jphall663 / awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Date Created 2018-06-21 (6 years ago)

Commits 1,240 (last one 7 days ago)

Stargazers 3,736 (0 this week)

Watchers 131 (0 this week)

Forks 598

License cc0-1.0

Ranking

RepositoryStats indexes 628,089 repositories, of these jphall663/awesome-machine-learning-interpretability is ranked #13,762 (98th percentile) for total stargazers, and #12,642 for total watchers.

jphall663/awesome-machine-learning-interpretability is also tagged with popular topics, for these it's ranked: python (#966/23289), machine-learning (#475/8364), awesome (#290/3005), awesome-list (#254/2969), data-science (#169/2209), r (#21/1723), interpretability (#7/180)

Other Information

jphall663/awesome-machine-learning-interpretability has 1 open pull request on Github, 368 pull requests have been merged over the lifetime of the repository.

Github issues are enabled, there are 21 open issues and 48 closed issues.

All Topics

r xai python awesome fairness ai-safety secure-ml reliable-ai awesome-list data-science transparency explainable-ml interpretability interpretable-ai interpretable-ml machine-learning interpretable-machine-learning privacy-enhancing-technologies machine-learning-interpretability privacy-preserving-machine-learning

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832 commits on the default branch (master) since jan '22

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updated: 2025-03-18 @ 06:47am, id: 138181193 / R_kgDOCDx6SQ