#Fairness
Showing 27 of 27 repositories tagged #fairness, ranked by stars
A curated list of awesome responsible machine learning resources.
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.
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.
moDel Agnostic Language for Exploration and eXplanation
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.
A Go library for serving resources fairly
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
An experimental platform for federated learning.
H2O.ai Machine Learning Interpretability Resources
A curated list of trustworthy deep learning papers. Continually updating...
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
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
A curated list of papers and resources about the distribution shift in machine learning.
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
This is a collection of papers and other resources related to fairness.
Identify bias and measure fairness of your data
Python toolkit for debiasing neural networks in image classification tasks
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
A Python toolkit for analyzing machine learning models and datasets.
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.
A Python package to facilitate research on building and evaluating automated scoring models.
List of references about Machine Learning bias and ethics
This is the repo for the survey of Bias and Fairness in IR with LLMs.
Lightweight ML bias detection toolkit
Auditing algorithmic bias in criminal justice, hiring, lending, healthcare, and welfare: 6 open-source audits, measurable fairness gaps, and concrete fixes.