diff --git a/README.md b/README.md
index 0a321a3..4d64293 100644
--- a/README.md
+++ b/README.md
@@ -101,27 +101,27 @@ _General-purpose machine learning and deep learning frameworks._
Tensorflow (π₯56 Β· β 190K) - An Open Source Machine Learning Framework for Everyone. Apache-2 
-- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.6K Β· π 74K Β· π¦ 370K Β· π 40K - 6% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/tensorflow/tensorflow) (π¨βπ» 4.6K Β· π 74K Β· π¦ 370K Β· π 40K - 7% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/tensorflow/tensorflow
```
-- [PyPi](https://pypi.org/project/tensorflow) (π₯ 23M / month Β· π¦ 7.3K Β· β±οΈ 09.03.2024):
+- [PyPi](https://pypi.org/project/tensorflow) (π₯ 22M / month Β· π¦ 7.3K Β· β±οΈ 09.03.2024):
```
pip install tensorflow
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.6M Β· β±οΈ 23.05.2024):
+- [Conda](https://anaconda.org/conda-forge/tensorflow) (π₯ 4.6M Β· β±οΈ 24.05.2024):
```
conda install -c conda-forge tensorflow
```
-- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 77M Β· β 2.4K Β· β±οΈ 23.05.2024):
+- [Docker Hub](https://hub.docker.com/r/tensorflow/tensorflow) (π₯ 77M Β· β 2.4K Β· β±οΈ 30.05.2024):
```
docker pull tensorflow/tensorflow
```
PyTorch (π₯55 Β· β 79K) - Tensors and Dynamic neural networks in Python with strong GPU.. BSD-3 
-- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.9K Β· π 21K Β· π₯ 42K Β· π¦ 450K Β· π 43K - 32% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/pytorch/pytorch) (π¨βπ» 4.9K Β· π 21K Β· π₯ 42K Β· π¦ 460K Β· π 43K - 32% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/pytorch/pytorch
@@ -137,7 +137,7 @@ _General-purpose machine learning and deep learning frameworks._
scikit-learn (π₯52 Β· β 58K) - scikit-learn: machine learning in Python. BSD-3 
-- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.1K Β· π 25K Β· π₯ 960 Β· π¦ 780K Β· π 11K - 18% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/scikit-learn/scikit-learn) (π¨βπ» 3.1K Β· π 25K Β· π₯ 960 Β· π¦ 790K Β· π 11K - 17% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/scikit-learn/scikit-learn
@@ -146,14 +146,14 @@ _General-purpose machine learning and deep learning frameworks._
```
pip install scikit-learn
```
-- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 28M Β· β±οΈ 21.05.2024):
+- [Conda](https://anaconda.org/conda-forge/scikit-learn) (π₯ 29M Β· β±οΈ 23.05.2024):
```
conda install -c conda-forge scikit-learn
```
Keras (π₯48 Β· β 61K) - Deep Learning for humans. Apache-2
-- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 19K Β· π 12K - 1% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/keras-team/keras) (π¨βπ» 1.3K Β· π 19K Β· π 12K - 1% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/keras-team/keras
@@ -169,7 +169,7 @@ _General-purpose machine learning and deep learning frameworks._
PySpark (π₯45 Β· β 39K) - Apache Spark Python API. Apache-2 
-- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/apache/spark) (π¨βπ» 3.1K Β· π 28K Β· β±οΈ 30.05.2024):
```
git clone https://github.com/apache/spark
@@ -185,12 +185,12 @@ _General-purpose machine learning and deep learning frameworks._
jax (π₯45 Β· β 28K) - Composable transformations of Python+NumPy programs: differentiate,.. Apache-2
-- [GitHub](https://github.com/google/jax) (π¨βπ» 700 Β· π 2.6K Β· π¦ 26K Β· π 5.5K - 29% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/google/jax) (π¨βπ» 700 Β· π 2.6K Β· π¦ 26K Β· π 5.5K - 29% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/google/jax
```
-- [PyPi](https://pypi.org/project/jax) (π₯ 6.8M / month Β· π¦ 1.5K Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/jax) (π₯ 6.4M / month Β· π¦ 1.5K Β· β±οΈ 09.05.2024):
```
pip install jax
```
@@ -201,12 +201,12 @@ _General-purpose machine learning and deep learning frameworks._
XGBoost (π₯45 Β· β 26K) - Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or.. Apache-2
-- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 640 Β· π 8.7K Β· π₯ 8.6K Β· π¦ 92K Β· π 5.2K - 8% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/dmlc/xgboost) (π¨βπ» 640 Β· π 8.7K Β· π₯ 8.6K Β· π¦ 93K Β· π 5.2K - 8% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/dmlc/xgboost
```
-- [PyPi](https://pypi.org/project/xgboost) (π₯ 19M / month Β· π¦ 1.8K Β· β±οΈ 19.12.2023):
+- [PyPi](https://pypi.org/project/xgboost) (π₯ 20M / month Β· π¦ 1.8K Β· β±οΈ 19.12.2023):
```
pip install xgboost
```
@@ -217,56 +217,56 @@ _General-purpose machine learning and deep learning frameworks._
PaddlePaddle (π₯45 Β· β 22K) - PArallel Distributed Deep LEarning: Machine Learning.. Apache-2 
-- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.2K Β· π 5.4K Β· π₯ 15K Β· π¦ 5.2K Β· π 19K - 9% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/PaddlePaddle/Paddle) (π¨βπ» 1.2K Β· π 5.4K Β· π₯ 15K Β· π¦ 5.2K Β· π 19K - 9% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/PaddlePaddle/Paddle
```
-- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 210K / month Β· π¦ 110 Β· β±οΈ 19.03.2024):
+- [PyPi](https://pypi.org/project/paddlepaddle) (π₯ 200K / month Β· π¦ 110 Β· β±οΈ 19.03.2024):
```
pip install paddlepaddle
```
pytorch-lightning (π₯44 Β· β 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2
+StatsModels (π₯45 Β· β 9.6K) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
-- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 950 Β· π 3.3K Β· π₯ 7.5K Β· π¦ 33K Β· π 6.9K - 10% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 430 Β· π 2.8K Β· π₯ 31 Β· π¦ 130K Β· π 5.5K - 50% open Β· β±οΈ 25.05.2024):
```
- git clone https://github.com/Lightning-AI/lightning
+ git clone https://github.com/statsmodels/statsmodels
```
-- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 5.2M / month Β· π¦ 1.4K Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/statsmodels) (π₯ 16M / month Β· π¦ 4K Β· β±οΈ 17.04.2024):
```
- pip install pytorch-lightning
+ pip install statsmodels
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.1M Β· β±οΈ 12.04.2024):
+- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 13M Β· β±οΈ 17.05.2024):
```
- conda install -c conda-forge pytorch-lightning
+ conda install -c conda-forge statsmodels
```
StatsModels (π₯44 Β· β 9.6K Β· π) - Statsmodels: statistical modeling and econometrics in Python. BSD-3
+pytorch-lightning (π₯44 Β· β 27K) - Pretrain, finetune and deploy AI models on multiple.. Apache-2
-- [GitHub](https://github.com/statsmodels/statsmodels) (π¨βπ» 430 Β· π 2.8K Β· π₯ 31 Β· π¦ 120K Β· π 5.5K - 50% open Β· β±οΈ 14.05.2024):
+- [GitHub](https://github.com/Lightning-AI/pytorch-lightning) (π¨βπ» 950 Β· π 3.3K Β· π₯ 7.6K Β· π¦ 33K Β· π 6.9K - 10% open Β· β±οΈ 30.05.2024):
```
- git clone https://github.com/statsmodels/statsmodels
+ git clone https://github.com/Lightning-AI/lightning
```
-- [PyPi](https://pypi.org/project/statsmodels) (π₯ 17M / month Β· π¦ 4K Β· β±οΈ 17.04.2024):
+- [PyPi](https://pypi.org/project/pytorch-lightning) (π₯ 5.3M / month Β· π¦ 1.4K Β· β±οΈ 22.05.2024):
```
- pip install statsmodels
+ pip install pytorch-lightning
```
-- [Conda](https://anaconda.org/conda-forge/statsmodels) (π₯ 13M Β· β±οΈ 17.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch-lightning) (π₯ 1.1M Β· β±οΈ 12.04.2024):
```
- conda install -c conda-forge statsmodels
+ conda install -c conda-forge pytorch-lightning
```
LightGBM (π₯43 Β· β 16K) - A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT,.. MIT
-- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 300 Β· π 3.8K Β· π₯ 220K Β· π¦ 33K Β· π 3.4K - 11% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/microsoft/LightGBM) (π¨βπ» 300 Β· π 3.8K Β· π₯ 220K Β· π¦ 33K Β· π 3.4K - 11% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/microsoft/LightGBM
```
-- [PyPi](https://pypi.org/project/lightgbm) (π₯ 7.7M / month Β· π¦ 1K Β· β±οΈ 26.01.2024):
+- [PyPi](https://pypi.org/project/lightgbm) (π₯ 7.6M / month Β· π¦ 1K Β· β±οΈ 26.01.2024):
```
pip install lightgbm
```
@@ -277,12 +277,12 @@ _General-purpose machine learning and deep learning frameworks._
Catboost (π₯41 Β· β 7.8K) - A fast, scalable, high performance Gradient Boosting on Decision.. Apache-2
-- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 250K Β· π¦ 14 Β· π 2.3K - 22% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/catboost/catboost) (π¨βπ» 1.2K Β· π 1.1K Β· π₯ 250K Β· π¦ 14 Β· π 2.3K - 22% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/catboost/catboost
```
-- [PyPi](https://pypi.org/project/catboost) (π₯ 2.1M / month Β· π¦ 390 Β· β±οΈ 18.04.2024):
+- [PyPi](https://pypi.org/project/catboost) (π₯ 2.2M / month Β· π¦ 390 Β· β±οΈ 18.04.2024):
```
pip install catboost
```
@@ -293,7 +293,7 @@ _General-purpose machine learning and deep learning frameworks._
Fastai (π₯40 Β· β 26K) - The fastai deep learning library. Apache-2
-- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.5K Β· π¦ 17K Β· π 1.8K - 11% open Β· β±οΈ 27.04.2024):
+- [GitHub](https://github.com/fastai/fastai) (π¨βπ» 670 Β· π 7.5K Β· π¦ 17K Β· π 1.8K - 11% open Β· β±οΈ 25.05.2024):
```
git clone https://github.com/fastai/fastai
@@ -303,52 +303,52 @@ _General-purpose machine learning and deep learning frameworks._
pip install fastai
```
Flax (π₯39 Β· β 5.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2 
+Jina (π₯39 Β· β 20K) - Build multimodal AI applications with cloud-native stack. Apache-2
-- [GitHub](https://github.com/google/flax) (π¨βπ» 220 Β· π 590 Β· π₯ 51 Β· π¦ 7.4K Β· π 930 - 23% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 180 Β· π 2.2K Β· π¦ 1.7K Β· π 1.9K - 1% open Β· β±οΈ 16.05.2024):
```
- git clone https://github.com/google/flax
+ git clone https://github.com/jina-ai/jina
```
-- [PyPi](https://pypi.org/project/flax) (π₯ 4.3M / month Β· π¦ 390 Β· β±οΈ 30.04.2024):
+- [PyPi](https://pypi.org/project/jina) (π₯ 38K / month Β· π¦ 27 Β· β±οΈ 10.04.2024):
```
- pip install flax
+ pip install jina
```
-- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 50K Β· β±οΈ 30.04.2024):
+- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 65K Β· β±οΈ 16.06.2023):
```
- conda install -c conda-forge flax
+ conda install -c conda-forge jina-core
+ ```
+- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.3M Β· β 8 Β· β±οΈ 16.05.2024):
+ ```
+ docker pull jinaai/jina
```
PyFlink (π₯38 Β· β 23K) - Apache Flink Python API. Apache-2
+Flax (π₯39 Β· β 5.6K) - Flax is a neural network library for JAX that is designed for.. Apache-2
-- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.9K Β· π 13K Β· π¦ 21 Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/google/flax) (π¨βπ» 220 Β· π 600 Β· π₯ 51 Β· π¦ 7.5K Β· π 930 - 24% open Β· β±οΈ 30.05.2024):
```
- git clone https://github.com/apache/flink
+ git clone https://github.com/google/flax
```
-- [PyPi](https://pypi.org/project/apache-flink) (π₯ 78K / month Β· π¦ 24 Β· β±οΈ 15.03.2024):
+- [PyPi](https://pypi.org/project/flax) (π₯ 3.9M / month Β· π¦ 400 Β· β±οΈ 24.05.2024):
```
- pip install apache-flink
+ pip install flax
+ ```
+- [Conda](https://anaconda.org/conda-forge/flax) (π₯ 51K Β· β±οΈ 30.04.2024):
+ ```
+ conda install -c conda-forge flax
```
Jina (π₯38 Β· β 20K Β· π) - Build multimodal AI applications with cloud-native stack. Apache-2
+PyFlink (π₯38 Β· β 23K) - Apache Flink Python API. Apache-2
-- [GitHub](https://github.com/jina-ai/jina) (π¨βπ» 180 Β· π 2.2K Β· π¦ 1.7K Β· π 1.9K - 1% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/apache/flink) (π¨βπ» 1.9K Β· π 13K Β· π¦ 21 Β· β±οΈ 30.05.2024):
```
- git clone https://github.com/jina-ai/jina
- ```
-- [PyPi](https://pypi.org/project/jina) (π₯ 31K / month Β· π¦ 27 Β· β±οΈ 10.04.2024):
- ```
- pip install jina
- ```
-- [Conda](https://anaconda.org/conda-forge/jina-core) (π₯ 64K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge jina-core
+ git clone https://github.com/apache/flink
```
-- [Docker Hub](https://hub.docker.com/r/jinaai/jina) (π₯ 1.3M Β· β 8 Β· β±οΈ 16.05.2024):
+- [PyPi](https://pypi.org/project/apache-flink) (π₯ 81K / month Β· π¦ 24 Β· β±οΈ 15.03.2024):
```
- docker pull jinaai/jina
+ pip install apache-flink
```
Theano (π₯38 Β· β 9.9K) - Theano was a Python library that allows you to define, optimize, and.. BSD-3
@@ -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) (π₯ 540K / month Β· π¦ 170 Β· β±οΈ 27.07.2020):
+- [PyPi](https://pypi.org/project/theano) (π₯ 460K / month Β· π¦ 170 Β· β±οΈ 27.07.2020):
```
pip install theano
```
@@ -369,24 +369,24 @@ _General-purpose machine learning and deep learning frameworks._
ivy (π₯35 Β· β 14K) - The Unified AI Framework. Apache-2
-- [GitHub](https://github.com/Transpile-AI/ivy) (π¨βπ» 1.5K Β· π 5.9K Β· π 17K - 6% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/Transpile-AI/ivy) (π¨βπ» 1.5K Β· π 5.9K Β· π 17K - 6% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/unifyai/ivy
```
-- [PyPi](https://pypi.org/project/ivy) (π₯ 820 / month Β· π¦ 12 Β· β±οΈ 15.03.2024):
+- [PyPi](https://pypi.org/project/ivy) (π₯ 1K / month Β· π¦ 12 Β· β±οΈ 15.03.2024):
```
pip install ivy
```
Thinc (π₯35 Β· β 2.8K) - A refreshing functional take on deep learning, compatible with your favorite.. MIT
-- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 63 Β· π 270 Β· π¦ 47K Β· π 140 - 13% open Β· β±οΈ 23.04.2024):
+- [GitHub](https://github.com/explosion/thinc) (π¨βπ» 63 Β· π 270 Β· π¦ 48K Β· π 140 - 13% open Β· β±οΈ 23.04.2024):
```
git clone https://github.com/explosion/thinc
```
-- [PyPi](https://pypi.org/project/thinc) (π₯ 9.8M / month Β· π¦ 120 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/thinc) (π₯ 10M / month Β· π¦ 120 Β· β±οΈ 19.04.2024):
```
pip install thinc
```
@@ -397,24 +397,24 @@ _General-purpose machine learning and deep learning frameworks._
Ludwig (π₯34 Β· β 11K) - Low-code framework for building custom LLMs, neural networks, and.. Apache-2
-- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 160 Β· π 1.2K Β· π¦ 250 Β· π 1.1K - 32% open Β· β±οΈ 29.04.2024):
+- [GitHub](https://github.com/ludwig-ai/ludwig) (π¨βπ» 160 Β· π 1.2K Β· π¦ 250 Β· π 1.1K - 32% open Β· β±οΈ 23.05.2024):
```
git clone https://github.com/ludwig-ai/ludwig
```
-- [PyPi](https://pypi.org/project/ludwig) (π₯ 4.5K / month Β· π¦ 6 Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/ludwig) (π₯ 4.6K / month Β· π¦ 6 Β· β±οΈ 08.04.2024):
```
pip install ludwig
```
Vowpal Wabbit (π₯34 Β· β 8.4K) - Vowpal Wabbit is a machine learning system which pushes the.. BSD-3
-- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 09.05.2024):
+- [GitHub](https://github.com/VowpalWabbit/vowpal_wabbit) (π¨βπ» 340 Β· π 1.9K Β· π 1.3K - 10% open Β· β±οΈ 23.05.2024):
```
git clone https://github.com/VowpalWabbit/vowpal_wabbit
```
-- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 84K / month Β· π¦ 38 Β· β±οΈ 19.07.2023):
+- [PyPi](https://pypi.org/project/vowpalwabbit) (π₯ 65K / month Β· π¦ 40 Β· β±οΈ 19.07.2023):
```
pip install vowpalwabbit
```
@@ -425,28 +425,28 @@ _General-purpose machine learning and deep learning frameworks._
einops (π₯34 Β· β 8K) - Flexible and powerful tensor operations for readable and reliable code (for.. MIT
-- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 27 Β· π 340 Β· π¦ 35K Β· π 170 - 19% open Β· β±οΈ 12.05.2024):
+- [GitHub](https://github.com/arogozhnikov/einops) (π¨βπ» 27 Β· π 340 Β· π¦ 36K Β· π 170 - 19% open Β· β±οΈ 26.05.2024):
```
git clone https://github.com/arogozhnikov/einops
```
-- [PyPi](https://pypi.org/project/einops) (π₯ 7.6M / month Β· π¦ 1.7K Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/einops) (π₯ 7.4M / month Β· π¦ 1.7K Β· β±οΈ 28.04.2024):
```
pip install einops
```
-- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 210K Β· β±οΈ 28.04.2024):
+- [Conda](https://anaconda.org/conda-forge/einops) (π₯ 220K Β· β±οΈ 28.04.2024):
```
conda install -c conda-forge einops
```
Ignite (π₯34 Β· β 4.5K) - High-level library to help with training and evaluating neural.. BSD-3
-- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 520 Β· π 600 Β· π¦ 2.9K Β· π 1.4K - 10% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/pytorch/ignite) (π¨βπ» 520 Β· π 600 Β· π¦ 2.9K Β· π 1.4K - 10% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/pytorch/ignite
```
-- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 300K / month Β· π¦ 84 Β· β±οΈ 23.05.2024):
+- [PyPi](https://pypi.org/project/pytorch-ignite) (π₯ 270K / month Β· π¦ 84 Β· β±οΈ 30.05.2024):
```
pip install pytorch-ignite
```
@@ -457,16 +457,16 @@ _General-purpose machine learning and deep learning frameworks._
mlpack (π₯33 Β· β 4.9K) - mlpack: a fast, header-only C++ machine learning library. BSD-3
-- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 2% open Β· β±οΈ 18.05.2024):
+- [GitHub](https://github.com/mlpack/mlpack) (π¨βπ» 320 Β· π 1.6K Β· π 1.6K - 1% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/mlpack/mlpack
```
-- [PyPi](https://pypi.org/project/mlpack) (π₯ 2.9K / month Β· π¦ 1 Β· β±οΈ 10.04.2024):
+- [PyPi](https://pypi.org/project/mlpack) (π₯ 2.8K / month Β· π¦ 2 Β· β±οΈ 28.05.2024):
```
pip install mlpack
```
-- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 180K Β· β±οΈ 29.11.2023):
+- [Conda](https://anaconda.org/conda-forge/mlpack) (π₯ 190K Β· β±οΈ 29.05.2024):
```
conda install -c conda-forge mlpack
```
@@ -478,7 +478,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/deepmind/sonnet
```
-- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 29K / month Β· π¦ 18 Β· β±οΈ 02.01.2024):
+- [PyPi](https://pypi.org/project/dm-sonnet) (π₯ 22K / month Β· π¦ 18 Β· β±οΈ 02.01.2024):
```
pip install dm-sonnet
```
@@ -494,7 +494,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/tensorpack/tensorpack
```
-- [PyPi](https://pypi.org/project/tensorpack) (π₯ 14K / month Β· π¦ 18 Β· β±οΈ 22.01.2021):
+- [PyPi](https://pypi.org/project/tensorpack) (π₯ 13K / month Β· π¦ 18 Β· β±οΈ 22.01.2021):
```
pip install tensorpack
```
@@ -503,16 +503,20 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge tensorpack
```
tensorflow-upstream (π₯32 Β· β 680) - TensorFlow ROCm port. Apache-2
+skorch (π₯31 Β· β 5.7K Β· π) - A scikit-learn compatible neural network library that.. BSD-3
-- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.6K Β· π 89 Β· π₯ 21 Β· π 370 - 23% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 62 Β· π 380 Β· π¦ 1.2K Β· π 510 - 11% open Β· β±οΈ 27.05.2024):
```
- git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
+ git clone https://github.com/skorch-dev/skorch
```
-- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 4.6K / month Β· π¦ 6 Β· β±οΈ 10.01.2024):
+- [PyPi](https://pypi.org/project/skorch) (π₯ 170K / month Β· π¦ 80 Β· β±οΈ 27.05.2024):
```
- pip install tensorflow-rocm
+ pip install skorch
+ ```
+- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 780K Β· β±οΈ 30.05.2024):
+ ```
+ conda install -c conda-forge skorch
```
dyNET (π₯31 Β· β 3.4K) - DyNet: The Dynamic Neural Network Toolkit. Apache-2
@@ -522,7 +526,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/clab/dynet
```
-- [PyPi](https://pypi.org/project/dyNET) (π₯ 310K / month Β· π¦ 18 Β· β±οΈ 21.10.2020):
+- [PyPi](https://pypi.org/project/dyNET) (π₯ 300K / month Β· π¦ 18 Β· β±οΈ 21.10.2020):
```
pip install dyNET
```
@@ -534,7 +538,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/deepmind/dm-haiku
```
-- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 230K / month Β· π¦ 160 Β· β±οΈ 28.02.2024):
+- [PyPi](https://pypi.org/project/dm-haiku) (π₯ 280K / month Β· π¦ 160 Β· β±οΈ 28.02.2024):
```
pip install dm-haiku
```
@@ -543,14 +547,26 @@ _General-purpose machine learning and deep learning frameworks._
conda install -c conda-forge dm-haiku
```
tensorflow-upstream (π₯31 Β· β 680) - TensorFlow ROCm port. Apache-2
+
+- [GitHub](https://github.com/ROCm/tensorflow-upstream) (π¨βπ» 4.6K Β· π 91 Β· π₯ 21 Β· π 370 - 23% open Β· β±οΈ 30.05.2024):
+
+ ```
+ git clone https://github.com/ROCmSoftwarePlatform/tensorflow-upstream
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-rocm) (π₯ 4.4K / month Β· π¦ 6 Β· β±οΈ 10.01.2024):
+ ```
+ pip install tensorflow-rocm
+ ```
+Determined (π₯30 Β· β 2.9K) - Determined is an open-source machine learning platform.. Apache-2
-- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 340 Β· π₯ 8K Β· π 460 - 26% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/determined-ai/determined) (π¨βπ» 120 Β· π 340 Β· π₯ 8K Β· π 460 - 26% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/determined-ai/determined
```
-- [PyPi](https://pypi.org/project/determined) (π₯ 45K / month Β· π¦ 4 Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/determined) (π₯ 47K / month Β· π¦ 4 Β· β±οΈ 29.05.2024):
```
pip install determined
```
@@ -562,7 +578,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/amaiya/ktrain
```
-- [PyPi](https://pypi.org/project/ktrain) (π₯ 11K / month Β· π¦ 3 Β· β±οΈ 05.04.2024):
+- [PyPi](https://pypi.org/project/ktrain) (π₯ 10K / month Β· π¦ 3 Β· β±οΈ 05.04.2024):
```
pip install ktrain
```
@@ -574,39 +590,23 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/geomstats/geomstats
```
-- [PyPi](https://pypi.org/project/geomstats) (π₯ 2.5K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
+- [PyPi](https://pypi.org/project/geomstats) (π₯ 2.7K / month Β· π¦ 3 Β· β±οΈ 30.08.2023):
```
pip install geomstats
```
-- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 2.5K Β· β±οΈ 30.08.2023):
+- [Conda](https://anaconda.org/conda-forge/geomstats) (π₯ 2.6K Β· β±οΈ 30.08.2023):
```
conda install -c conda-forge geomstats
```
skorch (π₯29 Β· β 5.7K) - A scikit-learn compatible neural network library that wraps.. BSD-3
-
-- [GitHub](https://github.com/skorch-dev/skorch) (π¨βπ» 62 Β· π 380 Β· π¦ 1.2K Β· π 510 - 11% open Β· β±οΈ 25.04.2024):
-
- ```
- git clone https://github.com/skorch-dev/skorch
- ```
-- [PyPi](https://pypi.org/project/skorch) (π₯ 170K / month Β· π¦ 77 Β· β±οΈ 04.09.2023):
- ```
- pip install skorch
- ```
-- [Conda](https://anaconda.org/conda-forge/skorch) (π₯ 780K Β· β±οΈ 06.09.2023):
- ```
- conda install -c conda-forge skorch
- ```
-Neural Network Libraries (π₯29 Β· β 2.7K) - Neural Network Libraries. Apache-2
-- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 340 Β· π₯ 920 Β· π 92 - 34% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/sony/nnabla) (π¨βπ» 76 Β· π 330 Β· π₯ 920 Β· π 95 - 36% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/sony/nnabla
```
-- [PyPi](https://pypi.org/project/nnabla) (π₯ 3.2K / month Β· π¦ 44 Β· β±οΈ 06.12.2023):
+- [PyPi](https://pypi.org/project/nnabla) (π₯ 3.8K / month Β· π¦ 44 Β· β±οΈ 29.05.2024):
```
pip install nnabla
```
@@ -618,23 +618,23 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/georgia-tech-db/eva
```
-- [PyPi](https://pypi.org/project/evadb) (π₯ 3.2K / month Β· β±οΈ 19.11.2023):
+- [PyPi](https://pypi.org/project/evadb) (π₯ 1K / month Β· β±οΈ 19.11.2023):
```
pip install evadb
```
pyRiemann (π₯27 Β· β 600) - Machine learning for multivariate data through the Riemannian.. BSD-3
-- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 32 Β· π 160 Β· π¦ 340 Β· π 100 - 3% open Β· β±οΈ 17.05.2024):
+- [GitHub](https://github.com/pyRiemann/pyRiemann) (π¨βπ» 32 Β· π 160 Β· π¦ 350 Β· π 100 - 3% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/pyRiemann/pyRiemann
```
-- [PyPi](https://pypi.org/project/pyriemann) (π₯ 40K / month Β· π¦ 26 Β· β±οΈ 10.04.2024):
+- [PyPi](https://pypi.org/project/pyriemann) (π₯ 36K / month Β· π¦ 26 Β· β±οΈ 10.04.2024):
```
pip install pyriemann
```
-- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 5.8K Β· β±οΈ 10.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pyriemann) (π₯ 5.9K Β· β±οΈ 10.04.2024):
```
conda install -c conda-forge pyriemann
```
@@ -655,28 +655,28 @@ _General-purpose machine learning and deep learning frameworks._
docker pull shogun/shogun
```
Towhee (π₯25 Β· β 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
+Neural Tangents (π₯26 Β· β 2.2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
-- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 35 Β· π 250 Β· π₯ 2.6K Β· π 660 - 0% open Β· β±οΈ 20.01.2024):
+- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 29 Β· π 240 Β· π₯ 380 Β· π¦ 100 Β· π 160 - 38% open Β· β±οΈ 01.03.2024):
```
- git clone https://github.com/towhee-io/towhee
+ git clone https://github.com/google/neural-tangents
```
-- [PyPi](https://pypi.org/project/towhee) (π₯ 14K / month Β· β±οΈ 04.12.2023):
+- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.6K / month Β· π¦ 1 Β· β±οΈ 11.12.2023):
```
- pip install towhee
+ pip install neural-tangents
```
Neural Tangents (π₯25 Β· β 2.2K) - Fast and Easy Infinite Neural Networks in Python. Apache-2
+Towhee (π₯25 Β· β 3K) - Towhee is a framework that is dedicated to making neural data.. Apache-2
-- [GitHub](https://github.com/google/neural-tangents) (π¨βπ» 29 Β· π 240 Β· π₯ 380 Β· π¦ 100 Β· π 160 - 38% open Β· β±οΈ 01.03.2024):
+- [GitHub](https://github.com/towhee-io/towhee) (π¨βπ» 35 Β· π 250 Β· π₯ 2.6K Β· π 660 - 0% open Β· β±οΈ 20.01.2024):
```
- git clone https://github.com/google/neural-tangents
+ git clone https://github.com/towhee-io/towhee
```
-- [PyPi](https://pypi.org/project/neural-tangents) (π₯ 2.9K / month Β· π¦ 1 Β· β±οΈ 11.12.2023):
+- [PyPi](https://pypi.org/project/towhee) (π₯ 16K / month Β· β±οΈ 04.12.2023):
```
- pip install neural-tangents
+ pip install towhee
```
mace (π₯23 Β· β 4.9K) - MACE is a deep learning inference framework optimized for mobile.. Apache-2
@@ -689,12 +689,12 @@ _General-purpose machine learning and deep learning frameworks._
fklearn (π₯23 Β· β 1.5K) - fklearn: Functional Machine Learning. Apache-2
-- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 55 Β· π 160 Β· π¦ 13 Β· π 60 - 58% open Β· β±οΈ 08.11.2023):
+- [GitHub](https://github.com/nubank/fklearn) (π¨βπ» 55 Β· π 160 Β· π¦ 13 Β· π 63 - 60% open Β· β±οΈ 08.11.2023):
```
git clone https://github.com/nubank/fklearn
```
-- [PyPi](https://pypi.org/project/fklearn) (π₯ 600 / month Β· β±οΈ 23.05.2024):
+- [PyPi](https://pypi.org/project/fklearn) (π₯ 990 / month Β· β±οΈ 23.05.2024):
```
pip install fklearn
```
@@ -706,14 +706,14 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/Xtra-Computing/thundersvm
```
-- [PyPi](https://pypi.org/project/thundersvm) (π₯ 870 / month Β· β±οΈ 13.03.2020):
+- [PyPi](https://pypi.org/project/thundersvm) (π₯ 860 / month Β· β±οΈ 13.03.2020):
```
pip install thundersvm
```
NeoML (π₯22 Β· β 760) - Machine learning framework for both deep learning and traditional.. Apache-2
-- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 37 Β· π 120 Β· π 87 - 42% open Β· β±οΈ 14.05.2024):
+- [GitHub](https://github.com/neoml-lib/neoml) (π¨βπ» 37 Β· π 120 Β· π 87 - 42% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/neoml-lib/neoml
@@ -730,7 +730,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/pytorchbearer/torchbearer
```
-- [PyPi](https://pypi.org/project/torchbearer) (π₯ 650 / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
+- [PyPi](https://pypi.org/project/torchbearer) (π₯ 520 / month Β· π¦ 4 Β· β±οΈ 01.12.2023):
```
pip install torchbearer
```
@@ -742,7 +742,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/google/objax
```
-- [PyPi](https://pypi.org/project/objax) (π₯ 680 / month Β· π¦ 4 Β· β±οΈ 06.11.2023):
+- [PyPi](https://pypi.org/project/objax) (π₯ 640 / month Β· π¦ 4 Β· β±οΈ 06.11.2023):
```
pip install objax
```
@@ -754,7 +754,7 @@ _General-purpose machine learning and deep learning frameworks._
```
git clone https://github.com/serengil/chefboost
```
-- [PyPi](https://pypi.org/project/chefboost) (π₯ 2.9K / month Β· β±οΈ 16.02.2022):
+- [PyPi](https://pypi.org/project/chefboost) (π₯ 2.8K / month Β· β±οΈ 16.02.2022):
```
pip install chefboost
```
@@ -787,7 +787,7 @@ _General-purpose machine learning and deep learning frameworks._
- neon (π₯22 Β· β 3.9K Β· π) - Intel Nervana reference deep learning framework committed to best.. Apache-2
- elegy (π₯19 Β· β 470 Β· π) - A High Level API for Deep Learning in JAX. MIT MIT
-- nanodl (π₯15 Β· β 260) - A Jax-based library for designing and training transformer models from.. MIT MIT
@@ -799,12 +799,12 @@ _General-purpose and task-specific data visualization libraries._
Matplotlib (π₯48 Β· β 19K) - matplotlib: plotting with Python. βUnlicensed
-- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.7K Β· π 7.4K Β· π¦ 1.2M Β· π 11K - 14% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/matplotlib/matplotlib) (π¨βπ» 1.7K Β· π 7.4K Β· π¦ 1.2M Β· π 11K - 14% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/matplotlib/matplotlib
```
-- [PyPi](https://pypi.org/project/matplotlib) (π₯ 65M / month Β· π¦ 44K Β· β±οΈ 15.05.2024):
+- [PyPi](https://pypi.org/project/matplotlib) (π₯ 65M / month Β· π¦ 45K Β· β±οΈ 15.05.2024):
```
pip install matplotlib
```
@@ -815,12 +815,12 @@ _General-purpose and task-specific data visualization libraries._
Bokeh (π₯45 Β· β 19K) - Interactive Data Visualization in the browser, from Python. BSD-3
-- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 690 Β· π 4.2K Β· π¦ 88K Β· π 7.7K - 10% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/bokeh/bokeh) (π¨βπ» 690 Β· π 4.2K Β· π¦ 88K Β· π 7.7K - 10% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/bokeh/bokeh
```
-- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.9M / month Β· π¦ 1.6K Β· β±οΈ 21.05.2024):
+- [PyPi](https://pypi.org/project/bokeh) (π₯ 4.5M / month Β· π¦ 1.6K Β· β±οΈ 21.05.2024):
```
pip install bokeh
```
@@ -840,11 +840,11 @@ _General-purpose and task-specific data visualization libraries._
```
pip install plotly
```
-- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 5.8M Β· β±οΈ 04.05.2024):
+- [Conda](https://anaconda.org/conda-forge/plotly) (π₯ 5.9M Β· β±οΈ 04.05.2024):
```
conda install -c conda-forge plotly
```
-- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 10K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
+- [npm](https://www.npmjs.com/package/plotlywidget) (π₯ 16K / month Β· π¦ 9 Β· β±οΈ 12.01.2021):
```
npm install plotlywidget
```
@@ -856,18 +856,18 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/mwaskom/seaborn
```
-- [PyPi](https://pypi.org/project/seaborn) (π₯ 17M / month Β· π¦ 9.5K Β· β±οΈ 25.01.2024):
+- [PyPi](https://pypi.org/project/seaborn) (π₯ 17M / month Β· π¦ 9.6K Β· β±οΈ 25.01.2024):
```
pip install seaborn
```
-- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 8.8M Β· β±οΈ 30.04.2024):
+- [Conda](https://anaconda.org/conda-forge/seaborn) (π₯ 8.9M Β· β±οΈ 30.04.2024):
```
conda install -c conda-forge seaborn
```
dash (π₯42 Β· β 21K) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+dash (π₯41 Β· β 21K Β· π) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
-- [GitHub](https://github.com/plotly/dash) (π¨βπ» 150 Β· π 2K Β· π₯ 72 Β· π¦ 63K Β· π 1.7K - 47% open Β· β±οΈ 15.05.2024):
+- [GitHub](https://github.com/plotly/dash) (π¨βπ» 150 Β· π 2K Β· π₯ 72 Β· π¦ 64K Β· π 1.7K - 47% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/plotly/dash
@@ -881,30 +881,30 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge dash
```
Altair (π₯42 Β· β 9K Β· π) - Declarative statistical visualization library for Python. BSD-3
+Altair (π₯41 Β· β 9K Β· π) - Declarative statistical visualization library for Python. BSD-3
-- [GitHub](https://github.com/vega/altair) (π¨βπ» 160 Β· π 760 Β· π₯ 120 Β· π¦ 130K Β· π 1.9K - 8% open Β· β±οΈ 18.05.2024):
+- [GitHub](https://github.com/vega/altair) (π¨βπ» 160 Β· π 760 Β· π₯ 120 Β· π¦ 130K Β· π 1.9K - 8% open Β· β±οΈ 23.05.2024):
```
git clone https://github.com/altair-viz/altair
```
-- [PyPi](https://pypi.org/project/altair) (π₯ 24M / month Β· π¦ 760 Β· β±οΈ 30.03.2024):
+- [PyPi](https://pypi.org/project/altair) (π₯ 24M / month Β· π¦ 770 Β· β±οΈ 30.03.2024):
```
pip install altair
```
-- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2.2M Β· β±οΈ 30.03.2024):
+- [Conda](https://anaconda.org/conda-forge/altair) (π₯ 2.3M Β· β±οΈ 30.03.2024):
```
conda install -c conda-forge altair
```
pandas-profiling (π₯38 Β· β 12K) - 1 Line of code data quality profiling & exploratory.. MIT 
-- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 120 Β· π 1.6K Β· π₯ 97 Β· π¦ 3.2K Β· π 780 - 27% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/ydataai/ydata-profiling) (π¨βπ» 120 Β· π 1.6K Β· π₯ 97 Β· π¦ 3.2K Β· π 780 - 28% open Β· β±οΈ 23.05.2024):
```
git clone https://github.com/ydataai/pandas-profiling
```
-- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 790K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/pandas-profiling) (π₯ 800K / month Β· π¦ 180 Β· β±οΈ 03.02.2023):
```
pip install pandas-profiling
```
@@ -915,12 +915,12 @@ _General-purpose and task-specific data visualization libraries._
HoloViews (π₯38 Β· β 2.6K) - With Holoviews, your data visualizes itself. BSD-3
-- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 390 Β· π¦ 11K Β· π 3.3K - 33% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/holoviz/holoviews) (π¨βπ» 140 Β· π 390 Β· π¦ 11K Β· π 3.3K - 33% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/holoviz/holoviews
```
-- [PyPi](https://pypi.org/project/holoviews) (π₯ 490K / month Β· π¦ 360 Β· β±οΈ 17.05.2024):
+- [PyPi](https://pypi.org/project/holoviews) (π₯ 490K / month Β· π¦ 360 Β· β±οΈ 23.05.2024):
```
pip install holoviews
```
@@ -935,12 +935,12 @@ _General-purpose and task-specific data visualization libraries._
PyQtGraph (π₯37 Β· β 3.7K) - Fast data visualization and GUI tools for scientific / engineering.. MIT
-- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 280 Β· π 1.1K Β· π¦ 9.5K Β· π 1.3K - 30% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/pyqtgraph/pyqtgraph) (π¨βπ» 280 Β· π 1.1K Β· π¦ 9.6K Β· π 1.3K - 30% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/pyqtgraph/pyqtgraph
```
-- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 230K / month Β· π¦ 920 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/pyqtgraph) (π₯ 230K / month Β· π¦ 930 Β· β±οΈ 29.04.2024):
```
pip install pyqtgraph
```
@@ -956,7 +956,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/xflr6/graphviz
```
-- [PyPi](https://pypi.org/project/graphviz) (π₯ 12M / month Β· π¦ 2.3K Β· β±οΈ 21.03.2024):
+- [PyPi](https://pypi.org/project/graphviz) (π₯ 12M / month Β· π¦ 2.4K Β· β±οΈ 21.03.2024):
```
pip install graphviz
```
@@ -967,7 +967,7 @@ _General-purpose and task-specific data visualization libraries._
pyecharts (π₯36 Β· β 15K) - Python Echarts Plotting Library. MIT
-- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 42 Β· π 2.8K Β· π₯ 45 Β· π¦ 4.1K Β· π 1.9K - 0% open Β· β±οΈ 03.03.2024):
+- [GitHub](https://github.com/pyecharts/pyecharts) (π¨βπ» 42 Β· π 2.8K Β· π₯ 50 Β· π¦ 4.2K Β· π 1.9K - 0% open Β· β±οΈ 03.03.2024):
```
git clone https://github.com/pyecharts/pyecharts
@@ -979,7 +979,7 @@ _General-purpose and task-specific data visualization libraries._
plotnine (π₯36 Β· β 3.9K) - A Grammar of Graphics for Python. MIT
-- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 200 Β· π¦ 7.7K Β· π 630 - 10% open Β· β±οΈ 10.05.2024):
+- [GitHub](https://github.com/has2k1/plotnine) (π¨βπ» 110 Β· π 200 Β· π¦ 7.7K Β· π 640 - 10% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/has2k1/plotnine
@@ -995,7 +995,7 @@ _General-purpose and task-specific data visualization libraries._
PyVista (π₯36 Β· β 2.4K) - 3D plotting and mesh analysis through a streamlined interface for.. MIT
-- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 160 Β· π 440 Β· π₯ 800 Β· π¦ 3K Β· π 1.6K - 33% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/pyvista/pyvista) (π¨βπ» 160 Β· π 440 Β· π₯ 800 Β· π¦ 3K Β· π 1.6K - 33% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/pyvista/pyvista
@@ -1011,44 +1011,44 @@ _General-purpose and task-specific data visualization libraries._
FiftyOne (π₯35 Β· β 6.8K) - Visualize, create, and debug image and video datasets.. Apache-2
-- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 120 Β· π 500 Β· π¦ 580 Β· π 1.5K - 32% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/voxel51/fiftyone) (π¨βπ» 120 Β· π 510 Β· π¦ 580 Β· π 1.5K - 32% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/voxel51/fiftyone
```
-- [PyPi](https://pypi.org/project/fiftyone) (π₯ 58K / month Β· π¦ 12 Β· β±οΈ 15.04.2024):
+- [PyPi](https://pypi.org/project/fiftyone) (π₯ 58K / month Β· π¦ 18 Β· β±οΈ 29.05.2024):
```
pip install fiftyone
```
VisPy (π₯35 Β· β 3.2K) - High-performance interactive 2D/3D data visualization library. BSD-3
-- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 190 Β· π 620 Β· π¦ 1.5K Β· π 1.5K - 23% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/vispy/vispy) (π¨βπ» 200 Β· π 620 Β· π¦ 1.5K Β· π 1.5K - 23% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/vispy/vispy
```
-- [PyPi](https://pypi.org/project/vispy) (π₯ 91K / month Β· π¦ 150 Β· β±οΈ 14.03.2024):
+- [PyPi](https://pypi.org/project/vispy) (π₯ 92K / month Β· π¦ 150 Β· β±οΈ 14.03.2024):
```
pip install vispy
```
-- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 490K Β· β±οΈ 17.05.2024):
+- [Conda](https://anaconda.org/conda-forge/vispy) (π₯ 500K Β· β±οΈ 17.05.2024):
```
conda install -c conda-forge vispy
```
-- [npm](https://www.npmjs.com/package/vispy) (π₯ 13 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
+- [npm](https://www.npmjs.com/package/vispy) (π₯ 11 / month Β· π¦ 3 Β· β±οΈ 15.03.2020):
```
npm install vispy
```
cartopy (π₯35 Β· β 1.4K) - Cartopy - a cartographic python library with matplotlib support. BSD-3
-- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 4.9K Β· π 1.3K - 24% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/SciTools/cartopy) (π¨βπ» 130 Β· π 360 Β· π¦ 5K Β· π 1.3K - 24% open Β· β±οΈ 21.05.2024):
```
git clone https://github.com/SciTools/cartopy
```
-- [PyPi](https://pypi.org/project/cartopy) (π₯ 230K / month Β· π¦ 580 Β· β±οΈ 10.04.2024):
+- [PyPi](https://pypi.org/project/cartopy) (π₯ 220K / month Β· π¦ 590 Β· β±οΈ 10.04.2024):
```
pip install cartopy
```
@@ -1073,9 +1073,9 @@ _General-purpose and task-specific data visualization libraries._
conda install -c conda-forge wordcloud
```
datashader (π₯34 Β· β 3.2K Β· π) - Quickly and accurately render even the largest data. BSD-3
+datashader (π₯34 Β· β 3.2K) - Quickly and accurately render even the largest data. BSD-3
-- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 55 Β· π 360 Β· π¦ 4.1K Β· π 580 - 23% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/holoviz/datashader) (π¨βπ» 55 Β· π 360 Β· π¦ 4.2K Β· π 590 - 23% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/holoviz/datashader
@@ -1084,19 +1084,19 @@ _General-purpose and task-specific data visualization libraries._
```
pip install datashader
```
-- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 880K Β· β±οΈ 23.04.2024):
+- [Conda](https://anaconda.org/conda-forge/datashader) (π₯ 900K Β· β±οΈ 23.04.2024):
```
conda install -c conda-forge datashader
```
UMAP (π₯33 Β· β 7K) - Uniform Manifold Approximation and Projection. BSD-3
+UMAP (π₯33 Β· β 7.1K) - Uniform Manifold Approximation and Projection. BSD-3
- [GitHub](https://github.com/lmcinnes/umap) (π¨βπ» 130 Β· π 760 Β· π¦ 1 Β· π 790 - 57% open Β· β±οΈ 25.04.2024):
```
git clone https://github.com/lmcinnes/umap
```
-- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.3M / month Β· π¦ 830 Β· β±οΈ 03.04.2024):
+- [PyPi](https://pypi.org/project/umap-learn) (π₯ 1.4M / month Β· π¦ 830 Β· β±οΈ 03.04.2024):
```
pip install umap-learn
```
@@ -1107,36 +1107,36 @@ _General-purpose and task-specific data visualization libraries._
Perspective (π₯31 Β· β 7.6K) - A data visualization and analytics component, especially.. Apache-2
-- [GitHub](https://github.com/finos/perspective) (π¨βπ» 93 Β· π 1K Β· π₯ 2.7K Β· π¦ 120 Β· π 760 - 13% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/finos/perspective) (π¨βπ» 93 Β· π 1K Β· π₯ 2.7K Β· π¦ 120 Β· π 760 - 13% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/finos/perspective
```
-- [PyPi](https://pypi.org/project/perspective-python) (π₯ 4.6K / month Β· π¦ 22 Β· β±οΈ 23.05.2024):
+- [PyPi](https://pypi.org/project/perspective-python) (π₯ 4.9K / month Β· π¦ 22 Β· β±οΈ 23.05.2024):
```
pip install perspective-python
```
-- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 610K Β· β±οΈ 26.03.2024):
+- [Conda](https://anaconda.org/conda-forge/perspective) (π₯ 630K Β· β±οΈ 23.05.2024):
```
conda install -c conda-forge perspective
```
-- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 3.7K / month Β· π¦ 4 Β· β±οΈ 25.03.2024):
+- [npm](https://www.npmjs.com/package/@finos/perspective-jupyterlab) (π₯ 3.7K / month Β· π¦ 6 Β· β±οΈ 23.05.2024):
```
npm install @finos/perspective-jupyterlab
```
D-Tale (π₯31 Β· β 4.6K) - Visualizer for pandas data structures. βοΈLGPL-2.1
-- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 380 Β· π¦ 1.1K Β· π 570 - 10% open Β· β±οΈ 30.04.2024):
+- [GitHub](https://github.com/man-group/dtale) (π¨βπ» 30 Β· π 380 Β· π¦ 1.1K Β· π 580 - 10% open Β· β±οΈ 30.04.2024):
```
git clone https://github.com/man-group/dtale
```
-- [PyPi](https://pypi.org/project/dtale) (π₯ 61K / month Β· π¦ 39 Β· β±οΈ 30.04.2024):
+- [PyPi](https://pypi.org/project/dtale) (π₯ 59K / month Β· π¦ 39 Β· β±οΈ 30.04.2024):
```
pip install dtale
```
-- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 280K Β· β±οΈ 30.04.2024):
+- [Conda](https://anaconda.org/conda-forge/dtale) (π₯ 290K Β· β±οΈ 30.04.2024):
```
conda install -c conda-forge dtale
```
@@ -1148,7 +1148,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/mpld3/mpld3
```
-- [PyPi](https://pypi.org/project/mpld3) (π₯ 490K / month Β· π¦ 130 Β· β±οΈ 23.12.2023):
+- [PyPi](https://pypi.org/project/mpld3) (π₯ 510K / month Β· π¦ 130 Β· β±οΈ 23.12.2023):
```
pip install mpld3
```
@@ -1163,17 +1163,17 @@ _General-purpose and task-specific data visualization libraries._
lets-plot (π₯31 Β· β 1.5K) - Multiplatform plotting library based on the Grammar of Graphics. MIT
-- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 20 Β· π 46 Β· π₯ 680 Β· π¦ 77 Β· π 560 - 24% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/JetBrains/lets-plot) (π¨βπ» 20 Β· π 47 Β· π₯ 710 Β· π¦ 79 Β· π 560 - 24% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/JetBrains/lets-plot
```
-- [PyPi](https://pypi.org/project/lets-plot) (π₯ 22K / month Β· π¦ 8 Β· β±οΈ 25.04.2024):
+- [PyPi](https://pypi.org/project/lets-plot) (π₯ 21K / month Β· π¦ 13 Β· β±οΈ 29.05.2024):
```
pip install lets-plot
```
hvPlot (π₯31 Β· β 970) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
+hvPlot (π₯31 Β· β 980) - A high-level plotting API for pandas, dask, xarray, and networkx built on.. BSD-3
- [GitHub](https://github.com/holoviz/hvplot) (π¨βπ» 46 Β· π 99 Β· π¦ 5.1K Β· π 760 - 44% open Β· β±οΈ 06.05.2024):
@@ -1184,7 +1184,7 @@ _General-purpose and task-specific data visualization libraries._
```
pip install hvplot
```
-- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 570K Β· β±οΈ 07.05.2024):
+- [Conda](https://anaconda.org/conda-forge/hvplot) (π₯ 580K Β· β±οΈ 07.05.2024):
```
conda install -c conda-forge hvplot
```
@@ -1211,7 +1211,7 @@ _General-purpose and task-specific data visualization libraries._
data-validation (π₯30 Β· β 750) - Library for exploring and validating machine learning.. Apache-2
-- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 26 Β· π 170 Β· π₯ 650 Β· π¦ 890 Β· π 180 - 20% open Β· β±οΈ 08.05.2024):
+- [GitHub](https://github.com/tensorflow/data-validation) (π¨βπ» 26 Β· π 170 Β· π₯ 650 Β· π¦ 900 Β· π 180 - 20% open Β· β±οΈ 08.05.2024):
```
git clone https://github.com/tensorflow/data-validation
@@ -1228,7 +1228,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pair-code/facets
```
-- [PyPi](https://pypi.org/project/facets-overview) (π₯ 280K / month Β· π¦ 8 Β· β±οΈ 24.05.2023):
+- [PyPi](https://pypi.org/project/facets-overview) (π₯ 190K / month Β· π¦ 8 Β· β±οΈ 24.05.2023):
```
pip install facets-overview
```
@@ -1240,23 +1240,23 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/AutoViML/AutoViz
```
-- [PyPi](https://pypi.org/project/autoviz) (π₯ 37K / month Β· π¦ 7 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/autoviz) (π₯ 41K / month Β· π¦ 7 Β· β±οΈ 29.04.2024):
```
pip install autoviz
```
-- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 51K Β· β±οΈ 26.04.2024):
+- [Conda](https://anaconda.org/conda-forge/autoviz) (π₯ 52K Β· β±οΈ 26.04.2024):
```
conda install -c conda-forge autoviz
```
HyperTools (π₯27 Β· β 1.8K) - A Python toolbox for gaining geometric insights into high-dimensional.. MIT
-- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 34 Β· π¦ 410 Β· π 200 - 33% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/ContextLab/hypertools) (π¨βπ» 22 Β· π 160 Β· π₯ 34 Β· π¦ 420 Β· π 200 - 33% open Β· β±οΈ 19.03.2024):
```
git clone https://github.com/ContextLab/hypertools
```
-- [PyPi](https://pypi.org/project/hypertools) (π₯ 850 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
+- [PyPi](https://pypi.org/project/hypertools) (π₯ 830 / month Β· π¦ 2 Β· β±οΈ 12.02.2022):
```
pip install hypertools
```
@@ -1268,11 +1268,11 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/spotify/chartify
```
-- [PyPi](https://pypi.org/project/chartify) (π₯ 16K / month Β· π¦ 9 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/chartify) (π₯ 20K / month Β· π¦ 9 Β· β±οΈ 12.10.2023):
```
pip install chartify
```
-- [Conda](https://anaconda.org/conda-forge/chartify) (π₯ 30K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/chartify) (π₯ 31K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge chartify
```
@@ -1284,11 +1284,11 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/fbdesignpro/sweetviz
```
-- [PyPi](https://pypi.org/project/sweetviz) (π₯ 71K / month Β· π¦ 29 Β· β±οΈ 29.11.2023):
+- [PyPi](https://pypi.org/project/sweetviz) (π₯ 67K / month Β· π¦ 29 Β· β±οΈ 29.11.2023):
```
pip install sweetviz
```
-- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 29K Β· β±οΈ 04.12.2023):
+- [Conda](https://anaconda.org/conda-forge/sweetviz) (π₯ 30K Β· β±οΈ 04.12.2023):
```
conda install -c conda-forge sweetviz
```
@@ -1300,7 +1300,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/pavlin-policar/openTSNE
```
-- [PyPi](https://pypi.org/project/opentsne) (π₯ 31K / month Β· π¦ 43 Β· β±οΈ 29.11.2023):
+- [PyPi](https://pypi.org/project/opentsne) (π₯ 33K / month Β· π¦ 43 Β· β±οΈ 29.11.2023):
```
pip install opentsne
```
@@ -1316,11 +1316,11 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/predict-idlab/plotly-resampler
```
-- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 430K / month Β· π¦ 22 Β· β±οΈ 27.03.2024):
+- [PyPi](https://pypi.org/project/plotly-resampler) (π₯ 410K / month Β· π¦ 22 Β· β±οΈ 27.03.2024):
```
pip install plotly-resampler
```
-- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 41K Β· β±οΈ 29.03.2024):
+- [Conda](https://anaconda.org/conda-forge/plotly-resampler) (π₯ 42K Β· β±οΈ 29.03.2024):
```
conda install -c conda-forge plotly-resampler
```
@@ -1336,7 +1336,7 @@ _General-purpose and task-specific data visualization libraries._
```
pip install hiplot
```
-- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 180K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/hiplot) (π₯ 190K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge hiplot
```
@@ -1348,11 +1348,11 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/marcharper/python-ternary
```
-- [PyPi](https://pypi.org/project/python-ternary) (π₯ 37K / month Β· π¦ 30 Β· β±οΈ 17.02.2021):
+- [PyPi](https://pypi.org/project/python-ternary) (π₯ 36K / month Β· π¦ 30 Β· β±οΈ 17.02.2021):
```
pip install python-ternary
```
-- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 81K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/python-ternary) (π₯ 82K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge python-ternary
```
@@ -1364,7 +1364,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/DmitryUlyanov/Multicore-TSNE
```
-- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 2.3K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
+- [PyPi](https://pypi.org/project/MulticoreTSNE) (π₯ 2.4K / month Β· π¦ 22 Β· β±οΈ 09.01.2019):
```
pip install MulticoreTSNE
```
@@ -1380,7 +1380,7 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/vega/ipyvega
```
-- [PyPi](https://pypi.org/project/vega) (π₯ 19K / month Β· π¦ 14 Β· β±οΈ 12.04.2023):
+- [PyPi](https://pypi.org/project/vega) (π₯ 20K / month Β· π¦ 14 Β· β±οΈ 12.04.2023):
```
pip install vega
```
@@ -1396,11 +1396,11 @@ _General-purpose and task-specific data visualization libraries._
```
git clone https://github.com/SauceCat/PDPbox
```
-- [PyPi](https://pypi.org/project/pdpbox) (π₯ 23K / month Β· π¦ 26 Β· β±οΈ 14.03.2021):
+- [PyPi](https://pypi.org/project/pdpbox) (π₯ 22K / month Β· π¦ 26 Β· β±οΈ 14.03.2021):
```
pip install pdpbox
```
-- [Conda](https://anaconda.org/conda-forge/pdpbox) (π₯ 20K Β· β±οΈ 10.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pdpbox) (π₯ 21K Β· β±οΈ 10.06.2023):
```
conda install -c conda-forge pdpbox
```
@@ -1419,12 +1419,12 @@ _General-purpose and task-specific data visualization libraries._
ivis (π₯19 Β· β 320) - Dimensionality reduction in very large datasets using Siamese.. Apache-2
-- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 31 Β· π 60 - 6% open Β· β±οΈ 09.11.2023):
+- [GitHub](https://github.com/beringresearch/ivis) (π¨βπ» 10 Β· π 43 Β· π¦ 32 Β· π 60 - 6% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/beringresearch/ivis
```
-- [PyPi](https://pypi.org/project/ivis) (π₯ 1.5K / month Β· π¦ 2 Β· β±οΈ 10.03.2022):
+- [PyPi](https://pypi.org/project/ivis) (π₯ 1.3K / month Β· π¦ 2 Β· β±οΈ 10.03.2022):
```
pip install ivis
```
@@ -1456,12 +1456,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
transformers (π₯52 Β· β 130K) - Transformers: State-of-the-art Machine Learning for.. Apache-2
-- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.6K Β· π 25K Β· π¦ 170K Β· π 15K - 7% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/huggingface/transformers) (π¨βπ» 2.6K Β· π 25K Β· π¦ 170K Β· π 15K - 7% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/huggingface/transformers
```
-- [PyPi](https://pypi.org/project/transformers) (π₯ 28M / month Β· π¦ 5.1K Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/transformers) (π₯ 28M / month Β· π¦ 5.2K Β· β±οΈ 22.05.2024):
```
pip install transformers
```
@@ -1486,30 +1486,30 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge spacy
```
litellm (π₯42 Β· β 9.1K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s
+litellm (π₯42 Β· β 9.4K) - Call all LLM APIs using the OpenAI format. Use.. MIT o t h e r s
-- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 230 Β· π 990 Β· π₯ 250 Β· π¦ 1.8K Β· π 2.4K - 24% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/BerriAI/litellm) (π¨βπ» 240 Β· π 1K Β· π₯ 250 Β· π¦ 1.9K Β· π 2.4K - 23% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/BerriAI/litellm
```
-- [PyPi](https://pypi.org/project/litellm) (π₯ 600K / month Β· π¦ 190 Β· β±οΈ 23.05.2024):
+- [PyPi](https://pypi.org/project/litellm) (π₯ 600K / month Β· π¦ 200 Β· β±οΈ 30.05.2024):
```
pip install litellm
```
sentence-transformers (π₯41 Β· β 14K) - Multilingual Sentence & Image Embeddings with BERT. Apache-2
-- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 160 Β· π 2.3K Β· π¦ 33K Β· π 2K - 52% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/UKPLab/sentence-transformers) (π¨βπ» 160 Β· π 2.4K Β· π¦ 34K Β· π 2K - 53% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/UKPLab/sentence-transformers
```
-- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 4.3M / month Β· π¦ 1.2K Β· β±οΈ 17.04.2024):
+- [PyPi](https://pypi.org/project/sentence-transformers) (π₯ 4.2M / month Β· π¦ 1.3K Β· β±οΈ 28.05.2024):
```
pip install sentence-transformers
```
-- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 250K Β· β±οΈ 17.04.2024):
+- [Conda](https://anaconda.org/conda-forge/sentence-transformers) (π₯ 260K Β· β±οΈ 28.05.2024):
```
conda install -c conda-forge sentence-transformers
```
@@ -1521,23 +1521,23 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/nltk/nltk
```
-- [PyPi](https://pypi.org/project/nltk) (π₯ 22M / month Β· π¦ 4.2K Β· β±οΈ 20.07.2023):
+- [PyPi](https://pypi.org/project/nltk) (π₯ 21M / month Β· π¦ 4.2K Β· β±οΈ 20.07.2023):
```
pip install nltk
```
-- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.5M Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/nltk) (π₯ 2.6M Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge nltk
```
Tokenizers (π₯40 Β· β 8.5K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
+Tokenizers (π₯40 Β· β 8.6K) - Fast State-of-the-Art Tokenizers optimized for Research and.. Apache-2
-- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 87 Β· π 730 Β· π₯ 47 Β· π¦ 78K Β· π 970 - 8% open Β· β±οΈ 06.05.2024):
+- [GitHub](https://github.com/huggingface/tokenizers) (π¨βπ» 87 Β· π 740 Β· π₯ 47 Β· π¦ 80K Β· π 960 - 6% open Β· β±οΈ 06.05.2024):
```
git clone https://github.com/huggingface/tokenizers
```
-- [PyPi](https://pypi.org/project/tokenizers) (π₯ 26M / month Β· π¦ 740 Β· β±οΈ 17.04.2024):
+- [PyPi](https://pypi.org/project/tokenizers) (π₯ 26M / month Β· π¦ 750 Β· β±οΈ 17.04.2024):
```
pip install tokenizers
```
@@ -1546,14 +1546,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge tokenizers
```
Rasa (π₯39 Β· β 18K Β· π) - Open source machine learning framework to automate text- and.. Apache-2
+Rasa (π₯39 Β· β 18K) - Open source machine learning framework to automate text- and voice-.. Apache-2
- [GitHub](https://github.com/RasaHQ/rasa) (π¨βπ» 590 Β· π 4.5K Β· π¦ 4.2K Β· π 6.8K - 1% open Β· β±οΈ 21.03.2024):
```
git clone https://github.com/RasaHQ/rasa
```
-- [PyPi](https://pypi.org/project/rasa) (π₯ 110K / month Β· π¦ 59 Β· β±οΈ 18.04.2024):
+- [PyPi](https://pypi.org/project/rasa) (π₯ 120K / month Β· π¦ 59 Β· β±οΈ 18.04.2024):
```
pip install rasa
```
@@ -1565,7 +1565,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/RaRe-Technologies/gensim
```
-- [PyPi](https://pypi.org/project/gensim) (π₯ 5.3M / month Β· π¦ 1.3K Β· β±οΈ 24.08.2023):
+- [PyPi](https://pypi.org/project/gensim) (π₯ 4.9M / month Β· π¦ 1.3K Β· β±οΈ 24.08.2023):
```
pip install gensim
```
@@ -1576,12 +1576,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
flair (π₯39 Β· β 14K) - A very simple framework for state-of-the-art Natural Language Processing.. MIT
-- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 260 Β· π 2.1K Β· π¦ 3.3K Β· π 2.3K - 3% open Β· β±οΈ 03.05.2024):
+- [GitHub](https://github.com/flairNLP/flair) (π¨βπ» 260 Β· π 2.1K Β· π¦ 3.3K Β· π 2.3K - 3% open Β· β±οΈ 24.05.2024):
```
git clone https://github.com/flairNLP/flair
```
-- [PyPi](https://pypi.org/project/flair) (π₯ 230K / month Β· π¦ 130 Β· β±οΈ 18.12.2023):
+- [PyPi](https://pypi.org/project/flair) (π₯ 270K / month Β· π¦ 130 Β· β±οΈ 18.12.2023):
```
pip install flair
```
@@ -1590,9 +1590,9 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge python-flair
```
sentencepiece (π₯38 Β· β 9.6K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
+sentencepiece (π₯38 Β· β 9.7K) - Unsupervised text tokenizer for Neural Network-based text.. Apache-2
-- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 87 Β· π 1.1K Β· π₯ 37K Β· π¦ 65K Β· π 720 - 3% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/google/sentencepiece) (π¨βπ» 88 Β· π 1.1K Β· π₯ 37K Β· π¦ 66K Β· π 720 - 3% open Β· β±οΈ 25.05.2024):
```
git clone https://github.com/google/sentencepiece
@@ -1601,14 +1601,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install sentencepiece
```
-- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 800K Β· β±οΈ 19.03.2024):
+- [Conda](https://anaconda.org/conda-forge/sentencepiece) (π₯ 810K Β· β±οΈ 27.05.2024):
```
conda install -c conda-forge sentencepiece
```
TextBlob (π₯37 Β· β 9K) - Simple, Pythonic, text processing--Sentiment analysis, part-of-speech.. MIT
-- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.1K Β· π₯ 120 Β· π¦ 39K Β· π 280 - 39% open Β· β±οΈ 07.05.2024):
+- [GitHub](https://github.com/sloria/TextBlob) (π¨βπ» 37 Β· π 1.1K Β· π₯ 120 Β· π¦ 39K Β· π 280 - 39% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/sloria/TextBlob
@@ -1624,40 +1624,40 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
haystack (π₯36 Β· β 14K) - LLM orchestration framework to build customizable, production-ready.. Apache-2
-- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 240 Β· π 1.6K Β· π₯ 24 Β· π¦ 270 Β· π 3.3K - 5% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/deepset-ai/haystack) (π¨βπ» 240 Β· π 1.6K Β· π₯ 24 Β· π¦ 280 Β· π 3.3K - 5% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/deepset-ai/haystack
```
-- [PyPi](https://pypi.org/project/haystack) (π₯ 4.4K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
+- [PyPi](https://pypi.org/project/haystack) (π₯ 4.3K / month Β· π¦ 5 Β· β±οΈ 15.12.2021):
```
pip install haystack
```
NeMo (π₯36 Β· β 10K) - A scalable generative AI framework built for researchers and.. Apache-2
-- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 310 Β· π 2.1K Β· π₯ 170K Β· π¦ 21 Β· π 2.2K - 5% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/NVIDIA/NeMo) (π¨βπ» 320 Β· π 2.2K Β· π₯ 180K Β· π¦ 21 Β· π 2.2K - 6% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/NVIDIA/NeMo
```
-- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 49K / month Β· π¦ 10 Β· β±οΈ 28.02.2024):
+- [PyPi](https://pypi.org/project/nemo-toolkit) (π₯ 49K / month Β· π¦ 13 Β· β±οΈ 28.02.2024):
```
pip install nemo-toolkit
```
fairseq (π₯35 Β· β 29K) - Facebook AI Research Sequence-to-Sequence Toolkit written in Python. MIT
-- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 6.3K Β· π₯ 330 Β· π¦ 3.1K Β· π 4.3K - 29% open Β· β±οΈ 13.03.2024):
+- [GitHub](https://github.com/facebookresearch/fairseq) (π¨βπ» 420 Β· π 6.3K Β· π₯ 330 Β· π¦ 3.2K Β· π 4.3K - 29% open Β· β±οΈ 13.03.2024):
```
git clone https://github.com/facebookresearch/fairseq
```
-- [PyPi](https://pypi.org/project/fairseq) (π₯ 310K / month Β· π¦ 110 Β· β±οΈ 27.06.2022):
+- [PyPi](https://pypi.org/project/fairseq) (π₯ 290K / month Β· π¦ 110 Β· β±οΈ 27.06.2022):
```
pip install fairseq
```
-- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 67K Β· β±οΈ 17.05.2024):
+- [Conda](https://anaconda.org/conda-forge/fairseq) (π₯ 68K Β· β±οΈ 17.05.2024):
```
conda install -c conda-forge fairseq
```
@@ -1669,14 +1669,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/OpenNMT/OpenNMT-py
```
-- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 12K / month Β· π¦ 18 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/OpenNMT-py) (π₯ 11K / month Β· π¦ 18 Β· β±οΈ 18.03.2024):
```
pip install OpenNMT-py
```
spark-nlp (π₯35 Β· β 3.7K) - State of the Art Natural Language Processing. Apache-2
-- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 700 Β· π¦ 430 Β· π 880 - 5% open Β· β±οΈ 02.05.2024):
+- [GitHub](https://github.com/JohnSnowLabs/spark-nlp) (π¨βπ» 110 Β· π 700 Β· π¦ 430 Β· π 880 - 5% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/JohnSnowLabs/spark-nlp
@@ -1686,18 +1686,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
pip install spark-nlp
```
torchtext (π₯35 Β· β 3.5K) - Models, data loaders and abstractions for language processing,.. BSD-3
-
-- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 840 - 38% open Β· β±οΈ 24.04.2024):
-
- ```
- git clone https://github.com/pytorch/text
- ```
-- [PyPi](https://pypi.org/project/torchtext) (π₯ 720K / month Β· π¦ 260 Β· β±οΈ 24.04.2024):
- ```
- pip install torchtext
- ```
-fastText (π₯34 Β· β 26K) - Library for fast text representation and classification. MIT
- [GitHub](https://github.com/facebookresearch/fastText) (π¨βπ» 68 Β· π 4.7K Β· π¦ 6K Β· π 1.2K - 47% open Β· β±οΈ 13.03.2024):
@@ -1709,7 +1697,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install fasttext
```
-- [Conda](https://anaconda.org/conda-forge/fasttext) (π₯ 81K Β· β±οΈ 19.05.2024):
+- [Conda](https://anaconda.org/conda-forge/fasttext) (π₯ 82K Β· β±οΈ 19.05.2024):
```
conda install -c conda-forge fasttext
```
@@ -1721,7 +1709,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/stanfordnlp/stanza
```
-- [PyPi](https://pypi.org/project/stanza) (π₯ 260K / month Β· π¦ 170 Β· β±οΈ 20.04.2024):
+- [PyPi](https://pypi.org/project/stanza) (π₯ 290K / month Β· π¦ 170 Β· β±οΈ 20.04.2024):
```
pip install stanza
```
@@ -1730,26 +1718,54 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c stanfordnlp stanza
```
torchtext (π₯34 Β· β 3.5K Β· π) - Models, data loaders and abstractions for language.. BSD-3
+
+- [GitHub](https://github.com/pytorch/text) (π¨βπ» 160 Β· π 810 Β· π 840 - 38% open Β· β±οΈ 24.04.2024):
+
+ ```
+ git clone https://github.com/pytorch/text
+ ```
+- [PyPi](https://pypi.org/project/torchtext) (π₯ 700K / month Β· π¦ 260 Β· β±οΈ 24.04.2024):
+ ```
+ pip install torchtext
+ ```
+jellyfish (π₯34 Β· β 2K Β· π) - a python library for doing approximate and phonetic matching of.. MIT
+
+- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 31 Β· π 160 Β· π¦ 9K Β· π 130 - 3% open Β· β±οΈ 28.05.2024):
+
+ ```
+ git clone https://github.com/jamesturk/jellyfish
+ ```
+- [PyPi](https://pypi.org/project/jellyfish) (π₯ 3.9M / month Β· π¦ 240 Β· β±οΈ 28.05.2024):
+ ```
+ pip install jellyfish
+ ```
+- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 870K Β· β±οΈ 29.05.2024):
+ ```
+ conda install -c conda-forge jellyfish
+ ```
+TensorFlow Text (π₯34 Β· β 1.2K) - Making text a first-class citizen in TensorFlow. Apache-2
-- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 330 Β· π¦ 6.8K Β· π 340 - 49% open Β· β±οΈ 13.03.2024):
+- [GitHub](https://github.com/tensorflow/text) (π¨βπ» 110 Β· π 330 Β· π¦ 6.9K Β· π 340 - 49% open Β· β±οΈ 13.03.2024):
```
git clone https://github.com/tensorflow/text
```
-- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 7.6M / month Β· π¦ 200 Β· β±οΈ 11.03.2024):
+- [PyPi](https://pypi.org/project/tensorflow-text) (π₯ 7.2M / month Β· π¦ 200 Β· β±οΈ 11.03.2024):
```
pip install tensorflow-text
```
rubrix (π₯33 Β· β 3.2K) - Argilla is a collaboration platform for AI engineers and domain.. Apache-2
-- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 88 Β· π 310 Β· π¦ 2.5K Β· π 1.9K - 7% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/argilla-io/argilla) (π¨βπ» 89 Β· π 310 Β· π¦ 2.5K Β· π 1.9K - 7% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/recognai/rubrix
```
-- [PyPi](https://pypi.org/project/rubrix) (π₯ 710 / month Β· β±οΈ 24.10.2022):
+- [PyPi](https://pypi.org/project/rubrix) (π₯ 660 / month Β· β±οΈ 24.10.2022):
```
pip install rubrix
```
@@ -1760,7 +1776,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
qdrant (π₯32 Β· β 18K) - Qdrant - High-performance, massive-scale Vector Database for the next.. Apache-2
-- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 100 Β· π 1.2K Β· π₯ 37K Β· π¦ 110 Β· π 1.1K - 20% open Β· β±οΈ 10.05.2024):
+- [GitHub](https://github.com/qdrant/qdrant) (π¨βπ» 110 Β· π 1.2K Β· π₯ 39K Β· π¦ 110 Β· π 1.1K - 20% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/qdrant/qdrant
@@ -1785,7 +1801,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/rspeer/python-ftfy
```
-- [PyPi](https://pypi.org/project/ftfy) (π₯ 4.9M / month Β· π¦ 490 Β· β±οΈ 15.03.2024):
+- [PyPi](https://pypi.org/project/ftfy) (π₯ 5M / month Β· π¦ 500 Β· β±οΈ 15.03.2024):
```
pip install ftfy
```
@@ -1794,22 +1810,6 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
conda install -c conda-forge ftfy
```
jellyfish (π₯32 Β· β 2K) - a python library for doing approximate and phonetic matching of strings. MIT
-
-- [GitHub](https://github.com/jamesturk/jellyfish) (π¨βπ» 31 Β· π 160 Β· π¦ 9K Β· π 130 - 4% open Β· β±οΈ 28.03.2024):
-
- ```
- git clone https://github.com/jamesturk/jellyfish
- ```
-- [PyPi](https://pypi.org/project/jellyfish) (π₯ 3.7M / month Β· π¦ 240 Β· β±οΈ 17.11.2023):
- ```
- pip install jellyfish
- ```
-- [Conda](https://anaconda.org/conda-forge/jellyfish) (π₯ 860K Β· β±οΈ 17.11.2023):
- ```
- conda install -c conda-forge jellyfish
- ```
-ParlAI (π₯30 Β· β 10K) - A framework for training and evaluating AI models on a variety of.. MIT
- [GitHub](https://github.com/facebookresearch/ParlAI) (π¨βπ» 220 Β· π 2.1K Β· π¦ 21 Β· π 1.5K - 3% open Β· β±οΈ 03.11.2023):
@@ -1817,7 +1817,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/facebookresearch/ParlAI
```
-- [PyPi](https://pypi.org/project/parlai) (π₯ 3.1K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
+- [PyPi](https://pypi.org/project/parlai) (π₯ 3K / month Β· π¦ 5 Β· β±οΈ 20.09.2022):
```
pip install parlai
```
@@ -1833,7 +1833,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install dedupe
```
-- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 49K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/dedupe) (π₯ 51K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge dedupe
```
@@ -1845,11 +1845,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/life4/textdistance
```
-- [PyPi](https://pypi.org/project/textdistance) (π₯ 900K / month Β· π¦ 93 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/textdistance) (π₯ 890K / month Β· π¦ 93 Β· β±οΈ 24.04.2024):
```
pip install textdistance
```
-- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 550K Β· β±οΈ 25.04.2024):
+- [Conda](https://anaconda.org/conda-forge/textdistance) (π₯ 560K Β· β±οΈ 25.04.2024):
```
conda install -c conda-forge textdistance
```
@@ -1861,14 +1861,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/allenai/scispacy
```
-- [PyPi](https://pypi.org/project/scispacy) (π₯ 25K / month Β· π¦ 31 Β· β±οΈ 08.03.2024):
+- [PyPi](https://pypi.org/project/scispacy) (π₯ 26K / month Β· π¦ 31 Β· β±οΈ 08.03.2024):
```
pip install scispacy
```
spacy-transformers (π₯30 Β· β 1.3K) - Use pretrained transformers like BERT, XLNet and GPT-2.. MIT spacy
-- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 160 Β· π¦ 1.7K Β· β±οΈ 25.04.2024):
+- [GitHub](https://github.com/explosion/spacy-transformers) (π¨βπ» 22 Β· π 160 Β· π¦ 1.7K Β· β±οΈ 30.05.2024):
```
git clone https://github.com/explosion/spacy-transformers
@@ -1877,7 +1877,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
pip install spacy-transformers
```
-- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 34K Β· β±οΈ 19.12.2023):
+- [Conda](https://anaconda.org/conda-forge/spacy-transformers) (π₯ 35K Β· β±οΈ 19.12.2023):
```
conda install -c conda-forge spacy-transformers
```
@@ -1889,7 +1889,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/snowballstem/snowball
```
-- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 16M / month Β· π¦ 400 Β· β±οΈ 16.11.2021):
+- [PyPi](https://pypi.org/project/snowballstemmer) (π₯ 15M / month Β· π¦ 410 Β· β±οΈ 16.11.2021):
```
pip install snowballstemmer
```
@@ -1900,16 +1900,16 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
Sumy (π₯29 Β· β 3.4K) - Module for automatic summarization of text documents and HTML pages. Apache-2
-- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 520 Β· π¦ 2.7K Β· π 120 - 17% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/miso-belica/sumy) (π¨βπ» 32 Β· π 520 Β· π¦ 2.8K Β· π 120 - 17% open Β· β±οΈ 16.05.2024):
```
git clone https://github.com/miso-belica/sumy
```
-- [PyPi](https://pypi.org/project/sumy) (π₯ 430K / month Β· π¦ 26 Β· β±οΈ 23.10.2022):
+- [PyPi](https://pypi.org/project/sumy) (π₯ 510K / month Β· π¦ 27 Β· β±οΈ 23.10.2022):
```
pip install sumy
```
-- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 8K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/sumy) (π₯ 8.1K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge sumy
```
@@ -1921,7 +1921,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/cltk/cltk
```
-- [PyPi](https://pypi.org/project/cltk) (π₯ 1.6K / month Β· π¦ 15 Β· β±οΈ 12.05.2024):
+- [PyPi](https://pypi.org/project/cltk) (π₯ 1.7K / month Β· π¦ 15 Β· β±οΈ 12.05.2024):
```
pip install cltk
```
@@ -1933,7 +1933,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/Ciphey/Ciphey
```
-- [PyPi](https://pypi.org/project/ciphey) (π₯ 45K / month Β· β±οΈ 06.06.2021):
+- [PyPi](https://pypi.org/project/ciphey) (π₯ 41K / month Β· β±οΈ 06.06.2021):
```
pip install ciphey
```
@@ -1944,24 +1944,24 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
DeepKE (π₯27 Β· β 3K) - [EMNLP 2022] An Open Toolkit for Knowledge Graph Extraction and.. MIT
-- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 630 Β· π¦ 21 Β· π 480 - 0% open Β· β±οΈ 18.05.2024):
+- [GitHub](https://github.com/zjunlp/DeepKE) (π¨βπ» 31 Β· π 640 Β· π¦ 21 Β· π 490 - 0% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/zjunlp/deepke
```
-- [PyPi](https://pypi.org/project/deepke) (π₯ 390 / month Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/deepke) (π₯ 340 / month Β· β±οΈ 21.09.2023):
```
pip install deepke
```
scattertext (π₯26 Β· β 2.2K) - Beautiful visualizations of how language differs among document.. Apache-2
-- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 280 Β· π¦ 550 Β· π 100 - 21% open Β· β±οΈ 06.03.2024):
+- [GitHub](https://github.com/JasonKessler/scattertext) (π¨βπ» 14 Β· π 280 Β· π¦ 560 Β· π 100 - 21% open Β· β±οΈ 06.03.2024):
```
git clone https://github.com/JasonKessler/scattertext
```
-- [PyPi](https://pypi.org/project/scattertext) (π₯ 13K / month Β· π¦ 5 Β· β±οΈ 06.03.2024):
+- [PyPi](https://pypi.org/project/scattertext) (π₯ 12K / month Β· π¦ 5 Β· β±οΈ 06.03.2024):
```
pip install scattertext
```
@@ -1977,7 +1977,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/DerwenAI/pytextrank
```
-- [PyPi](https://pypi.org/project/pytextrank) (π₯ 42K / month Β· π¦ 17 Β· β±οΈ 21.02.2024):
+- [PyPi](https://pypi.org/project/pytextrank) (π₯ 42K / month Β· π¦ 18 Β· β±οΈ 21.02.2024):
```
pip install pytextrank
```
@@ -1996,12 +1996,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
promptsource (π₯24 Β· β 2.5K Β· π€) - Toolkit for creating, sharing and using natural language.. Apache-2
-- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 340 Β· π¦ 94 Β· π 190 - 22% open Β· β±οΈ 23.10.2023):
+- [GitHub](https://github.com/bigscience-workshop/promptsource) (π¨βπ» 65 Β· π 340 Β· π¦ 95 Β· π 190 - 22% open Β· β±οΈ 23.10.2023):
```
git clone https://github.com/bigscience-workshop/promptsource
```
-- [PyPi](https://pypi.org/project/promptsource) (π₯ 750 / month Β· π¦ 4 Β· β±οΈ 18.04.2022):
+- [PyPi](https://pypi.org/project/promptsource) (π₯ 720 / month Β· π¦ 4 Β· β±οΈ 18.04.2022):
```
pip install promptsource
```
@@ -2013,14 +2013,14 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/PetrochukM/PyTorch-NLP
```
-- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 6.7K / month Β· π¦ 19 Β· β±οΈ 04.11.2019):
+- [PyPi](https://pypi.org/project/pytorch-nlp) (π₯ 5.6K / month Β· π¦ 19 Β· β±οΈ 04.11.2019):
```
pip install pytorch-nlp
```
detoxify (π₯24 Β· β 860) - Trained models & code to predict toxic comments on all 3 Jigsaw.. Apache-2
-- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 110 Β· π₯ 490K Β· π¦ 600 Β· π 62 - 56% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/unitaryai/detoxify) (π¨βπ» 12 Β· π 110 Β· π₯ 500K Β· π¦ 600 Β· π 62 - 56% open Β· β±οΈ 16.05.2024):
```
git clone https://github.com/unitaryai/detoxify
@@ -2032,12 +2032,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
T5 (π₯23 Β· β 5.9K) - Code for the paper Exploring the Limits of Transfer Learning with a.. Apache-2
-- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 58 Β· π 740 Β· π 450 - 23% open Β· β±οΈ 23.01.2024):
+- [GitHub](https://github.com/google-research/text-to-text-transfer-transformer) (π¨βπ» 59 Β· π 740 Β· π 450 - 23% open Β· β±οΈ 23.01.2024):
```
git clone https://github.com/google-research/text-to-text-transfer-transformer
```
-- [PyPi](https://pypi.org/project/t5) (π₯ 41K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
+- [PyPi](https://pypi.org/project/t5) (π₯ 42K / month Β· π¦ 2 Β· β±οΈ 18.10.2021):
```
pip install t5
```
@@ -2049,7 +2049,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/jbesomi/texthero
```
-- [PyPi](https://pypi.org/project/texthero) (π₯ 8.3K / month Β· π¦ 6 Β· β±οΈ 01.07.2021):
+- [PyPi](https://pypi.org/project/texthero) (π₯ 9.2K / month Β· π¦ 6 Β· β±οΈ 01.07.2021):
```
pip install texthero
```
@@ -2061,19 +2061,19 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/awslabs/sockeye
```
-- [PyPi](https://pypi.org/project/sockeye) (π₯ 1.5K / month Β· β±οΈ 03.03.2023):
+- [PyPi](https://pypi.org/project/sockeye) (π₯ 1.1K / month Β· β±οΈ 03.03.2023):
```
pip install sockeye
```
happy-transformer (π₯22 Β· β 510) - Happy Transformer makes it easy to fine-tune and.. Apache-2 huggingface
-- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 65 Β· π¦ 250 Β· π 130 - 14% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/EricFillion/happy-transformer) (π¨βπ» 14 Β· π 67 Β· π¦ 260 Β· π 130 - 14% open Β· β±οΈ 19.03.2024):
```
git clone https://github.com/EricFillion/happy-transformer
```
-- [PyPi](https://pypi.org/project/happytransformer) (π₯ 2.7K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
+- [PyPi](https://pypi.org/project/happytransformer) (π₯ 2.6K / month Β· π¦ 5 Β· β±οΈ 05.08.2023):
```
pip install happytransformer
```
@@ -2085,23 +2085,11 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/utterworks/fast-bert
```
-- [PyPi](https://pypi.org/project/fast-bert) (π₯ 1.1K / month Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/fast-bert) (π₯ 840 / month Β· β±οΈ 30.01.2024):
```
pip install fast-bert
```
UForm (π₯21 Β· β 910) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
-
-- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 14 Β· π 53 Β· π₯ 270 Β· π¦ 6 Β· π 24 - 20% open Β· β±οΈ 25.04.2024):
-
- ```
- git clone https://github.com/unum-cloud/uform
- ```
-- [PyPi](https://pypi.org/project/uform) (π₯ 1.1K / month Β· π¦ 1 Β· β±οΈ 25.04.2024):
- ```
- pip install uform
- ```
-finetune (π₯21 Β· β 700) - Scikit-learn style model finetuning for NLP. MPL-2.0
- [GitHub](https://github.com/IndicoDataSolutions/finetune) (π¨βπ» 23 Β· π 80 Β· π¦ 11 Β· π 140 - 15% open Β· β±οΈ 27.03.2024):
@@ -2109,7 +2097,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/IndicoDataSolutions/finetune
```
-- [PyPi](https://pypi.org/project/finetune) (π₯ 200 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/finetune) (π₯ 160 / month Β· π¦ 2 Β· β±οΈ 29.09.2023):
```
pip install finetune
```
@@ -2121,30 +2109,42 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
```
git clone https://github.com/webis-de/small-text
```
-- [PyPi](https://pypi.org/project/small-text) (π₯ 650 / month Β· β±οΈ 29.12.2023):
+- [PyPi](https://pypi.org/project/small-text) (π₯ 640 / month Β· β±οΈ 29.12.2023):
```
pip install small-text
```
-- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 6K Β· β±οΈ 29.12.2023):
+- [Conda](https://anaconda.org/conda-forge/small-text) (π₯ 6.2K Β· β±οΈ 29.12.2023):
```
conda install -c conda-forge small-text
```
lightseq (π₯20 Β· β 3.1K Β· π€) - LightSeq: A High Performance Library for Sequence Processing.. Apache-2
-- [GitHub](https://github.com/bytedance/lightseq) (π¨βπ» 20 Β· π 320 Β· π₯ 680 Β· π 280 - 61% open Β· β±οΈ 10.05.2023):
+- [GitHub](https://github.com/bytedance/lightseq) (π¨βπ» 20 Β· π 320 Β· π₯ 680 Β· π 290 - 61% open Β· β±οΈ 10.05.2023):
```
git clone https://github.com/bytedance/lightseq
```
-- [PyPi](https://pypi.org/project/lightseq) (π₯ 3.2K / month Β· π¦ 2 Β· β±οΈ 03.11.2022):
+- [PyPi](https://pypi.org/project/lightseq) (π₯ 3.3K / month Β· π¦ 2 Β· β±οΈ 03.11.2022):
```
pip install lightseq
```
UForm (π₯20 Β· β 920) - Pocket-Sized Multimodal AI for content understanding and.. Apache-2
+
+- [GitHub](https://github.com/unum-cloud/uform) (π¨βπ» 14 Β· π 55 Β· π₯ 280 Β· π¦ 6 Β· π 24 - 20% open Β· β±οΈ 25.04.2024):
+
+ ```
+ git clone https://github.com/unum-cloud/uform
+ ```
+- [PyPi](https://pypi.org/project/uform) (π₯ 740 / month Β· π¦ 1 Β· β±οΈ 25.04.2024):
+ ```
+ pip install uform
+ ```
+textaugment (π₯18 Β· β 380) - TextAugment: Text Augmentation Library. MIT
-- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 61 Β· π₯ 69 Β· π¦ 94 Β· π 29 - 37% open Β· β±οΈ 17.11.2023):
+- [GitHub](https://github.com/dsfsi/textaugment) (π¨βπ» 8 Β· π 60 Β· π₯ 69 Β· π¦ 97 Β· π 29 - 37% open Β· β±οΈ 17.11.2023):
```
git clone https://github.com/dsfsi/textaugment
@@ -2176,12 +2176,12 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
VizSeq (π₯15 Β· β 440) - An Analysis Toolkit for Natural Language Generation (Translation,.. MIT
-- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 4 Β· π 61 Β· π¦ 9 Β· π 15 - 40% open Β· β±οΈ 21.04.2024):
+- [GitHub](https://github.com/facebookresearch/vizseq) (π¨βπ» 4 Β· π 61 Β· π¦ 9 Β· π 16 - 43% open Β· β±οΈ 21.04.2024):
```
git clone https://github.com/facebookresearch/vizseq
```
-- [PyPi](https://pypi.org/project/vizseq) (π₯ 100 / month Β· β±οΈ 07.08.2020):
+- [PyPi](https://pypi.org/project/vizseq) (π₯ 120 / month Β· β±οΈ 07.08.2020):
```
pip install vizseq
```
@@ -2195,8 +2195,8 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- GluonNLP (π₯29 Β· β 2.6K Β· π) - Toolkit that enables easy text preprocessing, datasets.. Apache-2 
Unlicense
- vaderSentiment (π₯28 Β· β 4.3K Β· π) - VADER Sentiment Analysis. VADER (Valence Aware Dictionary.. MIT
-- langid (π₯28 Β· β 2.2K Β· π) - Stand-alone language identification system. BSD-3
-- fastNLP (π₯27 Β· β 3K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
+- fastNLP (π₯28 Β· β 3K Β· π) - fastNLP: A Modularized and Extensible NLP Framework. Currently.. Apache-2
+- langid (π₯28 Β· β 2.3K Β· π) - Stand-alone language identification system. BSD-3
- polyglot (π₯27 Β· β 2.3K Β· π) - Multilingual text (NLP) processing toolkit. βοΈGPL-3.0
- textacy (π₯27 Β· β 2.2K Β· π) - NLP, before and after spaCy. βUnlicensed
- flashtext (π₯26 Β· β 5.6K Β· π) - Extract Keywords from sentence or Replace keywords in sentences. MIT
@@ -2206,7 +2206,7 @@ _Libraries for processing, cleaning, manipulating, and analyzing text data as we
- sense2vec (π₯25 Β· β 1.6K Β· π) - Contextually-keyed word vectors. MIT
- pySBD (π₯25 Β· β 740 Β· π) - pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence.. MIT
- whoosh (π₯25 Β· β 540 Β· π) - Pure-Python full-text search library. βοΈBSD-1-Clause
-- PyText (π₯24 Β· β 6.3K Β· π) - A natural language modeling framework based on PyTorch. BSD-3 BSD-3 MIT Apache-2 Apache-2 Apache-2
- DELTA (π₯21 Β· β 1.6K Β· π) - DELTA is a deep learning based natural language and speech.. Apache-2 MIT MIT
- pyfasttext (π₯19 Β· β 230 Β· π) - Yet another Python binding for fastText. βοΈGPL-3.0
- numerizer (π₯19 Β· β 210 Β· π€) - A Python module to convert natural language numerics into ints and.. MIT
- nboost (π₯18 Β· β 670 Β· π) - NBoost is a scalable, search-api-boosting platform for deploying.. Apache-2
- fastT5 (π₯18 Β· β 540 Β· π) - boost inference speed of T5 models by 5x & reduce the model size.. Apache-2
- Camphr (π₯18 Β· β 340 Β· π) - Camphr - NLP libary for creating pipeline components. Apache-2 spacy
+- textpipe (π₯18 Β· β 300 Β· π) - Textpipe: clean and extract metadata from text. MIT
- NeuroNER (π₯17 Β· β 1.7K Β· π) - Named-entity recognition using neural networks. Easy-to-use and.. MIT
- skift (π₯16 Β· β 240 Β· π) - scikit-learn wrappers for Python fastText. MIT MIT
- Translate (π₯15 Β· β 820 Β· π) - Translate - a PyTorch Language Library. BSD-3 MIT
+- TransferNLP (π₯14 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT MIT
-- TransferNLP (π₯13 Β· β 290 Β· π) - NLP library designed for reproducible experimentation.. MIT MIT
- ONNX-T5 (π₯13 Β· β 250 Β· π) - Summarization, translation, sentiment-analysis, text-generation.. Apache-2
- textvec (π₯13 Β· β 190) - Text vectorization tool to outperform TFIDF for classification tasks. MIT MIT spacy
@@ -2247,7 +2247,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
Pillow (π₯48 Β· β 12K) - Python Imaging Library (Fork). βοΈPIL
-- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 470 Β· π 2.1K Β· π¦ 1.7M Β· π 3.1K - 3% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/python-pillow/Pillow) (π¨βπ» 470 Β· π 2.1K Β· π¦ 1.7M Β· π 3.1K - 3% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/python-pillow/Pillow
@@ -2256,63 +2256,63 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install Pillow
```
-- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 39M Β· β±οΈ 03.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pillow) (π₯ 40M Β· β±οΈ 03.04.2024):
```
conda install -c conda-forge pillow
```
torchvision (π₯42 Β· β 16K) - Datasets, Transforms and Models specific to Computer Vision. BSD-3
-- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 590 Β· π 6.8K Β· π₯ 38K Β· π¦ 21 Β· π 3.4K - 29% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/pytorch/vision) (π¨βπ» 590 Β· π 6.8K Β· π₯ 38K Β· π¦ 21 Β· π 3.4K - 29% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/pytorch/vision
```
-- [PyPi](https://pypi.org/project/torchvision) (π₯ 14M / month Β· π¦ 4.9K Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/torchvision) (π₯ 13M / month Β· π¦ 5K Β· β±οΈ 24.04.2024):
```
pip install torchvision
```
-- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.1M Β· β±οΈ 16.05.2024):
+- [Conda](https://anaconda.org/conda-forge/torchvision) (π₯ 1.2M Β· β±οΈ 16.05.2024):
```
conda install -c conda-forge torchvision
```
PyTorch Image Models (π₯41 Β· β 30K) - The largest collection of PyTorch image encoders /.. Apache-2
-- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 140 Β· π 4.6K Β· π₯ 6.6M Β· π¦ 29K Β· π 870 - 7% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/huggingface/pytorch-image-models) (π¨βπ» 140 Β· π 4.6K Β· π₯ 6.6M Β· π¦ 29K Β· π 870 - 7% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/rwightman/pytorch-image-models
```
-- [PyPi](https://pypi.org/project/timm) (π₯ 5.3M / month Β· π¦ 750 Β· β±οΈ 15.05.2024):
+- [PyPi](https://pypi.org/project/timm) (π₯ 5.1M / month Β· π¦ 760 Β· β±οΈ 15.05.2024):
```
pip install timm
```
-- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 150K Β· β±οΈ 16.05.2024):
+- [Conda](https://anaconda.org/conda-forge/timm) (π₯ 160K Β· β±οΈ 16.05.2024):
```
conda install -c conda-forge timm
```
MMDetection (π₯38 Β· β 28K) - OpenMMLab Detection Toolbox and Benchmark. Apache-2
-- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.2K Β· π¦ 2.5K Β· π 8.2K - 19% open Β· β±οΈ 05.02.2024):
+- [GitHub](https://github.com/open-mmlab/mmdetection) (π¨βπ» 480 Β· π 9.2K Β· π¦ 2.5K Β· π 8.3K - 19% open Β· β±οΈ 05.02.2024):
```
git clone https://github.com/open-mmlab/mmdetection
```
-- [PyPi](https://pypi.org/project/mmdet) (π₯ 190K / month Β· π¦ 64 Β· β±οΈ 05.01.2024):
+- [PyPi](https://pypi.org/project/mmdet) (π₯ 240K / month Β· π¦ 64 Β· β±οΈ 05.01.2024):
```
pip install mmdet
```
Albumentations (π₯38 Β· β 14K) - Fast image augmentation library and an easy-to-use wrapper.. MIT
-- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 140 Β· π 1.6K Β· π¦ 24K Β· π 950 - 45% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/albumentations-team/albumentations) (π¨βπ» 140 Β· π 1.6K Β· π¦ 24K Β· π 950 - 44% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/albumentations-team/albumentations
```
-- [PyPi](https://pypi.org/project/albumentations) (π₯ 2.1M / month Β· π¦ 510 Β· β±οΈ 04.05.2024):
+- [PyPi](https://pypi.org/project/albumentations) (π₯ 2.1M / month Β· π¦ 510 Β· β±οΈ 28.05.2024):
```
pip install albumentations
```
@@ -2321,30 +2321,14 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge albumentations
```
Kornia (π₯38 Β· β 9.5K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-
-- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 260 Β· π 940 Β· π₯ 1.1K Β· π¦ 9.9K Β· π 910 - 29% open Β· β±οΈ 22.05.2024):
-
- ```
- git clone https://github.com/kornia/kornia
- ```
-- [PyPi](https://pypi.org/project/kornia) (π₯ 1.4M / month Β· π¦ 240 Β· β±οΈ 14.03.2024):
- ```
- pip install kornia
- ```
-- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 120K Β· β±οΈ 20.02.2024):
- ```
- conda install -c conda-forge kornia
- ```
-MoviePy (π₯37 Β· β 12K Β· π€) - Video editing with Python. MIT
+MoviePy (π₯38 Β· β 12K) - Video editing with Python. MIT
-- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.5K Β· π¦ 39K Β· π 1.5K - 28% open Β· β±οΈ 11.07.2023):
+- [GitHub](https://github.com/Zulko/moviepy) (π¨βπ» 160 Β· π 1.5K Β· π¦ 39K Β· π 1.5K - 28% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/Zulko/moviepy
```
-- [PyPi](https://pypi.org/project/moviepy) (π₯ 1.1M / month Β· π¦ 800 Β· β±οΈ 15.12.2021):
+- [PyPi](https://pypi.org/project/moviepy) (π₯ 1.2M / month Β· π¦ 810 Β· β±οΈ 15.12.2021):
```
pip install moviepy
```
@@ -2353,21 +2337,25 @@ _Libraries for image & video processing, manipulation, and augmentation as well
conda install -c conda-forge moviepy
```
deepface (π₯37 Β· β 10K) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+Kornia (π₯38 Β· β 9.5K) - Geometric Computer Vision Library for Spatial AI. Apache-2
-- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 62 Β· π 1.8K Β· π¦ 3.2K Β· π 1K - 0% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/kornia/kornia) (π¨βπ» 260 Β· π 940 Β· π₯ 1.1K Β· π¦ 10K Β· π 910 - 29% open Β· β±οΈ 28.05.2024):
```
- git clone https://github.com/serengil/deepface
+ git clone https://github.com/kornia/kornia
```
-- [PyPi](https://pypi.org/project/deepface) (π₯ 63K / month Β· π¦ 33 Β· β±οΈ 02.05.2024):
+- [PyPi](https://pypi.org/project/kornia) (π₯ 1.4M / month Β· π¦ 240 Β· β±οΈ 14.03.2024):
```
- pip install deepface
+ pip install kornia
+ ```
+- [Conda](https://anaconda.org/conda-forge/kornia) (π₯ 130K Β· β±οΈ 20.02.2024):
+ ```
+ conda install -c conda-forge kornia
```
imageio (π₯37 Β· β 1.4K) - Python library for reading and writing image data. BSD-2
-- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 290 Β· π₯ 1K Β· π¦ 130K Β· π 600 - 17% open Β· β±οΈ 11.05.2024):
+- [GitHub](https://github.com/imageio/imageio) (π¨βπ» 110 Β· π 290 Β· π₯ 1.1K Β· π¦ 130K Β· π 600 - 17% open Β· β±οΈ 11.05.2024):
```
git clone https://github.com/imageio/imageio
@@ -2383,31 +2371,43 @@ _Libraries for image & video processing, manipulation, and augmentation as well
InsightFace (π₯36 Β· β 22K) - State-of-the-art 2D and 3D Face Analysis Project. MIT
-- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 60 Β· π 5.2K Β· π₯ 3.2M Β· π¦ 2.1K Β· π 2.4K - 44% open Β· β±οΈ 08.05.2024):
+- [GitHub](https://github.com/deepinsight/insightface) (π¨βπ» 60 Β· π 5.2K Β· π₯ 3.3M Β· π¦ 2.2K Β· π 2.4K - 44% open Β· β±οΈ 08.05.2024):
```
git clone https://github.com/deepinsight/insightface
```
-- [PyPi](https://pypi.org/project/insightface) (π₯ 380K / month Β· π¦ 20 Β· β±οΈ 17.12.2022):
+- [PyPi](https://pypi.org/project/insightface) (π₯ 370K / month Β· π¦ 20 Β· β±οΈ 17.12.2022):
```
pip install insightface
```
opencv-python (π₯35 Β· β 4.2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
+deepface (π₯36 Β· β 10K Β· π) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+
+- [GitHub](https://github.com/serengil/deepface) (π¨βπ» 62 Β· π 1.8K Β· π¦ 3.2K Β· π 1K - 0% open Β· β±οΈ 20.05.2024):
+
+ ```
+ git clone https://github.com/serengil/deepface
+ ```
+- [PyPi](https://pypi.org/project/deepface) (π₯ 63K / month Β· π¦ 35 Β· β±οΈ 02.05.2024):
+ ```
+ pip install deepface
+ ```
+opencv-python (π₯36 Β· β 4.2K) - Automated CI toolchain to produce precompiled opencv-python,.. MIT
-- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 48 Β· π 800 Β· π¦ 390K Β· π 780 - 14% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/opencv/opencv-python) (π¨βπ» 48 Β· π 800 Β· π¦ 400K Β· π 780 - 14% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/opencv/opencv-python
```
-- [PyPi](https://pypi.org/project/opencv-python) (π₯ 14M / month Β· π¦ 9.4K Β· β±οΈ 31.12.2023):
+- [PyPi](https://pypi.org/project/opencv-python) (π₯ 14M / month Β· π¦ 9.5K Β· β±οΈ 31.12.2023):
```
pip install opencv-python
```
detectron2 (π₯34 Β· β 29K) - Detectron2 is a platform for object detection, segmentation.. Apache-2
-- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 270 Β· π 7.2K Β· π¦ 1.8K Β· π 3.5K - 13% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/facebookresearch/detectron2) (π¨βπ» 270 Β· π 7.2K Β· π¦ 1.8K Β· π 3.5K - 13% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/facebookresearch/detectron2
@@ -2416,7 +2416,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
pip install detectron2
```
-- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 260K Β· β±οΈ 19.05.2024):
+- [Conda](https://anaconda.org/conda-forge/detectron2) (π₯ 270K Β· β±οΈ 19.05.2024):
```
conda install -c conda-forge detectron2
```
@@ -2428,11 +2428,11 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/emcconville/wand
```
-- [PyPi](https://pypi.org/project/wand) (π₯ 840K / month Β· π¦ 240 Β· β±οΈ 03.11.2023):
+- [PyPi](https://pypi.org/project/wand) (π₯ 850K / month Β· π¦ 240 Β· β±οΈ 03.11.2023):
```
pip install wand
```
-- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 46K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/wand) (π₯ 47K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge wand
```
@@ -2451,44 +2451,28 @@ _Libraries for image & video processing, manipulation, and augmentation as well
imageai (π₯31 Β· β 8.4K) - A python library built to empower developers to build applications and.. MIT
-- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.2K Β· π₯ 920K Β· π¦ 1.6K Β· π 760 - 40% open Β· β±οΈ 20.02.2024):
+- [GitHub](https://github.com/OlafenwaMoses/ImageAI) (π¨βπ» 19 Β· π 2.2K Β· π₯ 930K Β· π¦ 1.6K Β· π 760 - 40% open Β· β±οΈ 20.02.2024):
```
git clone https://github.com/OlafenwaMoses/ImageAI
```
-- [PyPi](https://pypi.org/project/imageai) (π₯ 9.3K / month Β· π¦ 19 Β· β±οΈ 02.01.2023):
+- [PyPi](https://pypi.org/project/imageai) (π₯ 9.8K / month Β· π¦ 19 Β· β±οΈ 02.01.2023):
```
pip install imageai
```
-- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 7.1K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/imageai) (π₯ 7.2K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge imageai
```
ImageHash (π₯31 Β· β 3K Β· π€) - A Python Perceptual Image Hashing Module. BSD-2
-
-- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 26 Β· π 320 Β· π¦ 13K Β· π 140 - 10% open Β· β±οΈ 24.10.2023):
-
- ```
- git clone https://github.com/JohannesBuchner/imagehash
- ```
-- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.7M / month Β· π¦ 220 Β· β±οΈ 28.09.2022):
- ```
- pip install ImageHash
- ```
-- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 370K Β· β±οΈ 16.06.2023):
- ```
- conda install -c conda-forge imagehash
- ```
-lightly (π₯31 Β· β 2.8K) - A python library for self-supervised learning on images. MIT
-- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 40 Β· π 240 Β· π¦ 260 Β· π 520 - 19% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/lightly-ai/lightly) (π¨βπ» 40 Β· π 240 Β· π¦ 260 Β· π 520 - 19% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/lightly-ai/lightly
```
-- [PyPi](https://pypi.org/project/lightly) (π₯ 31K / month Β· π¦ 11 Β· β±οΈ 16.05.2024):
+- [PyPi](https://pypi.org/project/lightly) (π₯ 32K / month Β· π¦ 13 Β· β±οΈ 29.05.2024):
```
pip install lightly
```
@@ -2505,42 +2489,58 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install vit-pytorch
```
sahi (π₯30 Β· β 3.6K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
+sahi (π₯30 Β· β 3.7K) - Framework agnostic sliced/tiled inference + interactive ui + error analysis.. MIT
- [GitHub](https://github.com/obss/sahi) (π¨βπ» 44 Β· π 540 Β· π₯ 25K Β· π¦ 1.1K Β· β±οΈ 20.05.2024):
```
git clone https://github.com/obss/sahi
```
-- [PyPi](https://pypi.org/project/sahi) (π₯ 110K / month Β· π¦ 25 Β· β±οΈ 20.05.2024):
+- [PyPi](https://pypi.org/project/sahi) (π₯ 120K / month Β· π¦ 25 Β· β±οΈ 20.05.2024):
```
pip install sahi
```
-- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 58K Β· β±οΈ 21.05.2024):
+- [Conda](https://anaconda.org/conda-forge/sahi) (π₯ 59K Β· β±οΈ 21.05.2024):
```
conda install -c conda-forge sahi
```
doctr (π₯29 Β· β 3.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
+ImageHash (π₯30 Β· β 3K) - A Python Perceptual Image Hashing Module. BSD-2
+
+- [GitHub](https://github.com/JohannesBuchner/imagehash) (π¨βπ» 26 Β· π 320 Β· π¦ 13K Β· π 140 - 10% open Β· β±οΈ 26.05.2024):
+
+ ```
+ git clone https://github.com/JohannesBuchner/imagehash
+ ```
+- [PyPi](https://pypi.org/project/ImageHash) (π₯ 1.7M / month Β· π¦ 220 Β· β±οΈ 28.09.2022):
+ ```
+ pip install ImageHash
+ ```
+- [Conda](https://anaconda.org/conda-forge/imagehash) (π₯ 370K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge imagehash
+ ```
+doctr (π₯29 Β· β 3.2K) - docTR (Document Text Recognition) - a seamless, high-.. Apache-2
-- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 46 Β· π 360 Β· π₯ 2.9M Β· π 340 - 9% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/mindee/doctr) (π¨βπ» 46 Β· π 370 Β· π₯ 3M Β· π 340 - 9% open Β· β±οΈ 22.05.2024):
```
git clone https://github.com/mindee/doctr
```
-- [PyPi](https://pypi.org/project/python-doctr) (π₯ 32K / month Β· π¦ 3 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/python-doctr) (π₯ 31K / month Β· π¦ 3 Β· β±οΈ 04.03.2024):
```
pip install python-doctr
```
mahotas (π₯29 Β· β 830) - Computer Vision in Python. MIT
+mahotas (π₯29 Β· β 830) - Computer Vision in Python. MIT
- [GitHub](https://github.com/luispedro/mahotas) (π¨βπ» 35 Β· π 150 Β· π¦ 1.3K Β· π 89 - 22% open Β· β±οΈ 22.05.2024):
```
git clone https://github.com/luispedro/mahotas
```
-- [PyPi](https://pypi.org/project/mahotas) (π₯ 17K / month Β· π¦ 60 Β· β±οΈ 17.04.2024):
+- [PyPi](https://pypi.org/project/mahotas) (π₯ 15K / month Β· π¦ 60 Β· β±οΈ 17.04.2024):
```
pip install mahotas
```
@@ -2556,19 +2556,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/1adrianb/face-alignment
```
-- [PyPi](https://pypi.org/project/face-alignment) (π₯ 78K / month Β· π¦ 9 Β· β±οΈ 17.08.2023):
+- [PyPi](https://pypi.org/project/face-alignment) (π₯ 74K / month Β· π¦ 9 Β· β±οΈ 17.08.2023):
```
pip install face-alignment
```
facenet-pytorch (π₯28 Β· β 4.2K) - Pretrained Pytorch face detection (MTCNN) and facial.. MIT
-- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 17 Β· π 920 Β· π₯ 990K Β· π¦ 1.8K Β· π 180 - 39% open Β· β±οΈ 05.04.2024):
+- [GitHub](https://github.com/timesler/facenet-pytorch) (π¨βπ» 17 Β· π 920 Β· π₯ 1M Β· π¦ 1.8K Β· π 180 - 39% open Β· β±οΈ 05.04.2024):
```
git clone https://github.com/timesler/facenet-pytorch
```
-- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 66K / month Β· π¦ 30 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/facenet-pytorch) (π₯ 63K / month Β· π¦ 30 Β· β±οΈ 29.04.2024):
```
pip install facenet-pytorch
```
@@ -2580,31 +2580,31 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/PaddlePaddle/PaddleDetection
```
-- [PyPi](https://pypi.org/project/paddledet) (π₯ 720 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
+- [PyPi](https://pypi.org/project/paddledet) (π₯ 670 / month Β· π¦ 2 Β· β±οΈ 19.09.2022):
```
pip install paddledet
```
vidgear (π₯27 Β· β 3.2K Β· π€) - A High-performance cross-platform Video Processing Python.. Apache-2
-- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 240 Β· π₯ 1.3K Β· π¦ 540 Β· π 280 - 3% open Β· β±οΈ 10.09.2023):
+- [GitHub](https://github.com/abhiTronix/vidgear) (π¨βπ» 14 Β· π 240 Β· π₯ 1.3K Β· π¦ 550 Β· π 280 - 2% open Β· β±οΈ 10.09.2023):
```
git clone https://github.com/abhiTronix/vidgear
```
-- [PyPi](https://pypi.org/project/vidgear) (π₯ 17K / month Β· π¦ 13 Β· β±οΈ 10.09.2023):
+- [PyPi](https://pypi.org/project/vidgear) (π₯ 16K / month Β· π¦ 13 Β· β±οΈ 10.09.2023):
```
pip install vidgear
```
CellProfiler (π₯27 Β· β 860) - An open-source application for biological image analysis. BSD-3
+CellProfiler (π₯27 Β· β 870) - An open-source application for biological image analysis. BSD-3
- [GitHub](https://github.com/CellProfiler/CellProfiler) (π¨βπ» 140 Β· π 370 Β· π₯ 6.9K Β· π¦ 20 Β· π 3.3K - 9% open Β· β±οΈ 01.05.2024):
```
git clone https://github.com/CellProfiler/CellProfiler
```
-- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 510 / month Β· π¦ 2 Β· β±οΈ 14.08.2023):
+- [PyPi](https://pypi.org/project/cellprofiler) (π₯ 520 / month Β· π¦ 2 Β· β±οΈ 14.08.2023):
```
pip install cellprofiler
```
@@ -2616,7 +2616,7 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/pytorchvideo
```
-- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 94K / month Β· π¦ 23 Β· β±οΈ 20.01.2022):
+- [PyPi](https://pypi.org/project/pytorchvideo) (π₯ 81K / month Β· π¦ 23 Β· β±οΈ 20.01.2022):
```
pip install pytorchvideo
```
@@ -2640,19 +2640,19 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/libffcv/ffcv
```
-- [PyPi](https://pypi.org/project/ffcv) (π₯ 1.6K / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
+- [PyPi](https://pypi.org/project/ffcv) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 28.01.2022):
```
pip install ffcv
```
kubric (π₯25 Β· β 2.2K) - A data generation pipeline for creating semi-realistic synthetic.. Apache-2
-- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 28 Β· π 210 Β· π¦ 3 Β· π 190 - 32% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/google-research/kubric) (π¨βπ» 28 Β· π 210 Β· π¦ 4 Β· π 190 - 32% open Β· β±οΈ 22.05.2024):
```
git clone https://github.com/google-research/kubric
```
-- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 3.3K / month Β· β±οΈ 27.12.2023):
+- [PyPi](https://pypi.org/project/kubric-nightly) (π₯ 2.1K / month Β· β±οΈ 27.12.2023):
```
pip install kubric-nightly
```
@@ -2664,49 +2664,37 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/libvips/pyvips
```
-- [PyPi](https://pypi.org/project/pyvips) (π₯ 44K / month Β· π¦ 73 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pyvips) (π₯ 45K / month Β· π¦ 73 Β· β±οΈ 28.04.2024):
```
pip install pyvips
```
-- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 84K Β· β±οΈ 28.04.2024):
+- [Conda](https://anaconda.org/conda-forge/pyvips) (π₯ 86K Β· β±οΈ 28.04.2024):
```
conda install -c conda-forge pyvips
```
tensorflow-graphics (π₯24 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-
-- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 61% open Β· β±οΈ 13.03.2024):
-
- ```
- git clone https://github.com/tensorflow/graphics
- ```
-- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 43K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
- ```
- pip install tensorflow-graphics
- ```
-MMF (π₯23 Β· β 5.4K) - A modular framework for vision & language multimodal research from.. BSD-3
+MMF (π₯24 Β· β 5.4K) - A modular framework for vision & language multimodal research from.. BSD-3
-- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 17 Β· π 690 - 21% open Β· β±οΈ 03.03.2024):
+- [GitHub](https://github.com/facebookresearch/mmf) (π¨βπ» 120 Β· π 920 Β· π¦ 17 Β· π 690 - 21% open Β· β±οΈ 25.05.2024):
```
git clone https://github.com/facebookresearch/mmf
```
-- [PyPi](https://pypi.org/project/mmf) (π₯ 350 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
+- [PyPi](https://pypi.org/project/mmf) (π₯ 260 / month Β· π¦ 1 Β· β±οΈ 12.06.2020):
```
pip install mmf
```
vissl (π₯22 Β· β 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
+tensorflow-graphics (π₯24 Β· β 2.7K) - TensorFlow Graphics: Differentiable Graphics Layers.. Apache-2
-- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 330 Β· π¦ 40 Β· π 190 - 43% open Β· β±οΈ 03.03.2024):
+- [GitHub](https://github.com/tensorflow/graphics) (π¨βπ» 39 Β· π 360 Β· π 240 - 61% open Β· β±οΈ 13.03.2024):
```
- git clone https://github.com/facebookresearch/vissl
+ git clone https://github.com/tensorflow/graphics
```
-- [PyPi](https://pypi.org/project/vissl) (π₯ 160 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
+- [PyPi](https://pypi.org/project/tensorflow-graphics) (π₯ 39K / month Β· π¦ 11 Β· β±οΈ 03.12.2021):
```
- pip install vissl
+ pip install tensorflow-graphics
```
DEβ«ΆTR (π₯21 Β· β 13K) - End-to-End Object Detection with Transformers. Apache-2
@@ -2724,11 +2712,23 @@ _Libraries for image & video processing, manipulation, and augmentation as well
```
git clone https://github.com/facebookresearch/SlowFast
```
-- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 33 / month Β· β±οΈ 15.01.2020):
+- [PyPi](https://pypi.org/project/pyslowfast) (π₯ 24 / month Β· β±οΈ 15.01.2020):
```
pip install pyslowfast
```
vissl (π₯21 Β· β 3.2K) - VISSL is FAIRs library of extensible, modular and scalable components.. MIT
+
+- [GitHub](https://github.com/facebookresearch/vissl) (π¨βπ» 38 Β· π 330 Β· π¦ 40 Β· π 190 - 43% open Β· β±οΈ 03.03.2024):
+
+ ```
+ git clone https://github.com/facebookresearch/vissl
+ ```
+- [PyPi](https://pypi.org/project/vissl) (π₯ 140 / month Β· π¦ 1 Β· β±οΈ 02.11.2021):
+ ```
+ pip install vissl
+ ```
+pycls (π₯21 Β· β 2.1K Β· π€) - Codebase for Image Classification Research, written in PyTorch. MIT
- [GitHub](https://github.com/facebookresearch/pycls) (π¨βπ» 19 Β· π 240 Β· π¦ 18 Β· π 83 - 32% open Β· β±οΈ 26.08.2023):
@@ -2741,9 +2741,9 @@ _Libraries for image & video processing, manipulation, and augmentation as well
pip install pycls
```
scenic (π₯18 Β· β 3K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
+scenic (π₯18 Β· β 3.1K) - Scenic: A Jax Library for Computer Vision Research and Beyond. Apache-2
-- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 81 Β· π 400 Β· π 260 - 56% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/google-research/scenic) (π¨βπ» 81 Β· π 410 Β· π 260 - 56% open Β· β±οΈ 22.05.2024):
```
git clone https://github.com/google-research/scenic
@@ -2754,15 +2754,15 @@ _Libraries for image & video processing, manipulation, and augmentation as well
- scikit-image (π₯42 Β· β 5.9K) - Image processing in Python. βUnlicensed
- imgaug (π₯37 Β· β 14K Β· π) - Image augmentation for machine learning experiments. MIT
- glfw (π₯37 Β· β 12K) - A multi-platform library for OpenGL, OpenGL ES, Vulkan, window and input. βοΈZlib
-- Face Recognition (π₯32 Β· β 52K Β· π) - The worlds simplest facial recognition api for Python.. MIT MIT βUnlicensed MIT
-- GluonCV (π₯30 Β· β 5.8K Β· π) - Gluon CV Toolkit. Apache-2 Apache-2
+- GluonCV (π₯29 Β· β 5.8K Β· π) - Gluon CV Toolkit. Apache-2 Apache-2
+- mtcnn (π₯28 Β· β 2.1K Β· π) - MTCNN face detection implementation for TensorFlow, as a PIP.. MIT MIT
- chainercv (π₯27 Β· β 1.5K Β· π) - ChainerCV: a Library for Deep Learning in Computer Vision. MIT
- Image Deduplicator (π₯25 Β· β 5K Β· π) - Finding duplicate images made easy!. Apache-2 MIT βοΈPIL
- segmentation_models (π₯24 Β· β 4.6K Β· π) - Segmentation models with pretrained backbones. Keras.. MIT Apache-2 networkx (π₯44 Β· β 14K) - Network Analysis in Python. BSD-3
-- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 720 Β· π 3.1K Β· π₯ 71 Β· π¦ 260K Β· π 3.3K - 9% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/networkx/networkx) (π¨βπ» 720 Β· π 3.2K Β· π₯ 71 Β· π¦ 260K Β· π 3.3K - 10% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/networkx/networkx
@@ -2804,23 +2804,23 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
PyTorch Geometric (π₯38 Β· β 20K) - Graph Neural Network Library for PyTorch. MIT
-- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 500 Β· π 3.5K Β· π 3.6K - 27% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/pyg-team/pytorch_geometric) (π¨βπ» 500 Β· π 3.5K Β· π 3.6K - 27% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/pyg-team/pytorch_geometric
```
-- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 290K / month Β· π¦ 250 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/torch-geometric) (π₯ 300K / month Β· π¦ 250 Β· β±οΈ 19.04.2024):
```
pip install torch-geometric
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 42K Β· β±οΈ 04.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch_geometric) (π₯ 43K Β· β±οΈ 04.05.2024):
```
conda install -c conda-forge pytorch_geometric
```
dgl (π₯38 Β· β 13K) - Python package built to ease deep learning on graph, on top of existing DL.. Apache-2
-- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 290 Β· π 3K Β· π¦ 240 Β· π 2.8K - 18% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/dmlc/dgl) (π¨βπ» 290 Β· π 3K Β· π¦ 240 Β· π 2.8K - 18% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/dmlc/dgl
@@ -2830,40 +2830,28 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
pip install dgl
```
AmpliGraph (π₯30 Β· β 2.1K) - Python library for Representation Learning on Knowledge.. Apache-2
+Spektral (π₯29 Β· β 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 21 Β· π 250 Β· π¦ 49 Β· π 220 - 15% open Β· β±οΈ 28.02.2024):
+- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 300 Β· π 280 - 24% open Β· β±οΈ 21.01.2024):
```
- git clone https://github.com/Accenture/AmpliGraph
+ git clone https://github.com/danielegrattarola/spektral
```
-- [PyPi](https://pypi.org/project/ampligraph) (π₯ 1.2K / month Β· π¦ 1 Β· β±οΈ 26.02.2024):
+- [PyPi](https://pypi.org/project/spektral) (π₯ 9.2K / month Β· π¦ 7 Β· β±οΈ 21.01.2024):
```
- pip install ampligraph
+ pip install spektral
```
pygraphistry (π₯30 Β· β 2.1K) - PyGraphistry is a Python library to quickly load, shape,.. BSD-3
+AmpliGraph (π₯28 Β· β 2.1K Β· π) - Python library for Representation Learning on Knowledge.. Apache-2
-- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 42 Β· π 200 Β· π¦ 110 Β· π 320 - 51% open Β· β±οΈ 30.04.2024):
+- [GitHub](https://github.com/Accenture/AmpliGraph) (π¨βπ» 21 Β· π 250 Β· π¦ 49 Β· π 220 - 15% open Β· β±οΈ 28.02.2024):
```
- git clone https://github.com/graphistry/pygraphistry
+ git clone https://github.com/Accenture/AmpliGraph
```
-- [PyPi](https://pypi.org/project/graphistry) (π₯ 4.1K / month Β· π¦ 6 Β· β±οΈ 30.04.2024):
+- [PyPi](https://pypi.org/project/ampligraph) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 26.02.2024):
```
- pip install graphistry
- ```
-Spektral (π₯29 Β· β 2.3K) - Graph Neural Networks with Keras and Tensorflow 2. MIT
-
-- [GitHub](https://github.com/danielegrattarola/spektral) (π¨βπ» 27 Β· π 340 Β· π¦ 290 Β· π 270 - 24% open Β· β±οΈ 21.01.2024):
-
- ```
- git clone https://github.com/danielegrattarola/spektral
- ```
-- [PyPi](https://pypi.org/project/spektral) (π₯ 9.9K / month Β· π¦ 7 Β· β±οΈ 21.01.2024):
- ```
- pip install spektral
+ pip install ampligraph
```
ogb (π₯28 Β· β 1.9K) - Benchmark datasets, data loaders, and evaluators for graph machine learning. MIT
@@ -2873,7 +2861,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/snap-stanford/ogb
```
-- [PyPi](https://pypi.org/project/ogb) (π₯ 36K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
+- [PyPi](https://pypi.org/project/ogb) (π₯ 35K / month Β· π¦ 22 Β· β±οΈ 02.11.2022):
```
pip install ogb
```
@@ -2882,14 +2870,26 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
conda install -c conda-forge ogb
```
PyKEEN (π₯26 Β· β 1.5K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
+pygraphistry (π₯27 Β· β 2.1K Β· π) - PyGraphistry is a Python library to quickly load,.. BSD-3
+
+- [GitHub](https://github.com/graphistry/pygraphistry) (π¨βπ» 42 Β· π 200 Β· π 320 - 51% open Β· β±οΈ 30.04.2024):
+
+ ```
+ git clone https://github.com/graphistry/pygraphistry
+ ```
+- [PyPi](https://pypi.org/project/graphistry) (π₯ 4.1K / month Β· π¦ 6 Β· β±οΈ 30.04.2024):
+ ```
+ pip install graphistry
+ ```
+PyKEEN (π₯26 Β· β 1.6K) - A Python library for learning and evaluating knowledge graph embeddings. MIT
- [GitHub](https://github.com/pykeen/pykeen) (π¨βπ» 38 Β· π 180 Β· π₯ 180 Β· π 560 - 20% open Β· β±οΈ 17.05.2024):
```
git clone https://github.com/pykeen/pykeen
```
-- [PyPi](https://pypi.org/project/pykeen) (π₯ 5.3K / month Β· π¦ 6 Β· β±οΈ 19.02.2024):
+- [PyPi](https://pypi.org/project/pykeen) (π₯ 6.1K / month Β· π¦ 6 Β· β±οΈ 19.02.2024):
```
pip install pykeen
```
@@ -2901,7 +2901,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/benedekrozemberczki/pytorch_geometric_temporal
```
-- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 1.8K / month Β· π¦ 3 Β· β±οΈ 04.09.2022):
+- [PyPi](https://pypi.org/project/torch-geometric-temporal) (π₯ 1.7K / month Β· π¦ 3 Β· β±οΈ 04.09.2022):
```
pip install torch-geometric-temporal
```
@@ -2913,7 +2913,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/PaddlePaddle/PGL
```
-- [PyPi](https://pypi.org/project/pgl) (π₯ 690 / month Β· π¦ 1 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/pgl) (π₯ 810 / month Β· π¦ 1 Β· β±οΈ 26.09.2023):
```
pip install pgl
```
@@ -2925,7 +2925,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/facebookresearch/PyTorch-BigGraph
```
-- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 600K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
+- [PyPi](https://pypi.org/project/torchbiggraph) (π₯ 590K / month Β· π¦ 2 Β· β±οΈ 14.10.2019):
```
pip install torchbiggraph
```
@@ -2964,12 +2964,12 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
deepsnap (π₯20 Β· β 530) - Python library assists deep learning on graphs. MIT
-- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 57 Β· π₯ 10 Β· π¦ 99 Β· π 50 - 50% open Β· β±οΈ 11.11.2023):
+- [GitHub](https://github.com/snap-stanford/deepsnap) (π¨βπ» 18 Β· π 57 Β· π₯ 10 Β· π¦ 100 Β· π 50 - 50% open Β· β±οΈ 11.11.2023):
```
git clone https://github.com/snap-stanford/deepsnap
```
-- [PyPi](https://pypi.org/project/deepsnap) (π₯ 330 / month Β· π¦ 2 Β· β±οΈ 05.09.2021):
+- [PyPi](https://pypi.org/project/deepsnap) (π₯ 380 / month Β· π¦ 2 Β· β±οΈ 05.09.2021):
```
pip install deepsnap
```
@@ -2981,7 +2981,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/gsi-upm/sematch
```
-- [PyPi](https://pypi.org/project/sematch) (π₯ 330 / month Β· β±οΈ 17.04.2017):
+- [PyPi](https://pypi.org/project/sematch) (π₯ 270 / month Β· β±οΈ 17.04.2017):
```
pip install sematch
```
@@ -2993,7 +2993,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
```
git clone https://github.com/vaticle/kglib
```
-- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 110 / month Β· β±οΈ 19.08.2020):
+- [PyPi](https://pypi.org/project/grakn-kglib) (π₯ 100 / month Β· β±οΈ 19.08.2020):
```
pip install grakn-kglib
```
@@ -3029,7 +3029,7 @@ _Libraries for graph processing, clustering, embedding, and machine learning tas
- DIG (π₯21 Β· β 1.8K) - A library for graph deep learning research. βοΈGPL-3.0
- graph4nlp (π₯21 Β· β 1.7K Β· π) - Graph4nlp is the library for the easy use of Graph.. Apache-2 MIT
-- DeepWalk (π₯20 Β· β 2.6K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
+- DeepWalk (π₯20 Β· β 2.7K Β· π) - DeepWalk - Deep Learning for Graphs. βοΈGPL-3.0
- DeepGraph (π₯20 Β· β 280) - Analyze Data with Pandas-based Networks. Documentation:. BSD-3 MIT
- GraphEmbedding (π₯17 Β· β 3.6K Β· π) - Implementation and experiments of graph embedding.. MIT speechbrain (π₯38 Β· β 8K) - A PyTorch-based Speech Toolkit. Apache-2
-- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 230 Β· π 1.3K Β· π¦ 1.9K Β· π 1.1K - 11% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/speechbrain/speechbrain) (π¨βπ» 230 Β· π 1.3K Β· π¦ 1.9K Β· π 1.1K - 11% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/speechbrain/speechbrain
```
-- [PyPi](https://pypi.org/project/speechbrain) (π₯ 2.5M / month Β· π¦ 31 Β· β±οΈ 26.02.2024):
+- [PyPi](https://pypi.org/project/speechbrain) (π₯ 2.4M / month Β· π¦ 31 Β· β±οΈ 26.02.2024):
```
pip install speechbrain
```
espnet (π₯38 Β· β 8K) - End-to-End Speech Processing Toolkit. Apache-2
+espnet (π₯37 Β· β 8K Β· π) - End-to-End Speech Processing Toolkit. Apache-2
-- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 420 Β· π 2.1K Β· π₯ 79 Β· π¦ 330 Β· π 2.4K - 13% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/espnet/espnet) (π¨βπ» 430 Β· π 2.1K Β· π₯ 79 Β· π¦ 330 Β· π 2.4K - 13% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/espnet/espnet
```
-- [PyPi](https://pypi.org/project/espnet) (π₯ 65K / month Β· π¦ 12 Β· β±οΈ 06.02.2024):
+- [PyPi](https://pypi.org/project/espnet) (π₯ 43K / month Β· π¦ 12 Β· β±οΈ 06.02.2024):
```
pip install espnet
```
@@ -3094,7 +3094,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/Uberi/speech_recognition
```
-- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 810K / month Β· π¦ 490 Β· β±οΈ 05.05.2024):
+- [PyPi](https://pypi.org/project/SpeechRecognition) (π₯ 860K / month Β· π¦ 490 Β· β±οΈ 05.05.2024):
```
pip install SpeechRecognition
```
@@ -3110,23 +3110,23 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/pytorch/audio
```
-- [PyPi](https://pypi.org/project/torchaudio) (π₯ 5.3M / month Β· π¦ 1.1K Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/torchaudio) (π₯ 5.1M / month Β· π¦ 1.1K Β· β±οΈ 24.04.2024):
```
pip install torchaudio
```
librosa (π₯34 Β· β 6.7K) - Python library for audio and music analysis. ISC
+librosa (π₯34 Β· β 6.8K) - Python library for audio and music analysis. ISC
-- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 920 Β· π 1.2K - 4% open Β· β±οΈ 14.05.2024):
+- [GitHub](https://github.com/librosa/librosa) (π¨βπ» 120 Β· π 930 Β· π 1.2K - 4% open Β· β±οΈ 14.05.2024):
```
git clone https://github.com/librosa/librosa
```
-- [PyPi](https://pypi.org/project/librosa) (π₯ 2.8M / month Β· π¦ 1.2K Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/librosa) (π₯ 2.7M / month Β· π¦ 1.2K Β· β±οΈ 14.05.2024):
```
pip install librosa
```
-- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 740K Β· β±οΈ 15.05.2024):
+- [Conda](https://anaconda.org/conda-forge/librosa) (π₯ 750K Β· β±οΈ 15.05.2024):
```
conda install -c conda-forge librosa
```
@@ -3145,7 +3145,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
spleeter (π₯31 Β· β 25K Β· π€) - Deezer source separation library including pretrained models. MIT
-- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.7K Β· π₯ 3.1M Β· π¦ 720 Β· π 790 - 29% open Β· β±οΈ 13.07.2023):
+- [GitHub](https://github.com/deezer/spleeter) (π¨βπ» 19 Β· π 2.7K Β· π₯ 3.2M Β· π¦ 720 Β· π 790 - 29% open Β· β±οΈ 13.07.2023):
```
git clone https://github.com/deezer/spleeter
@@ -3154,7 +3154,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
pip install spleeter
```
-- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 82K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/spleeter) (π₯ 83K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge spleeter
```
@@ -3178,11 +3178,11 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/beetbox/audioread
```
-- [PyPi](https://pypi.org/project/audioread) (π₯ 2.1M / month Β· π¦ 120 Β· β±οΈ 27.09.2023):
+- [PyPi](https://pypi.org/project/audioread) (π₯ 2M / month Β· π¦ 120 Β· β±οΈ 27.09.2023):
```
pip install audioread
```
-- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 770K Β· β±οΈ 30.09.2023):
+- [Conda](https://anaconda.org/conda-forge/audioread) (π₯ 780K Β· β±οΈ 30.09.2023):
```
conda install -c conda-forge audioread
```
@@ -3206,35 +3206,23 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/Picovoice/Porcupine
```
-- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 8K / month Β· π¦ 15 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/pvporcupine) (π₯ 7.9K / month Β· π¦ 15 Β· β±οΈ 30.01.2024):
```
pip install pvporcupine
```
Madmom (π₯26 Β· β 1.2K Β· π€) - Python audio and music signal processing library. BSD-3
+Madmom (π₯26 Β· β 1.3K Β· π€) - Python audio and music signal processing library. BSD-3
- [GitHub](https://github.com/CPJKU/madmom) (π¨βπ» 20 Β· π 200 Β· π¦ 420 Β· π 280 - 23% open Β· β±οΈ 10.09.2023):
```
git clone https://github.com/CPJKU/madmom
```
-- [PyPi](https://pypi.org/project/madmom) (π₯ 1.7K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
+- [PyPi](https://pypi.org/project/madmom) (π₯ 1.8K / month Β· π¦ 27 Β· β±οΈ 14.11.2018):
```
pip install madmom
```
tinytag (π₯26 Β· β 670) - Python library for reading audio file metadata, duration of MP3, OGG,.. MIT
-
-- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 100 Β· π 120 - 12% open Β· β±οΈ 21.05.2024):
-
- ```
- git clone https://github.com/devsnd/tinytag
- ```
-- [PyPi](https://pypi.org/project/tinytag) (π₯ 30K / month Β· π¦ 100 Β· β±οΈ 26.10.2023):
- ```
- pip install tinytag
- ```
-DDSP (π₯25 Β· β 2.8K Β· π€) - DDSP: Differentiable Digital Signal Processing. Apache-2
- [GitHub](https://github.com/magenta/ddsp) (π¨βπ» 32 Β· π 320 Β· π¦ 54 Β· π 170 - 27% open Β· β±οΈ 30.06.2023):
@@ -3242,15 +3230,27 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/magenta/ddsp
```
-- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.7K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
+- [PyPi](https://pypi.org/project/ddsp) (π₯ 1.6K / month Β· π¦ 1 Β· β±οΈ 25.05.2022):
```
pip install ddsp
```
-- [Conda](https://anaconda.org/conda-forge/ddsp) (π₯ 15K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ddsp) (π₯ 16K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ddsp
```
tinytag (π₯25 Β· β 670) - Python library for reading audio file metadata, duration of MP3, OGG,.. MIT
+
+- [GitHub](https://github.com/devsnd/tinytag) (π¨βπ» 26 Β· π 100 Β· π 120 - 12% open Β· β±οΈ 28.05.2024):
+
+ ```
+ git clone https://github.com/devsnd/tinytag
+ ```
+- [PyPi](https://pypi.org/project/tinytag) (π₯ 29K / month Β· π¦ 100 Β· β±οΈ 26.10.2023):
+ ```
+ pip install tinytag
+ ```
+python-soundfile (π₯25 Β· β 670) - SoundFile is an audio library based on libsndfile, CFFI, and.. BSD-3
- [GitHub](https://github.com/bastibe/python-soundfile) (π¨βπ» 33 Β· π 100 Β· π₯ 19K Β· π 250 - 46% open Β· β±οΈ 05.01.2024):
@@ -3274,14 +3274,14 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
```
git clone https://github.com/KinWaiCheuk/nnAudio
```
-- [PyPi](https://pypi.org/project/nnAudio) (π₯ 9.9K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
+- [PyPi](https://pypi.org/project/nnAudio) (π₯ 10K / month Β· π¦ 4 Β· β±οΈ 13.02.2024):
```
pip install nnAudio
```
textlesslib (π₯10 Β· β 500 Β· π€) - Library for Textless Spoken Language Processing. MIT
-- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 50 Β· π 25 - 56% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/facebookresearch/textlesslib) (π¨βπ» 8 Β· π 51 Β· π 25 - 56% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/facebookresearch/textlesslib
@@ -3290,7 +3290,7 @@ _Libraries for audio analysis, manipulation, transformation, and extraction, as
Show 11 hidden projects...
- Pydub (π₯35 Β· β 8.4K Β· π) - Manipulate audio with a simple and easy high level interface. MIT
-- DeepSpeech (π₯33 Β· β 24K Β· π) - DeepSpeech is an open source embedded (offline, on-.. MPL-2.0 MPL-2.0 βοΈAGPL-3.0
- aubio (π₯27 Β· β 3.2K) - a library for audio and music analysis. βοΈGPL-3.0
- TTS (π₯26 Β· β 8.9K Β· π) - Deep learning for Text to Speech (Discussion forum:.. MPL-2.0
@@ -3311,20 +3311,20 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
pydeck (π₯44 Β· β 12K) - WebGL2 powered visualization framework. MIT
-- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 260 Β· π 2K Β· π¦ 7.6K Β· π 3K - 9% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/visgl/deck.gl) (π¨βπ» 260 Β· π 2K Β· π¦ 7.6K Β· π 3K - 10% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/visgl/deck.gl
```
-- [PyPi](https://pypi.org/project/pydeck) (π₯ 3.7M / month Β· π¦ 87 Β· β±οΈ 10.05.2024):
+- [PyPi](https://pypi.org/project/pydeck) (π₯ 3.7M / month Β· π¦ 88 Β· β±οΈ 10.05.2024):
```
pip install pydeck
```
-- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 520K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pydeck) (π₯ 530K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pydeck
```
-- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 460K / month Β· π¦ 290 Β· β±οΈ 06.05.2024):
+- [npm](https://www.npmjs.com/package/deck.gl) (π₯ 450K / month Β· π¦ 290 Β· β±οΈ 29.05.2024):
```
npm install deck.gl
```
@@ -3336,7 +3336,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/python-visualization/folium
```
-- [PyPi](https://pypi.org/project/folium) (π₯ 1.2M / month Β· π¦ 640 Β· β±οΈ 29.02.2024):
+- [PyPi](https://pypi.org/project/folium) (π₯ 1.2M / month Β· π¦ 650 Β· β±οΈ 29.02.2024):
```
pip install folium
```
@@ -3345,14 +3345,14 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
conda install -c conda-forge folium
```
GeoPandas (π₯40 Β· β 4.2K) - Python tools for geographic data. BSD-3
+GeoPandas (π₯40 Β· β 4.3K) - Python tools for geographic data. BSD-3
-- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 220 Β· π 900 Β· π₯ 2.5K Β· π¦ 35K Β· π 1.7K - 26% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/geopandas/geopandas) (π¨βπ» 220 Β· π 900 Β· π₯ 2.5K Β· π¦ 36K Β· π 1.7K - 26% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/geopandas/geopandas
```
-- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.2M / month Β· π¦ 2.4K Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/geopandas) (π₯ 6.1M / month Β· π¦ 2.5K Β· β±οΈ 28.04.2024):
```
pip install geopandas
```
@@ -3363,12 +3363,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
Shapely (π₯39 Β· β 3.7K) - Manipulation and analysis of geometric objects. BSD-3
-- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 560 Β· π₯ 3.3K Β· π¦ 69K Β· π 1.2K - 22% open Β· β±οΈ 14.05.2024):
+- [GitHub](https://github.com/shapely/shapely) (π¨βπ» 150 Β· π 560 Β· π₯ 3.3K Β· π¦ 70K Β· π 1.2K - 22% open Β· β±οΈ 14.05.2024):
```
git clone https://github.com/shapely/shapely
```
-- [PyPi](https://pypi.org/project/shapely) (π₯ 25M / month Β· π¦ 2.5K Β· β±οΈ 16.04.2024):
+- [PyPi](https://pypi.org/project/shapely) (π₯ 26M / month Β· π¦ 2.5K Β· β±οΈ 16.04.2024):
```
pip install shapely
```
@@ -3384,11 +3384,11 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/Toblerity/Fiona
```
-- [PyPi](https://pypi.org/project/fiona) (π₯ 6.2M / month Β· π¦ 190 Β· β±οΈ 16.04.2024):
+- [PyPi](https://pypi.org/project/fiona) (π₯ 6.1M / month Β· π¦ 190 Β· β±οΈ 16.04.2024):
```
pip install fiona
```
-- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 5.5M Β· β±οΈ 21.05.2024):
+- [Conda](https://anaconda.org/conda-forge/fiona) (π₯ 5.6M Β· β±οΈ 21.05.2024):
```
conda install -c conda-forge fiona
```
@@ -3416,7 +3416,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/Esri/arcgis-python-api
```
-- [PyPi](https://pypi.org/project/arcgis) (π₯ 67K / month Β· π¦ 36 Β· β±οΈ 17.05.2024):
+- [PyPi](https://pypi.org/project/arcgis) (π₯ 66K / month Β· π¦ 36 Β· β±οΈ 28.05.2024):
```
pip install arcgis
```
@@ -3427,16 +3427,16 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
ipyleaflet (π₯34 Β· β 1.5K) - A Jupyter - Leaflet.js bridge. MIT
-- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 88 Β· π 360 Β· π¦ 9K Β· π 630 - 43% open Β· β±οΈ 14.05.2024):
+- [GitHub](https://github.com/jupyter-widgets/ipyleaflet) (π¨βπ» 88 Β· π 360 Β· π¦ 9.1K Β· π 630 - 43% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/jupyter-widgets/ipyleaflet
```
-- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 150K / month Β· π¦ 250 Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/ipyleaflet) (π₯ 140K / month Β· π¦ 250 Β· β±οΈ 14.05.2024):
```
pip install ipyleaflet
```
-- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 1.1M Β· β±οΈ 14.05.2024):
+- [Conda](https://anaconda.org/conda-forge/ipyleaflet) (π₯ 1.2M Β· β±οΈ 14.05.2024):
```
conda install -c conda-forge ipyleaflet
```
@@ -3452,11 +3452,11 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/pyproj4/pyproj
```
-- [PyPi](https://pypi.org/project/pyproj) (π₯ 8.7M / month Β· π¦ 1.5K Β· β±οΈ 21.09.2023):
+- [PyPi](https://pypi.org/project/pyproj) (π₯ 8.6M / month Β· π¦ 1.5K Β· β±οΈ 21.09.2023):
```
pip install pyproj
```
-- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 7.6M Β· β±οΈ 01.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pyproj) (π₯ 7.7M Β· β±οΈ 01.05.2024):
```
conda install -c conda-forge pyproj
```
@@ -3484,7 +3484,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/pysal/pysal
```
-- [PyPi](https://pypi.org/project/pysal) (π₯ 26K / month Β· π¦ 39 Β· β±οΈ 31.01.2024):
+- [PyPi](https://pypi.org/project/pysal) (π₯ 25K / month Β· π¦ 39 Β· β±οΈ 31.01.2024):
```
pip install pysal
```
@@ -3500,18 +3500,18 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
git clone https://github.com/jazzband/geojson
```
-- [PyPi](https://pypi.org/project/geojson) (π₯ 1.7M / month Β· π¦ 640 Β· β±οΈ 05.11.2023):
+- [PyPi](https://pypi.org/project/geojson) (π₯ 1.7M / month Β· π¦ 650 Β· β±οΈ 05.11.2023):
```
pip install geojson
```
-- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 800K Β· β±οΈ 06.11.2023):
+- [Conda](https://anaconda.org/conda-forge/geojson) (π₯ 810K Β· β±οΈ 06.11.2023):
```
conda install -c conda-forge geojson
```
GeoViews (π₯29 Β· β 570) - Simple, concise geographical visualization in Python. BSD-3
-- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 32 Β· π 75 Β· π¦ 990 Β· π 340 - 31% open Β· β±οΈ 01.05.2024):
+- [GitHub](https://github.com/holoviz/geoviews) (π¨βπ» 32 Β· π 75 Β· π¦ 1K Β· π 340 - 31% open Β· β±οΈ 01.05.2024):
```
git clone https://github.com/holoviz/geoviews
@@ -3527,12 +3527,12 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
EarthPy (π₯27 Β· β 480 Β· π€) - A package built to support working with spatial data using open.. BSD-3
-- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 150 Β· π¦ 320 Β· π 230 - 11% open Β· β±οΈ 23.08.2023):
+- [GitHub](https://github.com/earthlab/earthpy) (π¨βπ» 44 Β· π 150 Β· π¦ 330 Β· π 230 - 11% open Β· β±οΈ 23.08.2023):
```
git clone https://github.com/earthlab/earthpy
```
-- [PyPi](https://pypi.org/project/earthpy) (π₯ 7.7K / month Β· π¦ 17 Β· β±οΈ 01.10.2021):
+- [PyPi](https://pypi.org/project/earthpy) (π₯ 7.6K / month Β· π¦ 17 Β· β±οΈ 01.10.2021):
```
pip install earthpy
```
@@ -3552,7 +3552,7 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
```
pip install pymap3d
```
-- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 71K Β· β±οΈ 11.02.2024):
+- [Conda](https://anaconda.org/conda-forge/pymap3d) (π₯ 72K Β· β±οΈ 11.02.2024):
```
conda install -c conda-forge pymap3d
```
@@ -3561,8 +3561,8 @@ _Libraries to load, process, analyze, and write geographic data as well as libra
- Geocoder (π₯33 Β· β 1.6K Β· π) - Python Geocoder. MIT
- Satpy (π₯31 Β· β 1K) - Python package for earth-observing satellite data processing. βοΈGPL-3.0
-- Sentinelsat (π₯25 Β· β 960) - Search and download Copernicus Sentinel satellite images. βοΈGPL-3.0
-- Mapbox GL (π₯24 Β· β 650 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT βοΈGPL-3.0
+- Mapbox GL (π₯24 Β· β 660 Β· π) - Use Mapbox GL JS to visualize data in a Python Jupyter notebook. MIT βοΈAGPL-3.0
- gmaps (π₯23 Β· β 760 Β· π) - Google maps for Jupyter notebooks. BSD-3 MIT
@@ -3593,12 +3593,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
Qlib (π₯31 Β· β 14K) - Qlib is an AI-oriented quantitative investment platform that aims to.. MIT
-- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 130 Β· π 2.5K Β· π₯ 580 Β· π¦ 21 Β· π 900 - 24% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/microsoft/qlib) (π¨βπ» 130 Β· π 2.5K Β· π₯ 580 Β· π¦ 21 Β· π 910 - 24% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/microsoft/qlib
```
-- [PyPi](https://pypi.org/project/pyqlib) (π₯ 2.6K / month Β· π¦ 1 Β· β±οΈ 07.05.2024):
+- [PyPi](https://pypi.org/project/pyqlib) (π₯ 3.5K / month Β· π¦ 1 Β· β±οΈ 24.05.2024):
```
pip install pyqlib
```
@@ -3630,19 +3630,19 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
pip install ffn
```
-- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 7.4K Β· β±οΈ 31.12.2023):
+- [Conda](https://anaconda.org/conda-forge/ffn) (π₯ 7.5K Β· β±οΈ 31.12.2023):
```
conda install -c conda-forge ffn
```
Alpha Vantage (π₯28 Β· β 4.2K) - A python wrapper for Alpha Vantage API for financial data. MIT
-- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 43 Β· π 720 Β· π¦ 560 Β· π 290 - 2% open Β· β±οΈ 19.03.2024):
+- [GitHub](https://github.com/RomelTorres/alpha_vantage) (π¨βπ» 43 Β· π 720 Β· π¦ 570 Β· π 290 - 2% open Β· β±οΈ 19.03.2024):
```
git clone https://github.com/RomelTorres/alpha_vantage
```
-- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 31K / month Β· π¦ 33 Β· β±οΈ 21.12.2020):
+- [PyPi](https://pypi.org/project/alpha_vantage) (π₯ 32K / month Β· π¦ 33 Β· β±οΈ 21.12.2020):
```
pip install alpha_vantage
```
@@ -3651,18 +3651,34 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
conda install -c conda-forge alpha_vantage
```
bt (π₯27 Β· β 2K) - bt - flexible backtesting for Python. MIT
+TensorTrade (π₯27 Β· β 4.4K Β· π) - An open source reinforcement learning framework for.. Apache-2
+
+- [GitHub](https://github.com/tensortrade-org/tensortrade) (π¨βπ» 61 Β· π 980 Β· π¦ 56 Β· π 250 - 20% open Β· β±οΈ 27.05.2024):
+
+ ```
+ git clone https://github.com/tensortrade-org/tensortrade
+ ```
+- [PyPi](https://pypi.org/project/tensortrade) (π₯ 830 / month Β· π¦ 1 Β· β±οΈ 10.05.2021):
+ ```
+ pip install tensortrade
+ ```
+- [Conda](https://anaconda.org/conda-forge/tensortrade) (π₯ 3.5K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c conda-forge tensortrade
+ ```
+bt (π₯27 Β· β 2.1K) - bt - flexible backtesting for Python. MIT
- [GitHub](https://github.com/pmorissette/bt) (π¨βπ» 32 Β· π 400 Β· π¦ 1.6K Β· π 340 - 23% open Β· β±οΈ 04.04.2024):
```
git clone https://github.com/pmorissette/bt
```
-- [PyPi](https://pypi.org/project/bt) (π₯ 7.3K / month Β· π¦ 10 Β· β±οΈ 20.11.2023):
+- [PyPi](https://pypi.org/project/bt) (π₯ 7.2K / month Β· π¦ 10 Β· β±οΈ 20.11.2023):
```
pip install bt
```
-- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 24K Β· β±οΈ 20.11.2023):
+- [Conda](https://anaconda.org/conda-forge/bt) (π₯ 25K Β· β±οΈ 20.11.2023):
```
conda install -c conda-forge bt
```
@@ -3674,7 +3690,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/erdewit/ib_insync
```
-- [PyPi](https://pypi.org/project/ib_insync) (π₯ 31K / month Β· π¦ 40 Β· β±οΈ 21.11.2022):
+- [PyPi](https://pypi.org/project/ib_insync) (π₯ 32K / month Β· π¦ 40 Β· β±οΈ 21.11.2022):
```
pip install ib_insync
```
@@ -3690,7 +3706,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/jealous/stockstats
```
-- [PyPi](https://pypi.org/project/stockstats) (π₯ 11K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
+- [PyPi](https://pypi.org/project/stockstats) (π₯ 10K / month Β· π¦ 11 Β· β±οΈ 30.07.2023):
```
pip install stockstats
```
@@ -3702,7 +3718,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/cuemacro/finmarketpy
```
-- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 300 / month Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/finmarketpy) (π₯ 320 / month Β· β±οΈ 19.05.2024):
```
pip install finmarketpy
```
@@ -3714,7 +3730,7 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/fmilthaler/FinQuant
```
-- [PyPi](https://pypi.org/project/FinQuant) (π₯ 540 / month Β· π¦ 1 Β· β±οΈ 04.09.2023):
+- [PyPi](https://pypi.org/project/FinQuant) (π₯ 600 / month Β· π¦ 1 Β· β±οΈ 04.09.2023):
```
pip install FinQuant
```
@@ -3726,12 +3742,12 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
```
git clone https://github.com/google/tf-quant-finance
```
-- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 580 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
+- [PyPi](https://pypi.org/project/tf-quant-finance) (π₯ 570 / month Β· π¦ 2 Β· β±οΈ 19.08.2022):
```
pip install tf-quant-finance
```
Show 14 hidden projects...
+Show 13 hidden projects...
- zipline (π₯32 Β· β 17K Β· π) - Zipline, a Pythonic Algorithmic Trading Library. Apache-2
- pyfolio (π₯31 Β· β 5.5K Β· π) - Portfolio and risk analytics in Python. Apache-2
@@ -3739,7 +3755,6 @@ _Libraries for algorithmic stock/crypto trading, risk analytics, backtesting, te
- backtrader (π₯29 Β· β 13K Β· π) - Python Backtesting library for trading strategies. βοΈGPL-3.0
- empyrical (π₯27 Β· β 1.2K Β· π) - Common financial risk and performance metrics. Used by.. Apache-2
- Alphalens (π₯26 Β· β 3.1K Β· π) - Performance analysis of predictive (alpha) stock factors. Apache-2
-- TensorTrade (π₯25 Β· β 4.4K Β· π) - An open source reinforcement learning framework for.. Apache-2
- Enigma Catalyst (π₯25 Β· β 2.5K Β· π) - An Algorithmic Trading Library for Crypto-Assets in.. Apache-2
- FinTA (π₯24 Β· β 2.1K Β· π) - Common financial technical indicators implemented in Pandas. βοΈLGPL-3.0
- Backtesting.py (π₯23 Β· β 4.9K Β· π) - Backtest trading strategies in Python. βοΈAGPL-3.0
@@ -3758,16 +3773,16 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
sktime (π₯39 Β· β 7.5K) - A unified framework for machine learning with time series. BSD-3
-- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 360 Β· π 1.3K Β· π₯ 91 Β· π¦ 2.7K Β· π 2.3K - 35% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/sktime/sktime) (π¨βπ» 360 Β· π 1.3K Β· π₯ 91 Β· π¦ 2.7K Β· π 2.3K - 35% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/alan-turing-institute/sktime
```
-- [PyPi](https://pypi.org/project/sktime) (π₯ 890K / month Β· π¦ 110 Β· β±οΈ 01.05.2024):
+- [PyPi](https://pypi.org/project/sktime) (π₯ 830K / month Β· π¦ 110 Β· β±οΈ 01.05.2024):
```
pip install sktime
```
-- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 960K Β· β±οΈ 04.05.2024):
+- [Conda](https://anaconda.org/conda-forge/sktime-all-extras) (π₯ 960K Β· β±οΈ 24.05.2024):
```
conda install -c conda-forge sktime-all-extras
```
@@ -3779,7 +3794,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/facebook/prophet
```
-- [PyPi](https://pypi.org/project/fbprophet) (π₯ 810K / month Β· π¦ 89 Β· β±οΈ 05.09.2020):
+- [PyPi](https://pypi.org/project/fbprophet) (π₯ 820K / month Β· π¦ 89 Β· β±οΈ 05.09.2020):
```
pip install fbprophet
```
@@ -3790,32 +3805,32 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
StatsForecast (π₯34 Β· β 3.6K) - Lightning fast forecasting with statistical and econometric.. Apache-2
-- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 39 Β· π 250 Β· π¦ 890 Β· π 310 - 30% open Β· β±οΈ 02.05.2024):
+- [GitHub](https://github.com/Nixtla/statsforecast) (π¨βπ» 41 Β· π 250 Β· π¦ 900 Β· π 320 - 30% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/Nixtla/statsforecast
```
-- [PyPi](https://pypi.org/project/statsforecast) (π₯ 580K / month Β· π¦ 55 Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/statsforecast) (π₯ 560K / month Β· π¦ 55 Β· β±οΈ 24.05.2024):
```
pip install statsforecast
```
-- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 69K Β· β±οΈ 08.04.2024):
+- [Conda](https://anaconda.org/conda-forge/statsforecast) (π₯ 70K Β· β±οΈ 24.05.2024):
```
conda install -c conda-forge statsforecast
```
Darts (π₯33 Β· β 7.4K) - A python library for user-friendly forecasting and anomaly detection.. Apache-2
-- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 800 Β· π¦ 620 Β· π 1.4K - 18% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/unit8co/darts) (π¨βπ» 120 Β· π 800 Β· π¦ 620 Β· π 1.4K - 18% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/unit8co/darts
```
-- [PyPi](https://pypi.org/project/u8darts) (π₯ 21K / month Β· π¦ 6 Β· β±οΈ 17.04.2024):
+- [PyPi](https://pypi.org/project/u8darts) (π₯ 22K / month Β· π¦ 6 Β· β±οΈ 17.04.2024):
```
pip install u8darts
```
-- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 44K Β· β±οΈ 18.04.2024):
+- [Conda](https://anaconda.org/conda-forge/u8darts-all) (π₯ 45K Β· β±οΈ 18.04.2024):
```
conda install -c conda-forge u8darts-all
```
@@ -3824,41 +3839,41 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
docker pull unit8/darts
```
pmdarima (π₯32 Β· β 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT
+tsfresh (π₯32 Β· β 8.2K) - Automatic extraction of relevant features from time series:. MIT
-- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 230 Β· π¦ 8.2K Β· π 330 - 17% open Β· β±οΈ 23.02.2024):
+- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 94 Β· π 1.2K Β· π¦ 21 Β· π 540 - 12% open Β· β±οΈ 26.05.2024):
```
- git clone https://github.com/alkaline-ml/pmdarima
+ git clone https://github.com/blue-yonder/tsfresh
```
-- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.5M / month Β· π¦ 140 Β· β±οΈ 23.10.2023):
+- [PyPi](https://pypi.org/project/tsfresh) (π₯ 240K / month Β· π¦ 75 Β· β±οΈ 28.01.2024):
```
- pip install pmdarima
+ pip install tsfresh
```
-- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1.1M Β· β±οΈ 19.04.2024):
+- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.4M Β· β±οΈ 28.01.2024):
```
- conda install -c conda-forge pmdarima
+ conda install -c conda-forge tsfresh
```
tsfresh (π₯31 Β· β 8.1K) - Automatic extraction of relevant features from time series:. MIT
+pmdarima (π₯32 Β· β 1.5K) - A statistical library designed to fill the void in Pythons time series.. MIT
-- [GitHub](https://github.com/blue-yonder/tsfresh) (π¨βπ» 92 Β· π 1.2K Β· π¦ 21 Β· π 540 - 12% open Β· β±οΈ 11.03.2024):
+- [GitHub](https://github.com/alkaline-ml/pmdarima) (π¨βπ» 23 Β· π 230 Β· π¦ 8.2K Β· π 330 - 17% open Β· β±οΈ 23.02.2024):
```
- git clone https://github.com/blue-yonder/tsfresh
+ git clone https://github.com/alkaline-ml/pmdarima
```
-- [PyPi](https://pypi.org/project/tsfresh) (π₯ 240K / month Β· π¦ 75 Β· β±οΈ 28.01.2024):
+- [PyPi](https://pypi.org/project/pmdarima) (π₯ 2.4M / month Β· π¦ 140 Β· β±οΈ 23.10.2023):
```
- pip install tsfresh
+ pip install pmdarima
```
-- [Conda](https://anaconda.org/conda-forge/tsfresh) (π₯ 1.4M Β· β±οΈ 28.01.2024):
+- [Conda](https://anaconda.org/conda-forge/pmdarima) (π₯ 1.1M Β· β±οΈ 19.04.2024):
```
- conda install -c conda-forge tsfresh
+ conda install -c conda-forge pmdarima
```
STUMPY (π₯31 Β· β 3K) - STUMPY is a powerful and scalable Python library for modern time series.. BSD-3
-- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 37 Β· π 280 Β· π¦ 750 Β· π 480 - 11% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/TDAmeritrade/stumpy) (π¨βπ» 37 Β· π 280 Β· π¦ 760 Β· π 480 - 11% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/TDAmeritrade/stumpy
@@ -3879,7 +3894,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/tslearn-team/tslearn
```
-- [PyPi](https://pypi.org/project/tslearn) (π₯ 350K / month Β· π¦ 71 Β· β±οΈ 12.12.2023):
+- [PyPi](https://pypi.org/project/tslearn) (π₯ 360K / month Β· π¦ 71 Β· β±οΈ 12.12.2023):
```
pip install tslearn
```
@@ -3888,50 +3903,50 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge tslearn
```
NeuralForecast (π₯31 Β· β 2.5K) - Scalable and user friendly neural forecasting algorithms. Apache-2
-
-- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 44 Β· π 290 Β· π¦ 150 Β· π 470 - 21% open Β· β±οΈ 23.05.2024):
-
- ```
- git clone https://github.com/Nixtla/neuralforecast
- ```
-- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 39K / month Β· π¦ 16 Β· β±οΈ 07.05.2024):
- ```
- pip install neuralforecast
- ```
-- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 15K Β· β±οΈ 08.05.2024):
- ```
- conda install -c conda-forge neuralforecast
- ```
-GluonTS (π₯30 Β· β 4.4K) - Probabilistic time series modeling in Python. Apache-2
-- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 730 Β· π 940 - 33% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/awslabs/gluonts) (π¨βπ» 110 Β· π 740 Β· π 940 - 33% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/awslabs/gluon-ts
```
-- [PyPi](https://pypi.org/project/gluonts) (π₯ 270K / month Β· π¦ 27 Β· β±οΈ 02.02.2024):
+- [PyPi](https://pypi.org/project/gluonts) (π₯ 240K / month Β· π¦ 27 Β· β±οΈ 27.05.2024):
```
pip install gluonts
```
-- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 760 Β· β±οΈ 22.12.2023):
+- [Conda](https://anaconda.org/anaconda/gluonts) (π₯ 770 Β· β±οΈ 22.12.2023):
```
conda install -c anaconda gluonts
```
NeuralProphet (π₯30 Β· β 3.7K Β· π) - NeuralProphet: A simple forecasting package. MIT
+NeuralProphet (π₯30 Β· β 3.7K) - NeuralProphet: A simple forecasting package. MIT
- [GitHub](https://github.com/ourownstory/neural_prophet) (π¨βπ» 53 Β· π 460 Β· π¦ 440 Β· π 520 - 8% open Β· β±οΈ 15.03.2024):
```
git clone https://github.com/ourownstory/neural_prophet
```
-- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 160K / month Β· π¦ 5 Β· β±οΈ 23.02.2024):
+- [PyPi](https://pypi.org/project/neuralprophet) (π₯ 170K / month Β· π¦ 5 Β· β±οΈ 23.02.2024):
```
pip install neuralprophet
```
NeuralForecast (π₯30 Β· β 2.6K) - Scalable and user friendly neural forecasting algorithms. Apache-2
+
+- [GitHub](https://github.com/Nixtla/neuralforecast) (π¨βπ» 45 Β· π 300 Β· π¦ 150 Β· π 470 - 20% open Β· β±οΈ 30.05.2024):
+
+ ```
+ git clone https://github.com/Nixtla/neuralforecast
+ ```
+- [PyPi](https://pypi.org/project/neuralforecast) (π₯ 41K / month Β· π¦ 16 Β· β±οΈ 07.05.2024):
+ ```
+ pip install neuralforecast
+ ```
+- [Conda](https://anaconda.org/conda-forge/neuralforecast) (π₯ 16K Β· β±οΈ 08.05.2024):
+ ```
+ conda install -c conda-forge neuralforecast
+ ```
+pytorch-forecasting (π₯28 Β· β 3.7K) - Time series forecasting with PyTorch. MIT
- [GitHub](https://github.com/jdb78/pytorch-forecasting) (π¨βπ» 44 Β· π 580 Β· π 760 - 62% open Β· β±οΈ 15.03.2024):
@@ -3939,7 +3954,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/jdb78/pytorch-forecasting
```
-- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 50K / month Β· π¦ 16 Β· β±οΈ 26.07.2020):
+- [PyPi](https://pypi.org/project/pytorch-forecasting) (π₯ 52K / month Β· π¦ 16 Β· β±οΈ 26.07.2020):
```
pip install pytorch-forecasting
```
@@ -3948,9 +3963,9 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
conda install -c conda-forge pytorch-forecasting
```
skforecast (π₯28 Β· β 960) - Time series forecasting with scikit-learn models. BSD-3
+skforecast (π₯28 Β· β 970) - Time series forecasting with scikit-learn models. BSD-3
-- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 13 Β· π 110 Β· π¦ 260 Β· π 130 - 17% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/JoaquinAmatRodrigo/skforecast) (π¨βπ» 13 Β· π 110 Β· π¦ 260 Β· π 130 - 17% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/JoaquinAmatRodrigo/skforecast
@@ -3967,23 +3982,23 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 20K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 21K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
```
pip install orbit-ml
```
-- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 7.2K Β· β±οΈ 01.04.2024):
+- [Conda](https://anaconda.org/conda-forge/orbit-ml) (π₯ 7.5K Β· β±οΈ 01.04.2024):
```
conda install -c conda-forge orbit-ml
```
pyts (π₯26 Β· β 1.7K Β· π€) - A Python package for time series classification. BSD-3
-- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 14 Β· π 160 Β· π¦ 600 Β· π 78 - 55% open Β· β±οΈ 20.06.2023):
+- [GitHub](https://github.com/johannfaouzi/pyts) (π¨βπ» 14 Β· π 160 Β· π¦ 610 Β· π 78 - 55% open Β· β±οΈ 20.06.2023):
```
git clone https://github.com/johannfaouzi/pyts
```
-- [PyPi](https://pypi.org/project/pyts) (π₯ 140K / month Β· π¦ 19 Β· β±οΈ 31.10.2021):
+- [PyPi](https://pypi.org/project/pyts) (π₯ 150K / month Β· π¦ 19 Β· β±οΈ 31.10.2021):
```
pip install pyts
```
@@ -3999,7 +4014,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/fraunhoferportugal/tsfel
```
-- [PyPi](https://pypi.org/project/tsfel) (π₯ 22K / month Β· π¦ 3 Β· β±οΈ 27.03.2024):
+- [PyPi](https://pypi.org/project/tsfel) (π₯ 23K / month Β· π¦ 3 Β· β±οΈ 27.03.2024):
```
pip install tsfel
```
@@ -4011,7 +4026,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/linkedin/greykite
```
-- [PyPi](https://pypi.org/project/greykite) (π₯ 11K / month Β· β±οΈ 12.01.2024):
+- [PyPi](https://pypi.org/project/greykite) (π₯ 10K / month Β· β±οΈ 12.01.2024):
```
pip install greykite
```
@@ -4023,7 +4038,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/linkedin/luminol
```
-- [PyPi](https://pypi.org/project/luminol) (π₯ 9.3K / month Β· π¦ 2 Β· β±οΈ 11.12.2017):
+- [PyPi](https://pypi.org/project/luminol) (π₯ 9.6K / month Β· π¦ 2 Β· β±οΈ 11.12.2017):
```
pip install luminol
```
@@ -4035,19 +4050,19 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/AutoViML/Auto_TS
```
-- [PyPi](https://pypi.org/project/auto-ts) (π₯ 9.2K / month Β· β±οΈ 05.05.2024):
+- [PyPi](https://pypi.org/project/auto-ts) (π₯ 12K / month Β· β±οΈ 05.05.2024):
```
pip install auto-ts
```
tsflex (π₯20 Β· β 370) - Flexible time series feature extraction & processing. MIT
+tsflex (π₯20 Β· β 380) - Flexible time series feature extraction & processing. MIT
- [GitHub](https://github.com/predict-idlab/tsflex) (π¨βπ» 6 Β· π 25 Β· π¦ 13 Β· π 52 - 57% open Β· β±οΈ 15.05.2024):
```
git clone https://github.com/predict-idlab/tsflex
```
-- [PyPi](https://pypi.org/project/tsflex) (π₯ 400 / month Β· π¦ 1 Β· β±οΈ 04.04.2024):
+- [PyPi](https://pypi.org/project/tsflex) (π₯ 320 / month Β· π¦ 1 Β· β±οΈ 04.04.2024):
```
pip install tsflex
```
@@ -4063,7 +4078,7 @@ _Libraries for forecasting, anomaly detection, feature extraction, and machine l
```
git clone https://github.com/wwrechard/pydlm
```
-- [PyPi](https://pypi.org/project/pydlm) (π₯ 21K / month Β· π¦ 2 Β· β±οΈ 19.12.2018):
+- [PyPi](https://pypi.org/project/pydlm) (π₯ 22K / month Β· π¦ 2 Β· β±οΈ 19.12.2018):
```
pip install pydlm
```
@@ -4090,7 +4105,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
MNE (π₯39 Β· β 2.6K) - MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python. BSD-3
-- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 370 Β· π 1.3K Β· π¦ 3.9K Β· π 4.8K - 10% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/mne-tools/mne-python) (π¨βπ» 370 Β· π 1.3K Β· π¦ 3.9K Β· π 4.8K - 10% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/mne-tools/mne-python
@@ -4099,19 +4114,19 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
pip install mne
```
-- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 370K Β· β±οΈ 19.04.2024):
+- [Conda](https://anaconda.org/conda-forge/mne) (π₯ 370K Β· β±οΈ 26.05.2024):
```
conda install -c conda-forge mne
```
Nilearn (π₯37 Β· β 1.1K) - Machine learning for NeuroImaging in Python. BSD-3
-- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 240 Β· π 550 Β· π₯ 160 Β· π¦ 3.2K Β· π 2.1K - 14% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/nilearn/nilearn) (π¨βπ» 240 Β· π 550 Β· π₯ 160 Β· π¦ 3.2K Β· π 2.1K - 14% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/nilearn/nilearn
```
-- [PyPi](https://pypi.org/project/nilearn) (π₯ 63K / month Β· π¦ 270 Β· β±οΈ 09.04.2024):
+- [PyPi](https://pypi.org/project/nilearn) (π₯ 62K / month Β· π¦ 280 Β· β±οΈ 09.04.2024):
```
pip install nilearn
```
@@ -4120,14 +4135,14 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
conda install -c conda-forge nilearn
```
MONAI (π₯36 Β· β 5.4K Β· π) - AI Toolkit for Healthcare Imaging. Apache-2
+MONAI (π₯36 Β· β 5.4K) - AI Toolkit for Healthcare Imaging. Apache-2
-- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 190 Β· π 980 Β· π¦ 2.3K Β· π 3K - 11% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/Project-MONAI/MONAI) (π¨βπ» 190 Β· π 980 Β· π¦ 2.3K Β· π 3K - 10% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/Project-MONAI/MONAI
```
-- [PyPi](https://pypi.org/project/monai) (π₯ 150K / month Β· π¦ 95 Β· β±οΈ 21.05.2024):
+- [PyPi](https://pypi.org/project/monai) (π₯ 150K / month Β· π¦ 97 Β· β±οΈ 21.05.2024):
```
pip install monai
```
@@ -4138,12 +4153,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NiBabel (π₯36 Β· β 630) - Python package to access a cacophony of neuro-imaging file formats. MIT
-- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 100 Β· π 260 Β· π¦ 19K Β· π 530 - 24% open Β· β±οΈ 06.05.2024):
+- [GitHub](https://github.com/nipy/nibabel) (π¨βπ» 100 Β· π 260 Β· π¦ 19K Β· π 530 - 24% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/nipy/nibabel
```
-- [PyPi](https://pypi.org/project/nibabel) (π₯ 510K / month Β· π¦ 1K Β· β±οΈ 27.02.2024):
+- [PyPi](https://pypi.org/project/nibabel) (π₯ 490K / month Β· π¦ 1K Β· β±οΈ 27.02.2024):
```
pip install nibabel
```
@@ -4154,23 +4169,23 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
NIPYPE (π₯35 Β· β 740) - Workflows and interfaces for neuroimaging packages. Apache-2
-- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 510 Β· π¦ 4.4K Β· π 1.4K - 29% open Β· β±οΈ 06.05.2024):
+- [GitHub](https://github.com/nipy/nipype) (π¨βπ» 260 Β· π 510 Β· π¦ 4.4K Β· π 1.4K - 29% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/nipy/nipype
```
-- [PyPi](https://pypi.org/project/nipype) (π₯ 160K / month Β· π¦ 140 Β· β±οΈ 06.04.2023):
+- [PyPi](https://pypi.org/project/nipype) (π₯ 170K / month Β· π¦ 140 Β· β±οΈ 06.04.2023):
```
pip install nipype
```
-- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 610K Β· β±οΈ 22.09.2023):
+- [Conda](https://anaconda.org/conda-forge/nipype) (π₯ 620K Β· β±οΈ 22.09.2023):
```
conda install -c conda-forge nipype
```
Lifelines (π₯32 Β· β 2.3K) - Survival analysis in Python. MIT
-- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 580 Β· π¦ 2.5K Β· π 950 - 25% open Β· β±οΈ 07.03.2024):
+- [GitHub](https://github.com/CamDavidsonPilon/lifelines) (π¨βπ» 120 Β· π 580 Β· π¦ 2.5K Β· π 950 - 26% open Β· β±οΈ 07.03.2024):
```
git clone https://github.com/CamDavidsonPilon/lifelines
@@ -4186,12 +4201,12 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
Hail (π₯32 Β· β 940) - Cloud-native genomic dataframes and batch computing. MIT
-- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 92 Β· π 240 Β· π¦ 130 Β· π 2.4K - 9% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/hail-is/hail) (π¨βπ» 92 Β· π 240 Β· π¦ 130 Β· π 2.4K - 9% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/hail-is/hail
```
-- [PyPi](https://pypi.org/project/hail) (π₯ 35K / month Β· π¦ 30 Β· β±οΈ 10.04.2024):
+- [PyPi](https://pypi.org/project/hail) (π₯ 15K / month Β· π¦ 30 Β· β±οΈ 10.04.2024):
```
pip install hail
```
@@ -4215,7 +4230,7 @@ _Libraries for processing and analyzing medical data such as MRIs, EEGs, genomic
```
git clone https://github.com/brainiak/brainiak
```
-- [PyPi](https://pypi.org/project/brainiak) (π₯ 100 / month Β· β±οΈ 15.10.2020):
+- [PyPi](https://pypi.org/project/brainiak) (π₯ 99 / month Β· β±οΈ 15.10.2020):
```
pip install brainiak
```
@@ -4252,7 +4267,7 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/manujosephv/pytorch_tabular
```
-- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 4.2K / month Β· π¦ 2 Β· β±οΈ 15.01.2024):
+- [PyPi](https://pypi.org/project/pytorch_tabular) (π₯ 4.9K / month Β· π¦ 2 Β· β±οΈ 15.01.2024):
```
pip install pytorch_tabular
```
@@ -4264,7 +4279,7 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/AnotherSamWilson/miceforest
```
-- [PyPi](https://pypi.org/project/miceforest) (π₯ 44K / month Β· π¦ 5 Β· β±οΈ 16.11.2023):
+- [PyPi](https://pypi.org/project/miceforest) (π₯ 46K / month Β· π¦ 5 Β· β±οΈ 16.11.2023):
```
pip install miceforest
```
@@ -4280,14 +4295,14 @@ _Libraries for processing tabular and structured data._
```
git clone https://github.com/carefree0910/carefree-learn
```
-- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 300 / month Β· β±οΈ 09.01.2024):
+- [PyPi](https://pypi.org/project/carefree-learn) (π₯ 400 / month Β· β±οΈ 09.01.2024):
```
pip install carefree-learn
```
Show 2 hidden projects...
-- upgini (π₯21 Β· β 290) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
+- upgini (π₯21 Β· β 300) - Data search & enrichment library for Machine Learning Easily find and add.. BSD-3
- deltapy (π₯12 Β· β 530 Β· π) - DeltaPy - Tabular Data Augmentation (by @firmai). MIT
@@ -4298,9 +4313,9 @@ _Libraries for processing tabular and structured data._
_Libraries for optical character recognition (OCR) and text extraction from images or videos._
-PaddleOCR (π₯38 Β· β 39K) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
+PaddleOCR (π₯40 Β· β 39K Β· π) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 200 Β· π 7.2K Β· π¦ 2.6K Β· π 9.3K - 12% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/PaddlePaddle/PaddleOCR) (π¨βπ» 200 Β· π 7.3K Β· π¦ 2.6K Β· π 9.7K - 12% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/PaddlePaddle/PaddleOCR
@@ -4312,28 +4327,28 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
EasyOCR (π₯35 Β· β 22K Β· π€) - Ready-to-use OCR with 80+ supported languages and all popular.. Apache-2
-- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 2.9K Β· π₯ 11M Β· π¦ 6.4K Β· π 970 - 39% open Β· β±οΈ 04.09.2023):
+- [GitHub](https://github.com/JaidedAI/EasyOCR) (π¨βπ» 130 Β· π 2.9K Β· π₯ 11M Β· π¦ 6.6K Β· π 970 - 39% open Β· β±οΈ 04.09.2023):
```
git clone https://github.com/JaidedAI/EasyOCR
```
-- [PyPi](https://pypi.org/project/easyocr) (π₯ 250K / month Β· π¦ 170 Β· β±οΈ 04.09.2023):
+- [PyPi](https://pypi.org/project/easyocr) (π₯ 260K / month Β· π¦ 170 Β· β±οΈ 04.09.2023):
```
pip install easyocr
```
OCRmyPDF (π₯33 Β· β 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
+OCRmyPDF (π₯34 Β· β 12K) - OCRmyPDF adds an OCR text layer to scanned PDF files, allowing them.. MPL-2.0
-- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 96 Β· π 900 Β· π₯ 3.4K Β· π¦ 820 Β· π 1.1K - 9% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/ocrmypdf/OCRmyPDF) (π¨βπ» 96 Β· π 900 Β· π₯ 3.5K Β· π¦ 830 Β· π 1.1K - 9% open Β· β±οΈ 21.05.2024):
```
git clone https://github.com/ocrmypdf/OCRmyPDF
```
-- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 98K / month Β· π¦ 24 Β· β±οΈ 21.05.2024):
+- [PyPi](https://pypi.org/project/ocrmypdf) (π₯ 92K / month Β· π¦ 25 Β· β±οΈ 21.05.2024):
```
pip install ocrmypdf
```
-- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 66K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ocrmypdf) (π₯ 67K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ocrmypdf
```
@@ -4345,7 +4360,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/sirfz/tesserocr
```
-- [PyPi](https://pypi.org/project/tesserocr) (π₯ 68K / month Β· π¦ 34 Β· β±οΈ 27.04.2024):
+- [PyPi](https://pypi.org/project/tesserocr) (π₯ 67K / month Β· π¦ 34 Β· β±οΈ 27.04.2024):
```
pip install tesserocr
```
@@ -4361,7 +4376,7 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/madmaze/pytesseract
```
-- [PyPi](https://pypi.org/project/pytesseract) (π₯ 2.1M / month Β· π¦ 840 Β· β±οΈ 16.08.2022):
+- [PyPi](https://pypi.org/project/pytesseract) (π₯ 2.1M / month Β· π¦ 850 Β· β±οΈ 16.08.2022):
```
pip install pytesseract
```
@@ -4377,14 +4392,14 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
```
git clone https://github.com/open-mmlab/mmocr
```
-- [PyPi](https://pypi.org/project/mmocr) (π₯ 5.7K / month Β· π¦ 3 Β· β±οΈ 05.05.2022):
+- [PyPi](https://pypi.org/project/mmocr) (π₯ 5.9K / month Β· π¦ 3 Β· β±οΈ 05.05.2022):
```
pip install mmocr
```
keras-ocr (π₯25 Β· β 1.3K) - A packaged and flexible version of the CRAFT text detector and.. MIT
+keras-ocr (π₯26 Β· β 1.3K) - A packaged and flexible version of the CRAFT text detector and.. MIT
-- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 330 Β· π₯ 1.2M Β· π¦ 470 Β· β±οΈ 06.11.2023):
+- [GitHub](https://github.com/faustomorales/keras-ocr) (π¨βπ» 18 Β· π 330 Β· π₯ 1.3M Β· π¦ 480 Β· π 210 - 46% open Β· β±οΈ 06.11.2023):
```
git clone https://github.com/faustomorales/keras-ocr
@@ -4398,35 +4413,35 @@ _Libraries for optical character recognition (OCR) and text extraction from imag
conda install -c anaconda keras-ocr
```
attention-ocr (π₯21 Β· β 1.1K Β· π€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT
+calamari (π₯21 Β· β 1K Β· π€) - Line based ATR Engine based on OCRopy. Apache-2
-- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 250 Β· π¦ 28 Β· π 150 - 16% open Β· β±οΈ 20.10.2023):
+- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 20 Β· π 210 Β· π 270 - 23% open Β· β±οΈ 18.08.2023):
```
- git clone https://github.com/emedvedev/attention-ocr
+ git clone https://github.com/Calamari-OCR/calamari
```
-- [PyPi](https://pypi.org/project/aocr) (π₯ 200 / month Β· β±οΈ 19.04.2019):
+- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 2.5K / month Β· π¦ 5 Β· β±οΈ 18.08.2023):
```
- pip install aocr
+ pip install calamari_ocr
```
calamari (π₯21 Β· β 1K Β· π€) - Line based ATR Engine based on OCRopy. Apache-2
+attention-ocr (π₯20 Β· β 1.1K Β· π€) - A Tensorflow model for text recognition (CNN + seq2seq.. MIT
-- [GitHub](https://github.com/Calamari-OCR/calamari) (π¨βπ» 20 Β· π 210 Β· π 270 - 23% open Β· β±οΈ 18.08.2023):
+- [GitHub](https://github.com/emedvedev/attention-ocr) (π¨βπ» 28 Β· π 250 Β· π¦ 28 Β· π 150 - 16% open Β· β±οΈ 20.10.2023):
```
- git clone https://github.com/Calamari-OCR/calamari
+ git clone https://github.com/emedvedev/attention-ocr
```
-- [PyPi](https://pypi.org/project/calamari_ocr) (π₯ 2.2K / month Β· π¦ 5 Β· β±οΈ 18.08.2023):
+- [PyPi](https://pypi.org/project/aocr) (π₯ 140 / month Β· β±οΈ 19.04.2019):
```
- pip install calamari_ocr
+ pip install aocr
```
Show 3 hidden projects...
- pdftabextract (π₯22 Β· β 2.2K Β· π) - A set of tools for extracting tables from PDF files.. Apache-2
- doc2text (π₯20 Β· β 1.3K Β· π) - Detect text blocks and OCR poorly scanned PDFs in bulk. Python.. MIT
-- Mozart (π₯10 Β· β 570 Β· π) - An optical music recognition (OMR) system. Converts sheet.. Apache-2 Apache-2
@@ -4476,30 +4491,30 @@ _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 (π₯45 Β· β 31K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
+Ray (π₯45 Β· β 32K) - Ray is a unified framework for scaling AI and Python applications. Ray.. Apache-2
-- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1K Β· π 5.3K Β· π₯ 210 Β· π¦ 16K Β· π 18K - 20% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/ray-project/ray) (π¨βπ» 1K Β· π 5.3K Β· π₯ 210 Β· π¦ 16K Β· π 18K - 20% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/ray-project/ray
```
-- [PyPi](https://pypi.org/project/ray) (π₯ 4.5M / month Β· π¦ 690 Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/ray) (π₯ 4.2M / month Β· π¦ 690 Β· β±οΈ 22.05.2024):
```
pip install ray
```
-- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 220K Β· β±οΈ 23.05.2024):
+- [Conda](https://anaconda.org/conda-forge/ray-tune) (π₯ 230K Β· β±οΈ 29.05.2024):
```
conda install -c conda-forge ray-tune
```
dask (π₯44 Β· β 12K) - Parallel computing with task scheduling. BSD-3
-- [GitHub](https://github.com/dask/dask) (π¨βπ» 600 Β· π 1.7K Β· π¦ 60K Β· π 5.2K - 20% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/dask/dask) (π¨βπ» 600 Β· π 1.7K Β· π¦ 61K Β· π 5.2K - 20% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/dask/dask
```
-- [PyPi](https://pypi.org/project/dask) (π₯ 8.5M / month Β· π¦ 2.1K Β· β±οΈ 17.05.2024):
+- [PyPi](https://pypi.org/project/dask) (π₯ 8.6M / month Β· π¦ 2.1K Β· β±οΈ 17.05.2024):
```
pip install dask
```
@@ -4510,12 +4525,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
DeepSpeed (π₯41 Β· β 33K) - DeepSpeed is a deep learning optimization library that makes.. Apache-2
-- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 310 Β· π 3.9K Β· π¦ 7.1K Β· π 2.7K - 39% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/microsoft/DeepSpeed) (π¨βπ» 310 Β· π 3.9K Β· π¦ 7.2K Β· π 2.7K - 39% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/microsoft/DeepSpeed
```
-- [PyPi](https://pypi.org/project/deepspeed) (π₯ 520K / month Β· π¦ 160 Β· β±οΈ 23.04.2024):
+- [PyPi](https://pypi.org/project/deepspeed) (π₯ 500K / month Β· π¦ 160 Β· β±οΈ 23.04.2024):
```
pip install deepspeed
```
@@ -4526,12 +4541,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
dask.distributed (π₯40 Β· β 1.5K) - A distributed task scheduler for Dask. BSD-3
-- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 710 Β· π¦ 34K Β· π 3.8K - 39% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/dask/distributed) (π¨βπ» 320 Β· π 710 Β· π¦ 35K Β· π 3.8K - 39% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/dask/distributed
```
-- [PyPi](https://pypi.org/project/distributed) (π₯ 3.9M / month Β· π¦ 740 Β· β±οΈ 17.05.2024):
+- [PyPi](https://pypi.org/project/distributed) (π₯ 4M / month Β· π¦ 750 Β· β±οΈ 17.05.2024):
```
pip install distributed
```
@@ -4542,19 +4557,19 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
horovod (π₯35 Β· β 14K) - Distributed training framework for TensorFlow, Keras, PyTorch, and.. Apache-2
-- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 1.1K Β· π 2.2K - 17% open Β· β±οΈ 25.03.2024):
+- [GitHub](https://github.com/horovod/horovod) (π¨βπ» 170 Β· π 2.2K Β· π¦ 1.2K Β· π 2.2K - 17% open Β· β±οΈ 25.03.2024):
```
git clone https://github.com/horovod/horovod
```
-- [PyPi](https://pypi.org/project/horovod) (π₯ 63K / month Β· π¦ 29 Β· β±οΈ 12.06.2023):
+- [PyPi](https://pypi.org/project/horovod) (π₯ 74K / month Β· π¦ 29 Β· β±οΈ 12.06.2023):
```
pip install horovod
```
H2O-3 (π₯35 Β· β 6.8K) - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning.. Apache-2
-- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 260 Β· π 2K Β· π¦ 21 Β· π 9.4K - 29% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/h2oai/h2o-3) (π¨βπ» 260 Β· π 2K Β· π¦ 21 Β· π 9.4K - 29% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/h2oai/h2o-3
@@ -4566,23 +4581,23 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
metrics (π₯35 Β· β 2K) - Torchmetrics - Machine learning metrics for distributed, scalable.. Apache-2
-- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 240 Β· π 380 Β· π₯ 5.2K Β· π¦ 25K Β· π 820 - 9% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/Lightning-AI/torchmetrics) (π¨βπ» 240 Β· π 380 Β· π₯ 5.2K Β· π¦ 25K Β· π 830 - 9% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/Lightning-AI/metrics
```
-- [PyPi](https://pypi.org/project/metrics) (π₯ 4.7K / month Β· π¦ 2 Β· β±οΈ 28.04.2018):
+- [PyPi](https://pypi.org/project/metrics) (π₯ 4.5K / month Β· π¦ 2 Β· β±οΈ 28.04.2018):
```
pip install metrics
```
-- [Conda](https://anaconda.org/conda-forge/torchmetrics) (π₯ 1.3M Β· β±οΈ 16.05.2024):
+- [Conda](https://anaconda.org/conda-forge/torchmetrics) (π₯ 1.4M Β· β±οΈ 16.05.2024):
```
conda install -c conda-forge torchmetrics
```
ColossalAI (π₯34 Β· β 38K Β· π) - Making large AI models cheaper, faster and more accessible. Apache-2
+ColossalAI (π₯34 Β· β 38K) - Making large AI models cheaper, faster and more accessible. Apache-2
-- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 180 Β· π 4.2K Β· π¦ 370 Β· π 1.6K - 25% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/hpcaitech/ColossalAI) (π¨βπ» 180 Β· π 4.2K Β· π¦ 370 Β· π 1.6K - 25% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/hpcaitech/colossalai
@@ -4590,12 +4605,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
BigDL (π₯33 Β· β 6.1K) - Accelerate local LLM inference and finetuning (LLaMA, Mistral,.. Apache-2
-- [GitHub](https://github.com/intel-analytics/ipex-llm) (π¨βπ» 99 Β· π 1.2K Β· π₯ 480 Β· π¦ 51 Β· π 2.3K - 35% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/intel-analytics/ipex-llm) (π¨βπ» 100 Β· π 1.2K Β· π₯ 490 Β· π¦ 51 Β· π 2.3K - 35% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/intel-analytics/BigDL
```
-- [PyPi](https://pypi.org/project/bigdl) (π₯ 2.4K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
+- [PyPi](https://pypi.org/project/bigdl) (π₯ 3.3K / month Β· π¦ 2 Β· β±οΈ 24.03.2024):
```
pip install bigdl
```
@@ -4608,34 +4623,22 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
FairScale (π₯32 Β· β 2.9K) - PyTorch extensions for high performance and large scale training. BSD-3
+FairScale (π₯32 Β· β 3K) - PyTorch extensions for high performance and large scale training. BSD-3
-- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 75 Β· π 260 Β· π¦ 5.1K Β· π 380 - 25% open Β· β±οΈ 03.05.2024):
+- [GitHub](https://github.com/facebookresearch/fairscale) (π¨βπ» 75 Β· π 260 Β· π¦ 5.2K Β· π 380 - 25% open Β· β±οΈ 03.05.2024):
```
git clone https://github.com/facebookresearch/fairscale
```
-- [PyPi](https://pypi.org/project/fairscale) (π₯ 520K / month Β· π¦ 66 Β· β±οΈ 11.12.2022):
+- [PyPi](https://pypi.org/project/fairscale) (π₯ 510K / month Β· π¦ 66 Β· β±οΈ 11.12.2022):
```
pip install fairscale
```
-- [Conda](https://anaconda.org/conda-forge/fairscale) (π₯ 200K Β· β±οΈ 28.11.2023):
+- [Conda](https://anaconda.org/conda-forge/fairscale) (π₯ 210K Β· β±οΈ 28.11.2023):
```
conda install -c conda-forge fairscale
```
SynapseML (π₯30 Β· β 5K) - Simple and Distributed Machine Learning. MIT
-
-- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 820 Β· π 750 - 46% open Β· β±οΈ 21.05.2024):
-
- ```
- git clone https://github.com/microsoft/SynapseML
- ```
-- [PyPi](https://pypi.org/project/synapseml) (π₯ 240K / month Β· π¦ 5 Β· β±οΈ 11.04.2024):
- ```
- pip install synapseml
- ```
-dask-ml (π₯30 Β· β 880) - Scalable Machine Learning with Dask. BSD-3
- [GitHub](https://github.com/dask/dask-ml) (π¨βπ» 78 Β· π 250 Β· π¦ 1K Β· π 530 - 51% open Β· β±οΈ 02.04.2024):
@@ -4643,7 +4646,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/dask/dask-ml
```
-- [PyPi](https://pypi.org/project/dask-ml) (π₯ 280K / month Β· π¦ 89 Β· β±οΈ 02.04.2024):
+- [PyPi](https://pypi.org/project/dask-ml) (π₯ 260K / month Β· π¦ 89 Β· β±οΈ 02.04.2024):
```
pip install dask-ml
```
@@ -4654,20 +4657,32 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
mpi4py (π₯30 Β· β 760) - Python bindings for MPI. BSD-2
-- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 26 Β· π 110 Β· π₯ 24K Β· π 160 - 4% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/mpi4py/mpi4py) (π¨βπ» 26 Β· π 110 Β· π₯ 24K Β· π 160 - 4% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/mpi4py/mpi4py
```
-- [PyPi](https://pypi.org/project/mpi4py) (π₯ 230K / month Β· π¦ 670 Β· β±οΈ 14.04.2024):
+- [PyPi](https://pypi.org/project/mpi4py) (π₯ 260K / month Β· π¦ 680 Β· β±οΈ 14.04.2024):
```
pip install mpi4py
```
-- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 2.5M Β· β±οΈ 15.04.2024):
+- [Conda](https://anaconda.org/conda-forge/mpi4py) (π₯ 2.5M Β· β±οΈ 25.05.2024):
```
conda install -c conda-forge mpi4py
```
SynapseML (π₯29 Β· β 5K) - Simple and Distributed Machine Learning. MIT
+
+- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 820 Β· π 750 - 46% open Β· β±οΈ 21.05.2024):
+
+ ```
+ git clone https://github.com/microsoft/SynapseML
+ ```
+- [PyPi](https://pypi.org/project/synapseml) (π₯ 240K / month Β· π¦ 5 Β· β±οΈ 11.04.2024):
+ ```
+ pip install synapseml
+ ```
+petastorm (π₯26 Β· β 1.8K) - Petastorm library enables single machine or distributed training.. Apache-2
- [GitHub](https://github.com/uber/petastorm) (π¨βπ» 50 Β· π 280 Β· π₯ 460 Β· π¦ 170 Β· π 320 - 53% open Β· β±οΈ 02.12.2023):
@@ -4675,14 +4690,14 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/uber/petastorm
```
-- [PyPi](https://pypi.org/project/petastorm) (π₯ 36K / month Β· π¦ 8 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/petastorm) (π₯ 50K / month Β· π¦ 8 Β· β±οΈ 03.02.2023):
```
pip install petastorm
```
Submit it (π₯26 Β· β 1.1K) - Python 3.8+ toolbox for submitting jobs to Slurm. MIT
-- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 23 Β· π 110 Β· π¦ 2.6K Β· π 120 - 36% open Β· β±οΈ 09.11.2023):
+- [GitHub](https://github.com/facebookincubator/submitit) (π¨βπ» 23 Β· π 110 Β· π¦ 2.7K Β· π 120 - 36% open Β· β±οΈ 09.11.2023):
```
git clone https://github.com/facebookincubator/submitit
@@ -4691,7 +4706,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
pip install submitit
```
-- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 36K Β· β±οΈ 24.11.2023):
+- [Conda](https://anaconda.org/conda-forge/submitit) (π₯ 37K Β· β±οΈ 24.11.2023):
```
conda install -c conda-forge submitit
```
@@ -4703,7 +4718,7 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/apache/singa
```
-- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 740 Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/nusdbsystem/singa) (π₯ 750 Β· β±οΈ 16.06.2023):
```
conda install -c nusdbsystem singa
```
@@ -4719,12 +4734,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
```
git clone https://github.com/learning-at-home/hivemind
```
-- [PyPi](https://pypi.org/project/hivemind) (π₯ 4K / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
+- [PyPi](https://pypi.org/project/hivemind) (π₯ 3.6K / month Β· π¦ 10 Β· β±οΈ 31.08.2023):
```
pip install hivemind
```
MMLSpark (π₯23 Β· β 5K) - Simple and Distributed Machine Learning. MIT
+MMLSpark (π₯22 Β· β 5K) - Simple and Distributed Machine Learning. MIT
- [GitHub](https://github.com/microsoft/SynapseML) (π¨βπ» 120 Β· π 820 Β· π 750 - 46% open Β· β±οΈ 21.05.2024):
@@ -4743,14 +4758,14 @@ _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) (π₯ 470 / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
+- [PyPi](https://pypi.org/project/analytics-zoo) (π₯ 500 / month Β· π¦ 1 Β· β±οΈ 22.08.2022):
```
pip install analytics-zoo
```
Mesh (π₯22 Β· β 1.6K) - Mesh TensorFlow: Model Parallelism Made Easier. Apache-2
-- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 50 Β· π 260 Β· π 120 - 85% open Β· β±οΈ 17.11.2023):
+- [GitHub](https://github.com/tensorflow/mesh) (π¨βπ» 50 Β· π 260 Β· π 120 - 84% open Β· β±οΈ 17.11.2023):
```
git clone https://github.com/tensorflow/mesh
@@ -4762,12 +4777,12 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
launchpad (π₯21 Β· β 310 Β· π€) - Launchpad is a library that simplifies writing.. Apache-2
-- [GitHub](https://github.com/google-deepmind/launchpad) (π¨βπ» 28 Β· π 33 Β· π¦ 97 Β· π 40 - 47% open Β· β±οΈ 22.08.2023):
+- [GitHub](https://github.com/google-deepmind/launchpad) (π¨βπ» 28 Β· π 34 Β· π¦ 97 Β· π 40 - 47% open Β· β±οΈ 22.08.2023):
```
git clone https://github.com/deepmind/launchpad
```
-- [PyPi](https://pypi.org/project/dm-launchpad) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
+- [PyPi](https://pypi.org/project/dm-launchpad) (π₯ 1.5K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
```
pip install dm-launchpad
```
@@ -4798,41 +4813,25 @@ _Libraries that provide capabilities to distribute and parallelize machine learn
_Libraries for hyperparameter optimization, automl and neural architecture search._
-Ax (π₯35 Β· β 2.3K) - Adaptive Experimentation Platform. MIT
-
-- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 170 Β· π 290 Β· π¦ 720 Β· π 730 - 15% open Β· β±οΈ 22.05.2024):
-
- ```
- git clone https://github.com/facebook/Ax
- ```
-- [PyPi](https://pypi.org/project/ax-platform) (π₯ 96K / month Β· π¦ 48 Β· β±οΈ 02.05.2024):
- ```
- pip install ax-platform
- ```
-- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 20K Β· β±οΈ 03.05.2024):
- ```
- conda install -c conda-forge ax-platform
- ```
-featuretools (π₯34 Β· β 7.1K) - An open source python library for automated feature engineering. BSD-3
-- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 72 Β· π 860 Β· π¦ 1.6K Β· π 1K - 14% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/alteryx/featuretools) (π¨βπ» 72 Β· π 860 Β· π¦ 1.6K Β· π 1K - 14% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/alteryx/featuretools
```
-- [PyPi](https://pypi.org/project/featuretools) (π₯ 68K / month Β· π¦ 73 Β· β±οΈ 14.05.2024):
+- [PyPi](https://pypi.org/project/featuretools) (π₯ 69K / month Β· π¦ 73 Β· β±οΈ 14.05.2024):
```
pip install featuretools
```
-- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 180K Β· β±οΈ 15.05.2024):
+- [Conda](https://anaconda.org/conda-forge/featuretools) (π₯ 190K Β· β±οΈ 15.05.2024):
```
conda install -c conda-forge featuretools
```
BoTorch (π₯34 Β· β 3K) - Bayesian optimization in PyTorch. MIT
-- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 110 Β· π 370 Β· π¦ 1K Β· π 490 - 14% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/pytorch/botorch) (π¨βπ» 110 Β· π 370 Β· π¦ 1K Β· π 500 - 14% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/pytorch/botorch
@@ -4846,6 +4845,22 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge botorch
```
Ax (π₯34 Β· β 2.3K Β· π) - Adaptive Experimentation Platform. MIT
+
+- [GitHub](https://github.com/facebook/Ax) (π¨βπ» 170 Β· π 290 Β· π¦ 720 Β· π 730 - 15% open Β· β±οΈ 30.05.2024):
+
+ ```
+ git clone https://github.com/facebook/Ax
+ ```
+- [PyPi](https://pypi.org/project/ax-platform) (π₯ 96K / month Β· π¦ 48 Β· β±οΈ 02.05.2024):
+ ```
+ pip install ax-platform
+ ```
+- [Conda](https://anaconda.org/conda-forge/ax-platform) (π₯ 20K Β· β±οΈ 03.05.2024):
+ ```
+ conda install -c conda-forge ax-platform
+ ```
+NNI (π₯33 Β· β 14K Β· π€) - An open source AutoML toolkit for automate machine learning lifecycle,.. MIT
- [GitHub](https://github.com/microsoft/nni) (π¨βπ» 190 Β· π 1.8K Β· π¦ 650 Β· π 2.1K - 18% open Β· β±οΈ 26.10.2023):
@@ -4853,7 +4868,7 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/microsoft/nni
```
-- [PyPi](https://pypi.org/project/nni) (π₯ 17K / month Β· π¦ 38 Β· β±οΈ 14.09.2023):
+- [PyPi](https://pypi.org/project/nni) (π₯ 15K / month Β· π¦ 38 Β· β±οΈ 14.09.2023):
```
pip install nni
```
@@ -4870,34 +4885,22 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
pip install autokeras
```
AutoGluon (π₯33 Β· β 7.2K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
+AutoGluon (π₯33 Β· β 7.3K) - Fast and Accurate ML in 3 Lines of Code. Apache-2
-- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 120 Β· π 850 Β· π¦ 700 Β· π 1.3K - 26% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/autogluon/autogluon) (π¨βπ» 120 Β· π 850 Β· π¦ 710 Β· π 1.3K - 26% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/autogluon/autogluon
```
-- [PyPi](https://pypi.org/project/autogluon) (π₯ 75K / month Β· π¦ 23 Β· β±οΈ 23.05.2024):
+- [PyPi](https://pypi.org/project/autogluon) (π₯ 74K / month Β· π¦ 23 Β· β±οΈ 30.05.2024):
```
pip install autogluon
```
-- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 7.7K Β· β 17 Β· β±οΈ 07.03.2024):
+- [Docker Hub](https://hub.docker.com/r/autogluon/autogluon) (π₯ 7.8K Β· β 17 Β· β±οΈ 07.03.2024):
```
docker pull autogluon/autogluon
```
Bayesian Optimization (π₯32 Β· β 7.6K) - A Python implementation of global optimization with.. MIT
-
-- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 44 Β· π 1.5K Β· π₯ 150 Β· π¦ 2.6K Β· π 340 - 4% open Β· β±οΈ 06.03.2024):
-
- ```
- git clone https://github.com/fmfn/BayesianOptimization
- ```
-- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 550K / month Β· π¦ 130 Β· β±οΈ 25.04.2023):
- ```
- pip install bayesian-optimization
- ```
-Hyperopt (π₯32 Β· β 7.1K) - Distributed Asynchronous Hyperparameter Optimization in Python. BSD-3
- [GitHub](https://github.com/hyperopt/hyperopt) (π¨βπ» 100 Β· π 1K Β· π¦ 15K Β· π 650 - 31% open Β· β±οΈ 13.03.2024):
@@ -4914,14 +4917,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge hyperopt
```
Keras Tuner (π₯31 Β· β 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2
+Keras Tuner (π₯32 Β· β 2.8K) - A Hyperparameter Tuning Library for Keras. Apache-2
-- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 61 Β· π 380 Β· π¦ 3.7K Β· π 480 - 43% open Β· β±οΈ 04.03.2024):
+- [GitHub](https://github.com/keras-team/keras-tuner) (π¨βπ» 61 Β· π 380 Β· π¦ 3.8K Β· π 480 - 43% open Β· β±οΈ 04.03.2024):
```
git clone https://github.com/keras-team/keras-tuner
```
-- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 270K / month Β· π¦ 100 Β· β±οΈ 04.03.2024):
+- [PyPi](https://pypi.org/project/keras-tuner) (π₯ 260K / month Β· π¦ 100 Β· β±οΈ 04.03.2024):
```
pip install keras-tuner
```
@@ -4930,9 +4933,21 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge keras-tuner
```
Bayesian Optimization (π₯31 Β· β 7.6K) - A Python implementation of global optimization with.. MIT
+
+- [GitHub](https://github.com/bayesian-optimization/BayesianOptimization) (π¨βπ» 44 Β· π 1.5K Β· π₯ 150 Β· π¦ 2.7K Β· π 340 - 3% open Β· β±οΈ 06.03.2024):
+
+ ```
+ git clone https://github.com/fmfn/BayesianOptimization
+ ```
+- [PyPi](https://pypi.org/project/bayesian-optimization) (π₯ 540K / month Β· π¦ 130 Β· β±οΈ 25.04.2023):
+ ```
+ pip install bayesian-optimization
+ ```
+nevergrad (π₯30 Β· β 3.9K) - A Python toolbox for performing gradient-free optimization. MIT
-- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 55 Β· π 350 Β· π¦ 680 Β· π 300 - 42% open Β· β±οΈ 08.04.2024):
+- [GitHub](https://github.com/facebookresearch/nevergrad) (π¨βπ» 55 Β· π 350 Β· π¦ 690 Β· π 300 - 42% open Β· β±οΈ 08.04.2024):
```
git clone https://github.com/facebookresearch/nevergrad
@@ -4946,14 +4961,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
conda install -c conda-forge nevergrad
```
mljar-supervised (π₯29 Β· β 2.9K) - Python package for AutoML on Tabular Data with Feature.. MIT
+mljar-supervised (π₯29 Β· β 3K) - Python package for AutoML on Tabular Data with Feature.. MIT
- [GitHub](https://github.com/mljar/mljar-supervised) (π¨βπ» 26 Β· π 390 Β· π¦ 110 Β· π 630 - 23% open Β· β±οΈ 22.05.2024):
```
git clone https://github.com/mljar/mljar-supervised
```
-- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 3.1K / month Β· π¦ 3 Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/mljar-supervised) (π₯ 2.9K / month Β· π¦ 3 Β· β±οΈ 22.05.2024):
```
pip install mljar-supervised
```
@@ -4969,19 +4984,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/autonomio/talos
```
-- [PyPi](https://pypi.org/project/talos) (π₯ 1.3K / month Β· π¦ 8 Β· β±οΈ 21.04.2024):
+- [PyPi](https://pypi.org/project/talos) (π₯ 1.2K / month Β· π¦ 8 Β· β±οΈ 21.04.2024):
```
pip install talos
```
FEDOT (π₯24 Β· β 610) - Automated modeling and machine learning framework FEDOT. BSD-3
-- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 33 Β· π 84 Β· π¦ 46 Β· π 530 - 17% open Β· β±οΈ 17.05.2024):
+- [GitHub](https://github.com/aimclub/FEDOT) (π¨βπ» 33 Β· π 84 Β· π¦ 46 Β· π 530 - 17% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/nccr-itmo/FEDOT
```
-- [PyPi](https://pypi.org/project/fedot) (π₯ 1.2K / month Β· π¦ 5 Β· β±οΈ 03.05.2024):
+- [PyPi](https://pypi.org/project/fedot) (π₯ 1.4K / month Β· π¦ 5 Β· β±οΈ 03.05.2024):
```
pip install fedot
```
@@ -4993,12 +5008,12 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/AutoViML/featurewiz
```
-- [PyPi](https://pypi.org/project/featurewiz) (π₯ 8.3K / month Β· π¦ 2 Β· β±οΈ 10.02.2024):
+- [PyPi](https://pypi.org/project/featurewiz) (π₯ 8.4K / month Β· π¦ 2 Β· β±οΈ 10.02.2024):
```
pip install featurewiz
```
Auto ViML (π₯23 Β· β 500) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
+Auto ViML (π₯23 Β· β 510) - Automatically Build Multiple ML Models with a Single Line of Code... Apache-2
- [GitHub](https://github.com/AutoViML/Auto_ViML) (π¨βπ» 9 Β· π 99 Β· π¦ 25 Β· π 34 - 2% open Β· β±οΈ 11.05.2024):
@@ -5010,14 +5025,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
pip install autoviml
```
Hyperactive (π₯22 Β· β 490 Β· π) - An optimization and data collection toolbox for convenient and.. MIT
+Hyperactive (π₯22 Β· β 500) - An optimization and data collection toolbox for convenient and fast.. MIT
- [GitHub](https://github.com/SimonBlanke/Hyperactive) (π¨βπ» 7 Β· π 41 Β· π₯ 140 Β· π¦ 29 Β· π 60 - 13% open Β· β±οΈ 17.05.2024):
```
git clone https://github.com/SimonBlanke/Hyperactive
```
-- [PyPi](https://pypi.org/project/hyperactive) (π₯ 2.9K / month Β· π¦ 13 Β· β±οΈ 17.05.2024):
+- [PyPi](https://pypi.org/project/hyperactive) (π₯ 3K / month Β· π¦ 13 Β· β±οΈ 17.05.2024):
```
pip install hyperactive
```
@@ -5029,14 +5044,14 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/ScottfreeLLC/AlphaPy
```
-- [PyPi](https://pypi.org/project/alphapy) (π₯ 180 / month Β· β±οΈ 29.08.2020):
+- [PyPi](https://pypi.org/project/alphapy) (π₯ 170 / month Β· β±οΈ 29.08.2020):
```
pip install alphapy
```
shap-hypetune (π₯19 Β· β 540) - A python package for simultaneous Hyperparameters Tuning and.. MIT
-- [GitHub](https://github.com/cerlymarco/shap-hypetune) (π¨βπ» 3 Β· π 68 Β· π¦ 15 Β· π 33 - 12% open Β· β±οΈ 21.02.2024):
+- [GitHub](https://github.com/cerlymarco/shap-hypetune) (π¨βπ» 3 Β· π 68 Β· π¦ 16 Β· π 33 - 12% open Β· β±οΈ 21.02.2024):
```
git clone https://github.com/cerlymarco/shap-hypetune
@@ -5053,34 +5068,34 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
```
git clone https://github.com/gugarosa/opytimizer
```
-- [PyPi](https://pypi.org/project/opytimizer) (π₯ 200 / month Β· β±οΈ 04.05.2022):
+- [PyPi](https://pypi.org/project/opytimizer) (π₯ 220 / month Β· β±οΈ 04.05.2022):
```
pip install opytimizer
```
Show 33 hidden projects...
-- Optuna (π₯39 Β· β 9.8K) - A hyperparameter optimization framework. βUnlicensed
+- Optuna (π₯39 Β· β 9.9K) - A hyperparameter optimization framework. βUnlicensed
+- scikit-optimize (π₯34 Β· β 2.7K Β· π) - Sequential model-based optimization with a.. BSD-3
- TPOT (π₯33 Β· β 9.5K) - A Python Automated Machine Learning tool that optimizes machine.. βοΈLGPL-3.0 BSD-3
- auto-sklearn (π₯30 Β· β 7.4K Β· π) - Automated Machine Learning with scikit-learn. BSD-3 MIT MIT βοΈGPL-3.0 βοΈBSD-1-Clause
- GPyOpt (π₯25 Β· β 920 Β· π) - Gaussian Process Optimization using GPy. BSD-3
-- lightwood (π₯25 Β· β 430) - Lightwood is Legos for Machine Learning. βοΈGPL-3.0 Apache-2 BSD-3
- auto_ml (π₯22 Β· β 1.6K Β· π) - [UNMAINTAINED] Automated machine learning for analytics & production. MIT
- Test Tube (π₯22 Β· β 740 Β· π) - Python library to easily log experiments and parallelize.. MIT
-- HpBandSter (π₯22 Β· β 600 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
+- HpBandSter (π₯22 Β· β 610 Β· π) - a distributed Hyperband implementation on Steroids. BSD-3
+- Orion (π₯22 Β· β 280) - Asynchronous Distributed Hyperparameter Optimization. BSD-3
- MLBox (π₯21 Β· β 1.5K Β· π) - MLBox is a powerful Automated Machine Learning python library. βοΈBSD-1-Clause
- Neuraxle (π₯21 Β· β 600 Β· π) - The worlds cleanest AutoML library - Do hyperparameter tuning.. Apache-2
+- optunity (π₯21 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
- igel (π₯20 Β· β 3.1K Β· π) - a delightful machine learning tool that allows you to train, test, and.. MIT
- sklearn-deap (π₯20 Β· β 760 Β· π) - Use evolutionary algorithms instead of gridsearch in.. MIT MIT
-- Auto Tune Models (π₯19 Β· β 520 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
-- optunity (π₯19 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
+- Auto Tune Models (π₯18 Β· β 520 Β· π) - Auto Tune Models - A multi-tenant, multi-data system for.. MIT
- Sherpa (π₯18 Β· β 330 Β· π) - Hyperparameter optimization that enables researchers to.. βοΈGPL-3.0
- Advisor (π₯17 Β· β 1.5K Β· π) - Open-source implementation of Google Vizier for hyper parameters.. Apache-2
- Xcessiv (π₯17 Β· β 1.3K Β· π) - A web-based application for quick, scalable, and automated.. Apache-2
@@ -5102,19 +5117,19 @@ _Libraries for hyperparameter optimization, automl and neural architecture searc
_Libraries for building and evaluating reinforcement learning & agent-based systems._
-FinRL (π₯30 Β· β 9.2K) - FinRL: Financial Reinforcement Learning. MIT
+FinRL (π₯29 Β· β 9.2K) - FinRL: Financial Reinforcement Learning. MIT
-- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 110 Β· π 2.2K Β· π¦ 39 Β· π 690 - 31% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/AI4Finance-Foundation/FinRL) (π¨βπ» 110 Β· π 2.2K Β· π¦ 39 Β· π 700 - 31% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/AI4Finance-Foundation/FinRL
```
-- [PyPi](https://pypi.org/project/finrl) (π₯ 1.3K / month Β· β±οΈ 08.01.2022):
+- [PyPi](https://pypi.org/project/finrl) (π₯ 920 / month Β· β±οΈ 08.01.2022):
```
pip install finrl
```
Dopamine (π₯28 Β· β 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2
+Dopamine (π₯28 Β· β 10K) - Dopamine is a research framework for fast prototyping of.. Apache-2
- [GitHub](https://github.com/google/dopamine) (π¨βπ» 15 Β· π 1.4K Β· π¦ 21 Β· π 190 - 53% open Β· β±οΈ 06.05.2024):
@@ -5126,7 +5141,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
pip install dopamine-rl
```
Acme (π₯28 Β· β 3.4K) - A library of reinforcement learning components and agents. Apache-2
+Acme (π₯28 Β· β 3.4K) - A library of reinforcement learning components and agents. Apache-2
- [GitHub](https://github.com/google-deepmind/acme) (π¨βπ» 85 Β· π 410 Β· π¦ 200 Β· π 260 - 23% open Β· β±οΈ 20.05.2024):
@@ -5142,26 +5157,26 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
conda install -c conda-forge dm-acme
```
TF-Agents (π₯28 Β· β 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2
+TF-Agents (π₯28 Β· β 2.7K) - TF-Agents: A reliable, scalable and easy to use TensorFlow.. Apache-2
- [GitHub](https://github.com/tensorflow/agents) (π¨βπ» 150 Β· π 720 Β· π 660 - 29% open Β· β±οΈ 20.03.2024):
```
git clone https://github.com/tensorflow/agents
```
-- [PyPi](https://pypi.org/project/tf-agents) (π₯ 44K / month Β· π¦ 12 Β· β±οΈ 14.12.2023):
+- [PyPi](https://pypi.org/project/tf-agents) (π₯ 43K / month Β· π¦ 12 Β· β±οΈ 14.12.2023):
```
pip install tf-agents
```
ViZDoom (π₯28 Β· β 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
+ViZDoom (π₯28 Β· β 1.7K) - Reinforcement Learning environments based on the 1993 game Doom. MIT
- [GitHub](https://github.com/Farama-Foundation/ViZDoom) (π¨βπ» 54 Β· π 380 Β· π₯ 12K Β· π¦ 240 Β· π 460 - 8% open Β· β±οΈ 13.02.2024):
```
git clone https://github.com/mwydmuch/ViZDoom
```
-- [PyPi](https://pypi.org/project/vizdoom) (π₯ 2.3K / month Β· π¦ 13 Β· β±οΈ 16.12.2023):
+- [PyPi](https://pypi.org/project/vizdoom) (π₯ 2.4K / month Β· π¦ 13 Β· β±οΈ 16.12.2023):
```
pip install vizdoom
```
@@ -5173,19 +5188,19 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/tensorforce/tensorforce
```
-- [PyPi](https://pypi.org/project/tensorforce) (π₯ 870 / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
+- [PyPi](https://pypi.org/project/tensorforce) (π₯ 730 / month Β· π¦ 4 Β· β±οΈ 30.08.2021):
```
pip install tensorforce
```
RLax (π₯27 Β· β 1.2K) - A library of reinforcement learning building blocks in JAX. Apache-2
+RLax (π₯26 Β· β 1.2K) - A library of reinforcement learning building blocks in JAX. Apache-2
-- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 83 Β· π¦ 230 Β· π 25 - 28% open Β· β±οΈ 24.11.2023):
+- [GitHub](https://github.com/google-deepmind/rlax) (π¨βπ» 21 Β· π 83 Β· π¦ 230 Β· π 25 - 28% open Β· β±οΈ 24.05.2024):
```
git clone https://github.com/deepmind/rlax
```
-- [PyPi](https://pypi.org/project/rlax) (π₯ 2.6M / month Β· π¦ 11 Β· β±οΈ 09.01.2023):
+- [PyPi](https://pypi.org/project/rlax) (π₯ 2.3M / month Β· π¦ 11 Β· β±οΈ 09.01.2023):
```
pip install rlax
```
@@ -5197,7 +5212,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/PaddlePaddle/PARL
```
-- [PyPi](https://pypi.org/project/parl) (π₯ 820 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
+- [PyPi](https://pypi.org/project/parl) (π₯ 890 / month Β· π¦ 1 Β· β±οΈ 13.05.2022):
```
pip install parl
```
@@ -5209,7 +5224,7 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/facebookresearch/ReAgent
```
-- [PyPi](https://pypi.org/project/reagent) (π₯ 26 / month Β· β±οΈ 27.05.2020):
+- [PyPi](https://pypi.org/project/reagent) (π₯ 25 / month Β· β±οΈ 27.05.2020):
```
pip install reagent
```
@@ -5221,14 +5236,14 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
```
git clone https://github.com/pfnet/pfrl
```
-- [PyPi](https://pypi.org/project/pfrl) (π₯ 350 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
+- [PyPi](https://pypi.org/project/pfrl) (π₯ 370 / month Β· π¦ 1 Β· β±οΈ 16.07.2023):
```
pip install pfrl
```
rliable (π₯14 Β· β 700) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
+rliable (π₯13 Β· β 710) - [NeurIPS21 Outstanding Paper] Library for reliable evaluation on RL.. Apache-2
-- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 6 Β· π 43 Β· π¦ 130 Β· π 16 - 25% open Β· β±οΈ 29.01.2024):
+- [GitHub](https://github.com/google-research/rliable) (π¨βπ» 7 Β· π 43 Β· π¦ 130 Β· π 17 - 23% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/google-research/rliable
@@ -5241,8 +5256,8 @@ _Libraries for building and evaluating reinforcement learning & agent-based syst
Show 12 hidden projects...
- OpenAI Gym (π₯40 Β· β 34K Β· π) - A toolkit for developing and comparing reinforcement learning.. MIT
-- baselines (π₯28 Β· β 15K Β· π) - OpenAI Baselines: high-quality implementations of reinforcement.. MIT
-- keras-rl (π₯28 Β· β 5.5K Β· π) - Deep Reinforcement Learning for Keras. MIT MIT
+- keras-rl (π₯28 Β· β 5.5K Β· π) - Deep Reinforcement Learning for Keras. MIT Apache-2 MIT MIT
@@ -5268,7 +5283,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/microsoft/recommenders
```
-- [PyPi](https://pypi.org/project/recommenders) (π₯ 26K / month Β· π¦ 4 Β· β±οΈ 01.05.2024):
+- [PyPi](https://pypi.org/project/recommenders) (π₯ 27K / month Β· π¦ 4 Β· β±οΈ 01.05.2024):
```
pip install recommenders
```
@@ -5280,47 +5295,47 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/benfred/implicit
```
-- [PyPi](https://pypi.org/project/implicit) (π₯ 180K / month Β· π¦ 28 Β· β±οΈ 29.09.2023):
+- [PyPi](https://pypi.org/project/implicit) (π₯ 190K / month Β· π¦ 28 Β· β±οΈ 29.09.2023):
```
pip install implicit
```
-- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 630K Β· β±οΈ 21.11.2023):
+- [Conda](https://anaconda.org/conda-forge/implicit) (π₯ 640K Β· β±οΈ 21.11.2023):
```
conda install -c conda-forge implicit
```
TF Recommenders (π₯30 Β· β 1.8K) - TensorFlow Recommenders is a library for building.. Apache-2
-- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 43 Β· π 260 Β· π¦ 320 Β· π 430 - 57% open Β· β±οΈ 16.02.2024):
+- [GitHub](https://github.com/tensorflow/recommenders) (π¨βπ» 43 Β· π 260 Β· π¦ 330 Β· π 430 - 57% open Β· β±οΈ 16.02.2024):
```
git clone https://github.com/tensorflow/recommenders
```
-- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 470K / month Β· π¦ 1 Β· β±οΈ 03.02.2023):
+- [PyPi](https://pypi.org/project/tensorflow-recommenders) (π₯ 460K / month Β· π¦ 1 Β· β±οΈ 03.02.2023):
```
pip install tensorflow-recommenders
```
torchrec (π₯30 Β· β 1.7K) - Pytorch domain library for recommendation systems. BSD-3
+torchrec (π₯30 Β· β 1.8K) - Pytorch domain library for recommendation systems. BSD-3
-- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 230 Β· π 360 Β· π¦ 110 Β· π 360 - 71% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/pytorch/torchrec) (π¨βπ» 230 Β· π 360 Β· π¦ 120 Β· π 360 - 70% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/pytorch/torchrec
```
-- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 530 / month Β· β±οΈ 12.05.2022):
+- [PyPi](https://pypi.org/project/torchrec-nightly-cpu) (π₯ 920 / month Β· β±οΈ 12.05.2022):
```
pip install torchrec-nightly-cpu
```
scikit-surprise (π₯29 Β· β 6.2K Β· π) - A Python scikit for building and analyzing recommender.. BSD-3
+scikit-surprise (π₯29 Β· β 6.2K) - A Python scikit for building and analyzing recommender.. BSD-3
- [GitHub](https://github.com/NicolasHug/Surprise) (π¨βπ» 46 Β· π 1K Β· π¦ 21 Β· π 400 - 22% open Β· β±οΈ 19.05.2024):
```
git clone https://github.com/NicolasHug/Surprise
```
-- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 92K / month Β· π¦ 36 Β· β±οΈ 19.05.2024):
+- [PyPi](https://pypi.org/project/scikit-surprise) (π₯ 98K / month Β· π¦ 36 Β· β±οΈ 19.05.2024):
```
pip install scikit-surprise
```
@@ -5341,18 +5356,18 @@ _Libraries for building and evaluating recommendation systems._
pip install tensorflow_ranking
```
Cornac (π₯28 Β· β 820) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
+Cornac (π₯28 Β· β 830) - A Comparative Framework for Multimodal Recommender Systems. Apache-2
-- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 21 Β· π 130 Β· π¦ 210 Β· π 150 - 9% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/PreferredAI/cornac) (π¨βπ» 21 Β· π 130 Β· π¦ 210 Β· π 150 - 9% open Β· β±οΈ 24.05.2024):
```
git clone https://github.com/PreferredAI/cornac
```
-- [PyPi](https://pypi.org/project/cornac) (π₯ 34K / month Β· π¦ 18 Β· β±οΈ 06.05.2024):
+- [PyPi](https://pypi.org/project/cornac) (π₯ 36K / month Β· π¦ 18 Β· β±οΈ 24.05.2024):
```
pip install cornac
```
-- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 380K Β· β±οΈ 22.05.2024):
+- [Conda](https://anaconda.org/conda-forge/cornac) (π₯ 390K Β· β±οΈ 24.05.2024):
```
conda install -c conda-forge cornac
```
@@ -5364,7 +5379,7 @@ _Libraries for building and evaluating recommendation systems._
```
git clone https://github.com/RUCAIBox/RecBole
```
-- [PyPi](https://pypi.org/project/recbole) (π₯ 3.8K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
+- [PyPi](https://pypi.org/project/recbole) (π₯ 3.5K / month Β· π¦ 2 Β· β±οΈ 31.10.2023):
```
pip install recbole
```
@@ -5375,7 +5390,7 @@ _Libraries for building and evaluating recommendation systems._
recmetrics (π₯20 Β· β 560 Β· π€) - A library of metrics for evaluating recommender systems. MIT
-- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 97 Β· π₯ 6 Β· π¦ 52 Β· π 28 - 46% open Β· β±οΈ 04.10.2023):
+- [GitHub](https://github.com/statisticianinstilettos/recmetrics) (π¨βπ» 20 Β· π 98 Β· π₯ 6 Β· π¦ 52 Β· π 28 - 46% open Β· β±οΈ 04.10.2023):
```
git clone https://github.com/statisticianinstilettos/recmetrics
@@ -5406,19 +5421,19 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
PySyft (π₯37 Β· β 9.3K) - Perform data science on data that remains in someone elses server. Apache-2
-- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 510 Β· π 2K Β· π₯ 2.5K Β· π¦ 1 Β· π 3.4K - 0% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/OpenMined/PySyft) (π¨βπ» 510 Β· π 2K Β· π₯ 2.5K Β· π¦ 1 Β· π 3.4K - 0% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/OpenMined/PySyft
```
-- [PyPi](https://pypi.org/project/syft) (π₯ 10K / month Β· π¦ 3 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/syft) (π₯ 10K / month Β· π¦ 3 Β· β±οΈ 28.05.2024):
```
pip install syft
```
Opacus (π₯29 Β· β 1.6K) - Training PyTorch models with differential privacy. Apache-2
-- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 79 Β· π 320 Β· π₯ 110 Β· π¦ 790 Β· π 300 - 27% open Β· β±οΈ 19.05.2024):
+- [GitHub](https://github.com/pytorch/opacus) (π¨βπ» 79 Β· π 320 Β· π₯ 110 Β· π¦ 800 Β· π 300 - 27% open Β· β±οΈ 19.05.2024):
```
git clone https://github.com/pytorch/opacus
@@ -5432,7 +5447,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
conda install -c conda-forge opacus
```
FATE (π₯27 Β· β 5.5K) - An Industrial Grade Federated Learning Framework. Apache-2
+FATE (π₯26 Β· β 5.5K) - An Industrial Grade Federated Learning Framework. Apache-2
- [GitHub](https://github.com/FederatedAI/FATE) (π¨βπ» 100 Β· π 1.5K Β· π 2K - 43% open Β· β±οΈ 08.03.2024):
@@ -5444,7 +5459,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
pip install ETAF
```
TensorFlow Privacy (π₯26 Β· β 1.9K) - Library for training machine learning models with.. Apache-2
+TensorFlow Privacy (π₯26 Β· β 1.9K) - Library for training machine learning models with.. Apache-2
- [GitHub](https://github.com/tensorflow/privacy) (π¨βπ» 59 Β· π 450 Β· π₯ 160 Β· π 200 - 55% open Β· β±οΈ 13.05.2024):
@@ -5458,12 +5473,12 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
CrypTen (π₯24 Β· β 1.5K) - A framework for Privacy Preserving Machine Learning. MIT
-- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 35 Β· π 270 Β· π¦ 36 Β· π 270 - 28% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/facebookresearch/CrypTen) (π¨βπ» 36 Β· π 270 Β· π¦ 36 Β· π 270 - 28% open Β· β±οΈ 23.05.2024):
```
git clone https://github.com/facebookresearch/CrypTen
```
-- [PyPi](https://pypi.org/project/crypten) (π₯ 320 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/crypten) (π₯ 310 / month Β· π¦ 1 Β· β±οΈ 08.12.2022):
```
pip install crypten
```
@@ -5471,7 +5486,7 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
Show 2 hidden projects...
- TFEncrypted (π₯24 Β· β 1.2K Β· π) - A Framework for Encrypted Machine Learning in.. Apache-2 Apache-2
+- PipelineDP (π₯17 Β· β 270) - PipelineDP is a Python framework for applying differentially.. Apache-2
@@ -5481,18 +5496,18 @@ _Libraries for encrypted and privacy-preserving machine learning using methods l
_Libraries to organize, track, and visualize machine learning experiments._
-mlflow (π₯44 Β· β 17K) - Open source platform for the machine learning lifecycle. Apache-2
+mlflow (π₯44 Β· β 18K) - Open source platform for the machine learning lifecycle. Apache-2
-- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 730 Β· π 4K Β· π¦ 36K Β· π 3.9K - 37% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/mlflow/mlflow) (π¨βπ» 730 Β· π 4K Β· π¦ 36K Β· π 3.9K - 37% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/mlflow/mlflow
```
-- [PyPi](https://pypi.org/project/mlflow) (π₯ 15M / month Β· π¦ 780 Β· β±οΈ 20.05.2024):
+- [PyPi](https://pypi.org/project/mlflow) (π₯ 14M / month Β· π¦ 780 Β· β±οΈ 20.05.2024):
```
pip install mlflow
```
-- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 1.9M Β· β±οΈ 21.05.2024):
+- [Conda](https://anaconda.org/conda-forge/mlflow) (π₯ 2M Β· β±οΈ 21.05.2024):
```
conda install -c conda-forge mlflow
```
@@ -5504,7 +5519,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/tensorflow/tensorboard
```
-- [PyPi](https://pypi.org/project/tensorboard) (π₯ 29M / month Β· π¦ 2K Β· β±οΈ 16.02.2024):
+- [PyPi](https://pypi.org/project/tensorboard) (π₯ 27M / month Β· π¦ 2K Β· β±οΈ 16.02.2024):
```
pip install tensorboard
```
@@ -5513,9 +5528,9 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge tensorboard
```
wandb client (π₯42 Β· β 8.3K) - A tool for visualizing and tracking your machine learning.. MIT
+wandb client (π₯42 Β· β 8.4K) - A tool for visualizing and tracking your machine learning.. MIT
-- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 180 Β· π 610 Β· π¦ 46K Β· π 3.1K - 26% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/wandb/wandb) (π¨βπ» 180 Β· π 610 Β· π¦ 46K Β· π 3.1K - 26% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/wandb/client
@@ -5531,44 +5546,44 @@ _Libraries to organize, track, and visualize machine learning experiments._
DVC (π₯41 Β· β 13K) - ML Experiments and Data Management with Git. Apache-2
-- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 300 Β· π 1.1K Β· π₯ 41K Β· π¦ 15K Β· π 4.6K - 4% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/iterative/dvc) (π¨βπ» 300 Β· π 1.1K Β· π₯ 40K Β· π¦ 15K Β· π 4.6K - 4% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/iterative/dvc
```
-- [PyPi](https://pypi.org/project/dvc) (π₯ 500K / month Β· π¦ 120 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/dvc) (π₯ 480K / month Β· π¦ 120 Β· β±οΈ 27.05.2024):
```
pip install dvc
```
-- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.9M Β· β±οΈ 14.05.2024):
+- [Conda](https://anaconda.org/conda-forge/dvc) (π₯ 1.9M Β· β±οΈ 30.05.2024):
```
conda install -c conda-forge dvc
```
SageMaker SDK (π₯40 Β· β 2.1K) - A library for training and deploying machine learning.. Apache-2
-- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 440 Β· π 1.1K Β· π¦ 4K Β· π 1.5K - 19% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/aws/sagemaker-python-sdk) (π¨βπ» 440 Β· π 1.1K Β· π¦ 4K Β· π 1.5K - 19% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/aws/sagemaker-python-sdk
```
-- [PyPi](https://pypi.org/project/sagemaker) (π₯ 25M / month Β· π¦ 130 Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/sagemaker) (π₯ 24M / month Β· π¦ 130 Β· β±οΈ 22.05.2024):
```
pip install sagemaker
```
-- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 790K Β· β±οΈ 23.05.2024):
+- [Conda](https://anaconda.org/conda-forge/sagemaker-python-sdk) (π₯ 810K Β· β±οΈ 23.05.2024):
```
conda install -c conda-forge sagemaker-python-sdk
```
PyCaret (π₯38 Β· β 8.5K) - An open-source, low-code machine learning library in Python. MIT
+PyCaret (π₯38 Β· β 8.6K) - An open-source, low-code machine learning library in Python. MIT
- [GitHub](https://github.com/pycaret/pycaret) (π¨βπ» 140 Β· π 1.7K Β· π₯ 690 Β· π¦ 5.7K Β· π 2.3K - 15% open Β· β±οΈ 28.04.2024):
```
git clone https://github.com/pycaret/pycaret
```
-- [PyPi](https://pypi.org/project/pycaret) (π₯ 360K / month Β· π¦ 30 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/pycaret) (π₯ 340K / month Β· π¦ 30 Β· β±οΈ 28.04.2024):
```
pip install pycaret
```
@@ -5577,25 +5592,9 @@ _Libraries to organize, track, and visualize machine learning experiments._
conda install -c conda-forge pycaret
```
Metaflow (π₯34 Β· β 7.7K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2
-
-- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 89 Β· π 720 Β· π¦ 650 Β· π 690 - 46% open Β· β±οΈ 23.05.2024):
-
- ```
- git clone https://github.com/Netflix/metaflow
- ```
-- [PyPi](https://pypi.org/project/metaflow) (π₯ 540K / month Β· π¦ 45 Β· β±οΈ 22.05.2024):
- ```
- pip install metaflow
- ```
-- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 170K Β· β±οΈ 09.05.2024):
- ```
- conda install -c conda-forge metaflow
- ```
-ClearML (π₯34 Β· β 5.3K) - ClearML - Auto-Magical CI/CD to streamline your AI workload... Apache-2
-- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 96 Β· π 640 Β· π₯ 2.5K Β· π¦ 1.1K Β· π 1K - 45% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/allegroai/clearml) (π¨βπ» 96 Β· π 640 Β· π₯ 2.5K Β· π¦ 1.1K Β· π 1K - 45% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/allegroai/clearml
@@ -5609,34 +5608,50 @@ _Libraries to organize, track, and visualize machine learning experiments._
docker pull allegroai/trains
```
snakemake (π₯34 Β· β 2.1K) - This is the development home of the workflow management system.. MIT
+Metaflow (π₯33 Β· β 7.7K) - Build and manage real-life ML, AI, and data science projects with.. Apache-2
-- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 330 Β· π 520 Β· π¦ 2K Β· π 1.7K - 61% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/Netflix/metaflow) (π¨βπ» 89 Β· π 720 Β· π¦ 660 Β· π 690 - 46% open Β· β±οΈ 29.05.2024):
```
- git clone https://github.com/snakemake/snakemake
+ git clone https://github.com/Netflix/metaflow
```
-- [PyPi](https://pypi.org/project/snakemake) (π₯ 57K / month Β· π¦ 220 Β· β±οΈ 17.05.2024):
+- [PyPi](https://pypi.org/project/metaflow) (π₯ 390K / month Β· π¦ 45 Β· β±οΈ 28.05.2024):
```
- pip install snakemake
+ pip install metaflow
```
-- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.1M Β· β±οΈ 03.05.2024):
+- [Conda](https://anaconda.org/conda-forge/metaflow) (π₯ 170K Β· β±οΈ 28.05.2024):
```
- conda install -c bioconda snakemake
+ conda install -c conda-forge metaflow
```
AzureML SDK (π₯33 Β· β 4K) - Python notebooks with ML and deep learning examples with Azure Machine.. MIT
-- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 64 Β· π 2.5K Β· π₯ 580 Β· π 1.5K - 26% open Β· β±οΈ 16.05.2024):
+- [GitHub](https://github.com/Azure/MachineLearningNotebooks) (π¨βπ» 64 Β· π 2.5K Β· π₯ 600 Β· π 1.5K - 26% open Β· β±οΈ 16.05.2024):
```
git clone https://github.com/Azure/MachineLearningNotebooks
```
-- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 580K / month Β· π¦ 48 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/azureml-sdk) (π₯ 560K / month Β· π¦ 48 Β· β±οΈ 29.04.2024):
```
pip install azureml-sdk
```
snakemake (π₯33 Β· β 2.1K) - This is the development home of the workflow management system.. MIT
+
+- [GitHub](https://github.com/snakemake/snakemake) (π¨βπ» 330 Β· π 520 Β· π¦ 2K Β· π 1.7K - 61% open Β· β±οΈ 27.05.2024):
+
+ ```
+ git clone https://github.com/snakemake/snakemake
+ ```
+- [PyPi](https://pypi.org/project/snakemake) (π₯ 44K / month Β· π¦ 220 Β· β±οΈ 27.05.2024):
+ ```
+ pip install snakemake
+ ```
+- [Conda](https://anaconda.org/bioconda/snakemake) (π₯ 1.1M Β· β±οΈ 28.05.2024):
+ ```
+ conda install -c bioconda snakemake
+ ```
+tensorboardX (π₯32 Β· β 7.8K) - tensorboard for pytorch (and chainer, mxnet, numpy, ...). MIT
- [GitHub](https://github.com/lanpa/tensorboardX) (π¨βπ» 82 Β· π 870 Β· π₯ 420 Β· π¦ 44K Β· π 450 - 17% open Β· β±οΈ 12.11.2023):
@@ -5644,7 +5659,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/lanpa/tensorboardX
```
-- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.2M / month Β· π¦ 600 Β· β±οΈ 20.08.2023):
+- [PyPi](https://pypi.org/project/tensorboardX) (π₯ 2.1M / month Β· π¦ 600 Β· β±οΈ 20.08.2023):
```
pip install tensorboardX
```
@@ -5671,28 +5686,28 @@ _Libraries to organize, track, and visualize machine learning experiments._
aim (π₯32 Β· β 4.9K) - Aim An easy-to-use & supercharged open-source experiment tracker. Apache-2
-- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 64 Β· π 290 Β· π¦ 560 Β· π 1K - 34% open Β· β±οΈ 17.04.2024):
+- [GitHub](https://github.com/aimhubio/aim) (π¨βπ» 64 Β· π 290 Β· π¦ 570 Β· π 1K - 34% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/aimhubio/aim
```
-- [PyPi](https://pypi.org/project/aim) (π₯ 80K / month Β· π¦ 34 Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/aim) (π₯ 75K / month Β· π¦ 34 Β· β±οΈ 23.05.2024):
```
pip install aim
```
-- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 47K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/aim) (π₯ 48K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge aim
```
Neptune.ai (π₯31 Β· β 540) - The MLOps stack component for experiment tracking. Apache-2
-- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 54 Β· π 58 Β· π¦ 480 Β· π 230 - 9% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/neptune-ai/neptune-client) (π¨βπ» 54 Β· π 58 Β· π¦ 490 Β· π 230 - 9% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/neptune-ai/neptune-client
```
-- [PyPi](https://pypi.org/project/neptune-client) (π₯ 530K / month Β· π¦ 77 Β· β±οΈ 15.05.2024):
+- [PyPi](https://pypi.org/project/neptune-client) (π₯ 520K / month Β· π¦ 77 Β· β±οΈ 15.05.2024):
```
pip install neptune-client
```
@@ -5703,7 +5718,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
VisualDL (π₯29 Β· β 4.7K Β· π€) - Deep Learning Visualization Toolkit. Apache-2
-- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 33 Β· π 630 Β· π₯ 360 Β· π¦ 2.9K Β· π 500 - 28% open Β· β±οΈ 20.09.2023):
+- [GitHub](https://github.com/PaddlePaddle/VisualDL) (π¨βπ» 33 Β· π 630 Β· π₯ 370 Β· π¦ 2.9K Β· π 500 - 28% open Β· β±οΈ 20.09.2023):
```
git clone https://github.com/PaddlePaddle/VisualDL
@@ -5720,59 +5735,47 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/IDSIA/sacred
```
-- [PyPi](https://pypi.org/project/sacred) (π₯ 30K / month Β· π¦ 58 Β· β±οΈ 13.11.2023):
+- [PyPi](https://pypi.org/project/sacred) (π₯ 31K / month Β· π¦ 58 Β· β±οΈ 13.11.2023):
```
pip install sacred
```
-- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 5.3K Β· β±οΈ 28.11.2023):
+- [Conda](https://anaconda.org/conda-forge/sacred) (π₯ 5.4K Β· β±οΈ 28.11.2023):
```
conda install -c conda-forge sacred
```
Labml (π₯28 Β· β 1.9K) - Monitor deep learning model training and hardware usage from your mobile.. MIT
-- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 130 Β· π¦ 150 Β· π 38 - 42% open Β· β±οΈ 19.05.2024):
+- [GitHub](https://github.com/labmlai/labml) (π¨βπ» 9 Β· π 130 Β· π¦ 150 Β· π 39 - 43% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/labmlai/labml
```
-- [PyPi](https://pypi.org/project/labml) (π₯ 3.8K / month Β· π¦ 6 Β· β±οΈ 21.03.2024):
+- [PyPi](https://pypi.org/project/labml) (π₯ 3K / month Β· π¦ 12 Β· β±οΈ 23.05.2024):
```
pip install labml
```
quinn (π₯27 Β· β 580) - pyspark methods to enhance developer productivity. Apache-2
-
-- [GitHub](https://github.com/MrPowers/quinn) (π¨βπ» 28 Β· π 91 Β· π₯ 23 Β· π¦ 77 Β· π 120 - 31% open Β· β±οΈ 07.05.2024):
-
- ```
- git clone https://github.com/MrPowers/quinn
- ```
-- [PyPi](https://pypi.org/project/quinn) (π₯ 770K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
- ```
- pip install quinn
- ```
-TNT (π₯26 Β· β 1.6K) - A lightweight library for PyTorch training tools and utilities. BSD-3
-- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 130 Β· π 260 Β· π 140 - 53% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/pytorch/tnt) (π¨βπ» 130 Β· π 260 Β· π 140 - 53% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/pytorch/tnt
```
-- [PyPi](https://pypi.org/project/torchnet) (π₯ 7.2K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
+- [PyPi](https://pypi.org/project/torchnet) (π₯ 7.3K / month Β· π¦ 24 Β· β±οΈ 29.07.2018):
```
pip install torchnet
```
ml-metadata (π₯26 Β· β 600) - For recording and retrieving metadata associated with ML.. Apache-2
-- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 19 Β· π 130 Β· π₯ 2.2K Β· π¦ 450 Β· π 120 - 34% open Β· β±οΈ 26.04.2024):
+- [GitHub](https://github.com/google/ml-metadata) (π¨βπ» 19 Β· π 130 Β· π₯ 2.2K Β· π¦ 460 Β· π 120 - 34% open Β· β±οΈ 26.04.2024):
```
git clone https://github.com/google/ml-metadata
```
-- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 85K / month Β· π¦ 31 Β· β±οΈ 23.04.2024):
+- [PyPi](https://pypi.org/project/ml-metadata) (π₯ 84K / month Β· π¦ 31 Β· β±οΈ 23.04.2024):
```
pip install ml-metadata
```
@@ -5784,11 +5787,23 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/m3dev/gokart
```
-- [PyPi](https://pypi.org/project/gokart) (π₯ 2.9K / month Β· π¦ 8 Β· β±οΈ 21.05.2024):
+- [PyPi](https://pypi.org/project/gokart) (π₯ 2.8K / month Β· π¦ 8 Β· β±οΈ 21.05.2024):
```
pip install gokart
```
quinn (π₯24 Β· β 580 Β· π) - pyspark methods to enhance developer productivity. Apache-2
+
+- [GitHub](https://github.com/MrPowers/quinn) (π¨βπ» 28 Β· π 91 Β· π₯ 23 Β· π 120 - 31% open Β· β±οΈ 07.05.2024):
+
+ ```
+ git clone https://github.com/MrPowers/quinn
+ ```
+- [PyPi](https://pypi.org/project/quinn) (π₯ 760K / month Β· π¦ 7 Β· β±οΈ 13.02.2024):
+ ```
+ pip install quinn
+ ```
+Guild AI (π₯23 Β· β 860 Β· π€) - Experiment tracking, ML developer tools. Apache-2
- [GitHub](https://github.com/guildai/guildai) (π¨βπ» 29 Β· π 84 Β· π₯ 16 Β· π¦ 96 Β· π 440 - 50% open Β· β±οΈ 12.08.2023):
@@ -5808,7 +5823,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/studioml/studio
```
-- [PyPi](https://pypi.org/project/studioml) (π₯ 900 / month Β· β±οΈ 14.09.2021):
+- [PyPi](https://pypi.org/project/studioml) (π₯ 780 / month Β· β±οΈ 14.09.2021):
```
pip install studioml
```
@@ -5820,7 +5835,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/microsoft/tensorwatch
```
-- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 860 / month Β· π¦ 7 Β· β±οΈ 04.03.2020):
+- [PyPi](https://pypi.org/project/tensorwatch) (π₯ 800 / month Β· π¦ 7 Β· β±οΈ 04.03.2020):
```
pip install tensorwatch
```
@@ -5832,7 +5847,7 @@ _Libraries to organize, track, and visualize machine learning experiments._
```
git clone https://github.com/comet-ml/examples
```
-- [PyPi](https://pypi.org/project/comet_ml) (π₯ 660K / month Β· π¦ 68 Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/comet_ml) (π₯ 670K / month Β· π¦ 68 Β· β±οΈ 29.05.2024):
```
pip install comet_ml
```
@@ -5885,46 +5900,46 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/onnx/onnx
```
-- [PyPi](https://pypi.org/project/onnx) (π₯ 5.7M / month Β· π¦ 920 Β· β±οΈ 25.03.2024):
+- [PyPi](https://pypi.org/project/onnx) (π₯ 5.6M / month Β· π¦ 930 Β· β±οΈ 23.05.2024):
```
pip install onnx
```
-- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 1M Β· β±οΈ 17.05.2024):
+- [Conda](https://anaconda.org/conda-forge/onnx) (π₯ 1M Β· β±οΈ 24.05.2024):
```
conda install -c conda-forge onnx
```
triton (π₯43 Β· β 11K) - Development repository for the Triton language and compiler. MIT
+triton (π₯43 Β· β 12K) - Development repository for the Triton language and compiler. MIT
-- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 260 Β· π 1.3K Β· π¦ 26K Β· π 1.2K - 44% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/triton-lang/triton) (π¨βπ» 270 Β· π 1.3K Β· π¦ 27K Β· π 1.2K - 42% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/openai/triton
```
-- [PyPi](https://pypi.org/project/triton) (π₯ 12M / month Β· π¦ 170 Β· β±οΈ 05.04.2024):
+- [PyPi](https://pypi.org/project/triton) (π₯ 12M / month Β· π¦ 180 Β· β±οΈ 27.05.2024):
```
pip install triton
```
huggingface_hub (π₯38 Β· β 1.7K) - The official Python client for the Huggingface Hub. Apache-2
-- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 160 Β· π 440 Β· π 830 - 18% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/huggingface/huggingface_hub) (π¨βπ» 160 Β· π 450 Β· π 830 - 17% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/huggingface/huggingface_hub
```
-- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 35M / month Β· π¦ 1.2K Β· β±οΈ 21.05.2024):
+- [PyPi](https://pypi.org/project/huggingface_hub) (π₯ 35M / month Β· π¦ 1.3K Β· β±οΈ 27.05.2024):
```
pip install huggingface_hub
```
-- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 1.8M Β· β±οΈ 03.05.2024):
+- [Conda](https://anaconda.org/conda-forge/huggingface_hub) (π₯ 1.8M Β· β±οΈ 28.05.2024):
```
conda install -c conda-forge huggingface_hub
```
BentoML (π₯35 Β· β 6.6K) - The easiest way to serve AI/ML models in production - Build Model.. Apache-2
-- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 200 Β· π 740 Β· π₯ 1.6K Β· π¦ 1.8K Β· π 1.1K - 22% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/bentoml/BentoML) (π¨βπ» 200 Β· π 740 Β· π₯ 1.6K Β· π¦ 1.8K Β· π 1.1K - 22% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/bentoml/BentoML
@@ -5936,12 +5951,12 @@ _Libraries to serialize models to files, convert between a variety of model form
TorchServe (π₯35 Β· β 4K) - Serve, optimize and scale PyTorch models in production. Apache-2
-- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 200 Β· π 810 Β· π₯ 5.7K Β· π¦ 650 Β· π 1.6K - 22% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/pytorch/serve) (π¨βπ» 200 Β· π 810 Β· π₯ 5.7K Β· π¦ 660 Β· π 1.6K - 23% open Β· β±οΈ 21.05.2024):
```
git clone https://github.com/pytorch/serve
```
-- [PyPi](https://pypi.org/project/torchserve) (π₯ 51K / month Β· π¦ 21 Β· β±οΈ 16.05.2024):
+- [PyPi](https://pypi.org/project/torchserve) (π₯ 52K / month Β· π¦ 21 Β· β±οΈ 16.05.2024):
```
pip install torchserve
```
@@ -5956,44 +5971,44 @@ _Libraries to serialize models to files, convert between a variety of model form
Core ML Tools (π₯34 Β· β 4.1K) - Core ML tools contain supporting tools for Core ML model.. BSD-3
-- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 170 Β· π 600 Β· π₯ 9.6K Β· π¦ 3.8K Β· π 1.4K - 22% open Β· β±οΈ 17.05.2024):
+- [GitHub](https://github.com/apple/coremltools) (π¨βπ» 170 Β· π 600 Β· π₯ 9.7K Β· π¦ 3.9K Β· π 1.4K - 22% open Β· β±οΈ 17.05.2024):
```
git clone https://github.com/apple/coremltools
```
-- [PyPi](https://pypi.org/project/coremltools) (π₯ 320K / month Β· π¦ 71 Β· β±οΈ 23.04.2024):
+- [PyPi](https://pypi.org/project/coremltools) (π₯ 340K / month Β· π¦ 71 Β· β±οΈ 23.04.2024):
```
pip install coremltools
```
-- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 57K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/coremltools) (π₯ 58K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge coremltools
```
hls4ml (π₯26 Β· β 1.1K) - Machine learning on FPGAs using HLS. Apache-2
+hls4ml (π₯27 Β· β 1.1K) - Machine learning on FPGAs using HLS. Apache-2
- [GitHub](https://github.com/fastmachinelearning/hls4ml) (π¨βπ» 60 Β· π 360 Β· π 410 - 38% open Β· β±οΈ 03.05.2024):
```
git clone https://github.com/fastmachinelearning/hls4ml
```
-- [PyPi](https://pypi.org/project/hls4ml) (π₯ 870 / month Β· β±οΈ 19.12.2023):
+- [PyPi](https://pypi.org/project/hls4ml) (π₯ 930 / month Β· β±οΈ 19.12.2023):
```
pip install hls4ml
```
-- [Conda](https://anaconda.org/conda-forge/hls4ml) (π₯ 7.6K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/hls4ml) (π₯ 7.7K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge hls4ml
```
Hummingbird (π₯25 Β· β 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
+Hummingbird (π₯25 Β· β 3.3K) - Hummingbird compiles trained ML models into tensor computation for.. MIT
-- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 40 Β· π 270 Β· π₯ 500 Β· π 320 - 18% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/microsoft/hummingbird) (π¨βπ» 40 Β· π 270 Β· π₯ 500 Β· π 320 - 18% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/microsoft/hummingbird
```
-- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 5.3K / month Β· π¦ 4 Β· β±οΈ 08.03.2024):
+- [PyPi](https://pypi.org/project/hummingbird-ml) (π₯ 5.2K / month Β· π¦ 4 Β· β±οΈ 08.03.2024):
```
pip install hummingbird-ml
```
@@ -6009,29 +6024,29 @@ _Libraries to serialize models to files, convert between a variety of model form
```
git clone https://github.com/nebuly-ai/nebullvm
```
-- [PyPi](https://pypi.org/project/nebullvm) (π₯ 710 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
+- [PyPi](https://pypi.org/project/nebullvm) (π₯ 630 / month Β· π¦ 2 Β· β±οΈ 18.06.2023):
```
pip install nebullvm
```
tfdeploy (π₯15 Β· β 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3
+tfdeploy (π₯16 Β· β 350) - Deploy tensorflow graphs for fast evaluation and export to.. BSD-3
- [GitHub](https://github.com/riga/tfdeploy) (π¨βπ» 4 Β· π 38 Β· π 34 - 32% open Β· β±οΈ 25.02.2024):
```
git clone https://github.com/riga/tfdeploy
```
-- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 74 / month Β· β±οΈ 30.03.2017):
+- [PyPi](https://pypi.org/project/tfdeploy) (π₯ 58 / month Β· β±οΈ 30.03.2017):
```
pip install tfdeploy
```
Show 10 hidden projects...
-- mmdnn (π₯25 Β· β 5.8K Β· π) - MMdnn is a set of tools to help users inter-operate among different deep.. MIT
-- m2cgen (π₯25 Β· β 2.7K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
-- cortex (π₯23 Β· β 8K Β· π) - Production infrastructure for machine learning at scale. Apache-2
-- sklearn-porter (π₯23 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 MIT
+- m2cgen (π₯25 Β· β 2.7K Β· π) - Transform ML models into a native code (Java, C, Python, Go,.. MIT
+- sklearn-porter (π₯24 Β· β 1.3K Β· π) - Transpile trained scikit-learn estimators to C, Java,.. BSD-3 Apache-2
- OMLT (π₯20 Β· β 250) - Represent trained machine learning models as Pyomo optimization formulations. BSD-3
- pytorch2keras (π₯19 Β· β 850 Β· π) - PyTorch to Keras model convertor. MIT
- modelkit (π₯19 Β· β 150) - Toolkit for developing and maintaining ML models. MIT
@@ -6047,25 +6062,25 @@ _Libraries to serialize models to files, convert between a variety of model form
_Libraries to visualize, explain, debug, evaluate, and interpret machine learning models._
-shap (π₯43 Β· β 22K) - A game theoretic approach to explain the output of any machine learning model. MIT
+shap (π₯42 Β· β 22K Β· π) - A game theoretic approach to explain the output of any machine learning.. MIT
-- [GitHub](https://github.com/shap/shap) (π¨βπ» 240 Β· π 3.2K Β· π¦ 18K Β· π 2.5K - 33% open Β· β±οΈ 14.05.2024):
+- [GitHub](https://github.com/shap/shap) (π¨βπ» 240 Β· π 3.2K Β· π¦ 18K Β· π 2.5K - 32% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/slundberg/shap
```
-- [PyPi](https://pypi.org/project/shap) (π₯ 6.9M / month Β· π¦ 680 Β· β±οΈ 07.05.2024):
+- [PyPi](https://pypi.org/project/shap) (π₯ 6.8M / month Β· π¦ 680 Β· β±οΈ 07.05.2024):
```
pip install shap
```
-- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 2.8M Β· β±οΈ 08.05.2024):
+- [Conda](https://anaconda.org/conda-forge/shap) (π₯ 2.9M Β· β±οΈ 08.05.2024):
```
conda install -c conda-forge shap
```
arviz (π₯36 Β· β 1.5K) - Exploratory analysis of Bayesian models with Python. Apache-2
-- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 160 Β· π 370 Β· π₯ 140 Β· π¦ 6.5K Β· π 850 - 20% open Β· β±οΈ 10.05.2024):
+- [GitHub](https://github.com/arviz-devs/arviz) (π¨βπ» 160 Β· π 370 Β· π₯ 140 Β· π¦ 6.6K Β· π 850 - 20% open Β· β±οΈ 10.05.2024):
```
git clone https://github.com/arviz-devs/arviz
@@ -6081,31 +6096,31 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
Netron (π₯34 Β· β 26K) - Visualizer for neural network, deep learning and machine learning.. MIT
-- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.7K Β· π₯ 110K Β· π¦ 12 Β· π 1.1K - 2% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/lutzroeder/netron) (π¨βπ» 2 Β· π 2.7K Β· π₯ 130K Β· π¦ 12 Β· π 1.1K - 2% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/lutzroeder/netron
```
-- [PyPi](https://pypi.org/project/netron) (π₯ 21K / month Β· π¦ 78 Β· β±οΈ 18.05.2024):
+- [PyPi](https://pypi.org/project/netron) (π₯ 22K / month Β· π¦ 79 Β· β±οΈ 28.05.2024):
```
pip install netron
```
InterpretML (π₯33 Β· β 6.1K) - Fit interpretable models. Explain blackbox machine learning. MIT
-- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 44 Β· π 720 Β· π¦ 680 Β· π 430 - 23% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/interpretml/interpret) (π¨βπ» 44 Β· π 720 Β· π¦ 680 Β· π 430 - 23% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/interpretml/interpret
```
-- [PyPi](https://pypi.org/project/interpret) (π₯ 80K / month Β· π¦ 45 Β· β±οΈ 14.04.2024):
+- [PyPi](https://pypi.org/project/interpret) (π₯ 77K / month Β· π¦ 45 Β· β±οΈ 14.04.2024):
```
pip install interpret
```
Captum (π₯33 Β· β 4.6K) - Model interpretability and understanding for PyTorch. BSD-3
-- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 110 Β· π 460 Β· π¦ 2.1K Β· π 550 - 39% open Β· β±οΈ 07.05.2024):
+- [GitHub](https://github.com/pytorch/captum) (π¨βπ» 110 Β· π 460 Β· π¦ 2.1K Β· π 550 - 38% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/pytorch/captum
@@ -6114,7 +6129,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install captum
```
-- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 25K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/captum) (π₯ 26K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge captum
```
@@ -6126,35 +6141,35 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/oegedijk/explainerdashboard
```
-- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 79K / month Β· π¦ 10 Β· β±οΈ 18.03.2024):
+- [PyPi](https://pypi.org/project/explainerdashboard) (π₯ 77K / month Β· π¦ 10 Β· β±οΈ 18.03.2024):
```
pip install explainerdashboard
```
-- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 45K Β· β±οΈ 18.03.2024):
+- [Conda](https://anaconda.org/conda-forge/explainerdashboard) (π₯ 46K Β· β±οΈ 18.03.2024):
```
conda install -c conda-forge explainerdashboard
```
evaluate (π₯32 Β· β 1.8K) - Evaluate: A library for easily evaluating machine learning models.. Apache-2
-- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 130 Β· π 220 Β· π¦ 9.3K Β· π 310 - 57% open Β· β±οΈ 30.04.2024):
+- [GitHub](https://github.com/huggingface/evaluate) (π¨βπ» 130 Β· π 220 Β· π¦ 9.5K Β· π 310 - 57% open Β· β±οΈ 30.04.2024):
```
git clone https://github.com/huggingface/evaluate
```
-- [PyPi](https://pypi.org/project/evaluate) (π₯ 3M / month Β· π¦ 340 Β· β±οΈ 30.04.2024):
+- [PyPi](https://pypi.org/project/evaluate) (π₯ 2.8M / month Β· π¦ 340 Β· β±οΈ 30.04.2024):
```
pip install evaluate
```
DoWhy (π₯30 Β· β 6.8K) - DoWhy is a Python library for causal inference that supports explicit.. MIT
-- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 89 Β· π 900 Β· π₯ 35 Β· π¦ 370 Β· π 450 - 28% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/py-why/dowhy) (π¨βπ» 89 Β· π 900 Β· π₯ 35 Β· π¦ 370 Β· π 450 - 28% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/py-why/dowhy
```
-- [PyPi](https://pypi.org/project/dowhy) (π₯ 49K / month Β· π¦ 7 Β· β±οΈ 25.12.2023):
+- [PyPi](https://pypi.org/project/dowhy) (π₯ 47K / month Β· π¦ 7 Β· β±οΈ 25.12.2023):
```
pip install dowhy
```
@@ -6163,14 +6178,14 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge dowhy
```
shapash (π₯30 Β· β 2.6K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
+shapash (π₯30 Β· β 2.7K) - Shapash: User-friendly Explainability and Interpretability to.. Apache-2
- [GitHub](https://github.com/MAIF/shapash) (π¨βπ» 38 Β· π 320 Β· π¦ 160 Β· π 190 - 17% open Β· β±οΈ 06.05.2024):
```
git clone https://github.com/MAIF/shapash
```
-- [PyPi](https://pypi.org/project/shapash) (π₯ 7.1K / month Β· π¦ 4 Β· β±οΈ 06.05.2024):
+- [PyPi](https://pypi.org/project/shapash) (π₯ 6.9K / month Β· π¦ 4 Β· β±οΈ 06.05.2024):
```
pip install shapash
```
@@ -6191,6 +6206,18 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
conda install -c conda-forge pyldavis
```
responsible-ai-widgets (π₯30 Β· β 1.2K) - Responsible AI Toolbox is a suite of tools providing.. MIT
+
+- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 42 Β· π 320 Β· π¦ 100 Β· π 320 - 27% open Β· β±οΈ 21.05.2024):
+
+ ```
+ git clone https://github.com/microsoft/responsible-ai-toolbox
+ ```
+- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 9.2K / month Β· π¦ 6 Β· β±οΈ 20.05.2024):
+ ```
+ pip install raiwidgets
+ ```
+fairlearn (π₯29 Β· β 1.8K) - A Python package to assess and improve fairness of machine.. MIT
- [GitHub](https://github.com/fairlearn/fairlearn) (π¨βπ» 82 Β· π 390 Β· π¦ 3 Β· π 460 - 36% open Β· β±οΈ 22.05.2024):
@@ -6198,11 +6225,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/fairlearn/fairlearn
```
-- [PyPi](https://pypi.org/project/fairlearn) (π₯ 270K / month Β· π¦ 50 Β· β±οΈ 19.12.2023):
+- [PyPi](https://pypi.org/project/fairlearn) (π₯ 250K / month Β· π¦ 50 Β· β±οΈ 19.12.2023):
```
pip install fairlearn
```
-- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 32K Β· β±οΈ 20.12.2023):
+- [Conda](https://anaconda.org/conda-forge/fairlearn) (π₯ 33K Β· β±οΈ 20.12.2023):
```
conda install -c conda-forge fairlearn
```
@@ -6214,23 +6241,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/tensorflow/model-analysis
```
-- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 79K / month Β· π¦ 23 Β· β±οΈ 25.04.2024):
+- [PyPi](https://pypi.org/project/tensorflow-model-analysis) (π₯ 78K / month Β· π¦ 23 Β· β±οΈ 25.04.2024):
```
pip install tensorflow-model-analysis
```
responsible-ai-widgets (π₯29 Β· β 1.2K) - Responsible AI Toolbox is a suite of tools providing.. MIT
-
-- [GitHub](https://github.com/microsoft/responsible-ai-toolbox) (π¨βπ» 42 Β· π 320 Β· π¦ 99 Β· π 320 - 27% open Β· β±οΈ 21.05.2024):
-
- ```
- git clone https://github.com/microsoft/responsible-ai-toolbox
- ```
-- [PyPi](https://pypi.org/project/raiwidgets) (π₯ 6K / month Β· π¦ 6 Β· β±οΈ 20.05.2024):
- ```
- pip install raiwidgets
- ```
-dtreeviz (π₯28 Β· β 2.9K) - A python library for decision tree visualization and model interpretation. MIT
- [GitHub](https://github.com/parrt/dtreeviz) (π¨βπ» 26 Β· π 330 Β· π¦ 1.2K Β· π 200 - 32% open Β· β±οΈ 06.01.2024):
@@ -6238,11 +6253,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/parrt/dtreeviz
```
-- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 130K / month Β· π¦ 24 Β· β±οΈ 07.07.2022):
+- [PyPi](https://pypi.org/project/dtreeviz) (π₯ 140K / month Β· π¦ 24 Β· β±οΈ 07.07.2022):
```
pip install dtreeviz
```
-- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 70K Β· β±οΈ 13.07.2023):
+- [Conda](https://anaconda.org/conda-forge/dtreeviz) (π₯ 71K Β· β±οΈ 13.07.2023):
```
conda install -c conda-forge dtreeviz
```
@@ -6254,23 +6269,23 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/Trusted-AI/AIF360
```
-- [PyPi](https://pypi.org/project/aif360) (π₯ 49K / month Β· π¦ 26 Β· β±οΈ 08.04.2024):
+- [PyPi](https://pypi.org/project/aif360) (π₯ 44K / month Β· π¦ 26 Β· β±οΈ 08.04.2024):
```
pip install aif360
```
-- [Conda](https://anaconda.org/conda-forge/aif360) (π₯ 10K Β· β±οΈ 09.04.2024):
+- [Conda](https://anaconda.org/conda-forge/aif360) (π₯ 11K Β· β±οΈ 09.04.2024):
```
conda install -c conda-forge aif360
```
imodels (π₯28 Β· β 1.3K) - Interpretable ML package for concise, transparent, and accurate.. MIT
-- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 23 Β· π 120 Β· π¦ 72 Β· π 85 - 37% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/csinva/imodels) (π¨βπ» 24 Β· π 120 Β· π¦ 72 Β· π 85 - 37% open Β· β±οΈ 26.05.2024):
```
git clone https://github.com/csinva/imodels
```
-- [PyPi](https://pypi.org/project/imodels) (π₯ 72K / month Β· π¦ 9 Β· β±οΈ 22.05.2024):
+- [PyPi](https://pypi.org/project/imodels) (π₯ 70K / month Β· π¦ 9 Β· β±οΈ 23.05.2024):
```
pip install imodels
```
@@ -6282,53 +6297,53 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/DistrictDataLabs/yellowbrick
```
-- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 550K / month Β· π¦ 93 Β· β±οΈ 21.08.2022):
+- [PyPi](https://pypi.org/project/yellowbrick) (π₯ 540K / month Β· π¦ 93 Β· β±οΈ 21.08.2022):
```
pip install yellowbrick
```
-- [Conda](https://anaconda.org/conda-forge/yellowbrick) (π₯ 78K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/yellowbrick) (π₯ 79K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge yellowbrick
```
LIT (π₯27 Β· β 3.4K) - The Learning Interpretability Tool: Interactively analyze ML models to.. Apache-2
-- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 36 Β· π 340 Β· π¦ 32 Β· π 180 - 53% open Β· β±οΈ 17.04.2024):
+- [GitHub](https://github.com/PAIR-code/lit) (π¨βπ» 36 Β· π 340 Β· π¦ 34 Β· π 180 - 53% open Β· β±οΈ 17.04.2024):
```
git clone https://github.com/PAIR-code/lit
```
-- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 4.2K / month Β· π¦ 3 Β· β±οΈ 09.04.2024):
+- [PyPi](https://pypi.org/project/lit-nlp) (π₯ 3.6K / month Β· π¦ 3 Β· β±οΈ 09.04.2024):
```
pip install lit-nlp
```
-- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 72K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/lit-nlp) (π₯ 73K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge lit-nlp
```
aequitas (π₯26 Β· β 640) - Bias Auditing & Fair ML Toolkit. MIT
+CausalNex (π₯25 Β· β 2.2K) - A Python library that helps data scientists to infer.. Apache-2
-- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 21 Β· π 110 Β· π¦ 160 Β· π 100 - 54% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 40 Β· π 250 Β· π¦ 110 Β· π 140 - 15% open Β· β±οΈ 10.02.2024):
```
- git clone https://github.com/dssg/aequitas
+ git clone https://github.com/quantumblacklabs/causalnex
```
-- [PyPi](https://pypi.org/project/aequitas) (π₯ 37K / month Β· π¦ 7 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/causalnex) (π₯ 2.2K / month Β· π¦ 4 Β· β±οΈ 22.06.2023):
```
- pip install aequitas
+ pip install causalnex
```
CausalNex (π₯25 Β· β 2.2K) - A Python library that helps data scientists to infer.. Apache-2
+aequitas (π₯25 Β· β 640) - Bias Auditing & Fair ML Toolkit. MIT
-- [GitHub](https://github.com/mckinsey/causalnex) (π¨βπ» 40 Β· π 250 Β· π¦ 110 Β· π 140 - 14% open Β· β±οΈ 10.02.2024):
+- [GitHub](https://github.com/dssg/aequitas) (π¨βπ» 21 Β· π 110 Β· π¦ 160 Β· π 100 - 54% open Β· β±οΈ 13.05.2024):
```
- git clone https://github.com/quantumblacklabs/causalnex
+ git clone https://github.com/dssg/aequitas
```
-- [PyPi](https://pypi.org/project/causalnex) (π₯ 2.4K / month Β· π¦ 4 Β· β±οΈ 22.06.2023):
+- [PyPi](https://pypi.org/project/aequitas) (π₯ 32K / month Β· π¦ 7 Β· β±οΈ 30.01.2024):
```
- pip install causalnex
+ pip install aequitas
```
checklist (π₯24 Β· β 2K Β· π€) - Beyond Accuracy: Behavioral Testing of NLP models with CheckList. MIT
@@ -6342,7 +6357,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
pip install checklist
```
-- [Conda](https://anaconda.org/conda-forge/checklist) (π₯ 7.1K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/checklist) (π₯ 7.2K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge checklist
```
@@ -6354,7 +6369,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/albermax/innvestigate
```
-- [PyPi](https://pypi.org/project/innvestigate) (π₯ 860 / month Β· π¦ 2 Β· β±οΈ 12.10.2023):
+- [PyPi](https://pypi.org/project/innvestigate) (π₯ 900 / month Β· π¦ 2 Β· β±οΈ 12.10.2023):
```
pip install innvestigate
```
@@ -6366,7 +6381,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/Trusted-AI/AIX360
```
-- [PyPi](https://pypi.org/project/aix360) (π₯ 630 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
+- [PyPi](https://pypi.org/project/aix360) (π₯ 520 / month Β· π¦ 1 Β· β±οΈ 31.07.2023):
```
pip install aix360
```
@@ -6378,7 +6393,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/philipperemy/keract
```
-- [PyPi](https://pypi.org/project/keract) (π₯ 4.5K / month Β· π¦ 9 Β· β±οΈ 25.09.2022):
+- [PyPi](https://pypi.org/project/keract) (π₯ 4.8K / month Β· π¦ 9 Β· β±οΈ 25.09.2022):
```
pip install keract
```
@@ -6390,7 +6405,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/PAIR-code/what-if-tool
```
-- [PyPi](https://pypi.org/project/witwidget) (π₯ 4.2K / month Β· π¦ 6 Β· β±οΈ 12.10.2021):
+- [PyPi](https://pypi.org/project/witwidget) (π₯ 3.5K / month Β· π¦ 6 Β· β±οΈ 12.10.2021):
```
pip install witwidget
```
@@ -6410,11 +6425,11 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/jalammar/ecco
```
-- [PyPi](https://pypi.org/project/ecco) (π₯ 330 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
+- [PyPi](https://pypi.org/project/ecco) (π₯ 300 / month Β· π¦ 1 Β· β±οΈ 09.01.2022):
```
pip install ecco
```
-- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 4.6K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/ecco) (π₯ 4.7K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge ecco
```
@@ -6438,33 +6453,33 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/tensorflow/model-card-toolkit
```
-- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 1.4K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
+- [PyPi](https://pypi.org/project/model-card-toolkit) (π₯ 1.3K / month Β· π¦ 1 Β· β±οΈ 28.04.2022):
```
pip install model-card-toolkit
```
fairness-indicators (π₯20 Β· β 330) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
+LOFO (π₯19 Β· β 810) - Leave One Feature Out Importance. MIT
-- [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 36 Β· π 77 Β· π 35 - 74% open Β· β±οΈ 26.04.2024):
+- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 6 Β· π 82 Β· π¦ 28 Β· π 26 - 11% open Β· β±οΈ 16.01.2024):
```
- git clone https://github.com/tensorflow/fairness-indicators
+ git clone https://github.com/aerdem4/lofo-importance
```
-- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 1.2K / month Β· β±οΈ 26.04.2024):
+- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 4K / month Β· π¦ 4 Β· β±οΈ 16.01.2024):
```
- pip install fairness-indicators
+ pip install lofo-importance
```
LOFO (π₯19 Β· β 800) - Leave One Feature Out Importance. MIT
+fairness-indicators (π₯19 Β· β 330) - Tensorflows Fairness Evaluation and Visualization.. Apache-2
-- [GitHub](https://github.com/aerdem4/lofo-importance) (π¨βπ» 6 Β· π 81 Β· π¦ 28 Β· π 26 - 11% open Β· β±οΈ 16.01.2024):
+- [GitHub](https://github.com/tensorflow/fairness-indicators) (π¨βπ» 36 Β· π 77 Β· π 35 - 74% open Β· β±οΈ 26.04.2024):
```
- git clone https://github.com/aerdem4/lofo-importance
+ git clone https://github.com/tensorflow/fairness-indicators
```
-- [PyPi](https://pypi.org/project/lofo-importance) (π₯ 4.1K / month Β· π¦ 4 Β· β±οΈ 16.01.2024):
+- [PyPi](https://pypi.org/project/fairness-indicators) (π₯ 850 / month Β· β±οΈ 26.04.2024):
```
- pip install lofo-importance
+ pip install fairness-indicators
```
ExplainX.ai (π₯17 Β· β 390) - Explainable AI framework for data scientists. Explain & debug any.. MIT
@@ -6474,19 +6489,19 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
```
git clone https://github.com/explainX/explainx
```
-- [PyPi](https://pypi.org/project/explainx) (π₯ 1.4K / month Β· β±οΈ 04.02.2021):
+- [PyPi](https://pypi.org/project/explainx) (π₯ 1.2K / month Β· β±οΈ 04.02.2021):
```
pip install explainx
```
FlashTorch (π₯16 Β· β 720 Β· π€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT
+FlashTorch (π₯15 Β· β 720 Β· π€) - Visualization toolkit for neural networks in PyTorch! Demo --. MIT
- [GitHub](https://github.com/MisaOgura/flashtorch) (π¨βπ» 2 Β· π 87 Β· π¦ 17 Β· π 32 - 31% open Β· β±οΈ 21.09.2023):
```
git clone https://github.com/MisaOgura/flashtorch
```
-- [PyPi](https://pypi.org/project/flashtorch) (π₯ 300 / month Β· β±οΈ 29.05.2020):
+- [PyPi](https://pypi.org/project/flashtorch) (π₯ 100 / month Β· β±οΈ 29.05.2020):
```
pip install flashtorch
```
@@ -6509,7 +6524,7 @@ _Libraries to visualize, explain, debug, evaluate, and interpret machine learnin
- Deep Checks (π₯29 Β· β 3.4K) - Deepchecks: Tests for Continuous Validation of ML Models &.. βοΈAGPL-3.0
- scikit-plot (π₯29 Β· β 2.4K Β· π) - An intuitive library to add plotting functionality to.. MIT βοΈIntel
-- DALEX (π₯28 Β· β 1.3K) - moDel Agnostic Language for Exploration and eXplanation. βοΈGPL-3.0
+- DALEX (π₯27 Β· β 1.3K) - moDel Agnostic Language for Exploration and eXplanation. βοΈGPL-3.0
- eli5 (π₯26 Β· β 2.7K Β· π) - A library for debugging/inspecting machine learning classifiers and.. MIT
- keras-vis (π₯25 Β· β 3K Β· π) - Neural network visualization toolkit for keras. MIT Apache-2 Milvus (π₯41 Β· β 27K) - A cloud-native vector database, storage for next generation AI.. Apache-2
+Milvus (π₯41 Β· β 28K) - A cloud-native vector database, storage for next generation AI.. Apache-2
-- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 270 Β· π 2.6K Β· π₯ 220K Β· π 11K - 6% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/milvus-io/milvus) (π¨βπ» 280 Β· π 2.6K Β· π₯ 220K Β· π 11K - 6% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/milvus-io/milvus
@@ -6548,14 +6563,14 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
pip install pymilvus
```
-- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 15M Β· β 44 Β· β±οΈ 23.05.2024):
+- [Docker Hub](https://hub.docker.com/r/milvusdb/milvus) (π₯ 16M Β· β 44 Β· β±οΈ 30.05.2024):
```
docker pull milvusdb/milvus
```
Faiss (π₯40 Β· β 29K Β· π) - A library for efficient similarity search and clustering of dense vectors. MIT
+Faiss (π₯40 Β· β 29K) - A library for efficient similarity search and clustering of dense vectors. MIT
-- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 180 Β· π 3.4K Β· π¦ 3.7K Β· π 2.4K - 18% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/facebookresearch/faiss) (π¨βπ» 180 Β· π 3.4K Β· π¦ 3.7K Β· π 2.4K - 18% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/facebookresearch/faiss
@@ -6576,11 +6591,11 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/spotify/annoy
```
-- [PyPi](https://pypi.org/project/annoy) (π₯ 1.2M / month Β· π¦ 190 Β· β±οΈ 14.06.2023):
+- [PyPi](https://pypi.org/project/annoy) (π₯ 1.1M / month Β· π¦ 190 Β· β±οΈ 14.06.2023):
```
pip install annoy
```
-- [Conda](https://anaconda.org/conda-forge/python-annoy) (π₯ 410K Β· β±οΈ 02.05.2024):
+- [Conda](https://anaconda.org/conda-forge/python-annoy) (π₯ 420K Β· β±οΈ 02.05.2024):
```
conda install -c conda-forge python-annoy
```
@@ -6592,7 +6607,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/nmslib/hnswlib
```
-- [PyPi](https://pypi.org/project/hnswlib) (π₯ 920K / month Β· π¦ 120 Β· β±οΈ 03.12.2023):
+- [PyPi](https://pypi.org/project/hnswlib) (π₯ 900K / month Β· π¦ 120 Β· β±οΈ 03.12.2023):
```
pip install hnswlib
```
@@ -6603,12 +6618,12 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
USearch (π₯30 Β· β 1.8K) - Fast Open-Source Search & Clustering engine for Vectors & Strings in.. Apache-2
-- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 36 Β· π 93 Β· π₯ 1.3K Β· π¦ 74 Β· π 110 - 30% open Β· β±οΈ 29.04.2024):
+- [GitHub](https://github.com/unum-cloud/usearch) (π¨βπ» 36 Β· π 96 Β· π₯ 1.3K Β· π¦ 78 Β· π 110 - 31% open Β· β±οΈ 29.04.2024):
```
git clone https://github.com/unum-cloud/usearch
```
-- [PyPi](https://pypi.org/project/usearch) (π₯ 60K / month Β· π¦ 6 Β· β±οΈ 29.04.2024):
+- [PyPi](https://pypi.org/project/usearch) (π₯ 63K / month Β· π¦ 6 Β· β±οΈ 29.04.2024):
```
pip install usearch
```
@@ -6628,11 +6643,11 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/lmcinnes/pynndescent
```
-- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.4M / month Β· π¦ 140 Β· β±οΈ 29.03.2024):
+- [PyPi](https://pypi.org/project/pynndescent) (π₯ 1.5M / month Β· π¦ 140 Β· β±οΈ 29.03.2024):
```
pip install pynndescent
```
-- [Conda](https://anaconda.org/conda-forge/pynndescent) (π₯ 1.8M Β· β±οΈ 29.03.2024):
+- [Conda](https://anaconda.org/conda-forge/pynndescent) (π₯ 1.9M Β· β±οΈ 29.03.2024):
```
conda install -c conda-forge pynndescent
```
@@ -6644,7 +6659,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/yahoojapan/NGT
```
-- [PyPi](https://pypi.org/project/ngt) (π₯ 5.6K / month Β· π¦ 8 Β· β±οΈ 06.12.2023):
+- [PyPi](https://pypi.org/project/ngt) (π₯ 5.4K / month Β· π¦ 8 Β· β±οΈ 06.12.2023):
```
pip install ngt
```
@@ -6656,7 +6671,7 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
```
git clone https://github.com/kakao/n2
```
-- [PyPi](https://pypi.org/project/n2) (π₯ 280 / month Β· π¦ 4 Β· β±οΈ 16.10.2020):
+- [PyPi](https://pypi.org/project/n2) (π₯ 260 / month Β· π¦ 4 Β· β±οΈ 16.10.2020):
```
pip install n2
```
@@ -6676,41 +6691,41 @@ _Libraries for Approximate Nearest Neighbor Search and Vector Indexing/Similarit
_Libraries providing capabilities for probabilistic programming/reasoning, bayesian inference, gaussian processes, or statistics._
-PyMC3 (π₯40 Β· β 8.2K Β· π) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
+PyMC3 (π₯41 Β· β 8.2K) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
-- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 490 Β· π 1.9K Β· π₯ 1.9K Β· π 3.3K - 8% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/pymc-devs/pymc) (π¨βπ» 490 Β· π 1.9K Β· π₯ 1.9K Β· π¦ 3.4K Β· π 3.3K - 8% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/pymc-devs/pymc
```
-- [PyPi](https://pypi.org/project/pymc3) (π₯ 860K / month Β· π¦ 190 Β· β±οΈ 15.03.2022):
+- [PyPi](https://pypi.org/project/pymc3) (π₯ 870K / month Β· π¦ 190 Β· β±οΈ 15.03.2022):
```
pip install pymc3
```
-- [Conda](https://anaconda.org/conda-forge/pymc3) (π₯ 560K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pymc3) (π₯ 570K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge pymc3
```
tensorflow-probability (π₯38 Β· β 4.1K) - Probabilistic reasoning and statistical analysis in.. Apache-2
-- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 490 Β· π 1.1K Β· π 1.4K - 47% open Β· β±οΈ 15.05.2024):
+- [GitHub](https://github.com/tensorflow/probability) (π¨βπ» 490 Β· π 1.1K Β· π 1.4K - 47% open Β· β±οΈ 24.05.2024):
```
git clone https://github.com/tensorflow/probability
```
-- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 4M / month Β· π¦ 560 Β· β±οΈ 12.03.2024):
+- [PyPi](https://pypi.org/project/tensorflow-probability) (π₯ 3.7M / month Β· π¦ 570 Β· β±οΈ 12.03.2024):
```
pip install tensorflow-probability
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 130K Β· β±οΈ 09.01.2024):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-probability) (π₯ 130K Β· β±οΈ 27.05.2024):
```
conda install -c conda-forge tensorflow-probability
```
Pyro (π₯34 Β· β 8.4K) - Deep universal probabilistic programming with Python and PyTorch. Apache-2
-- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 160 Β· π 990 Β· π 1.1K - 23% open Β· β±οΈ 07.05.2024):
+- [GitHub](https://github.com/pyro-ppl/pyro) (π¨βπ» 160 Β· π 990 Β· π 1.1K - 23% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/pyro-ppl/pyro
@@ -6719,19 +6734,19 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
pip install pyro-ppl
```
-- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (π₯ 160K Β· β±οΈ 20.02.2024):
+- [Conda](https://anaconda.org/conda-forge/pyro-ppl) (π₯ 170K Β· β±οΈ 20.02.2024):
```
conda install -c conda-forge pyro-ppl
```
pgmpy (π₯32 Β· β 2.6K) - Python Library for learning (Structure and Parameter), inference.. MIT
-- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 130 Β· π 690 Β· π₯ 340 Β· π¦ 970 Β· π 900 - 30% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/pgmpy/pgmpy) (π¨βπ» 130 Β· π 690 Β· π₯ 340 Β· π¦ 1K Β· π 900 - 30% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/pgmpy/pgmpy
```
-- [PyPi](https://pypi.org/project/pgmpy) (π₯ 54K / month Β· π¦ 43 Β· β±οΈ 08.03.2024):
+- [PyPi](https://pypi.org/project/pgmpy) (π₯ 52K / month Β· π¦ 43 Β· β±οΈ 08.03.2024):
```
pip install pgmpy
```
@@ -6759,11 +6774,11 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/hmmlearn/hmmlearn
```
-- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 190K / month Β· π¦ 78 Β· β±οΈ 02.03.2024):
+- [PyPi](https://pypi.org/project/hmmlearn) (π₯ 190K / month Β· π¦ 79 Β· β±οΈ 02.03.2024):
```
pip install hmmlearn
```
-- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 220K Β· β±οΈ 22.05.2024):
+- [Conda](https://anaconda.org/conda-forge/hmmlearn) (π₯ 230K Β· β±οΈ 22.05.2024):
```
conda install -c conda-forge hmmlearn
```
@@ -6775,18 +6790,18 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/dfm/emcee
```
-- [PyPi](https://pypi.org/project/emcee) (π₯ 160K / month Β· π¦ 390 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/emcee) (π₯ 140K / month Β· π¦ 390 Β· β±οΈ 19.04.2024):
```
pip install emcee
```
-- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 330K Β· β±οΈ 22.04.2024):
+- [Conda](https://anaconda.org/conda-forge/emcee) (π₯ 340K Β· β±οΈ 22.04.2024):
```
conda install -c conda-forge emcee
```
patsy (π₯31 Β· β 920) - Describing statistical models in Python using symbolic formulas. BSD-2
+patsy (π₯31 Β· β 930) - Describing statistical models in Python using symbolic formulas. BSD-2
-- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 19 Β· π 100 Β· π¦ 96K Β· π 150 - 47% open Β· β±οΈ 04.01.2024):
+- [GitHub](https://github.com/pydata/patsy) (π¨βπ» 19 Β· π 100 Β· π¦ 97K Β· π 150 - 47% open Β· β±οΈ 04.01.2024):
```
git clone https://github.com/pydata/patsy
@@ -6807,7 +6822,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/SALib/SALib
```
-- [PyPi](https://pypi.org/project/salib) (π₯ 180K / month Β· π¦ 120 Β· β±οΈ 22.04.2024):
+- [PyPi](https://pypi.org/project/salib) (π₯ 170K / month Β· π¦ 120 Β· β±οΈ 22.04.2024):
```
pip install salib
```
@@ -6818,12 +6833,12 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
pomegranate (π₯30 Β· β 3.3K) - Fast, flexible and easy to use probabilistic modelling in Python. MIT
-- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 73 Β· π 570 Β· π¦ 1.1K Β· π 760 - 5% open Β· β±οΈ 11.03.2024):
+- [GitHub](https://github.com/jmschrei/pomegranate) (π¨βπ» 73 Β· π 570 Β· π¦ 1.1K Β· π 760 - 6% open Β· β±οΈ 11.03.2024):
```
git clone https://github.com/jmschrei/pomegranate
```
-- [PyPi](https://pypi.org/project/pomegranate) (π₯ 37K / month Β· π¦ 54 Β· β±οΈ 11.03.2024):
+- [PyPi](https://pypi.org/project/pomegranate) (π₯ 33K / month Β· π¦ 54 Β· β±οΈ 11.03.2024):
```
pip install pomegranate
```
@@ -6832,14 +6847,14 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge pomegranate
```
GPflow (π₯29 Β· β 1.8K) - Gaussian processes in TensorFlow. Apache-2
+GPflow (π₯30 Β· β 1.8K) - Gaussian processes in TensorFlow. Apache-2
- [GitHub](https://github.com/GPflow/GPflow) (π¨βπ» 84 Β· π 440 Β· π¦ 660 Β· π 830 - 17% open Β· β±οΈ 06.05.2024):
```
git clone https://github.com/GPflow/GPflow
```
-- [PyPi](https://pypi.org/project/gpflow) (π₯ 58K / month Β· π¦ 37 Β· β±οΈ 07.02.2024):
+- [PyPi](https://pypi.org/project/gpflow) (π₯ 61K / month Β· π¦ 37 Β· β±οΈ 07.02.2024):
```
pip install gpflow
```
@@ -6871,7 +6886,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/uber/orbit
```
-- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 20K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
+- [PyPi](https://pypi.org/project/orbit-ml) (π₯ 21K / month Β· π¦ 1 Β· β±οΈ 01.04.2024):
```
pip install orbit-ml
```
@@ -6883,7 +6898,7 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
```
git clone https://github.com/bambinos/bambi
```
-- [PyPi](https://pypi.org/project/bambi) (π₯ 23K / month Β· π¦ 10 Β· β±οΈ 25.10.2023):
+- [PyPi](https://pypi.org/project/bambi) (π₯ 21K / month Β· π¦ 10 Β· β±οΈ 25.10.2023):
```
pip install bambi
```
@@ -6892,41 +6907,41 @@ _Libraries providing capabilities for probabilistic programming/reasoning, bayes
conda install -c conda-forge bambi
```
scikit-posthocs (π₯24 Β· β 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
+Baal (π₯24 Β· β 840) - Bayesian active learning library for research and industrial usecases. Apache-2
-- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 14 Β· π 39 Β· π₯ 46 Β· π¦ 710 Β· π 54 - 11% open Β· β±οΈ 18.02.2024):
+- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 23 Β· π 83 Β· π¦ 56 Β· π 110 - 21% open Β· β±οΈ 28.05.2024):
```
- git clone https://github.com/maximtrp/scikit-posthocs
+ git clone https://github.com/baal-org/baal
```
-- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 85K / month Β· π¦ 46 Β· β±οΈ 18.02.2024):
+- [PyPi](https://pypi.org/project/baal) (π₯ 4.6K / month Β· π¦ 1 Β· β±οΈ 04.04.2024):
```
- pip install scikit-posthocs
+ pip install baal
```
-- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (π₯ 930K Β· β±οΈ 19.02.2024):
+- [Conda](https://anaconda.org/conda-forge/baal) (π₯ 8.4K Β· β±οΈ 12.06.2023):
```
- conda install -c conda-forge scikit-posthocs
+ conda install -c conda-forge baal
```
Baal (π₯23 Β· β 840) - Bayesian active learning library for research and industrial usecases. Apache-2
+scikit-posthocs (π₯24 Β· β 320) - Multiple Pairwise Comparisons (Post Hoc) Tests in Python. MIT
-- [GitHub](https://github.com/baal-org/baal) (π¨βπ» 21 Β· π 83 Β· π¦ 56 Β· π 110 - 24% open Β· β±οΈ 13.05.2024):
+- [GitHub](https://github.com/maximtrp/scikit-posthocs) (π¨βπ» 14 Β· π 39 Β· π₯ 46 Β· π¦ 710 Β· π 54 - 11% open Β· β±οΈ 18.02.2024):
```
- git clone https://github.com/baal-org/baal
+ git clone https://github.com/maximtrp/scikit-posthocs
```
-- [PyPi](https://pypi.org/project/baal) (π₯ 4.6K / month Β· π¦ 1 Β· β±οΈ 04.04.2024):
+- [PyPi](https://pypi.org/project/scikit-posthocs) (π₯ 87K / month Β· π¦ 46 Β· β±οΈ 18.02.2024):
```
- pip install baal
+ pip install scikit-posthocs
```
-- [Conda](https://anaconda.org/conda-forge/baal) (π₯ 8.3K Β· β±οΈ 12.06.2023):
+- [Conda](https://anaconda.org/conda-forge/scikit-posthocs) (π₯ 930K Β· β±οΈ 19.02.2024):
```
- conda install -c conda-forge baal
+ conda install -c conda-forge scikit-posthocs
```
Show 7 hidden projects...
-- pandas-ta (π₯31 Β· β 4.8K Β· π) - Technical Analysis Indicators - Pandas TA is an easy to use.. MIT MIT MIT
- pingouin (π₯30 Β· β 1.5K) - Statistical package in Python based on Pandas. βοΈGPL-3.0
- Edward (π₯28 Β· β 4.8K Β· π) - A probabilistic programming language in TensorFlow. Deep.. Apache-2 CuPy (π₯37 Β· β 7.9K) - NumPy & SciPy for GPU. MIT
-- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 360 Β· π 770 Β· π₯ 170K Β· π¦ 2.1K Β· π 2.2K - 25% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/cupy/cupy) (π¨βπ» 360 Β· π 780 Β· π₯ 170K Β· π¦ 2.1K Β· π 2.2K - 25% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/cupy/cupy
```
-- [PyPi](https://pypi.org/project/cupy) (π₯ 23K / month Β· π¦ 220 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/cupy) (π₯ 22K / month Β· π¦ 220 Β· β±οΈ 19.04.2024):
```
pip install cupy
```
-- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 3.6M Β· β±οΈ 29.04.2024):
+- [Conda](https://anaconda.org/conda-forge/cupy) (π₯ 3.7M Β· β±οΈ 29.04.2024):
```
conda install -c conda-forge cupy
```
@@ -7029,23 +7044,23 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
optimum (π₯34 Β· β 2.2K) - Accelerate training and inference of Transformers and Diffusers with.. Apache-2
-- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 100 Β· π 370 Β· π¦ 2.5K Β· π 740 - 46% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/huggingface/optimum) (π¨βπ» 100 Β· π 380 Β· π¦ 2.5K Β· π 750 - 47% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/huggingface/optimum
```
-- [PyPi](https://pypi.org/project/optimum) (π₯ 1.1M / month Β· π¦ 130 Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/optimum) (π₯ 1M / month Β· π¦ 140 Β· β±οΈ 29.05.2024):
```
pip install optimum
```
-- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 14K Β· β±οΈ 09.05.2024):
+- [Conda](https://anaconda.org/conda-forge/optimum) (π₯ 15K Β· β±οΈ 29.05.2024):
```
conda install -c conda-forge optimum
```
cuDF (π₯33 Β· β 7.5K) - cuDF - GPU DataFrame Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 280 Β· π 840 Β· π¦ 55 Β· π 6.4K - 17% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/rapidsai/cudf) (π¨βπ» 280 Β· π 840 Β· π¦ 55 Β· π 6.4K - 17% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/rapidsai/cudf
@@ -7057,42 +7072,42 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
cuML (π₯31 Β· β 4K) - cuML - RAPIDS Machine Learning Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 170 Β· π 500 Β· π 2.5K - 35% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/rapidsai/cuml) (π¨βπ» 170 Β· π 510 Β· π 2.5K - 35% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/rapidsai/cuml
```
-- [PyPi](https://pypi.org/project/cuml) (π₯ 3K / month Β· π¦ 13 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cuml) (π₯ 3.1K / month Β· π¦ 13 Β· β±οΈ 01.06.2020):
```
pip install cuml
```
PyCUDA (π₯30 Β· β 1.8K) - CUDA integration for Python, plus shiny features. MIT
+Apex (π₯30 Β· β 8.1K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
-- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 82 Β· π 280 Β· π¦ 2.9K Β· π 260 - 30% open Β· β±οΈ 08.05.2024):
+- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 130 Β· π 1.3K Β· π¦ 2.5K Β· π 1.2K - 57% open Β· β±οΈ 26.04.2024):
```
- git clone https://github.com/inducer/pycuda
- ```
-- [PyPi](https://pypi.org/project/pycuda) (π₯ 47K / month Β· π¦ 130 Β· β±οΈ 03.01.2024):
- ```
- pip install pycuda
+ git clone https://github.com/NVIDIA/apex
```
-- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 330K Β· β±οΈ 06.01.2024):
+- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 220K Β· β±οΈ 17.05.2024):
```
- conda install -c conda-forge pycuda
+ conda install -c conda-forge nvidia-apex
```
Apex (π₯29 Β· β 8.1K) - A PyTorch Extension: Tools for easy mixed precision and distributed.. BSD-3
+PyCUDA (π₯30 Β· β 1.8K) - CUDA integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/NVIDIA/apex) (π¨βπ» 130 Β· π 1.3K Β· π¦ 2.5K Β· π 1.2K - 57% open Β· β±οΈ 26.04.2024):
+- [GitHub](https://github.com/inducer/pycuda) (π¨βπ» 82 Β· π 280 Β· π¦ 2.9K Β· π 260 - 30% open Β· β±οΈ 08.05.2024):
```
- git clone https://github.com/NVIDIA/apex
+ git clone https://github.com/inducer/pycuda
```
-- [Conda](https://anaconda.org/conda-forge/nvidia-apex) (π₯ 210K Β· β±οΈ 17.05.2024):
+- [PyPi](https://pypi.org/project/pycuda) (π₯ 51K / month Β· π¦ 140 Β· β±οΈ 03.01.2024):
```
- conda install -c conda-forge nvidia-apex
+ pip install pycuda
+ ```
+- [Conda](https://anaconda.org/conda-forge/pycuda) (π₯ 340K Β· β±οΈ 06.01.2024):
+ ```
+ conda install -c conda-forge pycuda
```
gpustat (π₯29 Β· β 3.9K) - A simple command-line utility for querying and monitoring GPU status. MIT
@@ -7102,35 +7117,35 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
```
git clone https://github.com/wookayin/gpustat
```
-- [PyPi](https://pypi.org/project/gpustat) (π₯ 860K / month Β· π¦ 140 Β· β±οΈ 22.08.2023):
+- [PyPi](https://pypi.org/project/gpustat) (π₯ 810K / month Β· π¦ 140 Β· β±οΈ 22.08.2023):
```
pip install gpustat
```
-- [Conda](https://anaconda.org/conda-forge/gpustat) (π₯ 280K Β· β±οΈ 23.08.2023):
+- [Conda](https://anaconda.org/conda-forge/gpustat) (π₯ 290K Β· β±οΈ 23.08.2023):
```
conda install -c conda-forge gpustat
```
ArrayFire (π₯27 Β· β 4.4K) - ArrayFire: a general purpose GPU library. BSD-3
-- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 88 Β· π 530 Β· π₯ 6.1K Β· π 1.7K - 20% open Β· β±οΈ 04.04.2024):
+- [GitHub](https://github.com/arrayfire/arrayfire) (π¨βπ» 90 Β· π 530 Β· π₯ 6.1K Β· π 1.7K - 20% open Β· β±οΈ 04.04.2024):
```
git clone https://github.com/arrayfire/arrayfire
```
-- [PyPi](https://pypi.org/project/arrayfire) (π₯ 1.5K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
+- [PyPi](https://pypi.org/project/arrayfire) (π₯ 1.7K / month Β· π¦ 10 Β· β±οΈ 22.02.2022):
```
pip install arrayfire
```
cuGraph (π₯27 Β· β 1.6K) - cuGraph - RAPIDS Graph Analytics Library. Apache-2
-- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 110 Β· π 290 Β· π¦ 2 Β· π 1.8K - 17% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/rapidsai/cugraph) (π¨βπ» 120 Β· π 290 Β· π¦ 2 Β· π 1.8K - 17% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/rapidsai/cugraph
```
-- [PyPi](https://pypi.org/project/cugraph) (π₯ 210 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
+- [PyPi](https://pypi.org/project/cugraph) (π₯ 240 / month Β· π¦ 4 Β· β±οΈ 01.06.2020):
```
pip install cugraph
```
@@ -7141,7 +7156,7 @@ _Libraries that require and make use of CUDA/GPU or other accelerator hardware c
DALI (π₯25 Β· β 4.9K) - A GPU-accelerated library containing highly optimized building blocks.. Apache-2
-- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 91 Β· π 600 Β· π 1.6K - 13% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/NVIDIA/DALI) (π¨βπ» 92 Β· π 600 Β· π 1.6K - 13% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/NVIDIA/DALI
@@ -7154,33 +7169,33 @@ _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) (π₯ 990 / month Β· π¦ 23 Β· β±οΈ 27.05.2019):
+- [PyPi](https://pypi.org/project/scikit-cuda) (π₯ 930 / month Β· π¦ 23 Β· β±οΈ 27.05.2019):
```
pip install scikit-cuda
```
Merlin (π₯21 Β· β 690) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
+Vulkan Kompute (π₯21 Β· β 1.5K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
-- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (π¨βπ» 32 Β· π 110 Β· π 450 - 45% open Β· β±οΈ 25.04.2024):
+- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 26 Β· π 120 Β· π₯ 500 Β· π 210 - 33% open Β· β±οΈ 29.05.2024):
```
- git clone https://github.com/NVIDIA-Merlin/Merlin
+ git clone https://github.com/KomputeProject/kompute
```
-- [PyPi](https://pypi.org/project/merlin-core) (π₯ 8.5K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/kp) (π₯ 120 / month Β· β±οΈ 20.01.2024):
```
- pip install merlin-core
+ pip install kp
```
Vulkan Kompute (π₯20 Β· β 1.5K) - General purpose GPU compute framework built on Vulkan to.. Apache-2
+Merlin (π₯20 Β· β 700) - NVIDIA Merlin is an open source library providing end-to-end GPU-.. Apache-2
-- [GitHub](https://github.com/KomputeProject/kompute) (π¨βπ» 24 Β· π 120 Β· π₯ 500 Β· π 210 - 33% open Β· β±οΈ 25.02.2024):
+- [GitHub](https://github.com/NVIDIA-Merlin/Merlin) (π¨βπ» 32 Β· π 110 Β· π 450 - 45% open Β· β±οΈ 25.04.2024):
```
- git clone https://github.com/KomputeProject/kompute
+ git clone https://github.com/NVIDIA-Merlin/Merlin
```
-- [PyPi](https://pypi.org/project/kp) (π₯ 140 / month Β· β±οΈ 20.01.2024):
+- [PyPi](https://pypi.org/project/merlin-core) (π₯ 8.1K / month Β· π¦ 1 Β· β±οΈ 29.08.2023):
```
- pip install kp
+ pip install merlin-core
```
cuSignal (π₯16 Β· β 710 Β· π€) - GPU accelerated signal processing. Apache-2
@@ -7210,28 +7225,28 @@ _Libraries that extend TensorFlow with additional capabilities._
TensorFlow Datasets (π₯40 Β· β 4.2K) - TFDS is a collection of datasets ready to use with.. Apache-2
-- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 310 Β· π 1.5K Β· π¦ 18K Β· π 1.4K - 48% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/tensorflow/datasets) (π¨βπ» 310 Β· π 1.5K Β· π¦ 18K Β· π 1.4K - 48% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/tensorflow/datasets
```
-- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 4.4M / month Β· π¦ 300 Β· β±οΈ 18.12.2023):
+- [PyPi](https://pypi.org/project/tensorflow-datasets) (π₯ 4M / month Β· π¦ 310 Β· β±οΈ 30.05.2024):
```
pip install tensorflow-datasets
```
-- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (π₯ 29K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/tensorflow-datasets) (π₯ 30K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge tensorflow-datasets
```
tensorflow-hub (π₯34 Β· β 3.4K) - A library for transfer learning by reusing parts of.. Apache-2
+tensorflow-hub (π₯35 Β· β 3.4K) - A library for transfer learning by reusing parts of.. Apache-2
-- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 110 Β· π 1.7K Β· π 700 - 1% open Β· β±οΈ 08.04.2024):
+- [GitHub](https://github.com/tensorflow/hub) (π¨βπ» 110 Β· π 1.7K Β· π 700 - 1% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/tensorflow/hub
```
-- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 5.4M / month Β· π¦ 290 Β· β±οΈ 30.01.2024):
+- [PyPi](https://pypi.org/project/tensorflow-hub) (π₯ 5.2M / month Β· π¦ 290 Β· β±οΈ 30.01.2024):
```
pip install tensorflow-hub
```
@@ -7259,45 +7274,45 @@ _Libraries that extend TensorFlow with additional capabilities._
```
git clone https://github.com/tensorflow/model-optimization
```
-- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 780K / month Β· π¦ 43 Β· β±οΈ 08.02.2024):
+- [PyPi](https://pypi.org/project/tensorflow-model-optimization) (π₯ 810K / month Β· π¦ 43 Β· β±οΈ 08.02.2024):
```
pip install tensorflow-model-optimization
```
TFX (π₯32 Β· β 2.1K) - TFX is an end-to-end platform for deploying production ML pipelines. Apache-2
-- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 180 Β· π 690 Β· π 1.1K - 21% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/tensorflow/tfx) (π¨βπ» 190 Β· π 690 Β· π 1.1K - 21% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/tensorflow/tfx
```
-- [PyPi](https://pypi.org/project/tfx) (π₯ 73K / month Β· π¦ 17 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/tfx) (π₯ 70K / month Β· π¦ 17 Β· β±οΈ 13.05.2024):
```
pip install tfx
```
TensorFlow Transform (π₯32 Β· β 980) - Input pipeline framework. Apache-2
+TensorFlow I/O (π₯32 Β· β 690) - Dataset, streaming, and file system extensions.. Apache-2
-- [GitHub](https://github.com/tensorflow/transform) (π¨βπ» 28 Β· π 210 Β· π¦ 1.8K Β· π 220 - 20% open Β· β±οΈ 30.04.2024):
+- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 110 Β· π 280 Β· π 650 - 44% open Β· β±οΈ 24.05.2024):
```
- git clone https://github.com/tensorflow/transform
+ git clone https://github.com/tensorflow/io
```
-- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 970K / month Β· π¦ 17 Β· β±οΈ 24.04.2024):
+- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 3.7M / month Β· π¦ 60 Β· β±οΈ 01.05.2024):
```
- pip install tensorflow-transform
+ pip install tensorflow-io
```
TensorFlow I/O (π₯32 Β· β 690) - Dataset, streaming, and file system extensions.. Apache-2
+TensorFlow Transform (π₯31 Β· β 980) - Input pipeline framework. Apache-2
-- [GitHub](https://github.com/tensorflow/io) (π¨βπ» 110 Β· π 280 Β· π 650 - 44% open Β· β±οΈ 24.04.2024):
+- [GitHub](https://github.com/tensorflow/transform) (π¨βπ» 28 Β· π 210 Β· π¦ 1.8K Β· π 220 - 20% open Β· β±οΈ 30.04.2024):
```
- git clone https://github.com/tensorflow/io
+ git clone https://github.com/tensorflow/transform
```
-- [PyPi](https://pypi.org/project/tensorflow-io) (π₯ 4M / month Β· π¦ 60 Β· β±οΈ 01.05.2024):
+- [PyPi](https://pypi.org/project/tensorflow-transform) (π₯ 940K / month Β· π¦ 17 Β· β±οΈ 24.04.2024):
```
- pip install tensorflow-io
+ pip install tensorflow-transform
```
Neural Structured Learning (π₯25 Β· β 980 Β· π€) - Training neural models with structured signals. Apache-2
@@ -7312,33 +7327,21 @@ _Libraries that extend TensorFlow with additional capabilities._
pip install neural-structured-learning
```
TF Compression (π₯23 Β· β 830) - Data compression in TensorFlow. Apache-2
-
-- [GitHub](https://github.com/tensorflow/compression) (π¨βπ» 21 Β· π 250 Β· π 100 - 9% open Β· β±οΈ 20.05.2024):
-
- ```
- git clone https://github.com/tensorflow/compression
- ```
-- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 11K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
- ```
- pip install tensorflow-compression
- ```
-TensorFlow Cloud (π₯23 Β· β 370) - The TensorFlow Cloud repository provides APIs that.. Apache-2
+TensorFlow Cloud (π₯24 Β· β 370) - The TensorFlow Cloud repository provides APIs that.. Apache-2
- [GitHub](https://github.com/tensorflow/cloud) (π¨βπ» 27 Β· π 83 Β· π¦ 400 Β· π 100 - 73% open Β· β±οΈ 25.02.2024):
```
git clone https://github.com/tensorflow/cloud
```
-- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 48K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
+- [PyPi](https://pypi.org/project/tensorflow-cloud) (π₯ 46K / month Β· π¦ 7 Β· β±οΈ 17.06.2021):
```
pip install tensorflow-cloud
```
Saliency (π₯22 Β· β 930) - Framework-agnostic implementation for state-of-the-art saliency.. Apache-2
-- [GitHub](https://github.com/PAIR-code/saliency) (π¨βπ» 18 Β· π 190 Β· π¦ 84 Β· π 39 - 30% open Β· β±οΈ 20.03.2024):
+- [GitHub](https://github.com/PAIR-code/saliency) (π¨βπ» 18 Β· π 190 Β· π¦ 85 Β· π 39 - 30% open Β· β±οΈ 20.03.2024):
```
git clone https://github.com/PAIR-code/saliency
@@ -7348,6 +7351,18 @@ _Libraries that extend TensorFlow with additional capabilities._
pip install saliency
```
TF Compression (π₯22 Β· β 830) - Data compression in TensorFlow. Apache-2
+
+- [GitHub](https://github.com/tensorflow/compression) (π¨βπ» 21 Β· π 250 Β· π 100 - 9% open Β· β±οΈ 20.05.2024):
+
+ ```
+ git clone https://github.com/tensorflow/compression
+ ```
+- [PyPi](https://pypi.org/project/tensorflow-compression) (π₯ 7.8K / month Β· π¦ 2 Β· β±οΈ 02.02.2024):
+ ```
+ pip install tensorflow-compression
+ ```
+Show 5 hidden projects...
- tensor2tensor (π₯32 Β· β 15K Β· π) - Library of deep learning models and datasets designed.. Apache-2 equinox (π₯30 Β· β 1.8K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
+equinox (π₯30 Β· β 1.9K) - Elegant easy-to-use neural networks + scientific computing in.. Apache-2
-- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 51 Β· π 130 Β· π¦ 560 Β· π 360 - 33% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/patrick-kidger/equinox) (π¨βπ» 52 Β· π 130 Β· π¦ 570 Β· π 360 - 33% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/patrick-kidger/equinox
```
-- [PyPi](https://pypi.org/project/equinox) (π₯ 280K / month Β· π¦ 130 Β· β±οΈ 14.04.2024):
+- [PyPi](https://pypi.org/project/equinox) (π₯ 250K / month Β· π¦ 130 Β· β±οΈ 14.04.2024):
```
pip install equinox
```
evojax (π₯19 Β· β 790 Β· π€) - EvoJAX: Hardware-accelerated Neuroevolution. Apache-2
-- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 69 Β· π¦ 21 Β· π 33 - 48% open Β· β±οΈ 29.08.2023):
+- [GitHub](https://github.com/google/evojax) (π¨βπ» 14 Β· π 71 Β· π¦ 21 Β· π 33 - 48% open Β· β±οΈ 29.08.2023):
```
git clone https://github.com/google/evojax
```
-- [PyPi](https://pypi.org/project/evojax) (π₯ 950 / month Β· π¦ 5 Β· β±οΈ 29.08.2023):
+- [PyPi](https://pypi.org/project/evojax) (π₯ 880 / month Β· π¦ 5 Β· β±οΈ 29.08.2023):
```
pip install evojax
```
-- [Conda](https://anaconda.org/conda-forge/evojax) (π₯ 24K Β· β±οΈ 29.08.2023):
+- [Conda](https://anaconda.org/conda-forge/evojax) (π₯ 25K Β· β±οΈ 29.08.2023):
```
conda install -c conda-forge evojax
```
@@ -7404,30 +7419,30 @@ _Libraries that extend Jax with additional capabilities._
_Libraries that extend scikit-learn with additional capabilities._
-imbalanced-learn (π₯36 Β· β 6.7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
+imbalanced-learn (π₯37 Β· β 6.7K) - A Python Package to Tackle the Curse of Imbalanced.. MIT
-- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 84 Β· π 1.3K Β· π¦ 27K Β· π 600 - 6% open Β· β±οΈ 01.04.2024):
+- [GitHub](https://github.com/scikit-learn-contrib/imbalanced-learn) (π¨βπ» 84 Β· π 1.3K Β· π¦ 28K Β· π 600 - 6% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/scikit-learn-contrib/imbalanced-learn
```
-- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 11M / month Β· π¦ 390 Β· β±οΈ 31.03.2024):
+- [PyPi](https://pypi.org/project/imbalanced-learn) (π₯ 12M / month Β· π¦ 390 Β· β±οΈ 28.05.2024):
```
pip install imbalanced-learn
```
-- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (π₯ 560K Β· β±οΈ 31.03.2024):
+- [Conda](https://anaconda.org/conda-forge/imbalanced-learn) (π₯ 570K Β· β±οΈ 28.05.2024):
```
conda install -c conda-forge imbalanced-learn
```
scikit-learn-intelex (π₯35 Β· β 1.2K) - Intel(R) Extension for Scikit-learn is a seamless way.. Apache-2
-- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 79 Β· π 170 Β· π¦ 11K Β· π 250 - 28% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/intel/scikit-learn-intelex) (π¨βπ» 79 Β· π 170 Β· π¦ 11K Β· π 250 - 28% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/intel/scikit-learn-intelex
```
-- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 110K / month Β· π¦ 42 Β· β±οΈ 13.05.2024):
+- [PyPi](https://pypi.org/project/scikit-learn-intelex) (π₯ 100K / month Β· π¦ 42 Β· β±οΈ 13.05.2024):
```
pip install scikit-learn-intelex
```
@@ -7438,12 +7453,12 @@ _Libraries that extend scikit-learn with additional capabilities._
MLxtend (π₯34 Β· β 4.8K) - A library of extension and helper modules for Pythons data.. BSD-3
-- [GitHub](https://github.com/rasbt/mlxtend) (π¨βπ» 110 Β· π 840 Β· π¦ 13K Β· π 480 - 29% open Β· β±οΈ 31.03.2024):
+- [GitHub](https://github.com/rasbt/mlxtend) (π¨βπ» 110 Β· π 840 Β· π¦ 14K Β· π 480 - 29% open Β· β±οΈ 31.03.2024):
```
git clone https://github.com/rasbt/mlxtend
```
-- [PyPi](https://pypi.org/project/mlxtend) (π₯ 620K / month Β· π¦ 160 Β· β±οΈ 05.01.2024):
+- [PyPi](https://pypi.org/project/mlxtend) (π₯ 640K / month Β· π¦ 160 Β· β±οΈ 05.01.2024):
```
pip install mlxtend
```
@@ -7459,7 +7474,7 @@ _Libraries that extend scikit-learn with additional capabilities._
```
git clone https://github.com/scikit-learn-contrib/category_encoders
```
-- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.7M / month Β· π¦ 240 Β· β±οΈ 29.10.2023):
+- [PyPi](https://pypi.org/project/category_encoders) (π₯ 1.6M / month Β· π¦ 240 Β· β±οΈ 29.10.2023):
```
pip install category_encoders
```
@@ -7470,68 +7485,68 @@ _Libraries that extend scikit-learn with additional capabilities._
scikit-lego (π₯28 Β· β 1.2K) - Extra blocks for scikit-learn pipelines. MIT
-- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 67 Β· π 110 Β· π¦ 140 Β· π 310 - 11% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/koaning/scikit-lego) (π¨βπ» 67 Β· π 110 Β· π¦ 150 Β· π 310 - 11% open Β· β±οΈ 26.05.2024):
```
git clone https://github.com/koaning/scikit-lego
```
-- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 22K / month Β· π¦ 8 Β· β±οΈ 16.04.2024):
+- [PyPi](https://pypi.org/project/scikit-lego) (π₯ 22K / month Β· π¦ 11 Β· β±οΈ 25.05.2024):
```
pip install scikit-lego
```
-- [Conda](https://anaconda.org/conda-forge/scikit-lego) (π₯ 48K Β· β±οΈ 17.04.2024):
+- [Conda](https://anaconda.org/conda-forge/scikit-lego) (π₯ 49K Β· β±οΈ 17.04.2024):
```
conda install -c conda-forge scikit-lego
```
scikit-opt (π₯25 Β· β 5K) - Genetic Algorithm, Particle Swarm Optimization, Simulated.. MIT
-- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 20 Β· π 960 Β· π¦ 200 Β· π 180 - 36% open Β· β±οΈ 19.11.2023):
+- [GitHub](https://github.com/guofei9987/scikit-opt) (π¨βπ» 20 Β· π 950 Β· π¦ 200 Β· π 180 - 36% open Β· β±οΈ 19.11.2023):
```
git clone https://github.com/guofei9987/scikit-opt
```
-- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 3.5K / month Β· π¦ 9 Β· β±οΈ 14.01.2022):
+- [PyPi](https://pypi.org/project/scikit-opt) (π₯ 3.4K / month Β· π¦ 9 Β· β±οΈ 14.01.2022):
```
pip install scikit-opt
```
DESlib (π₯22 Β· β 470) - A Python library for dynamic classifier and ensemble selection. BSD-3
+DESlib (π₯21 Β· β 470) - A Python library for dynamic classifier and ensemble selection. BSD-3
- [GitHub](https://github.com/scikit-learn-contrib/DESlib) (π¨βπ» 17 Β· π 100 Β· π¦ 47 Β· π 160 - 11% open Β· β±οΈ 15.04.2024):
```
git clone https://github.com/scikit-learn-contrib/DESlib
```
-- [PyPi](https://pypi.org/project/deslib) (π₯ 1.2K / month Β· π¦ 3 Β· β±οΈ 12.04.2024):
+- [PyPi](https://pypi.org/project/deslib) (π₯ 950 / month Β· π¦ 3 Β· β±οΈ 12.04.2024):
```
pip install deslib
```
scikit-tda (π₯20 Β· β 500) - Topological Data Analysis for Python. MIT
+scikit-tda (π₯19 Β· β 500) - Topological Data Analysis for Python. MIT
-- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 51 Β· π¦ 55 Β· π 22 - 54% open Β· β±οΈ 30.03.2024):
+- [GitHub](https://github.com/scikit-tda/scikit-tda) (π¨βπ» 6 Β· π 51 Β· π¦ 56 Β· π 22 - 54% open Β· β±οΈ 30.03.2024):
```
git clone https://github.com/scikit-tda/scikit-tda
```
-- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 3.2K / month Β· β±οΈ 03.08.2021):
+- [PyPi](https://pypi.org/project/scikit-tda) (π₯ 2.8K / month Β· β±οΈ 03.08.2021):
```
pip install scikit-tda
```
Show 11 hidden projects...
-- scikit-survival (π₯29 Β· β 1.1K) - Survival analysis built on top of scikit-learn. βοΈGPL-3.0 βοΈGPL-3.0 BSD-2 Apache-2 MIT BSD-3 BSD-3 BSD-2 xgboost
-- skope-rules (π₯21 Β· β 590 Β· π) - machine learning with logical rules in Python. βοΈBSD-1-Clause βοΈBSD-1-Clause MIT BSD-3 BSD-3 BSD-3
@@ -7542,14 +7557,14 @@ _Libraries that extend scikit-learn with additional capabilities._
_Libraries that extend Pytorch with additional capabilities._
-accelerate (π₯40 Β· β 7.1K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
+accelerate (π₯40 Β· β 7.2K) - A simple way to launch, train, and use PyTorch models on.. Apache-2
-- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 250 Β· π 810 Β· π¦ 37K Β· π 1.4K - 9% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/huggingface/accelerate) (π¨βπ» 250 Β· π 820 Β· π¦ 38K Β· π 1.4K - 9% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/huggingface/accelerate
```
-- [PyPi](https://pypi.org/project/accelerate) (π₯ 8.6M / month Β· π¦ 1.1K Β· β±οΈ 10.05.2024):
+- [PyPi](https://pypi.org/project/accelerate) (π₯ 8M / month Β· π¦ 1.1K Β· β±οΈ 10.05.2024):
```
pip install accelerate
```
@@ -7558,9 +7573,9 @@ _Libraries that extend Pytorch with additional capabilities._
conda install -c conda-forge accelerate
```
tinygrad (π₯33 Β· β 24K Β· π) - You like pytorch? You like micrograd? You love tinygrad!. MIT
+tinygrad (π₯33 Β· β 24K) - You like pytorch? You like micrograd? You love tinygrad!. MIT
-- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 310 Β· π 2.7K Β· π¦ 64 Β· π 610 - 15% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/tinygrad/tinygrad) (π¨βπ» 310 Β· π 2.7K Β· π¦ 66 Β· π 620 - 14% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/geohot/tinygrad
@@ -7573,7 +7588,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/KevinMusgrave/pytorch-metric-learning
```
-- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 400K / month Β· π¦ 33 Β· β±οΈ 01.04.2024):
+- [PyPi](https://pypi.org/project/pytorch-metric-learning) (π₯ 420K / month Β· π¦ 33 Β· β±οΈ 01.04.2024):
```
pip install pytorch-metric-learning
```
@@ -7582,23 +7597,23 @@ _Libraries that extend Pytorch with additional capabilities._
conda install -c metric-learning pytorch-metric-learning
```
torchdiffeq (π₯29 Β· β 5.3K Β· π€) - Differentiable ODE solvers with full GPU support and.. MIT
+torchdiffeq (π₯31 Β· β 5.3K Β· π€) - Differentiable ODE solvers with full GPU support and.. MIT
-- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 21 Β· π 890 Β· π¦ 3.3K Β· π 220 - 33% open Β· β±οΈ 19.10.2023):
+- [GitHub](https://github.com/rtqichen/torchdiffeq) (π¨βπ» 21 Β· π 900 Β· π¦ 3.4K Β· π 220 - 32% open Β· β±οΈ 19.10.2023):
```
git clone https://github.com/rtqichen/torchdiffeq
```
-- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 730K / month Β· π¦ 89 Β· β±οΈ 22.04.2022):
+- [PyPi](https://pypi.org/project/torchdiffeq) (π₯ 700K / month Β· π¦ 89 Β· β±οΈ 29.05.2024):
```
pip install torchdiffeq
```
-- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (π₯ 15K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/torchdiffeq) (π₯ 16K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge torchdiffeq
```
pytorch-optimizer (π₯29 Β· β 3K Β· π€) - torch-optimizer -- collection of optimizers for.. Apache-2
+pytorch-optimizer (π₯29 Β· β 3K Β· π€) - torch-optimizer -- collection of optimizers for.. Apache-2
- [GitHub](https://github.com/jettify/pytorch-optimizer) (π¨βπ» 26 Β· π 290 Β· π¦ 1.2K Β· π 83 - 63% open Β· β±οΈ 20.06.2023):
@@ -7609,23 +7624,23 @@ _Libraries that extend Pytorch with additional capabilities._
```
pip install torch_optimizer
```
-- [Conda](https://anaconda.org/conda-forge/torch-optimizer):
+- [Conda](https://anaconda.org/conda-forge/torch-optimizer) (π₯ 10K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge torch-optimizer
```
torchsde (π₯28 Β· β 1.5K Β· π€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
+torchsde (π₯29 Β· β 1.5K Β· π€) - Differentiable SDE solvers with GPU support and efficient.. Apache-2
-- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 8 Β· π 180 Β· π¦ 3K Β· π 74 - 29% open Β· β±οΈ 26.09.2023):
+- [GitHub](https://github.com/google-research/torchsde) (π¨βπ» 8 Β· π 190 Β· π¦ 3.1K Β· π 75 - 30% open Β· β±οΈ 26.09.2023):
```
git clone https://github.com/google-research/torchsde
```
-- [PyPi](https://pypi.org/project/torchsde) (π₯ 1.4M / month Β· π¦ 30 Β· β±οΈ 26.09.2023):
+- [PyPi](https://pypi.org/project/torchsde) (π₯ 1.3M / month Β· π¦ 30 Β· β±οΈ 26.09.2023):
```
pip install torchsde
```
-- [Conda](https://anaconda.org/conda-forge/torchsde) (π₯ 21K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/torchsde) (π₯ 22K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge torchsde
```
@@ -7637,45 +7652,45 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/Lightning-AI/lightning-flash
```
-- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 2.4K / month Β· π¦ 5 Β· β±οΈ 11.05.2022):
+- [PyPi](https://pypi.org/project/lightning-flash) (π₯ 1.9K / month Β· π¦ 5 Β· β±οΈ 11.05.2022):
```
pip install lightning-flash
```
-- [Conda](https://anaconda.org/conda-forge/lightning-flash) (π₯ 18K Β· β±οΈ 04.07.2023):
+- [Conda](https://anaconda.org/conda-forge/lightning-flash) (π₯ 19K Β· β±οΈ 04.07.2023):
```
conda install -c conda-forge lightning-flash
```
torch-scatter (π₯26 Β· β 1.5K) - PyTorch Extension Library of Optimized Scatter Operations. MIT
+TabNet (π₯26 Β· β 2.5K Β· π€) - PyTorch implementation of TabNet paper :.. MIT
-- [GitHub](https://github.com/rusty1s/pytorch_scatter) (π¨βπ» 30 Β· π 180 Β· π 370 - 8% open Β· β±οΈ 10.05.2024):
+- [GitHub](https://github.com/dreamquark-ai/tabnet) (π¨βπ» 21 Β· π 470 Β· π 330 - 15% open Β· β±οΈ 23.07.2023):
```
- git clone https://github.com/rusty1s/pytorch_scatter
+ git clone https://github.com/dreamquark-ai/tabnet
```
-- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 37K / month Β· π¦ 130 Β· β±οΈ 06.10.2023):
+- [PyPi](https://pypi.org/project/pytorch-tabnet) (π₯ 37K / month Β· π¦ 11 Β· β±οΈ 23.07.2023):
```
- pip install torch-scatter
+ pip install pytorch-tabnet
```
-- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 290K Β· β±οΈ 19.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (π₯ 6.7K Β· β±οΈ 20.12.2023):
```
- conda install -c conda-forge pytorch_scatter
+ conda install -c conda-forge pytorch-tabnet
```
TabNet (π₯25 Β· β 2.5K Β· π€) - PyTorch implementation of TabNet paper :.. MIT
+torch-scatter (π₯26 Β· β 1.5K) - PyTorch Extension Library of Optimized Scatter Operations. MIT
-- [GitHub](https://github.com/dreamquark-ai/tabnet) (π¨βπ» 21 Β· π 470 Β· π 330 - 15% open Β· β±οΈ 23.07.2023):
+- [GitHub](https://github.com/rusty1s/pytorch_scatter) (π¨βπ» 30 Β· π 180 Β· π 370 - 7% open Β· β±οΈ 27.05.2024):
```
- git clone https://github.com/dreamquark-ai/tabnet
+ git clone https://github.com/rusty1s/pytorch_scatter
```
-- [PyPi](https://pypi.org/project/pytorch-tabnet) (π₯ 36K / month Β· π¦ 11 Β· β±οΈ 23.07.2023):
+- [PyPi](https://pypi.org/project/torch-scatter) (π₯ 36K / month Β· π¦ 130 Β· β±οΈ 06.10.2023):
```
- pip install pytorch-tabnet
+ pip install torch-scatter
```
-- [Conda](https://anaconda.org/conda-forge/pytorch-tabnet) (π₯ 6.7K Β· β±οΈ 20.12.2023):
+- [Conda](https://anaconda.org/conda-forge/pytorch_scatter) (π₯ 300K Β· β±οΈ 19.05.2024):
```
- conda install -c conda-forge pytorch-tabnet
+ conda install -c conda-forge pytorch_scatter
```
PyTorch Sparse (π₯24 Β· β 960) - PyTorch Extension Library of Optimized Autograd Sparse.. MIT
@@ -7701,7 +7716,7 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/BloodAxe/pytorch-toolbelt
```
-- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 7.5K / month Β· π¦ 7 Β· β±οΈ 27.06.2022):
+- [PyPi](https://pypi.org/project/pytorch_toolbelt) (π₯ 7.4K / month Β· π¦ 7 Β· β±οΈ 27.06.2022):
```
pip install pytorch_toolbelt
```
@@ -7713,14 +7728,14 @@ _Libraries that extend Pytorch with additional capabilities._
```
git clone https://github.com/lucidrains/reformer-pytorch
```
-- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 9.9K / month Β· β±οΈ 06.11.2021):
+- [PyPi](https://pypi.org/project/reformer-pytorch) (π₯ 10K / month Β· β±οΈ 06.11.2021):
```
pip install reformer-pytorch
```
Show 20 hidden projects...
-- pretrainedmodels (π₯29 Β· β 9K Β· π) - Pretrained ConvNets for pytorch: NASNet, ResNeXt,.. BSD-3 BSD-3 MIT Apache-2 Apache-2 MIT MIT βοΈCC BY-NC-SA 4.0 MIT MIT Apache-2 MIT
+- pytorchviz (π₯20 Β· β 3.1K Β· π) - A small package to create visualizations of PyTorch execution.. MIT
- Lambda Networks (π₯20 Β· β 1.5K Β· π) - Implementation of LambdaNetworks, a new approach to.. MIT MIT βοΈLGPL-3.0 
-scipy (π₯51 Β· β 13K Β· π) - Ecosystem of open-source software for mathematics, science, and.. BSD-3
+scipy (π₯51 Β· β 13K) - Ecosystem of open-source software for mathematics, science, and engineering. BSD-3
-- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.6K Β· π 5K Β· π₯ 400K Β· π¦ 1M Β· π 10K - 17% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/scipy/scipy) (π¨βπ» 1.6K Β· π 5K Β· π₯ 400K Β· π¦ 1M Β· π 10K - 17% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/scipy/scipy
```
-- [PyPi](https://pypi.org/project/scipy) (π₯ 110M / month Β· π¦ 41K Β· β±οΈ 23.05.2024):
+- [PyPi](https://pypi.org/project/scipy) (π₯ 110M / month Β· π¦ 41K Β· β±οΈ 30.05.2024):
```
pip install scipy
```
@@ -7773,14 +7788,14 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge scipy
```
SymPy (π₯47 Β· β 12K) - A computer algebra system written in pure Python. BSD-3
+SymPy (π₯48 Β· β 12K) - A computer algebra system written in pure Python. BSD-3
-- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4.3K Β· π₯ 540K Β· π¦ 140K Β· π 14K - 36% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/sympy/sympy) (π¨βπ» 1.3K Β· π 4.3K Β· π₯ 540K Β· π¦ 140K Β· π 14K - 36% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/sympy/sympy
```
-- [PyPi](https://pypi.org/project/sympy) (π₯ 22M / month Β· π¦ 3K Β· β±οΈ 31.03.2024):
+- [PyPi](https://pypi.org/project/sympy) (π₯ 22M / month Β· π¦ 3.1K Β· β±οΈ 29.05.2024):
```
pip install sympy
```
@@ -7791,48 +7806,48 @@ _Libraries for connecting to, operating, and querying databases._
Streamlit (π₯46 Β· β 32K) - Streamlit A faster way to build and share data apps. Apache-2
-- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 230 Β· π 2.8K Β· π¦ 390K Β· π 4.2K - 19% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/streamlit/streamlit) (π¨βπ» 230 Β· π 2.8K Β· π¦ 390K Β· π 4.2K - 20% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/streamlit/streamlit
```
-- [PyPi](https://pypi.org/project/streamlit) (π₯ 4.6M / month Β· π¦ 2.3K Β· β±οΈ 02.05.2024):
+- [PyPi](https://pypi.org/project/streamlit) (π₯ 4.8M / month Β· π¦ 2.3K Β· β±οΈ 23.05.2024):
```
pip install streamlit
```
Gradio (π₯44 Β· β 30K) - Wrap UIs around any model, share with anyone. Apache-2
-- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 330 Β· π 2.2K Β· π¦ 31K Β· π 4.2K - 11% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/gradio-app/gradio) (π¨βπ» 330 Β· π 2.2K Β· π¦ 31K Β· π 4.3K - 11% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/gradio-app/gradio
```
-- [PyPi](https://pypi.org/project/gradio) (π₯ 7.3M / month Β· π¦ 560 Β· β±οΈ 21.05.2024):
+- [PyPi](https://pypi.org/project/gradio) (π₯ 7.4M / month Β· π¦ 570 Β· β±οΈ 29.05.2024):
```
pip install gradio
```
carla (π₯36 Β· β 11K) - Open-source simulator for autonomous driving research. MIT
-- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 190 Β· π 3.4K Β· π¦ 710 Β· π 5.2K - 20% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/carla-simulator/carla) (π¨βπ» 190 Β· π 3.4K Β· π¦ 720 Β· π 5.2K - 20% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/carla-simulator/carla
```
-- [PyPi](https://pypi.org/project/carla) (π₯ 12K / month Β· π¦ 7 Β· β±οΈ 14.11.2023):
+- [PyPi](https://pypi.org/project/carla) (π₯ 13K / month Β· π¦ 7 Β· β±οΈ 14.11.2023):
```
pip install carla
```
DeepChem (π₯36 Β· β 5.2K) - Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry,.. MIT
-- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 240 Β· π 1.6K Β· π¦ 370 Β· π 1.8K - 32% open Β· β±οΈ 17.05.2024):
+- [GitHub](https://github.com/deepchem/deepchem) (π¨βπ» 240 Β· π 1.6K Β· π¦ 370 Β· π 1.8K - 32% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/deepchem/deepchem
```
-- [PyPi](https://pypi.org/project/deepchem) (π₯ 25K / month Β· π¦ 13 Β· β±οΈ 17.05.2024):
+- [PyPi](https://pypi.org/project/deepchem) (π₯ 24K / month Β· π¦ 13 Β· β±οΈ 29.05.2024):
```
pip install deepchem
```
@@ -7843,28 +7858,28 @@ _Libraries for connecting to, operating, and querying databases._
PennyLane (π₯35 Β· β 2.1K) - PennyLane is a cross-platform Python library for quantum.. Apache-2
-- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 170 Β· π 540 Β· π₯ 78 Β· π¦ 890 Β· π 1.3K - 23% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/PennyLaneAI/pennylane) (π¨βπ» 170 Β· π 540 Β· π₯ 78 Β· π¦ 910 Β· π 1.3K - 23% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/PennyLaneAI/PennyLane
```
-- [PyPi](https://pypi.org/project/pennylane) (π₯ 56K / month Β· π¦ 100 Β· β±οΈ 06.05.2024):
+- [PyPi](https://pypi.org/project/pennylane) (π₯ 53K / month Β· π¦ 100 Β· β±οΈ 06.05.2024):
```
pip install pennylane
```
-- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 50K Β· β±οΈ 07.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pennylane) (π₯ 52K Β· β±οΈ 07.05.2024):
```
conda install -c conda-forge pennylane
```
agate (π₯35 Β· β 1.2K) - A Python data analysis library that is optimized for humans instead of.. MIT
-- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 53 Β· π 150 Β· π¦ 3.2K Β· π 650 - 0% open Β· β±οΈ 28.04.2024):
+- [GitHub](https://github.com/wireservice/agate) (π¨βπ» 53 Β· π 150 Β· π¦ 3.2K Β· π 650 - 0% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/wireservice/agate
```
-- [PyPi](https://pypi.org/project/agate) (π₯ 6.8M / month Β· π¦ 45 Β· β±οΈ 28.04.2024):
+- [PyPi](https://pypi.org/project/agate) (π₯ 7.1M / month Β· π¦ 45 Β· β±οΈ 27.05.2024):
```
pip install agate
```
@@ -7880,71 +7895,71 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/simonw/datasette
```
-- [PyPi](https://pypi.org/project/datasette) (π₯ 40K / month Β· π¦ 390 Β· β±οΈ 13.03.2024):
+- [PyPi](https://pypi.org/project/datasette) (π₯ 39K / month Β· π¦ 390 Β· β±οΈ 13.03.2024):
```
pip install datasette
```
-- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 34K Β· β±οΈ 03.01.2024):
+- [Conda](https://anaconda.org/conda-forge/datasette) (π₯ 35K Β· β±οΈ 03.01.2024):
```
conda install -c conda-forge datasette
```
Autograd (π₯34 Β· β 6.8K) - Efficiently computes derivatives of numpy code. MIT
+PyOD (π₯34 Β· β 8K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2
-- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 56 Β· π 870 Β· π¦ 8.2K Β· π 410 - 42% open Β· β±οΈ 16.11.2023):
+- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 50 Β· π 1.3K Β· π¦ 3.8K Β· π 350 - 58% open Β· β±οΈ 16.03.2024):
```
- git clone https://github.com/HIPS/autograd
+ git clone https://github.com/yzhao062/pyod
```
-- [PyPi](https://pypi.org/project/autograd) (π₯ 1.3M / month Β· π¦ 260 Β· β±οΈ 23.06.2023):
+- [PyPi](https://pypi.org/project/pyod) (π₯ 680K / month Β· π¦ 110 Β· β±οΈ 09.02.2024):
```
- pip install autograd
+ pip install pyod
```
-- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 430K Β· β±οΈ 26.06.2023):
+- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 100K Β· β±οΈ 09.02.2024):
```
- conda install -c conda-forge autograd
+ conda install -c conda-forge pyod
```
PyOD (π₯33 Β· β 8K) - A Comprehensive and Scalable Python Library for Outlier Detection (Anomaly.. BSD-2
+Autograd (π₯33 Β· β 6.8K) - Efficiently computes derivatives of numpy code. MIT
-- [GitHub](https://github.com/yzhao062/pyod) (π¨βπ» 50 Β· π 1.3K Β· π¦ 3.7K Β· π 350 - 58% open Β· β±οΈ 16.03.2024):
+- [GitHub](https://github.com/HIPS/autograd) (π¨βπ» 56 Β· π 870 Β· π¦ 8.3K Β· π 410 - 42% open Β· β±οΈ 25.05.2024):
```
- git clone https://github.com/yzhao062/pyod
+ git clone https://github.com/HIPS/autograd
```
-- [PyPi](https://pypi.org/project/pyod) (π₯ 710K / month Β· π¦ 110 Β· β±οΈ 09.02.2024):
+- [PyPi](https://pypi.org/project/autograd) (π₯ 1.3M / month Β· π¦ 260 Β· β±οΈ 23.06.2023):
```
- pip install pyod
+ pip install autograd
```
-- [Conda](https://anaconda.org/conda-forge/pyod) (π₯ 99K Β· β±οΈ 09.02.2024):
+- [Conda](https://anaconda.org/conda-forge/autograd) (π₯ 430K Β· β±οΈ 26.06.2023):
```
- conda install -c conda-forge pyod
+ conda install -c conda-forge autograd
```
Pythran (π₯33 Β· β 2K) - Ahead of Time compiler for numeric kernels. BSD-3
-- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 72 Β· π 190 Β· π¦ 2.2K Β· π 850 - 15% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/serge-sans-paille/pythran) (π¨βπ» 72 Β· π 190 Β· π¦ 2.2K Β· π 860 - 15% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/serge-sans-paille/pythran
```
-- [PyPi](https://pypi.org/project/pythran) (π₯ 230K / month Β· π¦ 19 Β· β±οΈ 20.05.2024):
+- [PyPi](https://pypi.org/project/pythran) (π₯ 230K / month Β· π¦ 19 Β· β±οΈ 28.05.2024):
```
pip install pythran
```
-- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 490K Β· β±οΈ 21.05.2024):
+- [Conda](https://anaconda.org/conda-forge/pythran) (π₯ 500K Β· β±οΈ 28.05.2024):
```
conda install -c conda-forge pythran
```
pyopencl (π₯33 Β· β 1K) - OpenCL integration for Python, plus shiny features. MIT
-- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 96 Β· π 240 Β· π¦ 1.9K Β· π 340 - 21% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/inducer/pyopencl) (π¨βπ» 96 Β· π 240 Β· π¦ 1.9K Β· π 340 - 21% open Β· β±οΈ 28.05.2024):
```
git clone https://github.com/inducer/pyopencl
```
-- [PyPi](https://pypi.org/project/pyopencl) (π₯ 54K / month Β· π¦ 160 Β· β±οΈ 09.05.2024):
+- [PyPi](https://pypi.org/project/pyopencl) (π₯ 53K / month Β· π¦ 160 Β· β±οΈ 09.05.2024):
```
pip install pyopencl
```
@@ -7953,102 +7968,102 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge pyopencl
```
River (π₯31 Β· β 4.8K) - Online machine learning in Python. BSD-3
+hdbscan (π₯32 Β· β 2.7K) - A high performance implementation of HDBSCAN clustering. BSD-3
-- [GitHub](https://github.com/online-ml/river) (π¨βπ» 110 Β· π 530 Β· π¦ 490 Β· π 590 - 18% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 89 Β· π 490 Β· π¦ 3.5K Β· π 520 - 67% open Β· β±οΈ 24.05.2024):
```
- git clone https://github.com/online-ml/river
+ git clone https://github.com/scikit-learn-contrib/hdbscan
```
-- [PyPi](https://pypi.org/project/river) (π₯ 36K / month Β· π¦ 51 Β· β±οΈ 23.04.2024):
+- [PyPi](https://pypi.org/project/hdbscan) (π₯ 700K / month Β· π¦ 300 Β· β±οΈ 24.05.2024):
```
- pip install river
+ pip install hdbscan
```
-- [Conda](https://anaconda.org/conda-forge/river) (π₯ 59K Β· β±οΈ 06.10.2023):
+- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 1.9M Β· β±οΈ 24.05.2024):
```
- conda install -c conda-forge river
+ conda install -c conda-forge hdbscan
```
causalml (π₯31 Β· β 4.8K) - Uplift modeling and causal inference with machine learning.. Apache-2
+datalad (π₯32 Β· β 490) - Keep code, data, containers under control with git and git-annex. MIT
-- [GitHub](https://github.com/uber/causalml) (π¨βπ» 62 Β· π 740 Β· π¦ 200 Β· π 380 - 14% open Β· β±οΈ 09.05.2024):
+- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 55 Β· π 110 Β· π¦ 400 Β· π 3.9K - 13% open Β· β±οΈ 28.05.2024):
```
- git clone https://github.com/uber/causalml
+ git clone https://github.com/datalad/datalad
```
-- [PyPi](https://pypi.org/project/causalml) (π₯ 65K / month Β· π¦ 1 Β· β±οΈ 19.04.2024):
+- [PyPi](https://pypi.org/project/datalad) (π₯ 20K / month Β· π¦ 93 Β· β±οΈ 19.04.2024):
```
- pip install causalml
+ pip install datalad
+ ```
+- [Conda](https://anaconda.org/conda-forge/datalad) (π₯ 470K Β· β±οΈ 29.05.2024):
+ ```
+ conda install -c conda-forge datalad
```
hdbscan (π₯31 Β· β 2.7K) - A high performance implementation of HDBSCAN clustering. BSD-3
+River (π₯31 Β· β 4.8K) - Online machine learning in Python. BSD-3
-- [GitHub](https://github.com/scikit-learn-contrib/hdbscan) (π¨βπ» 89 Β· π 480 Β· π¦ 3.5K Β· π 520 - 67% open Β· β±οΈ 22.05.2024):
+- [GitHub](https://github.com/online-ml/river) (π¨βπ» 110 Β· π 530 Β· π¦ 490 Β· π 590 - 18% open Β· β±οΈ 20.05.2024):
```
- git clone https://github.com/scikit-learn-contrib/hdbscan
+ git clone https://github.com/online-ml/river
```
-- [PyPi](https://pypi.org/project/hdbscan) (π₯ 620K / month Β· π¦ 300 Β· β±οΈ 20.11.2023):
+- [PyPi](https://pypi.org/project/river) (π₯ 37K / month Β· π¦ 51 Β· β±οΈ 23.04.2024):
```
- pip install hdbscan
+ pip install river
```
-- [Conda](https://anaconda.org/conda-forge/hdbscan) (π₯ 1.9M Β· β±οΈ 18.04.2024):
+- [Conda](https://anaconda.org/conda-forge/river) (π₯ 59K Β· β±οΈ 06.10.2023):
```
- conda install -c conda-forge hdbscan
+ conda install -c conda-forge river
```
pyjanitor (π₯31 Β· β 1.3K) - Clean APIs for data cleaning. Python implementation of R package.. MIT
-- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 610 Β· π 560 - 20% open Β· β±οΈ 19.05.2024):
+- [GitHub](https://github.com/pyjanitor-devs/pyjanitor) (π¨βπ» 110 Β· π 170 Β· π¦ 620 Β· π 560 - 20% open Β· β±οΈ 27.05.2024):
```
git clone https://github.com/pyjanitor-devs/pyjanitor
```
-- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 76K / month Β· π¦ 28 Β· β±οΈ 21.03.2024):
+- [PyPi](https://pypi.org/project/pyjanitor) (π₯ 75K / month Β· π¦ 28 Β· β±οΈ 21.03.2024):
```
pip install pyjanitor
```
-- [Conda](https://anaconda.org/conda-forge/pyjanitor) (π₯ 190K Β· β±οΈ 21.03.2024):
+- [Conda](https://anaconda.org/conda-forge/pyjanitor) (π₯ 200K Β· β±οΈ 21.03.2024):
```
conda install -c conda-forge pyjanitor
```
datalad (π₯31 Β· β 490) - Keep code, data, containers under control with git and git-annex. MIT
+causalml (π₯30 Β· β 4.8K) - Uplift modeling and causal inference with machine learning.. Apache-2
-- [GitHub](https://github.com/datalad/datalad) (π¨βπ» 55 Β· π 110 Β· π¦ 400 Β· π 3.9K - 13% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/uber/causalml) (π¨βπ» 62 Β· π 740 Β· π¦ 200 Β· π 380 - 14% open Β· β±οΈ 09.05.2024):
```
- git clone https://github.com/datalad/datalad
- ```
-- [PyPi](https://pypi.org/project/datalad) (π₯ 19K / month Β· π¦ 92 Β· β±οΈ 19.04.2024):
- ```
- pip install datalad
+ git clone https://github.com/uber/causalml
```
-- [Conda](https://anaconda.org/conda-forge/datalad) (π₯ 460K Β· β±οΈ 20.04.2024):
+- [PyPi](https://pypi.org/project/causalml) (π₯ 52K / month Β· π¦ 1 Β· β±οΈ 19.04.2024):
```
- conda install -c conda-forge datalad
+ pip install causalml
```
anomalib (π₯30 Β· β 3.2K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
+anomalib (π₯30 Β· β 3.3K) - An anomaly detection library comprising state-of-the-art algorithms.. Apache-2
-- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 79 Β· π 580 Β· π₯ 10K Β· π¦ 67 Β· π 840 - 14% open Β· β±οΈ 20.05.2024):
+- [GitHub](https://github.com/openvinotoolkit/anomalib) (π¨βπ» 79 Β· π 580 Β· π₯ 10K Β· π¦ 69 Β· π 840 - 14% open Β· β±οΈ 24.05.2024):
```
git clone https://github.com/openvinotoolkit/anomalib
```
-- [PyPi](https://pypi.org/project/anomalib) (π₯ 20K / month Β· π¦ 3 Β· β±οΈ 27.03.2024):
+- [PyPi](https://pypi.org/project/anomalib) (π₯ 17K / month Β· π¦ 3 Β· β±οΈ 27.03.2024):
```
pip install anomalib
```
tensorly (π₯30 Β· β 1.5K) - TensorLy: Tensor Learning in Python. BSD-2
-- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 67 Β· π 270 Β· π¦ 650 Β· π 260 - 23% open Β· β±οΈ 11.04.2024):
+- [GitHub](https://github.com/tensorly/tensorly) (π¨βπ» 67 Β· π 270 Β· π¦ 660 Β· π 260 - 23% open Β· β±οΈ 11.04.2024):
```
git clone https://github.com/tensorly/tensorly
```
-- [PyPi](https://pypi.org/project/tensorly) (π₯ 32K / month Β· π¦ 78 Β· β±οΈ 08.03.2023):
+- [PyPi](https://pypi.org/project/tensorly) (π₯ 29K / month Β· π¦ 80 Β· β±οΈ 08.03.2023):
```
pip install tensorly
```
@@ -8057,18 +8072,6 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge tensorly
```
avalanche (π₯29 Β· β 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
-
-- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 78 Β· π 280 Β· π₯ 21 Β· π¦ 82 Β· π 800 - 11% open Β· β±οΈ 23.05.2024):
-
- ```
- git clone https://github.com/ContinualAI/avalanche
- ```
-- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 960 / month Β· π¦ 3 Β· β±οΈ 27.02.2024):
- ```
- pip install avalanche-lib
- ```
-kmodes (π₯29 Β· β 1.2K) - Python implementations of the k-modes and k-prototypes clustering.. MIT
- [GitHub](https://github.com/nicodv/kmodes) (π¨βπ» 22 Β· π 410 Β· π¦ 2.6K Β· π 160 - 10% open Β· β±οΈ 17.01.2024):
@@ -8076,7 +8079,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/nicodv/kmodes
```
-- [PyPi](https://pypi.org/project/kmodes) (π₯ 330K / month Β· π¦ 38 Β· β±οΈ 06.09.2022):
+- [PyPi](https://pypi.org/project/kmodes) (π₯ 320K / month Β· π¦ 38 Β· β±οΈ 06.09.2022):
```
pip install kmodes
```
@@ -8087,19 +8090,31 @@ _Libraries for connecting to, operating, and querying databases._
adapter-transformers (π₯28 Β· β 2.4K) - A Unified Library for Parameter-Efficient and Modular.. Apache-2 huggingface
-- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 8 Β· π 320 Β· π¦ 56 Β· π 370 - 10% open Β· β±οΈ 21.05.2024):
+- [GitHub](https://github.com/adapter-hub/adapters) (π¨βπ» 8 Β· π 320 Β· π¦ 59 Β· π 370 - 10% open Β· β±οΈ 21.05.2024):
```
git clone https://github.com/Adapter-Hub/adapter-transformers
```
-- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 110K / month Β· π¦ 7 Β· β±οΈ 16.12.2023):
+- [PyPi](https://pypi.org/project/adapter-transformers) (π₯ 99K / month Β· π¦ 7 Β· β±οΈ 16.12.2023):
```
pip install adapter-transformers
```
avalanche (π₯28 Β· β 1.7K) - Avalanche: an End-to-End Library for Continual Learning based on.. MIT
+
+- [GitHub](https://github.com/ContinualAI/avalanche) (π¨βπ» 78 Β· π 280 Β· π₯ 21 Β· π¦ 83 Β· π 800 - 11% open Β· β±οΈ 28.05.2024):
+
+ ```
+ git clone https://github.com/ContinualAI/avalanche
+ ```
+- [PyPi](https://pypi.org/project/avalanche-lib) (π₯ 970 / month Β· π¦ 3 Β· β±οΈ 27.02.2024):
+ ```
+ pip install avalanche-lib
+ ```
+PySwarms (π₯28 Β· β 1.2K Β· π€) - A research toolkit for particle swarm optimization in Python. MIT
-- [GitHub](https://github.com/ljvmiranda921/pyswarms) (π¨βπ» 45 Β· π 330 Β· π¦ 380 Β· π 230 - 11% open Β· β±οΈ 06.06.2023):
+- [GitHub](https://github.com/ljvmiranda921/pyswarms) (π¨βπ» 45 Β· π 330 Β· π¦ 390 Β· π 230 - 11% open Β· β±οΈ 06.06.2023):
```
git clone https://github.com/ljvmiranda921/pyswarms
@@ -8111,28 +8126,28 @@ _Libraries for connecting to, operating, and querying databases._
dstack (π₯28 Β· β 1.1K) - An open-source container orchestration engine for running AI workloads.. MPL-2.0
-- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 25 Β· π 79 Β· π¦ 14 Β· π 690 - 7% open Β· β±οΈ 23.05.2024):
+- [GitHub](https://github.com/dstackai/dstack) (π¨βπ» 25 Β· π 79 Β· π¦ 14 Β· π 700 - 6% open Β· β±οΈ 30.05.2024):
```
git clone https://github.com/dstackai/dstack
```
-- [PyPi](https://pypi.org/project/dstack) (π₯ 2.3K / month Β· β±οΈ 23.05.2024):
+- [PyPi](https://pypi.org/project/dstack) (π₯ 2.1K / month Β· β±οΈ 23.05.2024):
```
pip install dstack
```
pyclustering (π₯27 Β· β 1.1K) - pyclustering is a Python, C++ data mining library. BSD-3
-- [GitHub](https://github.com/annoviko/pyclustering) (π¨βπ» 26 Β· π 250 Β· π₯ 510 Β· π¦ 670 Β· π 660 - 10% open Β· β±οΈ 08.02.2024):
+- [GitHub](https://github.com/annoviko/pyclustering) (π¨βπ» 26 Β· π 250 Β· π₯ 520 Β· π¦ 670 Β· π 660 - 10% open Β· β±οΈ 08.02.2024):
```
git clone https://github.com/annoviko/pyclustering
```
-- [PyPi](https://pypi.org/project/pyclustering) (π₯ 45K / month Β· π¦ 29 Β· β±οΈ 25.11.2020):
+- [PyPi](https://pypi.org/project/pyclustering) (π₯ 43K / month Β· π¦ 29 Β· β±οΈ 25.11.2020):
```
pip install pyclustering
```
-- [Conda](https://anaconda.org/conda-forge/pyclustering) (π₯ 65K Β· β±οΈ 16.11.2023):
+- [Conda](https://anaconda.org/conda-forge/pyclustering) (π₯ 66K Β· β±οΈ 16.11.2023):
```
conda install -c conda-forge pyclustering
```
@@ -8144,7 +8159,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/facebookresearch/AugLy
```
-- [PyPi](https://pypi.org/project/augly) (π₯ 2.6K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
+- [PyPi](https://pypi.org/project/augly) (π₯ 2.7K / month Β· π¦ 4 Β· β±οΈ 05.12.2023):
```
pip install augly
```
@@ -8156,11 +8171,27 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/modAL-python/modAL
```
-- [PyPi](https://pypi.org/project/modAL) (π₯ 290K / month Β· π¦ 27 Β· β±οΈ 21.05.2024):
+- [PyPi](https://pypi.org/project/modAL) (π₯ 270K / month Β· π¦ 41 Β· β±οΈ 29.05.2024):
```
pip install modAL
```
TabPy (π₯26 Β· β 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
+
+- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 50 Β· π 580 Β· π¦ 160 Β· π 320 - 5% open Β· β±οΈ 04.01.2024):
+
+ ```
+ git clone https://github.com/tableau/TabPy
+ ```
+- [PyPi](https://pypi.org/project/tabpy) (π₯ 8.1K / month Β· π¦ 2 Β· β±οΈ 30.01.2023):
+ ```
+ pip install tabpy
+ ```
+- [Conda](https://anaconda.org/anaconda/tabpy-client) (π₯ 4.5K Β· β±οΈ 16.06.2023):
+ ```
+ conda install -c anaconda tabpy-client
+ ```
+pycm (π₯26 Β· β 1.4K Β· π€) - Multi-class confusion matrix library in Python. MIT
- [GitHub](https://github.com/sepandhaghighi/pycm) (π¨βπ» 17 Β· π 120 Β· π¦ 300 Β· π 200 - 5% open Β· β±οΈ 07.06.2023):
@@ -8168,7 +8199,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/sepandhaghighi/pycm
```
-- [PyPi](https://pypi.org/project/pycm) (π₯ 44K / month Β· π¦ 22 Β· β±οΈ 07.06.2023):
+- [PyPi](https://pypi.org/project/pycm) (π₯ 41K / month Β· π¦ 22 Β· β±οΈ 07.06.2023):
```
pip install pycm
```
@@ -8191,16 +8222,16 @@ _Libraries for connecting to, operating, and querying databases._
Prince (π₯26 Β· β 1.2K) - Multivariate exploratory data analysis in Python PCA, CA, MCA, MFA,.. MIT
-- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 530 Β· π 130 - 3% open Β· β±οΈ 16.04.2024):
+- [GitHub](https://github.com/MaxHalford/prince) (π¨βπ» 16 Β· π 180 Β· π¦ 540 Β· π 130 - 3% open Β· β±οΈ 16.04.2024):
```
git clone https://github.com/MaxHalford/prince
```
-- [PyPi](https://pypi.org/project/prince) (π₯ 110K / month Β· π¦ 14 Β· β±οΈ 11.10.2023):
+- [PyPi](https://pypi.org/project/prince) (π₯ 120K / month Β· π¦ 16 Β· β±οΈ 11.10.2023):
```
pip install prince
```
-- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (π₯ 18K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/prince-factor-analysis) (π₯ 19K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge prince-factor-analysis
```
@@ -8212,7 +8243,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/google/trax
```
-- [PyPi](https://pypi.org/project/trax) (π₯ 3.8K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
+- [PyPi](https://pypi.org/project/trax) (π₯ 3.4K / month Β· π¦ 1 Β· β±οΈ 26.10.2021):
```
pip install trax
```
@@ -8224,31 +8255,15 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/trevorstephens/gplearn
```
-- [PyPi](https://pypi.org/project/gplearn) (π₯ 6.4K / month Β· π¦ 17 Β· β±οΈ 03.05.2022):
+- [PyPi](https://pypi.org/project/gplearn) (π₯ 6.9K / month Β· π¦ 17 Β· β±οΈ 03.05.2022):
```
pip install gplearn
```
-- [Conda](https://anaconda.org/conda-forge/gplearn) (π₯ 6.9K Β· β±οΈ 16.06.2023):
+- [Conda](https://anaconda.org/conda-forge/gplearn) (π₯ 7K Β· β±οΈ 16.06.2023):
```
conda install -c conda-forge gplearn
```
TabPy (π₯25 Β· β 1.5K) - Execute Python code on the fly and display results in Tableau visualizations:. MIT
-
-- [GitHub](https://github.com/tableau/TabPy) (π¨βπ» 50 Β· π 580 Β· π¦ 160 Β· π 320 - 5% open Β· β±οΈ 04.01.2024):
-
- ```
- git clone https://github.com/tableau/TabPy
- ```
-- [PyPi](https://pypi.org/project/tabpy) (π₯ 7.8K / month Β· π¦ 2 Β· β±οΈ 30.01.2023):
- ```
- pip install tabpy
- ```
-- [Conda](https://anaconda.org/anaconda/tabpy-client) (π₯ 4.5K Β· β±οΈ 16.06.2023):
- ```
- conda install -c anaconda tabpy-client
- ```
-Mars (π₯24 Β· β 2.7K) - Mars is a tensor-based unified framework for large-scale data.. Apache-2
- [GitHub](https://github.com/mars-project/mars) (π¨βπ» 53 Β· π 320 Β· π 1.2K - 17% open Β· β±οΈ 02.11.2023):
@@ -8256,26 +8271,14 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/mars-project/mars
```
-- [PyPi](https://pypi.org/project/pymars) (π₯ 17K / month Β· π¦ 1 Β· β±οΈ 12.06.2022):
+- [PyPi](https://pypi.org/project/pymars) (π₯ 15K / month Β· π¦ 1 Β· β±οΈ 12.06.2022):
```
pip install pymars
```
MONAILabel (π₯23 Β· β 560) - MONAI Label is an intelligent open source image labeling and.. Apache-2
-
-- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 59 Β· π 180 Β· π₯ 84K Β· π 510 - 23% open Β· β±οΈ 22.05.2024):
-
- ```
- git clone https://github.com/Project-MONAI/MONAILabel
- ```
-- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 830 / month Β· β±οΈ 01.10.2023):
- ```
- pip install monailabel-weekly
- ```
-AstroML (π₯22 Β· β 1K) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
+AstroML (π₯23 Β· β 1K) - Machine learning, statistics, and data mining for astronomy and.. BSD-2
-- [GitHub](https://github.com/astroML/astroML) (π¨βπ» 31 Β· π 290 Β· π 160 - 38% open Β· β±οΈ 04.01.2024):
+- [GitHub](https://github.com/astroML/astroML) (π¨βπ» 31 Β· π 300 Β· π 160 - 38% open Β· β±οΈ 04.01.2024):
```
git clone https://github.com/astroML/astroML
@@ -8289,6 +8292,18 @@ _Libraries for connecting to, operating, and querying databases._
conda install -c conda-forge astroml
```
MONAILabel (π₯23 Β· β 560) - MONAI Label is an intelligent open source image labeling and.. Apache-2
+
+- [GitHub](https://github.com/Project-MONAI/MONAILabel) (π¨βπ» 59 Β· π 180 Β· π₯ 84K Β· π 510 - 23% open Β· β±οΈ 24.05.2024):
+
+ ```
+ git clone https://github.com/Project-MONAI/MONAILabel
+ ```
+- [PyPi](https://pypi.org/project/monailabel-weekly) (π₯ 750 / month Β· β±οΈ 01.10.2023):
+ ```
+ pip install monailabel-weekly
+ ```
+BioPandas (π₯22 Β· β 690 Β· π€) - Working with molecular structures in pandas DataFrames. BSD-3
- [GitHub](https://github.com/BioPandas/biopandas) (π¨βπ» 15 Β· π 120 Β· π¦ 250 Β· π 58 - 41% open Β· β±οΈ 19.09.2023):
@@ -8296,7 +8311,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/rasbt/biopandas
```
-- [PyPi](https://pypi.org/project/biopandas) (π₯ 51K / month Β· π¦ 23 Β· β±οΈ 28.08.2023):
+- [PyPi](https://pypi.org/project/biopandas) (π₯ 49K / month Β· π¦ 23 Β· β±οΈ 28.08.2023):
```
pip install biopandas
```
@@ -8307,12 +8322,12 @@ _Libraries for connecting to, operating, and querying databases._
SUOD (π₯22 Β· β 370) - (MLSys 21) An Acceleration System for Large-scare Unsupervised Heterogeneous.. BSD-2
-- [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 3 Β· π 48 Β· π¦ 510 Β· π 14 - 78% open Β· β±οΈ 08.02.2024):
+- [GitHub](https://github.com/yzhao062/SUOD) (π¨βπ» 3 Β· π 48 Β· π¦ 520 Β· π 14 - 78% open Β· β±οΈ 08.02.2024):
```
git clone https://github.com/yzhao062/SUOD
```
-- [PyPi](https://pypi.org/project/suod) (π₯ 14K / month Β· π¦ 8 Β· β±οΈ 08.02.2024):
+- [PyPi](https://pypi.org/project/suod) (π₯ 13K / month Β· π¦ 8 Β· β±οΈ 08.02.2024):
```
pip install suod
```
@@ -8336,31 +8351,31 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/kLabUM/rrcf
```
-- [PyPi](https://pypi.org/project/rrcf) (π₯ 2.4K / month Β· π¦ 8 Β· β±οΈ 30.04.2023):
+- [PyPi](https://pypi.org/project/rrcf) (π₯ 2.5K / month Β· π¦ 8 Β· β±οΈ 30.04.2023):
```
pip install rrcf
```
pykale (π₯18 Β· β 430) - Knowledge-Aware machine LEarning (KALE): accessible machine learning.. MIT
+pykale (π₯20 Β· β 430 Β· π) - Knowledge-Aware machine LEarning (KALE): accessible machine.. MIT
-- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 22 Β· π 63 Β· π¦ 1 Β· π 120 - 7% open Β· β±οΈ 10.01.2024):
+- [GitHub](https://github.com/pykale/pykale) (π¨βπ» 22 Β· π 63 Β· π¦ 1 Β· π 120 - 7% open Β· β±οΈ 29.05.2024):
```
git clone https://github.com/pykale/pykale
```
-- [PyPi](https://pypi.org/project/pykale) (π₯ 72 / month Β· β±οΈ 12.04.2022):
+- [PyPi](https://pypi.org/project/pykale) (π₯ 68 / month Β· β±οΈ 12.04.2022):
```
pip install pykale
```
pymdp (π₯17 Β· β 400) - A Python implementation of active inference for Markov Decision Processes. MIT
-- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 15 Β· π 71 Β· π¦ 9 Β· π 40 - 37% open Β· β±οΈ 08.05.2024):
+- [GitHub](https://github.com/infer-actively/pymdp) (π¨βπ» 15 Β· π 72 Β· π¦ 9 Β· π 40 - 37% open Β· β±οΈ 08.05.2024):
```
git clone https://github.com/infer-actively/pymdp
```
-- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 380 / month Β· β±οΈ 08.12.2022):
+- [PyPi](https://pypi.org/project/inferactively-pymdp) (π₯ 350 / month Β· β±οΈ 08.12.2022):
```
pip install inferactively-pymdp
```
@@ -8372,7 +8387,7 @@ _Libraries for connecting to, operating, and querying databases._
```
git clone https://github.com/facebookresearch/NeuralCompression
```
-- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 96 / month Β· β±οΈ 03.10.2023):
+- [PyPi](https://pypi.org/project/neuralcompression) (π₯ 84 / month Β· β±οΈ 03.10.2023):
```
pip install neuralcompression
```
@@ -8387,7 +8402,7 @@ _Libraries for connecting to, operating, and querying databases._
- Cython BLIS (π₯28 Β· β 210) - Fast matrix-multiplication as a self-contained Python library no.. BSD-3
- pandas-ai (π₯27 Β· β 11K) - Chat with your database (SQL, CSV, pandas, polars, mongodb,.. βUnlicensed
- metricflow (π₯26 Β· β 1.1K) - MetricFlow allows you to define, build, and maintain metrics.. βUnlicensed
-- Feature Engine (π₯25 Β· β 1.7K Β· π) - Feature engineering package with sklearn like functionality. BSD-3
+- Feature Engine (π₯25 Β· β 1.8K Β· π) - Feature engineering package with sklearn like functionality. BSD-3
- findspark (π₯24 Β· β 510 Β· π) - Find pyspark to make it importable. BSD-3 MIT
- mlens (π₯22 Β· β 840 Β· π) - ML-Ensemble high performance ensemble learning. MIT
diff --git a/history/2024-05-30_changes.md b/history/2024-05-30_changes.md
new file mode 100644
index 0000000..76bea00
--- /dev/null
+++ b/history/2024-05-30_changes.md
@@ -0,0 +1,30 @@
+## π 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._
+
+- PaddleOCR (π₯40 Β· β 39K Β· π) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 BSD-3
+- jellyfish (π₯34 Β· β 2K Β· π) - a python library for doing approximate and phonetic matching of.. MIT
+- skorch (π₯31 Β· β 5.7K Β· π) - A scikit-learn compatible neural network library that.. BSD-3 MIT MIT Apache-2
+- optunity (π₯21 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
+- pykale (π₯20 Β· β 430 Β· π) - Knowledge-Aware machine LEarning (KALE): accessible machine.. MIT BSD-3 MIT
+- dash (π₯41 Β· β 21K Β· π) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+- Altair (π₯41 Β· β 9K Β· π) - Declarative statistical visualization library for Python. BSD-3
+- espnet (π₯37 Β· β 8K Β· π) - End-to-End Speech Processing Toolkit. Apache-2
+- deepface (π₯36 Β· β 10K Β· π) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+- torchtext (π₯34 Β· β 3.5K Β· π) - Models, data loaders and abstractions for language.. BSD-3 MIT Apache-2 BSD-3 Apache-2 BSD-3
-- Altair (π₯42 Β· β 9K Β· π) - Declarative statistical visualization library for Python. BSD-3
-- Faiss (π₯40 Β· β 29K Β· π) - A library for efficient similarity search and clustering of dense vectors. MIT
-- MONAI (π₯36 Β· β 5.4K Β· π) - AI Toolkit for Healthcare Imaging. Apache-2 Apache-2
-- datashader (π₯34 Β· β 3.2K Β· π) - Quickly and accurately render even the largest data. BSD-3
-- tinygrad (π₯33 Β· β 24K Β· π) - You like pytorch? You like micrograd? You love tinygrad!. MIT BSD-3
-- Hyperactive (π₯22 Β· β 490 Β· π) - An optimization and data collection toolbox for convenient and.. MIT
-- TimeSide (π₯21 Β· β 370 Β· π) - scalable audio processing framework and server written in.. βοΈAGPL-3.0
+- PaddleOCR (π₯40 Β· β 39K Β· π) - Awesome multilingual OCR toolkits based on PaddlePaddle.. Apache-2 BSD-3
+- jellyfish (π₯34 Β· β 2K Β· π) - a python library for doing approximate and phonetic matching of.. MIT
+- skorch (π₯31 Β· β 5.7K Β· π) - A scikit-learn compatible neural network library that.. BSD-3 MIT MIT Apache-2
+- optunity (π₯21 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
+- pykale (π₯20 Β· β 430 Β· π) - Knowledge-Aware machine LEarning (KALE): accessible machine.. MIT BSD-3 BSD-3
-- PyMC3 (π₯40 Β· β 8.2K Β· π) - Bayesian Modeling and Probabilistic Programming in Python. Apache-2
-- Rasa (π₯39 Β· β 18K Β· π) - Open source machine learning framework to automate text- and.. Apache-2 Apache-2
-- NeuralProphet (π₯30 Β· β 3.7K Β· π) - NeuralProphet: A simple forecasting package. MIT MIT MIT
-- optunity (π₯19 Β· β 410 Β· π) - optimization routines for hyperparameter tuning. BSD-3
-- PipelineDP (π₯17 Β· β 270 Β· π) - PipelineDP is a Python framework for applying differentially.. Apache-2
-- celer (π₯16 Β· β 190 Β· π) - Fast solver for L1-type problems: Lasso, sparse Logisitic.. BSD-3 MIT
+- dash (π₯41 Β· β 21K Β· π) - Data Apps & Dashboards for Python. No JavaScript Required. MIT
+- Altair (π₯41 Β· β 9K Β· π) - Declarative statistical visualization library for Python. BSD-3
+- espnet (π₯37 Β· β 8K Β· π) - End-to-End Speech Processing Toolkit. Apache-2
+- deepface (π₯36 Β· β 10K Β· π) - A Lightweight Face Recognition and Facial Attribute Analysis (Age,.. MIT
+- torchtext (π₯34 Β· β 3.5K Β· π) - Models, data loaders and abstractions for language.. BSD-3 MIT Apache-2 BSD-3 Apache-2