Shu

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

A Python package to assess and improve fairness of machine learning models.

An experimental platform for federated learning.

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

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).

A library that implements fairness-aware machine learning algorithms

Safety Score for Pre-Trained Language Models

A Python toolkit for analyzing machine learning models and datasets.