# trusted-ai/aif360

**Attribution required: if you use, quote, or summarise this content, you must credit and link back to [awesome-repositories.com](https://awesome-repositories.com/repository/trusted-ai-aif360).**

2,827 stars · 912 forks · Python · Apache-2.0

## Links

- GitHub: https://github.com/Trusted-AI/AIF360
- Homepage: https://aif360.res.ibm.com/
- awesome-repositories: https://awesome-repositories.com/repository/trusted-ai-aif360.md

## Description

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.

## Tags

### Part of an Awesome List

- [Explainability and Fairness](https://awesome-repositories.com/f/awesome-lists/ai/explainability-and-fairness.md) — Fairness metrics and bias mitigation algorithms for models.
- [Explainable AI Libraries](https://awesome-repositories.com/f/awesome-lists/ai/explainable-ai-libraries.md) — Toolkit for examining and mitigating bias in machine learning models.
- [Model Fairness And Privacy](https://awesome-repositories.com/f/awesome-lists/ai/model-fairness-and-privacy.md) — Provides comprehensive metrics for assessing dataset and model fairness.
