LightGBM by Microsoft

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

created at Aug. 5, 2016, 5:45 a.m.

C++

434 +0

16,698 +19

3,834 +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

425 +0

10,569 +8

1,375 -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
pyecharts by pyecharts

🎨 Python Echarts Plotting Library

created at June 22, 2017, 2:50 a.m.

Python

380 +1

14,906 +10

2,852 -2

GitHub
jax by jax-ml

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

created at Oct. 25, 2018, 9:25 p.m.

Python

337 +3

30,510 +74

2,802 +7

GitHub
horovod by horovod

Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.

created at Aug. 9, 2017, 7:39 p.m.

Python

335 +0

14,260 +10

2,240 -1

GitHub
text by pytorch

Models, data loaders and abstractions for language processing, powered by PyTorch

created at Dec. 12, 2016, 12:56 a.m.

Python

309 +0

3,514 +0

811 +0

GitHub
DMTK by Microsoft

Microsoft Distributed Machine Learning Toolkit

created at Nov. 8, 2015, 3:32 a.m.

Unknown languages

308 +0

2,745 +0

559 +0

GitHub
mlflow by mlflow

Open source platform for the machine learning lifecycle

created at June 5, 2018, 4:05 p.m.

Python

303 +0

18,779 +52

4,238 +8

GitHub
netron by lutzroeder

Visualizer for neural network, deep learning and machine learning models

created at Dec. 26, 2010, 12:53 p.m.

JavaScript

302 +1

28,151 +65

2,793 +12

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
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
statsmodels by statsmodels

Statsmodels: statistical modeling and econometrics in Python

created at June 12, 2011, 5:04 p.m.

Python

283 +0

10,150 +26

2,885 +5

GitHub
seaborn by mwaskom

Statistical data visualization in Python

created at June 18, 2012, 6:41 p.m.

Python

264 +0

12,572 +19

1,926 +5

GitHub
lime by marcotcr

Lime: Explaining the predictions of any machine learning classifier

created at March 15, 2016, 10:18 p.m.

JavaScript

261 +0

11,615 +14

1,810 +3

GitHub
pytorch_geometric by pyg-team

Graph Neural Network Library for PyTorch

created at Oct. 6, 2017, 4:03 p.m.

Python

252 +0

21,387 +49

3,670 +12

GitHub
pytorch-lightning by PyTorchLightning

Pretrain, finetune ANY AI model of ANY size on multiple GPUs, TPUs with zero code changes.

created at March 31, 2019, 12:45 a.m.

Python

250 +1

28,392 +45

3,384 +1

GitHub
shap by shap

A game theoretic approach to explain the output of any machine learning model.

created at Nov. 22, 2016, 7:17 p.m.

Jupyter Notebook

245 +1

22,880 +52

3,290 +0

GitHub
imgaug by aleju

Image augmentation for machine learning experiments.

created at July 10, 2015, 8:31 p.m.

Python

229 +0

14,417 +14

2,444 +0

GitHub
pymc by pymc-devs

Bayesian Modeling and Probabilistic Programming in Python

created at Feb. 20, 2015, 5:12 p.m.

Python

226 +1

8,720 +6

2,015 +4

GitHub