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.
Bias Auditing & Fair ML Toolkit
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
BiasFinder | IEEE TSE | Metamorphic Test Generation to Uncover Bias for Sentiment Analysis Systems
⚖️ A bias audit tool for binary decision-making systems
Machine Learning Bias Mitigation
implementation of fair dummies
Search-Based Fairness Testing
NuSMV models for traffic lights controlling a crossing of two one-way roads.
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.
Simulate different outcomes and the probability of each player winning, in our team's game, 'Doggo Quest', during the King card game challenge.
Data Challenge leading to "A Multidisciplinary Lens of Bias in Hate Speech" (ASONAM 2023)
Automatic Location of Disparities (ALD) for algorithmic audits.
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