SHAP

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

Explainable Machine Learning
started in 2016
2,651 commits
254 contributors

Rank

1335 6

Git Repositories

Started

2016-11-22 3,089 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 10 commits #1,650 5 contributors #1,183
Past 90 days 28 commits #1,898 14 contributors #1,021
Past 365 days 150 commits #1,919 35 contributors #1,081
Past 1095 days 487 commits #2,165 78 contributors #1,263
All time 2,651 commits 254 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
1 Scott Lundberg Microsoft
0 0 0 59 1,342
2 Connor Tann
1 1 57 171 172
3 CloseChoice
5 11 31 67 67
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 9 9 9
8 Ilya Matiach
0 0 0 3 40
9 Tyler Reddy
0 3 4 4 4
10 Gabriel Tseng
0 0 0 0 35
11 Rory Mitchell
0 0 0 0 34
12 Alexis Drakopoulos
0 0 0 10 10
12 Jack T
2 2 2 2 2
14 Quentin Ambard
0 0 0 0 28
15 toblab96
0 0 0 9 9
16 Zakaria Nacer
0 0 0 8 8
16 anusham1990
0 0 0 0 24
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 254 results
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Contributing Companies

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