fairness
There are 348 repositories under fairness topic.
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.
ModelOriented/DALEX
moDel Agnostic Language for Exploration and eXplanation
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.
tangxyw/RecSysPapers
推荐/广告/搜索领域工业界经典以及最前沿论文集合。A collection of industry classics and cutting-edge papers in the field of recommendation/advertising/search.
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
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.
dssg/aequitas
Bias Auditing & Fair ML Toolkit
h2oai/mli-resources
H2O.ai Machine Learning Interpretability Resources
WwZzz/easyFL
An experimental platform for federated learning.
datamllab/awesome-fairness-in-ai
A curated list of awesome Fairness in AI resources
MinghuiChen43/awesome-trustworthy-deep-learning
A curated list of trustworthy deep learning papers. Daily updating...
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
yromano/cqr
Conformalized Quantile Regression
mbilalzafar/fair-classification
Python code for training fair logistic regression classifiers.
linkedin/LiFT
The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
Echo-Ji/ST-SSL
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
laura-rieger/deep-explanation-penalization
Code for using CDEP from the paper "Interpretations are useful: penalizing explanations to align neural networks with prior knowledge" https://arxiv.org/abs/1909.13584
cosmicBboy/themis-ml
A library that implements fairness-aware machine learning algorithms
EdisonLeeeee/Awesome-Fair-Graph-Learning
Paper List for Fair Graph Learning (FairGL).
feedzai/fairgbm
Train Gradient Boosting models that are both high-performance *and* Fair!
weitianxin/awesome-distribution-shift
A curated list of papers and resources about the distribution shift in machine learning.
ResponsiblyAI/responsibly
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
synthesized-io/fairlens
Identify bias and measure fairness of your data
yongkaiwu/FairAI
This is a collection of papers and other resources related to fairness.
ModelOriented/fairmodels
Flexible tool for bias detection, visualization, and mitigation
Hackathonners/vania
A module which fairly distributes a list of arbitrary objects among a set of targets, considering weights.
Anish-Agnihotri/blog-effective-nft-launches-data
Data+code for NFT launch guide blogpost.
apple/dnikit
A Python toolkit for analyzing machine learning models and datasets.
fat-forensics/fat-forensics
Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
aws/amazon-sagemaker-clarify
Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
EducationalTestingService/rsmtool
A Python package to facilitate research on building and evaluating automated scoring models.
romanlutz/ResponsibleAI
A collection of news articles, books, and papers on Responsible AI cases. The purpose is to study these cases and learn from them to avoid repeating the failures of the past.
Envek/sidekiq-fair_tenant
Sidekiq middleware to re-route “greedy” clients’ jobs to slower queues