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
May 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.
Python code for training fair logistic regression classifiers.
Crop/Weed Field Image Dataset
A library that implements fairness-aware machine learning algorithms
Fair ML in credit scoring: Assessment, implementation and profit implications
Unsupervised (Self-Supervised) Clustering of Seismic Signals Using Deep Convolutional Autoencoders
A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.
List of references about Machine Learning bias and ethics
This collection of codes can be used for extracting features from continuous seismic signals for different machine learning tasks.
R package for computing and visualizing fair ML metrics
Report.it è un applicativo Android/iOS sviluppato per lottare contro qualsiavoglia forma di discriminazione.
Classifying hate speech with deep learning (honors thesis 2017-18)
Играбельный пост о том, как безобидный выбор способен сделать мир неблагоприятным.
Some @scikit-learn compatible tools to address fairness issues in classification problems.
Archived repo (see Readme) - R package for regression and discrimination, with special focus on chemometrics and high-dimensional data.
Workshop with readings and exercises on the politics of tech.
Benefit claimants face landlord discrimination despite ruling
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