SHAP

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

Explainable Machine Learning
started in 2016
2,655 commits
257 contributors

Rank

1290 149

Git Repositories

Started

2016-11-22 3,112 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 7 commits #1,833 6 contributors #1,073
Past 90 days 29 commits #1,866 16 contributors #914
Past 365 days 148 commits #1,922 38 contributors #1,016
Past 1095 days 480 commits #2,165 78 contributors #1,254
All time 2,655 commits 257 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
1 Scott Lundberg Microsoft
0 0 0 53 1,342
2 Connor Tann
1 1 56 171 172
3 CloseChoice
2 12 29 68 68
4 Ryan Serrao
0 0 0 0 232
5 Jeremy Goh
0 0 13 51 51
6 Vivek Chettiar
0 0 0 0 61
7 Tobias Pitters
0 0 7 9 9
8 Ilya Matiach
0 0 0 0 40
9 Gabriel Tseng
0 0 0 0 35
10 Rory Mitchell
0 0 0 0 34
11 Alexis Drakopoulos
0 0 0 10 10
12 Quentin Ambard
0 0 0 0 28
13 toblab96
0 0 0 9 9
14 Jack T
1 2 2 2 2
15 anusham1990
0 0 0 0 24
15 Tyler Reddy
0 0 4 4 4
15 Zakaria Nacer
0 0 0 8 8
18 Zakaria Nacer
0 0 0 7 7
18 Jocelin Su
0 0 0 0 21
18 Floid Gilbert
0 0 0 0 21
Showing 1 to 20 of 257 results
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Contributing Companies

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