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.
Why this job: matched by what the repo talks about: dataset, model, learn, comprehensive
What it does
The AI Fairness 360 toolkit is an extensible open-source library containing techniques developed by the research community to help detect and mitigate bias in machine learning models throughout the AI application lifecycle. AI Fairness 360 package is available in both Python and R.
Get started
pip install aif360- Maintenance
- Active
- Last commit 5 months ago
- Stars
- 2,882
- +1 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.6.1
- Released 2 years ago
- Built with
- Python
- 96% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 40% closed
- 159 still open
- Pull requests
- 200 merged
- 76 waiting
- Releases
- 12
- 0 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 96%
- R 3%
- Java 1%
- Dockerfile <1%
Topics
- ai
- fairness-ai
- fairness
- fairness-testing
- fairness-awareness-model
- bias-detection
- bias
- bias-correction
- bias-reduction
- bias-finder
- artificial-intelligence
- discrimination
Project record
- JobEvals and observability
- StatusListed
- Commits441
- Forks917
- Watching89
- Stars in 28 days+7
- CreatedAug 22, 2018
- First seen by usNov 7, 2026
- CheckedNov 8, 2026