Popular GitHub Repositories for Fairness

? Open-Source Evaluation & Testing for AI & LLM systems

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.

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.

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.

An experimental platform for federated learning.

Discover top AI coding tools for developers, including code editors, completion engines, and natural language converters. Enhance your workflow with AI! ?️?

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

H2O.ai Machine Learning Interpretability Resources

A curated list of trustworthy deep learning papers. Daily updating...

Tensorflow's Fairness Evaluation and Visualization Toolkit

Fair Resource Allocation in Federated Learning (ICLR '20)

LangFair is a Python library for conducting use-case level LLM bias and fairness assessments

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction

WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

Paper List for Fair Graph Learning (FairGL).

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