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
Apr 20, 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 🔎🤖🧰
Examples of unfairness detection for a classification-based credit model
A curated list of Robust Machine Learning papers/articles and recent advancements.
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
Automatic Location of Disparities (ALD) for algorithmic audits.
Data Challenge leading to "A Multidisciplinary Lens of Bias in Hate Speech" (ASONAM 2023)
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.
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