README.md

FairBench

A comprehensive AI fairness exploration framework.

• 📈 Fairness reports and stamps
• 🎏 Multivalue multiattribute
• 🛠️ Measure building blocks
• ⚙️ ML integration (numpy,torch,tensorflow,jax)

FairBench strives to be compatible with the latest Python release, but compatibility delays of third-party ML libraries usually means that only the language's previous release is tested and stable (currently 3.12).

Documentation

Benchmarks

Attributions

@article{krasanakis2024standardizing,
      title={Towards Standardizing AI Bias Exploration}, 
      author={Emmanouil Krasanakis and Symeon Papadopoulos},
      year={2024},
      eprint={2405.19022},
      archivePrefix={arXiv},
      primaryClass={cs.LG}
}

Maintainer: Emmanouil (Manios) Krasanakis ([email protected])
License: Apache 2.0
Contributors: Giannis Sarridis

This project includes modified code originally licensed under the MIT License:

• ReBias. (Copyright © 2020-present NAVER Corp)
  Modifications © 2024 Emmanouil Krasanakis.
  See fairbench/bench/vision/datasets/mnist/ for details.