nltk by nltk

NLTK Source

created at Sept. 7, 2009, 10:53 a.m.

Python

464 +1

13,133 +20

2,831 +1

GitHub
pyecharts by pyecharts

🎨 Python Echarts Plotting Library

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

Python

378 +0

14,541 +14

2,833 -1

GitHub
statsmodels by statsmodels

Statsmodels: statistical modeling and econometrics in Python

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

Python

281 +1

9,644 +24

2,834 +8

GitHub
dgl by dmlc

Python package built to ease deep learning on graph, on top of existing DL frameworks.

created at April 20, 2018, 2:49 p.m.

Python

168 +0

13,104 +23

2,971 +5

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

240 +0

21,863 +47

3,183 +0

GitHub
pytorch-lightning by PyTorchLightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

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

Python

245 +0

27,184 +41

3,265 -1

GitHub
dlib by davisking

A toolkit for making real world machine learning and data analysis applications in C++

created at Jan. 29, 2014, 12:45 a.m.

C++

477 -1

13,118 +26

3,324 +1

GitHub
pytorch_geometric by pyg-team

Graph Neural Network Library for PyTorch

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

Python

255 +0

20,374 +41

3,547 +3

GitHub
onnx by onnx

Open standard for machine learning interoperability

created at Sept. 7, 2017, 4:53 a.m.

Python

437 +0

17,033 +30

3,610 -2

GitHub
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++

435 +0

16,161 +13

3,782 -1

GitHub
mlflow by mlflow

Open source platform for the machine learning lifecycle

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

Python

289 +0

17,607 +134

3,982 +18

GitHub
bokeh by bokeh

Interactive Data Visualization in the browser, from Python

created at March 26, 2012, 3:40 p.m.

Python

443 +0

18,922 +19

4,159 -1

GitHub
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.

Python

441 +3

17,896 +23

4,466 +4

GitHub
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.

C++

721 -1

21,689 +16

5,452 +4

GitHub
mxnet by apache

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

created at April 30, 2015, 4:21 p.m.

C++

1,070 +0

20,716 -3

6,814 -1

GitHub
vision by pytorch

Datasets, Transforms and Models specific to Computer Vision

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

Python

417 +2

15,587 +30

6,856 +3

GitHub
matplotlib by matplotlib

matplotlib: plotting with Python

created at Feb. 19, 2011, 3:17 a.m.

Python

594 +0

19,475 +40

7,442 +9

GitHub
gym by openai

A toolkit for developing and comparing reinforcement learning algorithms.

created at April 27, 2016, 2:59 p.m.

Python

1,063 +1

34,024 +30

8,570 +0

GitHub
xgboost by dmlc

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

created at Feb. 6, 2014, 5:28 p.m.

C++

912 +0

25,681 +20

8,672 +3

GitHub
caffe by BVLC

Caffe: a fast open framework for deep learning.

created at Sept. 12, 2013, 6:39 p.m.

C++

2,098 -1

33,903 +9

18,732 -5

GitHub