fairness-ml 开源项目推荐（283 个）

fairlearn /fairlearn

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

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.

ZhiningLiu1998 /awesome-imbalanced-learning

😎 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

vanderschaarlab /synthcity

A library for generating and evaluating synthetic tabular data for privacy, fairness and data augmentation.

tensorflow /fairness-indicators

Tensorflow's Fairness Evaluation and Visualization Toolkit

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

litian96 /fair_flearn

Fair Resource Allocation in Federated Learning (ICLR '20)

dccuchile /wefe

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!

linkedin /LiFT

The LinkedIn Fairness Toolkit (LiFT) is a Scala/Spark library that enables the measurement of fairness in large scale machine learning workflows.

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

naver /gdc

Code accompanying our papers on the "Generative Distributional Control" framework

feedzai /fairgbm

Train Gradient Boosting models that are both high-performance *and* Fair!

ResponsiblyAI /responsibly

Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰

amazon-science /bold

Dataset associated with "BOLD: Dataset and Metrics for Measuring Biases in Open-Ended Language Generation" paper

ModelOriented /fairmodels

Flexible tool for bias detection, visualization, and mitigation

apple /dnikit

A Python toolkit for analyzing machine learning models and datasets.

aws /amazon-sagemaker-clarify

Fairness Aware Machine Learning. Bias detection and mitigation for datasets and models.

brandeis-machine-learning /awesome-ml-fairness

Papers and online resources related to machine learning fairness

firmai /ml-fairness-framework

FairPut - 基于LightGBM的机器学习公平性框架——可解释性、稳健性、公平性（@firmai）