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.

434 +0

16,698 +19

3,834 +1

few by lacava

a feature engineering wrapper for sklearn

created at Aug. 10, 2016, 7:42 p.m.

9 +0

51 +0

22 +0

pytorch by pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

created at Aug. 13, 2016, 5:26 a.m.

1,743 +1

83,990 +192

22,642 +50

Paddle by PaddlePaddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

created at Aug. 15, 2016, 6:59 a.m.

716 +0

22,259 +22

5,595 +12

SMAC3 by automl

SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization

created at Aug. 17, 2016, 10:58 a.m.

42 +0

1,085 +2

225 +1

imbalanced-algorithms by dialnd

Python-based implementations of algorithms for learning on imbalanced data.

created at Aug. 24, 2016, 8:59 p.m.

13 +0

235 +0

100 +0

eli5 by TeamHG-Memex

A library for debugging/inspecting machine learning classifiers and explaining their predictions

created at Sept. 15, 2016, 1:04 a.m.

69 +0

2,757 +0

334 +0

scikit-rebate by EpistasisLab

A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.

created at Sept. 19, 2016, 1:36 p.m.

25 +0

409 +1

73 +0

pycma by CMA-ES

Python implementation of CMA-ES

created at Sept. 22, 2016, 1:55 p.m.

16 +0

1,109 +2

179 +1

tensorlight by bsautermeister

TensorLight - A high-level framework for TensorFlow

created at Oct. 19, 2016, 2:35 p.m.

3 +0

11 +0

5 +0

POT by PythonOT

POT : Python Optimal Transport

created at Oct. 20, 2016, 2:42 p.m.

47 +0

2,431 +5

502 +2

Surprise by NicolasHug

A Python scikit for building and analyzing recommender systems

created at Oct. 23, 2016, 2:59 p.m.

146 +0

6,413 +4

1,016 +1

tsfresh by blue-yonder

Automatic extraction of relevant features from time series:

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

171 +0

8,436 +7

1,214 +2

cupy by cupy

NumPy & SciPy for GPU

created at Nov. 1, 2016, 9:54 a.m.

128 +0

9,485 +30

854 +3

vecstack by vecxoz

Python package for stacking (machine learning technique)

created at Nov. 8, 2016, 1:23 p.m.

21 +0

685 +0

83 +0

vision by pytorch

Datasets, Transforms and Models specific to Computer Vision

created at Nov. 9, 2016, 11:11 p.m.

435 -1

16,257 +43

6,956 +5

thundergbm by Xtra-Computing

ThunderGBM: Fast GBDTs and Random Forests on GPUs

created at Nov. 11, 2016, 9:58 a.m.

26 +0

693 +0

86 +0

prophet by facebook

Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.

created at Nov. 16, 2016, 1:50 a.m.

453 +0

18,512 +34

4,532 +1

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.

245 +1

22,880 +52

3,290 +0

tick by X-DataInitiative

Module for statistical learning, with a particular emphasis on time-dependent modelling

created at Dec. 1, 2016, 10:59 a.m.

36 +0

490 +0

108 +1