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.
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Updated
Jul 5, 2024 - Python
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.
moDel Agnostic Language for Exploration and eXplanation
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.
Bias Auditing & Fair ML Toolkit
Python code for training fair logistic regression classifiers.
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Identify bias and measure fairness of your data
A module which fairly distributes a list of arbitrary objects among a set of targets, considering weights.
A Python toolkit for analyzing machine learning models and datasets.
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
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.
PyTorch package to train and audit ML models for Individual Fairness
[ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation
[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
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