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.

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

推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.

moDel Agnostic Language for Exploration and eXplanation (JMLR 2018; JMLR 2021)

Bias Auditing & Fair ML Toolkit

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

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

Python code for training fair logistic regression classifiers.

A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust, NeurIPS 2024 Track Datasets and Benchmarks)

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

Identify bias and measure fairness of your data

A Python toolkit for debiasing neural networks in image classification tasks

A Python toolkit for analyzing machine learning models and datasets.

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

A module which fairly distributes a list of arbitrary objects among a set of targets, considering weights.

Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.

A Python package to facilitate research on building and evaluating automated scoring models.

[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging

A PyTorch implementation of "Say No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information" (WSDM 2021)