Bias Python Packages

interpret-core

Fit interpretable models. Explain blackbox machine learning.

interpret

Fit interpretable models. Explain blackbox machine learning.

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.

dnikit

A Python toolkit for analyzing machine learning models and datasets.

debiai-gui

DebiAI easy start module, the standalone version of DebiAI

dbias

Detect, Recognize and de-bias textual data.

langfair

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

nlpguard

NLPGuard: A Framework for Mitigating the use of Protected Attributes in NLP

daindex

Quantifying Health Inequalities Induced by Data and AI Models

xai

XAI - An industry-ready machine learning library that ensures explainable AI by design

explainx

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ ms8909@nyu.edu

insurance-fairness

Proxy discrimination auditing for insurance pricing — FCA EP25/2, Consumer Duty, bias metrics

aequitas-lite

Bias Auditing & Fair ML Toolkit

risk-of-bias

AI enabled risk of bias assessment tools

fmm-fairness-eval

Foundation Model for Medicine — fairness/bias evaluation CLI for medical AI (research)

ai-bias-detect

Python Packaging Starting Kit - Simple Structure to creater your own package - for training purposes!

privyfilter

Privy filter is made to give the method for removing/accommodating for unethical bias in data.

cade

Compass-aligned Distributional Embeddings

fairlens

Identify bias and measure fairness of your data

fair-detect-group-a

A repository including a comparison between Google's What If Bias tool and fairdetect by Ryan Daher with some added improvements

ytdebunk

A CLI tool to automatically download audio .mp3 from a YouTube video link, transcribe it, refine and find logical errors in the transcription using AI.

powerlift

Interactive Benchmarking for Machine Learning.

equalityml

Algorithms for evaluating fairness metrics and mitigating unfairness in supervised machine learning

dnikit-torch

DNIKit PyTorch integration and support.