Topic: fairness Goto Github
Some thing interesting about fairness
Some thing interesting about fairness
fairness,Provably fair implementation done in javascript.
User: alexcambose
Home Page: https://medium.com/@alexcambose/provably-fair-system-in-javascript-6457e028d2aa
fairness,Data+code for NFT launch guide blogpost.
User: anish-agnihotri
Home Page: https://www.paradigm.xyz/2021/10/a-guide-to-designing-effective-nft-launches/
fairness,A Python toolkit for analyzing machine learning models and datasets.
Organization: apple
Home Page: https://apple.github.io/dnikit/
fairness,Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
Organization: aws
fairness,Papers and online resources related to machine learning fairness
Organization: brandeis-machine-learning
fairness,Code for paper https://arxiv.org/abs/2102.13186
User: chirag126
fairness,A library that implements fairness-aware machine learning algorithms
User: cosmicbboy
fairness,A curated list of awesome Fairness in AI resources
Organization: datamllab
fairness,Bias Auditing & Fair ML Toolkit
Organization: dssg
Home Page: http://www.datasciencepublicpolicy.org/aequitas/
fairness,ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction
User: echo-ji
fairness,Paper List for Fair Graph Learning (FairGL).
User: edisonleeeee
fairness,A Python package to facilitate research on building and evaluating automated scoring models.
Organization: educationaltestingservice
Home Page: https://rsmtool.readthedocs.io
fairness,Sidekiq middleware to re-route “greedy” clients’ jobs to slower queues
User: envek
fairness,A Python package to assess and improve fairness of machine learning models.
Organization: fairlearn
Home Page: https://fairlearn.org
fairness,Modular Python Toolbox for Fairness, Accountability and Transparency Forensics
Organization: fat-forensics
Home Page: https://fat-forensics.org
fairness,Train Gradient Boosting models that are both high-performance *and* Fair!
Organization: feedzai
Home Page: https://arxiv.org/abs/2209.07850
fairness,Fairness regulator and rate limiter
User: g-andrade
Home Page: https://hexdocs.pm/aequitas/
fairness,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
Organization: gnolang
Home Page: https://gno.land/
fairness,H2O.ai Machine Learning Interpretability Resources
Organization: h2oai
fairness,A module which fairly distributes a list of arbitrary objects among a set of targets, considering weights.
Organization: hackathonners
Home Page: https://blog.hackathonners.org/our-new-baby-fair-distributor-b31bf66c05d1
fairness, [ICCV 2023 Oral, Best Paper Finalist] ITI-GEN: Inclusive Text-to-Image Generation
Organization: humansensinglab
Home Page: https://czhang0528.github.io/iti-gen
fairness,PyTorch package to train and audit ML models for Individual Fairness
Organization: ibm
Home Page: https://ibm.github.io/inFairness
fairness,A curated list of awesome responsible machine learning resources.
User: jphall663
fairness,Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
User: jphall663
fairness,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
User: laura-rieger
fairness,The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.
Organization: linkedin
fairness,Python code for training fair logistic regression classifiers.
User: mbilalzafar
fairness,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.
Organization: microsoft
Home Page: https://responsibleaitoolbox.ai/
fairness,A curated list of trustworthy deep learning papers. Daily updating...
User: minghuichen43
fairness,moDel Agnostic Language for Exploration and eXplanation
Organization: modeloriented
Home Page: https://dalex.drwhy.ai
fairness,Flexible tool for bias detection, visualization, and mitigation
Organization: modeloriented
Home Page: https://fairmodels.drwhy.ai/
fairness,Learning Fair Representations for Recommendation: A Graph-based Perspective, WWW2021
User: newlei
fairness,Oracle Guardian AI Open Source Project is a library consisting of tools to assess fairness/bias and privacy of machine learning models and data sets.
Organization: oracle
Home Page: https://oracle-guardian-ai.readthedocs.io
fairness,EMNLP 2022: "MABEL: Attenuating Gender Bias using Textual Entailment Data" https://arxiv.org/abs/2210.14975
Organization: princeton-nlp
fairness,List of references about Machine Learning bias and ethics
User: radames
fairness,Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Organization: responsiblyai
Home Page: http://docs.responsibly.ai
fairness,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.
User: romanlutz
Home Page: https://romanlutz.github.io/ResponsibleAI
fairness,Code of the paper: Finetuning Text-to-Image Diffusion Models for Fairness
Organization: sail-sg
Home Page: https://sail-sg.github.io/finetune-fair-diffusion/
fairness,Identify bias and measure fairness of your data
Organization: synthesized-io
fairness,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.
User: tangxyw
Home Page: https://tangxyw.github.io/
fairness,A toolbox for benchmarking trustworthiness of multimodal large language models (MultiTrust)
Organization: thu-ml
Home Page: https://multi-trust.github.io/
fairness,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.
Organization: trusted-ai
Home Page: https://aif360.res.ibm.com/
fairness,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
Organization: twitter-research
Home Page: https://arxiv.org/abs/2105.08667
fairness,A curated list of papers and resources about the distribution shift in machine learning.
User: weitianxin
fairness,An experimental platform for federated learning.
User: wwzzz
fairness, This is a collection of papers and other resources related to fairness.
User: yongkaiwu
Home Page: https://yongkaiwu.github.io/FairAI/
fairness,Conformalized Quantile Regression
User: yromano
Home Page: https://sites.google.com/view/cqr
fairness,[ICLR 2023 spotlight] MEDFAIR: Benchmarking Fairness for Medical Imaging
User: ys-zong
Home Page: https://ys-zong.github.io/MEDFAIR/
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