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- Current results
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Trusted-AI/adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
- Updated
- 2025-12-12
- Lists
- 2 list mentions
- First commit
- 2017-05-09
- History
- 5 history points
- License
- MIT
- Issues
- 17 open
- Forks
- 1,320
- Commits
- 13,057 commits
- Star growth, last 7 days
- No 7-day history
- Commit velocity, last 7 days
- No 7-day history
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning models, explanations for these metrics, and algorithms to mitigate bias in datasets and models.
GitHub topics
- Updated
- 2026-06-15
- Lists
- 2 list mentions
- First commit
- 2018-08-22
- History
- 7 history points
- License
- Apache-2.0
- Issues
- 221 open
2,838
stars
- Forks
- 912
- Commits
- 441 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
Trusted-AI/AIX360
Interpretability and explainability of data and machine learning models
- Updated
- 2026-05-22
- Lists
- 2 list mentions
- First commit
- 2019-07-11
- History
- 7 history points
- License
- Apache-2.0
- Issues
- 57 open
1,787
stars
- Forks
- 325
- Commits
- 633 commits
- Star growth, last 7 days
- 0 0.0%
- Commit velocity, last 7 days
- 0 0.0%
