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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

aequitas

Bias and Fairness Audit Toolkit

aif360

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.

aix360

Interpretability and explainability of data and machine learning models

awesome-fairness-papers

Papers on fairness in NLP

bias-mitigation

ml-bias-analysis

compas-analysis

Data and analysis for 'Machine Bias'

differential-privacy-library

Diffprivlib: The IBM Differential Privacy Library

fairlearn

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

fairness_transferability

Fairness Transferability subject to Distribution Shift

folktables

Datasets derived from US census data

infairness

PyTorch package to train and audit ML models for Individual Fairness

lime

Lime: Explaining the predictions of any machine learning classifier

meps

This repository provides example code for loading and analyzing data from AHRQ's Medical Expenditure Panel Survey (MEPS). More information about the survey and access to public use data files is available on our website

mimic-iv-data-pipeline

A customizable pipeline for data extraction from MIMIC-IV.

ml-design-docs

📄 Design doc template & examples for machine learning systems (requirements, methodology, implementation, etc.)

piml-toolbox

PiML (Python Interpretable Machine Learning) toolbox for model development & diagnostics

practical-fairness-book

propublica_compas_data_revisited

Revisiting ProPublica's COMPAS score and two-year general recidivism dataset