.com/deepmind/dm-haiku,https://github.com/deepmind/dm-haiku,Apache-2.0,2020-02-18 07:14:02.000,2023-03-16 14:17:55.000000,2023-03-14 16:35:31,861.0,29.0,200,40.0,407.0,90.0,154.0,2400,JAX-based neural network library.,72.0,32,True,2022-11-16 12:15:37.678,0.0.9,12.0,dm-haiku,conda-forge/dm-haiku,,,,1156.0,1112.0,https://pypi.org/project/dm-haiku,2022-11-16 12:15:37.678,44.0,135930.0,136305.0,https://anaconda.org/conda-forge/dm-haiku,2022-09-21 19:38:58.042,9393.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +214,hdbscan,scikit-learn-contrib/hdbscan,others,,https://github.com/scikit-learn-contrib/hdbscan,https://github.com/scikit-learn-contrib/hdbscan,BSD-3-Clause,2015-04-22 13:32:37.000,2023-02-05 19:19:05.978000,2022-11-10 18:59:22,964.0,,438,55.0,125.0,312.0,161.0,2385,A high performance implementation of HDBSCAN clustering.,81.0,32,True,2022-10-31 20:21:51.000,0.8.29-1,45.0,hdbscan,conda-forge/hdbscan,,,['sklearn'],2166.0,2000.0,https://pypi.org/project/hdbscan,2022-10-31 17:25:01.906,166.0,513195.0,531203.0,https://anaconda.org/conda-forge/hdbscan,2023-02-05 19:19:05.978,1440707.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +215,pgmpy,pgmpy/pgmpy,probabilistics,,https://github.com/pgmpy/pgmpy,https://github.com/pgmpy/pgmpy,MIT,2013-09-20 08:18:58.000,2023-03-14 14:23:25.000000,2023-03-12 01:43:06,2864.0,17.0,663,77.0,806.0,235.0,597.0,2295,"Python Library for learning (Structure and Parameter), inference (Probabilistic and Causal), and simulations in..",114.0,32,True,2023-01-02 18:14:12.632,0.1.21,20.0,pgmpy,,,,,572.0,561.0,https://pypi.org/project/pgmpy,2023-01-02 18:14:12.632,11.0,68176.0,68182.0,,,,,,,,2.0,203.0,,,,,,,,,,,,,,,,,,, +216,FairScale,facebookresearch/fairscale,distributed-ml,,https://github.com/facebookresearch/fairscale,https://github.com/facebookresearch/fairscale,BSD-3-Clause,2020-07-07 19:02:01.000,2023-03-10 01:54:27.000000,2023-03-10 01:54:27,696.0,5.0,206,36.0,774.0,64.0,274.0,2116,PyTorch extensions for high performance and large scale training.,69.0,32,True,2022-12-11 18:09:31.906,0.4.13,35.0,fairscale,conda-forge/fairscale,,,['pytorch'],1631.0,1605.0,https://pypi.org/project/fairscale,2022-12-11 18:09:31.906,26.0,547179.0,553222.0,https://anaconda.org/conda-forge/fairscale,2022-12-12 02:08:24.604,96701.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +217,Lifelines,CamDavidsonPilon/lifelines,medical-data,,https://github.com/CamDavidsonPilon/lifelines,https://github.com/CamDavidsonPilon/lifelines,MIT,2013-08-28 00:16:42.000,2023-03-14 14:15:56.000000,2023-03-14 14:15:56,2223.0,6.0,517,69.0,464.0,238.0,659.0,2053,Survival analysis in Python.,103.0,32,True,2022-11-17 04:08:00.930,0.27.4,165.0,lifelines,conda-forge/lifelines,,,,1561.0,1452.0,https://pypi.org/project/lifelines,2022-11-17 04:08:00.930,109.0,431308.0,434316.0,https://anaconda.org/conda-forge/lifelines,2022-11-17 15:11:18.052,243704.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +218,TFX,tensorflow/tfx,tensorflow-utils,,https://github.com/tensorflow/tfx,https://github.com/tensorflow/tfx,Apache-2.0,2019-02-04 17:14:36.000,2023-03-16 07:14:42.000000,2023-03-16 02:39:27,4989.0,142.0,634,92.0,4952.0,202.0,694.0,1908,TFX is an end-to-end platform for deploying production ML pipelines.,168.0,32,True,2022-12-19 18:20:02.734,1.12.0,91.0,tfx,,,,['tensorflow'],13.0,,https://pypi.org/project/tfx,2022-12-19 18:20:02.734,13.0,401257.0,401257.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +219,Pythran,serge-sans-paille/pythran,others,,https://github.com/serge-sans-paille/pythran,https://github.com/serge-sans-paille/pythran,BSD-3-Clause,2012-05-29 08:02:14.000,2023-03-14 18:09:54.000000,2023-03-14 18:09:53,3615.0,39.0,184,53.0,1294.0,122.0,685.0,1868,Ahead of Time compiler for numeric kernels.,68.0,32,True,2023-01-15 07:55:46.624,0.12.1,54.0,pythran,conda-forge/pythran,,,,621.0,601.0,https://pypi.org/project/pythran,2023-01-15 07:55:46.624,20.0,301749.0,307423.0,https://anaconda.org/conda-forge/pythran,2023-01-15 13:36:54.677,329115.0,,,,,2.0,,,,,,,,,,,,,,,,,,pythran,python-pythran, +220,Geocoder,DenisCarriere/geocoder,geospatial-data,,https://github.com/DenisCarriere/geocoder,https://github.com/DenisCarriere/geocoder,MIT,2014-01-13 04:19:21.000,2022-08-17 17:00:40.000000,2018-10-12 15:53:05,1251.0,,269,50.0,153.0,99.0,217.0,1514,Python Geocoder.,73.0,32,False,2018-04-04 12:34:51.000,1.38.1,110.0,geocoder,conda-forge/geocoder,,,,7041.0,6549.0,https://pypi.org/project/geocoder,2018-04-04 12:34:51.000,492.0,498975.0,500607.0,https://anaconda.org/conda-forge/geocoder,2019-06-27 16:40:50.469,119152.0,,,,,2.0,,,,,,,,,,,,,,,,,,,,geocoder +221,tensorly,tensorly/tensorly,others,,https://github.com/tensorly/tensorly,https://github.com/tensorly/tensorly,BSD-2-Clause,2016-10-21 23:14:52.000,2023-03-09 23:26:10.000000,2023-03-08 06:36:00,1755.0,85.0,269,46.0,244.0,58.0,180.0,1370,TensorLy: Tensor Learning in Python.,60.0,32,True,2023-03-08 01:09:02.237,0.8.1,20.0,tensorly,conda-forge/tensorly,,,,409.0,368.0,https://pypi.org/project/tensorly,2023-01-14 21:19:00.648,41.0,14692.0,20855.0,https://anaconda.org/conda-forge/tensorly,2023-03-09 18:03:34.129,357474.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +222,ipyleaflet,jupyter-widgets/ipyleaflet,geospatial-data,,https://github.com/jupyter-widgets/ipyleaflet,https://github.com/jupyter-widgets/ipyleaflet,MIT,2014-05-07 16:32:10.000,2023-03-02 23:14:08.000000,2023-02-10 13:49:02,1145.0,1.0,351,61.0,562.0,232.0,332.0,1337,A Jupyter - Leaflet.js bridge.,82.0,32,True,2022-10-19 07:57:17.000,0.17.2,76.0,ipyleaflet,conda-forge/ipyleaflet,,,['jupyter'],4011.0,3879.0,https://pypi.org/project/ipyleaflet,2022-10-19 07:45:44.840,127.0,161763.0,234926.0,https://anaconda.org/conda-forge/ipyleaflet,2022-10-19 12:34:41.863,971572.0,,,,,2.0,,,,jupyter-leaflet,https://www.npmjs.com/package/jupyter-leaflet,2022-10-19 07:43:02.682,5.0,61315.0,,,,,,,,,,,, +223,pmdarima,alkaline-ml/pmdarima,time-series-data,,https://github.com/alkaline-ml/pmdarima,https://github.com/alkaline-ml/pmdarima,MIT,2017-03-30 14:58:30.000,2023-03-15 20:49:24.000000,2023-03-15 20:23:50,1069.0,2.0,220,36.0,238.0,41.0,266.0,1329,"A statistical library designed to fill the void in Pythons time series analysis capabilities, including the equivalent..",22.0,32,True,2023-03-15 20:50:50.683,2.0.3,43.0,pmdarima,conda-forge/pmdarima,,,,4858.0,4788.0,https://pypi.org/project/pmdarima,2022-11-28 13:52:23.831,70.0,1784537.0,1796635.0,https://anaconda.org/conda-forge/pmdarima,2022-11-30 20:17:51.334,350858.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +224,emcee,dfm/emcee,probabilistics,,https://github.com/dfm/emcee,https://github.com/dfm/emcee,MIT,2011-11-07 16:17:08.000,2023-03-15 23:36:00.000000,2023-02-08 15:45:39,910.0,11.0,429,88.0,189.0,49.0,230.0,1297,The Python ensemble sampling toolkit for affine-invariant MCMC.,67.0,32,True,2023-01-27 12:31:39.836,3.1.4,24.0,emcee,conda-forge/emcee,,,,2092.0,1779.0,https://pypi.org/project/emcee,2023-01-27 12:31:39.836,313.0,119271.0,122599.0,https://anaconda.org/conda-forge/emcee,2023-01-27 19:25:06.868,272944.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +225,igraph,igraph/python-igraph,graph,,https://github.com/igraph/python-igraph,https://github.com/igraph/python-igraph,GPL-2.0,2015-01-08 23:55:16.000,2023-03-16 14:20:38.000000,2023-03-16 14:20:38,2513.0,56.0,238,36.0,168.0,40.0,430.0,1077,Python interface for igraph.,70.0,32,False,2023-01-28 13:30:00.570,0.10.4,34.0,python-igraph,conda-forge/igraph,,,,1853.0,1469.0,https://pypi.org/project/python-igraph,2023-01-28 13:30:00.570,384.0,275556.0,288090.0,https://anaconda.org/conda-forge/igraph,2023-01-13 13:36:57.123,386312.0,,,,,1.0,548573.0,,,,,,,,,,,,,,,,,,, +226,pyopencl,inducer/pyopencl,others,,https://github.com/inducer/pyopencl,https://github.com/inducer/pyopencl,MIT,2011-04-06 02:51:33.000,2023-03-14 02:05:40.000000,2023-03-14 02:05:40,3239.0,16.0,239,48.0,330.0,70.0,258.0,959,"OpenCL integration for Python, plus shiny features.",94.0,32,True,2023-01-04 00:34:00.812,2022.3.1,89.0,pyopencl,conda-forge/pyopencl,,,,1636.0,1444.0,https://pypi.org/project/pyopencl,2023-01-04 00:34:00.812,192.0,105133.0,115662.0,https://anaconda.org/conda-forge/pyopencl,2023-01-05 08:59:26.768,810768.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +227,scikit-learn-intelex,intel/scikit-learn-intelex,sklearn-utils,,https://github.com/intel/scikit-learn-intelex,https://github.com/intel/scikit-learn-intelex,Apache-2.0,2018-08-07 06:45:41.000,2023-03-16 13:09:10.000000,2023-03-16 10:20:44,1279.0,74.0,148,28.0,1015.0,79.0,125.0,914,Intel(R) Extension for Scikit-learn is a seamless way to speed up your Scikit-learn application.,67.0,32,True,2023-01-23 12:22:01.687,2023.0.2,17.0,scikit-learn-intelex,conda-forge/scikit-learn-intelex,,,['sklearn'],5098.0,5085.0,https://pypi.org/project/scikit-learn-intelex,2023-01-23 12:22:01.687,13.0,142683.0,148709.0,https://anaconda.org/conda-forge/scikit-learn-intelex,2023-01-31 20:12:41.191,138606.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +228,Hail,hail-is/hail,medical-data,,https://github.com/hail-is/hail,https://github.com/hail-is/hail,MIT,2015-10-27 20:55:42.000,2023-03-16 14:43:51.000000,2023-03-16 14:43:51,10507.0,172.0,226,60.0,10762.0,57.0,2024.0,869,Scalable genomic data analysis.,84.0,32,True,2023-03-14 19:10:00.758,0.2.111,131.0,hail,,,,['spark'],106.0,93.0,https://pypi.org/project/hail,2023-01-17 19:54:01.500,13.0,43488.0,43488.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +229,huggingface_hub,huggingface/huggingface_hub,model-serialisation,,https://github.com/huggingface/huggingface_hub,https://github.com/huggingface/huggingface_hub,Apache-2.0,2020-12-22 10:20:28.000,2023-03-16 14:06:54.000000,2023-03-14 15:12:55,926.0,77.0,178,50.0,871.0,86.0,350.0,746,All the open source things related to the Hugging Face Hub.,89.0,32,True,2023-03-13 17:47:54.000,0.13.2,61.0,huggingface_hub,conda-forge/huggingface_hub,,,,188.0,,https://pypi.org/project/huggingface_hub,2023-01-25 17:14:55.240,188.0,9951645.0,9987907.0,https://anaconda.org/conda-forge/huggingface_hub,2023-03-13 21:17:36.955,906568.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +230,tensorflow-upstream,ROCmSoftwarePlatform/tensorflow-upstream,ml-frameworks,,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,https://github.com/ROCmSoftwarePlatform/tensorflow-upstream,Apache-2.0,2018-04-09 21:24:50.000,2023-03-15 20:58:15.000000,2023-03-08 22:31:12,148197.0,3822.0,74,50.0,1682.0,71.0,274.0,632,TensorFlow ROCm port.,4317.0,32,True,2022-12-06 16:42:53.965,2.9.4,92.0,tensorflow-rocm,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-rocm,2022-12-06 16:42:53.965,5.0,2344.0,2344.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +231,DIPY,dipy/dipy,medical-data,,https://github.com/dipy/dipy,https://github.com/dipy/dipy,BSD-3-Clause,2010-02-06 11:43:08.000,2023-03-13 17:59:22.000000,2023-03-08 02:42:34,12475.0,110.0,362,53.0,1811.0,151.0,688.0,582,"DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal..",136.0,32,True,2023-01-16 21:23:02.016,1.6.0,25.0,dipy,conda-forge/dipy,,,,810.0,722.0,https://pypi.org/project/dipy,2023-01-16 21:23:02.016,88.0,14392.0,18827.0,https://anaconda.org/conda-forge/dipy,2023-01-26 18:13:04.005,363725.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +232,spleeter,deezer/spleeter,audio,,https://github.com/deezer/spleeter,https://github.com/deezer/spleeter,MIT,2019-09-26 15:40:46.000,2023-02-20 00:23:32.000000,2022-11-25 10:25:05,496.0,,2392,373.0,110.0,190.0,551.0,21905,Deezer source separation library including pretrained models.,19.0,31,True,2022-09-07 11:40:35.136,2.3.2,36.0,spleeter,conda-forge/spleeter,,,['tensorflow'],474.0,469.0,https://pypi.org/project/spleeter,2022-09-07 11:40:35.136,5.0,14200.0,69368.0,https://anaconda.org/conda-forge/spleeter,2020-06-30 14:33:43.220,73395.0,,,,,2.0,2186719.0,,,,,,,,,,,,,,,,,,, +233,ColossalAI,hpcaitech/colossalai,distributed-ml,,https://github.com/hpcaitech/ColossalAI,https://github.com/hpcaitech/ColossalAI,Apache-2.0,2021-10-28 16:19:44.000,2023-03-16 13:02:52.000000,2023-03-15 05:46:04,2121.0,603.0,1993,214.0,2296.0,283.0,419.0,18750,"Making large AI models cheaper, faster and more accessible.",108.0,31,True,2023-03-10 06:57:12.000,0.2.6,28.0,,,,,,184.0,184.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +234,Magenta,magenta/magenta,audio,,https://github.com/magenta/magenta,https://github.com/magenta/magenta,Apache-2.0,2016-05-05 20:10:40.000,2023-01-18 21:45:23.000000,2023-01-18 21:45:16,1419.0,2.0,3719,778.0,1125.0,369.0,585.0,18285,Magenta: Music and Art Generation with Machine Intelligence.,155.0,31,True,2022-08-01 18:23:00.243,2.1.4,67.0,magenta,,,,['tensorflow'],449.0,411.0,https://pypi.org/project/magenta,2022-08-01 18:23:00.243,38.0,6960.0,6960.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +235,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,,4379,1269.0,557.0,843.0,2540.0,17330,"Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit.",273.0,31,True,2019-04-26 14:13:32.000,2.7,32.0,cntk,,,,,18.0,,https://pypi.org/project/cntk,2020-12-09 22:21:57.000,18.0,707.0,870.0,,,,,,,,3.0,14082.0,,,,,,,,,,,,,,,,,,, +236,Qlib,microsoft/qlib,financial-data,,https://github.com/microsoft/qlib,https://github.com/microsoft/qlib,MIT,2020-08-14 06:46:00.000,2023-03-16 12:26:00.000000,2023-03-15 13:15:40,1905.0,18.0,1863,252.0,772.0,216.0,520.0,10506,"Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research,..",112.0,31,True,2023-01-29 10:56:26.544,0.9.1,29.0,pyqlib,,,,['pytorch'],41.0,41.0,https://pypi.org/project/pyqlib,2023-01-29 10:56:26.544,,2356.0,2367.0,,,,,,,,1.0,335.0,,,,,,,,,,,,,,,,,,, +237,pretrainedmodels,Cadene/pretrained-models.pytorch,pytorch-utils,,https://github.com/Cadene/pretrained-models.pytorch,https://github.com/Cadene/pretrained-models.pytorch,BSD-3-Clause,2017-04-09 15:54:23.000,2022-04-22 09:08:45.000000,2020-04-16 08:02:22,154.0,,1840,223.0,46.0,96.0,94.0,8720,"Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.",22.0,31,False,2018-10-29 08:18:45.000,0.7.4,16.0,pretrainedmodels,conda-forge/pretrainedmodels,,,['pytorch'],2358.0,2266.0,https://pypi.org/project/pretrainedmodels,2018-10-29 08:18:45.000,92.0,97474.0,98077.0,https://anaconda.org/conda-forge/pretrainedmodels,2021-04-30 19:04:30.054,19907.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +238,FinRL,AI4Finance-Foundation/FinRL,reinforcement-learning,,https://github.com/AI4Finance-Foundation/FinRL,https://github.com/AI4Finance-Foundation/FinRL,MIT,2020-07-26 13:18:16.000,2023-03-14 20:12:47.000000,2023-03-14 20:12:46,2704.0,150.0,1681,173.0,306.0,95.0,456.0,6936,FinRL: Financial Reinforcement Learning.,89.0,31,True,2023-02-07 13:58:00.815,0.3.6,8.0,finrl,,,,,20.0,20.0,https://pypi.org/project/finrl,2022-07-25 13:29:00.262,,2126.0,2126.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +239,DoWhy,py-why/dowhy,interpretability,,https://github.com/py-why/dowhy,https://github.com/py-why/dowhy,MIT,2018-05-31 13:07:04.000,2023-03-16 14:34:17.000000,2023-03-16 13:19:35,840.0,54.0,805,136.0,519.0,110.0,244.0,5735,DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions...,71.0,31,True,2022-12-17 06:19:01.299,0.9.1,11.0,dowhy,conda-forge/dowhy,,,,219.0,214.0,https://pypi.org/project/dowhy,2022-12-17 06:19:01.299,5.0,58450.0,58809.0,https://anaconda.org/conda-forge/dowhy,2022-07-19 11:17:50.796,12221.0,,,,,2.0,31.0,,,,,,,,,,,,,,,,,,, +240,Darts,unit8co/darts,time-series-data,,https://github.com/unit8co/darts,https://github.com/unit8co/darts,Apache-2.0,2018-09-13 15:17:28.000,2023-03-15 09:24:44.000000,2023-03-12 17:37:24,962.0,60.0,608,46.0,715.0,211.0,735.0,5550,A python library for user-friendly forecasting and anomaly detection on time series.,82.0,31,True,2023-01-12 12:53:02.898,0.23.1,34.0,u8darts,conda-forge/u8darts-all,unit8/darts,,,214.0,208.0,https://pypi.org/project/u8darts,2023-01-12 12:53:02.898,6.0,13632.0,14789.0,https://anaconda.org/conda-forge/u8darts-all,2023-01-12 20:41:12.563,23009.0,https://hub.docker.com/r/unit8/darts,2023-01-12 12:58:48.377478,,378.0,2.0,,,,,,,,,,,,,,,,,,,, +241,cuDF,rapidsai/cudf,gpu-utilities,,https://github.com/rapidsai/cudf,https://github.com/rapidsai/cudf,Apache-2.0,2017-05-07 03:43:37.000,2023-03-16 12:43:19.000000,2023-03-15 21:51:33,36340.0,289.0,676,137.0,7681.0,815.0,4506.0,5390,cuDF - GPU DataFrame Library.,259.0,31,True,2023-02-09 16:14:34.000,23.02.00,34.0,cudf,,,,,7.0,,https://pypi.org/project/cudf,2020-06-01 20:07:47.000,7.0,2040.0,2040.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +242,DEAP,deap/deap,distributed-ml,,https://github.com/DEAP/deap,https://github.com/DEAP/deap,LGPL-3.0,2014-05-21 20:07:39.000,2023-03-10 20:30:31.000000,2023-02-05 17:30:02,2235.0,6.0,1044,194.0,207.0,258.0,267.0,5017,Distributed Evolutionary Algorithms in Python.,79.0,31,False,2022-08-08 11:13:02.278,1.3.3,21.0,deap,conda-forge/deap,,,,3701.0,3357.0,https://pypi.org/project/deap,2022-08-08 11:13:02.278,344.0,171843.0,175064.0,https://anaconda.org/conda-forge/deap,2022-10-29 13:22:14.841,260946.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +243,Tesseract,madmaze/pytesseract,ocr,,https://github.com/madmaze/pytesseract,https://github.com/madmaze/pytesseract,Apache-2.0,2010-10-27 23:02:49.000,2023-03-07 21:07:49.000000,2023-03-07 21:07:44,521.0,8.0,639,107.0,149.0,25.0,303.0,4696,Python-tesseract is an optical character recognition (OCR) tool for python.,43.0,31,True,2022-08-16 19:20:38.334,0.3.10,27.0,pytesseract,conda-forge/pytesseract,,,,1030.0,,https://pypi.org/project/pytesseract,2022-08-16 19:20:38.334,1030.0,752010.0,764564.0,https://anaconda.org/conda-forge/pytesseract,2022-03-15 01:11:17.076,552408.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +244,imutils,PyImageSearch/imutils,image,,https://github.com/PyImageSearch/imutils,https://github.com/PyImageSearch/imutils,MIT,2015-01-11 20:05:39.000,2023-01-18 13:25:06.000000,2022-01-27 13:24:16,139.0,,1006,153.0,112.0,150.0,78.0,4312,"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,,,,32817.0,32036.0,https://pypi.org/project/imutils,2021-01-15 10:53:17.000,781.0,356814.0,359583.0,https://anaconda.org/conda-forge/imutils,2022-11-06 01:39:14.437,124631.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +245,missingno,ResidentMario/missingno,data-viz,,https://github.com/ResidentMario/missingno,https://github.com/ResidentMario/missingno,MIT,2016-03-27 15:18:50.000,2023-02-26 20:11:11.000000,2023-02-26 20:07:33,189.0,3.0,442,69.0,37.0,8.0,118.0,3484,Missing data visualization module for Python.,18.0,31,True,2023-02-26 20:11:59.371,0.5.2,26.0,missingno,conda-forge/missingno,,,,10627.0,10495.0,https://pypi.org/project/missingno,2022-02-27 20:39:36.000,132.0,444822.0,448676.0,https://anaconda.org/conda-forge/missingno,2020-02-15 10:07:41.253,262105.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +246,bqplot,bqplot/bqplot,data-viz,,https://github.com/bqplot/bqplot,https://github.com/bqplot/bqplot,Apache-2.0,2015-09-26 04:02:18.000,2023-03-14 21:12:21.000000,2023-02-15 15:12:02,3633.0,88.0,472,106.0,1012.0,250.0,362.0,3418,Plotting library for IPython/Jupyter notebooks.,60.0,31,True,2022-09-02 15:04:31.743,0.12.36,104.0,bqplot,conda-forge/bqplot,,,['jupyter'],154.0,38.0,https://pypi.org/project/bqplot,2022-09-02 15:04:31.743,102.0,144717.0,161932.0,https://anaconda.org/conda-forge/bqplot,2022-09-02 17:23:26.370,1121485.0,,,,,2.0,,,,bqplot,https://www.npmjs.com/package/bqplot,2022-09-02 10:57:18.327,14.0,3539.0,,,,,,,,,,,, +247,GluonTS,awslabs/gluon-ts,time-series-data,,https://github.com/awslabs/gluonts,https://github.com/awslabs/gluonts,Apache-2.0,2019-05-15 17:17:29.000,2023-03-16 14:02:02.000000,2023-03-09 14:22:12,1244.0,125.0,683,72.0,1519.0,254.0,571.0,3412,Probabilistic time series modeling in Python.,101.0,31,True,2023-03-16 11:38:00.792,0.12.4,82.0,gluonts,anaconda/gluonts,,,['mxnet'],13.0,,https://pypi.org/project/gluonts,2022-06-30 19:47:56.000,13.0,140699.0,140714.0,https://anaconda.org/anaconda/gluonts,2021-10-14 12:53:07.201,265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +248,TorchServe,pytorch/serve,model-serialisation,,https://github.com/pytorch/serve,https://github.com/pytorch/serve,Apache-2.0,2019-10-03 03:17:43.000,2023-03-16 08:19:08.000000,2023-03-13 22:14:17,3335.0,41.0,694,53.0,1009.0,232.0,957.0,3256,"Serve, optimize and scale PyTorch models in production.",152.0,31,True,2023-02-09 00:00:52.000,0.7.1,18.0,torchserve,pytorch/torchserve,pytorch/torchserve,,['pytorch'],11.0,,https://pypi.org/project/torchserve,2022-12-12 19:04:32.462,11.0,34300.0,62601.0,https://anaconda.org/pytorch/torchserve,2023-02-08 22:25:02.720,68331.0,https://hub.docker.com/r/pytorch/torchserve,2023-02-08 22:25:16.233343,16.0,1077330.0,2.0,2561.0,,,,,,,,,,,,,,,,,,, +249,aim,aimhubio/aim,ml-experiments,,https://github.com/aimhubio/aim,https://github.com/aimhubio/aim,Apache-2.0,2019-05-31 18:25:07.000,2023-03-16 12:48:19.000000,2023-03-15 12:06:04,2039.0,61.0,201,37.0,1745.0,227.0,605.0,3255,Aim easy-to-use and performant open-source ML experiment tracker.,54.0,31,True,2023-03-02 21:14:58.000,3.16.2,573.0,aim,conda-forge/aim,,,,171.0,164.0,https://pypi.org/project/aim,2022-07-07 00:13:43.000,7.0,49069.0,50270.0,https://anaconda.org/conda-forge/aim,2023-03-03 13:24:50.702,24025.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +250,Core ML Tools,apple/coremltools,model-serialisation,,https://github.com/apple/coremltools,https://github.com/apple/coremltools,BSD-3-Clause,2017-06-30 07:39:02.000,2023-03-15 21:16:20.000000,2023-03-10 20:44:10,1022.0,10.0,491,113.0,682.0,208.0,920.0,3168,"Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.",146.0,31,True,2023-02-03 21:01:06.000,6.2,41.0,coremltools,conda-forge/coremltools,,,,3071.0,2914.0,https://pypi.org/project/coremltools,2022-11-15 05:40:01.465,157.0,99941.0,101535.0,https://anaconda.org/conda-forge/coremltools,2021-10-15 05:58:32.248,43604.0,,,,,2.0,6031.0,,,,,,,,,,,,,,,,,,, +251,hmmlearn,hmmlearn/hmmlearn,probabilistics,,https://github.com/hmmlearn/hmmlearn,https://github.com/hmmlearn/hmmlearn,BSD-3-Clause,2014-03-23 10:33:09.000,2023-02-27 18:04:13.000000,2023-02-27 18:04:13,455.0,26.0,718,118.0,106.0,52.0,353.0,2725,"Hidden Markov Models in Python, with scikit-learn like API.",42.0,31,True,2022-09-26 20:05:34.581,0.2.8,11.0,hmmlearn,conda-forge/hmmlearn,,,['sklearn'],1818.0,1689.0,https://pypi.org/project/hmmlearn,2022-09-26 20:05:34.581,129.0,136986.0,140120.0,https://anaconda.org/conda-forge/hmmlearn,2022-11-05 09:38:21.083,162996.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +252,ImageHash,JohannesBuchner/imagehash,image,,https://github.com/JohannesBuchner/imagehash,https://github.com/JohannesBuchner/imagehash,BSD-2-Clause,2013-03-02 23:32:48.000,2023-02-07 11:44:22.000000,2023-02-07 11:44:22,319.0,8.0,318,62.0,68.0,9.0,114.0,2680,A Python Perceptual Image Hashing Module.,25.0,31,True,2022-09-28 08:48:24.658,4.3.1,20.0,ImageHash,conda-forge/imagehash,,,,8537.0,8179.0,https://pypi.org/project/ImageHash,2022-09-28 08:48:24.658,358.0,1372179.0,1375978.0,https://anaconda.org/conda-forge/imagehash,2022-09-28 13:22:48.042,288781.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +253,STUMPY,TDAmeritrade/stumpy,time-series-data,,https://github.com/TDAmeritrade/stumpy,https://github.com/TDAmeritrade/stumpy,BSD-3-Clause,2019-05-03 19:23:44.000,2023-03-16 04:23:15.000000,2023-03-15 19:41:48,1194.0,30.0,249,54.0,170.0,60.0,353.0,2592,STUMPY is a powerful and scalable Python library for modern time series analysis.,32.0,31,True,2022-03-31 21:23:48.000,1.11.1,27.0,stumpy,conda-forge/stumpy,,,,384.0,373.0,https://pypi.org/project/stumpy,2022-03-31 21:23:48.000,11.0,197341.0,204247.0,https://anaconda.org/conda-forge/stumpy,2022-03-31 21:30:16.208,317703.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +254,dtreeviz,parrt/dtreeviz,interpretability,,https://github.com/parrt/dtreeviz,https://github.com/parrt/dtreeviz,MIT,2018-08-13 21:45:15.000,2023-03-07 17:54:40.000000,2023-03-07 17:54:30,598.0,164.0,297,47.0,107.0,47.0,126.0,2448,A python library for decision tree visualization and model interpretation.,22.0,31,True,2023-02-20 21:24:36.000,2.2.0,39.0,dtreeviz,conda-forge/dtreeviz,,,,675.0,655.0,https://pypi.org/project/dtreeviz,2023-01-29 19:23:00.782,20.0,104970.0,106295.0,https://anaconda.org/conda-forge/dtreeviz,2023-02-21 05:50:39.583,37122.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +255,mpld3,mpld3/mpld3,data-viz,,https://github.com/mpld3/mpld3,https://github.com/mpld3/mpld3,BSD-3-Clause,2013-12-18 01:48:30.000,2023-01-07 21:09:32.000000,2022-12-10 14:00:49,877.0,,353,85.0,165.0,215.0,146.0,2233,D3 Renderings of Matplotlib Graphics.,51.0,31,True,2022-12-10 14:03:04.289,0.5.9,18.0,mpld3,conda-forge/mpld3,,,,4796.0,4387.0,https://pypi.org/project/mpld3,2022-12-10 14:03:04.289,402.0,287855.0,290664.0,https://anaconda.org/conda-forge/mpld3,2022-12-10 17:08:02.676,170429.0,,,,,2.0,,,,mpld3,https://www.npmjs.com/package/mpld3,2022-12-10 14:00:31.699,7.0,756.0,,,,,,,,,,,, +256,jellyfish,jamesturk/jellyfish,nlp,,https://github.com/jamesturk/jellyfish,https://github.com/jamesturk/jellyfish,BSD-2-Clause,2010-07-09 20:41:11.000,2023-03-13 05:04:45.000000,2023-02-03 16:45:46,448.0,4.0,151,42.0,61.0,10.0,105.0,1805,a python library for doing approximate and phonetic matching of strings.,28.0,31,True,2022-01-07 20:20:43.000,0.9.0,32.0,jellyfish,conda-forge/jellyfish,,,,5848.0,5422.0,https://pypi.org/project/jellyfish,2022-01-07 20:20:43.000,426.0,2621011.0,2627384.0,https://anaconda.org/conda-forge/jellyfish,2022-10-28 08:39:19.681,497138.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +257,GPflow,GPflow/GPflow,probabilistics,,https://github.com/GPflow/GPflow,https://github.com/GPflow/GPflow,Apache-2.0,2016-01-14 11:29:24.000,2023-03-16 09:56:33.000000,2023-03-15 10:08:32,2425.0,10.0,434,76.0,1229.0,139.0,671.0,1709,Gaussian processes in TensorFlow.,82.0,31,True,2023-03-16 14:41:01.690,2.7.1,45.0,gpflow,conda-forge/gpflow,,,['tensorflow'],522.0,489.0,https://pypi.org/project/gpflow,2023-01-27 12:45:00.704,33.0,53566.0,53902.0,https://anaconda.org/conda-forge/gpflow,2022-05-24 14:05:38.796,19493.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +258,PennyLane,PennyLaneAI/PennyLane,others,,https://github.com/PennyLaneAI/pennylane,https://github.com/PennyLaneAI/pennylane,Apache-2.0,2018-04-17 16:45:42.000,2023-03-16 14:41:25.000000,2023-03-15 21:04:07,3189.0,185.0,448,53.0,3001.0,286.0,709.0,1702,PennyLane is a cross-platform Python library for differentiable programming of quantum computers. Train a quantum..,134.0,31,True,2023-03-06 18:06:02.679,0.29.1,45.0,pennylane,conda-forge/pennylane,,,,50.0,,https://pypi.org/project/pennylane,2023-03-06 18:06:02.679,50.0,22524.0,22994.0,https://anaconda.org/conda-forge/pennylane,2023-03-13 21:53:46.086,7518.0,,,,,2.0,64.0,,,,,,,,,,,,,,,,,,, +259,TF Recommenders,tensorflow/recommenders,recommender-systems,,https://github.com/tensorflow/recommenders,https://github.com/tensorflow/recommenders,Apache-2.0,2020-06-26 21:38:01.000,2023-02-23 12:16:57.000000,2023-02-14 04:50:52,353.0,12.0,230,49.0,294.0,197.0,172.0,1532,TensorFlow Recommenders is a library for building recommender system models using TensorFlow.,41.0,31,True,2023-02-03 02:17:00.422,0.7.3,16.0,tensorflow-recommenders,,,,['tensorflow'],197.0,196.0,https://pypi.org/project/tensorflow-recommenders,2021-08-23 23:29:59.000,1.0,383550.0,383550.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +260,ArcGIS API,Esri/arcgis-python-api,geospatial-data,,https://github.com/Esri/arcgis-python-api,https://github.com/Esri/arcgis-python-api,Apache-2.0,2016-03-16 01:09:14.000,2023-03-15 21:18:10.000000,2023-03-01 21:06:26,3826.0,137.0,979,153.0,954.0,34.0,505.0,1531,Documentation and samples for ArcGIS API for Python.,86.0,31,True,2023-01-19 20:46:21.000,2.1.0,37.0,arcgis,,esridocker/arcgis-api-python-notebook,,,31.0,,https://pypi.org/project/arcgis,2023-01-27 17:01:00.499,31.0,58345.0,58539.0,,,,https://hub.docker.com/r/esridocker/arcgis-api-python-notebook,2022-06-17 15:56:10.986929,40.0,8253.0,3.0,7536.0,,,,,,,,,,,,,,,,,,, +261,PyCUDA,inducer/pycuda,gpu-utilities,,https://github.com/inducer/pycuda,https://github.com/inducer/pycuda,MIT,2011-04-06 02:53:31.000,2023-01-10 17:12:02.000000,2023-01-10 17:11:50,1579.0,9.0,268,54.0,130.0,78.0,172.0,1498,"CUDA integration for Python, plus shiny features.",79.0,31,True,2022-12-21 02:24:00.995,2022.2.2,51.0,pycuda,conda-forge/pycuda,,,,2119.0,1918.0,https://pypi.org/project/pycuda,2022-12-21 02:24:00.995,201.0,41252.0,48390.0,https://anaconda.org/conda-forge/pycuda,2022-12-21 11:36:07.684,171322.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +262,metrics,Lightning-AI/metrics,distributed-ml,,https://github.com/Lightning-AI/metrics,https://github.com/Lightning-AI/metrics,Apache-2.0,2020-12-22 20:02:42.000,2023-03-16 14:44:29.000000,2023-03-16 14:42:34,1159.0,164.0,287,28.0,904.0,65.0,507.0,1307,"Machine learning metrics for distributed, scalable PyTorch applications.",187.0,31,True,2023-03-10 21:56:09.000,0.11.4,31.0,metrics,conda-forge/torchmetrics,,,['pytorch'],14.0,,https://pypi.org/project/metrics,2018-04-28 10:58:56.000,14.0,13033.0,43784.0,https://anaconda.org/conda-forge/torchmetrics,2023-03-13 15:22:03.065,736552.0,,,,,2.0,1497.0,,-4.0,,,,,,,,,,,,,,,,, +263,pyjanitor,pyjanitor-devs/pyjanitor,others,,https://github.com/pyjanitor-devs/pyjanitor,https://github.com/pyjanitor-devs/pyjanitor,MIT,2018-03-04 22:43:33.000,2023-03-05 16:44:35.000000,2023-03-05 16:40:55,1469.0,17.0,160,21.0,720.0,112.0,419.0,1122,Clean APIs for data cleaning. Python implementation of R package Janitor.,106.0,31,True,2022-11-12 20:44:03.432,0.24.0,57.0,pyjanitor,conda-forge/pyjanitor,,,,352.0,339.0,https://pypi.org/project/pyjanitor,2022-11-12 20:44:03.432,13.0,38304.0,40919.0,https://anaconda.org/conda-forge/pyjanitor,2022-10-17 18:30:36.327,156909.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +264,geojson,jazzband/geojson,geospatial-data,,https://github.com/jazzband/geojson,https://github.com/jazzband/geojson,BSD-3-Clause,2011-07-01 20:39:48.000,2023-02-16 15:57:19.825000,2023-02-16 01:14:19,473.0,10.0,109,32.0,112.0,19.0,70.0,786,Python bindings and utilities for GeoJSON.,52.0,31,True,2023-02-16 01:19:03.498,3.0.1,30.0,geojson,conda-forge/geojson,,,,12968.0,11770.0,https://pypi.org/project/geojson,2023-01-26 16:04:02.467,1198.0,882964.0,890948.0,https://anaconda.org/conda-forge/geojson,2023-02-16 15:57:19.825,670705.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +265,SALib,SALib/SALib,probabilistics,,https://github.com/SALib/SALib,https://github.com/SALib/SALib,MIT,2013-05-30 13:38:10.000,2023-03-10 22:52:23.000000,2023-01-10 08:34:13,1749.0,66.0,207,20.0,262.0,42.0,256.0,694,"Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST, and other methods.",39.0,31,True,2023-01-08 01:14:38.679,1.4.7,46.0,salib,conda-forge/salib,,,,756.0,679.0,https://pypi.org/project/salib,2023-01-08 01:14:38.679,77.0,128309.0,129764.0,https://anaconda.org/conda-forge/salib,2023-01-08 04:17:22.342,110620.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +266,snowballstemmer,snowballstem/snowball,nlp,,https://github.com/snowballstem/snowball,https://github.com/snowballstem/snowball,BSD-3-Clause,2013-02-23 07:17:42.000,2023-03-04 04:08:59.000000,2022-11-16 02:40:37,930.0,,166,36.0,110.0,30.0,50.0,650,Snowball compiler and stemming algorithms.,30.0,31,True,2021-11-16 18:38:34.000,2.2.0,10.0,snowballstemmer,conda-forge/snowballstemmer,,,,6775.0,4.0,https://pypi.org/project/snowballstemmer,2021-11-16 18:38:34.000,6771.0,8852626.0,8930404.0,https://anaconda.org/conda-forge/snowballstemmer,2021-11-17 09:59:16.947,6144519.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +267,python-soundfile,bastibe/python-soundfile,audio,,https://github.com/bastibe/python-soundfile,https://github.com/bastibe/python-soundfile,BSD-3-Clause,2013-08-27 13:36:52.000,2023-02-24 10:30:39.000000,2023-02-24 10:30:39,548.0,23.0,87,17.0,182.0,85.0,117.0,527,"SoundFile is an audio library based on libsndfile, CFFI, and NumPy.",30.0,31,True,2023-02-15 15:39:02.000,0.12.1,15.0,soundfile,anaconda/pysoundfile,,,,18714.0,18619.0,https://pypi.org/project/soundfile,2022-09-27 21:32:48.345,95.0,1170381.0,1170509.0,https://anaconda.org/anaconda/pysoundfile,,,,,,,2.0,14036.0,,,,,,,,,,,,,,,,,,, +268,datalad,datalad/datalad,others,,https://github.com/datalad/datalad,https://github.com/datalad/datalad,MIT,2013-11-01 19:40:08.000,2023-03-16 15:00:33.000000,2023-03-15 12:15:48,16716.0,120.0,106,26.0,3465.0,472.0,3321.0,399,"Keep code, data, containers under control with git and git-annex.",55.0,31,True,2023-02-27 13:55:02.851,0.18.2,101.0,datalad,conda-forge/datalad,,,,69.0,,https://pypi.org/project/datalad,2023-01-16 11:50:04.895,69.0,11340.0,16489.0,https://anaconda.org/conda-forge/datalad,2023-02-28 05:11:52.909,308973.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +269,baselines,openai/baselines,reinforcement-learning,,https://github.com/openai/baselines,https://github.com/openai/baselines,MIT,2017-05-24 01:58:13.000,2023-01-24 06:38:31.000000,2020-01-31 13:06:18,347.0,,4486,617.0,370.0,489.0,434.0,13904,OpenAI Baselines: high-quality implementations of reinforcement learning algorithms.,115.0,30,False,2018-02-26 17:07:07.000,0.1.5,6.0,baselines,,,,,513.0,474.0,https://pypi.org/project/baselines,2018-02-26 17:07:07.000,39.0,1312.0,1312.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +270,Coqui TTS,coqui-ai/TTS,audio,,https://github.com/coqui-ai/TTS,https://github.com/coqui-ai/TTS,MPL-2.0,2020-05-20 15:45:28.000,2023-03-15 11:02:11.000000,2023-03-15 11:02:11,4222.0,40.0,1075,145.0,438.0,26.0,498.0,9171,"- a deep learning toolkit for Text-to-Speech, battle-tested in research and production.",121.0,30,True,2023-03-13 11:44:46.000,0.12.0,45.0,tts,conda-forge/tts,,,"['pytorch', 'tensorflow']",12.0,,https://pypi.org/project/tts,2023-01-11 00:20:06.173,12.0,17369.0,43323.0,https://anaconda.org/conda-forge/tts,2021-12-15 19:29:56.367,6718.0,,,,,2.0,613426.0,,,,,,,,,,,,,,,,,,, +271,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 14:03:03.000,2023-02-18 14:13:46.000000,2023-02-18 14:13:42,274.0,10.0,906,272.0,97.0,84.0,80.0,7098,Visualizations for machine learning datasets.,30.0,30,True,2023-02-18 14:16:02.071,1.1.0,8.0,facets-overview,,,,['jupyter'],177.0,169.0,https://pypi.org/project/facets-overview,2023-01-30 13:48:01.697,8.0,373726.0,373726.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +272,cleanlab,cleanlab/cleanlab,others,,https://github.com/cleanlab/cleanlab,https://github.com/cleanlab/cleanlab,AGPL-3.0,2018-05-11 01:55:21.000,2023-03-13 15:37:00.000000,2023-03-13 15:37:00,1246.0,69.0,455,72.0,414.0,58.0,158.0,5548,"The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.",29.0,30,False,2023-03-01 23:09:06.455,2.3.0,21.0,cleanlab,conda-forge/cleanlab,,,,110.0,102.0,https://pypi.org/project/cleanlab,2022-11-28 17:41:01.653,8.0,16732.0,17046.0,https://anaconda.org/conda-forge/cleanlab,2023-03-02 22:41:16.577,10991.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +273,AutoGluon,autogluon/autogluon,hyperopt,,https://github.com/autogluon/autogluon,https://github.com/autogluon/autogluon,Apache-2.0,2019-07-29 18:51:24.000,2023-03-16 14:31:36.000000,2023-03-16 04:20:24,1659.0,263.0,705,90.0,1843.0,215.0,758.0,5460,"AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data.",101.0,30,True,2023-02-17 07:01:22.068,0.7.0,1091.0,autogluon,,autogluon/autogluon,https://auto.gluon.ai,"['pytorch', 'sklearn']",5.0,,https://pypi.org/project/autogluon,2022-07-07 09:05:12.000,5.0,33693.0,33755.0,,,,https://hub.docker.com/r/autogluon/autogluon,2023-02-08 06:13:56.640290,11.0,2751.0,2.0,,,,,,,,,,,,,,,,,,,, +274,Perspective,finos/perspective,data-viz,,https://github.com/finos/perspective,https://github.com/finos/perspective,Apache-2.0,2017-11-02 16:27:54.000,2023-03-15 18:32:45.000000,2023-03-10 22:43:21,5499.0,101.0,608,110.0,1396.0,103.0,509.0,5308,"A data visualization and analytics component, especially well-suited for large and/or streaming datasets.",82.0,30,True,2023-02-27 02:28:49.383,1.9.4,97.0,perspective-python,conda-forge/perspective,,,['jupyter'],20.0,8.0,https://pypi.org/project/perspective-python,2023-01-20 03:11:01.060,10.0,3320.0,13054.0,https://anaconda.org/conda-forge/perspective,2023-02-27 17:24:54.889,275464.0,,,,,2.0,,,,@finos/perspective-jupyterlab,https://www.npmjs.com/package/@finos/perspective-jupyterlab,2023-02-27 02:28:49.383,2.0,1387.0,,,,,,,,,,,, +275,skorch,skorch-dev/skorch,ml-frameworks,,https://github.com/skorch-dev/skorch,https://github.com/skorch-dev/skorch,BSD-3-Clause,2017-07-18 00:13:54.000,2023-03-16 10:34:45.000000,2023-02-13 13:01:38,1032.0,4.0,340,82.0,475.0,58.0,415.0,5070,A scikit-learn compatible neural network library that wraps PyTorch.,54.0,30,True,2022-11-18 12:42:50.000,0.12.1,16.0,skorch,conda-forge/skorch,,,"['pytorch', 'sklearn']",834.0,789.0,https://pypi.org/project/skorch,2022-11-18 12:33:08.762,45.0,61647.0,75125.0,https://anaconda.org/conda-forge/skorch,2023-03-14 10:48:15.087,727819.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +276,pyfolio,quantopian/pyfolio,financial-data,,https://github.com/quantopian/pyfolio,https://github.com/quantopian/pyfolio,Apache-2.0,2015-06-01 15:31:39.000,2023-01-12 17:12:11.000000,2020-07-15 13:46:58,1184.0,,1551,307.0,292.0,151.0,265.0,4860,Portfolio and risk analytics in Python.,56.0,30,False,2019-04-15 15:00:21.000,0.9.2,22.0,pyfolio,conda-forge/pyfolio,,,,733.0,699.0,https://pypi.org/project/pyfolio,2019-04-15 15:00:21.000,34.0,7717.0,7896.0,https://anaconda.org/conda-forge/pyfolio,2020-05-16 14:11:57.267,10954.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +277,torchdiffeq,rtqichen/torchdiffeq,pytorch-utils,,https://github.com/rtqichen/torchdiffeq,https://github.com/rtqichen/torchdiffeq,MIT,2018-11-14 17:51:25.000,2023-03-03 08:30:26.000000,2023-02-19 02:35:56,244.0,4.0,816,123.0,36.0,51.0,142.0,4524,Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.,21.0,30,True,2022-04-22 15:21:47.000,0.2.3,7.0,torchdiffeq,conda-forge/torchdiffeq,,,['pytorch'],1007.0,974.0,https://pypi.org/project/torchdiffeq,2022-04-22 15:21:47.000,33.0,1558526.0,1558818.0,https://anaconda.org/conda-forge/torchdiffeq,2021-06-03 13:23:15.112,9955.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +278,lightfm,lyst/lightfm,recommender-systems,,https://github.com/lyst/lightfm,https://github.com/lyst/lightfm,Apache-2.0,2015-07-30 08:34:00.000,2023-03-11 20:05:27.000000,2023-03-11 19:59:14,475.0,12.0,647,95.0,204.0,125.0,352.0,4286,"A Python implementation of LightFM, a hybrid recommendation algorithm.",45.0,30,True,2020-11-27 19:48:30.000,1.16,14.0,lightfm,conda-forge/lightfm,,,,1043.0,998.0,https://pypi.org/project/lightfm,2020-11-27 19:55:08.000,45.0,381833.0,384158.0,https://anaconda.org/conda-forge/lightfm,2022-03-09 22:21:56.668,144162.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +279,ArrayFire,arrayfire/arrayfire,gpu-utilities,,https://github.com/arrayfire/arrayfire,https://github.com/arrayfire/arrayfire,BSD-3-Clause,2014-10-28 20:58:33.000,2023-03-16 10:57:18.000000,2023-03-16 00:33:50,5999.0,73.0,501,151.0,1804.0,266.0,1308.0,4079,ArrayFire: a general purpose GPU library.,88.0,30,True,2023-02-13 16:47:37.000,3.8.3,33.0,arrayfire,,,,,5.0,,https://pypi.org/project/arrayfire,2022-02-22 21:42:15.000,5.0,1273.0,1310.0,,,,,,,,2.0,3483.0,,,,,,,,,,,,,,,,,,, +280,SynapseML,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-03-16 13:04:52.000000,2023-03-15 17:09:59,1375.0,81.0,726,142.0,1236.0,276.0,379.0,3944,Simple and Distributed Machine Learning.,106.0,30,True,2023-03-05 13:50:48.885,0.11.0,27.0,synapseml,,,,,3.0,,https://pypi.org/project/synapseml,2022-11-22 14:39:00.749,3.0,75944.0,75944.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +281,D-Tale,man-group/dtale,data-viz,,https://github.com/man-group/dtale,https://github.com/man-group/dtale,LGPL-2.1,2019-07-15 09:34:48.000,2023-03-15 09:22:14.000000,2023-03-06 13:52:52,671.0,40.0,332,69.0,239.0,38.0,462.0,3938,Visualizer for pandas data structures.,29.0,30,True,2023-03-03 16:11:11.000,2.13.0,160.0,dtale,conda-forge/dtale,,,"['pandas', 'jupyter']",658.0,644.0,https://pypi.org/project/dtale,2022-06-17 17:45:42.000,14.0,146489.0,151725.0,https://anaconda.org/conda-forge/dtale,2023-03-03 16:34:39.567,193755.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +282,pandas-ta,twopirllc/pandas-ta,probabilistics,,https://github.com/twopirllc/pandas-ta,https://github.com/twopirllc/pandas-ta,MIT,2019-02-19 16:41:09.000,2023-02-25 13:23:24.000000,2022-09-24 16:20:26,585.0,,727,88.0,178.0,100.0,385.0,3413,Technical Analysis Indicators - Pandas TA is an easy to use Python 3 Pandas Extension with 130+ Indicators.,45.0,30,True,2021-07-28 20:21:21.000,0.3.14,19.0,pandas-ta,conda-forge/pandas-ta,,,['pandas'],2816.0,2797.0,https://pypi.org/project/pandas-ta,2021-07-28 20:51:17.000,19.0,85057.0,85624.0,https://anaconda.org/conda-forge/pandas-ta,2021-10-05 09:16:48.657,9639.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +283,MMOCR,open-mmlab/mmocr,ocr,,https://github.com/open-mmlab/mmocr,https://github.com/open-mmlab/mmocr,Apache-2.0,2021-04-07 13:40:21.000,2023-03-16 05:18:49.000000,2023-03-07 12:25:48,1089.0,75.0,609,55.0,940.0,120.0,688.0,3248,"OpenMMLab Text Detection, Recognition and Understanding Toolbox.",73.0,30,True,2022-11-03 16:37:35.012,0.6.3,18.0,mmocr,,,,['pytorch'],45.0,43.0,https://pypi.org/project/mmocr,2023-01-06 09:38:01.075,2.0,11332.0,11332.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +284,cuML,rapidsai/cuml,gpu-utilities,,https://github.com/rapidsai/cuml,https://github.com/rapidsai/cuml,Apache-2.0,2018-10-11 15:45:35.000,2023-03-16 03:37:52.000000,2023-03-14 14:05:53,15075.0,117.0,445,70.0,3079.0,708.0,1491.0,3200,cuML - RAPIDS Machine Learning Library.,163.0,30,True,2023-02-09 19:44:57.000,23.02.00,31.0,cuml,,,,,6.0,1.0,https://pypi.org/project/cuml,2020-06-01 20:09:10.000,5.0,1576.0,1576.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +285,implicit,benfred/implicit,recommender-systems,,https://github.com/benfred/implicit,https://github.com/benfred/implicit,MIT,2016-04-17 03:45:23.000,2022-12-23 23:13:47.000000,2022-12-11 00:17:11,408.0,,584,82.0,200.0,77.0,375.0,3108,Fast Python Collaborative Filtering for Implicit Feedback Datasets.,34.0,30,True,2022-12-11 00:50:00.539,0.6.2,44.0,implicit,conda-forge/implicit,,,,920.0,882.0,https://pypi.org/project/implicit,2022-12-11 00:50:00.539,38.0,164973.0,172280.0,https://anaconda.org/conda-forge/implicit,2022-01-29 16:35:56.077,451629.0,,,,,2.0,323.0,,,,,,,,,,,,,,,,,,, +286,NMSLIB,nmslib/nmslib,nn-search,,https://github.com/nmslib/nmslib,https://github.com/nmslib/nmslib,Apache-2.0,2013-07-10 11:06:06.000,2023-02-17 10:54:36.000000,2022-05-31 03:18:45,1556.0,,407,92.0,121.0,63.0,348.0,2976,Non-Metric Space Library (NMSLIB): An efficient similarity search library and a toolkit for evaluation of k-NN methods..,48.0,30,True,2021-02-03 16:40:09.000,2.1.1,32.0,nmslib,conda-forge/nmslib,,,,853.0,801.0,https://pypi.org/project/nmslib,2021-02-03 00:02:08.000,52.0,279735.0,282013.0,https://anaconda.org/conda-forge/nmslib,2022-10-30 11:40:31.702,79760.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +287,filterpy,rlabbe/filterpy,probabilistics,,https://github.com/rlabbe/filterpy,https://github.com/rlabbe/filterpy,MIT,2014-07-15 02:15:19.000,2022-09-22 16:35:34.000000,2022-08-22 18:21:12,586.0,,544,74.0,72.0,55.0,159.0,2639,"Python Kalman filtering and optimal estimation library. Implements Kalman filter, particle filter, Extended Kalman..",43.0,30,True,2021-12-15 15:49:27.374,0.0.13,49.0,filterpy,conda-forge/filterpy,,,,2718.0,2586.0,https://pypi.org/project/filterpy,2018-10-10 22:38:24.000,132.0,2312396.0,2315419.0,https://anaconda.org/conda-forge/filterpy,2020-05-05 21:13:59.073,208595.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +288,Neural Network Libraries,sony/nnabla,ml-frameworks,,https://github.com/sony/nnabla,https://github.com/sony/nnabla,Apache-2.0,2017-06-26 01:07:10.000,2023-03-14 02:00:23.000000,2023-03-10 07:02:45,3329.0,75.0,328,159.0,1101.0,32.0,57.0,2610,Neural Network Libraries.,71.0,30,True,2023-03-01 07:36:21.000,1.34.0,73.0,nnabla,,,,,53.0,,https://pypi.org/project/nnabla,2023-02-14 02:41:00.910,53.0,4575.0,4583.0,,,,,,,,3.0,559.0,,,,,,,,,,,,,,,,,,, +289,Deep Checks,deepchecks/deepchecks,interpretability,,https://github.com/deepchecks/deepchecks,https://github.com/deepchecks/deepchecks,AGPL-3.0,2021-10-11 14:48:38.000,2023-03-16 12:32:50.000000,2023-03-15 10:33:27,1295.0,81.0,179,11.0,1457.0,221.0,682.0,2486,Deepchecks - Tests for Continuous Validation of ML Models & Data. Deepchecks is a Python package for comprehensively..,42.0,30,False,2023-03-12 10:25:00.777,0.13.0,49.0,deepchecks,,,,,93.0,88.0,https://pypi.org/project/deepchecks,2022-07-07 06:48:54.000,5.0,82385.0,82410.0,,,,,,,,2.0,432.0,,,,,,,,,,,,,,,,,,, +290,tslearn,tslearn-team/tslearn,time-series-data,,https://github.com/tslearn-team/tslearn,https://github.com/tslearn-team/tslearn,BSD-2-Clause,2017-05-04 13:08:13.000,2023-03-09 17:57:27.000000,2023-01-20 13:20:44,1599.0,9.0,315,60.0,151.0,107.0,186.0,2417,A machine learning toolkit dedicated to time-series data.,40.0,30,True,2023-01-20 13:21:39.000,0.5.3.2,96.0,tslearn,conda-forge/tslearn,,,['sklearn'],751.0,723.0,https://pypi.org/project/tslearn,2023-01-20 13:26:34.462,28.0,200744.0,210837.0,https://anaconda.org/conda-forge/tslearn,2023-01-20 17:40:46.662,605610.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +291,hnswlib,nmslib/hnswlib,nn-search,,https://github.com/nmslib/hnswlib,https://github.com/nmslib/hnswlib,Apache-2.0,2017-07-06 13:08:46.000,2023-03-05 23:35:19.000000,2023-02-05 22:03:50,437.0,14.0,428,62.0,177.0,149.0,133.0,2413,Header-only C++/python library for fast approximate nearest neighbors.,65.0,30,True,2023-02-07 20:10:08.000,0.7.0,10.0,hnswlib,conda-forge/hnswlib,,,,439.0,407.0,https://pypi.org/project/hnswlib,2022-02-14 22:34:58.000,32.0,385113.0,387826.0,https://anaconda.org/conda-forge/hnswlib,2023-02-07 21:30:59.590,73265.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +292,shapash,MAIF/shapash,interpretability,,https://github.com/MAIF/shapash,https://github.com/MAIF/shapash,Apache-2.0,2020-04-29 07:34:23.000,2023-03-14 15:49:59.000000,2023-03-14 15:49:59,1399.0,88.0,261,38.0,278.0,23.0,130.0,2131,Shapash makes Machine Learning models transparent and understandable by everyone.,35.0,30,True,2023-03-01 13:19:01.473,2.3.0,29.0,shapash,,,,['jupyter'],101.0,100.0,https://pypi.org/project/shapash,2023-01-17 15:34:02.670,1.0,16442.0,16442.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +293,rubrix,recognai/rubrix,nlp,,https://github.com/argilla-io/argilla,https://github.com/argilla-io/argilla,Apache-2.0,2021-04-28 14:37:42.000,2023-03-16 15:19:41.000000,2023-03-16 09:29:11,1473.0,253.0,151,19.0,1483.0,185.0,769.0,1710,Argilla: Open-source platform empowering teams to make better LLM and NLP-based products through human feedback and..,42.0,30,True,2023-03-09 09:40:08.000,1.4.0,75.0,rubrix,conda-forge/rubrix,,,,44.0,44.0,https://pypi.org/project/rubrix,2022-10-24 18:22:00.951,,804.0,2014.0,https://anaconda.org/conda-forge/rubrix,2022-10-06 03:07:26.056,18156.0,,,,,2.0,,,,,,,,,,,,argilla-io/argilla,,,,,,,, +294,ViZDoom,mwydmuch/ViZDoom,reinforcement-learning,,https://github.com/Farama-Foundation/ViZDoom,https://github.com/Farama-Foundation/ViZDoom,MIT,2015-06-26 18:38:23.000,2023-03-16 00:19:07.000000,2023-03-13 15:00:35,1615.0,43.0,346,56.0,85.0,54.0,396.0,1504,Reinforcement Learning environments based on the 1993 game Doom.,51.0,30,True,2023-01-07 21:18:03.133,1.1.14,25.0,vizdoom,,,,,185.0,171.0,https://pypi.org/project/vizdoom,2023-01-07 21:18:03.133,14.0,1853.0,1991.0,,,,,,,,2.0,11617.0,,,,,,,,,,,Farama-Foundation/ViZDoom,,,,,,,, +295,TF Model Optimization,tensorflow/model-optimization,tensorflow-utils,,https://github.com/tensorflow/model-optimization,https://github.com/tensorflow/model-optimization,Apache-2.0,2018-10-31 20:34:28.000,2023-03-16 00:11:16.000000,2023-03-16 00:11:09,793.0,8.0,309,125.0,737.0,186.0,157.0,1377,"A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.",77.0,30,True,2022-07-21 14:40:44.572,0.7.3,27.0,tensorflow-model-optimization,,,,['tensorflow'],2601.0,2572.0,https://pypi.org/project/tensorflow-model-optimization,2022-07-21 14:40:44.572,29.0,225554.0,225554.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +296,spacy-transformers,explosion/spacy-transformers,nlp,,https://github.com/explosion/spacy-transformers,https://github.com/explosion/spacy-transformers,MIT,2019-07-26 19:12:34.000,2023-03-13 10:42:35.000000,2023-03-13 10:42:35,1438.0,16.0,156,32.0,207.0,1.0,,1215,"Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy.",20.0,30,True,2023-02-18 07:34:22.000,1.2.2,68.0,spacy-transformers,conda-forge/spacy-transformers,,,['spacy'],914.0,884.0,https://pypi.org/project/spacy-transformers,2023-01-26 16:51:00.876,30.0,216452.0,217096.0,https://anaconda.org/conda-forge/spacy-transformers,2023-02-28 17:15:15.596,10313.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +297,evaluate,huggingface/evaluate,interpretability,,https://github.com/huggingface/evaluate,https://github.com/huggingface/evaluate,Apache-2.0,2022-03-30 15:08:26.000,2023-03-14 21:00:16.000000,2023-03-14 21:00:16,926.0,13.0,119,47.0,265.0,81.0,108.0,1199,Evaluate: A library for easily evaluating machine learning models and datasets.,118.0,30,True,2022-12-13 13:35:51.000,0.4.0,13.0,evaluate,,,,,1198.0,1156.0,https://pypi.org/project/evaluate,2022-12-13 13:28:07.299,42.0,277516.0,277516.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +298,Model Analysis,tensorflow/model-analysis,interpretability,,https://github.com/tensorflow/model-analysis,https://github.com/tensorflow/model-analysis,Apache-2.0,2018-03-23 19:08:49.000,2023-03-15 23:18:21.000000,2023-03-15 23:18:20,1297.0,35.0,261,74.0,100.0,30.0,51.0,1192,Model analysis tools for TensorFlow.,53.0,30,True,2022-12-09 19:34:00.645,0.43.0,54.0,tensorflow-model-analysis,,,,"['tensorflow', 'jupyter']",21.0,,https://pypi.org/project/tensorflow-model-analysis,2022-12-09 19:34:00.645,21.0,547619.0,547619.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +299,ktrain,amaiya/ktrain,ml-frameworks,,https://github.com/amaiya/ktrain,https://github.com/amaiya/ktrain,Apache-2.0,2019-02-06 17:01:39.000,2023-03-13 21:50:03.000000,2023-02-06 20:13:53,2885.0,15.0,262,33.0,36.0,,445.0,1115,ktrain is a Python library that makes deep learning and AI more accessible and easier to apply.,15.0,30,True,2023-02-06 20:15:56.727,0.33.2,189.0,ktrain,,,,['tensorflow'],400.0,397.0,https://pypi.org/project/ktrain,2023-02-03 18:42:29.454,3.0,21334.0,21334.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +300,optimum,huggingface/optimum,gpu-utilities,,https://github.com/huggingface/optimum,https://github.com/huggingface/optimum,Apache-2.0,2021-07-20 12:36:40.000,2023-03-16 13:44:30.000000,2023-03-16 12:10:06,574.0,184.0,149,43.0,622.0,124.0,176.0,977,Accelerate training and inference of Transformers with easy to use hardware optimization tools.,56.0,30,True,2023-03-03 13:41:00.000,1.7.1,27.0,optimum,conda-forge/optimum,,,,112.0,103.0,https://pypi.org/project/optimum,2023-01-25 17:39:56.550,9.0,71778.0,72315.0,https://anaconda.org/conda-forge/optimum,2022-07-12 18:30:14.167,5908.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +301,Satpy,pytroll/satpy,geospatial-data,,https://github.com/pytroll/satpy,https://github.com/pytroll/satpy,GPL-3.0,2016-02-09 20:29:43.000,2023-03-16 10:08:54.000000,2023-03-15 19:42:19,11516.0,375.0,261,31.0,1544.0,405.0,548.0,902,Python package for earth-observing satellite data processing.,136.0,30,False,2023-03-15 19:45:49.948,0.41.1,84.0,satpy,conda-forge/satpy,,,,103.0,91.0,https://pypi.org/project/satpy,2023-02-09 10:49:31.597,12.0,3451.0,5833.0,https://anaconda.org/conda-forge/satpy,2023-03-16 02:32:50.967,133416.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +302,patsy,pydata/patsy,probabilistics,,https://github.com/pydata/patsy,https://github.com/pydata/patsy,BSD-2-Clause,2012-07-10 12:30:06.000,2022-10-09 22:58:02.769000,2022-10-09 20:27:52,544.0,,101,31.0,53.0,69.0,72.0,872,Describing statistical models in Python using symbolic formulas.,17.0,30,True,2022-10-09 20:34:35.000,0.5.3,10.0,patsy,conda-forge/patsy,,,,69818.0,67121.0,https://pypi.org/project/patsy,2022-10-09 20:29:01.698,2697.0,7760948.0,7854408.0,https://anaconda.org/conda-forge/patsy,2022-10-09 22:58:02.769,7383396.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +303,scikit-multilearn,scikit-multilearn/scikit-multilearn,sklearn-utils,,https://github.com/scikit-multilearn/scikit-multilearn,https://github.com/scikit-multilearn/scikit-multilearn,BSD-2-Clause,2014-04-30 13:05:44.000,2023-03-14 17:14:36.000000,2023-03-14 17:14:36,545.0,46.0,161,35.0,79.0,88.0,122.0,819,A scikit-learn based module for multi-label et. al. classification.,28.0,30,True,2018-12-10 16:24:47.000,0.2.0,6.0,scikit-multilearn,,,,['sklearn'],1038.0,1020.0,https://pypi.org/project/scikit-multilearn,2018-12-10 16:24:47.000,18.0,88736.0,88736.0,,,,,,,,2.0,,,2.0,,,,,,,,,,,,,,,,, +304,responsible-ai-widgets,microsoft/responsible-ai-toolbox,interpretability,,https://github.com/microsoft/responsible-ai-toolbox,https://github.com/microsoft/responsible-ai-toolbox,MIT,2020-07-06 20:46:53.000,2023-03-16 15:07:07.000000,2023-03-15 18:01:21,1520.0,125.0,192,21.0,1726.0,68.0,221.0,734,Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and..,33.0,30,True,2023-03-02 16:52:45.000,0.25.0,43.0,raiwidgets,,,,"['pytorch', 'tensorflow', 'jupyter']",50.0,47.0,https://pypi.org/project/raiwidgets,2023-01-18 23:21:09.936,3.0,9326.0,9326.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +305,hvPlot,holoviz/hvplot,data-viz,,https://github.com/holoviz/hvplot,https://github.com/holoviz/hvplot,BSD-3-Clause,2018-03-19 14:22:41.000,2023-03-16 13:57:11.000000,2023-03-16 11:31:01,559.0,14.0,83,23.0,394.0,252.0,356.0,724,"A high-level plotting API for pandas, dask, xarray, and networkx built on HoloViews.",39.0,30,True,2022-11-24 15:14:08.000,0.8.2,50.0,hvplot,conda-forge/hvplot,,,,2617.0,2537.0,https://pypi.org/project/hvplot,2022-11-24 15:09:00.810,80.0,133425.0,139455.0,https://anaconda.org/conda-forge/hvplot,2022-11-25 16:06:59.666,331651.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +306,vit-pytorch,lucidrains/vit-pytorch,image,,https://github.com/lucidrains/vit-pytorch,https://github.com/lucidrains/vit-pytorch,MIT,2020-10-03 22:47:24.000,2023-03-08 03:31:17.000000,2023-03-08 03:31:10,269.0,7.0,2192,134.0,35.0,106.0,115.0,13273,"Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single..",17.0,29,True,2023-03-08 03:32:01.753,1.1.1,160.0,vit-pytorch,,,,['pytorch'],218.0,212.0,https://pypi.org/project/vit-pytorch,2022-06-30 15:11:57.000,6.0,30290.0,30290.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +307,tinygrad,geohot/tinygrad,pytorch-utils,,https://github.com/geohot/tinygrad,https://github.com/geohot/tinygrad,MIT,2020-10-18 16:23:12.000,2023-03-16 06:32:29.000000,2023-03-16 01:42:17,1754.0,527.0,966,173.0,500.0,33.0,156.0,10908,You like pytorch? You like micrograd? You love tinygrad!.,97.0,29,True,2023-03-07 02:21:19.000,0.5.0,2.0,,,,,['pytorch'],10.0,10.0,,,,,,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +308,backtrader,mementum/backtrader,financial-data,,https://github.com/mementum/backtrader,https://github.com/mementum/backtrader,GPL-3.0,2015-01-10 07:14:52.000,2023-03-10 06:44:04.000000,2021-07-17 22:17:12,2385.0,,3175,580.0,208.0,43.0,,10222,Python Backtesting library for trading strategies.,52.0,29,False,,,155.0,backtrader,,,,,1441.0,1382.0,https://pypi.org/project/backtrader,2020-07-03 13:02:14.000,59.0,18678.0,18678.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +309,PyTorch3D,facebookresearch/pytorch3d,image,,https://github.com/facebookresearch/pytorch3d,https://github.com/facebookresearch/pytorch3d,,2019-10-25 02:23:45.000,2023-03-16 13:16:52.000000,2023-03-09 18:11:13,1042.0,32.0,1076,140.0,135.0,155.0,1099.0,7047,PyTorch3D is FAIRs library of reusable components for deep learning with 3D data.,114.0,29,False,2022-12-19 23:45:33.000,0.7.2,14.0,pytorch3d,pytorch3d/pytorch3d,,,['pytorch'],424.0,415.0,https://pypi.org/project/pytorch3d,2022-12-19 23:31:53.499,9.0,19184.0,21689.0,https://anaconda.org/pytorch3d/pytorch3d,2023-01-03 17:50:13.205,100225.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +310,Apex,NVIDIA/apex,gpu-utilities,,https://github.com/NVIDIA/apex,https://github.com/NVIDIA/apex,BSD-3-Clause,2018-04-23 16:28:52.000,2023-03-15 21:09:50.000000,2023-03-13 18:07:57,1094.0,20.0,1160,100.0,547.0,629.0,494.0,7017,A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch.,111.0,29,True,,,2.0,,conda-forge/nvidia-apex,,,['pytorch'],1532.0,1532.0,,,,,3235.0,https://anaconda.org/conda-forge/nvidia-apex,2023-02-28 05:36:15.003,132664.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +311,CleverHans,cleverhans-lab/cleverhans,adversarial,,https://github.com/cleverhans-lab/cleverhans,https://github.com/cleverhans-lab/cleverhans,MIT,2016-09-15 00:28:04.000,2023-02-02 01:56:21.000000,2023-01-31 19:40:04,3203.0,2.0,1377,191.0,783.0,37.0,422.0,5743,"An adversarial example library for constructing attacks, building defenses, and benchmarking both.",131.0,29,True,2021-07-24 08:53:21.000,4.0.0,8.0,cleverhans,conda-forge/cleverhans,,,['tensorflow'],439.0,428.0,https://pypi.org/project/cleverhans,2021-07-24 08:53:21.000,11.0,1382.0,1546.0,https://anaconda.org/conda-forge/cleverhans,2021-07-29 12:49:41.903,5423.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +312,kaggle,Kaggle/kaggle-api,ml-experiments,,https://github.com/Kaggle/kaggle-api,https://github.com/Kaggle/kaggle-api,Apache-2.0,2018-01-25 03:02:39.000,2023-03-07 21:37:19.000000,2023-03-01 17:16:23,147.0,2.0,984,190.0,82.0,245.0,153.0,5202,Official Kaggle API.,37.0,29,True,2023-03-01 13:59:01.294,1.5.13,49.0,kaggle,conda-forge/kaggle,,,,363.0,,https://pypi.org/project/kaggle,2021-03-13 00:50:03.000,363.0,174214.0,176755.0,https://anaconda.org/conda-forge/kaggle,2023-03-02 05:14:08.412,116903.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +313,nlpaug,makcedward/nlpaug,nlp,,https://github.com/makcedward/nlpaug,https://github.com/makcedward/nlpaug,MIT,2019-03-21 03:00:17.000,2023-03-04 04:13:01.000000,2022-07-07 05:16:43,738.0,,427,39.0,124.0,57.0,153.0,3842,Data augmentation for NLP.,33.0,29,True,2022-07-07 05:24:14.000,1.1.11,37.0,nlpaug,conda-forge/nlpaug,,,,655.0,634.0,https://pypi.org/project/nlpaug,2022-07-07 05:23:07.000,21.0,158184.0,158541.0,https://anaconda.org/conda-forge/nlpaug,2023-01-30 14:20:28.830,7507.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +314,ta,bukosabino/ta,financial-data,,https://github.com/bukosabino/ta,https://github.com/bukosabino/ta,MIT,2018-01-02 18:08:48.000,2023-02-20 12:32:59.000000,2022-08-23 15:59:41,615.0,,769,146.0,113.0,129.0,98.0,3510,Technical Analysis Library using Pandas and Numpy.,29.0,29,True,2022-08-23 16:03:04.047,0.10.2,54.0,ta,conda-forge/ta,,,,1875.0,1835.0,https://pypi.org/project/ta,2022-08-23 16:03:04.047,40.0,79765.0,80244.0,https://anaconda.org/conda-forge/ta,2022-08-23 20:22:42.529,11989.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +315,ftfy,rspeer/python-ftfy,nlp,,https://github.com/rspeer/python-ftfy,https://github.com/rspeer/python-ftfy,MIT,2012-08-24 16:14:59.000,2022-12-08 13:38:21.000000,2022-10-25 17:55:33,609.0,,116,75.0,65.0,15.0,119.0,3459,"Fixes mojibake and other glitches in Unicode text, after the fact.",18.0,29,True,2022-02-09 19:44:15.000,6.1.1,48.0,ftfy,conda-forge/ftfy,,,,10187.0,9621.0,https://pypi.org/project/ftfy,2022-02-09 19:44:15.000,566.0,4810584.0,4813912.0,https://anaconda.org/conda-forge/ftfy,2022-03-13 19:47:23.479,236325.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +316,nevergrad,facebookresearch/nevergrad,hyperopt,,https://github.com/facebookresearch/nevergrad,https://github.com/facebookresearch/nevergrad,MIT,2018-11-21 00:33:17.000,2023-03-01 17:40:37.000000,2023-02-22 16:14:05,1037.0,7.0,328,65.0,1269.0,115.0,156.0,3421,A Python toolbox for performing gradient-free optimization.,49.0,29,True,2023-02-22 16:11:53.823,0.6.0,37.0,nevergrad,conda-forge/nevergrad,,,,482.0,459.0,https://pypi.org/project/nevergrad,2022-03-08 18:42:46.000,23.0,32542.0,33588.0,https://anaconda.org/conda-forge/nevergrad,2021-06-14 12:44:22.518,36618.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +317,dyNET,clab/dynet,ml-frameworks,,https://github.com/clab/dynet,https://github.com/clab/dynet,Apache-2.0,2015-02-08 23:09:21.000,2022-11-22 09:59:24.000000,2022-08-14 17:11:42,3272.0,,703,187.0,733.0,264.0,665.0,3344,DyNet: The Dynamic Neural Network Toolkit.,160.0,29,True,2020-10-21 14:31:01.000,2.1.2,24.0,dyNET,,,,,264.0,236.0,https://pypi.org/project/dyNET,2020-10-21 14:31:01.000,28.0,2892.0,3016.0,,,,,,,,3.0,9623.0,,,,,,,,,,,,,,,,,,, +318,Catalyst,catalyst-team/catalyst,ml-experiments,,https://github.com/catalyst-team/catalyst,https://github.com/catalyst-team/catalyst,Apache-2.0,2018-08-20 07:56:13.000,2023-02-20 14:25:39.000000,2022-04-29 04:19:24,1698.0,,362,46.0,1081.0,3.0,344.0,3096,Accelerated deep learning R&D.,104.0,29,True,2022-04-29 04:45:11.000,22.04,108.0,catalyst,,,,['pytorch'],846.0,817.0,https://pypi.org/project/catalyst,2022-04-29 04:46:04.000,29.0,73182.0,73182.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +319,Sumy,miso-belica/sumy,nlp,,https://github.com/miso-belica/sumy,https://github.com/miso-belica/sumy,Apache-2.0,2013-02-20 12:56:48.000,2023-02-21 07:39:46.000000,2023-02-21 07:39:45,433.0,7.0,500,112.0,79.0,17.0,95.0,3086,Module for automatic summarization of text documents and HTML pages.,26.0,29,True,2022-10-23 16:42:18.783,0.11.0,16.0,sumy,conda-forge/sumy,,,,1895.0,1790.0,https://pypi.org/project/sumy,2022-10-23 16:42:18.783,105.0,23843.0,24039.0,https://anaconda.org/conda-forge/sumy,2022-10-25 07:50:19.767,4118.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +320,pomegranate,jmschrei/pomegranate,probabilistics,,https://github.com/jmschrei/pomegranate,https://github.com/jmschrei/pomegranate,MIT,2014-11-24 18:36:58.000,2023-03-10 09:47:55.000000,2022-11-29 20:50:22,935.0,,556,102.0,320.0,89.0,616.0,3028,"Fast, flexible and easy to use probabilistic modelling in Python.",66.0,29,True,2021-11-19 21:46:05.000,0.14.7,68.0,pomegranate,conda-forge/pomegranate,,,,930.0,884.0,https://pypi.org/project/pomegranate,2022-02-21 06:50:33.000,46.0,42271.0,44890.0,https://anaconda.org/conda-forge/pomegranate,2022-09-19 21:08:05.664,115253.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +321,Cufflinks,santosjorge/cufflinks,data-viz,,https://github.com/santosjorge/cufflinks,https://github.com/santosjorge/cufflinks,MIT,2014-11-19 20:59:33.000,2022-02-11 16:25:24.000000,2021-02-25 05:05:09,452.0,,661,111.0,73.0,98.0,123.0,2763,Productivity Tools for Plotly + Pandas.,38.0,29,False,2020-03-01 17:42:01.000,0.17.3,28.0,cufflinks,,,,['pandas'],7961.0,7791.0,https://pypi.org/project/cufflinks,2020-03-01 17:42:01.000,170.0,307049.0,307049.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +322,pytorch-optimizer,jettify/pytorch-optimizer,pytorch-utils,,https://github.com/jettify/pytorch-optimizer,https://github.com/jettify/pytorch-optimizer,Apache-2.0,2020-01-03 03:16:39.000,2023-01-23 10:03:07.000000,2021-11-11 16:56:57,430.0,,263,34.0,442.0,26.0,30.0,2701,torch-optimizer -- collection of optimizers for Pytorch.,25.0,29,False,2021-10-31 03:00:19.000,0.3.0,21.0,torch_optimizer,conda-forge/torch-optimizer,,,['pytorch'],865.0,842.0,https://pypi.org/project/torch_optimizer,2021-10-31 03:00:19.000,23.0,90870.0,91170.0,https://anaconda.org/conda-forge/torch-optimizer,2021-10-31 17:20:09.384,6902.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +323,vidgear,abhiTronix/vidgear,image,,https://github.com/abhiTronix/vidgear,https://github.com/abhiTronix/vidgear,Apache-2.0,2019-03-17 02:42:42.000,2023-01-26 05:17:02.000000,2023-01-26 03:44:01,995.0,57.0,213,58.0,102.0,3.0,246.0,2691,A High-performance cross-platform Video Processing Python framework powerpacked with unique trailblazing features.,13.0,29,True,2023-01-26 04:36:18.837,0.3.0,20.0,vidgear,,,,,366.0,359.0,https://pypi.org/project/vidgear,2023-01-26 04:36:18.837,7.0,4814.0,4829.0,,,,,,,,2.0,756.0,,,,,,,,,,,,,,,,,,, +324,StellarGraph,stellargraph/stellargraph,graph,,https://github.com/stellargraph/stellargraph,https://github.com/stellargraph/stellargraph,Apache-2.0,2018-04-13 07:35:51.000,2023-02-03 12:17:07.000000,2021-10-29 06:15:49,2535.0,,402,61.0,929.0,310.0,740.0,2646,StellarGraph - Machine Learning on Graphs.,36.0,29,False,2020-06-30 05:15:21.000,1.2.1,25.0,stellargraph,,,,['tensorflow'],199.0,191.0,https://pypi.org/project/stellargraph,2020-06-30 05:10:43.000,8.0,22447.0,22447.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +325,TF Ranking,tensorflow/ranking,recommender-systems,,https://github.com/tensorflow/ranking,https://github.com/tensorflow/ranking,Apache-2.0,2018-12-03 20:48:57.000,2023-02-01 02:48:12.000000,2023-02-01 02:33:14,527.0,15.0,452,95.0,40.0,76.0,237.0,2607,Learning to Rank in TensorFlow.,31.0,29,True,2023-02-01 19:18:02.496,0.5.2,21.0,tensorflow_ranking,,,,['tensorflow'],12.0,,https://pypi.org/project/tensorflow_ranking,2021-11-16 01:31:58.000,12.0,130685.0,130685.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +326,sahi,obss/sahi,image,,https://github.com/obss/sahi,https://github.com/obss/sahi,MIT,2021-01-30 12:54:53.000,2023-03-15 14:04:39.000000,2023-03-10 14:37:38,454.0,27.0,380,34.0,457.0,2.0,,2453,Framework agnostic sliced/tiled inference + interactive ui + error analysis plots.,25.0,29,True,2023-03-07 14:40:01.188,0.11.12,98.0,sahi,conda-forge/sahi,,,,340.0,330.0,https://pypi.org/project/sahi,2023-01-15 13:30:00.362,10.0,117221.0,119481.0,https://anaconda.org/conda-forge/sahi,2023-03-07 19:14:39.804,29426.0,,,,,2.0,13273.0,,,,,,,,,,,,,,,,,,, +327,ipyparallel,ipython/ipyparallel,distributed-ml,,https://github.com/ipython/ipyparallel,https://github.com/ipython/ipyparallel,,2015-04-09 07:43:55.000,2023-03-15 08:14:51.000000,2023-03-15 08:14:49,2736.0,17.0,962,120.0,420.0,53.0,285.0,2369,IPython Parallel: Interactive Parallel Computing in Python.,112.0,29,False,2022-06-20 10:37:35.000,8.4.1,41.0,ipyparallel,conda-forge/ipyparallel,,,['jupyter'],292.0,,https://pypi.org/project/ipyparallel,2022-06-20 10:37:35.000,292.0,165892.0,175367.0,https://anaconda.org/conda-forge/ipyparallel,2022-06-21 14:24:53.709,786458.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +328,lightly,lightly-ai/lightly,image,,https://github.com/lightly-ai/lightly,https://github.com/lightly-ai/lightly,MIT,2020-10-13 13:02:56.000,2023-03-14 14:38:50.000000,2023-03-13 14:01:48,939.0,68.0,183,23.0,752.0,44.0,319.0,2186,A python library for self-supervised learning on images.,24.0,29,True,2023-03-10 14:48:53.000,1.3.1,85.0,lightly,,,,['pytorch'],100.0,97.0,https://pypi.org/project/lightly,2023-01-31 14:30:00.472,3.0,5802.0,5802.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +329,textacy,chartbeat-labs/textacy,nlp,,https://github.com/chartbeat-labs/textacy,https://github.com/chartbeat-labs/textacy,Apache-2.0,2016-02-03 16:52:45.000,2023-03-16 01:58:27.000000,2022-03-06 19:51:43,1716.0,,242,92.0,114.0,30.0,226.0,2041,"NLP, before and after spaCy.",32.0,29,True,2021-12-06 15:00:07.000,0.12.0,31.0,textacy,conda-forge/textacy,,,,100.0,,https://pypi.org/project/textacy,2021-12-06 15:00:07.000,100.0,123952.0,125724.0,https://anaconda.org/conda-forge/textacy,2023-03-09 02:34:37.452,124078.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +330,Alibi,SeldonIO/alibi,interpretability,,https://github.com/SeldonIO/alibi,https://github.com/SeldonIO/alibi,Apache-2.0,2019-02-26 10:10:56.000,2023-03-16 14:23:18.000000,2023-03-13 15:42:03,570.0,33.0,220,43.0,560.0,139.0,211.0,1960,Algorithms for explaining machine learning models.,18.0,29,True,2023-03-13 15:41:00.966,0.9.1,28.0,alibi,,,,,466.0,439.0,https://pypi.org/project/alibi,2023-01-11 16:45:06.910,27.0,14978.0,14978.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +331,tesserocr,sirfz/tesserocr,ocr,,https://github.com/sirfz/tesserocr,https://github.com/sirfz/tesserocr,MIT,2015-12-17 23:29:36.000,2023-03-14 12:53:23.000000,2023-03-14 12:52:20,184.0,2.0,243,54.0,63.0,79.0,176.0,1757,A Python wrapper for the tesseract-ocr API.,27.0,29,True,2023-03-14 12:58:00.539,2.6.0,17.0,tesserocr,conda-forge/tesserocr,,,,880.0,809.0,https://pypi.org/project/tesserocr,2021-06-19 21:10:18.000,71.0,45411.0,47933.0,https://anaconda.org/conda-forge/tesserocr,2022-11-06 10:26:38.906,103423.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +332,alibi-detect,SeldonIO/alibi-detect,others,,https://github.com/SeldonIO/alibi-detect,https://github.com/SeldonIO/alibi-detect,Apache-2.0,2019-10-07 13:29:13.000,2023-03-16 07:57:49.000000,2023-03-03 18:18:22,640.0,38.0,174,36.0,453.0,116.0,211.0,1736,"Algorithms for outlier, adversarial and drift detection.",17.0,29,True,2023-03-03 18:16:01.257,0.11.1,33.0,alibi-detect,,,,,335.0,329.0,https://pypi.org/project/alibi-detect,2022-06-01 16:23:29.000,6.0,23719.0,23719.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +333,bt,pmorissette/bt,financial-data,,https://github.com/pmorissette/bt,https://github.com/pmorissette/bt,MIT,2014-06-19 16:06:28.000,2023-03-14 14:31:54.000000,2022-11-22 01:40:30,491.0,,343,79.0,91.0,72.0,244.0,1599,bt - flexible backtesting for Python.,27.0,29,True,2021-04-21 02:52:26.000,0.2.9,25.0,bt,conda-forge/bt,,,,1492.0,1471.0,https://pypi.org/project/bt,2021-04-21 02:52:26.000,21.0,8532.0,9063.0,https://anaconda.org/conda-forge/bt,2022-11-12 20:42:40.483,12214.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +334,Elephas,maxpumperla/elephas,distributed-ml,,https://github.com/maxpumperla/elephas,https://github.com/maxpumperla/elephas,MIT,2015-08-13 12:09:19.000,2023-03-04 14:29:00.451000,2022-08-31 01:52:51,509.0,,308,103.0,48.0,7.0,151.0,1563,Distributed Deep learning with Keras & Spark.,27.0,29,True,2023-03-15 02:28:00.464,4.1.0,38.0,elephas,conda-forge/elephas,,,"['keras', 'spark']",68.0,65.0,https://pypi.org/project/elephas,2023-03-04 14:29:00.451,3.0,73675.0,73930.0,https://anaconda.org/conda-forge/elephas,2021-06-02 18:33:53.270,11006.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +335,fairlearn,fairlearn/fairlearn,interpretability,,https://github.com/fairlearn/fairlearn,https://github.com/fairlearn/fairlearn,MIT,2018-05-15 01:51:35.000,2023-03-16 11:04:03.000000,2023-03-16 11:04:03,778.0,31.0,341,34.0,781.0,170.0,258.0,1514,A Python package to assess and improve fairness of machine learning models.,74.0,29,True,2022-10-28 22:10:03.000,0.8.0,18.0,fairlearn,conda-forge/fairlearn,,,['sklearn'],13.0,,https://pypi.org/project/fairlearn,2022-10-28 21:54:00.949,13.0,169985.0,170646.0,https://anaconda.org/conda-forge/fairlearn,2022-12-02 16:03:10.727,24464.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +336,Opacus,pytorch/opacus,privacy-ml,,https://github.com/pytorch/opacus,https://github.com/pytorch/opacus,Apache-2.0,2019-12-07 01:58:09.000,2023-03-13 12:13:30.000000,2023-02-22 10:10:08,688.0,10.0,274,42.0,341.0,55.0,179.0,1361,Training PyTorch models with differential privacy.,67.0,29,True,2023-02-22 10:16:36.000,1.4,20.0,opacus,conda-forge/opacus,,,['pytorch'],554.0,542.0,https://pypi.org/project/opacus,2022-11-14 13:50:35.484,12.0,23302.0,23853.0,https://anaconda.org/conda-forge/opacus,2022-09-09 22:23:32.756,7711.0,,,,,2.0,55.0,,,,,,,,,,,,,,,,,,, +337,avalanche,ContinualAI/avalanche,others,,https://github.com/ContinualAI/avalanche,https://github.com/ContinualAI/avalanche,MIT,2020-03-05 11:32:13.000,2023-03-16 10:51:46.000000,2023-03-16 10:51:46,3165.0,60.0,213,30.0,470.0,83.0,559.0,1275,Avalanche: an End-to-End Library for Continual Learning based on PyTorch.,63.0,29,True,2022-12-15 02:59:18.000,0.3.1,6.0,avalanche-lib,,,,,23.0,23.0,https://pypi.org/project/avalanche-lib,2022-12-15 02:48:00.649,,1401.0,1401.0,,,,,,,,2.0,4.0,,,,,,,,,,,,,,,,,,, +338,Keras-Preprocessing,keras-team/keras-preprocessing,tensorflow-utils,,https://github.com/keras-team/keras-preprocessing,https://github.com/keras-team/keras-preprocessing,MIT,2018-05-30 22:43:36.000,2022-02-17 22:38:16.000000,2022-02-17 22:38:15,288.0,,453,44.0,176.0,93.0,102.0,1025,"Utilities for working with image data, text data, and sequence data.",52.0,29,False,2020-05-14 03:53:47.000,1.1.2,12.0,keras-preprocessing,conda-forge/keras-preprocessing,,,['tensorflow'],1572.0,,https://pypi.org/project/keras-preprocessing,2020-05-14 03:53:47.000,1572.0,7813712.0,7844534.0,https://anaconda.org/conda-forge/keras-preprocessing,2021-01-15 12:28:58.923,1756902.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +339,scikit-survival,sebp/scikit-survival,sklearn-utils,,https://github.com/sebp/scikit-survival,https://github.com/sebp/scikit-survival,GPL-3.0,2016-12-26 22:15:53.000,2023-03-14 21:27:20.795000,2023-03-13 21:57:09,830.0,60.0,185,23.0,80.0,26.0,165.0,905,Survival analysis built on top of scikit-learn.,15.0,29,False,2023-03-05 13:15:49.628,0.20.0,24.0,scikit-survival,conda-forge/scikit-survival,,,['sklearn'],238.0,232.0,https://pypi.org/project/scikit-survival,2022-10-24 18:41:20.000,6.0,76308.0,78292.0,https://anaconda.org/conda-forge/scikit-survival,2023-03-14 21:27:20.795,31753.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +340,Sentinelsat,sentinelsat/sentinelsat,geospatial-data,,https://github.com/sentinelsat/sentinelsat,https://github.com/sentinelsat/sentinelsat,GPL-3.0,2015-05-22 20:32:26.000,2023-03-12 12:19:24.314000,2023-03-10 19:47:48,1140.0,16.0,230,60.0,243.0,17.0,329.0,856,Search and download Copernicus Sentinel satellite images.,43.0,29,False,2023-03-10 17:53:00.587,1.2.1,41.0,sentinelsat,conda-forge/sentinelsat,,,,439.0,402.0,https://pypi.org/project/sentinelsat,2022-01-05 19:58:27.000,37.0,15130.0,15728.0,https://anaconda.org/conda-forge/sentinelsat,2023-03-12 12:19:24.314,17268.0,,,,,3.0,243.0,,3.0,,,,,,,,,,,,,,,,, +341,pythreejs,jupyter-widgets/pythreejs,data-viz,,https://github.com/jupyter-widgets/pythreejs,https://github.com/jupyter-widgets/pythreejs,BSD-3-Clause,2013-12-23 17:02:11.000,2023-02-20 00:24:59.000000,2023-02-20 00:24:10,1723.0,8.0,184,40.0,173.0,59.0,170.0,855,A Jupyter - Three.js bridge.,30.0,29,True,2023-02-20 00:24:01.104,2.4.2,46.0,pythreejs,conda-forge/pythreejs,,,['jupyter'],86.0,24.0,https://pypi.org/project/pythreejs,2023-02-20 00:24:01.104,52.0,83230.0,94434.0,https://anaconda.org/conda-forge/pythreejs,2022-09-06 14:51:41.037,465610.0,,,,,3.0,,,,jupyter-threejs,https://www.npmjs.com/package/jupyter-threejs,2023-02-20 00:16:17.277,10.0,5526.0,,,,,,,,,,,, +342,data-validation,tensorflow/data-validation,data-viz,,https://github.com/tensorflow/data-validation,https://github.com/tensorflow/data-validation,Apache-2.0,2018-07-02 15:47:02.000,2023-03-14 18:46:44.000000,2023-03-14 18:46:43,883.0,24.0,144,49.0,78.0,37.0,135.0,701,Library for exploring and validating machine learning data.,25.0,29,True,2022-12-08 22:44:02.510,1.12.0,42.0,tensorflow-data-validation,,,,"['tensorflow', 'jupyter']",667.0,639.0,https://pypi.org/project/tensorflow-data-validation,2022-12-08 22:44:02.510,28.0,886740.0,886747.0,,,,,,,,3.0,388.0,,,,,,,,,,,,,,,,,,, +343,TensorFlow I/O,tensorflow/io,tensorflow-utils,,https://github.com/tensorflow/io,https://github.com/tensorflow/io,Apache-2.0,2018-11-09 22:44:05.000,2023-03-14 17:29:56.000000,2023-03-14 17:23:19,1591.0,9.0,256,42.0,1195.0,243.0,351.0,628,"Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO.",98.0,29,True,2023-02-25 19:32:38.000,0.31.0,38.0,tensorflow-io,,,,['tensorflow'],32.0,,https://pypi.org/project/tensorflow-io,2023-01-21 14:20:00.598,32.0,1414719.0,1414719.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +344,mpi4py,mpi4py/mpi4py,distributed-ml,,https://github.com/mpi4py/mpi4py,https://github.com/mpi4py/mpi4py,BSD-2-Clause,2013-09-05 14:44:25.000,2023-03-16 13:55:25.000000,2023-03-16 13:54:41,2769.0,77.0,94,15.0,179.0,9.0,98.0,619,Python bindings for MPI.,23.0,29,True,2022-11-02 14:23:02.643,3.1.4,21.0,mpi4py,conda-forge/mpi4py,,,,683.0,,https://pypi.org/project/mpi4py,2022-11-02 14:23:02.643,683.0,172665.0,195425.0,https://anaconda.org/conda-forge/mpi4py,2022-11-03 07:59:52.887,1750366.0,,,,,2.0,10257.0,,,,,,,,,,,,,,,,,,, +345,Neptune.ai,neptune-ai/neptune-client,ml-experiments,,https://github.com/neptune-ai/neptune-client,https://github.com/neptune-ai/neptune-client,Apache-2.0,2019-02-11 11:25:57.000,2023-03-16 08:17:42.000000,2023-03-16 08:17:40,1392.0,170.0,37,15.0,1119.0,30.0,166.0,371,Experiment tracking tool and model registry.,38.0,29,True,2023-03-15 12:22:47.000,1.1.0rc0,154.0,neptune-client,conda-forge/neptune-client,,,,46.0,,https://pypi.org/project/neptune-client,2022-07-01 13:52:49.000,46.0,570427.0,574714.0,https://anaconda.org/conda-forge/neptune-client,2023-03-14 12:33:30.757,162916.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +346,Cython BLIS,explosion/cython-blis,others,,https://github.com/explosion/cython-blis,https://github.com/explosion/cython-blis,BSD-3-Clause,2017-10-15 09:56:16.000,2022-11-15 08:47:23.392000,2022-11-04 11:17:17,559.0,,38,15.0,54.0,6.0,25.0,199,Fast matrix-multiplication as a self-contained Python library no system dependencies!.,12.0,29,False,2022-10-16 09:56:09.000,0.7.9,44.0,blis,conda-forge/cython-blis,,,,25275.0,25040.0,https://pypi.org/project/blis,2022-10-16 09:05:00.792,235.0,4124793.0,4161927.0,https://anaconda.org/conda-forge/cython-blis,2022-11-15 08:47:23.392,1782458.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +347,Dopamine,google/dopamine,reinforcement-learning,,https://github.com/google/dopamine,https://github.com/google/dopamine,Apache-2.0,2018-07-26 09:58:36.000,2023-02-27 20:05:09.000000,2023-02-27 20:05:07,319.0,5.0,1341,442.0,43.0,89.0,86.0,10038,Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.,15.0,28,True,2022-09-21 20:20:42.649,4.0.6,44.0,dopamine-rl,,,,['tensorflow'],39.0,,https://pypi.org/project/dopamine-rl,2022-09-21 20:20:42.649,39.0,151644.0,151644.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +348,english-words,dwyl/english-words,nlp,,https://github.com/dwyl/english-words,https://github.com/dwyl/english-words,Unlicense,2014-07-13 22:20:45.000,2023-01-06 00:05:02.564000,2022-11-08 22:11:16,98.0,,1637,191.0,65.0,89.0,32.0,8769,A text file containing 479k English words for all your dictionary/word-based projects e.g: auto-completion /..,30.0,28,True,2023-01-06 00:05:02.564,2.0.0,8.0,english-words,,,,,7.0,,https://pypi.org/project/english-words,2023-01-06 00:05:02.564,7.0,309146.0,309146.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +349,NuPIC,numenta/nupic,ml-frameworks,,https://github.com/numenta/nupic,https://github.com/numenta/nupic,AGPL-3.0,2013-04-05 23:14:27.000,2022-12-20 01:05:44.000000,2019-10-23 20:45:07,6625.0,,1584,628.0,2111.0,464.0,1338.0,6310,"Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of..",123.0,28,False,2018-06-01 15:37:54.000,1.0.5,53.0,nupic,,,,,153.0,115.0,https://pypi.org/project/nupic,2018-06-01 15:37:54.000,38.0,1449.0,1449.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +350,keras-rl,keras-rl/keras-rl,reinforcement-learning,,https://github.com/keras-rl/keras-rl,https://github.com/keras-rl/keras-rl,MIT,2016-07-02 15:53:12.000,2022-12-15 12:11:23.000000,2019-11-11 22:14:54,308.0,,1323,210.0,157.0,40.0,227.0,5385,Deep Reinforcement Learning for Keras.,41.0,28,False,2018-06-01 07:52:24.000,0.4.2,8.0,keras-rl,,,,['tensorflow'],719.0,666.0,https://pypi.org/project/keras-rl,2018-06-01 07:52:24.000,53.0,2166.0,2166.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +351,pyAudioAnalysis,tyiannak/pyAudioAnalysis,audio,,https://github.com/tyiannak/pyAudioAnalysis,https://github.com/tyiannak/pyAudioAnalysis,Apache-2.0,2014-08-27 12:43:13.000,2022-11-14 14:53:09.000000,2022-09-18 19:55:03,775.0,,1129,211.0,90.0,187.0,120.0,5189,"Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications.",27.0,28,True,2022-02-07 22:36:53.000,0.3.14,23.0,pyAudioAnalysis,,,,,357.0,338.0,https://pypi.org/project/pyAudioAnalysis,2022-02-07 22:36:53.000,19.0,13451.0,13451.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +352,Edward,blei-lab/edward,probabilistics,,https://github.com/blei-lab/edward,https://github.com/blei-lab/edward,Apache-2.0,2016-02-10 20:06:05.000,2019-10-22 20:30:48.000000,2018-07-25 01:28:08,1796.0,,780,277.0,437.0,221.0,328.0,4766,"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'],330.0,289.0,https://pypi.org/project/edward,2018-01-22 06:03:05.000,41.0,1118.0,1118.0,,,,,,,,3.0,15.0,,,,,,,,,,,,,,,,,,, +353,yellowbrick,DistrictDataLabs/yellowbrick,interpretability,,https://github.com/DistrictDataLabs/yellowbrick,https://github.com/DistrictDataLabs/yellowbrick,Apache-2.0,2016-05-18 14:12:17.000,2023-03-07 21:55:49.000000,2023-03-07 21:55:49,899.0,3.0,541,105.0,613.0,90.0,603.0,3939,Visual analysis and diagnostic tools to facilitate machine learning model selection.,112.0,28,True,2022-08-21 12:49:43.000,1.5,24.0,yellowbrick,conda-forge/yellowbrick,,,['sklearn'],67.0,,https://pypi.org/project/yellowbrick,2022-08-21 16:11:55.287,67.0,868956.0,870743.0,https://anaconda.org/conda-forge/yellowbrick,2022-08-22 23:53:21.096,55426.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +354,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,,977,216.0,408.0,139.0,402.0,3843,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,,,,,1229.0,968.0,https://pypi.org/project/lasagne,2021-12-15 16:05:43.118,261.0,3729.0,3729.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +355,gpustat,wookayin/gpustat,gpu-utilities,,https://github.com/wookayin/gpustat,https://github.com/wookayin/gpustat,MIT,2016-04-24 10:46:43.000,2023-03-05 13:44:30.000000,2023-03-05 13:44:20,225.0,8.0,254,43.0,47.0,22.0,83.0,3278,A simple command-line utility for querying and monitoring GPU status.,17.0,28,True,2022-09-04 23:51:40.000,1.0,13.0,gpustat,conda-forge/gpustat,,,,3201.0,3081.0,https://pypi.org/project/gpustat,2022-09-04 23:50:28.926,120.0,1051959.0,1055800.0,https://anaconda.org/conda-forge/gpustat,2022-10-11 21:06:30.582,184404.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +356,Hummingbird,microsoft/hummingbird,model-serialisation,,https://github.com/microsoft/hummingbird,https://github.com/microsoft/hummingbird,MIT,2020-03-12 20:27:03.000,2023-03-16 04:35:26.000000,2023-03-16 04:11:29,429.0,13.0,261,47.0,410.0,54.0,228.0,3099,Hummingbird compiles trained ML models into tensor computation for faster inference.,37.0,28,True,2023-02-28 17:31:57.000,0.4.8,21.0,hummingbird-ml,conda-forge/hummingbird-ml,,,,72.0,68.0,https://pypi.org/project/hummingbird-ml,2023-02-28 17:31:30.149,4.0,6499.0,7480.0,https://anaconda.org/conda-forge/hummingbird-ml,2023-02-28 20:55:58.392,23420.0,,,,,2.0,220.0,,,,,,,,,,,,,,,,,,, +357,Acme,deepmind/acme,reinforcement-learning,,https://github.com/deepmind/acme,https://github.com/deepmind/acme,Apache-2.0,2020-05-01 09:18:12.000,2023-03-11 16:14:44.000000,2023-03-11 16:13:58,1170.0,19.0,377,81.0,49.0,42.0,198.0,3049,A library of reinforcement learning components and agents.,82.0,28,True,2022-02-10 06:52:01.000,0.4.0,15.0,dm-acme,conda-forge/dm-acme,,,['tensorflow'],133.0,131.0,https://pypi.org/project/dm-acme,2022-02-10 06:52:27.000,2.0,4641.0,4841.0,https://anaconda.org/conda-forge/dm-acme,2021-12-09 14:52:24.765,5610.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +358,PARL,PaddlePaddle/PARL,reinforcement-learning,,https://github.com/PaddlePaddle/PARL,https://github.com/PaddlePaddle/PARL,Apache-2.0,2018-04-25 17:54:22.000,2023-03-16 13:47:01.000000,2023-03-16 05:23:43,504.0,26.0,797,63.0,614.0,89.0,388.0,2925,A high-performance distributed training framework for Reinforcement Learning.,38.0,28,True,2023-03-14 02:03:08.557,2.2.1,29.0,parl,,,,['paddle'],108.0,107.0,https://pypi.org/project/parl,2022-11-28 11:22:00.415,1.0,1327.0,1327.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +359,fastNLP,fastnlp/fastNLP,nlp,,https://github.com/fastnlp/fastNLP,https://github.com/fastnlp/fastNLP,Apache-2.0,2018-03-07 13:30:20.000,2023-03-08 02:41:37.000000,2022-12-13 03:52:09,2484.0,,443,83.0,244.0,54.0,154.0,2858,fastNLP: A Modularized and Extensible NLP Framework. Currently still in incubation.,62.0,28,True,2020-11-06 15:31:29.000,0.6.0,10.0,fastnlp,,,,,127.0,124.0,https://pypi.org/project/fastnlp,2019-02-04 02:35:37.000,3.0,8631.0,8632.0,,,,,,,,2.0,67.0,,,,,,,,,,,,,,,,,,, +360,pygal,Kozea/pygal,graph,,https://github.com/Kozea/pygal,https://github.com/Kozea/pygal,LGPL-3.0,2011-09-23 10:17:50.000,2023-03-08 10:33:28.000000,2021-11-24 21:04:02,1018.0,,405,132.0,129.0,183.0,244.0,2522,PYthon svg GrAph plotting Library.,72.0,28,False,2021-11-24 21:07:22.000,3.0.0,75.0,pygal,conda-forge/pygal,,,,627.0,,https://pypi.org/project/pygal,2021-11-24 21:07:22.000,627.0,118349.0,119001.0,https://anaconda.org/conda-forge/pygal,2023-01-20 00:24:48.867,29343.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +361,GluonNLP,dmlc/gluon-nlp,nlp,,https://github.com/dmlc/gluon-nlp,https://github.com/dmlc/gluon-nlp,Apache-2.0,2018-04-04 20:57:13.000,2022-12-25 20:52:27.000000,2022-12-25 20:52:27,843.0,1.0,519,100.0,1043.0,260.0,296.0,2479,"Toolkit that enables easy text preprocessing, datasets loading and neural models building to help you speed up your..",84.0,28,True,2020-08-13 19:17:42.000,0.10.0,26.0,gluonnlp,,,,['mxnet'],1178.0,1156.0,https://pypi.org/project/gluonnlp,2020-08-13 19:17:42.000,22.0,195326.0,195326.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +362,Essentia,MTG/essentia,audio,,https://github.com/MTG/essentia,https://github.com/MTG/essentia,AGPL-3.0,2013-06-03 14:53:47.000,2023-02-28 15:34:16.000000,2023-02-28 15:34:15,3285.0,96.0,482,111.0,321.0,380.0,621.0,2334,"C++ library for audio and music analysis, description and synthesis, including Python bindings.",77.0,28,False,2015-03-31 16:33:30.000,2.0,17.0,essentia,,,,,416.0,401.0,https://pypi.org/project/essentia,2023-01-11 14:10:02.525,15.0,5444.0,5444.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +363,scikit-plot,reiinakano/scikit-plot,interpretability,,https://github.com/reiinakano/scikit-plot,https://github.com/reiinakano/scikit-plot,MIT,2017-02-04 06:22:59.000,2023-01-31 08:56:28.000000,2018-08-19 12:37:47,130.0,,279,65.0,58.0,25.0,39.0,2294,An intuitive library to add plotting functionality to scikit-learn objects.,13.0,28,False,2018-08-19 12:21:01.000,0.3.7,27.0,scikit-plot,conda-forge/scikit-plot,,,['sklearn'],3080.0,3012.0,https://pypi.org/project/scikit-plot,2018-08-19 12:18:46.000,68.0,615249.0,617397.0,https://anaconda.org/conda-forge/scikit-plot,2019-06-05 14:23:59.043,146096.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +364,Spektral,danielegrattarola/spektral,graph,,https://github.com/danielegrattarola/spektral,https://github.com/danielegrattarola/spektral,MIT,2019-01-17 11:19:10.000,2023-03-10 01:59:56.000000,2023-02-11 12:27:23,1120.0,11.0,332,43.0,56.0,57.0,198.0,2238,Graph Neural Networks with Keras and Tensorflow 2.,26.0,28,True,2022-07-22 15:16:38.000,1.2,33.0,spektral,,,,['tensorflow'],195.0,192.0,https://pypi.org/project/spektral,2022-07-22 15:05:22.653,3.0,6283.0,6283.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +365,polyglot,aboSamoor/polyglot,nlp,,https://github.com/aboSamoor/polyglot,https://github.com/aboSamoor/polyglot,GPL-3.0,2014-06-30 02:07:45.000,2023-02-24 18:44:15.000000,2020-09-22 22:35:28,271.0,,315,80.0,54.0,161.0,68.0,2123,Multilingual text (NLP) processing toolkit.,26.0,28,False,2021-12-15 16:11:38.716,15.5.1,9.0,polyglot,,,,,1035.0,944.0,https://pypi.org/project/polyglot,2016-07-03 20:05:42.000,91.0,68227.0,68227.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +366,IB-insync,erdewit/ib_insync,financial-data,,https://github.com/erdewit/ib_insync,https://github.com/erdewit/ib_insync,BSD-2-Clause,2017-07-12 12:09:24.000,2023-03-12 13:26:42.000000,2023-02-15 11:09:13,705.0,6.0,539,169.0,68.0,9.0,464.0,2083,Python sync/async framework for Interactive Brokers API.,33.0,28,True,2022-12-16 09:33:01.063,0.9.81,106.0,ib_insync,conda-forge/ib-insync,,,,24.0,,https://pypi.org/project/ib_insync,2022-12-16 09:33:01.063,24.0,14640.0,15255.0,https://anaconda.org/conda-forge/ib-insync,2023-01-03 03:43:36.548,27082.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +367,scattertext,JasonKessler/scattertext,nlp,,https://github.com/JasonKessler/scattertext,https://github.com/JasonKessler/scattertext,Apache-2.0,2016-07-21 01:47:12.000,2023-02-28 09:33:27.000000,2023-02-28 09:33:21,377.0,10.0,277,55.0,13.0,19.0,76.0,2051,Beautiful visualizations of how language differs among document types.,13.0,28,True,2023-02-28 10:09:33.410,0.1.17,146.0,scattertext,conda-forge/scattertext,,,,367.0,357.0,https://pypi.org/project/scattertext,2022-03-26 09:23:49.000,10.0,11614.0,12728.0,https://anaconda.org/conda-forge/scattertext,2022-12-08 14:02:02.569,74670.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +368,Pillow-SIMD,uploadcare/pillow-simd,image,,https://github.com/uploadcare/pillow-simd,https://github.com/uploadcare/pillow-simd,PIL,2014-11-12 15:33:02.000,2023-03-14 11:40:28.000000,2022-08-31 08:37:05,12564.0,,82,43.0,46.0,10.0,73.0,1937,The friendly PIL fork.,385.0,28,False,2022-01-02 09:51:23.000,9.0.0,47.0,pillow-simd,,,,,49.0,,https://pypi.org/project/pillow-simd,2022-01-04 16:11:51.000,49.0,62850.0,62850.0,,,,,,,,3.0,,,2.0,,,,,,,,,,,,,,,,, +369,AmpliGraph,Accenture/AmpliGraph,graph,,https://github.com/Accenture/AmpliGraph,https://github.com/Accenture/AmpliGraph,Apache-2.0,2019-01-09 14:52:05.000,2023-03-09 09:14:59.000000,2023-03-08 18:29:46,1478.0,317.0,233,65.0,58.0,32.0,183.0,1911,Python library for Representation Learning on Knowledge Graphs https://docs.ampligraph.org.,20.0,28,True,2023-03-08 18:54:25.000,2.0.0,13.0,ampligraph,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/ampligraph,2021-05-25 16:47:29.000,,623.0,623.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +370,Norfair,tryolabs/norfair,image,,https://github.com/tryolabs/norfair,https://github.com/tryolabs/norfair,BSD-3-Clause,2020-07-01 20:15:44.000,2023-03-07 18:57:38.000000,2023-02-09 17:16:58,658.0,32.0,180,34.0,130.0,3.0,116.0,1780,Lightweight Python library for adding real-time multi-object tracking to any detector.,24.0,28,True,2023-01-04 21:42:02.301,2.2.0,19.0,norfair,,,,,98.0,97.0,https://pypi.org/project/norfair,2023-01-04 21:42:02.301,1.0,12516.0,12524.0,,,,,,,,3.0,246.0,,,,,,,,,,,,,,,,,,, +371,lightning-flash,Lightning-AI/lightning-flash,pytorch-utils,,https://github.com/Lightning-AI/lightning-flash,https://github.com/Lightning-AI/lightning-flash,Apache-2.0,2021-01-28 18:47:16.000,2023-03-13 12:19:47.000000,2023-03-07 11:37:51,1000.0,21.0,193,36.0,928.0,36.0,479.0,1650,Your PyTorch AI Factory - Flash enables you to easily configure and run complex AI recipes for over 15 tasks across 7..,84.0,28,True,2023-01-05 06:10:26.000,0.8.1.post0,39.0,lightning-flash,conda-forge/lightning-flash,,,['pytorch'],210.0,206.0,https://pypi.org/project/lightning-flash,2023-01-05 06:11:45.680,4.0,2439.0,2984.0,https://anaconda.org/conda-forge/lightning-flash,2022-11-08 12:21:59.568,10364.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +372,explainerdashboard,oegedijk/explainerdashboard,interpretability,,https://github.com/oegedijk/explainerdashboard,https://github.com/oegedijk/explainerdashboard,MIT,2019-10-30 08:26:16.000,2023-02-20 00:17:31.890000,2023-02-18 21:10:11,1319.0,30.0,208,18.0,38.0,12.0,187.0,1603,Quickly build Explainable AI dashboards that show the inner workings of so-called blackbox machine learning models.,19.0,28,True,2023-02-19 21:13:25.000,0.4.2.1,86.0,explainerdashboard,conda-forge/explainerdashboard,,,,244.0,238.0,https://pypi.org/project/explainerdashboard,2023-01-02 22:18:35.141,6.0,34791.0,35898.0,https://anaconda.org/conda-forge/explainerdashboard,2023-02-20 00:17:31.890,29914.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +373,ogb,snap-stanford/ogb,graph,,https://github.com/snap-stanford/ogb,https://github.com/snap-stanford/ogb,MIT,2019-11-22 22:13:57.000,2023-03-03 06:15:14.000000,2023-01-27 22:50:27,635.0,2.0,364,39.0,43.0,7.0,243.0,1586,"Benchmark datasets, data loaders, and evaluators for graph machine learning.",24.0,28,True,2022-11-02 22:06:17.000,1.3.5,18.0,ogb,conda-forge/ogb,,,,693.0,674.0,https://pypi.org/project/ogb,2022-11-02 22:00:56.960,19.0,39087.0,39757.0,https://anaconda.org/conda-forge/ogb,2022-11-03 10:20:02.944,20122.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +374,TabPy,tableau/TabPy,others,,https://github.com/tableau/TabPy,https://github.com/tableau/TabPy,MIT,2016-09-27 21:26:03.000,2023-03-13 22:16:25.000000,2023-01-31 17:28:56,904.0,6.0,538,110.0,258.0,10.0,298.0,1381,Execute Python code on the fly and display results in Tableau visualizations:.,47.0,28,True,2023-01-30 23:34:02.112,2.6.0,27.0,tabpy,anaconda/tabpy-client,,,,120.0,118.0,https://pypi.org/project/tabpy,2023-01-30 23:34:02.112,2.0,20099.0,20149.0,https://anaconda.org/anaconda/tabpy-client,2022-05-02 20:36:07.551,3607.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +375,pycm,sepandhaghighi/pycm,others,,https://github.com/sepandhaghighi/pycm,https://github.com/sepandhaghighi/pycm,MIT,2018-01-22 19:46:54.000,2023-03-03 18:38:45.000000,2023-02-01 13:37:13,3013.0,14.0,116,35.0,300.0,11.0,177.0,1360,Multi-class confusion matrix library in Python.,17.0,28,True,2023-02-01 14:10:52.000,3.8,42.0,pycm,,,,,214.0,201.0,https://pypi.org/project/pycm,2022-04-27 15:18:44.000,13.0,36999.0,36999.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +376,pingouin,raphaelvallat/pingouin,probabilistics,,https://github.com/raphaelvallat/pingouin,https://github.com/raphaelvallat/pingouin,GPL-3.0,2018-04-01 01:10:22.000,2023-03-09 08:46:08.000000,2023-03-09 08:46:07,1220.0,12.0,120,29.0,87.0,35.0,215.0,1293,Statistical package in Python based on Pandas.,41.0,28,False,2023-01-02 16:01:44.953,0.5.3,39.0,pingouin,conda-forge/pingouin,,,,35.0,,https://pypi.org/project/pingouin,2023-01-02 16:01:44.953,35.0,71208.0,72902.0,https://anaconda.org/conda-forge/pingouin,2022-12-30 03:59:42.755,86440.0,,,,,3.0,,,-3.0,,,,,,,,,,,,,,,,, +377,audiomentations,iver56/audiomentations,audio,,https://github.com/iver56/audiomentations,https://github.com/iver56/audiomentations,MIT,2019-02-12 16:36:24.000,2023-03-15 09:04:00.000000,2023-03-15 09:03:54,956.0,25.0,159,19.0,119.0,44.0,110.0,1290,A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.,23.0,28,True,2023-03-15 09:00:47.963,0.29.0,32.0,audiomentations,,,,,222.0,220.0,https://pypi.org/project/audiomentations,2023-01-12 13:15:08.451,2.0,8306.0,8306.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +378,DALEX,ModelOriented/DALEX,interpretability,,https://github.com/ModelOriented/DALEX,https://github.com/ModelOriented/DALEX,GPL-3.0,2018-02-18 03:24:12.000,2023-03-10 14:47:04.000000,2023-03-10 14:47:01,665.0,20.0,157,45.0,160.0,18.0,371.0,1168,moDel Agnostic Language for Exploration and eXplanation.,24.0,28,False,2023-02-16 21:26:00.740,1.6.0,26.0,dalex,conda-forge/dalex,,,,98.0,93.0,https://pypi.org/project/dalex,2022-09-07 14:45:39.364,5.0,11007.0,11298.0,https://anaconda.org/conda-forge/dalex,2022-09-10 12:54:29.083,7567.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +379,kmodes,nicodv/kmodes,others,,https://github.com/nicodv/kmodes,https://github.com/nicodv/kmodes,MIT,2013-08-01 11:54:40.000,2023-02-21 02:39:30.000000,2023-02-21 02:39:30,524.0,2.0,391,50.0,36.0,18.0,136.0,1129,"Python implementations of the k-modes and k-prototypes clustering algorithms, for clustering categorical data.",21.0,28,True,2022-09-06 19:52:23.000,0.12.2,17.0,kmodes,conda-forge/kmodes,,,,1861.0,1835.0,https://pypi.org/project/kmodes,2022-09-06 19:38:02.764,26.0,400197.0,400944.0,https://anaconda.org/conda-forge/kmodes,2022-09-06 23:41:05.253,26175.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +380,underthesea,undertheseanlp/underthesea,nlp,,https://github.com/undertheseanlp/underthesea,https://github.com/undertheseanlp/underthesea,GPL-3.0,2017-03-01 10:24:26.000,2023-03-15 10:01:11.000000,2023-03-06 22:06:25,831.0,45.0,254,72.0,453.0,31.0,183.0,1109,Underthesea - Vietnamese NLP Toolkit.,17.0,28,False,2023-03-04 06:44:00.754,6.2.0,119.0,underthesea,,,,,594.0,570.0,https://pypi.org/project/underthesea,2023-01-25 02:54:00.562,24.0,7427.0,7460.0,,,,,,,,2.0,2350.0,,,,,,,,,,,,,,,,,,, +381,arch,bashtage/arch,financial-data,,https://github.com/bashtage/arch,https://github.com/bashtage/arch,NCSA,2014-08-29 15:41:28.000,2023-03-15 15:40:14.000000,2022-11-10 15:10:21,1014.0,,229,42.0,447.0,28.0,165.0,1075,ARCH models in Python.,33.0,28,False,2022-06-22 10:47:05.000,5.3.1,38.0,arch,conda-forge/arch-py,,,,888.0,840.0,https://pypi.org/project/arch,2022-06-22 10:47:05.000,48.0,223215.0,228384.0,https://anaconda.org/conda-forge/arch-py,2022-11-02 11:27:15.758,206775.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +382,Prince,MaxHalford/prince,others,,https://github.com/MaxHalford/prince,https://github.com/MaxHalford/prince,MIT,2016-10-22 12:36:06.000,2023-03-11 11:42:52.000000,2023-03-11 11:42:49,326.0,115.0,166,22.0,25.0,1.0,114.0,955,"Multivariate exploratory data analysis in Python: PCA, CA, MCA, MFA, FAMD, GPA.",14.0,28,True,2023-03-11 11:45:00.747,0.8.3,45.0,prince,conda-forge/prince-factor-analysis,,,['sklearn'],328.0,319.0,https://pypi.org/project/prince,2020-10-06 11:26:47.000,9.0,36557.0,36912.0,https://anaconda.org/conda-forge/prince-factor-analysis,2021-04-30 17:46:15.443,14225.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +383,dask-ml,dask/dask-ml,distributed-ml,,https://github.com/dask/dask-ml,https://github.com/dask/dask-ml,BSD-3-Clause,2017-06-15 15:56:06.000,2023-02-10 17:20:34.000000,2023-02-10 17:13:54,810.0,4.0,237,42.0,499.0,263.0,248.0,838,Scalable Machine Learning with Dask.,77.0,28,True,2022-05-27 14:17:46.000,2022.5.27,34.0,dask-ml,conda-forge/dask-ml,,,,834.0,769.0,https://pypi.org/project/dask-ml,2022-05-27 14:17:46.000,65.0,184390.0,194785.0,https://anaconda.org/conda-forge/dask-ml,2022-05-27 20:11:18.984,675726.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +384,Guild AI,guildai/guildai,ml-experiments,,https://github.com/guildai/guildai,https://github.com/guildai/guildai,Apache-2.0,2017-09-27 18:57:50.000,2023-03-10 19:38:20.000000,2023-03-10 19:38:16,5542.0,330.0,71,13.0,70.0,194.0,216.0,778,"Experiment tracking, ML developer tools.",25.0,28,True,2023-02-25 17:16:57.621,0.9.0,186.0,guildai,,,,,74.0,74.0,https://pypi.org/project/guildai,2022-10-18 18:47:15.057,,3665.0,3665.0,,,,,,,,3.0,7.0,,,,,,,,,,,,,,,,,,, +385,CellProfiler,CellProfiler/CellProfiler,image,,https://github.com/CellProfiler/CellProfiler,https://github.com/CellProfiler/CellProfiler,BSD-3-Clause,2011-04-05 12:10:12.000,2023-03-16 14:54:20.000000,2023-03-16 14:54:11,15565.0,33.0,348,43.0,1578.0,223.0,2938.0,749,An open-source application for biological image analysis.,134.0,28,True,2022-12-15 14:58:00.393,4.2.5,47.0,cellprofiler,,,,,16.0,16.0,https://pypi.org/project/cellprofiler,2022-12-15 14:58:00.393,,559.0,601.0,,,,,,,,3.0,4659.0,,,,,,,,,,,,,,,,,,, +386,PyNNDescent,lmcinnes/pynndescent,nn-search,,https://github.com/lmcinnes/pynndescent,https://github.com/lmcinnes/pynndescent,BSD-2-Clause,2018-02-07 23:23:54.000,2023-02-24 18:01:24.000000,2023-02-24 18:01:24,638.0,7.0,93,12.0,89.0,58.0,59.0,732,A Python nearest neighbor descent for approximate nearest neighbors.,24.0,28,True,2022-10-31 17:20:00.872,0.5.8,27.0,pynndescent,conda-forge/pynndescent,,,,3073.0,3031.0,https://pypi.org/project/pynndescent,2022-10-31 17:20:00.872,42.0,891666.0,919320.0,https://anaconda.org/conda-forge/pynndescent,2022-11-01 18:13:43.063,1244462.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +387,ml-metadata,google/ml-metadata,ml-experiments,,https://github.com/google/ml-metadata,https://github.com/google/ml-metadata,Apache-2.0,2019-01-15 21:02:09.000,2023-03-10 20:30:42.000000,2023-03-10 20:30:41,707.0,15.0,118,28.0,77.0,27.0,70.0,520,For recording and retrieving metadata associated with ML developer and data scientist workflows.,15.0,28,True,2022-12-07 03:17:50.218,1.12.0,39.0,ml-metadata,,,,,327.0,308.0,https://pypi.org/project/ml-metadata,2022-12-07 03:17:50.218,19.0,794913.0,794951.0,,,,,,,,3.0,1825.0,,,,,,,,,,,,,,,,,,, +388,audioread,beetbox/audioread,audio,,https://github.com/beetbox/audioread,https://github.com/beetbox/audioread,MIT,2011-11-08 19:53:18.000,2022-11-18 23:21:26.000000,2022-11-18 23:21:14,272.0,,104,22.0,49.0,35.0,52.0,427,cross-library (GStreamer + Core Audio + MAD + FFmpeg) audio decoding for Python.,23.0,28,True,2022-08-12 20:27:02.876,3.0.0,26.0,audioread,conda-forge/audioread,,,,11988.0,11656.0,https://pypi.org/project/audioread,2022-08-12 20:27:02.876,332.0,1484397.0,1491814.0,https://anaconda.org/conda-forge/audioread,2022-10-29 09:59:12.158,593436.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +389,Ciphey,Ciphey/Ciphey,nlp,,https://github.com/Ciphey/Ciphey,https://github.com/Ciphey/Ciphey,MIT,2019-07-16 20:20:39.000,2023-03-10 03:01:44.209724,2022-12-05 17:31:41,1886.0,,736,206.0,449.0,52.0,256.0,11705,"Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes.",46.0,27,True,2021-06-06 17:14:16.000,5.14.0,50.0,ciphey,,remnux/ciphey,,,,,https://pypi.org/project/ciphey,2021-06-06 17:13:48.000,,26603.0,27007.0,,,,https://hub.docker.com/r/remnux/ciphey,2023-03-10 03:01:44.209724,11.0,17813.0,2.0,,,,,,,,,,,,,,,,,,,, +390,pandas-profiling,ydataai/pandas-profiling,data-viz,,,https://github.com/ydataai/pandas-profiling,MIT,2016-08-29 23:29:52.374,2023-01-31 11:20:01.127000,,,,1451,,,,,10316,"Deprecated pandas-profiling package, use ydata-profiling instead.",108.0,27,True,2023-01-31 11:20:01.127,3.6.6,40.0,pandas-profiling,conda-forge/pandas-profiling,,,"['jupyter', 'pandas']",317.0,133.0,https://pypi.org/project/pandas-profiling,2023-01-31 11:20:01.127,184.0,1139300.0,1143668.0,https://anaconda.org/conda-forge/pandas-profiling,2023-01-25 18:19:12.193,345125.0,,,,,3.0,,,-10.0,,,,,,,,,,,,,,,,, +391,pysc2,deepmind/pysc2,others,,https://github.com/deepmind/pysc2,https://github.com/deepmind/pysc2,Apache-2.0,2017-07-25 18:16:57.000,2022-12-08 17:55:31.000000,2022-08-07 11:07:38,571.0,,1151,355.0,75.0,50.0,228.0,7695,StarCraft II Learning Environment.,36.0,27,True,2022-07-13 12:08:43.000,4.0,8.0,pysc2,,,,,530.0,504.0,https://pypi.org/project/pysc2,2022-07-13 12:02:04.256,26.0,1970.0,2417.0,,,,,,,,3.0,29959.0,,,,,,,,,,,,,,,,,,, +392,TensorLayer,tensorlayer/tensorlayer,reinforcement-learning,,https://github.com/tensorlayer/TensorLayer,https://github.com/tensorlayer/TensorLayer,Apache-2.0,2016-06-07 15:55:16.000,2023-02-18 07:58:21.000000,2023-02-18 07:58:21,3353.0,1.0,1620,466.0,698.0,30.0,441.0,7161,Deep Learning and Reinforcement Learning Library for Scientists and Engineers.,132.0,27,True,2022-02-15 02:05:47.000,2.2.5,83.0,tensorlayer,,,,['tensorflow'],41.0,,https://pypi.org/project/tensorlayer,2022-02-15 02:05:47.000,41.0,2215.0,2233.0,,,,,,,,3.0,1462.0,,,,,,,,,,,,,,,,,,, +393,Face Alignment,1adrianb/face-alignment,image,,https://github.com/1adrianb/face-alignment,https://github.com/1adrianb/face-alignment,BSD-3-Clause,2017-09-15 20:32:44.000,2022-11-17 00:36:25.000000,2021-08-04 06:54:21,205.0,,1272,166.0,42.0,68.0,229.0,6159,2D and 3D Face alignment library build using pytorch.,23.0,27,False,2021-09-14 15:35:24.000,1.3.5,11.0,face-alignment,,,,['pytorch'],11.0,,https://pypi.org/project/face-alignment,2021-09-14 15:35:24.000,11.0,26543.0,26543.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +394,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,,1332,347.0,14.0,40.0,65.0,6029,Python library for processing Chinese text.,8.0,27,False,2015-09-27 16:35:23.000,0.12.3,17.0,snownlp,,,,,1138.0,1099.0,https://pypi.org/project/snownlp,2015-09-27 16:35:23.000,39.0,8159.0,8159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +395,scikit-surprise,NicolasHug/Surprise,recommender-systems,,https://github.com/NicolasHug/Surprise,https://github.com/NicolasHug/Surprise,BSD-3-Clause,2016-10-23 14:59:38.000,2023-01-27 13:12:45.000000,2023-01-27 13:12:44,652.0,1.0,957,147.0,92.0,69.0,303.0,5725,A Python scikit for building and analyzing recommender systems.,45.0,27,True,2022-09-23 17:17:00.724,1.1.3,11.0,scikit-surprise,conda-forge/scikit-surprise,,,,49.0,,https://pypi.org/project/scikit-surprise,2022-09-23 17:17:00.724,49.0,98518.0,103263.0,https://anaconda.org/conda-forge/scikit-surprise,2022-10-31 12:22:53.263,294200.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +396,T5,google-research/text-to-text-transfer-transformer,nlp,,https://github.com/google-research/text-to-text-transfer-transformer,https://github.com/google-research/text-to-text-transfer-transformer,Apache-2.0,2019-10-17 21:45:14.000,2023-03-07 01:58:30.000000,2023-02-19 16:33:16,584.0,5.0,665,100.0,570.0,97.0,342.0,4840,Code for the paper Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer.,54.0,27,True,2021-10-18 13:55:26.000,0.9.3,28.0,t5,,,,['tensorflow'],159.0,156.0,https://pypi.org/project/t5,2021-10-18 13:55:26.000,3.0,16166.0,16166.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +397,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,,606,163.0,130.0,74.0,101.0,4509,A collection of infrastructure and tools for research in neural network interpretability.,40.0,27,False,2021-03-19 16:01:00.000,0.3.10,17.0,lucid,,,,['tensorflow'],695.0,689.0,https://pypi.org/project/lucid,2021-03-19 16:01:00.000,6.0,2072.0,2072.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +398,vaderSentiment,cjhutto/vaderSentiment,nlp,,https://github.com/cjhutto/vaderSentiment,https://github.com/cjhutto/vaderSentiment,MIT,2014-11-17 16:31:45.000,2022-11-11 08:07:23.000000,2022-04-01 13:57:36,131.0,,927,140.0,30.0,46.0,77.0,3887,VADER Sentiment Analysis. VADER (Valence Aware Dictionary and sEntiment Reasoner) is a lexicon and rule-based..,11.0,27,True,2020-05-22 15:07:00.000,3.3.2,15.0,vadersentiment,conda-forge/vadersentiment,,,,6458.0,6283.0,https://pypi.org/project/vadersentiment,2020-05-22 15:07:00.000,175.0,217452.0,217930.0,https://anaconda.org/conda-forge/vadersentiment,2021-03-22 07:41:03.629,11488.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +399,TensorFlowOnSpark,yahoo/TensorFlowOnSpark,distributed-ml,,https://github.com/yahoo/TensorFlowOnSpark,https://github.com/yahoo/TensorFlowOnSpark,Apache-2.0,2017-01-20 18:15:57.000,2023-03-10 19:00:55.000000,2022-04-21 18:24:14,631.0,,964,284.0,223.0,10.0,355.0,3851,TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.,34.0,27,True,2022-04-21 20:41:22.000,2.2.5,32.0,tensorflowonspark,conda-forge/tensorflowonspark,,,"['tensorflow', 'spark']",5.0,,https://pypi.org/project/tensorflowonspark,2022-04-21 20:05:56.000,5.0,204453.0,204869.0,https://anaconda.org/conda-forge/tensorflowonspark,2022-08-21 17:05:30.737,16231.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +400,pytorch-summary,sksq96/pytorch-summary,pytorch-utils,,https://github.com/sksq96/pytorch-summary,https://github.com/sksq96/pytorch-summary,MIT,2018-04-23 13:58:04.000,2022-10-26 06:08:44.000000,2021-05-10 18:34:53,57.0,,404,38.0,54.0,118.0,43.0,3773,Model summary in PyTorch similar to `model.summary()` in Keras.,11.0,27,False,2018-09-26 05:07:28.000,1.5.1,12.0,torchsummary,,,,['pytorch'],8445.0,8374.0,https://pypi.org/project/torchsummary,2018-09-26 05:07:28.000,71.0,135065.0,135065.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +401,TextDistance,life4/textdistance,nlp,,https://github.com/life4/textdistance,https://github.com/life4/textdistance,MIT,2017-05-05 08:46:10.000,2022-09-20 04:46:27.856000,2022-09-18 07:45:53,376.0,,241,61.0,45.0,9.0,,3075,"Compute distance between sequences. 30+ algorithms, pure python implementation, common interface, optional external..",13.0,27,True,2022-09-20 04:46:27.856,4.5.0,25.0,textdistance,conda-forge/textdistance,,,,3758.0,3702.0,https://pypi.org/project/textdistance,2022-09-20 04:46:27.856,56.0,441611.0,447429.0,https://anaconda.org/conda-forge/textdistance,2022-09-18 19:00:35.403,336665.0,,,,,2.0,889.0,,,,,,,,,,,,,,,,,,, +402,Porcupine,Picovoice/Porcupine,audio,,https://github.com/Picovoice/porcupine,https://github.com/Picovoice/porcupine,Apache-2.0,2018-03-08 01:55:25.000,2023-03-15 16:22:14.000000,2023-03-15 16:22:10,957.0,95.0,413,59.0,483.0,3.0,422.0,2901,On-device wake word detection powered by deep learning.,34.0,27,True,2022-06-28 23:59:24.000,2.1.4,29.0,pvporcupine,,,,,26.0,15.0,https://pypi.org/project/pvporcupine,2022-06-28 23:59:24.000,11.0,1885.0,1885.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +403,aubio,aubio/aubio,audio,,https://github.com/aubio/aubio,https://github.com/aubio/aubio,GPL-3.0,2009-12-04 21:07:44.000,2022-11-05 17:56:10.000000,2022-01-25 17:32:20,4123.0,,357,81.0,59.0,151.0,186.0,2900,a library for audio and music analysis.,24.0,27,False,2019-02-27 09:00:43.000,0.4.9,10.0,aubio,conda-forge/aubio,,,,390.0,365.0,https://pypi.org/project/aubio,2019-02-08 11:21:02.000,25.0,2916.0,11089.0,https://anaconda.org/conda-forge/aubio,2022-11-02 07:43:43.337,588472.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +404,DeepVariant,google/deepvariant,medical-data,,https://github.com/google/deepvariant,https://github.com/google/deepvariant,BSD-3-Clause,2017-11-23 01:56:22.000,2023-02-28 18:11:51.000000,2023-02-28 07:05:02,2087.0,66.0,660,165.0,54.0,7.0,560.0,2746,DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA..,26.0,27,True,2023-02-28 18:11:51.000,1.5.0,19.0,,bioconda/deepvariant,,,['tensorflow'],,,,,,,879.0,https://anaconda.org/bioconda/deepvariant,2022-06-05 19:39:33.507,50047.0,,,,,3.0,4574.0,,,,,,,,,,,,,,,,,,, +405,pytorch-forecasting,jdb78/pytorch-forecasting,time-series-data,,https://github.com/jdb78/pytorch-forecasting,https://github.com/jdb78/pytorch-forecasting,MIT,2020-07-03 13:05:24.000,2023-03-13 18:34:12.000000,2022-11-17 19:32:15,1563.0,,453,36.0,678.0,356.0,266.0,2671,Time series forecasting with PyTorch.,33.0,27,True,2022-09-07 11:55:46.373,0.10.3,33.0,pytorch-forecasting,conda-forge/pytorch-forecasting,,,,9.0,,https://pypi.org/project/pytorch-forecasting,2022-09-07 11:55:46.373,9.0,91410.0,92677.0,https://anaconda.org/conda-forge/pytorch-forecasting,2022-05-23 16:56:34.706,38029.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +406,Mars,mars-project/mars,others,,https://github.com/mars-project/mars,https://github.com/mars-project/mars,Apache-2.0,2018-12-05 16:04:03.000,2023-03-14 16:28:57.000000,2023-03-14 02:32:34,1285.0,15.0,312,93.0,2137.0,216.0,968.0,2568,"Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and..",45.0,27,True,2023-01-10 17:22:35.296,0.10.0,118.0,pymars,,,,,1.0,,https://pypi.org/project/pymars,2023-01-10 17:22:35.296,1.0,33707.0,33707.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +407,RecBole,RUCAIBox/RecBole,recommender-systems,,https://github.com/RUCAIBox/RecBole,https://github.com/RUCAIBox/RecBole,MIT,2020-06-11 15:18:11.000,2023-03-16 03:42:27.000000,2023-03-07 11:24:57,4200.0,119.0,466,39.0,956.0,72.0,582.0,2518,"A unified, comprehensive and efficient recommendation library.",60.0,27,True,2022-10-05 02:45:00.000,1.1.1,9.0,recbole,aibox/recbole,,,['pytorch'],2.0,,https://pypi.org/project/recbole,2022-10-05 02:00:00.642,2.0,2735.0,2840.0,https://anaconda.org/aibox/recbole,2022-10-05 02:30:11.592,2965.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +408,mljar-supervised,mljar/mljar-supervised,hyperopt,,https://github.com/mljar/mljar-supervised,https://github.com/mljar/mljar-supervised,MIT,2018-11-05 12:58:04.000,2023-01-02 17:10:49.041000,2022-12-30 13:38:57,1019.0,4.0,326,43.0,54.0,117.0,414.0,2513,"Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and..",20.0,27,True,2023-01-02 17:10:49.041,0.11.5,79.0,mljar-supervised,conda-forge/mljar-supervised,,,,67.0,65.0,https://pypi.org/project/mljar-supervised,2023-01-02 17:10:49.041,2.0,8222.0,8552.0,https://anaconda.org/conda-forge/mljar-supervised,2022-12-30 21:59:46.130,6934.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +409,Foolbox,bethgelab/foolbox,adversarial,,https://github.com/bethgelab/foolbox,https://github.com/bethgelab/foolbox,MIT,2017-06-14 13:05:48.000,2022-11-22 10:16:36.000000,2022-05-25 09:55:55,1696.0,,413,46.0,346.0,32.0,333.0,2429,"A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX.",32.0,27,True,2022-04-02 15:26:45.000,3.3.3,70.0,foolbox,conda-forge/foolbox,,,,474.0,461.0,https://pypi.org/project/foolbox,2022-04-02 15:26:45.000,13.0,2312.0,2611.0,https://anaconda.org/conda-forge/foolbox,2021-04-30 19:06:43.853,9598.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +410,StatsForecast,Nixtla/statsforecast,time-series-data,,https://github.com/Nixtla/statsforecast,https://github.com/Nixtla/statsforecast,Apache-2.0,2021-11-24 02:19:14.000,2023-03-15 21:32:21.000000,2023-03-14 20:13:04,1113.0,42.0,148,19.0,255.0,55.0,87.0,2333,Lightning fast forecasting with statistical and econometric models.,20.0,27,True,2023-02-28 19:25:43.000,1.5.0,26.0,statsforecast,conda-forge/statsforecast,,,,189.0,177.0,https://pypi.org/project/statsforecast,2022-12-01 04:10:47.608,12.0,327872.0,330261.0,https://anaconda.org/conda-forge/statsforecast,2023-03-09 15:13:56.487,28679.0,,,,,2.0,,,-2.0,,,,,,,,,,,,,,,,, +411,TextAttack,QData/TextAttack,adversarial,,https://github.com/QData/TextAttack,https://github.com/QData/TextAttack,MIT,2019-10-15 00:51:44.000,2023-03-06 05:41:36.000000,2022-12-21 19:51:12,2582.0,2.0,296,31.0,486.0,24.0,209.0,2272,"TextAttack is a Python framework for adversarial attacks, data augmentation, and model training in NLP..",58.0,27,True,2022-11-02 19:43:17.000,0.3.8,45.0,textattack,conda-forge/textattack,,,,156.0,149.0,https://pypi.org/project/textattack,2022-11-02 19:41:01.568,7.0,6735.0,6905.0,https://anaconda.org/conda-forge/textattack,2021-06-29 21:16:15.345,5120.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +412,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 06:02:49,213.0,1.0,317,65.0,38.0,94.0,159.0,2154,Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization.,22.0,27,True,2019-02-28 09:16:54.000,0.4.1,9.0,hyperas,,,,['tensorflow'],310.0,286.0,https://pypi.org/project/hyperas,2019-02-28 09:16:54.000,24.0,12150.0,12150.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +413,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,,285,66.0,14.0,25.0,46.0,2050,Stand-alone language identification system.,9.0,27,False,2016-04-05 22:34:15.000,1.1.6,8.0,langid,,,,,1567.0,1403.0,https://pypi.org/project/langid,2016-04-05 22:34:15.000,164.0,309810.0,309810.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +414,Fairness 360,Trusted-AI/AIF360,interpretability,,https://github.com/Trusted-AI/AIF360,https://github.com/Trusted-AI/AIF360,Apache-2.0,2018-08-22 20:47:15.000,2023-02-27 18:11:30.000000,2022-11-04 13:55:21,405.0,,647,87.0,222.0,161.0,86.0,1984,"A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and..",63.0,27,True,2022-09-03 03:41:16.000,0.5.0,10.0,aif360,conda-forge/aif360,,,,234.0,224.0,https://pypi.org/project/aif360,2022-09-03 03:40:40.010,10.0,9326.0,9494.0,https://anaconda.org/conda-forge/aif360,2022-09-04 13:59:05.366,5058.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +415,Neural Tangents,google/neural-tangents,ml-frameworks,,https://github.com/google/neural-tangents,https://github.com/google/neural-tangents,Apache-2.0,2019-04-08 16:48:48.000,2023-03-09 19:50:01.000000,2023-03-09 19:49:54,594.0,16.0,221,65.0,30.0,54.0,81.0,1973,Fast and Easy Infinite Neural Networks in Python.,24.0,27,True,2023-02-11 00:45:44.000,0.6.2,28.0,neural-tangents,,,,,65.0,64.0,https://pypi.org/project/neural-tangents,2022-09-19 22:06:53.213,1.0,3733.0,3741.0,,,,,,,,3.0,274.0,,,,,,,,,,,,,,,,,,, +416,Towhee,towhee-io/towhee,ml-frameworks,,https://github.com/towhee-io/towhee,https://github.com/towhee-io/towhee,Apache-2.0,2021-07-13 08:28:50.000,2023-03-16 11:36:19.000000,2023-03-14 11:11:54,1445.0,60.0,189,43.0,1876.0,10.0,574.0,1898,Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.,29.0,27,True,2022-12-02 13:36:05.650,0.9.0,20.0,towhee,,,,,,,https://pypi.org/project/towhee,2022-12-02 13:36:05.650,,1390.0,1462.0,,,,,,,,3.0,1082.0,,,,,,,,,,,,,,,,,,, +417,CausalNex,quantumblacklabs/causalnex,interpretability,,https://github.com/quantumblacklabs/causalnex,https://github.com/quantumblacklabs/causalnex,Apache-2.0,2019-12-12 15:26:09.000,2023-03-08 12:03:28.000000,2023-03-08 11:53:12,186.0,5.0,211,44.0,79.0,17.0,107.0,1812,A Python library that helps data scientists to infer causation rather than observing correlation.,32.0,27,True,2023-01-17 15:58:02.034,0.11.1,17.0,causalnex,,,,"['pytorch', 'sklearn']",86.0,84.0,https://pypi.org/project/causalnex,2023-01-17 15:58:02.034,2.0,9444.0,9444.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +418,TensorFlow Privacy,tensorflow/privacy,privacy-ml,,https://github.com/tensorflow/privacy,https://github.com/tensorflow/privacy,Apache-2.0,2018-12-21 18:46:46.000,2023-03-16 14:15:19.000000,2023-03-16 14:15:13,783.0,30.0,411,62.0,231.0,99.0,87.0,1734,Library for training machine learning models with privacy for training data.,53.0,27,True,2023-03-13 18:22:34.000,0.8.8,26.0,tensorflow-privacy,,,,['tensorflow'],14.0,,https://pypi.org/project/tensorflow-privacy,2022-10-19 20:29:02.229,14.0,24941.0,24943.0,,,,,,,,2.0,95.0,,,,,,,,,,,,,,,,,,, +419,anomalib,openvinotoolkit/anomalib,others,,https://github.com/openvinotoolkit/anomalib,https://github.com/openvinotoolkit/anomalib,Apache-2.0,2021-11-02 09:11:38.000,2023-03-16 12:49:30.000000,2023-03-13 16:00:37,391.0,60.0,308,27.0,415.0,36.0,372.0,1709,"An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-..",34.0,27,True,2023-03-01 12:44:37.000,0.4.0,21.0,anomalib,,,,,8.0,8.0,https://pypi.org/project/anomalib,2022-10-28 09:51:28.348,,4017.0,4028.0,,,,,,,,3.0,169.0,,,,,,,,,,,,,,,,,,, +420,DeepKE,zjunlp/deepke,nlp,,https://github.com/zjunlp/DeepKE,https://github.com/zjunlp/DeepKE,MIT,2018-08-01 01:54:52.000,2023-03-15 05:39:27.000000,2023-03-15 05:39:03,966.0,101.0,455,37.0,24.0,2.0,215.0,1692,An Open Toolkit for Knowledge Graph Extraction and Construction published at EMNLP2022 System Demonstrations.,17.0,27,True,2023-03-15 05:33:00.358,2.1.3,103.0,deepke,,,,['pytorch'],13.0,13.0,https://pypi.org/project/deepke,2022-12-28 13:45:51.322,,2649.0,2649.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +421,doctr,mindee/doctr,image,,https://github.com/mindee/doctr,https://github.com/mindee/doctr,Apache-2.0,2021-01-08 16:05:12.000,2023-03-09 18:25:39.000000,2023-02-15 14:48:10,688.0,9.0,212,27.0,746.0,51.0,187.0,1638,"docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by..",29.0,27,True,2022-09-29 11:52:22.795,0.6.0,12.0,python-doctr,,,,"['tensorflow', 'pytorch']",122.0,120.0,https://pypi.org/project/python-doctr,2022-09-29 11:52:22.795,2.0,6684.0,51442.0,,,,,,,,3.0,1118959.0,,,,,,,,,,,,,,,,,,, +422,TNT,pytorch/tnt,ml-experiments,,https://github.com/pytorch/tnt,https://github.com/pytorch/tnt,BSD-3-Clause,2016-12-10 11:49:58.000,2023-03-15 23:14:16.000000,2023-03-14 18:09:02,463.0,80.0,226,49.0,296.0,3.0,60.0,1510,A lightweight library for PyTorch training tools and utilities.,82.0,27,True,2018-07-29 23:16:03.000,0.0.4,3.0,torchnet,,,,['pytorch'],38.0,,https://pypi.org/project/torchnet,2018-07-29 23:16:03.000,38.0,14724.0,14724.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +423,chainercv,chainer/chainercv,image,,https://github.com/chainer/chainercv,https://github.com/chainer/chainercv,MIT,2017-02-13 04:15:10.000,2021-07-01 16:54:50.000000,2020-01-07 11:48:31,4930.0,,318,74.0,742.0,54.0,168.0,1479,ChainerCV: a Library for Deep Learning in Computer Vision.,39.0,27,False,2019-06-12 11:55:02.000,0.13.1,24.0,chainercv,,,,,366.0,335.0,https://pypi.org/project/chainercv,2019-06-12 11:55:40.000,31.0,1893.0,1893.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +424,SciSpacy,allenai/scispacy,nlp,,https://github.com/allenai/scispacy,https://github.com/allenai/scispacy,Apache-2.0,2018-09-24 21:45:52.000,2022-12-10 17:26:57.000000,2022-11-06 04:16:18,1003.0,,181,55.0,188.0,32.0,252.0,1342,A full spaCy pipeline and models for scientific/biomedical documents.,27.0,27,True,2022-09-07 00:28:02.587,0.5.1,12.0,scispacy,,,,,656.0,635.0,https://pypi.org/project/scispacy,2022-09-07 00:28:02.587,21.0,44342.0,44342.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +425,minisom,JustGlowing/minisom,others,,https://github.com/JustGlowing/minisom,https://github.com/JustGlowing/minisom,CC-BY-3.0,2013-07-03 10:10:06.000,2023-03-02 15:10:38.000000,2023-03-02 15:04:42,512.0,3.0,383,32.0,43.0,12.0,112.0,1203,MiniSom is a minimalistic implementation of the Self Organizing Maps.,26.0,27,False,2023-03-02 15:10:38.000,2.3.1,24.0,minisom,,,,,376.0,361.0,https://pypi.org/project/minisom,2022-02-25 07:49:30.000,15.0,16758.0,16758.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +426,PyKEEN,pykeen/pykeen,graph,,https://github.com/pykeen/pykeen,https://github.com/pykeen/pykeen,MIT,2020-02-24 07:26:03.000,2023-03-14 15:10:54.000000,2023-02-22 18:28:05,2784.0,21.0,155,25.0,632.0,97.0,401.0,1164,A Python library for learning and evaluating knowledge graph embeddings.,35.0,27,True,2023-02-22 18:29:02.145,1.10.1,46.0,pykeen,,,,,5.0,,https://pypi.org/project/pykeen,2023-02-22 18:29:02.145,5.0,2063.0,2067.0,,,,,,,,2.0,153.0,,,,,,,,,,,,,,,,,,, +427,openTSNE,pavlin-policar/openTSNE,data-viz,,https://github.com/pavlin-policar/openTSNE,https://github.com/pavlin-policar/openTSNE,BSD-3-Clause,2018-06-08 18:42:09.000,2023-02-20 21:02:02.819000,2023-02-20 15:22:10,647.0,24.0,141,24.0,118.0,2.0,118.0,1149,"Extensible, parallel implementations of t-SNE.",11.0,27,True,2023-02-20 15:48:01.050,0.7.1,25.0,opentsne,conda-forge/opentsne,,,,535.0,522.0,https://pypi.org/project/opentsne,2022-03-18 13:53:43.000,13.0,50614.0,54301.0,https://anaconda.org/conda-forge/opentsne,2023-02-20 21:02:02.819,188052.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +428,keras-ocr,faustomorales/keras-ocr,ocr,,https://github.com/faustomorales/keras-ocr,https://github.com/faustomorales/keras-ocr,MIT,2019-09-20 23:08:50.000,2023-01-22 07:25:38.000000,2022-12-24 01:52:28,204.0,3.0,305,47.0,42.0,78.0,110.0,1143,A packaged and flexible version of the CRAFT text detector and Keras CRNN recognition model.,17.0,27,True,2022-12-24 01:56:46.564,0.9.2,32.0,keras-ocr,anaconda/keras-ocr,,,['tensorflow'],213.0,208.0,https://pypi.org/project/keras-ocr,2022-12-24 01:56:46.564,5.0,10485.0,26457.0,https://anaconda.org/anaconda/keras-ocr,2022-01-14 10:29:35.968,151.0,,,,,3.0,479033.0,,,,,,,,,,,,,,,,,,, +429,PySAL,pysal/pysal,geospatial-data,,https://github.com/pysal/pysal,https://github.com/pysal/pysal,BSD-3-Clause,2013-02-19 17:27:42.000,2023-03-15 13:59:58.000000,2023-03-15 13:59:58,4196.0,7.0,285,82.0,636.0,10.0,604.0,1121,PySAL: Python Spatial Analysis Library Meta-Package.,78.0,27,True,2023-01-31 04:15:19.000,23.01,32.0,pysal,conda-forge/pysal,,,,32.0,,https://pypi.org/project/pysal,2023-01-31 04:16:00.902,32.0,12605.0,18575.0,https://anaconda.org/conda-forge/pysal,2023-01-31 17:29:52.103,477621.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +430,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 21:48:16.000,2023-03-07 18:26:06.000000,2023-03-07 18:26:03,556.0,11.0,191,48.0,59.0,1.0,67.0,963,Training neural models with structured signals.,37.0,27,True,2022-07-29 21:05:16.715,1.4.0,8.0,neural-structured-learning,,,,['tensorflow'],313.0,310.0,https://pypi.org/project/neural-structured-learning,2022-07-29 21:05:16.715,3.0,20097.0,20097.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +431,mahotas,luispedro/mahotas,image,,https://github.com/luispedro/mahotas,https://github.com/luispedro/mahotas,MIT,2010-01-31 00:13:06.000,2023-02-26 14:18:50.000000,2023-02-26 14:18:50,1295.0,1.0,149,48.0,54.0,19.0,63.0,798,Computer Vision in Python.,33.0,27,True,2022-06-28 14:25:55.000,1.4.13,59.0,mahotas,conda-forge/mahotas,,,,1105.0,990.0,https://pypi.org/project/mahotas,2022-06-28 08:11:26.000,115.0,9838.0,14105.0,https://anaconda.org/conda-forge/mahotas,2022-11-05 05:53:35.833,358505.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +432,CLTK,cltk/cltk,nlp,,https://github.com/cltk/cltk,https://github.com/cltk/cltk,MIT,2014-01-11 23:59:47.000,2023-03-08 23:46:32.000000,2023-03-06 13:54:05,3661.0,2.0,312,67.0,669.0,30.0,513.0,769,The Classical Language Toolkit.,120.0,27,True,2022-10-13 00:35:24.094,1.1.6,202.0,cltk,,,,,268.0,226.0,https://pypi.org/project/cltk,2022-10-13 00:35:24.094,42.0,1948.0,1948.0,,,,,,,,2.0,25.0,,,,,,,,,,,,,,,,,,, +433,GeoViews,holoviz/geoviews,geospatial-data,,https://github.com/holoviz/geoviews,https://github.com/holoviz/geoviews,BSD-3-Clause,2016-04-19 16:27:01.000,2023-03-16 09:09:25.000000,2023-01-17 09:46:03,724.0,12.0,68,28.0,305.0,112.0,205.0,462,"Simple, concise geographical visualization in Python.",28.0,27,True,2023-01-17 10:38:11.000,1.9.6,42.0,geoviews,conda-forge/geoviews,,,,637.0,607.0,https://pypi.org/project/geoviews,2023-01-17 09:56:01.356,30.0,5450.0,8064.0,https://anaconda.org/conda-forge/geoviews,2023-01-17 14:38:14.806,156871.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +434,Orion,Epistimio/orion,hyperopt,,https://github.com/Epistimio/orion,https://github.com/Epistimio/orion,BSD-3-Clause,2017-09-07 06:05:21.000,2023-03-15 08:40:40.000000,2023-03-02 18:21:23,4002.0,101.0,48,16.0,692.0,215.0,198.0,257,Asynchronous Distributed Hyperparameter Optimization.,31.0,27,False,2023-03-02 22:26:01.035,0.2.7,26.0,orion,,,,,95.0,87.0,https://pypi.org/project/orion,2022-08-22 17:10:40.826,8.0,2026.0,2026.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +435,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,,1500,135.0,51.0,155.0,141.0,7322,A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!).,24.0,26,False,2021-04-15 15:17:23.000,0.7.1,13.0,efficientnet-pytorch,,,,['pytorch'],42.0,,https://pypi.org/project/efficientnet-pytorch,2021-04-15 15:17:23.000,42.0,97797.0,174008.0,,,,,,,,2.0,2743628.0,,,,,,,,,,,,,,,,,,, +436,nebullvm,nebuly-ai/nebullvm,model-serialisation,,https://github.com/nebuly-ai/nebullvm,https://github.com/nebuly-ai/nebullvm,Apache-2.0,2022-02-12 17:17:14.000,2023-03-16 11:20:01.000000,2023-03-15 07:02:08,518.0,395.0,485,84.0,119.0,78.0,78.0,6663,Plug and play modules to optimize the performances of your AI systems.,34.0,26,True,2023-01-23 23:03:00.588,0.8.0,23.0,nebullvm,,,,,9.0,8.0,https://pypi.org/project/nebullvm,2023-01-23 23:03:00.588,1.0,1017.0,1017.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +437,PyText,facebookresearch/pytext,nlp,,https://github.com/facebookresearch/pytext,https://github.com/facebookresearch/pytext,BSD-3-Clause,2018-07-31 23:40:46.000,2022-10-17 19:55:31.000000,2022-10-17 19:51:05,1735.0,,824,173.0,1588.0,145.0,74.0,6361,A natural language modeling framework based on PyTorch.,234.0,26,True,2020-06-08 23:30:58.000,0.3.3,13.0,pytext-nlp,,,,['pytorch'],115.0,114.0,https://pypi.org/project/pytext-nlp,2020-06-08 22:49:33.000,1.0,202.0,208.0,,,,,,,,3.0,319.0,,,,,,,,,,,,,,,,,,, +438,flashtext,vi3k6i5/flashtext,nlp,,https://github.com/vi3k6i5/flashtext,https://github.com/vi3k6i5/flashtext,MIT,2017-08-15 18:03:01.000,2021-07-26 20:38:52.000000,2020-05-03 07:13:22,108.0,,594,139.0,30.0,60.0,52.0,5373,Extract Keywords from sentence or Replace keywords in sentences.,7.0,26,False,,,18.0,flashtext,conda-forge/flashtext,,,,1143.0,1101.0,https://pypi.org/project/flashtext,2018-02-16 05:24:17.000,42.0,779421.0,779858.0,https://anaconda.org/conda-forge/flashtext,2020-07-16 16:37:59.996,14009.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +439,FATE,FederatedAI/FATE,privacy-ml,,https://github.com/FederatedAI/FATE,https://github.com/FederatedAI/FATE,Apache-2.0,2019-01-24 10:32:43.000,2023-03-16 02:01:09.000000,2023-01-04 02:42:28,11334.0,64.0,1450,142.0,3073.0,637.0,934.0,4901,An Industrial Grade Federated Learning Framework.,88.0,26,True,2022-12-29 10:38:05.000,1.10.0,41.0,ETAF,,,,,,,https://pypi.org/project/ETAF,2020-05-06 09:35:40.000,,13.0,13.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +440,Augmentor,mdbloice/Augmentor,image,,https://github.com/mdbloice/Augmentor,https://github.com/mdbloice/Augmentor,MIT,2016-03-01 18:29:55.000,2023-01-24 13:14:15.000000,2023-01-24 13:14:15,548.0,2.0,849,123.0,60.0,127.0,73.0,4876,Image augmentation library in Python for machine learning.,23.0,26,True,2022-04-27 09:29:23.000,0.2.10,22.0,Augmentor,,,,,594.0,565.0,https://pypi.org/project/Augmentor,2022-04-27 09:29:23.000,29.0,17035.0,17035.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +441,TensorTrade,tensortrade-org/tensortrade,financial-data,,https://github.com/tensortrade-org/tensortrade,https://github.com/tensortrade-org/tensortrade,Apache-2.0,2019-07-30 21:28:32.000,2023-01-11 07:30:37.000000,2022-08-23 22:54:23,1046.0,,982,240.0,214.0,51.0,196.0,4113,"An open source reinforcement learning framework for training, evaluating, and deploying robust trading agents.",61.0,26,True,2021-05-10 18:04:30.000,1.0.3,27.0,tensortrade,conda-forge/tensortrade,,,,43.0,42.0,https://pypi.org/project/tensortrade,2021-05-10 18:00:35.000,1.0,638.0,737.0,https://anaconda.org/conda-forge/tensortrade,2021-05-10 20:10:14.115,2285.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +442,causalml,uber/causalml,others,,https://github.com/uber/causalml,https://github.com/uber/causalml,Apache-2.0,2019-07-09 02:08:58.000,2023-03-16 06:30:07.000000,2023-03-16 06:29:57,495.0,2.0,611,78.0,252.0,84.0,236.0,3843,Uplift modeling and causal inference with machine learning algorithms.,49.0,26,True,2022-09-02 21:17:27.000,0.13.0,19.0,causalml,,,,,147.0,146.0,https://pypi.org/project/causalml,2022-03-14 23:38:27.000,1.0,49459.0,49459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +443,facenet-pytorch,timesler/facenet-pytorch,image,,https://github.com/timesler/facenet-pytorch,https://github.com/timesler/facenet-pytorch,MIT,2019-05-25 01:29:24.000,2022-07-20 00:52:45.000000,2021-12-13 12:07:11,235.0,,763,44.0,45.0,70.0,94.0,3357,Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models.,14.0,26,False,2021-03-10 01:00:20.000,2.5.2,31.0,facenet-pytorch,,,,['pytorch'],1050.0,1033.0,https://pypi.org/project/facenet-pytorch,2021-03-10 01:00:20.000,17.0,21870.0,36302.0,,,,,,,,3.0,577316.0,,,,,,,,,,,,,,,,,,, +444,Chartify,spotify/chartify,data-viz,,https://github.com/spotify/chartify,https://github.com/spotify/chartify,Apache-2.0,2018-09-17 14:12:05.000,2023-02-23 12:38:41.000000,2022-12-13 09:35:15,200.0,,298,89.0,77.0,45.0,31.0,3298,Python library that makes it easy for data scientists to create charts.,25.0,26,True,2022-12-13 09:39:32.472,3.0.5,18.0,chartify,conda-forge/chartify,,,,80.0,71.0,https://pypi.org/project/chartify,2022-12-13 09:39:32.472,9.0,3847.0,4321.0,https://anaconda.org/conda-forge/chartify,2020-11-07 19:52:50.628,24676.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +445,SHOGUN,shogun-toolbox/shogun,ml-frameworks,,https://github.com/shogun-toolbox/shogun,https://github.com/shogun-toolbox/shogun,BSD-3-Clause,2011-04-01 10:44:32.000,2022-01-18 22:03:55.000000,2020-12-08 16:56:38,17588.0,,1050,218.0,3648.0,429.0,1107.0,2935,Unified and efficient Machine Learning.,248.0,26,False,2019-07-05 10:23:31.000,shogun_6.1.4,10.0,,conda-forge/shogun,shogun/shogun,,,,,,,,,1809.0,https://anaconda.org/conda-forge/shogun,2018-06-25 20:49:17.070,122371.0,https://hub.docker.com/r/shogun/shogun,2019-01-31 13:45:10.435327,1.0,1494.0,3.0,,,,,,,,,shogun,,,,,,,,,,, +446,neuralcoref,huggingface/neuralcoref,nlp,,https://github.com/huggingface/neuralcoref,https://github.com/huggingface/neuralcoref,MIT,2017-07-03 13:04:16.000,2023-01-28 07:51:22.000000,2021-06-22 10:51:48,116.0,,455,98.0,48.0,54.0,253.0,2657,Fast Coreference Resolution in spaCy with Neural Networks.,21.0,26,False,2019-04-08 11:28:27.000,4.0.0,5.0,neuralcoref,conda-forge/neuralcoref,,,,625.0,602.0,https://pypi.org/project/neuralcoref,2019-04-08 09:56:00.000,23.0,3991.0,4362.0,https://anaconda.org/conda-forge/neuralcoref,2020-02-21 22:10:40.453,13451.0,,,,,3.0,606.0,,,,,,,,,,,,,,,,,,, +447,eli5,TeamHG-Memex/eli5,interpretability,,https://github.com/TeamHG-Memex/eli5,https://github.com/TeamHG-Memex/eli5,MIT,2016-09-15 01:04:57.000,2022-05-14 05:59:23.776000,2020-01-22 07:39:36,1198.0,,326,71.0,167.0,164.0,112.0,2654,A library for debugging/inspecting machine learning classifiers and explaining their predictions.,14.0,26,False,2022-05-11 09:37:12.000,0.13.0,30.0,eli5,conda-forge/eli5,,,,88.0,,https://pypi.org/project/eli5,2022-05-11 09:37:12.000,88.0,429801.0,431690.0,https://anaconda.org/conda-forge/eli5,2022-05-14 05:59:23.776,132283.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +448,Alphalens,quantopian/alphalens,financial-data,,https://github.com/quantopian/alphalens,https://github.com/quantopian/alphalens,Apache-2.0,2016-06-03 21:49:15.000,2022-10-08 06:32:32.000000,2020-04-27 18:40:41,522.0,,974,164.0,214.0,42.0,145.0,2575,Performance analysis of predictive (alpha) stock factors.,25.0,26,False,2020-04-30 15:42:52.000,0.4.0,10.0,alphalens,conda-forge/alphalens,,,,615.0,598.0,https://pypi.org/project/alphalens,2020-04-27 21:03:10.000,17.0,2992.0,3282.0,https://anaconda.org/conda-forge/alphalens,2020-05-16 13:52:44.922,17712.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +449,ffcv,libffcv/ffcv,image,,https://github.com/libffcv/ffcv,https://github.com/libffcv/ffcv,Apache-2.0,2021-10-13 17:03:39.000,2023-03-07 16:14:15.000000,2023-03-05 05:52:38,926.0,23.0,147,19.0,58.0,70.0,154.0,2405,FFCV: Fast Forward Computer Vision (and other ML workloads!).,26.0,26,True,2023-03-05 05:44:00.314,1.0.2,7.0,ffcv,,,,,16.0,16.0,https://pypi.org/project/ffcv,2022-01-28 20:40:22.000,,12383.0,12383.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +450,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,,707,165.0,94.0,134.0,358.0,2402,An Algorithmic Trading Library for Crypto-Assets in Python.,149.0,26,False,2018-11-11 16:46:28.000,0.5.21,52.0,enigma-catalyst,,,,,27.0,25.0,https://pypi.org/project/enigma-catalyst,2018-11-11 16:46:28.000,2.0,358.0,358.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +451,efficientnet,qubvel/efficientnet,tensorflow-utils,,https://github.com/qubvel/efficientnet,https://github.com/qubvel/efficientnet,Apache-2.0,2019-05-30 20:21:09.000,2023-03-16 12:54:55.391000,2021-07-16 09:03:20,66.0,,460,36.0,41.0,63.0,58.0,2010,Implementation of EfficientNet model. Keras and TensorFlow Keras.,10.0,26,False,2020-09-15 16:26:00.000,1.1.1,9.0,efficientnet,anaconda/efficientnet,,,['tensorflow'],1430.0,1416.0,https://pypi.org/project/efficientnet,2020-09-15 16:26:00.000,14.0,53534.0,58908.0,https://anaconda.org/anaconda/efficientnet,2023-03-16 12:54:55.391,271.0,,,,,3.0,246804.0,,,,,,,,,,,,,,,,,,, +452,PyTextRank,DerwenAI/pytextrank,nlp,,https://github.com/DerwenAI/pytextrank,https://github.com/DerwenAI/pytextrank,MIT,2016-10-02 18:39:12.000,2023-03-01 20:22:42.000000,2022-07-27 21:58:40,452.0,,334,61.0,137.0,21.0,72.0,1975,Python implementation of TextRank algorithms (textgraphs) for phrase extraction.,18.0,26,True,2022-07-27 22:05:13.454,3.2.4,20.0,pytextrank,,,,,378.0,362.0,https://pypi.org/project/pytextrank,2022-07-27 22:05:13.454,16.0,54782.0,54782.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +453,mtcnn,ipazc/mtcnn,image,,https://github.com/ipazc/mtcnn,https://github.com/ipazc/mtcnn,MIT,2018-01-05 04:08:32.000,2022-06-07 08:07:35.000000,2021-07-09 11:06:18,56.0,,480,41.0,22.0,66.0,38.0,1945,"MTCNN face detection implementation for TensorFlow, as a PIP package.",15.0,26,False,2021-07-09 11:16:39.000,0.1.1,11.0,mtcnn,conda-forge/mtcnn,,,['tensorflow'],3224.0,3175.0,https://pypi.org/project/mtcnn,2021-07-09 11:16:39.000,49.0,97486.0,97703.0,https://anaconda.org/conda-forge/mtcnn,2021-08-17 17:36:21.436,8045.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +454,modAL,modAL-python/modAL,others,,https://github.com/modAL-python/modAL,https://github.com/modAL-python/modAL,MIT,2017-11-14 14:01:15.000,2023-01-30 14:23:25.000000,2021-01-07 09:40:40,648.0,,284,40.0,35.0,78.0,54.0,1920,A modular active learning framework for Python.,14.0,26,False,2021-01-07 09:47:49.000,0.4.1,12.0,modAL,,,,['sklearn'],195.0,187.0,https://pypi.org/project/modAL,2021-01-07 09:47:49.000,8.0,9290.0,9290.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +455,lazypredict,shankarpandala/lazypredict,hyperopt,,https://github.com/shankarpandala/lazypredict,https://github.com/shankarpandala/lazypredict,MIT,2019-11-16 09:56:35.000,2023-03-14 17:59:54.000000,2022-09-28 17:12:28,249.0,,215,25.0,315.0,62.0,37.0,1915,Lazy Predict help build a lot of basic models without much code and helps understand which models works better without..,18.0,26,True,2022-09-28 08:51:19.531,0.2.12,12.0,lazypredict,conda-forge/lazypredict,,,['sklearn'],462.0,461.0,https://pypi.org/project/lazypredict,2022-09-28 08:51:19.531,1.0,23777.0,23860.0,https://anaconda.org/conda-forge/lazypredict,2022-09-29 02:32:55.756,1590.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +456,Orbit,uber/orbit,probabilistics,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-01-29 22:06:26.764000,2023-01-29 22:01:19,871.0,27.0,121,33.0,406.0,56.0,325.0,1610,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,26,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,,,,,20.0,19.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,146669.0,146669.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +457,uber/orbit,uber/orbit,time-series-data,,https://github.com/uber/orbit,https://github.com/uber/orbit,Apache-2.0,2020-01-07 18:20:37.000,2023-01-31 19:22:32.740000,2023-01-29 22:01:19,871.0,27.0,121,33.0,406.0,56.0,325.0,1610,A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.,18.0,26,True,2023-01-29 22:05:17.000,1.1.4.2,23.0,orbit-ml,conda-forge/orbit-ml,,,,20.0,19.0,https://pypi.org/project/orbit-ml,2023-01-29 22:06:26.764,1.0,146669.0,146854.0,https://anaconda.org/conda-forge/orbit-ml,2023-01-31 19:22:32.740,2596.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +458,petastorm,uber/petastorm,distributed-ml,,https://github.com/uber/petastorm,https://github.com/uber/petastorm,Apache-2.0,2018-06-15 23:15:29.000,2023-02-28 12:35:26.000000,2023-02-03 00:10:35,690.0,2.0,267,43.0,492.0,168.0,148.0,1594,Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets..,48.0,26,True,2022-12-16 20:54:02.878,0.12.1,86.0,petastorm,,,,,118.0,109.0,https://pypi.org/project/petastorm,2023-02-03 00:33:00.499,9.0,39929.0,39935.0,,,,,,,,3.0,355.0,,,,,,,,,,,,,,,,,,, +459,Paddle Graph Learning,PaddlePaddle/PGL,graph,,https://github.com/PaddlePaddle/PGL,https://github.com/PaddlePaddle/PGL,Apache-2.0,2019-06-11 03:23:28.000,2023-03-09 09:02:24.000000,2023-03-09 09:02:24,1336.0,35.0,295,28.0,352.0,77.0,114.0,1482,Paddle Graph Learning (PGL) is an efficient and flexible graph learning framework based on PaddlePaddle.,29.0,26,True,2023-03-03 02:41:24.000,2.2.4post,19.0,pgl,,,,['paddle'],40.0,38.0,https://pypi.org/project/pgl,2022-08-03 07:40:41.441,2.0,2638.0,2638.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +460,pyts,johannfaouzi/pyts,time-series-data,,https://github.com/johannfaouzi/pyts,https://github.com/johannfaouzi/pyts,BSD-3-Clause,2017-07-31 09:23:16.000,2023-02-07 16:54:22.000000,2023-02-07 16:54:18,386.0,2.0,152,25.0,75.0,40.0,32.0,1451,A Python package for time series classification.,13.0,26,True,2021-10-31 13:51:09.000,0.12.0,18.0,pyts,conda-forge/pyts,,,,360.0,341.0,https://pypi.org/project/pyts,2021-10-31 13:51:09.000,19.0,96988.0,97389.0,https://anaconda.org/conda-forge/pyts,2021-10-31 15:13:32.850,17250.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +461,ffn,pmorissette/ffn,financial-data,,https://github.com/pmorissette/ffn,https://github.com/pmorissette/ffn,MIT,2014-06-19 15:54:09.000,2022-12-21 15:54:25.000000,2022-12-21 15:54:25,397.0,2.0,241,59.0,81.0,20.0,91.0,1446,ffn - a financial function library for Python.,29.0,26,True,2021-04-21 02:47:21.000,0.3.6,27.0,ffn,conda-forge/ffn,,,,309.0,284.0,https://pypi.org/project/ffn,2021-04-21 02:47:21.000,25.0,142328.0,142447.0,https://anaconda.org/conda-forge/ffn,2021-04-22 14:02:56.125,2752.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +462,Hivemind,learning-at-home/hivemind,distributed-ml,,https://github.com/learning-at-home/hivemind,https://github.com/learning-at-home/hivemind,MIT,2020-02-27 13:50:19.000,2023-03-16 12:35:06.000000,2023-03-11 22:42:15,549.0,14.0,88,47.0,416.0,51.0,97.0,1394,Decentralized deep learning in PyTorch. Built to train models on thousands of volunteers across the world.,28.0,26,True,2023-02-15 12:01:00.660,1.1.6,23.0,hivemind,,,,,59.0,55.0,https://pypi.org/project/hivemind,2023-01-07 15:04:26.425,4.0,6549.0,6549.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +463,metric-learn,scikit-learn-contrib/metric-learn,others,,https://github.com/scikit-learn-contrib/metric-learn,https://github.com/scikit-learn-contrib/metric-learn,MIT,2013-11-02 08:29:47.000,2022-08-19 13:16:19.000000,2022-06-21 11:53:05,286.0,,233,49.0,183.0,53.0,119.0,1311,Metric learning algorithms in Python.,22.0,26,True,2020-07-02 12:59:23.000,0.6.2,10.0,metric-learn,conda-forge/metric-learn,,,['sklearn'],273.0,261.0,https://pypi.org/project/metric-learn,2020-07-02 12:59:23.000,12.0,32282.0,32518.0,https://anaconda.org/conda-forge/metric-learn,2020-07-02 13:51:25.681,8525.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +464,AutoViz,AutoViML/AutoViz,data-viz,,https://github.com/AutoViML/AutoViz,https://github.com/AutoViML/AutoViz,Apache-2.0,2019-07-17 17:14:06.000,2022-12-30 17:11:56.000000,2022-12-30 17:11:25,153.0,1.0,163,31.0,16.0,4.0,63.0,1260,"Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators..",14.0,26,True,2022-10-03 01:43:19.267,0.1.58,65.0,autoviz,conda-forge/autoviz,,,,379.0,372.0,https://pypi.org/project/autoviz,2022-10-03 01:43:19.267,7.0,268141.0,269639.0,https://anaconda.org/conda-forge/autoviz,2022-10-03 14:11:33.149,28471.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +465,cuGraph,rapidsai/cugraph,gpu-utilities,,https://github.com/rapidsai/cugraph,https://github.com/rapidsai/cugraph,Apache-2.0,2018-11-15 18:07:11.000,2023-03-16 14:49:28.000000,2023-03-16 14:49:23,5799.0,120.0,233,46.0,2017.0,292.0,1056.0,1228,cuGraph - RAPIDS Graph Analytics Library.,94.0,26,True,2023-02-09 21:21:10.000,23.02.00,25.0,cugraph,conda-forge/libcugraph,,,,4.0,2.0,https://pypi.org/project/cugraph,2020-06-01 20:09:06.000,2.0,175.0,731.0,https://anaconda.org/conda-forge/libcugraph,2021-04-29 03:53:20.856,12808.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +466,torchsde,google-research/torchsde,pytorch-utils,,https://github.com/google-research/torchsde,https://github.com/google-research/torchsde,Apache-2.0,2020-07-06 23:13:11.000,2021-07-26 13:59:41.000000,2021-07-26 13:59:38,157.0,,144,35.0,66.0,13.0,46.0,1225,Differentiable SDE solvers with GPU support and efficient sensitivity analysis.,5.0,26,False,2021-07-20 07:09:56.000,0.2.5,4.0,torchsde,conda-forge/torchsde,,,['pytorch'],369.0,366.0,https://pypi.org/project/torchsde,2021-07-20 07:09:56.000,3.0,1474265.0,1474848.0,https://anaconda.org/conda-forge/torchsde,2021-07-12 23:43:34.083,15179.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +467,torch-scatter,rusty1s/pytorch_scatter,pytorch-utils,,https://github.com/rusty1s/pytorch_scatter,https://github.com/rusty1s/pytorch_scatter,MIT,2017-12-16 16:34:23.000,2023-03-16 14:35:44.000000,2023-03-16 13:31:17,1023.0,2.0,149,16.0,57.0,18.0,284.0,1223,PyTorch Extension Library of Optimized Scatter Operations.,25.0,26,True,2023-03-16 14:37:01.000,2.1.1,31.0,torch-scatter,conda-forge/pytorch_scatter,,,['pytorch'],63.0,,https://pypi.org/project/torch-scatter,2022-11-24 15:04:00.671,63.0,46603.0,51318.0,https://anaconda.org/conda-forge/pytorch_scatter,2023-01-02 21:44:24.351,155614.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +468,fancyimpute,iskandr/fancyimpute,sklearn-utils,,https://github.com/iskandr/fancyimpute,https://github.com/iskandr/fancyimpute,Apache-2.0,2015-11-05 23:39:34.000,2021-10-21 17:50:40.000000,2021-10-21 17:45:17,202.0,,169,24.0,35.0,3.0,111.0,1144,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'],1357.0,1328.0,https://pypi.org/project/fancyimpute,2021-10-21 17:50:40.000,29.0,14278.0,14278.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +469,iNNvestigate,albermax/innvestigate,interpretability,,https://github.com/albermax/innvestigate,https://github.com/albermax/innvestigate,BSD-2-Clause,2017-12-13 18:11:20.000,2023-02-28 14:34:22.000000,2023-01-31 17:24:37,1093.0,17.0,234,39.0,62.0,52.0,201.0,1104,A toolbox to iNNvestigate neural networks predictions!.,19.0,26,True,2023-01-31 17:36:00.641,2.0.2,5.0,innvestigate,,,,['tensorflow'],96.0,94.0,https://pypi.org/project/innvestigate,2023-01-31 17:36:00.641,2.0,705.0,712.0,,,,,,,,3.0,52.0,,,,,,,,,,,,,,,,,,, +470,imodels,csinva/imodels,interpretability,,https://github.com/csinva/imodels,https://github.com/csinva/imodels,MIT,2019-07-04 15:38:48.000,2023-03-14 04:27:46.000000,2023-03-12 22:49:42,749.0,53.0,98,24.0,104.0,22.0,41.0,1067,"Interpretable ML package for concise, transparent, and accurate predictive modeling (sklearn-compatible).",16.0,26,True,2023-03-12 22:51:16.000,1.3.17,41.0,imodels,,,,,44.0,40.0,https://pypi.org/project/imodels,2022-07-03 02:47:15.000,4.0,34089.0,34089.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +471,pyclustering,annoviko/pyclustering,others,,https://github.com/annoviko/pyclustering,https://github.com/annoviko/pyclustering,BSD-3-Clause,2014-02-25 18:59:03.000,2022-11-21 17:15:03.000000,2021-02-12 19:04:59,2079.0,,236,39.0,35.0,65.0,590.0,1051,"pyclustering is a Python, C++ data mining library.",26.0,26,False,2020-11-25 22:33:07.000,0.10.1.2,46.0,pyclustering,conda-forge/pyclustering,,,,484.0,456.0,https://pypi.org/project/pyclustering,2020-11-25 22:41:20.000,28.0,33356.0,34643.0,https://anaconda.org/conda-forge/pyclustering,2021-09-13 14:29:08.300,50015.0,,,,,3.0,438.0,,,,,,,,,,,,,,,,,,, +472,PySwarms,ljvmiranda921/pyswarms,others,,https://github.com/ljvmiranda921/pyswarms,https://github.com/ljvmiranda921/pyswarms,MIT,2017-07-12 12:04:45.000,2023-03-01 01:21:38.000000,2022-07-03 12:07:58,412.0,,311,36.0,295.0,18.0,198.0,1047,A research toolkit for particle swarm optimization in Python.,44.0,26,True,2021-01-03 21:34:15.000,1.3.0,20.0,pyswarms,,,,,247.0,236.0,https://pypi.org/project/pyswarms,2021-01-03 21:34:15.000,11.0,7408.0,7408.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +473,empyrical,quantopian/empyrical,financial-data,,https://github.com/quantopian/empyrical,https://github.com/quantopian/empyrical,Apache-2.0,2016-03-18 10:22:52.000,2020-10-14 13:28:13.625000,2020-10-14 13:22:39,167.0,,336,72.0,83.0,27.0,26.0,1035,Common financial risk and performance metrics. Used by zipline and pyfolio.,22.0,26,False,2020-10-13 21:29:19.000,0.5.5,21.0,empyrical,conda-forge/empyrical,,,,1210.0,1072.0,https://pypi.org/project/empyrical,2020-10-13 21:29:19.000,138.0,24392.0,24738.0,https://anaconda.org/conda-forge/empyrical,2020-10-14 13:28:13.625,21115.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +474,Geomstats,geomstats/geomstats,ml-frameworks,,https://github.com/geomstats/geomstats,https://github.com/geomstats/geomstats,MIT,2017-10-25 00:44:57.000,2023-03-13 09:08:17.000000,2023-03-13 09:08:17,9596.0,164.0,207,35.0,1339.0,233.0,310.0,910,Computations and statistics on manifolds with geometric structures.,76.0,26,True,2022-04-22 22:08:06.000,2.5.0,30.0,geomstats,conda-forge/geomstats,,https://geomstats.github.io/,,2.0,,https://pypi.org/project/geomstats,2022-04-22 18:02:54.000,2.0,1360.0,1475.0,https://anaconda.org/conda-forge/geomstats,2022-06-01 11:18:18.061,1043.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +475,bambi,bambinos/bambi,probabilistics,,https://github.com/bambinos/bambi,https://github.com/bambinos/bambi,MIT,2016-05-16 03:21:00.000,2023-03-14 20:59:25.000000,2023-03-01 14:30:22,725.0,19.0,97,29.0,325.0,64.0,260.0,882,BAyesian Model-Building Interface (Bambi) in Python.,28.0,26,True,2023-02-10 02:11:00.867,0.10.0,25.0,bambi,conda-forge/bambi,,,,63.0,59.0,https://pypi.org/project/bambi,2022-12-21 12:51:10.967,4.0,4347.0,4777.0,https://anaconda.org/conda-forge/bambi,2023-02-10 13:49:00.553,18525.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +476,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 18:04:41,515.0,1.0,246,42.0,72.0,103.0,188.0,859,Gaussian Process Optimization using GPy.,49.0,26,True,2020-03-19 21:21:18.000,1.2.6,11.0,gpyopt,,,,,441.0,409.0,https://pypi.org/project/gpyopt,2020-03-19 11:37:45.000,32.0,37080.0,37080.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +477,lets-plot,JetBrains/lets-plot,data-viz,,https://github.com/JetBrains/lets-plot,https://github.com/JetBrains/lets-plot,MIT,2019-03-20 16:13:03.000,2023-03-15 18:18:29.000000,2023-03-15 18:18:26,3110.0,184.0,43,139.0,371.0,78.0,257.0,849,An open-source plotting library for statistical data.,18.0,26,True,2023-03-07 19:16:33.000,3.1.0,59.0,lets-plot,,,,,25.0,24.0,https://pypi.org/project/lets-plot,2022-12-15 12:42:00.536,1.0,5216.0,5226.0,,,,,,,,3.0,401.0,,,,,,,,,,,,,,,,,,, +478,pyRiemann,pyRiemann/pyRiemann,medical-data,,https://github.com/pyRiemann/pyRiemann,https://github.com/pyRiemann/pyRiemann,BSD-3-Clause,2015-04-19 16:01:44.000,2023-03-13 22:22:45.000000,2023-03-13 22:22:45,484.0,28.0,140,30.0,145.0,7.0,86.0,472,Machine learning for multivariate data analysis through the Riemannian geometry of symmetric or Hermitian positive..,25.0,26,True,2023-02-15 09:30:13.000,0.4,10.0,pyriemann,,,https://pyriemann.readthedocs.io/en/latest/,,246.0,231.0,https://pypi.org/project/pyriemann,2022-07-17 13:53:18.565,15.0,37015.0,37015.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +479,quinn,MrPowers/quinn,ml-experiments,,https://github.com/MrPowers/quinn,https://github.com/MrPowers/quinn,Apache-2.0,2017-09-15 13:02:42.000,2023-03-14 11:20:10.000000,2023-03-14 11:19:03,124.0,14.0,59,21.0,36.0,27.0,21.0,432,pyspark methods to enhance developer productivity.,10.0,26,True,2023-02-17 21:55:30.000,0.10.0,13.0,quinn,,,,['spark'],59.0,53.0,https://pypi.org/project/quinn,2023-02-17 21:54:00.812,6.0,674836.0,674836.0,,,,,,,,3.0,4.0,,2.0,,,,,,,,,,,,,,,,, +480,EarthPy,earthlab/earthpy,geospatial-data,,https://github.com/earthlab/earthpy,https://github.com/earthlab/earthpy,BSD-3-Clause,2018-02-20 03:02:42.000,2023-03-12 21:53:50.000000,2021-12-20 23:24:01,1186.0,,145,21.0,622.0,23.0,207.0,424,A package built to support working with spatial data using open source python.,43.0,26,False,2021-10-01 22:51:04.000,0.9.4,23.0,earthpy,conda-forge/earthpy,,,,216.0,209.0,https://pypi.org/project/earthpy,2021-10-01 22:51:04.000,7.0,5778.0,7040.0,https://anaconda.org/conda-forge/earthpy,2021-10-04 19:35:49.510,59327.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +481,sklearn-crfsuite,TeamHG-Memex/sklearn-crfsuite,sklearn-utils,,https://github.com/TeamHG-Memex/sklearn-crfsuite,https://github.com/TeamHG-Memex/sklearn-crfsuite,MIT,2015-11-26 21:15:41.000,2022-06-30 18:26:21.000000,2019-12-05 08:17:22,46.0,,206,23.0,16.0,45.0,23.0,418,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'],6851.0,6580.0,https://pypi.org/project/sklearn-crfsuite,2017-06-22 18:49:27.000,271.0,191502.0,192542.0,https://anaconda.org/conda-forge/sklearn-crfsuite,2020-04-03 10:45:56.342,36419.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +482,PyStan,stan-dev/pystan,probabilistics,,https://github.com/stan-dev/pystan,https://github.com/stan-dev/pystan,ISC,2017-03-06 19:56:42.094,2022-11-28 16:27:26.935000,2022-11-26 14:10:40,215.0,,46,14.0,192.0,8.0,179.0,247,"PyStan, a Python interface to Stan, a platform for statistical modeling. Documentation: https://pystan.readthedocs.io.",11.0,26,False,2022-11-26 14:15:01.276,3.6.0,68.0,pystan,conda-forge/pystan,,,,256.0,,https://pypi.org/project/pystan,2022-11-26 14:15:01.276,256.0,2198519.0,2226881.0,https://anaconda.org/conda-forge/pystan,2022-11-28 16:27:26.935,2042109.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +483,prettymaps,marceloprates/prettymaps,geospatial-data,,https://github.com/marceloprates/prettymaps,https://github.com/marceloprates/prettymaps,AGPL-3.0,2021-03-05 12:22:05.000,2023-02-18 18:16:34.802000,2023-02-15 20:15:59,196.0,17.0,446,73.0,35.0,48.0,26.0,9226,"A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely..",15.0,25,False,2023-02-15 20:19:00.626,1.0.0,12.0,prettymaps,conda-forge/prettymaps,,,,14.0,14.0,https://pypi.org/project/prettymaps,2021-10-19 13:33:43.000,,1291.0,1374.0,https://anaconda.org/conda-forge/prettymaps,2023-02-18 18:16:34.802,1171.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +484,Trax,google/trax,others,,https://github.com/google/trax,https://github.com/google/trax,Apache-2.0,2019-10-05 15:09:14.000,2023-02-15 22:45:56.000000,2023-02-15 22:45:51,1613.0,2.0,768,146.0,1551.0,106.0,124.0,7404,Trax Deep Learning with Clear Code and Speed.,78.0,25,True,2021-10-26 20:29:38.000,1.4.1,24.0,trax,,,,,102.0,101.0,https://pypi.org/project/trax,2021-10-26 20:27:35.000,1.0,6811.0,6811.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +485,mmdnn,Microsoft/MMdnn,model-serialisation,,https://github.com/microsoft/MMdnn,https://github.com/microsoft/MMdnn,MIT,2017-08-16 08:03:52.000,2022-09-22 23:59:19.000000,2022-09-22 23:59:07,1084.0,,974,186.0,325.0,334.0,289.0,5690,MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion..,86.0,25,True,2020-07-24 06:34:39.000,0.3.1,12.0,mmdnn,,,,,107.0,104.0,https://pypi.org/project/mmdnn,2020-07-24 06:34:39.000,3.0,445.0,501.0,,,,,,,,3.0,3619.0,,,,,,,,,,,,,,,,,,, +486,MMF,facebookresearch/mmf,image,,https://github.com/facebookresearch/mmf,https://github.com/facebookresearch/mmf,BSD-3-Clause,2018-06-27 04:52:40.000,2023-03-15 10:29:04.000000,2023-02-02 10:46:34,1079.0,17.0,881,117.0,660.0,238.0,486.0,5163,A modular framework for vision & language multimodal research from Facebook AI Research (FAIR).,109.0,25,True,2019-08-26 19:04:21.000,0.3.1,12.0,mmf,,,,['pytorch'],15.0,14.0,https://pypi.org/project/mmf,2020-06-12 22:15:02.000,1.0,317.0,317.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +487,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,,749,138.0,43.0,141.0,98.0,4876,Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines..,19.0,25,False,2020-02-03 01:07:00.000,2.0.0,14.0,textgenrnn,,,,['tensorflow'],1071.0,1056.0,https://pypi.org/project/textgenrnn,2020-02-02 21:16:15.000,15.0,3037.0,3050.0,,,,,,,,3.0,818.0,,,,,,,,,,,,,,,,,,, +488,DALI,NVIDIA/DALI,gpu-utilities,,https://github.com/NVIDIA/DALI,https://github.com/NVIDIA/DALI,Apache-2.0,2018-06-01 22:18:01.000,2023-03-16 13:31:59.000000,2023-03-16 13:31:59,3040.0,126.0,557,88.0,3357.0,259.0,1133.0,4274,A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to..,81.0,25,True,2023-02-24 15:33:46.000,1.23.0,63.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +489,PyAlgoTrade,gbeced/pyalgotrade,financial-data,,https://github.com/gbeced/pyalgotrade,https://github.com/gbeced/pyalgotrade,Apache-2.0,2012-03-07 01:09:54.000,2023-03-05 22:07:59.000000,2023-03-05 22:07:59,1158.0,2.0,1333,350.0,56.0,52.0,84.0,3929,Python Algorithmic Trading Library.,11.0,25,True,,,8.0,pyalgotrade,,,,,143.0,122.0,https://pypi.org/project/pyalgotrade,2018-08-21 01:48:25.000,21.0,1170.0,1170.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +490,Alpha Vantage,RomelTorres/alpha_vantage,financial-data,,https://github.com/RomelTorres/alpha_vantage,https://github.com/RomelTorres/alpha_vantage,MIT,2017-04-29 17:23:00.000,2022-12-25 20:03:53.000000,2022-12-25 20:03:53,522.0,2.0,662,174.0,78.0,8.0,260.0,3859,A python wrapper for Alpha Vantage API for financial data.,42.0,25,True,2020-12-21 02:37:29.000,2.3.1,34.0,alpha_vantage,conda-forge/alpha_vantage,,,,25.0,,https://pypi.org/project/alpha_vantage,2020-12-21 02:36:15.000,25.0,21507.0,21616.0,https://anaconda.org/conda-forge/alpha_vantage,2021-01-14 18:10:30.064,2850.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +491,Snips NLU,snipsco/snips-nlu,nlp,,https://github.com/snipsco/snips-nlu,https://github.com/snipsco/snips-nlu,Apache-2.0,2017-02-08 16:16:36.000,2021-11-17 15:23:01.000000,2021-05-03 12:18:31,2154.0,,511,137.0,648.0,62.0,197.0,3767,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,,,,,12.0,,https://pypi.org/project/snips-nlu,2020-01-15 10:13:17.000,12.0,3324.0,3324.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +492,xLearn,aksnzhy/xlearn,ml-frameworks,,https://github.com/aksnzhy/xlearn,https://github.com/aksnzhy/xlearn,Apache-2.0,2017-06-10 08:09:31.000,2022-08-23 09:45:09.000000,2022-06-05 10:44:18,1342.0,,528,108.0,71.0,193.0,114.0,3039,"High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization..",30.0,25,True,2019-04-25 02:10:05.000,0.4.4,15.0,xlearn,,,,,130.0,118.0,https://pypi.org/project/xlearn,2018-12-04 11:05:06.000,12.0,2990.0,3052.0,,,,,,,,3.0,3775.0,,,,,,,,,,,,,,,,,,, +493,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,,669,72.0,25.0,117.0,101.0,2949,Neural network visualization toolkit for keras.,10.0,25,False,2017-07-06 04:55:04.000,0.4.1,11.0,keras-vis,,,,['tensorflow'],2537.0,2508.0,https://pypi.org/project/keras-vis,2017-07-06 04:55:04.000,29.0,3156.0,3156.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +494,PandasGUI,adamerose/pandasgui,data-viz,,https://github.com/adamerose/PandasGUI,https://github.com/adamerose/PandasGUI,MIT-0,2019-06-12 02:19:42.000,2023-02-11 20:02:33.000000,2022-03-16 17:52:29,715.0,,199,54.0,31.0,56.0,119.0,2872,A GUI for Pandas DataFrames.,13.0,25,False,2023-02-11 20:04:00.783,0.2.14,44.0,pandasgui,conda-forge/pandasgui,,,['pandas'],239.0,233.0,https://pypi.org/project/pandasgui,2021-08-14 09:14:51.000,6.0,5126.0,5759.0,https://anaconda.org/conda-forge/pandasgui,2021-02-13 06:39:51.463,16473.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +495,knockknock,huggingface/knockknock,ml-experiments,,https://github.com/huggingface/knockknock,https://github.com/huggingface/knockknock,MIT,2019-03-20 13:08:55.000,2023-02-28 13:25:11.000000,2020-03-16 04:26:47,75.0,,212,62.0,41.0,16.0,23.0,2569,Knock Knock: Get notified when your training ends with only two additional lines of code.,18.0,25,False,2020-03-04 04:15:47.000,0.1.8,10.0,knockknock,conda-forge/knockknock,,,,547.0,544.0,https://pypi.org/project/knockknock,2020-03-16 14:30:23.000,3.0,31700.0,31988.0,https://anaconda.org/conda-forge/knockknock,2020-03-17 01:52:16.317,11844.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +496,m2cgen,BayesWitnesses/m2cgen,model-serialisation,,https://github.com/BayesWitnesses/m2cgen,https://github.com/BayesWitnesses/m2cgen,MIT,2019-01-13 02:32:55.000,2023-03-06 02:57:05.000000,2022-10-05 16:26:03,376.0,,201,46.0,479.0,30.0,70.0,2415,"Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart,..",14.0,25,True,2022-04-26 01:24:34.000,0.10.0,13.0,m2cgen,,,,,92.0,89.0,https://pypi.org/project/m2cgen,2022-04-26 01:24:34.000,3.0,14608.0,14608.0,,,,,,,,3.0,43.0,,,,,,,,,,,,,,,,,,, +497,checklist,marcotcr/checklist,interpretability,,https://github.com/marcotcr/checklist,https://github.com/marcotcr/checklist,MIT,2020-03-09 17:18:49.000,2023-03-04 16:25:52.000000,2022-08-12 15:43:09,249.0,,181,29.0,57.0,24.0,81.0,1852,Beyond Accuracy: Behavioral Testing of NLP models with CheckList.,13.0,25,True,2021-05-24 16:45:59.000,0.0.11,10.0,checklist,conda-forge/checklist,,,['jupyter'],215.0,209.0,https://pypi.org/project/checklist,2021-05-24 16:45:59.000,6.0,4957.0,5152.0,https://anaconda.org/conda-forge/checklist,2021-07-15 13:35:51.684,5083.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +498,pygraphistry,graphistry/pygraphistry,graph,,https://github.com/graphistry/pygraphistry,https://github.com/graphistry/pygraphistry,BSD-3-Clause,2015-06-02 20:28:42.000,2023-03-16 09:40:45.000000,2022-12-23 05:41:55,899.0,2.0,188,50.0,199.0,129.0,134.0,1816,"PyGraphistry is a Python library to quickly load, shape, embed, and explore big graphs with the GPU-accelerated..",31.0,25,True,2022-12-23 05:51:01.176,0.28.7,154.0,graphistry,,,,['jupyter'],90.0,85.0,https://pypi.org/project/graphistry,2022-12-23 05:51:01.176,5.0,2063.0,2063.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +499,HyperTools,ContextLab/hypertools,data-viz,,https://github.com/ContextLab/hypertools,https://github.com/ContextLab/hypertools,MIT,2016-09-27 21:31:25.000,2022-02-12 03:29:55.000000,2022-02-12 02:32:06,1636.0,,160,60.0,65.0,65.0,129.0,1768,A Python toolbox for gaining geometric insights into high-dimensional data.,21.0,25,False,2022-02-12 03:29:55.000,0.8.0,21.0,hypertools,,,,,261.0,251.0,https://pypi.org/project/hypertools,2022-02-12 02:43:24.000,10.0,818.0,818.0,,,,,,,,3.0,27.0,,,,,,,,,,,,,,,,,,, +500,garage,rlworkgroup/garage,reinforcement-learning,,https://github.com/rlworkgroup/garage,https://github.com/rlworkgroup/garage,MIT,2018-06-10 21:31:23.000,2023-02-22 15:28:04.000000,2023-01-04 06:06:27,1221.0,1.0,276,55.0,1312.0,229.0,807.0,1644,A toolkit for reproducible reinforcement learning research.,79.0,25,True,2021-03-23 22:18:36.000,2021.3.0,21.0,garage,,,,['tensorflow'],67.0,65.0,https://pypi.org/project/garage,2021-03-23 22:18:36.000,2.0,698.0,698.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +501,sense2vec,explosion/sense2vec,nlp,,https://github.com/explosion/sense2vec,https://github.com/explosion/sense2vec,MIT,2016-01-23 22:15:49.000,2022-12-08 12:22:00.117000,2022-12-08 09:17:58,456.0,,235,49.0,44.0,20.0,90.0,1478,Contextually-keyed word vectors.,18.0,25,True,2022-12-08 13:16:53.000,2.0.1,23.0,sense2vec,conda-forge/sense2vec,,,,249.0,238.0,https://pypi.org/project/sense2vec,2022-12-08 12:22:00.117,11.0,4038.0,5608.0,https://anaconda.org/conda-forge/sense2vec,2021-07-14 13:20:19.752,31109.0,,,,,3.0,48981.0,,,,,,,,,,,,,,,,,,, +502,Mesh,tensorflow/mesh,distributed-ml,,https://github.com/tensorflow/mesh,https://github.com/tensorflow/mesh,Apache-2.0,2018-09-20 20:23:34.000,2023-03-13 19:51:24.000000,2023-01-25 23:36:03,656.0,1.0,232,46.0,310.0,95.0,14.0,1379,Mesh TensorFlow: Model Parallelism Made Easier.,49.0,25,True,2022-05-15 21:06:13.000,0.1.21,27.0,mesh-tensorflow,,,,['tensorflow'],817.0,785.0,https://pypi.org/project/mesh-tensorflow,2022-05-15 21:06:13.000,32.0,36755.0,36755.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +503,gplearn,trevorstephens/gplearn,others,,https://github.com/trevorstephens/gplearn,https://github.com/trevorstephens/gplearn,BSD-3-Clause,2015-03-26 01:01:14.000,2022-08-04 10:28:06.000000,2022-08-04 10:15:01,159.0,,226,50.0,84.0,19.0,185.0,1293,"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'],360.0,347.0,https://pypi.org/project/gplearn,2022-05-03 10:47:30.000,13.0,5715.0,5852.0,https://anaconda.org/conda-forge/gplearn,2022-05-04 12:26:24.517,4527.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +504,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,,140,28.0,63.0,6.0,70.0,1237,"Live training loss plot in Jupyter Notebook for Keras, PyTorch and others.",17.0,25,True,2022-04-04 16:14:08.000,0.5.5,25.0,livelossplot,,,,['jupyter'],982.0,971.0,https://pypi.org/project/livelossplot,2022-04-04 16:14:08.000,11.0,15390.0,15390.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +505,CrypTen,facebookresearch/CrypTen,privacy-ml,,https://github.com/facebookresearch/CrypTen,https://github.com/facebookresearch/CrypTen,MIT,2019-08-15 00:00:31.000,2023-03-07 11:52:10.000000,2022-12-08 21:27:29,336.0,,215,39.0,248.0,44.0,173.0,1236,A framework for Privacy Preserving Machine Learning.,31.0,25,True,2022-12-08 22:11:59.883,0.4.1,3.0,crypten,,,,['pytorch'],28.0,26.0,https://pypi.org/project/crypten,2022-12-08 22:11:59.883,2.0,634.0,634.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +506,Streamz,python-streamz/streamz,time-series-data,,https://github.com/python-streamz/streamz,https://github.com/python-streamz/streamz,BSD-3-Clause,2017-04-04 21:45:49.000,2022-12-22 14:52:10.000000,2022-12-22 14:52:10,805.0,2.0,143,37.0,214.0,108.0,152.0,1147,Real-time stream processing for python.,48.0,25,True,2022-07-27 18:09:03.803,0.6.4,17.0,streamz,conda-forge/streamz,,,,412.0,375.0,https://pypi.org/project/streamz,2022-07-27 18:09:03.803,37.0,16256.0,24920.0,https://anaconda.org/conda-forge/streamz,2022-07-28 13:12:55.935,571854.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +507,stockstats,jealous/stockstats,financial-data,,https://github.com/jealous/stockstats,https://github.com/jealous/stockstats,BSD-3-Clause,2016-06-05 15:21:22.000,2023-02-10 17:37:45.000000,2023-02-10 17:34:25,45.0,1.0,274,56.0,40.0,16.0,81.0,1105,Supply a wrapper ``StockDataFrame`` based on the ``pandas.DataFrame`` with inline stock statistics/indicators support.,9.0,25,True,2023-02-10 17:39:01.461,0.5.2,19.0,stockstats,,,,,830.0,800.0,https://pypi.org/project/stockstats,2022-11-19 14:23:00.863,30.0,11030.0,11030.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +508,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 18:22:13.000,2023-02-08 02:42:59.000000,2023-02-08 02:25:50,604.0,1.0,200,53.0,454.0,137.0,287.0,1102,A Framework for Encrypted Machine Learning in TensorFlow.,29.0,25,True,2023-02-08 02:53:00.720,0.9.1,41.0,tf-encrypted,,,,['tensorflow'],73.0,64.0,https://pypi.org/project/tf-encrypted,2022-11-16 09:12:55.841,9.0,820.0,820.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +509,Madmom,CPJKU/madmom,audio,,https://github.com/CPJKU/madmom,https://github.com/CPJKU/madmom,BSD-3-Clause,2015-09-08 08:19:06.000,2022-11-06 01:01:06.000000,2022-01-06 15:08:19,1746.0,,165,41.0,253.0,59.0,210.0,1040,Python audio and music signal processing library.,20.0,25,False,2018-11-14 14:57:41.000,0.16.1,11.0,madmom,,,,,367.0,340.0,https://pypi.org/project/madmom,2018-11-14 14:56:22.000,27.0,2630.0,2630.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +510,equinox,patrick-kidger/equinox,jax-utils,,https://github.com/patrick-kidger/equinox,https://github.com/patrick-kidger/equinox,Apache-2.0,2021-07-29 02:21:39.000,2023-03-14 21:46:13.000000,2023-03-12 19:47:02,520.0,76.0,58,20.0,142.0,32.0,115.0,1040,Elegant easy-to-use neural networks in JAX. https://docs.kidger.site/equinox/.,20.0,25,True,2023-02-21 23:31:11.057,0.10.1,33.0,equinox,,,,['jax'],116.0,105.0,https://pypi.org/project/equinox,2022-11-17 05:45:06.729,11.0,10955.0,10955.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +511,scikit-lego,koaning/scikit-lego,sklearn-utils,,https://github.com/koaning/scikit-lego,https://github.com/koaning/scikit-lego,MIT,2019-01-21 15:30:15.000,2023-03-04 09:51:38.000000,2023-03-04 09:51:32,452.0,6.0,100,19.0,296.0,26.0,238.0,984,Extra blocks for scikit-learn pipelines.,57.0,25,True,2022-11-02 11:39:40.000,0.6.14,40.0,scikit-lego,conda-forge/scikit-lego,,,['sklearn'],89.0,82.0,https://pypi.org/project/scikit-lego,2022-11-02 11:38:02.263,7.0,26373.0,27209.0,https://anaconda.org/conda-forge/scikit-lego,2022-11-03 07:39:39.512,34314.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +512,Pandas-Bokeh,PatrikHlobil/Pandas-Bokeh,data-viz,,https://github.com/PatrikHlobil/Pandas-Bokeh,https://github.com/PatrikHlobil/Pandas-Bokeh,MIT,2018-11-23 20:49:14.000,2023-03-06 07:53:27.000000,2023-03-06 07:52:05,311.0,11.0,105,26.0,32.0,32.0,69.0,837,Bokeh Plotting Backend for Pandas and GeoPandas.,15.0,25,True,2021-04-11 17:43:13.000,0.5.5,16.0,pandas-bokeh,,,,['pandas'],444.0,433.0,https://pypi.org/project/pandas-bokeh,2021-04-11 17:43:13.000,11.0,28060.0,28060.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +513,SMAC3,automl/SMAC3,hyperopt,,https://github.com/automl/SMAC3,https://github.com/automl/SMAC3,BSD-1-Clause,2016-08-17 10:58:05.000,2023-03-14 16:47:14.000000,2023-03-03 10:06:54,2059.0,2.0,192,42.0,515.0,73.0,362.0,807,SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization.,38.0,25,False,2023-03-03 10:29:54.000,2.0.0,45.0,smac,conda-forge/smac,,,,38.0,,https://pypi.org/project/smac,2023-01-07 10:49:12.675,38.0,42790.0,43261.0,https://anaconda.org/conda-forge/smac,2022-09-21 22:16:32.932,11323.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +514,Submit it,facebookincubator/submitit,distributed-ml,,https://github.com/facebookincubator/submitit,https://github.com/facebookincubator/submitit,MIT,2020-04-24 07:41:09.000,2023-03-02 13:50:52.000000,2022-09-28 08:58:38,127.0,,92,21.0,90.0,28.0,68.0,804,Python 3.6+ toolbox for submitting jobs to Slurm.,23.0,25,True,2022-07-20 17:19:06.753,1.4.5,20.0,submitit,conda-forge/submitit,,,,1018.0,1009.0,https://pypi.org/project/submitit,2022-07-20 17:19:06.753,9.0,54497.0,55009.0,https://anaconda.org/conda-forge/submitit,2021-02-10 12:48:57.745,15886.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +515,PyTorch Sparse,rusty1s/pytorch_sparse,pytorch-utils,,https://github.com/rusty1s/pytorch_sparse,https://github.com/rusty1s/pytorch_sparse,MIT,2018-07-28 18:46:53.000,2023-03-16 13:38:00.000000,2023-03-15 11:22:47,714.0,7.0,128,14.0,87.0,29.0,202.0,791,PyTorch Extension Library of Optimized Autograd Sparse Matrix Operations.,39.0,25,True,2022-12-22 14:51:27.000,0.6.16,29.0,torch-sparse,conda-forge/pytorch_sparse,,,['pytorch'],48.0,,https://pypi.org/project/torch-sparse,2022-12-22 14:51:10.764,48.0,33219.0,38365.0,https://anaconda.org/conda-forge/pytorch_sparse,2023-01-23 05:44:15.254,169838.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +516,tinytag,devsnd/tinytag,audio,,https://github.com/devsnd/tinytag,https://github.com/devsnd/tinytag,MIT,2014-01-27 15:27:01.000,2023-01-15 04:14:11.000000,2023-01-15 04:14:11,416.0,3.0,91,22.0,71.0,17.0,82.0,584,"Read audio and music meta data and duration of MP3, OGG, OPUS, MP4, M4A, FLAC, WMA, Wave and AIFF files with python 2..",25.0,25,True,2022-03-12 17:51:16.000,1.8.1,37.0,tinytag,,,,,778.0,708.0,https://pypi.org/project/tinytag,2022-03-12 17:51:16.000,70.0,18855.0,18855.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +517,detoxify,unitaryai/detoxify,nlp,,https://github.com/unitaryai/detoxify,https://github.com/unitaryai/detoxify,Apache-2.0,2020-09-23 15:24:21.000,2023-01-03 01:38:54.000000,2022-12-19 17:48:09,220.0,7.0,77,13.0,31.0,30.0,21.0,576,Trained models & code to predict toxic comments on all 3 Jigsaw Toxic Comment Challenges. Built using Pytorch..,9.0,25,True,2022-12-19 18:16:02.257,0.5.1,12.0,detoxify,,,,,252.0,249.0,https://pypi.org/project/detoxify,2022-12-19 18:16:02.257,3.0,77109.0,82711.0,,,,,,,,3.0,156865.0,,,,,,,,,,,,,,,,,,, +518,SKLL,EducationalTestingService/skll,ml-experiments,,https://github.com/EducationalTestingService/skll,https://github.com/EducationalTestingService/skll,BSD-1-Clause,2013-08-02 14:31:46.000,2023-01-20 04:06:34.576000,2023-01-19 16:58:29,3602.0,14.0,66,47.0,325.0,31.0,369.0,532,SciKit-Learn Laboratory (SKLL) makes it easy to run machine learning experiments.,38.0,25,False,2023-01-19 17:28:00.723,3.2.0,67.0,skll,conda-forge/skll,,,['sklearn'],57.0,39.0,https://pypi.org/project/skll,2023-01-19 17:28:00.723,18.0,668.0,944.0,https://anaconda.org/conda-forge/skll,2023-01-20 04:06:34.576,4422.0,,,,,3.0,12.0,,,,,,,,,,,,,,,,,,, +519,pyvips,libvips/pyvips,image,,https://github.com/libvips/pyvips,https://github.com/libvips/pyvips,MIT,2017-07-28 16:39:43.000,2023-02-28 10:18:25.000000,2023-02-28 10:18:12,457.0,11.0,46,7.0,48.0,131.0,213.0,491,python binding for libvips using cffi.,15.0,25,True,2022-06-12 09:54:07.000,2.2.1,24.0,pyvips,conda-forge/pyvips,,,,529.0,489.0,https://pypi.org/project/pyvips,2022-06-12 09:54:07.000,40.0,31142.0,32280.0,https://anaconda.org/conda-forge/pyvips,2022-10-29 23:53:42.904,48969.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +520,TensorFlow Cloud,tensorflow/cloud,tensorflow-utils,,https://github.com/tensorflow/cloud,https://github.com/tensorflow/cloud,Apache-2.0,2020-02-10 18:51:59.000,2023-01-27 17:26:02.000000,2022-12-22 21:34:29,574.0,1.0,76,28.0,313.0,60.0,27.0,343,The TensorFlow Cloud repository provides APIs that will allow to easily go from debugging and training your Keras and..,27.0,25,True,2021-06-17 01:15:10.000,0.1.16,19.0,tensorflow-cloud,,,,['tensorflow'],224.0,223.0,https://pypi.org/project/tensorflow-cloud,2021-06-17 01:15:10.000,1.0,96389.0,96389.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +521,NIPY,nipy/nipy,medical-data,,https://github.com/nipy/nipy,https://github.com/nipy/nipy,BSD-3-Clause,2010-05-02 10:00:33.000,2023-02-07 23:07:17.000000,2023-02-06 19:19:09,6444.0,17.0,130,37.0,347.0,45.0,113.0,331,Neuroimaging in Python FMRI analysis package.,65.0,25,True,2018-02-19 14:14:08.000,0.4.2,6.0,nipy,conda-forge/nipy,,,,47.0,,https://pypi.org/project/nipy,2018-02-19 14:14:08.000,47.0,1507.0,2983.0,https://anaconda.org/conda-forge/nipy,2020-05-04 19:38:04.112,100410.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +522,pymap3d,geospace-code/pymap3d,geospatial-data,,https://github.com/geospace-code/pymap3d,https://github.com/geospace-code/pymap3d,BSD-2-Clause,2014-08-03 04:28:03.000,2023-03-05 07:30:29.549000,2023-03-05 05:31:37,737.0,9.0,78,13.0,26.0,3.0,44.0,302,pure-Python (Numpy optional) 3D coordinate conversions for geospace ecef enu eci.,15.0,25,True,2023-03-05 05:35:05.094,3.0.1,56.0,pymap3d,conda-forge/pymap3d,,,,256.0,238.0,https://pypi.org/project/pymap3d,2022-07-03 21:24:08.000,18.0,71790.0,73054.0,https://anaconda.org/conda-forge/pymap3d,2023-03-05 07:30:29.549,45527.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +523,qdrant,qdrant/qdrant,nlp,,https://github.com/qdrant/qdrant,https://github.com/qdrant/qdrant,Apache-2.0,2020-05-30 21:37:01.000,2023-03-16 12:02:18.000000,2023-03-15 15:32:27,1232.0,189.0,224,50.0,1110.0,49.0,360.0,4913,Qdrant - Vector Search Engine and Database for the next generation of AI applications. Also available in the cloud..,34.0,24,True,2023-03-06 09:14:50.000,1.0.3,41.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +524,AugLy,facebookresearch/AugLy,others,,https://github.com/facebookresearch/AugLy,https://github.com/facebookresearch/AugLy,MIT,2021-06-09 17:57:28.000,2022-12-05 09:42:34.000000,2022-12-05 09:29:28,202.0,,276,62.0,173.0,19.0,54.0,4681,"A data augmentations library for audio, image, text, and video.",26.0,24,True,2022-03-29 11:42:50.000,1.0.0,17.0,augly,,,,,58.0,55.0,https://pypi.org/project/augly,2022-03-28 13:29:26.000,3.0,2042.0,2042.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +525,Image Deduplicator,idealo/imagededup,image,,https://github.com/idealo/imagededup,https://github.com/idealo/imagededup,Apache-2.0,2019-04-05 12:10:54.000,2023-02-27 18:18:40.000000,2023-01-10 17:33:25,514.0,4.0,404,63.0,84.0,48.0,79.0,4437,Finding duplicate images made easy!.,13.0,24,True,2023-01-16 17:21:57.000,0.3.1,11.0,imagededup,,,,['tensorflow'],40.0,36.0,https://pypi.org/project/imagededup,2023-01-16 15:52:04.241,4.0,1803.0,1803.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +526,segmentation_models,qubvel/segmentation_models,image,,https://github.com/qubvel/segmentation_models,https://github.com/qubvel/segmentation_models,MIT,2018-06-05 13:27:56.000,2022-11-03 00:36:59.000000,2022-07-29 10:37:24,205.0,,952,97.0,60.0,243.0,265.0,4249,Segmentation models with pretrained backbones. Keras and TensorFlow Keras.,14.0,24,True,2020-01-10 11:36:02.000,1.0.1,8.0,segmentation_models,,,,['tensorflow'],24.0,,https://pypi.org/project/segmentation_models,2020-01-10 11:36:02.000,24.0,23062.0,23062.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +527,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,,917,177.0,385.0,33.0,429.0,3757,"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'],15.0,15.0,https://pypi.org/project/matchzoo,2019-10-24 13:09:11.000,,104.0,104.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +528,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,,700,67.0,247.0,120.0,819.0,3745,"A fork of OpenAI Baselines, implementations of reinforcement learning algorithms.",114.0,24,True,2021-04-06 12:37:09.000,2.10.2,31.0,stable-baselines,,,,,37.0,,https://pypi.org/project/stable-baselines,2021-04-06 12:37:09.000,37.0,6972.0,6972.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +529,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 20:22:54.000,2022-12-11 00:19:23.000000,2022-08-06 21:47:18,182.0,,351,60.0,49.0,72.0,54.0,3531,A Unified Toolkit for Deep Learning Based Document Image Analysis.,8.0,24,True,2022-04-06 04:38:09.000,0.3.4,11.0,layoutparser,,,,,160.0,155.0,https://pypi.org/project/layoutparser,2022-04-06 04:38:09.000,5.0,43025.0,43025.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +530,AdaNet,tensorflow/adanet,hyperopt,,https://github.com/tensorflow/adanet,https://github.com/tensorflow/adanet,Apache-2.0,2018-06-28 20:20:24.000,2021-08-30 19:33:24.000000,2021-08-30 19:33:24,440.0,,527,175.0,49.0,64.0,49.0,3434,Fast and flexible AutoML with learning guarantees.,27.0,24,False,2020-07-09 21:03:28.000,0.9.0,13.0,adanet,,,,['tensorflow'],50.0,48.0,https://pypi.org/project/adanet,2020-07-09 21:03:28.000,2.0,160.0,160.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +531,ReAgent,facebookresearch/ReAgent,reinforcement-learning,,https://github.com/facebookresearch/ReAgent,https://github.com/facebookresearch/ReAgent,BSD-3-Clause,2017-07-27 17:53:21.000,2023-03-15 03:06:48.000000,2023-03-15 03:03:04,1527.0,19.0,482,151.0,606.0,69.0,75.0,3360,"A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.).",153.0,24,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,,23.0,23.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +532,PyTorch-BigGraph,facebookresearch/PyTorch-BigGraph,graph,,https://github.com/facebookresearch/PyTorch-BigGraph,https://github.com/facebookresearch/PyTorch-BigGraph,BSD-3-Clause,2018-10-01 20:41:16.000,2022-12-08 21:21:56.000000,2022-12-08 21:13:23,167.0,,427,92.0,78.0,55.0,137.0,3198,Generate embeddings from large-scale graph-structured data.,29.0,24,True,2019-10-14 16:45:11.000,1.0.0,3.0,torchbiggraph,,,,['pytorch'],3.0,,https://pypi.org/project/torchbiggraph,2019-05-01 21:31:13.000,3.0,157133.0,157136.0,,,,,,,,2.0,152.0,,,,,,,,,,,,,,,,,,, +533,LIT,PAIR-code/lit,interpretability,,https://github.com/PAIR-code/lit,https://github.com/PAIR-code/lit,Apache-2.0,2020-07-28 13:07:26.000,2023-03-15 19:27:04.000000,2022-12-02 19:48:37,904.0,,324,71.0,938.0,64.0,72.0,3086,The Learning Interpretability Tool: Interactively analyze ML models to understand their behavior in an extensible and..,27.0,24,True,2022-12-02 03:32:59.000,0.5,8.0,lit-nlp,conda-forge/lit-nlp,,,,20.0,19.0,https://pypi.org/project/lit-nlp,2022-12-02 03:31:01.152,1.0,733.0,2507.0,https://anaconda.org/conda-forge/lit-nlp,2021-11-09 18:19:30.401,53233.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +534,pytorchvideo,facebookresearch/pytorchvideo,image,,https://github.com/facebookresearch/pytorchvideo,https://github.com/facebookresearch/pytorchvideo,Apache-2.0,2021-03-09 20:39:13.000,2023-02-27 23:11:26.000000,2023-02-27 23:00:42,172.0,1.0,335,173.0,75.0,81.0,99.0,2791,A deep learning library for video understanding research.,50.0,24,True,2022-01-20 00:16:35.000,0.1.5,9.0,pytorchvideo,,,,['pytorch'],7.0,,https://pypi.org/project/pytorchvideo,2022-01-20 00:16:35.000,7.0,13396.0,13396.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +535,OpenPrompt,thunlp/OpenPrompt,nlp,,https://github.com/thunlp/OpenPrompt,https://github.com/thunlp/OpenPrompt,Apache-2.0,2021-09-30 09:38:45.000,2023-02-05 13:15:09.000000,2023-02-05 13:15:02,250.0,6.0,306,29.0,42.0,55.0,152.0,2627,An Open-Source Framework for Prompt-Learning.,19.0,24,True,2022-07-06 14:27:42.000,1.0.1,5.0,openprompt,,,,,36.0,35.0,https://pypi.org/project/openprompt,2022-07-06 14:27:42.000,1.0,1714.0,1714.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +536,HiPlot,facebookresearch/hiplot,data-viz,,https://github.com/facebookresearch/hiplot,https://github.com/facebookresearch/hiplot,MIT,2019-11-08 13:06:41.000,2023-03-15 06:44:08.000000,2023-03-03 12:36:36,204.0,1.0,123,29.0,192.0,16.0,71.0,2444,HiPlot makes understanding high dimensional data easy.,8.0,24,True,2022-05-31 09:00:35.000,0.1.33,113.0,hiplot,conda-forge/hiplot,,,,270.0,258.0,https://pypi.org/project/hiplot,2022-10-27 17:36:01.489,12.0,37045.0,40481.0,https://anaconda.org/conda-forge/hiplot,2022-05-31 21:21:53.546,127162.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +537,DDSP,magenta/ddsp,audio,,https://github.com/magenta/ddsp,https://github.com/magenta/ddsp,Apache-2.0,2020-01-14 18:38:27.000,2023-01-21 13:25:14.000000,2022-12-22 00:01:07,463.0,1.0,286,64.0,307.0,34.0,117.0,2431,DDSP: Differentiable Digital Signal Processing.,32.0,24,True,2022-10-04 01:08:40.505,3.5.0,52.0,ddsp,conda-forge/ddsp,,,['tensorflow'],39.0,38.0,https://pypi.org/project/ddsp,2022-10-04 01:08:40.505,1.0,3651.0,4043.0,https://anaconda.org/conda-forge/ddsp,2020-06-08 12:59:15.975,12961.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +538,pytorch-nlp,PetrochukM/PyTorch-NLP,nlp,,https://github.com/PetrochukM/PyTorch-NLP,https://github.com/PetrochukM/PyTorch-NLP,BSD-3-Clause,2018-02-25 05:00:36.000,2022-07-16 23:44:23.000000,2021-07-10 15:56:42,447.0,,254,57.0,56.0,20.0,49.0,2156,Basic Utilities for PyTorch Natural Language Processing (NLP).,18.0,24,False,2019-11-04 05:16:00.000,0.5.0,19.0,pytorch-nlp,,,,['pytorch'],524.0,507.0,https://pypi.org/project/pytorch-nlp,2019-11-04 04:35:18.000,17.0,8002.0,8002.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +539,PyFlux,RJT1990/pyflux,time-series-data,,https://github.com/RJT1990/pyflux,https://github.com/RJT1990/pyflux,BSD-3-Clause,2016-02-16 20:12:02.000,2019-03-19 10:45:02.000000,2018-12-16 15:30:13,118.0,,234,70.0,20.0,92.0,66.0,2015,Open source time series library for Python.,6.0,24,False,2017-11-21 16:27:06.000,0.4.16,35.0,pyflux,,,,,250.0,234.0,https://pypi.org/project/pyflux,2017-11-21 16:27:06.000,16.0,24366.0,24366.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +540,Karate Club,benedekrozemberczki/karateclub,graph,,https://github.com/benedekrozemberczki/karateclub,https://github.com/benedekrozemberczki/karateclub,GPL-3.0,2019-12-05 17:35:56.000,2023-03-14 21:35:19.000000,2023-03-14 21:35:19,2279.0,7.0,229,39.0,30.0,2.0,101.0,1844,Karate Club: An API Oriented Open-source Python Framework for Unsupervised Learning on Graphs (CIKM 2020).,17.0,24,False,2022-12-04 19:04:05.000,_10304,107.0,karateclub,conda-forge/karateclub,,,,141.0,138.0,https://pypi.org/project/karateclub,2022-10-22 16:17:27.886,3.0,3142.0,3647.0,https://anaconda.org/conda-forge/karateclub,2022-01-28 14:45:25.910,16179.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +541,FARM,deepset-ai/FARM,nlp,,https://github.com/deepset-ai/FARM,https://github.com/deepset-ai/FARM,Apache-2.0,2019-07-17 14:51:12.000,2023-02-15 23:42:03.000000,2022-08-31 09:45:24,594.0,,234,54.0,443.0,2.0,401.0,1643,Fast & easy transfer learning for NLP. Harvesting language models for the industry. Focus on Question Answering.,37.0,24,True,2021-06-10 09:45:12.000,0.8.0,25.0,farm,conda-forge/farm,,,['pytorch'],3.0,,https://pypi.org/project/farm,2021-06-10 09:41:53.000,3.0,5180.0,5276.0,https://anaconda.org/conda-forge/farm,2021-06-14 12:34:06.874,2209.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +542,fklearn,nubank/fklearn,ml-frameworks,,https://github.com/nubank/fklearn,https://github.com/nubank/fklearn,Apache-2.0,2019-02-27 14:32:57.000,2023-02-26 23:33:18.000000,2022-10-21 22:59:05,150.0,,159,96.0,174.0,38.0,23.0,1432,fklearn: Functional Machine Learning.,50.0,24,True,2022-09-06 18:54:27.214,2.2.1,26.0,fklearn,,,,,13.0,13.0,https://pypi.org/project/fklearn,2022-09-06 18:54:27.214,,3279.0,3279.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +543,Pytorch Toolbelt,BloodAxe/pytorch-toolbelt,pytorch-utils,,https://github.com/BloodAxe/pytorch-toolbelt,https://github.com/BloodAxe/pytorch-toolbelt,MIT,2019-03-15 16:02:49.000,2023-02-25 16:39:28.000000,2023-02-25 16:41:57,1067.0,23.0,113,28.0,64.0,1.0,24.0,1362,PyTorch extensions for fast R&D prototyping and Kaggle farming.,7.0,24,True,2022-12-25 21:42:00.510,0.6.2,28.0,pytorch_toolbelt,,,,['pytorch'],6.0,,https://pypi.org/project/pytorch_toolbelt,2022-12-25 21:42:00.510,6.0,13657.0,13657.0,,,,,,,,2.0,,,,,,,,,,,,,,,,,,,, +544,torchrec,pytorch/torchrec,recommender-systems,,https://github.com/pytorch/torchrec,https://github.com/pytorch/torchrec,BSD-3-Clause,2021-07-12 23:15:48.000,2023-03-16 11:30:47.000000,2023-03-16 04:51:24,1050.0,131.0,235,28.0,1004.0,97.0,60.0,1339,Pytorch domain library for recommendation systems.,145.0,24,True,2023-03-15 20:48:02.000,0.4.0,77.0,torchrec-nightly-cpu,,,,,,,https://pypi.org/project/torchrec-nightly-cpu,2022-05-12 18:55:21.000,,557.0,557.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +545,Labml,labmlai/labml,ml-experiments,,https://github.com/labmlai/labml,https://github.com/labmlai/labml,MIT,2018-11-16 09:34:48.000,2023-02-19 06:01:16.000000,2022-11-23 04:33:16,1284.0,,90,30.0,79.0,20.0,17.0,1302,Monitor deep learning model training and hardware usage from your mobile phone.,7.0,24,True,2022-11-23 04:35:03.026,0.4.161,137.0,labml,,,,,79.0,73.0,https://pypi.org/project/labml,2022-11-23 04:35:03.026,6.0,1479.0,1479.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +546,Explainability 360,Trusted-AI/AIX360,interpretability,,https://github.com/Trusted-AI/AIX360,https://github.com/Trusted-AI/AIX360,Apache-2.0,2019-07-11 07:17:48.000,2022-11-09 20:58:15.000000,2022-11-03 13:41:59,433.0,,277,52.0,100.0,52.0,29.0,1278,Interpretability and explainability of data and machine learning models.,39.0,24,True,2020-10-28 09:32:21.000,0.2.1,4.0,aix360,,,,,71.0,70.0,https://pypi.org/project/aix360,2020-10-28 09:18:17.000,1.0,1258.0,1258.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +547,NeuralForecast,Nixtla/neuralforecast,time-series-data,,https://github.com/Nixtla/neuralforecast,https://github.com/Nixtla/neuralforecast,Apache-2.0,2021-04-26 00:15:19.000,2023-03-15 17:33:38.000000,2023-03-15 17:29:03,956.0,34.0,123,18.0,263.0,38.0,148.0,1262,Scalable and user friendly neural forecasting algorithms.,23.0,24,True,2023-02-14 22:28:00.481,1.4.0,14.0,neuralforecast,conda-forge/neuralforecast,,,,15.0,13.0,https://pypi.org/project/neuralforecast,2022-12-15 17:44:32.048,2.0,4350.0,4748.0,https://anaconda.org/conda-forge/neuralforecast,2023-02-15 23:36:38.255,4787.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +548,Feature Engine,solegalli/feature_engine,others,,https://github.com/solegalli/feature_engine,https://github.com/solegalli/feature_engine,BSD-3-Clause,2020-08-06 19:43:35.639,2023-02-27 15:58:17.447000,2022-12-07 10:32:49,237.0,,246,1.0,1.0,1.0,,1218,Feature engineering package with sklearn like functionality.,38.0,24,True,2022-11-22 11:29:10.203,1.5.2,35.0,feature_engine,conda-forge/feature_engine,,,,30.0,,https://pypi.org/project/feature_engine,2022-11-22 11:29:10.203,30.0,155863.0,156747.0,https://anaconda.org/conda-forge/feature_engine,2023-02-27 15:58:17.447,27413.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +549,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,,222,74.0,415.0,75.0,147.0,1098,ChainerRL is a deep reinforcement learning library built on top of Chainer.,29.0,24,False,2020-02-14 05:35:56.000,0.8.0,10.0,chainerrl,,,,,151.0,143.0,https://pypi.org/project/chainerrl,2020-02-14 05:35:56.000,8.0,823.0,823.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +550,Node2Vec,eliorc/node2vec,graph,,https://github.com/eliorc/node2vec,https://github.com/eliorc/node2vec,MIT,2017-12-08 13:30:06.000,2023-02-16 09:44:09.143000,2022-10-19 11:01:06,75.0,,226,18.0,16.0,1.0,83.0,1037,Implementation of the node2vec algorithm.,11.0,24,True,2022-08-01 11:35:00.616,0.4.6,18.0,node2vec,conda-forge/node2vec,,,,384.0,368.0,https://pypi.org/project/node2vec,2022-08-01 11:35:00.616,16.0,93010.0,93425.0,https://anaconda.org/conda-forge/node2vec,2023-02-16 09:44:09.143,24074.0,,,,,2.0,,,,,,,,,,,,,,,,,,,, +551,scikit-cuda,lebedov/scikit-cuda,gpu-utilities,,https://github.com/lebedov/scikit-cuda,https://github.com/lebedov/scikit-cuda,BSD-3-Clause,2010-09-27 02:02:07.000,2022-03-31 14:08:20.000000,2022-03-31 14:08:20,1034.0,,170,48.0,111.0,50.0,170.0,929,Python interface to GPU-powered libraries.,46.0,24,True,2019-05-27 00:29:00.000,0.5.3,7.0,scikit-cuda,,,,,268.0,224.0,https://pypi.org/project/scikit-cuda,2019-05-27 00:29:00.000,44.0,894.0,894.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +552,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 21:24:56,1146.0,1.0,160,32.0,25.0,34.0,234.0,741,NeuPy is a Tensorflow based python library for prototyping and building neural networks.,8.0,24,True,2019-04-04 19:44:59.000,0.8.2,34.0,neupy,,,,,157.0,145.0,https://pypi.org/project/neupy,2019-04-04 19:43:06.000,12.0,5522.0,5522.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +553,PDPbox,SauceCat/PDPbox,data-viz,,https://github.com/SauceCat/PDPbox,https://github.com/SauceCat/PDPbox,MIT,2017-06-26 08:01:54.000,2023-03-11 13:34:38.000000,2021-03-14 16:01:01,227.0,,120,17.0,23.0,23.0,39.0,733,python partial dependence plot toolbox.,7.0,24,False,2021-03-14 16:21:17.000,0.2.1,3.0,pdpbox,conda-forge/pdpbox,,,,1050.0,1024.0,https://pypi.org/project/pdpbox,2021-03-14 16:21:17.000,26.0,25109.0,25469.0,https://anaconda.org/conda-forge/pdpbox,2021-03-14 19:37:51.465,15883.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +554,Plotly-Resampler,predict-idlab/plotly-resampler,data-viz,,https://github.com/predict-idlab/plotly-resampler,https://github.com/predict-idlab/plotly-resampler,MIT,2021-11-20 10:51:56.000,2023-03-15 20:15:32.000000,2023-03-08 16:00:19,662.0,19.0,44,10.0,80.0,30.0,65.0,673,Visualize large time series data with plotly.py.,10.0,24,True,2023-03-08 16:15:16.000,0.8.3.2,48.0,plotly-resampler,conda-forge/plotly-resampler,,,,143.0,139.0,https://pypi.org/project/plotly-resampler,2022-06-29 16:22:00.000,4.0,158021.0,158923.0,https://anaconda.org/conda-forge/plotly-resampler,2023-03-09 09:14:01.821,12628.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +555,FEDOT,nccr-itmo/FEDOT,hyperopt,,https://github.com/aimclub/FEDOT,https://github.com/aimclub/FEDOT,BSD-3-Clause,2020-01-13 12:48:37.000,2023-03-16 15:07:37.000000,2023-03-11 13:43:55,771.0,34.0,71,10.0,604.0,86.0,354.0,505,Automated modeling and machine learning framework FEDOT.,27.0,24,True,2023-02-23 08:43:10.000,0.7.0,17.0,fedot,,,,,28.0,28.0,https://pypi.org/project/fedot,2022-12-12 17:17:01.066,,1473.0,1473.0,,,,,,,,2.0,,,,,,,,,,,,aimclub/FEDOT,,,,,,,, +556,Merlin,NVIDIA-Merlin/Merlin,gpu-utilities,,https://github.com/NVIDIA-Merlin/Merlin,https://github.com/NVIDIA-Merlin/Merlin,Apache-2.0,2021-03-30 23:35:26.000,2023-03-16 13:55:57.000000,2023-03-07 19:39:39,383.0,35.0,73,29.0,435.0,165.0,181.0,479,"NVIDIA Merlin is an open source library providing end-to-end GPU-accelerated recommender systems, from feature..",27.0,24,True,2023-03-10 09:50:44.606,23.2.1,12.0,merlin-core,,,,,1.0,,https://pypi.org/project/merlin-core,2023-01-02 17:36:18.094,1.0,13818.0,13818.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +557,whoosh,mchaput/whoosh,nlp,,https://github.com/mchaput/whoosh,https://github.com/mchaput/whoosh,BSD-1-Clause,2015-04-17 19:34:47.000,2022-11-13 06:13:31.000000,2022-01-15 18:08:37,1718.0,,51,12.0,10.0,25.0,3.0,378,Pure-Python full-text search library.,42.0,24,False,2016-04-04 01:19:40.000,2.7.4,141.0,whoosh,conda-forge/whoosh,,,,3658.0,,https://pypi.org/project/whoosh,2016-04-04 01:19:40.000,3658.0,224264.0,226348.0,https://anaconda.org/conda-forge/whoosh,2022-10-29 09:27:59.277,160486.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +558,MONAILabel,Project-MONAI/MONAILabel,others,,https://github.com/Project-MONAI/MONAILabel,https://github.com/Project-MONAI/MONAILabel,Apache-2.0,2021-03-26 15:25:10.000,2023-03-15 09:42:42.000000,2023-03-14 19:48:12,872.0,52.0,131,23.0,725.0,49.0,337.0,375,MONAI Label is an intelligent open source image labeling and learning tool.,43.0,24,True,2022-12-20 05:20:49.000,0.6.0,86.0,monailabel-weekly,,,,,,,https://pypi.org/project/monailabel-weekly,2023-01-29 02:38:02.009,,732.0,2818.0,,,,,,,,3.0,41722.0,,,,,,,,,,,,,,,,,,, +559,TimeSide,Parisson/TimeSide,audio,,https://github.com/Ircam-WAM/TimeSide,https://github.com/Ircam-WAM/TimeSide,AGPL-3.0,2011-11-21 21:48:08.000,2023-03-15 13:44:56.000000,2023-02-01 10:38:52,3728.0,69.0,60,25.0,105.0,40.0,174.0,346,scalable audio processing framework and server written in Python.,22.0,24,False,2023-01-03 17:34:09.000,1.1.3,27.0,TimeSide,,,,,30.0,16.0,https://pypi.org/project/TimeSide,2020-11-27 09:33:19.000,14.0,133.0,133.0,,,,,,,,3.0,,,,,,,,,,,,Ircam-WAM/TimeSide,,,,,,,, +560,vega,vega/ipyvega,data-viz,,https://github.com/vega/ipyvega,https://github.com/vega/ipyvega,BSD-3-Clause,2015-08-04 03:22:47.000,2023-02-28 17:51:08.000000,2023-02-28 17:51:02,618.0,15.0,59,33.0,369.0,12.0,89.0,341,IPython/Jupyter notebook module for Vega and Vega-Lite.,13.0,24,True,2022-02-10 02:01:39.000,3.6.0,39.0,vega,conda-forge/vega,,,['jupyter'],86.0,2.0,https://pypi.org/project/vega,2022-02-10 02:01:39.000,84.0,11460.0,18073.0,https://anaconda.org/conda-forge/vega,2022-12-05 16:11:57.491,535719.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +561,gokart,m3dev/gokart,ml-experiments,,https://github.com/m3dev/gokart,https://github.com/m3dev/gokart,MIT,2018-12-23 07:40:27.000,2023-03-13 21:37:45.000000,2023-03-13 21:37:42,494.0,9.0,50,27.0,235.0,16.0,59.0,277,"Gokart solves reproducibility, task dependencies, constraints of good code, and ease of use for Machine Learning..",36.0,24,False,2023-03-02 11:48:00.895,1.2.2,69.0,gokart,,,,,69.0,65.0,https://pypi.org/project/gokart,2022-11-01 06:28:00.638,4.0,1558.0,1558.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +562,cortex,cortexlabs/cortex,model-serialisation,,https://github.com/cortexlabs/cortex,https://github.com/cortexlabs/cortex,Apache-2.0,2019-01-24 04:43:14.000,2023-03-04 05:20:50.000000,2023-03-04 05:19:44,2327.0,2.0,606,147.0,1356.0,118.0,985.0,7907,Production infrastructure for machine learning at scale.,24.0,23,True,2022-09-23 18:01:31.000,0.42.1,63.0,cortex,,,,,1.0,,https://pypi.org/project/cortex,2022-09-23 17:40:01.770,1.0,1515.0,1515.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +563,TTS,mozilla/TTS,audio,,https://github.com/mozilla/TTS,https://github.com/mozilla/TTS,MPL-2.0,2018-01-23 14:22:06.000,2023-01-09 00:12:07.000000,2021-02-12 10:36:31,2184.0,,1009,169.0,212.0,6.0,533.0,6817,Deep learning for Text to Speech (Discussion forum: https://discourse.mozilla.org/c/tts).,56.0,23,False,2021-01-29 00:03:56.000,0.0.9,1.0,,,,,,,,,,,,166.0,,,,,,,,3.0,4316.0,,,,,,,,,,,,,,,,,,, +564,DeepMatcher,anhaidgroup/deepmatcher,nlp,,https://github.com/anhaidgroup/deepmatcher,https://github.com/anhaidgroup/deepmatcher,BSD-3-Clause,2017-12-01 19:01:11.000,2023-03-01 23:43:35.000000,2021-06-13 00:22:13,176.0,,1661,19.0,16.0,70.0,24.0,4591,Python package for performing Entity and Text Matching using Deep Learning.,7.0,23,False,2021-05-27 22:28:29.000,0.1.2,13.0,deepmatcher,,,,,22.0,22.0,https://pypi.org/project/deepmatcher,2021-06-13 01:13:24.000,,3921.0,3921.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +565,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,,320,75.0,37.0,95.0,73.0,4385,Simple command line tool for text to image generation using OpenAIs CLIP and Siren (Implicit neural representation..,14.0,23,True,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,,1487.0,1487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +566,Image Super-Resolution,idealo/image-super-resolution,image,,https://github.com/idealo/image-super-resolution,https://github.com/idealo/image-super-resolution,Apache-2.0,2018-11-26 13:41:13.000,2022-01-23 11:27:35.000000,2021-06-02 09:45:13,150.0,,669,102.0,32.0,96.0,111.0,4068,Super-scale your images and run experiments with Residual Dense and Adversarial Networks.,10.0,23,False,2020-01-08 15:37:35.000,2.2.0,11.0,ISR,,idealo/image-super-resolution-gpu,,['tensorflow'],112.0,107.0,https://pypi.org/project/ISR,2020-01-08 15:37:35.000,5.0,6436.0,6440.0,,,,https://hub.docker.com/r/idealo/image-super-resolution-gpu,2019-04-01 13:48:45.697251,,224.0,3.0,,,,,,,,,,,,,,,,,,,, +567,MMLSpark,microsoft/SynapseML,distributed-ml,,https://github.com/microsoft/SynapseML,https://github.com/microsoft/SynapseML,MIT,2017-06-05 08:23:44.000,2023-03-16 13:04:52.000000,2023-03-15 17:09:59,1375.0,81.0,726,142.0,1236.0,276.0,379.0,3944,Simple and Distributed Machine Learning.,106.0,23,True,2022-11-22 14:30:21.000,0.10.2,27.0,mmlspark,,,,['spark'],,,https://pypi.org/project/mmlspark,2020-03-18 01:27:31.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +568,scikit-opt,guofei9987/scikit-opt,sklearn-utils,,https://github.com/guofei9987/scikit-opt,https://github.com/guofei9987/scikit-opt,MIT,2017-12-05 10:20:41.000,2023-02-19 16:29:00.000000,2023-02-19 16:29:00,327.0,1.0,852,42.0,27.0,55.0,109.0,3886,"Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune..",17.0,23,True,2022-01-14 08:49:08.000,0.6.6,23.0,scikit-opt,,,,['sklearn'],111.0,105.0,https://pypi.org/project/scikit-opt,2022-01-14 08:49:08.000,6.0,2608.0,2608.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +569,neon,NervanaSystems/neon,ml-frameworks,,https://github.com/NervanaSystems/neon,https://github.com/NervanaSystems/neon,Apache-2.0,2014-10-16 01:00:17.000,2023-03-16 13:56:50.607000,2019-05-22 18:27:54,1118.0,,824,336.0,89.0,91.0,306.0,3867,Intel Nervana reference deep learning framework committed to best performance on all hardware.,108.0,23,False,2018-01-05 23:25:04.000,2.6.0,32.0,nervananeon,anaconda/neon,,,,1.0,,https://pypi.org/project/nervananeon,2018-01-05 23:25:04.000,1.0,86.0,108.0,https://anaconda.org/anaconda/neon,2023-03-16 13:56:50.607,1499.0,,,,,3.0,349.0,,,,,,,,,,,,,,,,,,, +570,tf-quant-finance,google/tf-quant-finance,financial-data,,https://github.com/google/tf-quant-finance,https://github.com/google/tf-quant-finance,Apache-2.0,2019-07-24 16:09:50.000,2023-03-16 10:44:15.000000,2023-03-16 10:44:09,951.0,19.0,491,167.0,41.0,30.0,27.0,3667,High-performance TensorFlow library for quantitative finance.,45.0,23,True,,,30.0,tf-quant-finance,,,,['tensorflow'],2.0,,https://pypi.org/project/tf-quant-finance,2022-08-19 12:40:54.257,2.0,1898.0,1898.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +571,tensorflow-graphics,tensorflow/graphics,image,,https://github.com/tensorflow/graphics,https://github.com/tensorflow/graphics,Apache-2.0,2019-01-08 10:39:44.000,2023-02-14 20:09:50.000000,2023-02-14 20:09:44,761.0,3.0,362,94.0,540.0,144.0,91.0,2698,TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow.,39.0,23,True,2021-12-03 22:33:39.000,2021.12.3,25.0,tensorflow-graphics,,,,['tensorflow'],5.0,,https://pypi.org/project/tensorflow-graphics,2021-12-03 22:33:39.000,5.0,3693.0,3693.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +572,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,,439,65.0,122.0,32.0,349.0,2353,Kashgari is a production-level NLP Transfer learning framework built on top of tf.keras for text-labeling and text-..,21.0,23,False,2021-07-04 10:44:36.000,2.0.2,24.0,kashgari-tf,,,,['tensorflow'],62.0,60.0,https://pypi.org/project/kashgari-tf,2019-10-18 07:57:55.000,2.0,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +573,Sweetviz,fbdesignpro/sweetviz,data-viz,,https://github.com/fbdesignpro/sweetviz,https://github.com/fbdesignpro/sweetviz,MIT,2020-05-09 15:25:47.000,2023-03-05 10:18:55.000000,2022-06-08 12:10:12,103.0,,228,48.0,14.0,35.0,72.0,2346,"Visualize and compare datasets, target values and associations, with one line of code.",6.0,23,True,2022-06-14 21:52:54.000,2.1.4,32.0,sweetviz,conda-forge/sweetviz,,,,8.0,,https://pypi.org/project/sweetviz,2022-06-14 21:46:56.000,8.0,77195.0,77960.0,https://anaconda.org/conda-forge/sweetviz,2022-06-15 10:27:12.398,19134.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +574,python_speech_features,jameslyons/python_speech_features,audio,,https://github.com/jameslyons/python_speech_features,https://github.com/jameslyons/python_speech_features,MIT,2013-10-31 02:42:08.000,2021-10-20 10:08:48.000000,2020-12-31 13:27:01,120.0,,604,89.0,29.0,23.0,51.0,2211,This library provides common speech features for ASR including MFCCs and filterbank energies.,19.0,23,False,2020-01-14 14:12:10.000,0.6.1,6.0,python_speech_features,,,,,161.0,,https://pypi.org/project/python_speech_features,2017-08-16 01:46:13.000,161.0,39804.0,39804.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +575,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,,303,68.0,78.0,59.0,68.0,2070,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'],22.0,19.0,https://pypi.org/project/sru,2021-06-17 23:33:37.000,3.0,5395.0,5395.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +576,TabNet,dreamquark-ai/tabnet,pytorch-utils,,https://github.com/dreamquark-ai/tabnet,https://github.com/dreamquark-ai/tabnet,MIT,2019-10-17 11:17:32.000,2023-03-12 22:59:58.000000,2022-12-12 09:34:45,179.0,,403,36.0,203.0,43.0,236.0,2050,PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf.,19.0,23,True,2022-09-14 16:48:34.000,4.0,18.0,pytorch-tabnet,conda-forge/pytorch-tabnet,,,['pytorch'],9.0,,https://pypi.org/project/pytorch-tabnet,2022-09-19 23:03:34.148,9.0,28298.0,28527.0,https://anaconda.org/conda-forge/pytorch-tabnet,2023-02-22 13:19:37.805,3444.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +577,pytorch_geometric_temporal,benedekrozemberczki/pytorch_geometric_temporal,graph,,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,https://github.com/benedekrozemberczki/pytorch_geometric_temporal,MIT,2020-06-27 01:11:33.000,2023-02-18 15:22:01.000000,2023-02-18 15:22:01,1930.0,4.0,278,39.0,77.0,17.0,121.0,1974,PyTorch Geometric Temporal: Spatiotemporal Signal Processing with Neural Machine Learning Models (CIKM 2021).,26.0,23,True,2022-09-04 16:37:07.000,0.54.0,46.0,torch-geometric-temporal,,,,['pytorch'],2.0,,https://pypi.org/project/torch-geometric-temporal,2022-09-04 16:10:00.738,2.0,2712.0,2712.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +578,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,,603,80.0,48.0,22.0,64.0,1865,Common financial technical indicators implemented in Pandas.,28.0,23,False,2021-04-03 08:51:49.000,1.3,19.0,finta,,,,,347.0,337.0,https://pypi.org/project/finta,2020-10-21 11:39:44.000,10.0,7225.0,7225.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +579,kubric,google-research/kubric,image,,https://github.com/google-research/kubric,https://github.com/google-research/kubric,Apache-2.0,2020-07-22 19:56:38.000,2023-03-09 01:43:24.000000,2023-03-09 01:42:57,519.0,8.0,161,36.0,104.0,52.0,121.0,1817,A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as..,23.0,23,True,2023-03-15 00:49:00.686,2023.3.15,490.0,kubric-nightly,,,,,2.0,2.0,https://pypi.org/project/kubric-nightly,2022-07-06 00:47:00.000,,5158.0,5158.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +580,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 05:46:52.000,2022-04-29 15:26:19.000000,2020-08-19 14:58:00,113.0,,200,41.0,35.0,38.0,21.0,1763,Parallel t-SNE implementation with Python and Torch wrappers.,15.0,23,False,2017-11-08 13:32:20.000,0.0.1,3.0,MulticoreTSNE,conda-forge/multicore-tsne,,,['pytorch'],377.0,354.0,https://pypi.org/project/MulticoreTSNE,2019-01-09 07:23:04.000,23.0,3663.0,4099.0,https://anaconda.org/conda-forge/multicore-tsne,2021-11-09 17:22:51.512,22712.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +581,Talos,autonomio/talos,hyperopt,,https://github.com/autonomio/talos,https://github.com/autonomio/talos,MIT,2018-05-04 20:36:41.000,2022-09-18 16:01:21.000000,2022-09-18 16:01:20,637.0,,263,27.0,182.0,8.0,389.0,1586,"Hyperparameter Optimization for TensorFlow, Keras and PyTorch.",22.0,23,True,2022-05-28 10:07:13.000,1.3,17.0,talos,,,,['tensorflow'],166.0,159.0,https://pypi.org/project/talos,2022-05-28 10:07:34.000,7.0,990.0,990.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +582,Magnitude,plasticityai/magnitude,nn-search,,https://github.com/plasticityai/magnitude,https://github.com/plasticityai/magnitude,MIT,2018-02-24 07:28:16.000,2022-10-15 11:44:16.000000,2020-07-17 20:19:46,350.0,,110,37.0,10.0,32.0,51.0,1562,"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,,,,,290.0,279.0,https://pypi.org/project/pymagnitude,2020-05-25 11:26:36.000,11.0,3629.0,3629.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +583,Classy Vision,facebookresearch/ClassyVision,image,,https://github.com/facebookresearch/ClassyVision,https://github.com/facebookresearch/ClassyVision,MIT,2019-09-13 22:54:44.000,2023-03-06 11:13:01.000000,2022-09-27 11:17:00,419.0,,277,79.0,723.0,53.0,63.0,1536,An end-to-end PyTorch framework for image and video classification.,77.0,23,True,2021-07-19 20:08:51.000,0.6.0,17.0,classy_vision,conda-forge/classy_vision,,,['pytorch'],4.0,,https://pypi.org/project/classy_vision,2021-07-09 22:58:06.000,4.0,1345.0,1768.0,https://anaconda.org/conda-forge/classy_vision,2022-03-22 13:12:30.498,16080.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +584,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,,113,30.0,31.0,56.0,50.0,1506,higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather..,9.0,23,False,2020-07-14 12:20:32.000,0.2.1,2.0,higher,,,,['pytorch'],234.0,230.0,https://pypi.org/project/higher,2020-07-14 12:20:32.000,4.0,19781.0,19781.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +585,promptsource,bigscience-workshop/promptsource,nlp,,https://github.com/bigscience-workshop/promptsource,https://github.com/bigscience-workshop/promptsource,Apache-2.0,2021-05-19 15:26:25.000,2023-02-26 04:43:27.000000,2023-01-20 00:31:49,748.0,1.0,213,22.0,689.0,23.0,138.0,1398,"Toolkit for creating, sharing and using natural language prompts.",59.0,23,True,2022-07-02 17:57:17.000,0.2.3,5.0,promptsource,,,,,34.0,34.0,https://pypi.org/project/promptsource,2022-04-18 22:31:03.000,,4172.0,4172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +586,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,,407,90.0,165.0,103.0,224.0,1325,[unmaintained] An open-source convolutional neural networks platform for research in medical image analysis and image-..,59.0,23,False,2019-10-10 10:59:33.000,0.6.0,11.0,niftynet,,,,['tensorflow'],42.0,41.0,https://pypi.org/project/niftynet,2019-10-10 10:59:33.000,1.0,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +587,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,,161,33.0,22.0,42.0,34.0,1216,"Transpile trained scikit-learn estimators to C, Java, JavaScript and others.",12.0,23,True,2019-12-18 13:39:19.000,0.7.4,20.0,sklearn-porter,,,,['sklearn'],50.0,49.0,https://pypi.org/project/sklearn-porter,2019-12-18 13:39:19.000,1.0,517.0,517.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +588,Sockeye,awslabs/sockeye,nlp,,https://github.com/awslabs/sockeye,https://github.com/awslabs/sockeye,Apache-2.0,2017-06-08 07:44:30.000,2023-03-03 07:51:00.411000,2023-03-02 23:03:48,828.0,5.0,329,53.0,784.0,2.0,295.0,1162,Sequence-to-sequence framework with a focus on Neural Machine Translation based on PyTorch.,59.0,23,True,2023-03-03 07:51:00.411,3.1.34,85.0,sockeye,,,,['mxnet'],2.0,,https://pypi.org/project/sockeye,2023-03-03 07:51:00.411,2.0,762.0,762.0,,,,,,,,3.0,16.0,,,,,,,,,,,,,,,,,,, +589,RLax,deepmind/rlax,reinforcement-learning,,https://github.com/deepmind/rlax,https://github.com/deepmind/rlax,Apache-2.0,2020-02-18 07:14:59.000,2023-03-14 11:55:34.000000,2023-03-06 15:11:43,197.0,6.0,71,32.0,97.0,15.0,18.0,987,A library of reinforcement learning building blocks in JAX.,21.0,23,True,2023-01-09 22:29:35.947,0.1.5,9.0,rlax,,,,['jax'],111.0,108.0,https://pypi.org/project/rlax,2023-01-09 22:29:35.947,3.0,4174.0,4174.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +590,icevision,airctic/icevision,image,,https://github.com/airctic/icevision,https://github.com/airctic/icevision,Apache-2.0,2020-05-04 01:57:02.000,2023-01-17 06:54:34.000000,2022-12-07 13:45:45,1234.0,,133,25.0,593.0,58.0,510.0,809,"An Agnostic Computer Vision Framework - Pluggable to any Training Library: Fastai, Pytorch-Lightning with more to come.",41.0,23,True,2022-02-10 15:54:11.000,0.12.0,41.0,icevision,,,,,5.0,,https://pypi.org/project/icevision,2022-02-10 15:54:11.000,5.0,3835.0,3835.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +591,nnAudio,KinWaiCheuk/nnAudio,audio,,https://github.com/KinWaiCheuk/nnAudio,https://github.com/KinWaiCheuk/nnAudio,MIT,2019-09-02 04:31:14.000,2023-03-16 02:07:38.000000,2023-03-16 02:07:38,299.0,17.0,81,19.0,69.0,12.0,42.0,803,Audio processing by using pytorch 1D convolution network.,14.0,23,True,2022-10-09 13:50:13.300,0.3.2,39.0,nnAudio,,,,,83.0,82.0,https://pypi.org/project/nnAudio,2022-10-09 13:50:13.300,1.0,2101.0,2101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +592,mlens,flennerhag/mlens,others,,https://github.com/flennerhag/mlens,https://github.com/flennerhag/mlens,MIT,2017-01-10 20:53:47.000,2023-02-24 08:19:47.000000,2020-02-25 14:31:53,879.0,,98,30.0,58.0,14.0,74.0,776,ML-Ensemble high performance ensemble learning.,7.0,23,False,2018-10-30 22:34:35.000,0.2.3,14.0,mlens,,,,,265.0,262.0,https://pypi.org/project/mlens,2018-10-30 22:30:43.000,3.0,2620.0,2620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +593,hls4ml,fastmachinelearning/hls4ml,model-serialisation,,https://github.com/fastmachinelearning/hls4ml,https://github.com/fastmachinelearning/hls4ml,Apache-2.0,2017-10-25 21:43:56.000,2023-03-14 18:19:05.000000,2023-03-10 15:28:34,1481.0,20.0,289,56.0,356.0,138.0,210.0,769,Machine learning on FPGAs using HLS.,49.0,23,True,2021-11-12 12:26:50.000,0.6.0,10.0,hls4ml,conda-forge/hls4ml,,,"['tensorflow', 'pytorch']",,,https://pypi.org/project/hls4ml,2021-11-12 12:26:50.000,,642.0,815.0,https://anaconda.org/conda-forge/hls4ml,2021-11-12 15:38:42.855,5216.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +594,gmaps,pbugnion/gmaps,geospatial-data,,https://github.com/pbugnion/gmaps,https://github.com/pbugnion/gmaps,BSD-3-Clause,2014-12-01 09:12:06.000,2022-04-15 13:31:22.000000,2019-07-22 06:22:45,1380.0,,147,25.0,154.0,71.0,137.0,751,Google maps for Jupyter notebooks.,16.0,23,False,2019-07-21 08:49:48.715,0.9.0,95.0,gmaps,conda-forge/gmaps,,,['jupyter'],47.0,3.0,https://pypi.org/project/gmaps,2021-12-15 15:42:57.506,44.0,6623.0,12346.0,https://anaconda.org/conda-forge/gmaps,2019-08-02 11:56:50.940,291955.0,,,,,3.0,,,,jupyter-gmaps,https://www.npmjs.com/package/jupyter-gmaps,2019-07-21 08:49:48.715,,1553.0,,,,,,,,,,,, +595,Cornac,PreferredAI/cornac,recommender-systems,,https://github.com/PreferredAI/cornac,https://github.com/PreferredAI/cornac,Apache-2.0,2018-07-17 06:31:35.000,2022-11-10 16:57:33.231000,2022-10-18 18:19:12,1236.0,,114,25.0,384.0,10.0,108.0,701,A Comparative Framework for Multimodal Recommender Systems.,15.0,23,True,2022-02-19 03:50:02.000,1.14.2,46.0,cornac,conda-forge/cornac,,,,166.0,150.0,https://pypi.org/project/cornac,2022-02-19 03:50:02.000,16.0,29546.0,35486.0,https://anaconda.org/conda-forge/cornac,2022-11-10 16:57:33.231,273267.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +596,TSFEL,fraunhoferportugal/tsfel,time-series-data,,https://github.com/fraunhoferportugal/tsfel,https://github.com/fraunhoferportugal/tsfel,BSD-3-Clause,2019-01-09 16:41:30.000,2023-03-15 17:55:38.000000,2023-03-02 14:58:53,291.0,9.0,117,20.0,70.0,19.0,47.0,629,An intuitive library to extract features from time series.,17.0,23,True,2023-03-02 15:05:51.000,0.1.5,9.0,tsfel,,,,,73.0,73.0,https://pypi.org/project/tsfel,2021-02-14 17:40:32.000,,10461.0,10461.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +597,Mapbox GL,mapbox/mapboxgl-jupyter,geospatial-data,,https://github.com/mapbox/mapboxgl-jupyter,https://github.com/mapbox/mapboxgl-jupyter,MIT,2017-08-08 15:10:51.000,2022-01-11 05:18:07.000000,2021-04-19 05:00:36,221.0,,138,120.0,91.0,42.0,67.0,626,Use Mapbox GL JS to visualize data in a Python Jupyter notebook.,21.0,23,False,2019-06-03 21:24:10.000,0.10.2,20.0,mapboxgl,,,,['jupyter'],166.0,151.0,https://pypi.org/project/mapboxgl,2019-06-02 15:18:57.000,15.0,19453.0,19453.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +598,BioPandas,rasbt/biopandas,others,,https://github.com/BioPandas/biopandas,https://github.com/BioPandas/biopandas,BSD-3-Clause,2015-11-21 00:00:14.000,2023-03-11 18:43:01.501000,2023-01-29 17:34:29,278.0,13.0,104,18.0,62.0,17.0,30.0,583,Working with molecular structures in pandas DataFrames.,9.0,23,True,2022-05-13 14:32:21.000,0.4.1,17.0,biopandas,conda-forge/biopandas,,,['pandas'],176.0,158.0,https://pypi.org/project/biopandas,2022-05-13 14:32:21.000,18.0,7862.0,9623.0,https://anaconda.org/conda-forge/biopandas,2023-03-11 18:43:01.501,132147.0,,,,,3.0,,,,,,,,,,,,BioPandas/biopandas,,,,,,,, +599,pySBD,nipunsadvilkar/pySBD,nlp,,https://github.com/nipunsadvilkar/pySBD,https://github.com/nipunsadvilkar/pySBD,MIT,2017-06-11 06:15:20.000,2022-07-22 20:34:33.000000,2021-02-11 16:40:18,279.0,,65,10.0,47.0,16.0,52.0,582,pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.,6.0,23,False,2021-02-11 16:42:37.000,0.3.4,15.0,pysbd,conda-forge/pysbd,,,,574.0,571.0,https://pypi.org/project/pysbd,2021-02-11 16:36:33.000,3.0,97318.0,97513.0,https://anaconda.org/conda-forge/pysbd,2021-10-11 20:47:46.408,3325.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +600,dstack,dstackai/dstack,others,,https://github.com/dstackai/dstack,https://github.com/dstackai/dstack,MPL-2.0,2022-01-04 10:29:46.000,2023-03-16 14:05:05.000000,2023-03-16 12:46:00,738.0,297.0,34,13.0,70.0,31.0,152.0,581,Define ML workflows as code and run via CLI. Use any cloud. Collaborate within teams.,10.0,23,True,2023-03-09 03:05:43.000,0.2,103.0,dstack,,,,,11.0,11.0,https://pypi.org/project/dstack,2022-06-29 12:25:08.000,,939.0,939.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +601,pivottablejs,nicolaskruchten/jupyter_pivottablejs,data-viz,,https://github.com/nicolaskruchten/jupyter_pivottablejs,https://github.com/nicolaskruchten/jupyter_pivottablejs,MIT,2015-09-09 13:39:18.000,2023-03-16 14:09:45.996000,2018-12-04 14:43:25,32.0,,67,22.0,7.0,20.0,41.0,536,"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'],330.0,308.0,https://pypi.org/project/pivottablejs,2018-01-15 18:14:37.000,22.0,28971.0,28995.0,https://anaconda.org/anaconda/pivottablejs,2023-03-16 14:09:45.996,2099.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +602,MedPy,loli/medpy,medical-data,,https://github.com/loli/medpy,https://github.com/loli/medpy,GPL-3.0,2012-05-11 10:57:34.000,2023-01-31 22:20:04.000000,2022-11-17 11:12:46,327.0,,124,18.0,32.0,13.0,70.0,467,Medical image processing in Python.,16.0,23,False,2019-02-14 17:12:59.000,0.4.0,6.0,MedPy,conda-forge/medpy,,,,1069.0,1030.0,https://pypi.org/project/MedPy,2019-02-14 17:12:59.000,39.0,16067.0,16658.0,https://anaconda.org/conda-forge/medpy,2022-10-31 22:33:53.320,12425.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +603,findspark,minrk/findspark,others,,https://github.com/minrk/findspark,https://github.com/minrk/findspark,BSD-3-Clause,2015-06-12 21:34:06.000,2022-02-11 17:17:32.393000,2022-02-11 07:59:35,77.0,,72,8.0,17.0,11.0,11.0,466,Find pyspark to make it importable.,15.0,23,False,2022-02-11 08:02:06.000,2.0.1,14.0,findspark,conda-forge/findspark,,,['spark'],3384.0,3241.0,https://pypi.org/project/findspark,2022-02-11 08:02:06.000,143.0,2291380.0,2301189.0,https://anaconda.org/conda-forge/findspark,2022-02-11 17:17:32.393,794564.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +604,Hyperactive,SimonBlanke/Hyperactive,hyperopt,,https://github.com/SimonBlanke/Hyperactive,https://github.com/SimonBlanke/Hyperactive,MIT,2018-11-01 08:53:30.000,2023-03-04 12:33:20.000000,2023-03-04 12:33:08,2210.0,55.0,39,11.0,9.0,9.0,47.0,433,An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.,7.0,23,True,2023-03-01 11:44:32.000,4.4.0,70.0,hyperactive,,,,,21.0,17.0,https://pypi.org/project/hyperactive,2023-01-04 12:37:10.736,4.0,685.0,687.0,,,,,,,,3.0,110.0,,,,,,,,,,,,,,,,,,, +605,small-text,webis-de/small-text,nlp,,https://github.com/webis-de/small-text,https://github.com/webis-de/small-text,MIT,2021-05-24 08:06:41.000,2023-02-28 18:38:18.000000,2023-02-21 21:04:00,418.0,70.0,44,25.0,2.0,7.0,21.0,425,Active Learning for Text Classification in Python.,3.0,23,True,2023-02-21 21:15:04.000,1.3.0,17.0,small-text,conda-forge/small-text,,,"['sklearn', 'pytorch']",18.0,18.0,https://pypi.org/project/small-text,2022-10-14 20:40:17.455,,645.0,879.0,https://anaconda.org/conda-forge/small-text,2023-02-21 21:43:12.891,1875.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +606,Auto ViML,AutoViML/Auto_ViML,hyperopt,,https://github.com/AutoViML/Auto_ViML,https://github.com/AutoViML/Auto_ViML,Apache-2.0,2019-06-10 13:09:15.000,2023-03-08 14:51:15.000000,2023-03-08 14:50:53,316.0,15.0,85,25.0,6.0,5.0,23.0,421,Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome...,8.0,23,True,2023-03-08 13:57:18.985,0.1.713,139.0,autoviml,,,,,23.0,21.0,https://pypi.org/project/autoviml,2022-06-01 23:08:15.000,2.0,2505.0,2505.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +607,optunity,claesenm/optunity,hyperopt,,https://github.com/claesenm/optunity,https://github.com/claesenm/optunity,BSD-3-Clause,2014-05-28 17:29:11.000,2023-02-13 14:39:22.000000,2020-05-11 14:32:38,782.0,,77,25.0,11.0,48.0,49.0,402,optimization routines for hyperparameter tuning.,9.0,23,False,2015-09-30 05:02:00.000,1.1.1,6.0,optunity,,,,,110.0,96.0,https://pypi.org/project/optunity,2015-09-30 05:02:00.000,14.0,10284.0,10284.0,,,,,,,,3.0,68.0,,,,,,,,,,,,,,,,,,, +608,carefree-learn,carefree0910/carefree-learn,tabular,,https://github.com/carefree0910/carefree-learn,https://github.com/carefree0910/carefree-learn,MIT,2020-06-17 17:44:17.000,2023-03-16 13:19:08.000000,2023-03-16 13:19:05,4417.0,271.0,37,11.0,1.0,,80.0,391,Deep Learning PyTorch.,1.0,23,True,2023-02-03 02:57:00.331,0.3.4,92.0,carefree-learn,,,,['pytorch'],3.0,3.0,https://pypi.org/project/carefree-learn,2022-06-20 12:19:50.000,,1981.0,1981.0,,,,,,,,1.0,,,,,,,,,,,,,,,,,,,, +609,miceforest,AnotherSamWilson/miceforest,tabular,,https://github.com/AnotherSamWilson/miceforest,https://github.com/AnotherSamWilson/miceforest,MIT,2020-08-22 00:00:22.000,2022-12-12 15:14:00.508000,2022-12-12 14:53:36,244.0,,23,7.0,4.0,18.0,51.0,224,Multiple Imputation with LightGBM in Python.,6.0,23,False,2022-12-12 15:14:00.508,5.6.3,44.0,miceforest,conda-forge/miceforest,,,,58.0,56.0,https://pypi.org/project/miceforest,2022-12-12 15:14:00.508,2.0,103689.0,104055.0,https://anaconda.org/conda-forge/miceforest,2022-08-13 22:30:51.710,7331.0,,,,,1.0,,,,,,,,,,,,,,,,,,,, +610,Dejavu,worldveil/dejavu,audio,,https://github.com/worldveil/dejavu,https://github.com/worldveil/dejavu,MIT,2013-11-19 02:50:35.000,2022-07-02 09:54:39.000000,2020-06-03 05:58:03,146.0,,1379,264.0,66.0,115.0,130.0,6017,Audio fingerprinting and recognition in Python.,23.0,22,False,2015-04-19 21:20:16.000,0.1.3,4.0,PyDejavu,,,,,29.0,26.0,https://pypi.org/project/PyDejavu,2015-04-19 21:20:16.000,3.0,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +611,mace,XiaoMi/mace,ml-frameworks,,https://github.com/XiaoMi/mace,https://github.com/XiaoMi/mace,Apache-2.0,2018-06-27 03:50:12.000,2022-07-13 06:56:31.000000,2022-05-30 07:32:06,3344.0,,809,234.0,109.0,55.0,617.0,4749,MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.,67.0,22,True,2022-01-13 09:55:14.000,1.1.1,12.0,,,,,,,,,,,,26.0,,,,,,,,3.0,1480.0,,,,,,,,,,,,,,,,,,, +612,Crypto Signals,CryptoSignal/crypto-signal,financial-data,,https://github.com/CryptoSignal/Crypto-Signal,https://github.com/CryptoSignal/Crypto-Signal,MIT,2017-09-16 23:49:24.000,2022-12-14 05:20:03.000000,2022-08-09 13:26:32,565.0,,1157,305.0,202.0,59.0,205.0,4324,"Github.com/CryptoSignal - Trading & Technical Analysis Bot - 4,100+ stars, 1,100+ forks.",28.0,22,True,,,,,,shadowreaver/crypto-signal,,,,,,,,,2161.0,,,,https://hub.docker.com/r/shadowreaver/crypto-signal,2020-09-03 13:00:35.801133,8.0,142686.0,3.0,,,,,,,,,,,,,,,,,,,, +613,TensorForce,tensorforce/tensorforce,reinforcement-learning,,https://github.com/tensorforce/tensorforce,https://github.com/tensorforce/tensorforce,Apache-2.0,2017-03-19 16:24:22.000,2023-01-15 08:49:08.000000,2023-01-15 08:49:01,2100.0,1.0,525,146.0,234.0,28.0,630.0,3226,Tensorforce: a TensorFlow library for applied reinforcement learning.,82.0,22,True,2021-08-30 20:20:58.000,0.6.5,24.0,tensorforce,,,,['tensorflow'],,,https://pypi.org/project/tensorforce,2021-08-30 20:13:45.000,,1042.0,1042.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +614,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,,632,74.0,53.0,170.0,99.0,3195,Python package to easily retrain OpenAIs GPT-2 text-generating model on new texts.,21.0,22,True,2021-10-18 02:38:39.000,0.8.1,18.0,gpt-2-simple,,,,['tensorflow'],6.0,,https://pypi.org/project/gpt-2-simple,2021-10-18 01:47:20.000,6.0,7090.0,7098.0,,,,,,,,3.0,410.0,,,,,,,,,,,,,,,,,,, +615,TRFL,deepmind/trfl,reinforcement-learning,,https://github.com/deepmind/trfl,https://github.com/deepmind/trfl,Apache-2.0,2018-08-08 14:44:11.000,2022-12-08 18:07:05.000000,2021-08-16 11:45:18,123.0,,375,211.0,9.0,6.0,16.0,3139,TensorFlow Reinforcement Learning.,13.0,22,False,2021-08-16 12:19:16.000,1.2.0,5.0,trfl,,,,['tensorflow'],113.0,110.0,https://pypi.org/project/trfl,2021-08-16 12:19:16.000,3.0,3717.0,3717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +616,vissl,facebookresearch/vissl,image,,https://github.com/facebookresearch/vissl,https://github.com/facebookresearch/vissl,MIT,2020-04-09 19:40:33.000,2023-03-06 09:09:42.000000,2022-12-28 15:35:33,399.0,1.0,314,52.0,411.0,79.0,105.0,2981,"VISSL is FAIRs library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.",34.0,22,True,2021-11-02 17:21:02.000,0.1.6,6.0,vissl,,,,['pytorch'],16.0,15.0,https://pypi.org/project/vissl,2021-11-02 15:36:07.000,1.0,371.0,371.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +617,Texthero,jbesomi/texthero,nlp,,https://github.com/jbesomi/texthero,https://github.com/jbesomi/texthero,MIT,2020-04-06 15:16:05.000,2022-10-28 22:04:55.000000,2022-10-28 22:04:55,271.0,,230,43.0,108.0,81.0,64.0,2716,"Text preprocessing, representation and visualization from zero to hero.",20.0,22,True,2021-07-01 17:11:02.000,1.1.0,10.0,texthero,,,,,6.0,,https://pypi.org/project/texthero,2021-07-01 17:11:02.000,6.0,25440.0,25442.0,,,,,,,,3.0,100.0,,,,,,,,,,,,,,,,,,, +618,lightseq,bytedance/lightseq,nlp,,https://github.com/bytedance/lightseq,https://github.com/bytedance/lightseq,Apache-2.0,2019-12-06 08:25:24.000,2023-03-16 14:59:20.000000,2023-03-09 07:43:44,260.0,16.0,294,55.0,231.0,151.0,106.0,2616,LightSeq: A High Performance Library for Sequence Processing and Generation.,16.0,22,True,2022-11-03 06:46:55.989,3.0.1,22.0,lightseq,,,,,1.0,,https://pypi.org/project/lightseq,2022-11-03 06:46:55.989,1.0,930.0,946.0,,,,,,,,3.0,653.0,,,,,,,,,,,,,,,,,,, +619,analytics-zoo,intel-analytics/analytics-zoo,distributed-ml,,https://github.com/intel-analytics/analytics-zoo,https://github.com/intel-analytics/analytics-zoo,Apache-2.0,2017-05-05 02:27:30.000,2022-12-20 07:01:45.000000,2022-12-20 07:01:45,3442.0,1.0,722,104.0,3861.0,534.0,854.0,2555,"Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray.",108.0,22,True,2022-01-25 00:20:26.000,0.11.2,418.0,analytics-zoo,,,,['spark'],4.0,3.0,https://pypi.org/project/analytics-zoo,2022-08-22 20:19:01.213,1.0,398.0,398.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +620,Luminoth,tryolabs/luminoth,image,,https://github.com/tryolabs/luminoth,https://github.com/tryolabs/luminoth,BSD-3-Clause,2017-02-16 15:07:46.000,2022-11-21 22:17:12.000000,2020-01-07 20:53:25,838.0,,413,131.0,135.0,60.0,128.0,2392,Deep Learning toolkit for Computer Vision.,15.0,22,False,2018-11-09 21:35:17.000,0.2.3,10.0,luminoth,,,,['tensorflow'],44.0,42.0,https://pypi.org/project/luminoth,2018-11-09 21:35:17.000,2.0,637.0,831.0,,,,,,,,3.0,12644.0,,,,,,,,,,,,,,,,,,, +621,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,,381,78.0,144.0,36.0,126.0,2350,"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 04:11:18.000,2.0,75.0,75.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +622,sklearn-contrib-lightning,scikit-learn-contrib/lightning,sklearn-utils,,https://github.com/scikit-learn-contrib/lightning,https://github.com/scikit-learn-contrib/lightning,BSD-3-Clause,2012-01-11 13:53:52.000,2022-10-31 03:14:01.876000,2022-01-30 01:22:30,743.0,,209,39.0,110.0,54.0,42.0,1637,"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'],123.0,117.0,https://pypi.org/project/sklearn-contrib-lightning,2022-01-30 00:43:43.000,6.0,1331.0,3684.0,https://anaconda.org/conda-forge/sklearn-contrib-lightning,2022-10-31 03:14:01.876,187279.0,,,,,3.0,285.0,,,,,,,,,,,,,,,,,,, +623,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,,311,97.0,45.0,187.0,216.0,1601,[UNMAINTAINED] Automated machine learning for analytics & production.,13.0,22,False,2018-02-22 01:13:03.000,2.9.10,78.0,auto_ml,,,,,7.0,,https://pypi.org/project/auto_ml,2018-02-22 01:13:03.000,7.0,737.0,737.0,,,,,,,,3.0,42.0,,,,,,,,,,,,,,,,,,, +624,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,,188,29.0,423.0,11.0,162.0,1549,Graph4nlp is the library for the easy use of Graph Neural Networks for NLP. Welcome to visit our DLG4NLP website..,27.0,22,True,2022-01-20 18:07:32.000,0.5.5,11.0,graph4nlp,,,,['pytorch'],,,https://pypi.org/project/graph4nlp,2022-01-20 15:18:44.000,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +625,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,,202,44.0,12.0,4.0,51.0,1515,"Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS.",5.0,22,False,2021-07-08 19:05:05.000,1.0.2,10.0,geffnet,,,,['pytorch'],165.0,164.0,https://pypi.org/project/geffnet,2021-07-08 19:05:05.000,1.0,6129.0,6129.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +626,jiant,nyu-mll/jiant,nlp,,https://github.com/nyu-mll/jiant,https://github.com/nyu-mll/jiant,MIT,2018-06-18 18:12:47.000,2022-10-17 19:34:58.000000,2022-10-17 19:34:56,1930.0,,280,47.0,799.0,67.0,485.0,1490,jiant is an nlp toolkit.,59.0,22,True,2021-05-10 18:56:39.000,2.2.0,19.0,jiant,,,,,2.0,2.0,https://pypi.org/project/jiant,2021-05-10 18:56:39.000,,155.0,155.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +627,DIG,divelab/DIG,graph,,https://github.com/divelab/DIG,https://github.com/divelab/DIG,GPL-3.0,2020-10-30 03:51:15.000,2023-03-14 20:49:21.000000,2023-03-08 22:09:42,1000.0,16.0,227,34.0,30.0,18.0,148.0,1417,A library for graph deep learning research.,38.0,22,False,2022-07-14 07:05:26.000,1.0.0,10.0,dig,,,,,8.0,,https://pypi.org/project/dig,2015-08-23 10:30:20.000,8.0,516.0,516.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +628,MLBox,AxeldeRomblay/MLBox,hyperopt,,https://github.com/AxeldeRomblay/MLBox,https://github.com/AxeldeRomblay/MLBox,BSD-1-Clause,2017-06-01 16:59:24.000,2022-11-21 22:31:39.000000,2020-08-25 09:26:27,1121.0,,271,66.0,49.0,23.0,74.0,1398,MLBox is a powerful Automated Machine Learning python library.,9.0,22,False,2020-08-25 09:32:37.000,0.8.5,21.0,mlbox,,,,,30.0,30.0,https://pypi.org/project/mlbox,2020-08-25 09:32:37.000,,1515.0,1515.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +629,tensorrec,jfkirk/tensorrec,recommender-systems,,https://github.com/jfkirk/tensorrec,https://github.com/jfkirk/tensorrec,Apache-2.0,2017-02-28 18:51:11.000,2022-11-22 02:20:39.000000,2020-02-04 21:10:25,334.0,,223,65.0,47.0,36.0,90.0,1226,A TensorFlow recommendation algorithm and framework in Python.,9.0,22,False,2019-04-02 00:53:47.000,0.26.2,30.0,tensorrec,,,,['tensorflow'],32.0,29.0,https://pypi.org/project/tensorrec,2019-04-02 00:53:47.000,3.0,1910.0,1910.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +630,advertorch,BorealisAI/advertorch,adversarial,,https://github.com/BorealisAI/advertorch,https://github.com/BorealisAI/advertorch,GPL-3.0,2018-11-29 22:17:33.000,2022-05-29 19:09:18.000000,2022-05-29 19:09:18,309.0,,177,27.0,56.0,19.0,35.0,1144,A Toolbox for Adversarial Robustness Research.,21.0,22,False,2020-06-15 01:20:07.000,0.2.3,10.0,advertorch,,,,['pytorch'],108.0,104.0,https://pypi.org/project/advertorch,2020-06-15 01:20:07.000,4.0,525.0,525.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +631,keract,philipperemy/keract,interpretability,,https://github.com/philipperemy/keract,https://github.com/philipperemy/keract,MIT,2017-05-17 04:50:57.000,2022-11-03 10:24:40.000000,2022-11-03 10:24:40,401.0,,184,33.0,70.0,3.0,86.0,1013,Layers Outputs and Gradients in Keras. Made easy.,16.0,22,True,2022-09-25 14:40:40.377,4.5.1,39.0,keract,,,,['tensorflow'],173.0,167.0,https://pypi.org/project/keract,2022-09-25 14:40:40.377,6.0,7361.0,7361.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +632,NGT,yahoojapan/NGT,nn-search,,https://github.com/yahoojapan/NGT,https://github.com/yahoojapan/NGT,Apache-2.0,2016-09-01 07:36:57.000,2023-02-13 06:17:42.000000,2023-02-13 06:10:01,163.0,5.0,100,36.0,22.0,15.0,96.0,977,Nearest Neighbor Search with Neighborhood Graph and Tree for High-dimensional Data.,14.0,22,True,2023-01-06 04:55:10.000,2.0.9,66.0,ngt,,,,,8.0,,https://pypi.org/project/ngt,2022-09-21 23:07:01.601,8.0,17570.0,17570.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +633,GPUtil,anderskm/gputil,gpu-utilities,,https://github.com/anderskm/gputil,https://github.com/anderskm/gputil,MIT,2017-01-16 11:57:43.000,2022-07-28 04:39:33.000000,2019-08-16 09:00:15,140.0,,99,12.0,18.0,13.0,14.0,952,A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python.,13.0,22,False,2018-12-18 09:12:13.000,1.4.0,8.0,gputil,,,,,3263.0,3167.0,https://pypi.org/project/gputil,2018-12-18 09:12:13.000,96.0,283738.0,283738.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +634,AstroML,astroML/astroML,others,,https://github.com/astroML/astroML,https://github.com/astroML/astroML,BSD-2-Clause,2012-10-17 22:33:50.000,2022-12-12 08:52:31.000000,2022-12-12 08:52:31,580.0,,281,94.0,119.0,62.0,94.0,887,"Machine learning, statistics, and data mining for astronomy and astrophysics.",30.0,22,True,2022-01-25 21:56:31.000,1.0.2,13.0,astroML,conda-forge/astroml,,,['sklearn'],33.0,,https://pypi.org/project/astroML,2022-03-01 20:02:01.000,33.0,1663.0,2196.0,https://anaconda.org/conda-forge/astroml,2022-03-02 04:14:21.434,35721.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +635,kapre,keunwoochoi/kapre,audio,,https://github.com/keunwoochoi/kapre,https://github.com/keunwoochoi/kapre,MIT,2016-12-14 18:36:36.000,2022-07-04 00:10:02.000000,2022-07-04 00:10:02,195.0,,144,22.0,45.0,14.0,82.0,875,kapre: Keras Audio Preprocessors.,13.0,22,True,2022-01-21 20:10:47.000,Kapre-0.3.7,24.0,kapre,,,,['tensorflow'],2171.0,2157.0,https://pypi.org/project/kapre,2022-01-21 20:09:21.000,14.0,3172.0,3172.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,, +636,YouTokenToMe,vkcom/youtokentome,nlp,,https://github.com/VKCOM/YouTokenToMe,https://github.com/VKCOM/YouTokenToMe,MIT,2019-06-06 11:38:28.000,2023-03-10 16:36:59.000000,2023-03-10 16:36:59,83.0,2.0,69,24.0,50.0,36.0,24.0,857,Unsupervised text tokenizer focused on computational efficiency.,8.0,22,True,2020-02-13 09:57:47.000,1.0.6,14.0,youtokentome,conda-forge/youtokentome,,,,410.0,388.0,https://pypi.org/project/youtokentome,2020-02-12 18:24:46.000,22.0,24527.0,25952.0,https://anaconda.org/conda-forge/youtokentome,2022-10-30 19:53:58.371,25665.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +637,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 20:26:10.000,2022-12-10 12:18:17.000000,2022-01-05 20:19:46,328.0,,151,29.0,104.0,80.0,56.0,788,Source code/webpage/demos for the What-If Tool.,20.0,22,False,2021-10-12 17:42:50.869,1.8.1,40.0,witwidget,conda-forge/tensorboard-plugin-wit,,,,5.0,,https://pypi.org/project/witwidget,2021-10-12 17:42:30.000,4.0,10014.0,62013.0,https://anaconda.org/conda-forge/tensorboard-plugin-wit,2022-01-06 08:51:02.032,1681026.0,,,,,3.0,,,,wit-widget,https://www.npmjs.com/package/wit-widget,2021-10-12 17:42:50.869,1.0,1059.0,,,,,,,,,,,, +638,iterative-stratification,trent-b/iterative-stratification,sklearn-utils,,https://github.com/trent-b/iterative-stratification,https://github.com/trent-b/iterative-stratification,BSD-3-Clause,2018-02-04 00:32:10.000,2022-06-06 22:38:33.000000,2022-06-06 22:38:33,57.0,,69,6.0,5.0,4.0,22.0,756,scikit-learn cross validators for iterative stratification of multilabel data.,7.0,22,True,2021-10-03 18:49:49.000,0.1.7,6.0,iterative-stratification,,,,['sklearn'],297.0,287.0,https://pypi.org/project/iterative-stratification,2021-10-03 18:49:49.000,10.0,71587.0,71587.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +639,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,,73,24.0,37.0,25.0,21.0,732,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,,,,,12.0,,https://pypi.org/project/test_tube,2019-12-01 01:19:50.000,12.0,131868.0,131868.0,,,,,,,,3.0,14.0,,,,,,,,,,,,,,,,,,, +640,TreeInterpreter,andosa/treeinterpreter,interpretability,,https://github.com/andosa/treeinterpreter,https://github.com/andosa/treeinterpreter,BSD-3-Clause,2015-08-02 20:26:21.000,2021-02-28 18:33:06.000000,2021-02-28 18:33:06,37.0,,137,26.0,17.0,24.0,4.0,722,Package for interpreting scikit-learns decision tree and random forest predictions.,11.0,22,False,2021-01-10 20:12:39.000,0.2.3,5.0,treeinterpreter,conda-forge/treeinterpreter,,,['sklearn'],388.0,378.0,https://pypi.org/project/treeinterpreter,2021-01-10 20:12:39.000,10.0,105620.0,105708.0,https://anaconda.org/conda-forge/treeinterpreter,2020-10-03 05:29:07.840,2562.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +641,Baal,baal-org/baal,probabilistics,,https://github.com/baal-org/baal,https://github.com/baal-org/baal,Apache-2.0,2019-09-30 20:16:26.000,2023-03-09 17:32:46.000000,2023-02-25 20:24:43,196.0,5.0,70,19.0,138.0,24.0,70.0,719,Library to enable Bayesian active learning in your research or labeling work.,19.0,22,True,2022-10-28 21:55:27.000,1.7.0,16.0,baal,conda-forge/baal,,,,49.0,48.0,https://pypi.org/project/baal,2022-10-28 21:54:04.326,1.0,1378.0,1559.0,https://anaconda.org/conda-forge/baal,2022-10-31 01:52:41.875,4723.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +642,vecstack,vecxoz/vecstack,others,,https://github.com/vecxoz/vecstack,https://github.com/vecxoz/vecstack,MIT,2016-11-08 13:23:21.000,2021-05-23 07:15:46.567000,2019-10-30 09:27:48,189.0,,79,21.0,12.0,,38.0,669,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,,,,283.0,276.0,https://pypi.org/project/vecstack,2019-08-12 16:01:22.000,7.0,8433.0,8490.0,https://anaconda.org/conda-forge/vecstack,2021-05-23 07:15:46.567,1270.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +643,HpBandSter,automl/HpBandSter,hyperopt,,https://github.com/automl/HpBandSter,https://github.com/automl/HpBandSter,BSD-3-Clause,2017-12-17 20:28:20.000,2022-10-16 06:18:34.000000,2022-04-22 06:33:31,188.0,,110,27.0,23.0,57.0,35.0,562,a distributed Hyperband implementation on Steroids.,11.0,22,True,2019-07-30 12:47:43.000,1.0,8.0,hpbandster,conda-forge/hpbandster,,,,340.0,330.0,https://pypi.org/project/hpbandster,2018-11-06 12:56:55.000,10.0,16743.0,17030.0,https://anaconda.org/conda-forge/hpbandster,2020-12-11 15:57:39.186,7752.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +644,random-forest-importances,parrt/random-forest-importances,interpretability,,https://github.com/parrt/random-forest-importances,https://github.com/parrt/random-forest-importances,MIT,2018-03-22 19:20:13.000,2021-01-30 21:50:08.000000,2021-01-30 21:50:02,249.0,,126,22.0,18.0,8.0,29.0,546,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'],124.0,119.0,https://pypi.org/project/rfpimp,2021-01-28 23:19:33.000,5.0,34547.0,34547.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +645,skope-rules,scikit-learn-contrib/skope-rules,sklearn-utils,,https://github.com/scikit-learn-contrib/skope-rules,https://github.com/scikit-learn-contrib/skope-rules,BSD-1-Clause,2018-02-18 13:42:47.000,2023-02-14 11:18:28.000000,2023-02-14 11:18:28,249.0,1.0,82,25.0,31.0,28.0,6.0,522,machine learning with logical rules in Python.,19.0,22,False,2020-12-11 09:37:02.000,1.0.1,4.0,skope-rules,,,,['sklearn'],201.0,196.0,https://pypi.org/project/skope-rules,2020-01-25 12:01:37.000,5.0,64148.0,64148.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +646,pydlm,wwrechard/pydlm,time-series-data,,https://github.com/wwrechard/pydlm,https://github.com/wwrechard/pydlm,BSD-3-Clause,2016-06-29 07:58:53.000,2023-03-05 03:48:28.000000,2019-10-22 07:18:40,362.0,,94,29.0,12.0,39.0,8.0,441,A python library for Bayesian time series modeling.,6.0,22,False,2016-11-06 01:43:35.000,0.1.1,13.0,pydlm,,,,,30.0,28.0,https://pypi.org/project/pydlm,2018-12-19 10:27:54.000,2.0,86592.0,86592.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +647,Popmon,ing-bank/popmon,data-viz,,https://github.com/ing-bank/popmon,https://github.com/ing-bank/popmon,MIT,2020-04-23 11:21:14.000,2023-02-16 17:51:36.000000,2023-02-15 18:07:44,492.0,7.0,31,12.0,213.0,15.0,34.0,431,Monitor the stability of a Pandas or Spark dataframe.,16.0,22,True,2022-10-19 14:35:12.590,1.4.0,32.0,popmon,,,,"['pandas', 'spark']",21.0,19.0,https://pypi.org/project/popmon,2022-10-19 14:35:12.590,2.0,17097.0,17098.0,,,,,,,,3.0,43.0,,,,,,,,,,,,,,,,,,, +648,tick,X-DataInitiative/tick,time-series-data,,https://github.com/X-DataInitiative/tick,https://github.com/X-DataInitiative/tick,BSD-3-Clause,2016-12-01 10:59:08.000,2023-03-05 16:57:13.000000,2023-03-05 00:16:57,419.0,4.0,91,34.0,276.0,64.0,170.0,415,"Module for statistical learning, with a particular emphasis on time-dependent modelling.",18.0,22,True,2019-09-11 11:25:15.000,0.6,23.0,tick,,,,,69.0,68.0,https://pypi.org/project/tick,2020-05-24 22:01:17.000,1.0,1163.0,1166.0,,,,,,,,3.0,246.0,,,,,,,,,,,,,,,,,,, +649,happy-transformer,EricFillion/happy-transformer,nlp,,https://github.com/EricFillion/happy-transformer,https://github.com/EricFillion/happy-transformer,Apache-2.0,2019-10-06 22:02:12.000,2023-01-31 02:48:57.000000,2022-10-31 15:00:35,982.0,,51,7.0,200.0,24.0,95.0,402,A package built on top of Hugging Faces transformers library that makes it easy to utilize state-of-the-art NLP models.,14.0,22,True,2022-02-06 06:58:53.000,2.4.1,39.0,happytransformer,,,,['huggingface'],125.0,123.0,https://pypi.org/project/happytransformer,2022-02-06 06:54:52.000,2.0,10459.0,10459.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +650,sklearn-evaluation,edublancas/sklearn-evaluation,interpretability,,https://github.com/edublancas/sklearn-evaluation,https://github.com/edublancas/sklearn-evaluation,MIT,2023-01-15 21:18:52.000,2023-03-07 19:42:00.442000,2023-01-13 21:57:34,832.0,82.0,41,,,,,357,"Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook..",19.0,22,True,2023-03-07 19:42:00.442,0.11.4,47.0,sklearn-evaluation,,,,['sklearn'],5.0,,https://pypi.org/project/sklearn-evaluation,2023-03-07 19:42:00.442,5.0,73544.0,73544.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +651,lightwood,mindsdb/lightwood,hyperopt,,https://github.com/mindsdb/lightwood,https://github.com/mindsdb/lightwood,GPL-3.0,2019-05-20 21:31:14.000,2023-03-15 03:42:07.000000,2023-03-13 20:51:21,5359.0,94.0,77,10.0,684.0,48.0,389.0,340,Lightwood is Legos for Machine Learning.,37.0,22,False,2023-03-14 22:42:13.000,23.3.2.0,192.0,lightwood,,,,['pytorch'],2.0,,https://pypi.org/project/lightwood,2023-01-17 16:58:00.484,2.0,6620.0,6620.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +652,scikit-posthocs,maximtrp/scikit-posthocs,probabilistics,,https://github.com/maximtrp/scikit-posthocs,https://github.com/maximtrp/scikit-posthocs,MIT,2017-06-22 19:41:37.000,2023-03-15 21:42:39.000000,2023-03-15 21:42:34,498.0,11.0,34,6.0,10.0,5.0,42.0,272,Multiple Pairwise Comparisons (Post Hoc) Tests in Python.,12.0,22,False,2022-05-07 07:58:05.000,0.7.0,22.0,scikit-posthocs,conda-forge/scikit-posthocs,,,['sklearn'],21.0,,https://pypi.org/project/scikit-posthocs,2022-05-07 07:58:05.000,21.0,34911.0,44521.0,https://anaconda.org/conda-forge/scikit-posthocs,2022-05-08 18:15:36.676,278709.0,,,,,3.0,27.0,,2.0,,,,,,,,,,,,,,,,, +653,lkpy,lenskit/lkpy,recommender-systems,,https://github.com/lenskit/lkpy,https://github.com/lenskit/lkpy,MIT,2018-06-08 21:05:10.000,2023-03-01 01:18:37.000000,2023-03-01 01:18:29,2450.0,4.0,56,8.0,221.0,28.0,71.0,229,Python recommendation toolkit.,13.0,22,False,2022-08-16 20:29:07.512,0.14.2,23.0,lenskit,conda-forge/lenskit,,,,82.0,80.0,https://pypi.org/project/lenskit,2022-08-16 20:29:07.512,2.0,1233.0,1849.0,https://anaconda.org/conda-forge/lenskit,2022-08-17 15:08:24.355,17267.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +654,Backtesting.py,kernc/backtesting.py,financial-data,,https://github.com/kernc/backtesting.py,https://github.com/kernc/backtesting.py,AGPL-3.0,2019-01-02 03:11:32.000,2023-03-02 04:50:53.000000,2023-01-15 11:37:16,279.0,2.0,656,94.0,76.0,71.0,320.0,3381,Backtest trading strategies in Python.,19.0,21,False,2021-12-13 01:36:44.000,0.3.3,21.0,backtesting,,,,,,,https://pypi.org/project/backtesting,2021-12-13 01:36:44.000,,11021.0,11021.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +655,TensorWatch,microsoft/tensorwatch,ml-experiments,,https://github.com/microsoft/tensorwatch,https://github.com/microsoft/tensorwatch,MIT,2019-05-15 08:29:34.000,2021-04-13 09:44:02.000000,2021-01-15 19:46:05,112.0,,357,103.0,14.0,53.0,16.0,3295,"Debugging, monitoring and visualization for Python Machine Learning and Data Science.",13.0,21,False,2020-03-04 07:26:22.000,0.9.1,14.0,tensorwatch,,,,,110.0,103.0,https://pypi.org/project/tensorwatch,2020-03-04 07:26:22.000,7.0,2487.0,2487.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +656,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,,454,170.0,120.0,22.0,112.0,2892,A model library for exploring state-of-the-art deep learning topologies and techniques for optimizing Natural Language..,38.0,21,True,2020-11-17 12:32:37.000,0.5.5.1,13.0,nlp-architect,,,,,9.0,9.0,https://pypi.org/project/nlp-architect,2020-04-12 11:34:38.000,,163.0,163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +657,StreamAlert,airbnb/streamalert,others,,https://github.com/airbnb/streamalert,https://github.com/airbnb/streamalert,Apache-2.0,2017-01-22 01:10:56.000,2023-02-16 01:29:17.000000,2022-07-20 20:54:36,1904.0,,322,102.0,998.0,84.0,260.0,2767,"StreamAlert is a serverless, realtime data analysis framework which empowers you to ingest, analyze, and alert on data..",33.0,21,True,2021-11-04 19:07:51.000,3.5.0,28.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +658,Apache Singa,apache/singa,distributed-ml,,https://github.com/apache/singa,https://github.com/apache/singa,Apache-2.0,2015-04-02 07:00:05.000,2023-03-15 03:07:20.000000,2022-06-01 08:52:55,2472.0,,878,131.0,955.0,38.0,64.0,2752,a distributed deep learning platform.,79.0,21,True,2020-04-21 08:01:08.000,3.0.0,16.0,,nusdbsystem/singa,apache/singa,,,2.0,2.0,,,,,36.0,https://anaconda.org/nusdbsystem/singa,2021-08-09 13:10:26.397,603.0,https://hub.docker.com/r/apache/singa,2022-05-31 15:24:19.649658,4.0,2753.0,3.0,,,,,,,,,,,,,,,,,,,, +659,DeepWalk,phanein/deepwalk,graph,,https://github.com/phanein/deepwalk,https://github.com/phanein/deepwalk,GPL-3.0,2014-08-23 03:38:20.000,2022-12-22 08:43:18.000000,2020-04-02 01:05:35,46.0,,810,87.0,28.0,37.0,80.0,2533,DeepWalk - Deep Learning for Graphs.,10.0,21,False,2018-04-29 21:05:18.000,1.0.3,4.0,deepwalk,,,,,67.0,60.0,https://pypi.org/project/deepwalk,2018-04-29 21:05:18.000,7.0,2336.0,2336.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +660,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,,351,86.0,4.0,3.0,18.0,2041,A set of tools for extracting tables from PDF files helping to do data mining on (OCR-processed) scanned documents.,3.0,21,True,2018-01-09 08:00:24.000,0.3.0,5.0,pdftabextract,,,,,43.0,42.0,https://pypi.org/project/pdftabextract,2018-01-09 08:00:24.000,1.0,277.0,277.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +661,pycls,facebookresearch/pycls,image,,https://github.com/facebookresearch/pycls,https://github.com/facebookresearch/pycls,MIT,2019-06-10 22:47:17.000,2022-07-12 01:15:33.000000,2022-07-12 01:13:05,104.0,,232,60.0,105.0,25.0,56.0,2038,"Codebase for Image Classification Research, written in PyTorch.",17.0,21,True,2021-05-21 00:29:47.000,0.2,3.0,pycls,,,,['pytorch'],10.0,10.0,https://pypi.org/project/pycls,2020-09-05 00:21:00.000,,42969.0,42969.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +662,BlazingSQL,BlazingDB/blazingsql,gpu-utilities,,https://github.com/BlazingDB/blazingsql,https://github.com/BlazingDB/blazingsql,Apache-2.0,2018-09-24 18:25:45.000,2022-09-16 23:58:37.000000,2021-09-30 21:51:09,8208.0,,169,54.0,895.0,129.0,586.0,1799,"BlazingSQL is a lightweight, GPU accelerated, SQL engine for Python. Built on RAPIDS cuDF.",49.0,21,False,2021-08-16 15:40:43.000,21.08.00,19.0,,blazingsql/blazingsql-protocol,,,,,,,,,,22.0,https://anaconda.org/blazingsql/blazingsql-protocol,2019-11-11 19:54:17.621,963.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +663,fast-bert,utterworks/fast-bert,nlp,,https://github.com/utterworks/fast-bert,https://github.com/utterworks/fast-bert,Apache-2.0,2019-04-18 22:01:20.000,2022-10-17 04:29:38.000000,2022-09-27 09:59:52,326.0,,337,42.0,66.0,157.0,95.0,1786,Super easy library for BERT based NLP models.,36.0,21,True,2022-09-22 13:50:45.318,2.0.9,58.0,fast-bert,,,,,2.0,,https://pypi.org/project/fast-bert,2022-09-22 13:50:45.318,2.0,2958.0,2958.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +664,hiddenlayer,waleedka/hiddenlayer,ml-experiments,,https://github.com/waleedka/hiddenlayer,https://github.com/waleedka/hiddenlayer,MIT,2018-05-18 22:34:51.000,2022-06-23 20:25:11.000000,2020-04-24 06:58:09,58.0,,242,43.0,12.0,53.0,35.0,1676,"Neural network graphs and training metrics for PyTorch, Tensorflow, and Keras.",6.0,21,False,2018-12-03 04:33:29.000,0.2,3.0,hiddenlayer,,,,"['pytorch', 'tensorflow', 'jupyter']",179.0,170.0,https://pypi.org/project/hiddenlayer,2020-04-24 07:32:11.000,9.0,1826.0,1826.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +665,greykite,linkedin/greykite,time-series-data,,https://github.com/linkedin/greykite,https://github.com/linkedin/greykite,BSD-2-Clause,2021-04-27 17:05:53.000,2022-08-31 15:55:03.000000,2022-08-31 15:54:57,22.0,,91,38.0,22.0,13.0,68.0,1674,"A flexible, intuitive and fast forecasting library.",8.0,21,True,2022-07-21 07:38:24.000,0.4.0,8.0,greykite,,,,,16.0,16.0,https://pypi.org/project/greykite,2022-07-15 21:40:53.479,,12948.0,12948.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +666,lore,instacart/lore,ml-experiments,,https://github.com/instacart/lore,https://github.com/instacart/lore,MIT,2017-10-19 21:51:45.000,2022-09-27 19:41:48.000000,2022-09-27 19:41:48,274.0,,128,103.0,149.0,26.0,19.0,1543,Lore makes machine learning approachable for Software Engineers and maintainable for Machine Learning Researchers.,29.0,21,True,2022-02-02 23:30:10.000,0.8.5,232.0,lore,,,,,21.0,20.0,https://pypi.org/project/lore,2022-02-02 23:30:10.000,1.0,1205.0,1205.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +667,DELTA,Delta-ML/delta,nlp,,https://github.com/Delta-ML/delta,https://github.com/Delta-ML/delta,Apache-2.0,2019-05-29 08:33:57.000,2023-03-07 03:03:51.000000,2020-12-17 06:57:15,932.0,,298,67.0,197.0,5.0,74.0,1539,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,,21.0,305.0,,,,https://hub.docker.com/r/zh794390558/delta,2021-08-03 14:50:00.516864,,13105.0,3.0,,,,,,,,,,,,,,,,,,,, +668,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,,360,63.0,47.0,37.0,72.0,1470,"Bidirectional LSTM-CRF and ELMo for Named-Entity Recognition, Part-of-Speech Tagging and so on.",11.0,21,False,2018-07-17 01:59:21.000,1.0.8,14.0,anago,,,,['tensorflow'],36.0,31.0,https://pypi.org/project/anago,2018-07-17 01:59:21.000,5.0,391.0,391.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +669,DLTK,DLTK/DLTK,medical-data,,https://github.com/DLTK/DLTK,https://github.com/DLTK/DLTK,Apache-2.0,2017-05-02 15:40:36.000,2022-11-21 21:10:23.000000,2019-01-21 14:01:28,379.0,,401,102.0,35.0,11.0,24.0,1358,Deep Learning Toolkit for Medical Image Analysis.,9.0,21,False,2018-02-26 17:43:57.000,0.2.1,5.0,dltk,,,,['tensorflow'],28.0,28.0,https://pypi.org/project/dltk,2018-02-26 17:43:57.000,,222.0,222.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +670,benchmark_VAE,clementchadebec/benchmark_VAE,others,,https://github.com/clementchadebec/benchmark_VAE,https://github.com/clementchadebec/benchmark_VAE,Apache-2.0,2021-10-02 16:26:24.000,2023-03-13 10:12:03.000000,2023-03-13 10:12:03,349.0,12.0,105,16.0,45.0,5.0,28.0,1243,Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022).,9.0,21,True,2023-02-23 16:10:05.727,0.1.1,11.0,pythae,,,,['pytorch'],4.0,4.0,https://pypi.org/project/pythae,2022-10-19 12:00:33.174,,655.0,655.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +671,jraph,deepmind/jraph,graph,,https://github.com/deepmind/jraph,https://github.com/deepmind/jraph,Apache-2.0,2020-11-23 10:27:12.000,2023-01-07 13:17:28.000000,2022-08-31 13:13:15,103.0,,72,39.0,13.0,9.0,26.0,1118,A Graph Neural Network Library in Jax.,17.0,21,True,2022-08-12 15:24:20.000,0.0.6.de0,5.0,jraph,conda-forge/jraph,,,['jax'],68.0,63.0,https://pypi.org/project/jraph,2022-08-12 15:25:29.659,5.0,3858.0,3945.0,https://anaconda.org/conda-forge/jraph,2021-10-31 19:30:27.109,1494.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +672,Vulkan Kompute,KomputeProject/kompute,gpu-utilities,,https://github.com/KomputeProject/kompute,https://github.com/KomputeProject/kompute,Apache-2.0,2020-07-29 05:23:33.000,2023-02-14 14:20:21.000000,2022-12-03 17:48:51,1188.0,,75,26.0,131.0,62.0,126.0,1098,"General purpose GPU compute framework built on Vulkan to support 1000s of cross vendor graphics cards (AMD, Qualcomm,..",21.0,21,True,2022-04-13 10:24:33.000,0.8.1,13.0,kp,,,,,6.0,6.0,https://pypi.org/project/kp,2022-04-13 10:22:18.000,,136.0,143.0,,,,,,,,3.0,233.0,,,,,,,,,,,,,,,,,,, +673,luminol,linkedin/luminol,time-series-data,,https://github.com/linkedin/luminol,https://github.com/linkedin/luminol,Apache-2.0,2015-11-18 23:16:33.000,2022-08-24 16:16:11.000000,2018-01-09 07:46:55,69.0,,211,66.0,28.0,31.0,12.0,1083,Anomaly Detection and Correlation library.,8.0,21,False,2016-01-20 01:01:44.000,0.3.1,5.0,luminol,,,,,86.0,71.0,https://pypi.org/project/luminol,2017-12-11 06:04:15.000,15.0,28072.0,28072.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +674,DiCE,interpretml/DiCE,interpretability,,https://github.com/interpretml/DiCE,https://github.com/interpretml/DiCE,MIT,2019-05-02 09:51:02.000,2023-03-16 12:39:34.000000,2023-02-03 06:04:53,599.0,9.0,149,17.0,207.0,56.0,89.0,1042,Generate Diverse Counterfactual Explanations for any machine learning model.,16.0,21,True,2022-10-19 11:30:46.000,0.9,10.0,dice-ml,,,,"['tensorflow', 'pytorch']",4.0,,https://pypi.org/project/dice-ml,2022-10-19 12:08:29.805,4.0,29294.0,29294.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +675,fastFM,ibayer/fastFM,recommender-systems,,https://github.com/ibayer/fastFM,https://github.com/ibayer/fastFM,BSD-3-Clause,2014-10-27 12:25:51.000,2022-07-17 13:12:39.000000,2021-03-24 12:22:31,297.0,,208,29.0,61.0,54.0,60.0,1025,fastFM: A Library for Factorization Machines.,20.0,21,False,2017-11-23 06:59:56.000,0.2.11,10.0,fastfm,,,,,115.0,105.0,https://pypi.org/project/fastfm,2017-11-23 06:59:56.000,10.0,326.0,330.0,,,,,,,,3.0,475.0,,,,,,,,,,,,,,,,,,, +676,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,,185,52.0,12.0,16.0,42.0,1011,High level network definitions with pre-trained weights in TensorFlow.,6.0,21,False,2020-03-31 04:38:27.000,0.4.6,12.0,tensornets,,,,['tensorflow'],62.0,58.0,https://pypi.org/project/tensornets,2020-03-31 04:35:15.000,4.0,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +677,geoplotlib,andrea-cuttone/geoplotlib,geospatial-data,,https://github.com/andrea-cuttone/geoplotlib,https://github.com/andrea-cuttone/geoplotlib,MIT,2015-02-24 13:13:07.000,2022-06-13 13:53:07.000000,2019-05-06 07:06:50,159.0,,166,56.0,14.0,30.0,19.0,983,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,,,,168.0,156.0,https://pypi.org/project/geoplotlib,2016-07-27 14:55:01.000,12.0,1431.0,1557.0,https://anaconda.org/conda-forge/geoplotlib,2021-05-31 16:11:51.234,2787.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +678,tf-explain,sicara/tf-explain,interpretability,,https://github.com/sicara/tf-explain,https://github.com/sicara/tf-explain,MIT,2019-07-15 08:26:24.000,2022-06-30 08:14:18.000000,2022-06-30 08:14:18,208.0,,108,50.0,98.0,41.0,51.0,974,Interpretability Methods for tf.keras models with Tensorflow 2.x.,18.0,21,True,2021-11-18 20:57:29.000,0.3.1,8.0,tf-explain,,,,['tensorflow'],168.0,161.0,https://pypi.org/project/tf-explain,2021-11-18 20:57:29.000,7.0,2573.0,2573.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +679,calamari,Calamari-OCR/calamari,ocr,,https://github.com/Calamari-OCR/calamari,https://github.com/Calamari-OCR/calamari,Apache-2.0,2018-03-20 15:22:29.000,2023-01-03 12:07:57.000000,2022-11-22 10:31:22,441.0,,201,56.0,79.0,54.0,203.0,960,Line based ATR Engine based on OCRopy.,20.0,21,True,2022-03-21 11:52:48.000,2.2.2,34.0,calamari_ocr,,,,,2.0,,https://pypi.org/project/calamari_ocr,2018-11-13 11:24:45.000,2.0,1265.0,1265.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +680,attention-ocr,emedvedev/attention-ocr,ocr,,https://github.com/emedvedev/attention-ocr,https://github.com/emedvedev/attention-ocr,MIT,2017-07-21 18:35:19.000,2021-10-29 14:44:11.000000,2021-10-29 14:44:08,205.0,,246,46.0,45.0,25.0,127.0,938,A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and..,27.0,21,False,2020-10-12 06:56:40.000,0.7.6,21.0,aocr,,,,['tensorflow'],21.0,21.0,https://pypi.org/project/aocr,2019-04-19 05:28:27.000,,261.0,261.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +681,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,,131,35.0,16.0,7.0,3.0,890,Nudity detection with Python.,12.0,21,False,2020-11-23 13:49:17.000,0.5.1,10.0,nudepy,,,,,3289.0,3279.0,https://pypi.org/project/nudepy,2020-11-23 13:49:17.000,10.0,4443.0,4443.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +682,Saliency,PAIR-code/saliency,tensorflow-utils,,https://github.com/PAIR-code/saliency,https://github.com/PAIR-code/saliency,Apache-2.0,2017-06-09 22:07:35.000,2022-12-02 18:00:11.000000,2022-05-13 18:48:12,83.0,,181,26.0,57.0,5.0,27.0,869,"Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).",16.0,21,True,2022-06-14 18:11:08.000,0.2.0,11.0,saliency,,,,['tensorflow'],58.0,55.0,https://pypi.org/project/saliency,2022-06-14 18:11:08.000,3.0,4163.0,4163.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +683,pytorch_tabular,manujosephv/pytorch_tabular,tabular,,https://github.com/manujosephv/pytorch_tabular,https://github.com/manujosephv/pytorch_tabular,MIT,2020-12-15 07:17:03.000,2023-03-15 23:57:44.000000,2023-03-15 23:56:54,407.0,94.0,98,14.0,72.0,14.0,84.0,848,A standard framework for modelling Deep Learning Models for tabular data.,15.0,21,True,2023-01-20 12:52:22.000,1.0.1,10.0,pytorch_tabular,,,,['pytorch'],1.0,,https://pypi.org/project/pytorch_tabular,2023-01-20 12:10:00.661,1.0,2405.0,2405.0,,,,,,,,3.0,3.0,,,,,,,,,,,,,,,,,,, +684,metricflow,transform-data/metricflow,others,,https://github.com/transform-data/metricflow,https://github.com/transform-data/metricflow,AGPL-3.0,2022-04-04 18:33:06.000,2023-03-10 19:46:09.000000,2023-03-02 21:46:05,976.0,133.0,60,17.0,352.0,51.0,39.0,823,"MetricFlow allows you to define, build, and maintain metrics in code.",32.0,21,False,2023-01-26 23:10:31.000,0.140.0,28.0,metricflow,,,,,4.0,4.0,https://pypi.org/project/metricflow,2023-01-26 23:10:02.685,,780.0,780.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +685,Objax,google/objax,ml-frameworks,,https://github.com/google/objax,https://github.com/google/objax,Apache-2.0,2020-08-20 06:20:40.000,2023-01-13 14:43:43.000000,2022-08-30 21:25:19,439.0,,68,27.0,153.0,47.0,60.0,739,Objax is a machine learning framework that provides an Object Oriented layer for JAX.,24.0,21,True,2022-02-01 00:17:20.000,1.6.0,9.0,objax,,,,['jax'],36.0,33.0,https://pypi.org/project/objax,2022-01-31 23:28:27.000,3.0,435.0,435.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +686,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 20:07:16,161.0,1.0,144,38.0,33.0,24.0,39.0,731,"Python framework for fast (approximated) nearest neighbour search in large, high-dimensional data sets using different..",19.0,21,True,2016-09-27 13:04:44.000,1.0.0,8.0,NearPy,,,,,95.0,79.0,https://pypi.org/project/NearPy,2016-09-27 13:03:12.000,16.0,1518.0,1518.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +687,TF Compression,tensorflow/compression,tensorflow-utils,,https://github.com/tensorflow/compression,https://github.com/tensorflow/compression,Apache-2.0,2018-05-15 23:32:19.000,2023-03-16 08:21:21.000000,2023-03-16 08:20:52,266.0,6.0,233,44.0,18.0,5.0,90.0,722,Data compression in TensorFlow.,20.0,21,True,2022-11-23 02:02:13.000,2.11.0,19.0,tensorflow-compression,,,,['tensorflow'],2.0,,https://pypi.org/project/tensorflow-compression,2022-11-23 01:59:02.058,2.0,6027.0,6027.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +688,deeplift,kundajelab/deeplift,interpretability,,https://github.com/kundajelab/deeplift,https://github.com/kundajelab/deeplift,MIT,2016-06-01 02:18:06.000,2022-04-28 10:04:52.000000,2021-11-11 17:50:26,553.0,,153,38.0,46.0,38.0,49.0,713,Public facing deeplift repo.,11.0,21,False,2018-07-13 21:11:52.000,0.6.6,21.0,deeplift,,,,,72.0,68.0,https://pypi.org/project/deeplift,2020-11-11 09:32:57.000,4.0,353.0,353.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +689,evojax,google/evojax,jax-utils,,https://github.com/google/evojax,https://github.com/google/evojax,Apache-2.0,2021-12-07 00:30:07.000,2023-02-20 06:04:49.000000,2023-02-20 06:04:49,289.0,16.0,51,23.0,44.0,10.0,15.0,636,EvoJAX: Hardware-accelerated Neuroevolution.,13.0,21,True,2022-10-05 05:02:01.602,0.2.15,21.0,evojax,conda-forge/evojax,,,['jax'],4.0,3.0,https://pypi.org/project/evojax,2022-10-05 05:02:01.602,1.0,746.0,1795.0,https://anaconda.org/conda-forge/evojax,2022-10-05 08:26:30.971,13642.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +690,Torchbearer,pytorchbearer/torchbearer,ml-frameworks,,https://github.com/pytorchbearer/torchbearer,https://github.com/pytorchbearer/torchbearer,MIT,2018-03-12 16:30:42.000,2021-03-26 19:56:57.000000,2021-03-26 19:56:57,430.0,,67,28.0,422.0,10.0,237.0,630,torchbearer: A model fitting library for PyTorch.,13.0,21,False,2020-01-31 14:07:22.000,0.5.3,24.0,torchbearer,,,,['pytorch'],79.0,75.0,https://pypi.org/project/torchbearer,2020-01-31 14:05:56.000,4.0,651.0,651.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +691,python-ternary,marcharper/python-ternary,data-viz,,https://github.com/marcharper/python-ternary,https://github.com/marcharper/python-ternary,MIT,2012-08-07 23:48:55.000,2022-12-31 20:29:03.000000,2022-12-31 20:29:03,396.0,1.0,144,17.0,72.0,39.0,103.0,620,Ternary plotting library for python with matplotlib.,27.0,21,True,2021-02-17 18:38:15.000,1.0.8,11.0,python-ternary,conda-forge/python-ternary,,,,141.0,120.0,https://pypi.org/project/python-ternary,2021-02-17 18:38:15.000,21.0,58254.0,59119.0,https://anaconda.org/conda-forge/python-ternary,2021-02-17 22:38:55.625,71875.0,,,,,3.0,18.0,,,,,,,,,,,,,,,,,,, +692,torch-cluster,rusty1s/pytorch_cluster,graph,,https://github.com/rusty1s/pytorch_cluster,https://github.com/rusty1s/pytorch_cluster,MIT,2018-01-12 20:56:06.000,2023-03-16 14:03:14.000000,2023-03-16 12:13:37,587.0,2.0,110,14.0,46.0,23.0,101.0,617,PyTorch Extension Library of Optimized Graph Cluster Algorithms.,28.0,21,True,2022-03-11 14:21:26.000,1.6.0,40.0,torch-cluster,conda-forge/pytorch_cluster,,,['pytorch'],30.0,,https://pypi.org/project/torch-cluster,2022-03-11 14:21:26.000,30.0,10808.0,12349.0,https://anaconda.org/conda-forge/pytorch_cluster,2022-12-28 16:33:25.551,52406.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +693,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 04:46:24,210.0,2.0,100,29.0,1.0,11.0,3.0,612,(AAAI 20) A Python Toolbox for Machine Learning Model Combination.,2.0,21,True,2022-04-02 16:20:07.000,0.1.3,13.0,combo,,,,"['sklearn', 'xgboost']",535.0,531.0,https://pypi.org/project/combo,2022-04-02 16:20:07.000,4.0,46152.0,46152.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +694,Neuraxle,Neuraxio/Neuraxle,hyperopt,,https://github.com/Neuraxio/Neuraxle,https://github.com/Neuraxio/Neuraxle,Apache-2.0,2019-03-26 21:01:54.000,2022-08-16 19:50:37.507000,2022-08-16 17:43:49,1877.0,,57,18.0,215.0,49.0,270.0,560,The worlds cleanest AutoML library - Do hyperparameter tuning with the right pipeline abstractions to write clean deep..,9.0,21,True,2022-08-16 19:54:29.000,0.8.1,27.0,neuraxle,,,,,44.0,43.0,https://pypi.org/project/neuraxle,2022-08-16 19:50:37.507,1.0,438.0,438.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +695,aequitas,dssg/aequitas,interpretability,,https://github.com/dssg/aequitas,https://github.com/dssg/aequitas,MIT,2018-02-13 19:40:30.000,2022-12-15 10:05:41.000000,2022-12-12 16:42:53,858.0,,94,43.0,59.0,48.0,21.0,529,Bias and Fairness Audit Toolkit.,17.0,21,True,2020-12-16 11:48:14.000,0.42.0,16.0,aequitas,,,,,133.0,127.0,https://pypi.org/project/aequitas,2020-12-16 11:48:14.000,6.0,2233.0,2233.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +696,joypy,leotac/joypy,data-viz,,https://github.com/leotac/joypy,https://github.com/leotac/joypy,MIT,2017-07-30 17:18:50.000,2022-11-29 07:53:00.000000,2021-12-19 09:41:43,133.0,,49,12.0,20.0,11.0,37.0,476,Joyplots in Python with matplotlib & pandas.,6.0,21,False,2021-12-19 09:42:50.000,0.2.6,17.0,joypy,conda-forge/joypy,,,,268.0,263.0,https://pypi.org/project/joypy,2021-12-19 09:42:50.000,5.0,16424.0,16811.0,https://anaconda.org/conda-forge/joypy,2020-12-28 14:07:53.760,18618.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +697,rrcf,kLabUM/rrcf,others,,https://github.com/kLabUM/rrcf,https://github.com/kLabUM/rrcf,MIT,2018-10-20 05:39:05.000,2023-03-15 20:10:41.000000,2023-03-15 20:07:43,258.0,5.0,94,20.0,54.0,26.0,19.0,425,Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams.,5.0,21,True,2023-03-15 20:10:41.000,0.4.4,7.0,rrcf,,,,,45.0,43.0,https://pypi.org/project/rrcf,2020-06-10 01:53:55.000,2.0,7724.0,7724.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +698,Studio.ml,studioml/studio,ml-experiments,,https://github.com/studioml/studio,https://github.com/studioml/studio,Apache-2.0,2017-05-15 01:49:28.000,2023-01-09 20:08:52.000000,2023-01-09 20:06:01,2410.0,1.0,52,25.0,230.0,57.0,195.0,377,Studio: Simplify and expedite model building process.,22.0,21,True,2021-09-14 22:55:51.000,0.0.49,208.0,studioml,,,,,5.0,5.0,https://pypi.org/project/studioml,2021-09-14 22:55:51.000,,514.0,514.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +699,featurewiz,AutoViML/featurewiz,hyperopt,,https://github.com/AutoViML/featurewiz,https://github.com/AutoViML/featurewiz,Apache-2.0,2020-11-29 16:46:16.000,2023-01-06 21:51:49.000000,2023-01-06 21:49:52,258.0,2.0,69,5.0,6.0,3.0,58.0,372,Use advanced feature engineering strategies and select best features from your data set with a single line of code.,7.0,21,True,2023-01-02 17:22:46.739,0.2.4,137.0,featurewiz,,,,,40.0,38.0,https://pypi.org/project/featurewiz,2023-01-02 17:22:46.739,2.0,20646.0,20646.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +700,Quantus,understandable-machine-intelligence-lab/quantus,interpretability,,https://github.com/understandable-machine-intelligence-lab/Quantus,https://github.com/understandable-machine-intelligence-lab/Quantus,LGPL-3.0,2021-03-18 15:04:58.000,2023-03-15 18:19:15.000000,2023-03-01 17:53:46,1328.0,78.0,50,5.0,145.0,27.0,59.0,317,Quantus is an eXplainable AI toolkit for responsible evaluation of neural network explanations.,18.0,21,False,2023-02-22 14:43:01.123,0.3.4,16.0,quantus,,,,,9.0,8.0,https://pypi.org/project/quantus,2023-01-25 17:08:07.031,1.0,557.0,562.0,,,,,,,,3.0,74.0,,,,,,,,,,,,,,,,,,, +701,Brainiak,brainiak/brainiak,medical-data,,https://github.com/brainiak/brainiak,https://github.com/brainiak/brainiak,Apache-2.0,2016-02-08 23:19:27.000,2023-03-06 19:18:14.000000,2021-05-28 01:21:58,393.0,,127,34.0,319.0,77.0,125.0,290,Brain Imaging Analysis Kit.,34.0,21,False,2019-08-27 23:52:29.000,0.9.1,15.0,brainiak,,brainiak/brainiak,,,19.0,18.0,https://pypi.org/project/brainiak,2020-10-15 20:45:08.000,1.0,215.0,224.0,,,,https://hub.docker.com/r/brainiak/brainiak,2020-10-15 21:11:03.379549,1.0,821.0,3.0,,,,,,,,,,,,,,,,,,,, +702,somoclu,peterwittek/somoclu,distributed-ml,,https://github.com/peterwittek/somoclu,https://github.com/peterwittek/somoclu,MIT,2013-01-16 06:33:16.000,2023-02-20 03:00:42.368000,2022-09-26 07:14:12,621.0,,64,28.0,29.0,28.0,111.0,244,"Massively parallel self-organizing maps: accelerate training on multicore CPUs, GPUs, and clusters.",19.0,21,False,2023-02-18 02:51:08.166,1.7.6,18.0,somoclu,conda-forge/somoclu,,,,7.0,,https://pypi.org/project/somoclu,2020-04-25 05:33:32.000,7.0,1724.0,2804.0,https://anaconda.org/conda-forge/somoclu,2023-02-20 03:00:42.368,71240.0,,,,,3.0,1690.0,,,,,,,,,,,,,,,,,,, +703,py3nvml,fbcotter/py3nvml,gpu-utilities,,https://github.com/fbcotter/py3nvml,https://github.com/fbcotter/py3nvml,BSD-3-Clause,2016-11-21 01:07:37.000,2022-10-29 15:10:50.926000,2022-04-14 09:41:50,86.0,,33,13.0,9.0,3.0,12.0,216,Python 3 Bindings for NVML library. Get NVIDIA GPU status inside your program.,9.0,21,False,2021-11-22 14:30:25.000,0.2.7,14.0,py3nvml,conda-forge/py3nvml,,,,688.0,648.0,https://pypi.org/project/py3nvml,2021-11-22 14:30:25.000,40.0,116035.0,117130.0,https://anaconda.org/conda-forge/py3nvml,2022-10-29 15:10:50.926,41621.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +704,stop-words,Alir3z4/python-stop-words,nlp,,https://github.com/Alir3z4/python-stop-words,https://github.com/Alir3z4/python-stop-words,BSD-3-Clause,2014-05-26 06:44:03.000,2021-12-28 13:59:30.000000,2018-07-23 21:04:09,90.0,,26,6.0,18.0,3.0,9.0,146,Get list of common stop words in various languages in Python.,8.0,21,False,2018-07-23 20:58:34.000,2018.7.23,8.0,stop-words,,,,,1939.0,1793.0,https://pypi.org/project/stop-words,2018-07-23 20:55:55.000,146.0,112322.0,112322.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +705,graph-nets,deepmind/graph_nets,graph,,https://github.com/deepmind/graph_nets,https://github.com/deepmind/graph_nets,Apache-2.0,2018-08-31 08:19:28.000,2022-12-12 11:28:07.000000,2022-12-12 11:28:07,48.0,,779,222.0,25.0,5.0,121.0,5230,Build Graph Nets in Tensorflow.,11.0,20,True,2020-01-29 16:00:25.000,1.1.0,7.0,graph-nets,,,,['tensorflow'],8.0,,https://pypi.org/project/graph-nets,2020-01-29 16:00:25.000,8.0,1064.0,1064.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +706,BytePS,bytedance/byteps,distributed-ml,,https://github.com/bytedance/byteps,https://github.com/bytedance/byteps,Apache-2.0,2019-06-25 07:00:13.000,2022-08-19 00:53:25.000000,2022-02-10 07:36:23,432.0,,475,84.0,179.0,108.0,161.0,3378,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,,69.0,97.0,,,,https://hub.docker.com/r/bytepsimage/tensorflow,2020-03-03 02:33:23.358610,,1293.0,3.0,,,,,,,,,,,,,,,,,,,, +707,AdaBound,Luolc/AdaBound,pytorch-utils,,https://github.com/Luolc/AdaBound,https://github.com/Luolc/AdaBound,Apache-2.0,2019-02-15 18:05:20.000,2019-03-06 17:01:52.000000,2019-03-06 17:01:45,27.0,,327,76.0,1.0,18.0,7.0,2898,An optimizer that trains as fast as Adam and as good as SGD.,2.0,20,False,2019-03-06 16:44:42.000,0.0.5,4.0,adabound,,,,['pytorch'],169.0,162.0,https://pypi.org/project/adabound,2019-02-26 04:23:45.000,7.0,1340.0,1340.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +708,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,,398,100.0,54.0,64.0,48.0,2841,Quickly search over billions of images.,19.0,20,True,2017-02-13 14:54:48.000,1.1.2,10.0,image_match,,,,,4.0,,https://pypi.org/project/image_match,2017-02-13 14:54:48.000,4.0,738.0,738.0,,,,,,,,3.0,,,,,,,,,,,,rhsimplex/image-match,,,,,,,, +709,opyrator,ml-tooling/opyrator,others,,https://github.com/ml-tooling/opyrator,https://github.com/ml-tooling/opyrator,MIT,2021-04-06 08:09:06.000,2023-02-14 22:13:54.000000,2021-05-06 12:10:38,127.0,,138,49.0,36.0,2.0,30.0,2807,"Turns your machine learning code into microservices with web API, interactive GUI, and more.",4.0,20,False,2021-05-04 18:48:03.000,0.0.12,11.0,opyrator,conda-forge/opyrator,,,,42.0,42.0,https://pypi.org/project/opyrator,2021-05-04 18:48:03.000,,208.0,273.0,https://anaconda.org/conda-forge/opyrator,2022-01-08 18:03:03.967,913.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +710,Coach,IntelLabs/coach,reinforcement-learning,,https://github.com/IntelLabs/coach,https://github.com/IntelLabs/coach,Apache-2.0,2017-10-01 19:27:43.000,2022-12-11 17:54:07.000000,2022-12-11 17:54:06,524.0,,440,131.0,225.0,87.0,183.0,2233,Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning..,36.0,20,True,2019-10-10 14:17:10.000,1.0.1,13.0,rl_coach,,,,,2.0,,https://pypi.org/project/rl_coach,2019-10-10 14:17:10.000,2.0,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +711,reformer-pytorch,lucidrains/reformer-pytorch,pytorch-utils,,https://github.com/lucidrains/reformer-pytorch,https://github.com/lucidrains/reformer-pytorch,MIT,2020-01-09 20:42:37.000,2022-06-24 01:30:44.000000,2022-06-24 01:30:35,247.0,,250,52.0,33.0,13.0,104.0,1859,"Reformer, the efficient Transformer, in Pytorch.",11.0,20,True,2021-11-06 23:09:00.000,1.4.4,139.0,reformer-pytorch,,,,['pytorch'],,,https://pypi.org/project/reformer-pytorch,2021-11-06 23:09:00.000,,1929.0,1929.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +712,Torchmeta,tristandeleu/pytorch-meta,pytorch-utils,,https://github.com/tristandeleu/pytorch-meta,https://github.com/tristandeleu/pytorch-meta,MIT,2018-12-04 23:36:45.000,2022-12-24 01:08:10.000000,2021-09-20 16:03:46,382.0,,225,41.0,32.0,47.0,89.0,1777,A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch.,12.0,20,False,2021-09-20 16:06:33.000,1.8.0,28.0,torchmeta,,,,['pytorch'],,,https://pypi.org/project/torchmeta,2021-09-20 16:06:33.000,,2033.0,2033.0,,,,,,,,3.0,,,-3.0,,,,,,,,,,,,,,,,, +713,ecco,jalammar/ecco,interpretability,,https://github.com/jalammar/ecco,https://github.com/jalammar/ecco,BSD-3-Clause,2020-11-07 10:06:34.000,2022-03-27 16:48:51.000000,2022-01-18 08:05:49,304.0,,119,21.0,25.0,15.0,28.0,1625,"Explain, analyze, and visualize NLP language models. Ecco creates interactive visualizations directly in Jupyter..",10.0,20,False,2022-01-09 21:17:53.000,0.1.2,18.0,ecco,conda-forge/ecco,,,['pytorch'],20.0,19.0,https://pypi.org/project/ecco,2022-01-09 21:14:50.000,1.0,508.0,696.0,https://anaconda.org/conda-forge/ecco,2022-01-10 22:03:30.223,2816.0,,,,,3.0,35.0,,,,,,,,,,,,,,,,,,, +714,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 20:51:25.000,2021-09-29 18:48:52.000000,2021-09-29 18:48:52,239.0,,203,38.0,6.0,14.0,32.0,1602,pip install antialiased-cnns to improve stability and accuracy.,6.0,20,False,2020-10-23 22:45:52.000,0.3,6.0,antialiased-cnns,,,,['pytorch'],41.0,35.0,https://pypi.org/project/antialiased-cnns,2020-10-23 22:42:49.000,6.0,1489.0,1489.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +715,ThunderSVM,Xtra-Computing/thundersvm,ml-frameworks,,https://github.com/Xtra-Computing/thundersvm,https://github.com/Xtra-Computing/thundersvm,Apache-2.0,2014-12-11 04:24:04.000,2022-04-09 02:38:13.000000,2022-04-09 02:38:13,904.0,,202,53.0,51.0,61.0,148.0,1461,ThunderSVM: A Fast SVM Library on GPUs and CPUs.,34.0,20,True,2020-03-13 12:36:30.000,0.3.12,9.0,thundersvm,,,,,,,https://pypi.org/project/thundersvm,2020-03-13 12:36:30.000,,454.0,487.0,,,,,,,,3.0,2573.0,,,,,,,,,,,,,,,,,,, +716,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,,101,39.0,13.0,14.0,9.0,1257,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,,,,,74.0,74.0,https://pypi.org/project/doc2text,2016-09-06 21:59:21.000,,2099.0,2099.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +717,Skater,oracle/Skater,interpretability,,https://github.com/oracle/Skater,https://github.com/oracle/Skater,UPL-1.0,2017-01-26 05:45:42.000,2022-08-09 20:28:48.000000,2022-02-11 18:01:55,1106.0,,180,55.0,149.0,72.0,97.0,1058,Python Library for Model Interpretation/Explanations.,36.0,20,False,2018-09-21 07:03:32.000,1.1.2,23.0,skater,conda-forge/skater,,,,,,https://pypi.org/project/skater,2018-09-21 07:03:32.000,,2730.0,3548.0,https://anaconda.org/conda-forge/skater,2021-11-15 19:51:51.883,56484.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +718,PFRL,pfnet/pfrl,reinforcement-learning,,https://github.com/pfnet/pfrl,https://github.com/pfnet/pfrl,MIT,2020-06-24 09:31:50.000,2022-09-21 12:53:05.000000,2022-09-21 12:53:05,410.0,,136,101.0,112.0,33.0,40.0,1009,PFRL: a PyTorch-based deep reinforcement learning library.,18.0,20,True,2021-07-07 02:43:23.000,0.3.0,5.0,pfrl,,,,,75.0,74.0,https://pypi.org/project/pfrl,2021-07-07 02:48:20.000,1.0,439.0,439.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +719,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,,138,15.0,11.0,40.0,43.0,924,"An implementation of Performer, a linear attention-based transformer, in Pytorch.",6.0,20,False,2022-02-02 20:34:04.000,1.1.4,80.0,performer-pytorch,,,,['pytorch'],82.0,77.0,https://pypi.org/project/performer-pytorch,2022-02-02 20:34:04.000,5.0,30198.0,30198.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +720,AlphaPy,ScottfreeLLC/AlphaPy,hyperopt,,https://github.com/ScottfreeLLC/AlphaPy,https://github.com/ScottfreeLLC/AlphaPy,Apache-2.0,2016-02-14 00:47:32.000,2023-03-07 02:41:06.000000,2022-04-23 13:47:59,417.0,,169,60.0,6.0,13.0,29.0,882,"Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost.",3.0,20,True,2020-08-29 18:48:20.000,2.5.0,25.0,alphapy,,,,,3.0,3.0,https://pypi.org/project/alphapy,2020-08-29 18:44:15.000,,196.0,196.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +721,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,,188,34.0,15.0,18.0,22.0,786,TensorFlow implementation of an arbitrary order Factorization Machine.,10.0,20,False,2022-01-17 20:35:57.000,1.0.2,3.0,tffm,,,,['tensorflow'],13.0,12.0,https://pypi.org/project/tffm,2022-01-17 20:35:57.000,1.0,1283.0,1283.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +722,Dragonfly,dragonfly/dragonfly,hyperopt,,https://github.com/dragonfly/dragonfly,https://github.com/dragonfly/dragonfly,MIT,2018-04-20 22:19:50.000,2022-10-01 22:28:00.848000,2022-10-01 22:21:50,400.0,,219,31.0,37.0,39.0,20.0,765,An open source python library for scalable Bayesian optimisation.,13.0,20,True,2022-10-01 22:28:00.848,0.1.7,10.0,dragonfly-opt,,,,,2.0,,https://pypi.org/project/dragonfly-opt,2022-10-01 22:28:00.848,2.0,34716.0,34716.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +723,TensorFrames,databricks/tensorframes,distributed-ml,,https://github.com/databricks/tensorframes,https://github.com/databricks/tensorframes,Apache-2.0,2016-03-04 19:25:19.000,2022-11-21 21:49:41.000000,2019-11-15 21:43:53,221.0,,158,77.0,97.0,51.0,43.0,755,[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 14:20:28.000,1.0,33644.0,33644.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +724,NeoML,neoml-lib/neoml,ml-frameworks,,https://github.com/neoml-lib/neoml,https://github.com/neoml-lib/neoml,Apache-2.0,2020-06-14 17:37:36.000,2023-03-15 01:30:42.000000,2023-03-15 01:30:33,869.0,52.0,113,30.0,748.0,34.0,49.0,712,Machine learning framework for both deep learning and traditional algorithms.,33.0,20,True,2022-09-07 14:55:47.749,2.0.92,8.0,neoml,,,,,,,https://pypi.org/project/neoml,2022-09-07 14:55:47.749,,101.0,101.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +725,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,,51,30.0,12.0,11.0,15.0,623,Log TensorBoard events without touching TensorFlow.,5.0,20,False,2018-02-08 07:28:51.000,0.1.0,5.0,tensorboard_logger,,,,,51.0,,https://pypi.org/project/tensorboard_logger,2018-02-08 07:28:51.000,51.0,24347.0,24347.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +726,detecto,alankbi/detecto,image,,https://github.com/alankbi/detecto,https://github.com/alankbi/detecto,MIT,2019-12-11 21:50:28.000,2022-12-10 18:58:38.000000,2022-02-09 16:35:40,142.0,,101,23.0,24.0,42.0,61.0,584,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'],128.0,126.0,https://pypi.org/project/detecto,2022-02-02 00:12:06.000,2.0,3074.0,3179.0,https://anaconda.org/conda-forge/detecto,2022-02-02 08:20:04.359,2220.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +727,PyWaffle,gyli/PyWaffle,data-viz,,https://github.com/gyli/PyWaffle,https://github.com/gyli/PyWaffle,MIT,2017-11-14 20:03:47.000,2022-06-08 03:46:06.000000,2022-06-08 03:46:02,305.0,,99,9.0,14.0,5.0,16.0,538,Make Waffle Charts in Python.,6.0,20,True,2022-06-08 03:10:36.000,1.1.0,27.0,pywaffle,conda-forge/pywaffle,,,,216.0,214.0,https://pypi.org/project/pywaffle,2022-06-08 03:10:36.000,2.0,3354.0,3522.0,https://anaconda.org/conda-forge/pywaffle,2022-06-05 04:31:54.543,8595.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +728,pyhsmm,mattjj/pyhsmm,probabilistics,,https://github.com/mattjj/pyhsmm,https://github.com/mattjj/pyhsmm,MIT,2012-03-18 17:40:13.000,2022-10-26 08:37:57.000000,2020-08-24 17:03:59,1426.0,,163,56.0,20.0,39.0,60.0,529,Bayesian inference in HSMMs and HMMs.,13.0,20,False,2017-05-10 17:14:37.000,0.1.7,8.0,pyhsmm,,,,,30.0,25.0,https://pypi.org/project/pyhsmm,2017-05-10 17:14:37.000,5.0,98.0,98.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +729,recmetrics,statisticianinstilettos/recmetrics,recommender-systems,,https://github.com/statisticianinstilettos/recmetrics,https://github.com/statisticianinstilettos/recmetrics,MIT,2018-10-15 15:29:49.000,2023-03-11 23:56:29.000000,2023-03-11 23:56:29,286.0,22.0,91,14.0,34.0,9.0,14.0,483,A library of metrics for evaluating recommender systems.,19.0,20,True,2022-04-26 18:03:18.000,0.1.5,20.0,recmetrics,,,,,36.0,36.0,https://pypi.org/project/recmetrics,2022-04-26 17:57:01.000,,3882.0,3882.0,,,,,,,,3.0,1.0,,,,,,,,,,,,,,,,,,, +730,deepsnap,snap-stanford/deepsnap,graph,,https://github.com/snap-stanford/deepsnap,https://github.com/snap-stanford/deepsnap,MIT,2020-06-06 21:17:38.000,2023-03-05 22:18:18.000000,2023-03-05 22:18:18,408.0,2.0,49,59.0,7.0,18.0,24.0,459,Python library assists deep learning on graphs.,16.0,20,True,2021-09-05 23:08:21.000,0.2.1,5.0,deepsnap,,,,,43.0,42.0,https://pypi.org/project/deepsnap,2021-09-05 22:57:16.000,1.0,788.0,788.0,,,,,,,,3.0,8.0,,,,,,,,,,,,,,,,,,, +731,chefboost,serengil/chefboost,ml-frameworks,,https://github.com/serengil/chefboost,https://github.com/serengil/chefboost,MIT,2019-03-06 12:26:27.000,2023-02-06 13:38:46.000000,2023-02-06 13:38:46,358.0,4.0,93,17.0,3.0,5.0,27.0,387,"A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some..",6.0,20,True,2022-02-16 06:14:54.000,0.0.17,17.0,chefboost,,,,,35.0,35.0,https://pypi.org/project/chefboost,2022-02-16 06:14:54.000,,1237.0,1237.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +732,scikit-rebate,EpistasisLab/scikit-rebate,others,,https://github.com/EpistasisLab/scikit-rebate,https://github.com/EpistasisLab/scikit-rebate,MIT,2016-09-19 13:36:17.000,2023-02-10 06:20:14.000000,2021-02-15 17:10:59,283.0,,66,22.0,48.0,14.0,19.0,376,"A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for..",13.0,20,False,2017-04-12 16:12:01.000,0.3.4,13.0,skrebate,conda-forge/skrebate,,,['sklearn'],40.0,,https://pypi.org/project/skrebate,2021-03-20 17:11:52.000,40.0,3448.0,3910.0,https://anaconda.org/conda-forge/skrebate,2021-02-16 02:08:21.926,28671.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +733,impyute,eltonlaw/impyute,others,,https://github.com/eltonlaw/impyute,https://github.com/eltonlaw/impyute,MIT,2017-01-21 09:16:27.000,2021-11-06 21:15:04.000000,2021-11-06 21:15:04,292.0,,47,10.0,37.0,28.0,37.0,334,Data imputations library to preprocess datasets with missing data.,11.0,20,False,2019-04-29 02:31:32.000,0.0.8,8.0,impyute,,,,,176.0,172.0,https://pypi.org/project/impyute,2019-04-29 02:31:32.000,4.0,6536.0,6536.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +734,MXBoard,awslabs/mxboard,ml-experiments,,https://github.com/awslabs/mxboard,https://github.com/awslabs/mxboard,Apache-2.0,2018-02-06 23:03:51.000,2021-11-30 10:46:24.000000,2020-01-24 23:21:55,42.0,,46,26.0,19.0,16.0,15.0,328,Logging MXNet data for visualization in TensorBoard.,9.0,20,False,2018-05-22 20:25:51.000,0.1.0,12.0,mxboard,,,,['mxnet'],192.0,185.0,https://pypi.org/project/mxboard,2018-05-22 20:25:51.000,7.0,6849.0,6849.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +735,ivis,beringresearch/ivis,data-viz,,https://github.com/beringresearch/ivis,https://github.com/beringresearch/ivis,Apache-2.0,2018-08-13 08:31:01.000,2023-01-11 12:30:05.335000,2023-01-11 12:11:20,623.0,3.0,37,11.0,60.0,3.0,56.0,295,Dimensionality reduction in very large datasets using Siamese Networks.,10.0,20,False,2023-01-11 12:30:05.335,2.0.9,35.0,ivis,,,,['tensorflow'],27.0,26.0,https://pypi.org/project/ivis,2023-01-11 12:30:05.335,1.0,438.0,438.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +736,launchpad,deepmind/launchpad,distributed-ml,,https://github.com/deepmind/launchpad,https://github.com/deepmind/launchpad,Apache-2.0,2021-02-18 15:16:49.000,2023-03-15 09:05:18.000000,2023-03-15 09:04:45,340.0,9.0,25,17.0,3.0,13.0,20.0,284,Launchpad is a library that simplifies writing distributed programs and seamlessly launching them on a range of..,23.0,20,False,2022-04-28 06:23:38.000,0.5.2,9.0,dm-launchpad,,,,['tensorflow'],36.0,36.0,https://pypi.org/project/dm-launchpad,2022-04-28 06:23:38.000,,4323.0,4323.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +737,sk-dist,Ibotta/sk-dist,distributed-ml,,https://github.com/Ibotta/sk-dist,https://github.com/Ibotta/sk-dist,Apache-2.0,2019-08-14 21:07:17.000,2023-02-07 20:17:56.000000,2023-02-07 20:17:52,60.0,2.0,50,25.0,41.0,8.0,10.0,282,Distributed scikit-learn meta-estimators in PySpark.,8.0,20,False,2020-05-14 22:20:14.000,0.1.9,12.0,sk-dist,,,,"['sklearn', 'spark']",16.0,14.0,https://pypi.org/project/sk-dist,2020-05-14 22:20:14.000,2.0,215845.0,215845.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +738,PipelineDP,OpenMined/PipelineDP,privacy-ml,,https://github.com/OpenMined/PipelineDP,https://github.com/OpenMined/PipelineDP,Apache-2.0,2021-02-10 18:04:22.000,2023-03-16 09:51:38.000000,2023-03-16 09:51:33,334.0,37.0,67,22.0,344.0,31.0,45.0,246,PipelineDP is a Python framework for applying differentially private aggregations to large datasets using batch..,30.0,20,False,2022-06-03 15:53:33.000,0.2.0,14.0,pipeline-dp,,,,,,,https://pypi.org/project/pipeline-dp,2023-01-30 14:45:00.398,,149.0,149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +739,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,,30,9.0,4.0,21.0,28.0,230,Yet another Python binding for fastText.,4.0,20,False,2018-12-08 15:32:09.000,0.4.6,13.0,pyfasttext,,,,,304.0,291.0,https://pypi.org/project/pyfasttext,2018-12-08 15:32:09.000,13.0,6279.0,6284.0,,,,,,,,3.0,356.0,,,,,,,,,,,,,,,,,,, +740,Glow,projectglow/glow,medical-data,,https://github.com/projectglow/glow,https://github.com/projectglow/glow,Apache-2.0,2019-10-04 21:26:47.000,2023-01-26 17:04:18.000000,2023-01-26 17:04:18,400.0,5.0,95,17.0,385.0,57.0,86.0,224,An open-source toolkit for large-scale genomic analysis.,24.0,20,False,2022-04-21 00:32:28.000,1.2.1,15.0,glow.py,conda-forge/glow,,,,,,https://pypi.org/project/glow.py,2022-04-19 23:43:38.000,,38032.0,38144.0,https://anaconda.org/conda-forge/glow,2021-04-28 16:52:48.812,2815.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +741,Larq Compute Engine,larq/compute-engine,model-serialisation,,https://github.com/larq/compute-engine,https://github.com/larq/compute-engine,Apache-2.0,2019-08-29 15:02:43.000,2023-02-22 14:48:36.000000,2023-02-22 14:48:34,561.0,5.0,33,21.0,614.0,21.0,125.0,222,Highly optimized inference engine for Binarized Neural Networks.,18.0,20,False,2023-01-20 22:15:03.430,0.11.0,18.0,larq-compute-engine,,,,,7.0,7.0,https://pypi.org/project/larq-compute-engine,2023-01-20 22:15:03.430,,686.0,708.0,,,,,,,,3.0,839.0,,,,,,,,,,,,,,,,,,, +742,Funsor,pyro-ppl/funsor,probabilistics,,https://github.com/pyro-ppl/funsor,https://github.com/pyro-ppl/funsor,Apache-2.0,2019-01-30 23:13:39.000,2023-02-16 21:22:03.000000,2023-02-06 22:03:09,575.0,5.0,19,18.0,463.0,89.0,75.0,215,Functional tensors for probabilistic programming.,11.0,20,False,2023-01-23 08:32:39.757,0.4.5,11.0,funsor,,,,['pytorch'],46.0,42.0,https://pypi.org/project/funsor,2023-01-23 08:32:39.757,4.0,1072.0,1072.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +743,pyRDF2Vec,IBCNServices/pyRDF2Vec,graph,,https://github.com/IBCNServices/pyRDF2Vec,https://github.com/IBCNServices/pyRDF2Vec,MIT,2019-06-13 11:36:12.000,2023-03-02 10:48:04.000000,2022-09-02 12:52:20,1313.0,,39,14.0,111.0,15.0,58.0,183,Python Implementation and Extension of RDF2Vec.,6.0,20,False,2021-06-09 10:56:14.000,0.2.3,11.0,pyrdf2vec,,,,,26.0,26.0,https://pypi.org/project/pyrdf2vec,2021-06-09 10:56:14.000,,349.0,349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +744,vegafusion,vegafusion/vegafusion,data-viz,,https://github.com/hex-inc/vegafusion,https://github.com/hex-inc/vegafusion,BSD-3-Clause,2021-10-01 09:19:27.000,2023-03-16 12:41:50.000000,2023-03-16 12:38:13,491.0,56.0,8,20.0,180.0,21.0,47.0,165,Serverside scaling for the Vega and Altair visualizations.,2.0,20,False,2023-03-06 19:57:37.000,1.0.4,32.0,vegafusion-jupyter,conda-forge/vegafusion-python-embed,,,,6.0,4.0,https://pypi.org/project/vegafusion-jupyter,2023-01-30 21:11:00.495,1.0,339.0,3724.0,https://anaconda.org/conda-forge/vegafusion-python-embed,2023-03-07 00:23:52.071,36199.0,,,,,3.0,1687.0,,,vegafusion-jupyter,https://www.npmjs.com/package/vegafusion-jupyter,2023-03-16 12:08:47.380,1.0,249.0,,,,hex-inc/vegafusion,,,,,,,, +745,DE⫶TR,facebookresearch/detr,image,,https://github.com/facebookresearch/detr,https://github.com/facebookresearch/detr,Apache-2.0,2020-05-26 23:54:52.000,2023-02-23 20:19:02.000000,2023-02-07 10:12:31,47.0,1.0,1940,150.0,83.0,211.0,282.0,10576,End-to-End Object Detection with Transformers.,26.0,19,True,2020-06-29 16:41:01.000,0.2,1.0,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +746,DeepMind Lab,deepmind/lab,reinforcement-learning,,https://github.com/deepmind/lab,https://github.com/deepmind/lab,,2016-11-30 13:41:26.000,2023-01-04 15:38:37.000000,2023-01-04 15:19:06,509.0,15.0,1371,471.0,21.0,59.0,165.0,6839,A customisable 3D platform for agent-based AI research.,9.0,19,False,2020-12-07 11:26:33.000,release-2020-12-07,8.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +747,PySlowFast,facebookresearch/SlowFast,image,,https://github.com/facebookresearch/SlowFast,https://github.com/facebookresearch/SlowFast,Apache-2.0,2019-08-20 22:47:26.000,2023-03-06 21:12:36.000000,2023-01-12 01:33:25,184.0,2.0,1068,98.0,44.0,331.0,269.0,5503,PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.,29.0,19,True,,,1.0,pyslowfast,,,,['pytorch'],10.0,10.0,https://pypi.org/project/pyslowfast,2020-01-15 23:51:07.000,,12.0,12.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +748,micrograd,karpathy/micrograd,pytorch-utils,,https://github.com/karpathy/micrograd,https://github.com/karpathy/micrograd,MIT,2020-04-13 04:31:18.000,2023-02-15 21:08:26.000000,2020-04-18 19:15:25,24.0,,476,95.0,19.0,18.0,7.0,4319,A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API.,2.0,19,False,2020-04-18 19:06:59.000,0.1.0,1.0,micrograd,,,,['pytorch'],19.0,17.0,https://pypi.org/project/micrograd,2020-04-18 19:06:59.000,2.0,4797.0,4797.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +749,igel,nidhaloff/igel,hyperopt,,https://github.com/nidhaloff/igel,https://github.com/nidhaloff/igel,MIT,2020-08-27 20:54:59.000,2022-02-06 17:34:49.000000,2022-02-06 17:34:49,427.0,,161,64.0,53.0,6.0,44.0,3032,"a delightful machine learning tool that allows you to train, test, and use models without writing code.",19.0,19,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 16:44:23.000,,146.0,147.0,,,,,,,,3.0,33.0,,,,,,,,,,,,,,,,,,, +750,pytorchviz,szagoruyko/pytorchviz,pytorch-utils,,https://github.com/szagoruyko/pytorchviz,https://github.com/szagoruyko/pytorchviz,MIT,2018-01-30 15:37:55.000,2021-07-15 01:54:59.000000,2021-06-15 18:41:51,22.0,,252,31.0,18.0,27.0,36.0,2589,A small package to create visualizations of PyTorch execution graphs.,6.0,19,False,,,,,,,,,977.0,977.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +751,scenic,google-research/scenic,image,,https://github.com/google-research/scenic,https://github.com/google-research/scenic,Apache-2.0,2021-07-12 14:27:08.000,2023-03-15 18:40:31.000000,2023-03-15 16:52:46,508.0,52.0,261,33.0,598.0,129.0,64.0,1821,Scenic: A Jax Library for Computer Vision Research and Beyond.,61.0,19,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +752,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,,155,46.0,3.0,13.0,15.0,1515,"Implementation of LambdaNetworks, a new approach to image recognition that reaches SOTA with less compute.",3.0,19,False,2020-11-18 08:19:23.000,0.4.0,11.0,lambda-networks,,,,['pytorch'],6.0,6.0,https://pypi.org/project/lambda-networks,2020-11-18 08:19:23.000,,3209.0,3209.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +753,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,,249,56.0,65.0,8.0,31.0,1297,Advbox is a toolbox to generate adversarial examples that fool neural networks in..,19.0,19,True,2018-12-05 02:48:50.000,0.4.1,2.0,advbox,,,,,,,https://pypi.org/project/advbox,2018-12-05 02:48:50.000,,35.0,35.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +754,Torch-Struct,harvardnlp/pytorch-struct,pytorch-utils,,https://github.com/harvardnlp/pytorch-struct,https://github.com/harvardnlp/pytorch-struct,MIT,2019-08-26 19:34:30.000,2022-04-20 08:21:20.000000,2022-01-30 19:49:08,271.0,,86,33.0,72.0,24.0,30.0,1064,"Fast, general, and tested differentiable structured prediction in PyTorch.",16.0,19,False,2021-02-15 20:20:59.000,0.5,2.0,torch-struct,,,,['pytorch'],,,https://pypi.org/project/torch-struct,2021-02-14 02:43:46.000,,66033.0,66033.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +755,TextBox,RUCAIBox/TextBox,nlp,,https://github.com/RUCAIBox/TextBox,https://github.com/RUCAIBox/TextBox,MIT,2020-11-08 07:35:46.000,2023-02-25 01:43:21.000000,2023-02-25 01:43:21,1340.0,59.0,97,17.0,288.0,3.0,42.0,922,TextBox 2.0 is a text generation library with pre-trained language models.,18.0,19,True,2022-12-28 02:06:22.000,2.0.0,10.0,textbox,,,,,5.0,5.0,https://pypi.org/project/textbox,2021-04-15 09:35:06.000,,1.0,1.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +756,ADTK,arundo/adtk,time-series-data,,https://github.com/arundo/adtk,https://github.com/arundo/adtk,MPL-2.0,2019-09-27 00:34:22.000,2021-07-18 06:52:12.000000,2020-04-17 02:27:44,79.0,,127,27.0,73.0,38.0,36.0,919,A Python toolkit for rule-based/unsupervised anomaly detection in time series.,11.0,19,False,2020-04-17 02:18:00.000,0.6.2,13.0,adtk,conda-forge/adtk,,,,1.0,,https://pypi.org/project/adtk,2020-04-17 02:18:00.000,1.0,241281.0,241455.0,https://anaconda.org/conda-forge/adtk,2020-04-20 19:46:14.062,6279.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +757,AutoGL,THUMNLab/AutoGL,graph,,https://github.com/THUMNLab/AutoGL,https://github.com/THUMNLab/AutoGL,Apache-2.0,2020-11-30 14:26:22.000,2023-01-04 15:04:24.000000,2022-12-30 06:04:33,733.0,64.0,106,28.0,108.0,7.0,21.0,904,An autoML framework & toolkit for machine learning on graphs.,15.0,19,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,,,,,,,,,,,,,,,,,,,, +758,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,,139,15.0,24.0,57.0,69.0,837,PyTorch to Keras model convertor.,13.0,19,False,2020-05-14 10:03:56.000,0.2.4,23.0,pytorch2keras,,,,,70.0,69.0,https://pypi.org/project/pytorch2keras,2020-05-14 10:03:56.000,1.0,599.0,599.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +759,sklearn-deap,rsteca/sklearn-deap,hyperopt,,https://github.com/rsteca/sklearn-deap,https://github.com/rsteca/sklearn-deap,MIT,2015-10-28 22:52:34.000,2022-12-29 13:21:52.000000,2021-07-30 15:06:27,104.0,,124,30.0,27.0,21.0,34.0,715,Use evolutionary algorithms instead of gridsearch in scikit-learn.,23.0,19,False,2021-07-30 15:13:54.000,0.3.0,14.0,sklearn-deap,,,,['sklearn'],41.0,39.0,https://pypi.org/project/sklearn-deap,2021-07-30 15:13:54.000,2.0,642.0,642.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +760,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 19:03:34.000,2022-12-27 15:34:10.000000,2020-04-25 18:37:42,198.0,,99,25.0,48.0,19.0,35.0,701,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,,,,,20.0,20.0,https://pypi.org/project/matrixprofile-ts,2019-08-08 01:24:38.000,,680.0,680.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +761,finetune,IndicoDataSolutions/finetune,nlp,,https://github.com/IndicoDataSolutions/finetune,https://github.com/IndicoDataSolutions/finetune,MPL-2.0,2018-06-12 17:02:16.000,2023-03-16 12:18:39.000000,2023-03-02 14:01:56,1491.0,2.0,74,35.0,614.0,23.0,117.0,674,Scikit-learn style model finetuning for NLP.,20.0,19,True,2020-01-10 22:42:24.000,0.8.6,38.0,finetune,,,,"['tensorflow', 'sklearn']",11.0,9.0,https://pypi.org/project/finetune,2021-12-20 14:14:00.000,2.0,141.0,141.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +762,cuSignal,rapidsai/cusignal,gpu-utilities,,https://github.com/rapidsai/cusignal,https://github.com/rapidsai/cusignal,Apache-2.0,2019-08-22 14:27:27.000,2023-03-06 20:27:07.000000,2023-03-06 20:27:03,1271.0,28.0,110,42.0,411.0,21.0,129.0,663,GPU accelerated signal processing.,44.0,19,True,2023-02-09 15:48:50.000,23.02.00,18.0,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +763,tcav,tensorflow/tcav,interpretability,,https://github.com/tensorflow/tcav,https://github.com/tensorflow/tcav,Apache-2.0,2018-07-03 17:45:35.000,2022-11-22 07:53:52.000000,2021-09-16 17:56:31,171.0,,143,35.0,77.0,14.0,54.0,565,Code for the TCAV ML interpretability project.,19.0,19,False,2021-02-23 16:17:42.000,0.2.2,4.0,tcav,,,,['tensorflow'],20.0,17.0,https://pypi.org/project/tcav,2021-02-23 16:17:42.000,3.0,153.0,153.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +764,N2,kakao/n2,nn-search,,https://github.com/kakao/n2,https://github.com/kakao/n2,Apache-2.0,2017-11-23 02:27:59.000,2021-05-20 05:41:36.000000,2021-05-20 05:39:44,264.0,,69,40.0,16.0,12.0,22.0,544,TOROS N2 - lightweight approximate Nearest Neighbor library which runs fast even with large datasets.,18.0,19,False,2020-10-16 03:43:47.000,0.1.7,9.0,n2,,,,,29.0,26.0,https://pypi.org/project/n2,2020-10-16 03:10:01.000,3.0,725.0,725.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +765,seglearn,dmbee/seglearn,time-series-data,,https://github.com/dmbee/seglearn,https://github.com/dmbee/seglearn,BSD-3-Clause,2018-03-05 20:53:59.000,2022-08-27 09:04:02.113000,2022-08-27 09:00:35,283.0,,64,30.0,31.0,6.0,24.0,543,Python module for machine learning time series:.,14.0,19,True,2022-08-27 09:04:02.113,1.2.5,24.0,seglearn,,,,,36.0,35.0,https://pypi.org/project/seglearn,2022-08-27 09:04:02.113,1.0,813.0,813.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +766,Poutyne,GRAAL-Research/poutyne,pytorch-utils,,https://github.com/GRAAL-Research/poutyne,https://github.com/GRAAL-Research/poutyne,LGPL-3.0,2017-12-07 18:30:17.000,2022-12-28 17:45:22.000000,2022-12-02 22:39:51,750.0,,61,18.0,107.0,8.0,45.0,540,A simplified framework and utilities for PyTorch.,19.0,19,False,2022-12-02 22:43:43.000,1.14,33.0,poutyne,,,,['pytorch'],111.0,106.0,https://pypi.org/project/poutyne,2022-12-02 22:44:33.020,5.0,5561.0,5561.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +767,DESlib,scikit-learn-contrib/DESlib,sklearn-utils,,https://github.com/scikit-learn-contrib/DESlib,https://github.com/scikit-learn-contrib/DESlib,BSD-3-Clause,2017-12-08 22:49:49.000,2023-02-27 22:51:28.000000,2023-02-27 22:51:28,276.0,1.0,73,13.0,125.0,14.0,135.0,433,A Python library for dynamic classifier and ensemble selection.,15.0,19,True,2021-02-08 06:29:25.000,0.3.5,4.0,deslib,,,,['sklearn'],38.0,36.0,https://pypi.org/project/deslib,2021-02-08 06:29:25.000,2.0,6922.0,6922.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +768,SUOD,yzhao062/SUOD,others,,https://github.com/yzhao062/SUOD,https://github.com/yzhao062/SUOD,BSD-2-Clause,2019-11-20 00:23:54.000,2022-07-07 13:45:09.000000,2022-07-07 13:45:02,146.0,,42,15.0,1.0,7.0,3.0,345,(MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous Outlier Detection (Anomaly Detection).,2.0,19,True,2021-10-01 18:05:35.000,0.0.8,9.0,suod,,,,,470.0,470.0,https://pypi.org/project/suod,2021-10-01 18:05:35.000,,29022.0,29022.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +769,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,,20,9.0,9.0,,9.0,320,Fast PyTorch based DSP for audio and 1D signals.,2.0,19,True,2022-09-20 06:43:57.063,0.2.7,11.0,julius,,,,['pytorch'],272.0,267.0,https://pypi.org/project/julius,2022-09-20 06:43:57.063,5.0,68807.0,68807.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +770,textaugment,dsfsi/textaugment,nlp,,https://github.com/dsfsi/textaugment,https://github.com/dsfsi/textaugment,MIT,2019-05-06 12:28:19.000,2023-01-25 05:25:01.000000,2022-05-17 17:14:41,62.0,,55,8.0,9.0,7.0,13.0,306,TextAugment: Text Augmentation Library.,6.0,19,True,2020-11-05 15:04:26.000,1.3.4,8.0,textaugment,,,,,43.0,42.0,https://pypi.org/project/textaugment,2020-11-05 15:02:11.000,1.0,3758.0,3759.0,,,,,,,,3.0,54.0,,,,,,,,,,,,,,,,,,, +771,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,,24,22.0,239.0,24.0,25.0,300,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 14:05:21.000,1.0,150.0,150.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +772,tsflex,predict-idlab/tsflex,time-series-data,,https://github.com/predict-idlab/tsflex,https://github.com/predict-idlab/tsflex,MIT,2021-07-06 15:16:45.577,2023-02-24 12:14:10.000000,2023-02-24 09:59:07,774.0,27.0,17,5.0,59.0,26.0,14.0,238,Flexible time series feature extraction & processing.,5.0,19,False,2023-02-23 13:56:43.000,0.3.0,36.0,tsflex,conda-forge/tsflex,,,,4.0,4.0,https://pypi.org/project/tsflex,2022-10-11 21:38:11.312,,676.0,1329.0,https://anaconda.org/conda-forge/tsflex,2022-10-12 07:05:42.735,13069.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +773,numerizer,jaidevd/numerizer,nlp,,https://github.com/jaidevd/numerizer,https://github.com/jaidevd/numerizer,MIT,2019-12-02 07:00:34.000,2023-01-03 08:08:01.830000,2023-01-03 08:01:17,22.0,2.0,22,6.0,10.0,2.0,7.0,200,A Python module to convert natural language numerics into ints and floats.,4.0,19,False,2023-01-03 08:08:01.830,0.2.2,10.0,numerizer,,,,,45.0,45.0,https://pypi.org/project/numerizer,2023-01-03 08:08:01.830,,3686.0,3686.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +774,OMLT,cog-imperial/omlt,model-serialisation,,https://github.com/cog-imperial/OMLT,https://github.com/cog-imperial/OMLT,BSD-3-Clause,2021-06-03 12:39:38.000,2023-02-11 19:28:26.000000,2022-11-28 08:00:21,399.0,,38,14.0,58.0,8.0,23.0,186,Represent trained machine learning models as Pyomo optimization formulations.,13.0,19,False,2022-01-21 16:05:52.000,0.3.1,7.0,omlt,,,,,1.0,,https://pypi.org/project/omlt,2022-02-08 01:23:07.000,1.0,23260.0,23260.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +775,upgini,upgini/upgini,tabular,,https://github.com/upgini/upgini,https://github.com/upgini/upgini,BSD-3-Clause,2021-12-08 21:53:58.000,2023-03-14 16:31:34.000000,2023-03-14 16:31:22,472.0,51.0,16,4.0,189.0,2.0,,185,Free automated data enrichment library for machine learning searches through thousands of ready-to-use features from..,9.0,19,False,2023-03-14 16:33:01.178,1.1.102,328.0,upgini,,,,,1.0,1.0,https://pypi.org/project/upgini,2022-06-30 22:13:17.000,,3778.0,3778.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +776,nvidia-ml-py3,nicolargo/nvidia-ml-py3,gpu-utilities,,https://github.com/nicolargo/nvidia-ml-py3,https://github.com/nicolargo/nvidia-ml-py3,BSD-3-Clause,2017-06-03 07:47:03.000,2021-07-24 06:21:40.748000,2019-03-06 20:41:09,5.0,,57,4.0,1.0,2.0,,97,Python 3 Bindings for the NVIDIA Management Library.,2.0,19,False,2017-06-03 07:43:46.000,7.352.0,1.0,nvidia-ml-py3,anaconda/nvidia-ml,,,,7239.0,7106.0,https://pypi.org/project/nvidia-ml-py3,2017-06-03 07:43:46.000,133.0,418355.0,418386.0,https://anaconda.org/anaconda/nvidia-ml,2021-07-24 06:21:40.748,635.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +777,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,,736,337.0,58.0,2.0,,6443,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,,113.0,120.0,,,,,,,,3.0,267.0,,,,,,,,,,,,,,,,,,, +778,finmarketpy,cuemacro/finmarketpy,financial-data,,https://github.com/cuemacro/finmarketpy,https://github.com/cuemacro/finmarketpy,Apache-2.0,2015-02-19 23:32:03.000,2022-12-20 12:08:59.000000,2022-12-20 12:08:50,680.0,1.0,449,216.0,16.0,24.0,3.0,3072,Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians).,14.0,18,True,2021-10-07 14:58:03.000,0.11.11,12.0,finmarketpy,,,,,7.0,7.0,https://pypi.org/project/finmarketpy,2021-10-07 14:58:03.000,,89.0,89.0,,,,,,,,3.0,44.0,,,,,,,,,,,,,,,,,,, +779,Spotlight,maciejkula/spotlight,recommender-systems,,https://github.com/maciejkula/spotlight,https://github.com/maciejkula/spotlight,MIT,2017-06-25 18:52:19.000,2022-12-21 23:38:02.000000,2020-02-09 21:03:48,299.0,,406,109.0,83.0,67.0,48.0,2839,Deep recommender models using PyTorch.,11.0,18,False,2019-09-08 10:19:53.000,0.1.6,7.0,,maciejkula/spotlight,,,['pytorch'],,,,,,,119.0,https://anaconda.org/maciejkula/spotlight,2018-05-27 18:32:12.235,8236.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +780,NeuroNER,Franck-Dernoncourt/NeuroNER,nlp,,https://github.com/Franck-Dernoncourt/NeuroNER,https://github.com/Franck-Dernoncourt/NeuroNER,MIT,2017-03-07 01:24:15.000,2022-11-21 21:16:50.000000,2019-10-02 23:26:11,132.0,,463,84.0,35.0,84.0,67.0,1646,Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.,7.0,18,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,,149.0,149.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +781,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,,66,14.0,1004.0,125.0,65.0,1614,Version control for machine learning.,17.0,18,True,2021-03-11 21:15:01.000,0.4.2,7.0,keepsake,,,,,,,https://pypi.org/project/keepsake,2021-03-11 21:15:01.000,,212.0,212.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +782,GraphGym,snap-stanford/GraphGym,graph,,https://github.com/snap-stanford/GraphGym,https://github.com/snap-stanford/GraphGym,MIT,2020-10-14 05:01:35.000,2023-03-14 23:02:49.000000,2023-03-14 23:02:49,75.0,4.0,154,22.0,16.0,12.0,27.0,1297,Platform for designing and evaluating Graph Neural Networks (GNN).,6.0,18,True,2022-03-24 23:28:17.000,0.4.0,3.0,graphgym,,,,,2.0,2.0,https://pypi.org/project/graphgym,2022-03-24 23:19:13.000,,72.0,73.0,,,,,,,,3.0,21.0,,,,,,,,,,,,,,,,,,, +783,FinQuant,fmilthaler/FinQuant,financial-data,,https://github.com/fmilthaler/FinQuant,https://github.com/fmilthaler/FinQuant,MIT,2019-01-20 15:07:19.000,2022-09-10 19:14:50.000000,2020-05-03 16:12:29,469.0,,134,36.0,43.0,19.0,11.0,922,"A program for financial portfolio management, analysis and optimisation.",9.0,18,False,2020-05-03 16:19:19.000,0.2.2,6.0,FinQuant,,,,,33.0,33.0,https://pypi.org/project/FinQuant,2020-05-03 16:19:19.000,,278.0,278.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +784,robustness,MadryLab/robustness,adversarial,,https://github.com/MadryLab/robustness,https://github.com/MadryLab/robustness,MIT,2019-08-21 09:26:33.000,2022-10-24 19:29:28.000000,2022-02-14 20:43:06,145.0,,149,18.0,41.0,21.0,56.0,775,"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,,,,116.0,114.0,https://pypi.org/project/robustness,2020-12-01 06:21:33.000,2.0,391.0,579.0,https://anaconda.org/conda-forge/robustness,2021-04-30 19:03:43.367,5854.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +785,Auto TS,AutoViML/Auto_TS,time-series-data,,https://github.com/AutoViML/Auto_TS,https://github.com/AutoViML/Auto_TS,Apache-2.0,2020-02-15 15:23:32.000,2023-03-05 13:03:18.000000,2023-03-05 13:03:18,268.0,7.0,97,17.0,18.0,10.0,72.0,557,"Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of..",8.0,18,True,2022-08-16 12:44:30.642,0.0.68,31.0,auto-ts,,,,,,,https://pypi.org/project/auto-ts,2022-08-16 12:44:30.642,,4666.0,4666.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +786,opytimizer,gugarosa/opytimizer,hyperopt,,https://github.com/gugarosa/opytimizer,https://github.com/gugarosa/opytimizer,Apache-2.0,2017-11-01 16:04:01.000,2023-02-24 14:52:25.000000,2023-02-24 14:52:25,807.0,4.0,36,14.0,15.0,2.0,19.0,555,Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.,4.0,18,True,2022-09-09 15:00:41.386,3.1.2,26.0,opytimizer,,,,,13.0,13.0,https://pypi.org/project/opytimizer,2022-09-09 15:00:41.386,,226.0,226.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +787,Auto Tune Models,HDI-Project/ATM,hyperopt,,https://github.com/HDI-Project/ATM,https://github.com/HDI-Project/ATM,MIT,2016-10-14 18:03:00.000,2020-02-21 17:44:07.000000,2020-02-21 17:40:58,775.0,,137,59.0,72.0,18.0,71.0,522,"Auto Tune Models - A multi-tenant, multi-data system for automated machine learning (model selection and tuning).",16.0,18,False,2019-07-30 09:28:26.000,0.2.2,14.0,atm,,,,,14.0,14.0,https://pypi.org/project/atm,2019-07-30 09:25:11.000,,97.0,97.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +788,apricot,jmschrei/apricot,others,,https://github.com/jmschrei/apricot,https://github.com/jmschrei/apricot,MIT,2018-08-12 02:42:12.000,2021-11-18 21:06:56.000000,2021-11-18 21:06:54,172.0,,45,9.0,8.0,10.0,19.0,465,apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine..,4.0,18,False,2020-09-28 07:19:15.000,0.6.0,13.0,apricot-select,,,,,45.0,42.0,https://pypi.org/project/apricot-select,2020-09-28 07:19:15.000,3.0,403.0,403.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,, +789,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,,32,15.0,148.0,39.0,66.0,443,A High Level API for Deep Learning in JAX.,18.0,18,True,2022-03-23 21:51:07.000,0.8.6,33.0,elegy,,,,"['tensorflow', 'jax']",38.0,38.0,https://pypi.org/project/elegy,2022-04-22 15:42:03.000,,1080.0,1080.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +790,Case Recommender,caserec/CaseRecommender,recommender-systems,,https://github.com/caserec/CaseRecommender,https://github.com/caserec/CaseRecommender,MIT,2015-11-12 18:25:39.000,2021-11-25 23:19:05.000000,2021-11-25 23:08:43,204.0,,85,24.0,18.0,7.0,20.0,442,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'],10.0,10.0,https://pypi.org/project/caserecommender,2021-11-25 23:19:05.000,,215.0,215.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +791,fastT5,Ki6an/fastT5,nlp,,https://github.com/Ki6an/fastT5,https://github.com/Ki6an/fastT5,Apache-2.0,2021-03-11 08:46:42.000,2022-04-05 03:23:12.000000,2022-04-05 03:21:24,38.0,,52,11.0,9.0,16.0,40.0,435,boost inference speed of T5 models by 5x & reduce the model size by 3x.,5.0,18,True,2022-04-05 03:23:12.000,0.1.4,14.0,fastt5,,,,,28.0,28.0,https://pypi.org/project/fastt5,2022-04-05 03:23:12.000,,1453.0,1453.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +792,Sematch,gsi-upm/sematch,graph,,https://github.com/gsi-upm/sematch,https://github.com/gsi-upm/sematch,Apache-2.0,2012-11-30 11:11:53.000,2023-02-02 12:13:56.000000,2019-03-27 03:17:24,122.0,,105,70.0,6.0,14.0,19.0,405,semantic similarity framework for knowledge graph.,5.0,18,False,2017-04-17 10:56:52.000,1.0.4,5.0,sematch,,,,,38.0,35.0,https://pypi.org/project/sematch,2017-04-17 10:56:52.000,3.0,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +793,animatplot,t-makaro/animatplot,data-viz,,https://github.com/t-makaro/animatplot,https://github.com/t-makaro/animatplot,MIT,2017-04-03 00:54:04.000,2021-04-07 10:46:25.000000,2020-10-05 06:14:18,178.0,,38,10.0,29.0,17.0,17.0,398,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,,,,45.0,43.0,https://pypi.org/project/animatplot,2020-10-05 06:20:52.000,2.0,402.0,619.0,https://anaconda.org/conda-forge/animatplot,2020-10-06 02:02:00.460,10671.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +794,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 16:48:58.000,2023-03-01 18:20:42.000000,2023-01-18 12:55:42,253.0,2.0,77,20.0,229.0,10.0,14.0,363,A toolkit that streamlines and automates the generation of model cards.,20.0,18,True,2022-04-28 16:34:21.000,1.3.2,10.0,model-card-toolkit,,,,,13.0,13.0,https://pypi.org/project/model-card-toolkit,2022-04-28 16:34:21.000,,1462.0,1462.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +795,Camphr,PKSHATechnology-Research/camphr,nlp,,https://github.com/PKSHATechnology-Research/camphr,https://github.com/PKSHATechnology-Research/camphr,Apache-2.0,2020-02-10 03:39:58.000,2022-12-09 05:56:02.000000,2021-08-18 06:06:51,1404.0,,16,5.0,217.0,4.0,26.0,342,Camphr - NLP libary for creating pipeline components.,8.0,18,False,2021-07-28 07:48:46.000,0.10.0,49.0,camphr,,,,['spacy'],14.0,12.0,https://pypi.org/project/camphr,2021-07-28 07:48:46.000,2.0,349.0,349.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +796,Sherpa,sherpa-ai/sherpa,hyperopt,,https://github.com/sherpa-ai/sherpa,https://github.com/sherpa-ai/sherpa,GPL-3.0,2018-05-16 21:41:54.000,2020-10-18 07:57:50.000000,2020-10-18 07:57:48,823.0,,51,11.0,60.0,16.0,41.0,320,"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,,,,,29.0,27.0,https://pypi.org/project/parameter-sherpa,2019-11-23 21:32:27.000,2.0,506.0,506.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +797,pandas-ml,pandas-ml/pandas-ml,others,,https://github.com/pandas-ml/pandas-ml,https://github.com/pandas-ml/pandas-ml,BSD-3-Clause,2015-02-21 03:14:04.000,2020-08-14 12:29:33.000000,2019-03-05 01:36:55,153.0,,71,19.0,93.0,25.0,18.0,302,"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 01:35:23.000,11.0,7016.0,7016.0,,,,,,,,3.0,6.0,,,,,,,,,,,,,,,,,,, +798,fairness-indicators,tensorflow/fairness-indicators,interpretability,,https://github.com/tensorflow/fairness-indicators,https://github.com/tensorflow/fairness-indicators,Apache-2.0,2019-09-30 22:56:45.000,2023-02-08 19:39:58.000000,2023-02-07 22:25:53,311.0,1.0,78,24.0,315.0,18.0,9.0,300,Tensorflows Fairness Evaluation and Visualization Toolkit.,33.0,18,True,2022-12-13 19:06:03.653,0.43.0,29.0,fairness-indicators,,,,"['tensorflow', 'jupyter']",,,https://pypi.org/project/fairness-indicators,2022-12-13 19:06:03.653,,953.0,953.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +799,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,,18,13.0,271.0,70.0,175.0,293,datadescribe: Pythonic EDA Accelerator for Data Science.,14.0,18,False,,,5.0,data-describe,,,,,,,https://pypi.org/project/data-describe,2020-12-03 23:07:43.000,,8175.0,8175.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +800,solt,Oulu-IMEDS/solt,image,,https://github.com/Oulu-IMEDS/solt,https://github.com/Oulu-IMEDS/solt,MIT,2018-08-02 15:09:05.000,2022-07-12 07:44:45.000000,2022-07-12 07:44:31,366.0,,19,6.0,30.0,20.0,39.0,258,Streaming over lightweight data transformations.,5.0,18,False,2020-03-10 14:09:31.000,0.1.9,18.0,solt,,,,,45.0,42.0,https://pypi.org/project/solt,2020-03-10 14:09:31.000,3.0,171.0,171.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +801,pymdp,infer-actively/pymdp,others,,https://github.com/infer-actively/pymdp,https://github.com/infer-actively/pymdp,MIT,2019-11-27 19:03:35.000,2023-03-15 15:49:46.000000,2023-03-07 11:36:35,659.0,2.0,40,24.0,71.0,13.0,19.0,246,A Python implementation of active inference for Markov Decision Processes.,13.0,18,False,2022-12-08 15:31:56.000,0.0.7,7.0,inferactively-pymdp,,,,,5.0,5.0,https://pypi.org/project/inferactively-pymdp,2022-12-08 15:25:01.498,,253.0,253.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +802,celer,mathurinm/celer,sklearn-utils,,https://github.com/mathurinm/celer,https://github.com/mathurinm/celer,BSD-3-Clause,2018-02-20 19:37:31.000,2023-02-16 08:59:44.000000,2023-02-16 08:51:04,256.0,1.0,28,11.0,189.0,23.0,72.0,171,"Fast solver for L1-type problems: Lasso, sparse Logisitic regression, Group Lasso, weighted Lasso, Multitask Lasso, etc.",11.0,18,False,2022-07-20 11:16:35.529,0.7.2,14.0,celer,,,,['sklearn'],18.0,18.0,https://pypi.org/project/celer,2022-07-20 11:16:35.529,,622.0,622.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +803,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,,260,52.0,13.0,20.0,13.0,1510,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,,54.0,79.0,,,,https://hub.docker.com/r/tobegit3hub/advisor,2019-11-11 07:09:57.869705,,1677.0,3.0,,,,,,,,,,,,,,,,,,,, +804,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,,139,16.0,11.0,25.0,18.0,1129,Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle..,2.0,17,True,2022-09-20 02:28:33.973,0.7.2,26.0,tez,,,,['pytorch'],41.0,39.0,https://pypi.org/project/tez,2022-09-20 02:28:33.973,2.0,904.0,904.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +805,Fiber,uber/fiber,distributed-ml,,https://github.com/uber/fiber,https://github.com/uber/fiber,Apache-2.0,2020-01-07 18:16:24.000,2022-12-08 03:53:25.000000,2021-03-15 07:00:08,66.0,,109,22.0,37.0,20.0,8.0,1005,Distributed Computing for AI Made Simple.,5.0,17,False,2020-07-09 03:28:28.000,0.2.1,6.0,fiber,,,,,49.0,48.0,https://pypi.org/project/fiber,2020-07-09 03:28:28.000,1.0,107.0,107.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +806,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,,131,44.0,5.0,2.0,7.0,893,XAI - An eXplainability toolbox for machine learning.,3.0,17,False,2021-10-30 06:35:19.000,0.1.0,6.0,xai,,,,,26.0,20.0,https://pypi.org/project/xai,2021-10-30 06:33:26.000,6.0,203.0,203.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +807,Tensor Sensor,parrt/tensor-sensor,pytorch-utils,,https://github.com/parrt/tensor-sensor,https://github.com/parrt/tensor-sensor,MIT,2020-08-28 22:54:04.000,2022-04-07 20:52:55.000000,2022-04-07 20:49:56,235.0,,37,12.0,13.0,8.0,16.0,718,"The goal of this library is to generate more helpful exception messages for matrix algebra expressions for numpy,..",4.0,17,True,2021-12-11 21:24:11.000,1.0,37.0,tensor-sensor,conda-forge/tensor-sensor,,,['pytorch'],16.0,16.0,https://pypi.org/project/tensor-sensor,2021-12-11 21:24:35.000,,2481.0,2590.0,https://anaconda.org/conda-forge/tensor-sensor,2021-12-11 23:37:02.831,1857.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +808,LOFO,aerdem4/lofo-importance,interpretability,,https://github.com/aerdem4/lofo-importance,https://github.com/aerdem4/lofo-importance,MIT,2019-01-14 10:46:46.000,2022-12-08 18:49:19.000000,2022-12-08 18:49:19,28.0,,73,17.0,30.0,4.0,18.0,706,Leave One Feature Out Importance.,4.0,17,True,2022-04-27 12:56:30.000,0.3.2,12.0,lofo-importance,,,,,27.0,25.0,https://pypi.org/project/lofo-importance,2022-04-27 12:56:30.000,2.0,1635.0,1635.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +809,Caer,jasmcaus/caer,image,,https://github.com/jasmcaus/caer,https://github.com/jasmcaus/caer,MIT,2020-08-06 18:36:14.000,2022-10-09 22:43:23.000000,2021-10-13 21:05:33,5078.0,,111,19.0,58.0,2.0,13.0,677,"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,,1.0,,https://pypi.org/project/caer,2021-10-13 21:04:12.000,1.0,2902.0,2902.0,,,,,,,,3.0,19.0,,,,,,,,,,,,,,,,,,, +810,ThunderGBM,Xtra-Computing/thundergbm,ml-frameworks,,https://github.com/Xtra-Computing/thundergbm,https://github.com/Xtra-Computing/thundergbm,Apache-2.0,2016-11-11 09:58:08.000,2022-09-19 20:15:07.376000,2022-09-13 05:57:00,608.0,,87,25.0,4.0,34.0,42.0,657,ThunderGBM: Fast GBDTs and Random Forests on GPUs.,10.0,17,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,,183.0,183.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +811,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,,65,19.0,21.0,29.0,50.0,653,"NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search..",10.0,17,False,2020-06-12 20:05:15.000,0.3.9,26.0,nboost,,,,,3.0,3.0,https://pypi.org/project/nboost,2020-06-12 20:05:15.000,,124.0,124.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +812,parallelformers,tunib-ai/parallelformers,distributed-ml,,https://github.com/tunib-ai/parallelformers,https://github.com/tunib-ai/parallelformers,Apache-2.0,2021-07-17 12:50:43.000,2022-12-06 13:20:46.000000,2022-07-27 19:55:38,93.0,,46,13.0,9.0,22.0,17.0,622,Parallelformers: An Efficient Model Parallelization Toolkit for Deployment.,5.0,17,True,2022-07-27 19:52:00.185,1.2.7,19.0,parallelformers,,,,,17.0,17.0,https://pypi.org/project/parallelformers,2022-07-27 19:52:00.185,,1452.0,1452.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +813,baikal,alegonz/baikal,others,,https://github.com/alegonz/baikal,https://github.com/alegonz/baikal,BSD-3-Clause,2019-01-21 12:59:02.000,2022-12-08 03:38:11.000000,2021-04-11 07:50:00,405.0,,29,18.0,42.0,6.0,18.0,594,A graph-based functional API for building complex scikit-learn pipelines.,2.0,17,False,2020-11-15 13:40:18.000,0.4.2,14.0,baikal,conda-forge/cython-blis,,,,6.0,5.0,https://pypi.org/project/baikal,2020-11-15 13:40:18.000,1.0,67.0,37201.0,https://anaconda.org/conda-forge/cython-blis,2022-11-15 08:47:23.392,1782458.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +814,shap-hypetune,cerlymarco/shap-hypetune,hyperopt,,https://github.com/cerlymarco/shap-hypetune,https://github.com/cerlymarco/shap-hypetune,MIT,2021-05-16 09:30:03.000,2022-08-24 08:33:07.000000,2022-08-24 08:31:37,29.0,,56,5.0,1.0,2.0,23.0,439,A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.,2.0,17,True,2022-08-24 08:33:07.000,0.2.6,9.0,shap-hypetune,,,,,11.0,10.0,https://pypi.org/project/shap-hypetune,2022-08-24 08:33:00.976,1.0,5100.0,5100.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +815,scikit-tda,scikit-tda/scikit-tda,sklearn-utils,,https://github.com/scikit-tda/scikit-tda,https://github.com/scikit-tda/scikit-tda,MIT,2018-04-13 21:00:31.000,2022-03-13 16:33:15.000000,2022-03-13 16:33:15,64.0,,47,18.0,7.0,15.0,4.0,384,Topological Data Analysis for Python.,4.0,17,True,2021-08-03 00:23:20.000,1.0.0,4.0,scikit-tda,,,,['sklearn'],42.0,42.0,https://pypi.org/project/scikit-tda,2021-08-03 00:23:20.000,,4765.0,4765.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +816,pykale,pykale/pykale,others,,https://github.com/pykale/pykale,https://github.com/pykale/pykale,MIT,2020-06-30 08:06:10.000,2023-03-02 00:11:26.000000,2023-01-19 20:20:40,2152.0,4.0,53,11.0,210.0,4.0,87.0,379,Knowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary..,18.0,17,True,2022-08-21 21:20:01.713,0.1.1,11.0,pykale,,,,['pytorch'],,,https://pypi.org/project/pykale,2022-08-21 21:20:01.713,,68.0,68.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +817,datmo,datmo/datmo,ml-experiments,,https://github.com/datmo/datmo,https://github.com/datmo/datmo,MIT,2017-11-03 05:46:43.000,2022-06-21 21:41:58.000000,2019-11-29 00:48:44,1051.0,,29,10.0,121.0,31.0,150.0,342,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,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +818,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,,24,10.0,8.0,1.0,10.0,233,scikit-learn wrappers for Python fastText.,9.0,17,False,2022-02-14 13:45:54.000,0.0.23,18.0,skift,,,,['sklearn'],12.0,12.0,https://pypi.org/project/skift,2022-02-14 13:44:18.000,,2623.0,2623.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +819,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,,33,13.0,36.0,8.0,44.0,215,A library for augmenting annotated audio data.,7.0,17,False,2019-11-15 15:46:21.000,0.4.1,12.0,muda,,,,,19.0,17.0,https://pypi.org/project/muda,2019-11-15 15:46:21.000,2.0,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +820,skggm,skggm/skggm,sklearn-utils,,https://github.com/skggm/skggm,https://github.com/skggm/skggm,MIT,2016-06-11 18:35:56.000,2022-03-11 01:14:19.000000,2022-03-11 01:14:19,702.0,,38,10.0,58.0,30.0,47.0,215,Scikit-learn compatible estimation of general graphical models.,6.0,17,False,2018-09-12 01:12:49.000,0.2.8,6.0,skggm,,,,['sklearn'],11.0,9.0,https://pypi.org/project/skggm,2018-09-12 01:12:49.000,2.0,91.0,91.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +821,dabl,amueller/dabl,sklearn-utils,,https://github.com/amueller/dabl,https://github.com/amueller/dabl,BSD-3-Clause,2020-01-30 18:26:49.000,2023-02-28 01:21:32.000000,2023-02-24 00:50:55,299.0,4.0,8,4.0,3.0,1.0,,122,Data Analysis Baseline Library.,23.0,17,False,2023-02-28 01:21:03.335,0.2.5,15.0,dabl,,,,['sklearn'],,,https://pypi.org/project/dabl,2022-11-03 05:52:04.962,,1488.0,1488.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +822,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 19:54:10,143.0,1.0,784,93.0,51.0,43.0,157.0,5487,Model parallel transformers in JAX and Haiku.,23.0,16,True,,,,,,,,['jax'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +823,OpenNRE,thunlp/OpenNRE,nlp,,https://github.com/thunlp/OpenNRE,https://github.com/thunlp/OpenNRE,MIT,2017-02-26 07:37:12.000,2023-01-03 11:24:22.000000,2023-01-03 11:24:22,166.0,2.0,1028,121.0,22.0,6.0,352.0,3929,An Open-Source Package for Neural Relation Extraction (NRE).,12.0,16,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +824,StarSpace,facebookresearch/StarSpace,ml-frameworks,,https://github.com/facebookresearch/StarSpace,https://github.com/facebookresearch/StarSpace,MIT,2017-06-28 17:50:18.000,2022-12-04 04:02:21.000000,2019-12-13 19:03:25,138.0,,539,181.0,110.0,54.0,149.0,3838,"Learning embeddings for classification, retrieval and ranking.",17.0,16,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +825,GraphEmbedding,shenweichen/GraphEmbedding,graph,,https://github.com/shenweichen/GraphEmbedding,https://github.com/shenweichen/GraphEmbedding,MIT,2019-02-11 16:27:20.000,2022-06-22 11:47:45.000000,2022-06-21 18:24:09,30.0,,912,57.0,12.0,39.0,25.0,3201,Implementation and experiments of graph embedding algorithms.,9.0,16,True,,,,,,,,['sklearn'],23.0,23.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +826,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,,166,60.0,10.0,26.0,6.0,1805,"Provide an input CSV and a target field to predict, generate a model + code to run it.",7.0,16,False,2019-04-05 06:51:04.000,0.2.1,2.0,automl_gs,,,,,,,https://pypi.org/project/automl_gs,2019-04-05 06:47:54.000,,33.0,33.0,,,,,,,,3.0,38.0,,,,,,,,,,,,,,,,,,, +827,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,,109,56.0,34.0,22.0,13.0,1268,"A web-based application for quick, scalable, and automated hyperparameter tuning and stacked ensembling in Python.",6.0,16,False,2017-08-21 00:53:25.000,0.5.1,34.0,xcessiv,,,,,2.0,1.0,https://pypi.org/project/xcessiv,2017-08-21 00:49:41.000,1.0,144.0,144.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +828,madgrad,facebookresearch/madgrad,pytorch-utils,,https://github.com/facebookresearch/madgrad,https://github.com/facebookresearch/madgrad,MIT,2021-01-12 19:41:06.000,2022-03-10 20:23:05.000000,2022-03-10 20:22:58,23.0,,55,19.0,6.0,2.0,7.0,776,MADGRAD Optimization Method.,2.0,16,True,,,3.0,madgrad,,,,['pytorch'],49.0,49.0,https://pypi.org/project/madgrad,2022-03-08 18:23:32.000,,4048.0,4048.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +829,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,,106,26.0,10.0,23.0,51.0,749,Code for High-Precision Model-Agnostic Explanations paper.,10.0,16,True,,,10.0,anchor_exp,,,,,2.0,,https://pypi.org/project/anchor_exp,2020-09-10 22:52:00.000,2.0,1717.0,1717.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +830,FlashTorch,MisaOgura/flashtorch,interpretability,,https://github.com/MisaOgura/flashtorch,https://github.com/MisaOgura/flashtorch,MIT,2019-03-22 13:00:57.000,2022-09-01 12:34:36.000000,2021-04-27 11:10:20,127.0,,86,18.0,15.0,10.0,22.0,702,Visualization toolkit for neural networks in PyTorch! Demo --.,2.0,16,False,2020-05-29 14:39:38.000,0.1.3,12.0,flashtorch,,,,['pytorch'],11.0,11.0,https://pypi.org/project/flashtorch,2020-05-29 14:38:32.000,,297.0,297.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +831,HyperparameterHunter,HunterMcGushion/hyperparameter_hunter,hyperopt,,https://github.com/HunterMcGushion/hyperparameter_hunter,https://github.com/HunterMcGushion/hyperparameter_hunter,MIT,2018-06-01 23:17:00.000,2021-01-20 03:52:41.000000,2021-01-20 03:52:40,1096.0,,98,24.0,101.0,37.0,84.0,700,Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries.,4.0,16,False,2019-08-06 09:09:45.000,3.0.0,16.0,hyperparameter-hunter,,,,,2.0,,https://pypi.org/project/hyperparameter-hunter,2019-08-06 08:52:20.000,2.0,53.0,59.0,,,,,,,,3.0,349.0,,,,,,,,,,,,,,,,,,, +832,SpeedTorch,Santosh-Gupta/SpeedTorch,gpu-utilities,,https://github.com/Santosh-Gupta/SpeedTorch,https://github.com/Santosh-Gupta/SpeedTorch,MIT,2019-09-07 18:57:52.000,2020-02-21 23:13:29.000000,2020-02-21 23:13:28,170.0,,40,26.0,4.0,4.0,2.0,658,Library for faster pinned CPU - GPU transfer in Pytorch.,3.0,16,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 05:27:17.000,2.0,159.0,159.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +833,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,,93,19.0,19.0,3.0,29.0,597,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,,,,,7.0,7.0,https://pypi.org/project/textflint,2022-03-15 07:18:47.000,,168.0,168.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +834,kglib,vaticle/kglib,graph,,https://github.com/vaticle/typedb-ml,https://github.com/vaticle/typedb-ml,Apache-2.0,2018-09-16 16:46:48.000,2022-11-09 16:08:58.000000,2022-11-09 16:08:58,507.0,,98,37.0,106.0,11.0,51.0,538,TypeDB-ML is the Machine Learning integrations library for TypeDB.,11.0,16,True,2022-07-29 11:37:34.000,0.3.0,8.0,grakn-kglib,,,,,,,https://pypi.org/project/grakn-kglib,2020-08-19 15:39:10.000,,99.0,103.0,,,,,,,,3.0,212.0,,,,,,,,,,,vaticle/typedb-ml,,,,,,,, +835,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 21:03:09,298.0,3.0,47,16.0,83.0,18.0,49.0,485,A Pytorch Knowledge Distillation library for benchmarking and extending works in the domains of Knowledge..,6.0,16,True,2022-05-18 08:35:04.000,0.0.32,8.0,KD-Lib,,,,['pytorch'],,,https://pypi.org/project/KD-Lib,2022-05-18 08:35:04.000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +836,tfdeploy,riga/tfdeploy,model-serialisation,,https://github.com/riga/tfdeploy,https://github.com/riga/tfdeploy,BSD-3-Clause,2016-03-07 13:08:21.000,2021-01-08 09:52:54.000000,2021-01-08 09:52:49,170.0,,38,22.0,5.0,11.0,23.0,350,Deploy tensorflow graphs for fast evaluation and export to tensorflow-less environments running numpy.,4.0,16,False,2017-03-30 10:51:26.000,0.4.2,22.0,tfdeploy,,,,['tensorflow'],2.0,,https://pypi.org/project/tfdeploy,2017-03-30 10:51:26.000,2.0,79.0,79.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +837,pdvega,altair-viz/pdvega,data-viz,,https://github.com/altair-viz/pdvega,https://github.com/altair-viz/pdvega,MIT,2018-01-11 21:30:27.000,2019-03-29 16:09:14.000000,2019-03-29 16:09:13,177.0,,33,23.0,21.0,17.0,10.0,344,Interactive plotting for Pandas using Vega-Lite.,9.0,16,False,,,1.0,pdvega,,,,,82.0,75.0,https://pypi.org/project/pdvega,2018-02-01 04:56:43.000,7.0,84.0,84.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +838,bluefog,Bluefog-Lib/bluefog,distributed-ml,,https://github.com/Bluefog-Lib/bluefog,https://github.com/Bluefog-Lib/bluefog,Apache-2.0,2019-12-03 05:27:21.000,2022-05-09 05:59:34.000000,2022-05-09 05:59:34,1093.0,,65,28.0,56.0,29.0,31.0,281,Distributed and decentralized training framework for PyTorch over graph.,8.0,16,False,2021-05-15 01:39:45.000,0.3.0,9.0,bluefog,,,,['pytorch'],,,https://pypi.org/project/bluefog,2021-05-15 01:39:45.000,,58.0,61.0,,,,,,,,3.0,123.0,,,,,,,,,,,,,,,,,,, +839,DeepGraph,deepgraph/deepgraph,graph,,https://github.com/deepgraph/deepgraph,https://github.com/deepgraph/deepgraph,BSD-3-Clause,2015-10-27 12:28:45.000,2022-11-01 22:43:32.937000,2021-06-14 10:58:10,162.0,,39,19.0,1.0,10.0,5.0,271,Analyze Data with Pandas-based Networks. Documentation:.,2.0,16,False,2020-10-01 13:20:38.000,0.2.3,13.0,deepgraph,conda-forge/deepgraph,,,['pandas'],7.0,7.0,https://pypi.org/project/deepgraph,2020-10-01 13:18:38.000,,345.0,2588.0,https://anaconda.org/conda-forge/deepgraph,2022-11-01 22:43:32.937,150288.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +840,chitra,gradsflow/chitra,ml-experiments,,https://github.com/gradsflow/chitra,https://github.com/gradsflow/chitra,Apache-2.0,2020-01-23 14:17:54.000,2022-06-27 17:42:50.000000,2022-06-27 17:42:49,367.0,,37,4.0,130.0,,35.0,213,"A multi-functional library for full-stack Deep Learning. Simplifies Model Building, API development, and Model..",14.0,16,False,2021-11-26 17:10:22.000,0.2.0,38.0,chitra,conda-forge/chitra,,,,,,https://pypi.org/project/chitra,2022-01-09 08:49:42.000,,422.0,554.0,https://anaconda.org/conda-forge/chitra,2022-01-24 02:31:36.059,1861.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +841,nx-altair,Zsailer/nx_altair,data-viz,,https://github.com/Zsailer/nx_altair,https://github.com/Zsailer/nx_altair,MIT,2018-05-13 00:10:12.000,2022-01-08 12:10:11.000000,2020-06-02 21:10:26,51.0,,25,11.0,14.0,6.0,4.0,209,Draw interactive NetworkX graphs with Altair.,3.0,16,False,2020-06-02 21:11:12.000,0.1.6,8.0,nx-altair,,,,['jupyter'],3.0,,https://pypi.org/project/nx-altair,2020-06-02 21:11:12.000,3.0,1466.0,1466.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +842,Parfit,jmcarpenter2/parfit,hyperopt,,https://github.com/jmcarpenter2/parfit,https://github.com/jmcarpenter2/parfit,MIT,2017-11-22 20:17:51.000,2020-04-04 19:26:44.000000,2020-04-04 19:26:37,127.0,,26,4.0,4.0,6.0,5.0,199,"A package for parallelizing the fit and flexibly scoring of sklearn machine learning models, with visualization..",4.0,16,False,,,23.0,parfit,,,,['sklearn'],20.0,20.0,https://pypi.org/project/parfit,2018-10-11 22:03:16.000,,7768.0,7768.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +843,HugsVision,qanastek/HugsVision,image,,https://github.com/qanastek/HugsVision,https://github.com/qanastek/HugsVision,MIT,2021-08-12 21:46:08.000,2023-01-22 01:25:48.000000,2023-01-22 01:25:39,75.0,5.0,17,5.0,2.0,15.0,23.0,175,HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision.,2.0,16,False,2023-01-22 01:21:35.467,0.75.5,78.0,hugsvision,,,,['huggingface'],9.0,9.0,https://pypi.org/project/hugsvision,2023-01-22 01:21:35.467,,702.0,702.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +844,modelkit,Cornerstone-OnDemand/modelkit,model-serialisation,,https://github.com/Cornerstone-OnDemand/modelkit,https://github.com/Cornerstone-OnDemand/modelkit,MIT,2021-05-14 12:10:51.000,2023-01-13 09:15:43.000000,2023-01-13 09:05:01,787.0,28.0,15,8.0,152.0,8.0,19.0,142,Toolkit for developing and maintaining ML models.,15.0,16,False,2023-01-13 09:06:19.213,0.0.27,27.0,modelkit,,,,,,,https://pypi.org/project/modelkit,2023-01-13 09:06:19.213,,492.0,492.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +845,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,,32,,,,,134,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,,827.0,827.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +846,Collie,ShopRunner/collie,recommender-systems,,https://github.com/ShopRunner/collie,https://github.com/ShopRunner/collie,BSD-3-Clause,2021-04-12 20:54:06.000,2023-02-16 04:41:52.000000,2022-08-20 21:55:40,222.0,,20,24.0,47.0,11.0,7.0,98,"A library for preparing, training, and evaluating scalable deep learning hybrid recommender systems using PyTorch.",15.0,16,False,2022-08-20 22:05:06.388,1.3.0,9.0,collie,,,,['pytorch'],21.0,21.0,https://pypi.org/project/collie,2022-08-20 22:05:06.388,,111.0,111.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +847,OpenKE,thunlp/OpenKE,graph,,https://github.com/thunlp/OpenKE,https://github.com/thunlp/OpenKE,MIT,2017-10-08 11:20:23.000,2022-12-20 03:03:28.000000,2022-11-03 07:32:51,114.0,,925,99.0,27.0,11.0,350.0,3367,An Open-Source Package for Knowledge Embedding (KE).,11.0,15,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +848,Euler,alibaba/euler,graph,,https://github.com/alibaba/euler,https://github.com/alibaba/euler,Apache-2.0,2019-01-10 06:32:32.000,2022-10-23 02:22:52.000000,2020-07-29 05:53:01,8.0,,557,141.0,26.0,217.0,102.0,2826,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,,7.0,7.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +849,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,,410,145.0,72.0,8.0,53.0,2169,"A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow.",20.0,15,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +850,MedicalTorch,perone/medicaltorch,medical-data,,https://github.com/perone/medicaltorch,https://github.com/perone/medicaltorch,Apache-2.0,2018-02-27 02:50:07.000,2022-12-27 06:48:51.000000,2021-04-16 18:50:54,57.0,,121,50.0,21.0,15.0,9.0,810,A medical imaging framework for Pytorch.,8.0,15,False,2018-11-24 00:33:11.000,0.2,2.0,medicaltorch,,,,['pytorch'],14.0,14.0,https://pypi.org/project/medicaltorch,2018-11-24 00:29:36.000,,72.0,72.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +851,Translate,pytorch/translate,nlp,,https://github.com/pytorch/translate,https://github.com/pytorch/translate,BSD-3-Clause,2018-04-24 16:44:04.000,2022-06-10 23:07:53.000000,2022-06-10 23:04:56,813.0,,196,46.0,667.0,28.0,27.0,778,Translate - a PyTorch Language Library.,88.0,15,True,,,1.0,pytorch-translate,,,,['pytorch'],,,https://pypi.org/project/pytorch-translate,2018-05-01 19:59:40.000,,17.0,17.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +852,caliban,google/caliban,ml-experiments,,https://github.com/google/caliban,https://github.com/google/caliban,Apache-2.0,2020-06-02 18:12:50.000,2022-02-26 01:11:41.000000,2020-09-25 16:15:35,254.0,,52,21.0,80.0,15.0,13.0,457,"Research workflows made easy, locally and in the Cloud.",9.0,15,False,2020-09-12 19:41:23.000,0.4.1,10.0,caliban,,,,,,,https://pypi.org/project/caliban,2020-09-12 19:41:23.000,,78.0,78.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +853,OpenRec,ylongqi/openrec,recommender-systems,,https://github.com/ylongqi/openrec,https://github.com/ylongqi/openrec,Apache-2.0,2017-11-29 16:04:40.000,2022-11-21 22:15:11.000000,2020-02-19 07:57:17,213.0,,84,37.0,46.0,5.0,12.0,398,OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms.,11.0,15,False,2020-02-18 06:52:11.000,0.3.0,12.0,openrec,,,,,2.0,1.0,https://pypi.org/project/openrec,2020-02-18 06:52:11.000,1.0,31.0,31.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +854,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,,37,15.0,39.0,2.0,13.0,385,High-level batteries-included neural network training library for Pytorch.,4.0,15,False,2021-10-22 03:19:11.000,0.6.5,8.0,pywick,,,,['pytorch'],9.0,9.0,https://pypi.org/project/pywick,2021-10-22 03:19:11.000,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +855,ExplainX.ai,explainX/explainx,interpretability,,https://github.com/explainX/explainx,https://github.com/explainX/explainx,MIT,2020-06-16 14:27:15.000,2022-09-15 18:52:06.000000,2022-09-15 18:52:06,185.0,,43,8.0,13.0,10.0,17.0,334,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line..,4.0,15,True,2021-02-07 11:06:21.000,2.407,56.0,explainx,,,,,,,https://pypi.org/project/explainx,2021-02-04 16:44:24.000,,2854.0,2854.0,,,,,,,,3.0,9.0,,,,,,,,,,,,,,,,,,, +856,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,,33,10.0,8.0,8.0,3.0,288,A Python package for time series augmentation.,4.0,15,False,2020-04-17 02:50:25.000,0.2.1,4.0,tsaug,,,,,,,https://pypi.org/project/tsaug,2020-04-17 02:50:25.000,,1359.0,1359.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +857,NeuralQA,victordibia/neuralqa,nlp,,https://github.com/victordibia/neuralqa,https://github.com/victordibia/neuralqa,MIT,2020-05-19 03:55:56.000,2023-01-06 14:17:43.000000,2020-12-16 17:41:37,312.0,,31,7.0,71.0,31.0,8.0,223,NeuralQA: A Usable Library for Question Answering on Large Datasets with BERT.,3.0,15,False,,,27.0,neuralqa,,,,,4.0,4.0,https://pypi.org/project/neuralqa,2020-09-18 17:54:50.000,,83.0,83.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +858,ipyexperiments,stas00/ipyexperiments,gpu-utilities,,https://github.com/stas00/ipyexperiments,https://github.com/stas00/ipyexperiments,Apache-2.0,2018-11-15 01:19:40.000,2021-12-07 18:50:39.000000,2021-12-07 18:50:38,203.0,,11,6.0,2.0,1.0,5.0,157,jupyter/ipython experiment containers for GPU and general RAM re-use.,3.0,15,False,2021-12-07 18:44:34.000,0.1.28,24.0,ipyexperiments,,,,['jupyter'],10.0,8.0,https://pypi.org/project/ipyexperiments,2021-12-07 18:44:34.000,2.0,143.0,143.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +859,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 19:35:04.000,2023-03-09 13:24:02.000000,2023-03-09 13:23:55,46.0,6.0,11,6.0,4.0,5.0,13.0,85,A spaCy wrapper for DBpedia Spotlight.,5.0,15,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,,2823.0,2823.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +860,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,,788,77.0,34.0,104.0,59.0,2989,Representation learning on large graphs using stochastic graph convolutions.,9.0,14,False,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +861,OpenNE,thunlp/OpenNE,graph,,https://github.com/thunlp/OpenNE,https://github.com/thunlp/OpenNE,MIT,2017-10-08 04:58:20.000,2022-11-30 16:03:14.000000,2022-11-02 02:28:59,99.0,,482,67.0,25.0,5.0,96.0,1620,An Open-Source Package for Network Embedding (NE).,11.0,14,True,,,,,,,,['tensorflow'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +862,Medical Detection Toolkit,MIC-DKFZ/medicaldetectiontoolkit,medical-data,,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,https://github.com/MIC-DKFZ/medicaldetectiontoolkit,Apache-2.0,2018-10-12 12:34:57.000,2022-11-22 12:15:32.000000,2022-04-04 08:29:54,41.0,,294,52.0,16.0,42.0,85.0,1186,"The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN,..",3.0,14,True,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +863,BLINK,facebookresearch/BLINK,nlp,,https://github.com/facebookresearch/BLINK,https://github.com/facebookresearch/BLINK,MIT,2019-09-25 21:27:44.000,2022-07-19 22:06:41.000000,2021-04-02 03:03:34,211.0,,196,39.0,37.0,53.0,34.0,1013,Entity Linker solution.,16.0,14,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +864,VizSeq,facebookresearch/vizseq,nlp,,https://github.com/facebookresearch/vizseq,https://github.com/facebookresearch/vizseq,MIT,2019-08-26 13:19:38.000,2023-01-05 00:02:51.000000,2023-01-02 00:53:52,68.0,1.0,52,17.0,55.0,7.0,9.0,414,"An Analysis Toolkit for Natural Language Generation (Translation, Captioning, Summarization, etc.).",3.0,14,True,2020-08-07 01:13:52.000,0.1.15,16.0,vizseq,,,,,6.0,6.0,https://pypi.org/project/vizseq,2020-08-07 01:13:52.000,,67.0,67.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +865,Adversary,airbnb/artificial-adversary,adversarial,,https://github.com/airbnb/artificial-adversary,https://github.com/airbnb/artificial-adversary,MIT,2018-08-08 04:42:11.000,2022-01-07 11:24:14.000000,2018-08-29 15:31:30,15.0,,55,20.0,6.0,6.0,,376,Tool to generate adversarial text examples and test machine learning models against them.,5.0,14,False,2018-08-29 15:14:41.000,1.1.1,3.0,Adversary,conda-forge/artificial-adversary,,,,8.0,7.0,https://pypi.org/project/Adversary,2018-08-29 15:14:41.000,1.0,39.0,179.0,https://anaconda.org/conda-forge/artificial-adversary,2021-04-30 19:05:10.636,4489.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +866,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,,41,12.0,17.0,2.0,5.0,363,A PyTorch Graph Neural Network Library.,7.0,14,False,2021-10-21 21:43:04.000,0.10.4,18.0,ptgnn,,,,['pytorch'],2.0,2.0,https://pypi.org/project/ptgnn,2021-10-21 21:43:04.000,,172.0,172.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +867,interpret-text,interpretml/interpret-text,interpretability,,https://github.com/interpretml/interpret-text,https://github.com/interpretml/interpret-text,MIT,2019-09-04 16:39:48.000,2023-01-06 03:52:07.000000,2021-12-06 17:38:41,146.0,,64,19.0,167.0,86.0,17.0,361,A library that incorporates state-of-the-art explainers for text-based machine learning models and visualizes the..,17.0,14,False,2021-12-07 15:12:02.000,0.1.3,5.0,interpret-text,,,,['jupyter'],,,https://pypi.org/project/interpret-text,2021-12-07 01:57:31.000,,71.0,71.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +868,NeuralCompression,facebookresearch/NeuralCompression,others,,https://github.com/facebookresearch/NeuralCompression,https://github.com/facebookresearch/NeuralCompression,MIT,2021-07-09 15:14:13.000,2023-03-07 20:40:06.000000,2023-03-07 20:40:06,101.0,2.0,28,16.0,129.0,18.0,59.0,311,A collection of tools for neural compression enthusiasts.,5.0,14,True,2022-01-12 14:55:21.000,0.2.1,3.0,neuralcompression,,,,,,,https://pypi.org/project/neuralcompression,2022-01-12 14:55:21.000,,131.0,131.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +869,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,,18,12.0,57.0,4.0,20.0,291,NLP library designed for reproducible experimentation management.,7.0,14,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,,191.0,191.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +870,TorchDrift,torchdrift/torchdrift,pytorch-utils,,https://github.com/TorchDrift/TorchDrift,https://github.com/TorchDrift/TorchDrift,Apache-2.0,2021-02-10 09:27:48.000,2022-08-26 08:15:45.000000,2022-08-26 08:15:45,38.0,,13,11.0,6.0,5.0,6.0,275,Drift Detection for your PyTorch Models.,4.0,14,False,2021-03-08 12:21:48.000,0.1.0,3.0,torchdrift,,,,['pytorch'],23.0,23.0,https://pypi.org/project/torchdrift,2021-03-08 12:51:05.000,,85.0,85.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +871,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,,40,17.0,7.0,2.0,13.0,231,Easy training and deployment of seq2seq models.,2.0,14,False,2020-01-24 09:06:29.000,1.0.2,30.0,headliner,,,,,5.0,4.0,https://pypi.org/project/headliner,2020-01-24 09:06:29.000,1.0,112.0,112.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +872,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,,12,15.0,14.0,5.0,4.0,230,"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,,,,,1.0,1.0,https://pypi.org/project/backprop,2021-04-20 13:53:12.000,,210.0,210.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +873,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,,32,14.0,54.0,16.0,50.0,135,"Lightweight, Python library for fast and reproducible experimentation.",7.0,14,False,2018-11-23 09:49:59.000,0.1.16,16.0,steppy,,,,,5.0,,https://pypi.org/project/steppy,2018-11-23 09:49:59.000,5.0,65.0,65.0,,,,,,,,3.0,,,-2.0,,,,,,,,,,,,,,,,, +874,LazyCluster,ml-tooling/lazycluster,distributed-ml,,https://github.com/ml-tooling/lazycluster,https://github.com/ml-tooling/lazycluster,Apache-2.0,2019-08-07 08:05:13.000,2023-02-16 02:23:02.000000,2021-08-19 13:59:11,444.0,,11,6.0,20.0,3.0,,44,Distributed machine learning made simple.,2.0,14,False,2020-12-14 15:25:59.000,0.2.4,5.0,lazycluster,,,,,24.0,24.0,https://pypi.org/project/lazycluster,2020-12-14 14:49:33.000,,48.0,48.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +875,ENAS,carpedm20/ENAS-pytorch,hyperopt,,https://github.com/carpedm20/ENAS-pytorch,https://github.com/carpedm20/ENAS-pytorch,Apache-2.0,2018-02-15 04:54:37.000,2020-12-09 18:13:03.000000,2020-06-16 07:23:32,53.0,,475,112.0,11.0,39.0,8.0,2617,PyTorch implementation of Efficient Neural Architecture Search via Parameters Sharing.,6.0,13,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +876,traingenerator,jrieke/traingenerator,others,,https://github.com/jrieke/traingenerator,https://github.com/jrieke/traingenerator,MIT,2020-12-03 16:47:16.000,2022-06-30 14:08:50.000000,2022-06-30 14:05:23,118.0,,171,37.0,9.0,13.0,3.0,1256,A web app to generate template code for machine learning.,3.0,13,True,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +877,GraphVite,DeepGraphLearning/graphvite,graph,,https://github.com/DeepGraphLearning/graphvite,https://github.com/DeepGraphLearning/graphvite,Apache-2.0,2019-07-16 15:48:20.000,2021-01-14 02:19:03.000000,2021-01-14 02:18:46,15.0,,143,31.0,,46.0,58.0,1111,GraphVite: A General and High-performance Graph Embedding System.,1.0,13,False,,,4.0,,milagraph/graphvite,,,,,,,,,,106.0,https://anaconda.org/milagraph/graphvite,2020-03-19 18:21:30.972,4579.0,,,,,3.0,,,,,,,,,,,,,,,,,,,, +878,rliable,google-research/rliable,reinforcement-learning,,https://github.com/google-research/rliable,https://github.com/google-research/rliable,Apache-2.0,2021-08-20 00:41:06.000,2023-02-20 18:14:30.000000,2023-02-20 18:14:30,61.0,2.0,34,9.0,7.0,1.0,11.0,558,"[NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of..",6.0,13,True,,,,rliable`,,,,,50.0,50.0,https://pypi.org/project/rliable`,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +879,atspy,firmai/atspy,time-series-data,,https://github.com/firmai/atspy,https://github.com/firmai/atspy,MIT,2020-01-28 05:00:10.000,2022-11-21 21:55:23.000000,2021-12-18 09:26:18,99.0,,87,20.0,18.0,21.0,2.0,477,AtsPy: Automated Time Series Models in Python (by @firmai).,5.0,13,False,2020-11-12 16:10:48.000,zen,39.0,atspy,,,,,9.0,9.0,https://pypi.org/project/atspy,2020-04-24 18:16:15.000,,295.0,295.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +880,Maze,enlite-ai/maze,reinforcement-learning,,https://github.com/enlite-ai/maze,https://github.com/enlite-ai/maze,Custom,2021-02-11 08:26:37.000,2023-01-20 01:26:45.000000,2022-11-21 12:12:41,1044.0,,9,6.0,25.0,1.0,2.0,227,Maze Applied Reinforcement Learning Framework.,3.0,13,False,2022-11-21 12:23:00.858,0.2.0,21.0,maze-rl,,enliteai/maze,,['pytorch'],2.0,2.0,https://pypi.org/project/maze-rl,2022-11-21 12:23:00.858,,54.0,63.0,,,,https://hub.docker.com/r/enliteai/maze,2021-06-24 21:00:27.801118,,237.0,3.0,,,,,,,,,,,,,,,,,,,, +881,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,,27,7.0,6.0,7.0,8.0,223,"Summarization, translation, sentiment-analysis, text-generation and more at blazing speed using a T5 version..",3.0,13,False,2021-01-28 09:26:15.000,0.1.8,11.0,onnxt5,,,,,1.0,1.0,https://pypi.org/project/onnxt5,2021-01-28 09:26:15.000,,66.0,66.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +882,Auptimizer,LGE-ARC-AdvancedAI/auptimizer,hyperopt,,https://github.com/LGE-ARC-AdvancedAI/auptimizer,https://github.com/LGE-ARC-AdvancedAI/auptimizer,GPL-3.0,2019-09-12 01:08:37.000,2023-01-27 02:15:43.000000,2021-03-03 01:30:06,79.0,,24,22.0,44.0,1.0,5.0,198,An automatic ML model optimization tool.,11.0,13,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,,,,,,,,,,,,,,,,,,,, +883,textvec,textvec/textvec,nlp,,https://github.com/textvec/textvec,https://github.com/textvec/textvec,MIT,2018-04-12 14:03:53.000,2022-07-05 09:43:14.000000,2022-07-05 09:43:05,72.0,,25,8.0,15.0,4.0,6.0,188,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,,26.0,26.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +884,ModelChimp,ModelChimp/modelchimp,ml-experiments,,https://github.com/ModelChimp/modelchimp,https://github.com/ModelChimp/modelchimp,BSD-2-Clause,2018-11-05 08:39:03.000,2023-03-16 11:00:29.000000,2021-08-01 07:11:57,363.0,,12,4.0,1099.0,4.0,10.0,123,Experiment tracking for machine and deep learning projects.,3.0,13,False,2019-04-09 10:43:15.000,0.4.0,37.0,modelchimp,,modelchimp/modelchimp-server,,,,,https://pypi.org/project/modelchimp,2019-04-09 10:41:20.000,,82.0,94.0,,,,https://hub.docker.com/r/modelchimp/modelchimp-server,2019-04-09 10:15:09.532793,,657.0,3.0,,,,,,,,,,,,,,,,,,,, +885,DeepNeuro,QTIM-Lab/DeepNeuro,medical-data,,https://github.com/QTIM-Lab/DeepNeuro,https://github.com/QTIM-Lab/DeepNeuro,MIT,2017-06-01 19:36:34.000,2020-06-24 13:00:15.000000,2020-06-24 13:00:14,285.0,,34,14.0,18.0,27.0,16.0,113,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,,69.0,69.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +886,jaxdf,ucl-bug/jaxdf,jax-utils,,https://github.com/ucl-bug/jaxdf,https://github.com/ucl-bug/jaxdf,LGPL-3.0,2021-09-08 16:38:46.000,2023-03-13 09:13:50.000000,2023-01-25 08:58:59,264.0,37.0,7,6.0,107.0,6.0,2.0,68,A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations.,4.0,13,False,2022-12-28 21:17:17.000,0.2.4,6.0,,,,,['jax'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +887,model_search,google/model_search,hyperopt,,https://github.com/google/model_search,https://github.com/google/model_search,Apache-2.0,2021-01-19 18:26:34.000,2023-03-14 16:25:22.000000,2022-02-09 22:20:11,9.0,,418,97.0,17.0,48.0,15.0,3238,AutoML algorithms for model architecture search at scale.,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +888,MedicalNet,Tencent/MedicalNet,medical-data,,https://github.com/Tencent/MedicalNet,https://github.com/Tencent/MedicalNet,MIT,2019-07-17 09:53:10.000,2022-06-21 22:20:52.000000,2020-08-27 13:37:26,26.0,,382,63.0,5.0,62.0,16.0,1570,Many studies have shown that the performance on deep learning is significantly affected by volume of training data...,1.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +889,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,,292,85.0,11.0,12.0,6.0,1570,Find big moving stocks before they move using machine learning and anomaly detection.,6.0,12,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +890,deltapy,firmai/deltapy,tabular,,https://github.com/firmai/deltapy,https://github.com/firmai/deltapy,MIT,2020-04-08 05:27:53.000,2022-03-01 16:13:48.000000,2022-03-01 16:13:48,42.0,,48,15.0,2.0,2.0,1.0,482,DeltaPy - Tabular Data Augmentation (by @firmai).,4.0,12,True,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,,95.0,95.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +891,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,,9,5.0,,2.0,3.0,111,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']",3.0,3.0,https://pypi.org/project/attributionpriors,2019-10-31 18:03:05.000,,39.0,39.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +892,Hypermax,electricbrainio/hypermax,hyperopt,,https://github.com/electricbrainio/hypermax,https://github.com/electricbrainio/hypermax,BSD-3-Clause,2018-07-27 18:43:01.000,2020-08-02 18:08:50.000000,2020-08-02 18:08:46,207.0,,12,13.0,5.0,3.0,2.0,106,"Better, faster hyper-parameter optimization.",9.0,12,False,2019-10-23 15:40:12.000,0.5.1,11.0,hypermax,,,,,4.0,4.0,https://pypi.org/project/hypermax,2019-10-23 15:40:12.000,,27.0,27.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +893,contextual-ai,SAP/contextual-ai,interpretability,,https://github.com/SAP/contextual-ai,https://github.com/SAP/contextual-ai,Apache-2.0,2020-05-12 07:15:56.000,2022-06-22 02:09:01.000000,2021-11-11 10:53:33,630.0,,10,13.0,22.0,4.0,13.0,82,"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,,46.0,46.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +894,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,,8,6.0,4.0,14.0,18.0,80,"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,,50.0,50.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +895,nptsne,biovault/nptsne,data-viz,,https://github.com/biovault/nptsne,https://github.com/biovault/nptsne,Apache-2.0,2019-06-28 08:40:25.000,2022-03-16 13:45:37.000000,2021-02-03 08:52:27,857.0,,2,3.0,1.0,7.0,6.0,30,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,,147.0,147.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +896,Devol,joeddav/devol,hyperopt,,https://github.com/joeddav/devol,https://github.com/joeddav/devol,MIT,2017-02-10 03:07:54.000,2020-07-05 21:56:59.000000,2020-07-05 21:56:58,116.0,,112,46.0,12.0,7.0,20.0,950,Genetic neural architecture search with Keras.,18.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +897,PySparNN,facebookresearch/pysparnn,nn-search,,https://github.com/facebookresearch/pysparnn,https://github.com/facebookresearch/pysparnn,BSD-3-Clause,2016-03-28 20:43:42.000,2020-10-02 06:01:01.000000,2018-01-31 16:50:23,147.0,,145,40.0,7.0,15.0,14.0,907,Approximate Nearest Neighbor Search for Sparse Data in Python!.,5.0,11,False,,,,,,,,,,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +898,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 16:36:06.000,2022-08-31 00:12:30.000000,2022-08-09 04:03:14,5.0,,31,33.0,2.0,1.0,,608,Reference implementation of the Transformer architecture optimized for Apple Neural Engine (ANE).,1.0,11,False,2022-08-09 04:22:55.000,0.1.3,4.0,ane-transformers,,,,['pytorch'],,,https://pypi.org/project/ane-transformers,2022-08-09 04:22:00.465,,158.0,160.0,,,,,,,,3.0,22.0,,,,,,,,,,,,,,,,,,, +899,autodist,petuum/autodist,distributed-ml,,https://github.com/petuum/autodist,https://github.com/petuum/autodist,Apache-2.0,2020-06-29 19:45:38.000,2022-09-23 22:45:06.000000,2021-01-28 00:04:40,208.0,,24,16.0,51.0,11.0,1.0,126,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,,28.0,28.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +900,bias-detector,intuit/bias-detector,interpretability,,https://github.com/intuit/bias-detector,https://github.com/intuit/bias-detector,MIT,2021-02-02 16:58:52.000,2022-09-29 08:50:58.000000,2022-09-29 08:50:40,122.0,,11,12.0,15.0,,,41,Bias Detector is a python package for detecting bias in machine learning models.,4.0,11,False,2021-04-22 15:20:54.000,0.0.12,11.0,bias-detector,,,,,,,https://pypi.org/project/bias-detector,2021-04-22 15:20:54.000,,119.0,119.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +901,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,,67,17.0,5.0,2.0,11.0,447,An optical music recognition (OMR) system. Converts sheet music to a machine-readable version.,5.0,10,True,,,,,,,,['sklearn'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +902,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,,16,12.0,41.0,6.0,12.0,350,A library for distributed ML training with PyTorch.,6.0,10,True,2022-02-10 16:56:22.000,0.0.9c,1.0,,,,,['pytorch'],3.0,3.0,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +903,textlesslib,facebookresearch/textlesslib,audio,,https://github.com/facebookresearch/textlesslib,https://github.com/facebookresearch/textlesslib,MIT,2022-02-09 16:28:00.000,2022-04-12 19:34:04.000000,2022-03-31 17:27:57,13.0,,37,12.0,8.0,6.0,9.0,395,Library for Textless Spoken Language Processing.,4.0,9,False,,,,,,,,['pytorch'],,,,,,,,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +904,Hypertunity,gdikov/hypertunity,hyperopt,,https://github.com/gdikov/hypertunity,https://github.com/gdikov/hypertunity,Apache-2.0,2019-06-02 12:04:55.000,2020-01-26 23:14:49.000000,2020-01-26 22:53:29,64.0,,10,10.0,44.0,,2.0,136,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,,21.0,21.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +905,pyrtfolio,alvarobartt/pyrtfolio,financial-data,,https://github.com/alvarobartt/pyrtfolio,https://github.com/alvarobartt/pyrtfolio,GPL-3.0,2019-10-06 20:22:12.000,2022-05-14 21:32:20.000000,2020-11-20 09:58:41,19.0,,24,7.0,2.0,2.0,6.0,128,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,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +906,tslumen,hsbc/tslumen,time-series-data,,https://github.com/hsbc/tslumen,https://github.com/hsbc/tslumen,Apache-2.0,2022-11-09 14:06:09.000,2022-11-23 19:03:57.000000,2022-11-22 16:44:39,2.0,,2,4.0,,,,48,A library for Time Series EDA (exploratory data analysis).,2.0,8,False,2022-11-22 17:50:34.944,0.0.1,1.0,tslumen,conda-forge/tslumen,,,,,,https://pypi.org/project/tslumen,2022-11-22 17:50:34.944,,23.0,23.0,https://anaconda.org/conda-forge/tslumen,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, +907,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,,1,3.0,,,,11,Train off-the-shelf machine learning models in one line of code.,,8,False,2020-11-02 02:25:32.000,0.0.3,3.0,traintool,,,,"['pytorch', 'tensorflow', 'sklearn']",,,https://pypi.org/project/traintool,2020-11-02 02:25:32.000,,20.0,20.0,,,,,,,,3.0,,,,,,,,,,,,,,,,,,,, diff --git a/latest-changes.md b/latest-changes.md index d9a9e035..d5663cb6 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._ -- torchvision (🥇42 · ⭐ 13K · 📈) - Datasets, Transforms and Models specific to Computer Vision. BSD-3 -- CuPy (🥇38 · ⭐ 6.7K · 📈) - NumPy & SciPy for GPU. MIT -- GeoPandas (🥇38 · ⭐ 3.6K · 📈) - Python tools for geographic data. BSD-3 -- PyQtGraph (🥈36 · ⭐ 3.1K · 📈) - Fast data visualization and GUI tools for scientific / engineering.. MIT -- tinygrad (🥈28 · ⭐ 11K · 📈) - You like pytorch? You like micrograd? You love tinygrad!. MIT -- AmpliGraph (🥈28 · ⭐ 1.9K · 📈) - Python library for Representation Learning on Knowledge.. Apache-2 -- ffcv (🥉26 · ⭐ 2.4K · 📈) - FFCV: Fast Forward Computer Vision (and other ML workloads!). Apache-2 -- GPyOpt (🥈26 · ⭐ 860 · 📈) - Gaussian Process Optimization using GPy. BSD-3 -- Auto ViML (🥉23 · ⭐ 420 · 📈) - Automatically Build Multiple ML Models with a Single Line of.. Apache-2 -- igel (🥉20 · ⭐ 3K · 💀) - a delightful machine learning tool that allows you to train, test, and use.. MIT +- Streamlit (🥇41 · ⭐ 23K · 📈) - Streamlit The fastest way to build data apps in Python. Apache-2 +- Altair (🥇41 · ⭐ 8.1K · 📈) - Declarative statistical visualization library for Python. BSD-3 +- flair (🥇40 · ⭐ 13K · 📈) - A very simple framework for state-of-the-art Natural Language.. MIT +- stanza (🥈34 · ⭐ 6.5K · 📈) - Official Stanford NLP Python Library for Many Human Languages. Apache-2 +- plotnine (🥈34 · ⭐ 3.4K · 📈) - A grammar of graphics for Python. MIT +- scikit-multilearn (🥈30 · ⭐ 820 · 📈) - A scikit-learn based module for multi-label et. al... BSD-2 +- Sentinelsat (🥉29 · ⭐ 860 · 📈) - Search and download Copernicus Sentinel satellite images. ❗️GPL-3.0 +- Pillow-SIMD (🥉28 · ⭐ 1.9K · 💤) - The friendly PIL fork. ❗️PIL +- quinn (🥉26 · ⭐ 430 · 📈) - pyspark methods to enhance developer productivity. Apache-2 +- scikit-posthocs (🥉22 · ⭐ 270 · 📈) - Multiple Pairwise Comparisons (Post Hoc) Tests in.. MIT ## 📉 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._ -- nltk (🥇44 · ⭐ 12K · 📉) - Suite of libraries and programs for symbolic and statistical natural.. Apache-2 -- Shapely (🥈37 · ⭐ 3.2K · 📉) - Manipulation and analysis of geometric objects. BSD-3 -- Fiona (🥈35 · ⭐ 1K · 📉) - Fiona reads and writes geographic data files. BSD-3 -- imbalanced-learn (🥇34 · ⭐ 6.3K · 📉) - A Python Package to Tackle the Curse of Imbalanced.. MIT -- AzureML SDK (🥈34 · ⭐ 3.6K · 📉) - Python notebooks with ML and deep learning examples with Azure.. MIT -- PennyLane (🥈31 · ⭐ 1.7K · 📉) - PennyLane is a cross-platform Python library for.. Apache-2 -- ArcGIS API (🥉31 · ⭐ 1.5K · 📉) - Documentation and samples for ArcGIS API for Python. Apache-2 -- SALib (🥈31 · ⭐ 690 · 📉) - Sensitivity Analysis Library in Python. Contains Sobol, Morris, FAST,.. MIT -- Model Analysis (🥈30 · ⭐ 1.2K · 📉) - Model analysis tools for TensorFlow. Apache-2 -- Merlin (🥉23 · ⭐ 470 · 📉) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2 +- spaCy (🥇42 · ⭐ 26K · 📉) - Industrial-strength Natural Language Processing (NLP) in Python. MIT +- fairseq (🥇36 · ⭐ 21K · 📉) - Facebook AI Research Sequence-to-Sequence Toolkit written in.. MIT +- pyproj (🥈36 · ⭐ 860 · 📉) - Python interface to PROJ (cartographic projections and coordinate.. MIT +- TextBlob (🥈35 · ⭐ 8.5K · 📉) - Simple, Pythonic, text processing--Sentiment analysis, part-of-.. MIT +- metrics (🥈31 · ⭐ 1.3K · 📉) - Machine learning metrics for distributed, scalable PyTorch.. Apache-2 +- pingouin (🥉28 · ⭐ 1.3K · 📉) - Statistical package in Python based on Pandas. ❗️GPL-3.0 +- pandas-profiling (🥉27 · ⭐ 10K · 📉) - Deprecated pandas-profiling package, use ydata-.. MIT +- StatsForecast (🥈27 · ⭐ 2.3K · 📉) - Lightning fast forecasting with statistical and.. Apache-2 +- Torchmeta (🥉20 · ⭐ 1.8K · 💀) - A collection of extensions and data-loaders for few-shot.. MIT +- steppy (🥉14 · ⭐ 140 · 💀) - Lightweight, Python library for fast and reproducible experimentation. MIT