fairness 开源项目推荐（1,182 个）

jphall663 /awesome-machine-learning-interpretability

A curated list of awesome responsible machine learning resources.

Trusted-AI /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.

fairlearn /fairlearn

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

tangxyw /RecSysPapers

推荐/广告/搜索领域工业世界经典及最前沿论坛综合。推荐/广告/搜索领域的行业经典和前沿论文集。

mlco2 /codecarbon

跟踪Compute的排放并建议减少其对环境影响的方法。

microsoft /responsible-ai-toolbox

Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.

ModelOriented /DALEX

moDel Agnostic Language for Exploration and eXplanation

gnolang /gno

Gno: An interpreted, stack-based Go virtual machine to build succinct and composable apps + gno.land: a blockchain for timeless code and fair open-source.

satmihir /fair

A Go library for serving resources fairly

dssg /aequitas

Bias Auditing & Fair ML Toolkit

jphall663 /interpretable_machine_learning_with_python

Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.

WwZzz /easyFL

An experimental platform for federated learning.

h2oai /mli-resources

H2O.ai Machine Learning Interpretability Resources

MinghuiChen43 /awesome-trustworthy-deep-learning

A curated list of trustworthy deep learning papers. Continually updating...

adebayoj /fairml

该项目在 GitHub 上没有填写描述

datamllab /awesome-fairness-in-ai

A curated list of awesome Fairness in AI resources

yromano /cqr

Conformalized Quantile Regression

cvs-health /langfair

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

twitter-research /image-crop-analysis

Code for reproducing our analysis in the paper titled: Image Cropping on Twitter: Fairness Metrics, their Limitations, and the Importance of Representation, Design, and Agency

Echo-Ji /ST-SSL

ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction