xarray by pydata

N-D labeled arrays and datasets in Python

created at Sept. 30, 2013, 5:21 p.m.

Python

106 -1

3,620 +5

1,084 +3

GitHub
geemap by gee-community

A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

created at March 8, 2020, 3:21 p.m.

Python

116 +0

3,473 +5

1,087 +2

GitHub
deap by DEAP

Distributed Evolutionary Algorithms in Python

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

Python

191 +0

5,852 +8

1,128 +0

GitHub
alphalens by quantopian

Performance analysis of predictive (alpha) stock factors

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

Jupyter Notebook

169 +1

3,384 +23

1,153 +7

GitHub
dvc by iterative

🦉 Data Versioning and ML Experiments

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

Python

135 +0

13,902 +30

1,187 +1

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.

C++

191 +0

8,091 +9

1,190 +2

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

194 +0

11,186 +7

1,194 +2

GitHub
tsfresh by blue-yonder

Automatic extraction of relevant features from time series:

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

Jupyter Notebook

171 +0

8,436 +7

1,214 +2

GitHub
gluon-cv by dmlc

Gluon CV Toolkit

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

Python

152 +0

5,833 +3

1,216 +0

GitHub
auto-sklearn by automl

Automated Machine Learning with scikit-learn

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

Python

215 +0

7,634 +13

1,280 +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

6,846 +2

1,283 +2

GitHub
sonnet by deepmind

TensorFlow-based neural network library

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

Python

423 +0

9,778 +6

1,299 +1

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

149 +1

8,811 +20

1,315 +1

GitHub
keras-rl by keras-rl

Deep Reinforcement Learning for Keras.

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

Python

200 +0

5,526 +2

1,364 +0

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

425 +0

10,569 +8

1,375 -2

GitHub
sktime by sktime

A unified framework for machine learning with time series

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

Python

108 +0

7,947 +19

1,375 +6

GitHub
autokeras by keras-team

AutoML library for deep learning

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

Python

301 +0

9,153 +4

1,402 +0

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

9,988 +15

1,543 +2

GitHub
BayesianOptimization by bayesian-optimization

A Python implementation of global optimization with gaussian processes.

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

Python

131 +0

7,919 +23

1,544 +2

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

288 +0

9,736 +5

1,572 +0

GitHub