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 26, 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 curated list of awesome responsible machine learning resources.
A Python package to assess and improve fairness of machine learning models.
Gno: An interpreted, stack-based Go virtual machine to build succinct and composable apps + Gno.land: a blockchain for timeless code and fair open-source
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
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.
H2O.ai Machine Learning Interpretability Resources
Bias Auditing & Fair ML Toolkit
An experimental platform for federated learning.
Python code for training fair logistic regression classifiers.
A curated list of awesome Fairness in AI resources
Conformalized Quantile Regression
Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
A curated list of trustworthy deep learning papers. Daily updating...
A demonstration of the AI Fairness 360 toolbox for bias metrics, explanations, and remediation. Code Pattern: https://developer.ibm.com/patterns/ensuring-fairness-when-processing-loan-applications
A library that implements fairness-aware machine learning algorithms
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