SHAP

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

Explainable Machine Learning
started in 2016
2,656 commits
258 contributors

Rank

1258 170

Git Repositories

Started

2016-11-22 3,116 days ago

GitHub Stars

23,361 #529

Weekly commits since inception
2016 2020 2025

Weekly contributors since inception
2016 2020 2025

Recent Project Activity

Time Period Commits Contributors
Past 30 days 8 commits #1,768 7 contributors #968
Past 90 days 28 commits #1,873 15 contributors #952
Past 365 days 144 commits #1,935 39 contributors #997
Past 1095 days 479 commits #2,165 79 contributors #1,242
All time 2,656 commits 258 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
36 Ruslan Sungatullin
0 1 1 1 1
42 Lakshman
0 0 0 3 3
42 Weichen Xu Databricks
0 0 0 3 3
42 Owen Lamont
0 0 0 3 3
42 Jorge C. Leitao Munin Data
0 0 0 0 9
42 Christoph Ostrau
0 0 1 2 2
47 KOLANICH
0 0 0 0 8
48 alexander
0 0 0 0 7
48 Guillaume Lemaitre Inria
0 0 1 1 2
48 xzzxzxxz
0 0 0 0 7
48 Janis Klaise
0 0 0 2 3
48 ZHAO Jiecheng
0 0 0 0 7
53 Paul Koch Microsoft
0 0 1 1 1
53 Jacques Verre
0 0 0 0 6
53 Parsa Torabian
0 0 0 0 6
53 Reese Hyde
0 0 0 2 2
53 David Born
0 0 1 1 1
53 Moritz Augustin
0 0 0 0 6
53 Anita Graser AIT Austrian Institute of Technology
0 0 1 1 1
53 Jeremiah
0 0 0 0 6
Showing 41 to 60 of 258 results
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Contributing Companies

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