jphall663/awesome-machine-learning-interpretability
jphall663/awesome-machine-learning-interpretability has 4,084 GitHub stars and 630 forks. GitHot measured 0 stars in 24 hours and +2 in 7 days. Last checked 2026-11-08 14:43 UTC. Last push 2026-06-03.
A curated list of awesome responsible machine learning resources.
Measured star growth
- in 24h
- 0
- in 7 days
- +2
- in 15 days
- Collecting history
- in 1 month
- Collecting history
Net star changes over overlapping periods, not daily totals. Missing measurements are left blank. Stars measure attention, not software quality.
README.md
OriginalAwesome Machine Learning Interpretability
This repository has been reorganized into the HallResearch.ai Library.
The HallResearch.ai Library is the current home for this project’s curated resources on responsible AI, AI governance, machine learning assessment, implementation practice, policy, institutional guidance, incidents, accountability, and related research materials.
Current Library
Please use the HallResearch.ai Library as the main entry point:
Library Main Branches
Legacy Note
This repository is preserved for continuity because it was the original home of the project. See the archive folder. The collection has since been reorganized, expanded, and moved into the HallResearch.ai GitHub organization.
Future updates will be made through the HallResearch.ai Library repositories rather than this legacy repository.
Explore related projects
sindresorhus/awesome
😎 Awesome lists about all kinds of interesting topics [NOTE: Pull requests are temporarily disabled until I have a chance to catch up with the existing ones]
533,870 starsEbookFoundation/free-programming-books
:books: Freely available programming books
401,302 starsnilbuild/developer-roadmap
Interactive roadmaps, guides and other educational content to help developers grow in their careers.
371,569 starsvinta/awesome-python
The definitive list that answers "I want to do X in Python, which tool should I use?"
333,441 stars