A collection of inspiring resources related to engineering management and tech leadership
bias 开源项目推荐(469 个)
bias 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 469 个仓库适合可解释的模型。解释黑匣子机器学习。
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.
XAI——面向机器学习的可解释性工具箱
Bias Auditing & Fair ML Toolkit
关于各种有趣话题的精彩清单:定律、原则、心理模型、认知偏见
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
用一行代码解释并调试任何黑盒机器学习模型。
A curated list of awesome Fairness in AI resources
LangFair is a Python library for conducting use-case level LLM bias and fairness assessments
Can we use explanations to improve hate speech models? Our paper accepted at AAAI 2021 tries to explore that question.
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
Code for WWW'19 "Unbiased LambdaMART: An Unbiased Pairwise Learning-to-Rank Algorithm", which is based on LightGBM
Collaborative text editor (like Google Docs or CoderPad) with integrated semi-anonymizing voice chat intended to help reduce bias in technical communication.
随机对照试验的自动综合
Bias detection in the news. Back and front end for areyoufakenews.com
Toolkit for Auditing and Mitigating Bias and Fairness of Machine Learning Systems 🔎🤖🧰
Detecting Bias and ensuring Fairness in AI solutions
Bluetooth Impersonation AttackS (BIAS) [CVE 2020-10135]
This is a collection of papers and other resources related to fairness.
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/bias。
- 该话题在 GitHub 上共有 469 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 2.4 万 Star,覆盖 6 种主要语言,数据更新于 2026-11-07。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。