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.

Bias Auditing & Fair ML Toolkit

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

A curated list of Robust Machine Learning papers/articles and recent advancements.

Examples of unfairness detection for a classification-based credit model

Article for Special Edition of Information: Machine Learning with Python

⚖️ A bias audit tool for binary decision-making systems

BiasFinder | IEEE TSE | Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems

Machine Learning Bias Mitigation

implementation of fair dummies

FaireduPlus: Enhancing Intersectional Fairness in Education-Focused Machine Learning Using Synthetic Data

My Own Repository with workfolders and others such as Group Projects etc...

Search-Based Fairness Testing

An official implementation for "Fairness Evaluation in Deepfake Detection Models using Metamorphic Testing"

Agent Indoctrination – AI Safety, Bias, Fairness, Ethics & Compliance Testing Framework 🚀

Trabajo práctico final de la materia "Equidad en Aprendizaje Automático" de la Licenciatura en Ciencia de Datos (UNSAM). 1C-2025

Analysis of Students and Parents Datasets for Bias mitigation and Fairness

Automatic Location of Disparities (ALD) for algorithmic audits.