Topic: fairness-ml Goto Github
Some thing interesting about fairness-ml
Some thing interesting about fairness-ml
fairness-ml,A fairness library in PyTorch.
Organization: aida-ugent
Home Page: https://aida-ugent.github.io/fairret/
fairness-ml,PyTorch reimplementation of computing Shapley values via Truncated Monte Carlo sampling from "What is your data worth? Equitable Valuation of Data" by Amirata Ghorbani and James Zou [ICML 2019]
User: ajsanjoaquin
fairness-ml,Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper
Organization: amazon-science
fairness-ml,A Python toolkit for analyzing machine learning models and datasets.
Organization: apple
Home Page: https://apple.github.io/dnikit/
fairness-ml,CIRCLe: Color Invariant Representation Learning for Unbiased Classification of Skin Lesions
User: arezou-pakzad
fairness-ml,Julia Toolkit with fairness metrics and bias mitigation algorithms
User: ashryaagr
Home Page: https://ashryaagr.github.io/Fairness.jl/dev/
fairness-ml,Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.
Organization: aws
fairness-ml,WordBias: Visualizing Intersectional Social biases encoded in Word Embeddings
User: bhavyaghai
fairness-ml,Papers and online resources related to machine learning fairness
Organization: brandeis-machine-learning
fairness-ml,Talks & Workshops by the CODAIT team
Organization: codait
Home Page: http://www.codait.org
fairness-ml,Credo AI Lens is a comprehensive assessment framework for AI systems. Lens standardizes model and data assessment, and acts as a central gateway to assessments created in the open source community.
Organization: credo-ai
Home Page: https://credoai-lens.readthedocs.io/en/stable/
fairness-ml,WEFE: The Word Embeddings Fairness Evaluation Framework. WEFE is a framework that standardizes the bias measurement and mitigation in Word Embeddings models. Please feel welcome to open an issue in case you have any questions or a pull request if you want to contribute to the project!
Organization: dccuchile
Home Page: https://wefe.readthedocs.io/
fairness-ml,Awesome list of AI Fairness tools, research papers, tutorials and any other relevant materials. For use by data scientists, AI engineers and policymakers alike.
Organization: emergingtechpolicy
fairness-ml,Evidence-based tools and community collaboration to end algorithmic bias, one data scientist at a time.
Organization: equalityai
fairness-ml,Code for the EMNLP 2021 Oral paper "Are Gender-Neutral Queries Really Gender-Neutral? Mitigating Gender Bias in Image Search" https://arxiv.org/abs/2109.05433
Organization: eric-ai-lab
fairness-ml,A Python package to assess and improve fairness of machine learning models.
Organization: fairlearn
Home Page: https://fairlearn.org
fairness-ml,Train Gradient Boosting models that are both high-performance *and* Fair!
Organization: feedzai
Home Page: https://arxiv.org/abs/2209.07850
fairness-ml,FairPut - Machine Learning Fairness Framework with LightGBM — Explainability, Robustness, Fairness (by @firmai)
User: firmai
Home Page: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3619715
fairness-ml,Article for Special Edition of Information: Machine Learning with Python
Organization: h2oai
Home Page: https://www.mdpi.com/journal/information/special_issues/ML_Python
fairness-ml,[KDD2021] Federated Adversarial Debiasing for Fair and Transferable Representations: Optimize an adversarial domain-adaptation objective without adversarial or source data.
Organization: illidanlab
fairness-ml,Variational Fair clustering
User: imtiazziko
fairness-ml,Slides, videos and other potentially useful artifacts from various presentations on responsible machine learning.
User: jphall663
fairness-ml,R package for computing and visualizing fair ML metrics
User: kozodoi
Home Page: https://cran.r-project.org/package=fairness
fairness-ml,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-ml,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-ml,Fair Resource Allocation in Federated Learning (ICLR '20)
User: litian96
fairness-ml,Tilted Empirical Risk Minimization (ICLR '21)
User: litian96
fairness-ml,Repo of the paper "On the Robustness of Sparse Counterfactual Explanations to Adverse Perturbations"
User: marcovirgolin
fairness-ml,Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
User: mfederici
fairness-ml,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-ml,A tool for gender bias identification in text. Part of Microsoft's Responsible AI toolbox.
Organization: microsoft
fairness-ml,Responsible AI Workshop: a series of tutorials & walkthroughs to illustrate how put responsible AI into practice
Organization: microsoft
fairness-ml,Multi-Calibration & Multi-Accuracy Boosting for R
Organization: mlr-org
fairness-ml,Flexible tool for bias detection, visualization, and mitigation
Organization: modeloriented
Home Page: https://fairmodels.drwhy.ai/
fairness-ml,A curated list of Robust Machine Learning papers/articles and recent advancements.
User: monk1337
fairness-ml,Code accompanying our papers on the "Generative Distributional Control" framework
Organization: naver
fairness-ml,Fast and Efficient MMD-based Fair PCA via Optimization over Stiefel Manifold (AAAI 2022)
User: nick-jhlee
fairness-ml,A Prompt Array Keeps the Bias Away: Debiasing Vision-Language Models with Adversarial Learning [AACL 2022]
Organization: oxai
Home Page: https://arxiv.org/abs/2203.11933
fairness-ml,Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Organization: responsiblyai
Home Page: http://docs.responsibly.ai
fairness-ml,Tensorflow's Fairness Evaluation and Visualization Toolkit
Organization: tensorflow
fairness-ml,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-ml,EMNLP'2022: BERTScore is Unfair: On Social Bias in Language Model-Based Metrics for Text Generation
User: txsun1997
Home Page: https://arxiv.org/abs/2210.07626
fairness-ml,A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.
Organization: vanderschaarlab
Home Page: https://www.vanderschaar-lab.com/
fairness-ml,Package for evaluating the performance of methods which aim to increase fairness, accountability and/or transparency
Organization: wearepal
Home Page: https://wearepal.ai/EthicML/
fairness-ml,Source code for KDD 2020 paper "Algorithmic Decision Making with Conditional Fairness".
User: windxrz
Home Page: https://arxiv.org/abs/2006.10483
fairness-ml,Official implementation of our work "Collaborative Fairness in Federated Learning."
User: xinyiys
fairness-ml,FairBatch: Batch Selection for Model Fairness (ICLR 2021)
User: yuji-roh
fairness-ml,FR-Train: A Mutual Information-Based Approach to Fair and Robust Training (ICML 2020)
User: yuji-roh
fairness-ml,😎 Everything about class-imbalanced/long-tail learning: papers, codes, frameworks, and libraries | 有关类别不平衡/长尾学习的一切:论文、代码、框架与库
User: zhiningliu1998
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