Open Source AI Tools

Modular Python Toolbox for Fairness, Accountability and Transparency Forensics

PyTorch implementation of parity loss as constraints function to realize the fairness of machine learning.

Differential privacy for computer vision

Testing tool for discovering unfair bias in machine learning models

Walkthrough the data science life cycle with different tools, techniques, and algorithms. Use AIF360, pandas, and Jupyter notebooks to build and deploy a model on Watson Machine Learning.

Fairness measures for machine learning models

this repo might get accepted

GitHub repo for FSE 2021 Paper - ``Bias in Machine Learning Software: Why? How? What to do?''

FairPrep is a design and evaluation framework for fairness-enhancing interventions that treats data as a first-class citizen.

Algorithm for learning fair rule lists

Unified framework to enable Model Interpretation

Library for adversarial attacks and defenses