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

Search-Based Fairness Testing

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

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

Automatic Location of Disparities (ALD) for algorithmic audits.

Analysis of Students and Parents Datasets for Bias mitigation and Fairness

NuSMV models for traffic lights controlling a crossing of two one-way roads.

Data Challenge leading to "A Multidisciplinary Lens of Bias in Hate Speech" (ASONAM 2023)

This repository covers essential tools for machine learning with python, including but not limited to supervised and unsupervised models, natural language processing (NLP), and fairness auditing.