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

1603 107

Git Repositories

Started

2016-11-22 3,165 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 #2,088 2 contributors #1,741
Past 90 days 16 commits #2,057 9 contributors #1,297
Past 365 days 109 commits #2,051 35 contributors #1,074
Past 1095 days 410 commits #2,237 74 contributors #1,284
All time 2,664 commits 260 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
48 Anita Graser AIT Austrian Institute of Technology
0 0 1 1 1
48 Iris Kalka
0 0 1 1 1
48 Chris Cave
0 0 1 1 1
48 Jeremiah
0 0 0 0 6
48 SFatemehM
0 0 1 1 1
48 Royi
0 0 1 1 1
48 Achraf Ez
0 0 1 1 1
48 Aaron R Hall
0 0 1 1 1
48 Ruslan Sungatullin
0 0 1 1 1
48 Adam Witmer
0 0 1 1 1
48 Corentin Santos
0 0 1 1 1
48 Chun
0 0 1 1 1
48 Tommaso Giacometti
0 0 1 1 1
48 Valerio Mariani
0 0 1 1 1
75 ihopethiswillfi
0 0 0 0 5
75 Sachin Varghese
0 0 0 0 5
77 canorbal
0 0 0 0 4
77 aaronwtr
0 0 0 0 4
77 SleepyPepperHead
0 0 0 0 4
77 Simon Brugman
0 0 0 0 4
Showing 61 to 80 of 260 results
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Contributing Companies

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