A Python package to assess and improve fairness of machine learning models.

Julia Toolkit with fairness metrics and bias mitigation algorithms

Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency

This project is a FAIRness assessment tool for ontologies, vocabularies and semantic resources.

Repository for the DBSec 2023 paper "(Local) Differential Privacy has NO Disparate Impact on Fairness"

Algorithmic inspection for trustworthy ML models

implementation of fair dummies

This hosts the code and appendix of the RecSys 2025 short paper "Stairway to Fairness: Connecting Group and Individual Fairness"

Python package that finds biased language in text, explains why, suggests neutral wording, and rewrites the whole text. Use from CLI, API, or Python.

US Income Tax Audit Algorithms

Code accompanying ACM TORS paper "Relevance-aware Individual Item Fairness Measures for Recommender Systems: Limitations and Usage Guidelines" (Accepted in 2025)