SHAP

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

Explainable Machine Learning
started in 2016
2,664 commits
260 contributors

Rank

1570 154

Git Repositories

Started

2016-11-22 3,157 days ago

GitHub Stars

23,361 #528

Weekly commits since inception
2016 2020 2025

Weekly contributors since inception
2016 2020 2025

Recent Project Activity

Time Period Commits Contributors
Past 30 days 3 commits #2,083 2 contributors #1,723
Past 90 days 20 commits #1,971 10 contributors #1,237
Past 365 days 114 commits #2,034 36 contributors #1,055
Past 1095 days 410 commits #2,237 74 contributors #1,287
All time 2,664 commits 260 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
1 Scott Lundberg Microsoft
0 0 0 1 1,342
2 Connor Tann
0 1 36 171 172
3 CloseChoice
2 10 25 74 74
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 Ilya Matiach
0 0 0 0 40
8 Gabriel Tseng
0 0 0 0 35
9 Rory Mitchell
0 0 0 0 34
10 Quentin Ambard
0 0 0 0 28
11 Tobias Pitters
0 0 0 9 9
12 anusham1990
0 0 0 0 24
12 Tyler Reddy
0 0 4 4 4
12 Zakaria Nacer
0 0 0 8 8
15 Jocelin Su
0 0 0 0 21
15 Floid Gilbert
0 0 0 0 21
15 Zakaria Nacer
0 0 0 7 7
18 Jack T
0 2 2 2 2
18 lrjball
0 0 0 0 20
20 Primož Godec
0 0 0 4 7
Showing 1 to 20 of 260 results
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Contributing Companies

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