jphall663 / awesome-machine-learning-interpretability
A curated list of awesome responsible machine learning resources.
Why this job: name: awesome; says: curated list; topics: awesome-list, awesome
What it does
This repository has been reorganized into the HallResearch.ai Library.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 4,084
- +2 this week
- Licence
- CC0-1.0
- Read the terms
- Downloads for
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Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 69% closed
- 22 still open
- Pull requests
- 449 merged
- 5 waiting
- Releases
- None
- Never published
- No contributing guide
- No security policy
- No code of conduct
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More: topics and project record
Topics
- fairness
- xai
- interpretability
- transparency
- machine-learning
- data-science
- python
- r
- awesome
- awesome-list
- machine-learning-interpretability
- interpretable-machine-learning
Project record
- JobLists and guides
- StatusListed
- Commits1,449
- Forks630
- Watching122
- Stars in 28 days+14
- CreatedJun 21, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026