Topic: bias Goto Github
Some thing interesting about bias
Some thing interesting about bias
bias,Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
User: acbull
bias,A fairness library in PyTorch.
Organization: aida-ugent
Home Page: https://aida-ugent.github.io/fairret/
bias,Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
User: amanchadha
bias,Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
Organization: amazon-science
bias,A Python toolkit for analyzing machine learning models and datasets.
Organization: apple
Home Page: https://apple.github.io/dnikit/
bias,How are words loaded with meaning? Repository accompanying research by Alina Arseniev-Koehler and Jacob G. Foster, titled "Machine learning as a model for cultural learning: teaching an algorithm what it means to be fat." https://journals.sagepub.com/doi/full/10.1177/00491241221122603
User: arsena-k
Home Page: https://journals.sagepub.com/doi/full/10.1177/00491241221122603
bias,Collaborative text editor (like Google Docs or CoderPad) with integrated semi-anonymizing voice chat intended to help reduce bias in technical communication.
Organization: blindpad
bias,Data and materials to reproduce Bloomberg's investigation into racial and gender bias in OpenAI's GPT
Organization: bloomberggraphics
Home Page: https://www.bloomberg.com/graphics/2024-openai-gpt-hiring-racial-discrimination
bias,NeurIPS 2019 Paper: RUBi : Reducing Unimodal Biases for Visual Question Answering
User: cdancette
bias,A collection of inspiring resources related to engineering management and tech leadership
User: charlax
bias,Matching in GAN latent space for better bias benchmarking and semantic image editing. πΆπ»π§πΎπ©πΌβπ¦°π±π½ββοΈπ΄πΎ
User: csinva
Home Page: https://arxiv.org/abs/2103.13455
bias,A curated list of awesome Fairness in AI resources
Organization: datamllab
bias,Bias detection and contextual evaluation tool for your AI projects
Organization: debiai
Home Page: https://debiai.irt-systemx.fr
bias,Python scripts for studying bias in recommender systems
User: domkowald
bias,Bias Auditing & Fair ML Toolkit
Organization: dssg
Home Page: http://www.datasciencepublicpolicy.org/aequitas/
bias,Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.
Organization: equalityai
bias,XAI - An eXplainability toolbox for machine learning
Organization: ethicalml
Home Page: https://ethical.institute/principles.html#commitment-3
bias,Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code. We are looking for co-authors to take this project forward. Reach out @ [email protected]
Organization: explainx
Home Page: https://www.explainx.ai
bias,Template for datasheet for datasets
Organization: fau-masters-collected-works-cgarbin
bias,Template for model cards
Organization: fau-masters-collected-works-cgarbin
bias,Bluetooth Impersonation AttackS (BIAS) [CVE 2020-10135]
User: francozappa
Home Page: https://francozappa.github.io/about-bias/
bias,Automated Essay Scoring using BERT
User: gaurav-pande
Home Page: http://www.gauravpande.in/AES/
bias,Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
Organization: hate-alert
bias,Data and Model-based approaches for Mitigating Bias in Machine Learning Applications
User: heyaudace
bias,Automatic synthesis of RCTs
User: ijmarshall
Home Page: https://www.robotreviewer.net
bias,Fit interpretable models. Explain blackbox machine learning.
Organization: interpretml
Home Page: https://interpret.ml/docs
bias,Intersectional bias in hate speech and abusive language datasets
User: jaeyk
bias,This is the repo for the survey of Bias and Fairness in IR with LLMs.
User: kid-22
Home Page: https://arxiv.org/abs/2404.11457
bias, Awesome list about all kinds of interesting topics: Laws, Principles, Mental Models, Cognitive Biases
User: lukasz-madon
bias,Reveal to Revise: An Explainable AI Life Cycle for Iterative Bias Correction of Deep Models. Paper presented at MICCAI 2023 conference.
User: maxdreyer
Home Page: https://conferences.miccai.org/2023/papers/544-Paper2359.html
bias,This python script guesses the race and gender (probabilistically) of the first and last authors for papers in your citation list (in the form of a .bib file) and compares your list to expected distributions based on a model that accounts for paper characteristics (e.g., author location, author seniority, journal, et cetera.) unrelated to race and gender.
User: mb3152
bias,Code and data for Koo et al's ACL 2024 paper "Benchmarking Cognitive Biases in Large Language Models as Evaluators"
Organization: minnesotanlp
Home Page: https://minnesotanlp.github.io/cobbler-project-page/
bias,Bias detection in the news. Back and front end for areyoufakenews.com
User: n2itn
Home Page: http://www.areyoufakenews.com
bias,I will update this repository to learn Machine learning with python with statistics content and materials
User: nursnaaz
bias,List of references about Machine Learning bias and ethics
User: radames
bias,Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems ππ€π§°
Organization: responsiblyai
Home Page: http://docs.responsibly.ai
bias,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
bias,Identify bias and measure fairness of your data
Organization: synthesized-io
bias,Symmetric evaluation set based on the FEVER (fact verification) dataset
User: talschuster
bias,Chrome extension to show you the bias of websites you travel to.
User: theunlocked
Home Page: http://bit.ly/biasfinder
bias,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/
bias,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
bias,A reading list and fortnightly discussion group designed to provoke discussion about ethical applications of, and processes for, data science.
Organization: very-good-science
Home Page: https://dataethicsclub.com
bias,Compass-aligned Distributional Embeddings. Align embeddings from different corpora
User: vinid
Home Page: http://federicobianchi.io/cade
bias,Source code and notebooks to reproduce experiments and benchmarks on Bias Faces in the Wild (BFW).
User: visionjo
bias, This is a collection of papers and other resources related to fairness.
User: yongkaiwu
Home Page: https://yongkaiwu.github.io/FairAI/
bias,[CCKS 2021] On Robustness and Bias Analysis of BERT-based Relation Extraction
Organization: zjunlp
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Open source projects and samples from Microsoft.
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Data-Driven Documents codes.
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