Fairness Bias Auditing ML Frameworks
Tools and frameworks for measuring, auditing, and mitigating bias and fairness issues in ML models and datasets. Includes bias detection metrics, fairness evaluation pipelines, and debiasing algorithms. Does NOT include general ML ethics resources, responsible AI governance frameworks, or fairness theory papers without implementation code.
There are 60 fairness bias auditing frameworks tracked. 1 score above 70 (verified tier). The highest-rated is fairlearn/fairlearn at 78/100 with 2,213 stars. 2 of the top 10 are actively maintained.
Get all 60 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
fairlearn/fairlearn
A Python package to assess and improve fairness of machine learning models. |
|
Verified |
| 2 |
Trusted-AI/AIF360
A comprehensive set of fairness metrics for datasets and machine learning... |
|
Established |
| 3 |
microsoft/responsible-ai-toolbox
Responsible AI Toolbox is a suite of tools providing model and data... |
|
Established |
| 4 |
holistic-ai/holisticai
This is an open-source tool to assess and improve the trustworthiness of AI systems. |
|
Established |
| 5 |
EFS-OpenSource/Thetis
Service to examine data processing pipelines (e.g., machine learning or deep... |
|
Emerging |
| 6 |
IBM/inFairness
PyTorch package to train and audit ML models for Individual Fairness |
|
Emerging |
| 7 |
datamllab/awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources |
|
Emerging |
| 8 |
linkedin/LiFT
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables... |
|
Emerging |
| 9 |
DataResponsibly/Virny
An in-depth performance profiling library for machine learning models |
|
Emerging |
| 10 |
ResponsiblyAI/responsibly
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems ππ€π§° |
|
Emerging |
| 11 |
debiai/DebiAI
Bias detection and contextual evaluation tool for your AI projects |
|
Emerging |
| 12 |
cylynx/verifyml
Open-source toolkit to help companies implement responsible AI workflows. |
|
Emerging |
| 13 |
yongkaiwu/FairAI
This is a collection of papers and other resources related to fairness. |
|
Emerging |
| 14 |
Libr-AI/fairlib
A framework for assessing and improving classification fairness. |
|
Emerging |
| 15 |
pliang279/LM_bias
[ICML 2021] Towards Understanding and Mitigating Social Biases in Language Models |
|
Emerging |
| 16 |
Ali-Alameer/AI_fairness
This GitHub repository offers resources to create fair and unbiased AI... |
|
Emerging |
| 17 |
xuetf/KDD_CUP_2020_Debiasing_Rush
Solution to the Debiasing Track of KDD CUP 2020 |
|
Emerging |
| 18 |
adhit-r/fairmind
Ethical AI Governance Platform | Bias Detection | Compliance | Fairness... |
|
Emerging |
| 19 |
EqualityAI/EqualityML
Evidence-based tools and community collaboration to end algorithmic bias,... |
|
Emerging |
| 20 |
biaslyze-dev/biaslyze
The NLP Bias Identification Toolkit |
|
Emerging |
| 21 |
microsoft/responsible-ai-toolbox-mitigations
Python library for implementing Responsible AI mitigations. |
|
Emerging |
| 22 |
mirianfsilva/ai-fairness
Notes, references and materials on AI Fairness that I found useful and... |
|
Emerging |
| 23 |
JMitnik/FacialDebiasing
Debiasing: Mitigating Algorithmic Facial Bias repository |
|
Emerging |
| 24 |
guldoganozgur/ei_fairness
Code for the paper "Equal Improvability: A New Fairness Notion Considering... |
|
Emerging |
| 25 |
brandeis-machine-learning/awesome-ml-fairness
Papers and online resources related to machine learning fairness |
|
Emerging |
| 26 |
ys-zong/MEDFAIR
[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging |
|
Emerging |
| 27 |
nick-jhlee/fair-manifold-pca
Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold... |
|
Emerging |
| 28 |
radames/Machine-Learning-Ethics-References
List of references about Machine Learning bias and ethics |
|
Emerging |
| 29 |
uiuctml/fair-classification
Post-processing for fair classification |
|
Emerging |
| 30 |
aman179102/trust-aware
A trust-aware, human-in-the-loop AI decision system that knows when not to... |
|
Emerging |
| 31 |
DetoxAI/detoxai
Python toolkit for debiasing neural networks in image classification tasks |
|
Emerging |
| 32 |
romanlutz/ResponsibleAI
A collection of news articles, books, and papers on Responsible AI cases.... |
|
Emerging |
| 33 |
aimms/bias-in-ai
Shows how machine learning bias can be illustrated by creating an AIMMS... |
|
Emerging |
| 34 |
yuji-roh/fairbatch
FairBatch: Batch Selection for Model Fairness (ICLR 2021) |
|
Experimental |
| 35 |
nmaudet/fairdiv-indivisible-items
A collection of simple algorithms for fair division of indivisible items |
|
Experimental |
| 36 |
Trustworthy-ML-Lab/Training_Trustworthy_LRM_with_Refine
A new training framework for Trustworthy Large Reasoning Models |
|
Experimental |
| 37 |
aida-ugent/fairret
A fairness library in PyTorch. |
|
Experimental |
| 38 |
Doleus/doleus
Build confidence in your AI with systematic slice-based testing |
|
Experimental |
| 39 |
MaxPaez/fairness-analysis-pima
π Analyze fairness in Machine Learning models using the Pima Diabetes... |
|
Experimental |
| 40 |
Jatin-sehgal7060/Cognitivelens-AI-Human-Comparison
π€ Analyze and compare human and AI decision-making to enhance trust,... |
|
Experimental |
| 41 |
FreakyF/Neural-Injustice
Experimental research platform for biometric correlation and algorithmic bias. |
|
Experimental |
| 42 |
SayMyName-BiasNaming/samyna-tmlr
Source code supporting the paper "Say My Name: a Model's Bias Discovery Framework" |
|
Experimental |
| 43 |
jmdvinodjmd/SSB_MLHC
Official code for the paper βSample Selection Bias in Machine Learning for... |
|
Experimental |
| 44 |
Aqib121201/WohnFair-cryptographically-auditable-housing-allocation-system
Ξ±-fair, cryptographically auditable housing allocation system β reproducible... |
|
Experimental |
| 45 |
ArpitaRandive/Fairness-Aware-Reinforcement-Learning-Under-Distribution-Shift
This project simulates a public resource allocation system inspired by... |
|
Experimental |
| 46 |
Tonyhrule/Queer-Bias-LLMs
This project implements a collaborative agent pipeline to detect and reduce... |
|
Experimental |
| 47 |
messihjlee/RM-IAT
Replication Materials for "Implicit Bias-Like Patterns in Reasoning Models" |
|
Experimental |
| 48 |
ValentinLafargue/FairnessDetails
Fairness is in the details : an auditing pipeline for face datasets |
|
Experimental |
| 49 |
djvill/SLAC-Fairness
Tools to assess fairness and mitigate unfairness in sociolinguistic auto-coding |
|
Experimental |
| 50 |
Shaw1011/AI-Ethics-Auditor
Production-grade platform for auditing AI/ML models for fairness,... |
|
Experimental |
| 51 |
DIDSR/bias.myti.report
A visualization tool to facilitate the comparison of user-implemented bias... |
|
Experimental |
| 52 |
zroe1/toy-models-of-superposition
A replication of "Toy Models of Superposition," a groundbreaking machine... |
|
Experimental |
| 53 |
emanzahrashah/hiring-bias-fairness-analysis
An end-to-end data science project analyzing bias and fairness in an... |
|
Experimental |
| 54 |
citp/fairness_diagnostics
Tool to visualize and diagnose fairness issues in machine learning |
|
Experimental |
| 55 |
autumninthecloud/IM_w_fairness
Our group capstone project site for UC Berkeley's MIDS W210/Capstone. |
|
Experimental |
| 56 |
Team-Obisidan/Biases-im-Machine-Learning
This German scientific poster (developed as HTML5/React web app) shows the... |
|
Experimental |
| 57 |
iurada/fairness_crossdomain
Official repository of our work "Fairness meets Cross-Domain Learning: a... |
|
Experimental |
| 58 |
AI-for-Business/FairDice
Through an engaging classroom experiment featuring a simple game, we aim to... |
|
Experimental |
| 59 |
AlexKubiesa/area-under-the-margin-ranking
Implementation of the research paper Identifying Mislabeled Data using the... |
|
Experimental |
| 60 |
lucianosb/sinteticoxl-bias
tool to evaluate biases on the SinteticoXL Models |
|
Experimental |