aif360 开源项目推荐（50 个）

firmai /ml-fairness-framework

FairPut - 基于LightGBM的机器学习公平性框架——可解释性、稳健性、公平性（@firmai）

IBMDeveloperUK /Trusted-AI-Workshops

Introduction to trusted AI. Learn to use fairness algorithms to reduce and mitigate bias in data and models with aif360 and explain models with aix360

carpentries-incubator /fair-explainable-ml

Fair and explainable ML workshop

garethjns /Kaggle-Titanic

Trying out things on Kaggle's Titanic dataset

kennethleungty /Responsible-AI-Masterclass

Responsible AI Masterclass (June 2024 Run)

MarioCicalese /Impact-of-Data-Smells-on-Fairness-in-ML-Solutions

This project investigates the relationship between data quality issues (data smells) and fairness in machine learning (ML) models. By applying various fairness metrics and bias mitigation algorithms to multiple datasets, we aim to answer critical questions regarding the ethical implications of poor data quality in AI systems.

IBMDeveloperMEA /AI-Ethics

Fairness in data, and machine learning algorithms is critical to building safe and responsible AI systems from the ground up by design. Both technical and business AI stakeholders are in constant pursuit of fairness to ensure they meaningfully address problems like AI bias. While accuracy is one metric for evaluating the accuracy of a machine le…

LouisBrammer /AI-Fair-Inter

My Own Repository with workfolders and others such as Group Projects etc...

srilekhatv /Loan-Default-Interpretability

Predicting loan defaults using Random Forest with SMOTE, SHAP, LIME, and fairness evaluation via AIF360 and Fairlearn

SuhanaSayyad /ai-act-credit-compliance

Automated EU AI Act compliance tool for high-risk credit scoring AI. Five assessments (FRIA, Cybersecurity, XAI, Bias, Risk) from one questionnaire. Built with Neo4j, SHAP, IBM AIF360, FastAPI, and React.

mvharsh /Credit-Card-Offer-Acceptance-Prediction

An ethically-aware deep learning project to predict credit card offer acceptance while mitigating income-based bias using SHAP, Fairlearn, and AIF360.

lobadiah /Bias-and-Fairness-in-AI-Systems-Empirical-Validation-Through-Reweighing-Mitigation

“Bias and Fairness in AI Systems: Theoretical Analysis and Empirical Validation Through Reweighing Mitigation.” This research goes beyond theoretical discussion by providing empirical validation through a Python-based fairness assessment framework built using IBM’s AIF360 toolkit and scikit-learn.

jihan-lee01 /ml-fairness-mortgage-lending

Fairness Analysis in US Mortgage Lending with Machine Learning Algorithms

chychiang /fairness-with-julia-and-py

This repo contains two jupyter notebooks that demonstrates how to identify and correct algorithmic bias in machine learning models using Python and Julia.

rud-ninja /Accuracy-vs-Fairness-ML

Visualising Accuracy vs. Fairness in ML models using AIF360 tools and dataset

A-Raghav /Ethical-Bias-Mitigation

A Python toolkit for detecting and mitigating ethical bias in machine learning models. This project provides wrapper classes around IBM's AI Fairness 360 (AIF360) library to make bias detection and mitigation more accessible and easier to implement in machine learning pipelines.

tanmayjhanjhari /fairenough

AI-powered bias auditing & fairness mitigation platform for ML datasets & models with Gemini AI explanations and PDF compliance reports.

busenur-durak /algorithmic-fairness-thesis

Bachelor thesis on algorithmic fairness and data bias. Compares bias mitigation on Adult Census and German Credit.

JuusoSaavalainen /MLFairness_gercred

该项目在 GitHub 上没有填写描述

BrinkmannB /AIF360

Fairness-check op de Adult-dataset met IBM AIF360: detectie (Disparate Impact) + mitigatie (Reweighing)