SHAP

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

Explainable Machine Learning
started in 2016
2,665 commits
261 contributors

Rank

1575 126

Git Repositories

Started

2016-11-22 3,168 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 #2,064 2 contributors #1,719
Past 90 days 17 commits #2,042 10 contributors #1,227
Past 365 days 108 commits #2,055 36 contributors #1,050
Past 1095 days 411 commits #2,234 75 contributors #1,266
All time 2,665 commits 261 contributors

Contributing Individuals

Contributor 30 days 90 days 365 days 1095 days All time
154 Josh Wang
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154 Julius Bier Kirkegaard
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154 Kilian Lieret
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154 Pyry Jahkola
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154 RichardScottOZ
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154 Surag Nair
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154 Verdi March
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154 joelostblom
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154 zhiruiwang
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154 gareth
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154 Stepan Polokhin
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154 Nick Sorros
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154 tcbegley
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154 Shiva
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154 Michael Kuhlen
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154 jimmywan
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154 JeongWoo Choi
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154 Manuel
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154 Abhishek S
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154 AshishBodla
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Showing 161 to 180 of 261 results
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