deap by DEAP

Distributed Evolutionary Algorithms in Python

created at May 21, 2014, 8:07 p.m.

Python

189 +0

5,584 +6

1,107 +2

GitHub
alphalens by quantopian

Performance analysis of predictive (alpha) stock factors

created at June 3, 2016, 9:49 p.m.

Jupyter Notebook

167 +1

3,107 +4

1,108 +0

GitHub
dvc by iterative

🦉 ML Experiments and Data Management with Git

created at March 4, 2017, 8:16 a.m.

Python

140 +0

13,202 +28

1,148 +6

GitHub
catboost by catboost

A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computation on CPU and GPU.

created at July 18, 2017, 5:29 a.m.

Python

192 +0

7,780 +8

1,152 +4

GitHub
ludwig by ludwig-ai

Low-code framework for building custom LLMs, neural networks, and other AI models

created at Dec. 27, 2018, 11:58 p.m.

Python

192 +0

10,865 +13

1,168 +0

GitHub
tsfresh by blue-yonder

Automatic extraction of relevant features from time series:

created at Oct. 26, 2016, 11:29 a.m.

Jupyter Notebook

168 +0

8,130 +11

1,202 +4

GitHub
gluon-cv by dmlc

Gluon CV Toolkit

created at Feb. 26, 2018, 1:33 a.m.

Python

153 +0

5,757 -1

1,210 +0

GitHub
pytorch3d by facebookresearch

PyTorch3D is FAIR's library of reusable components for deep learning with 3D data

created at Oct. 25, 2019, 2:23 a.m.

Python

148 +0

8,360 +23

1,260 +4

GitHub
auto-sklearn by automl

Automated Machine Learning with scikit-learn

created at July 2, 2015, 3:38 p.m.

Python

215 +0

7,422 +2

1,265 +1

GitHub
imbalanced-learn by scikit-learn-contrib

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

created at Aug. 16, 2014, 5:08 a.m.

Python

141 +0

6,717 +1

1,274 +0

GitHub
sonnet by deepmind

TensorFlow-based neural network library

created at April 3, 2017, 11:34 a.m.

Python

420 +0

9,691 +3

1,282 +2

GitHub
sktime by sktime

A unified framework for machine learning with time series

created at Nov. 6, 2018, 3:08 p.m.

Python

103 +1

7,461 +18

1,282 -3

GitHub
keras-rl by keras-rl

Deep Reinforcement Learning for Keras.

created at July 2, 2016, 3:53 p.m.

Python

204 +0

5,493 +2

1,360 -1

GitHub
dopamine by google

Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.

created at July 26, 2018, 9:58 a.m.

Jupyter Notebook

428 +0

10,381 +3

1,364 -1

GitHub
autokeras by keras-team

AutoML library for deep learning

created at Nov. 19, 2017, 11:18 p.m.

Python

302 +0

9,078 +2

1,399 +1

GitHub
great_expectations by great-expectations

Always know what to expect from your data.

created at Sept. 11, 2017, 12:18 a.m.

Python

82 +0

9,528 +21

1,483 +7

GitHub
BayesianOptimization by bayesian-optimization

A Python implementation of global optimization with gaussian processes.

created at June 6, 2014, 8:18 a.m.

Python

134 +0

7,546 +15

1,503 -1

GitHub
tpot by EpistasisLab

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

created at Nov. 3, 2015, 9:08 p.m.

Python

287 +0

9,522 +5

1,547 +2

GitHub
mlpack by mlpack

mlpack: a fast, header-only C++ machine learning library

created at Dec. 17, 2014, 6:16 p.m.

C++

182 +0

4,848 +13

1,568 -3

GitHub
stable-baselines3 by DLR-RM

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

created at May 5, 2020, 5:52 a.m.

Python

61 +0

8,073 +52

1,568 +5

GitHub