#Awesome#A curated list of awesome responsible machine learning resources.
#计算机科学#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.
#计算机科学#A Python package to assess and improve fairness of machine learning models.
翻译 - 一个Python包,用于评估和提高机器学习模型的公平性。
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.
#计算机科学#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 libr...
#计算机科学#moDel Agnostic Language for Exploration and eXplanation
#区块链#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.
#计算机科学#Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
#计算机科学#An experimental platform for federated learning.
#计算机科学#H2O.ai Machine Learning Interpretability Resources
#计算机科学#A curated list of trustworthy deep learning papers. Daily updating...
#计算机科学#A curated list of awesome Fairness in AI resources
#计算机科学#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
#计算机科学#Python code for training fair logistic regression classifiers.
#大语言模型#LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
ST-SSL (STSSL): Spatio-Temporal Self-Supervised Learning for Traffic Flow Forecasting/Prediction