Awesome Machine Unlearning (A Survey of Machine Unlearning)
machine-unlearning 开源项目推荐(164 个)
machine-unlearning 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 164 个仓库关于机器学习去学习的现有文献
A resource repository for machine unlearning in large language models
A curated list of trustworthy deep learning papers. Continually updating...
A Comprehensive Survey of Forgetting in Deep Learning Beyond Continual Learning. TPAMI, 2024.
[ICLR24(聚焦)]《SalUn:通过基于梯度的权重显著性在图像分类与生成中赋能机器学习》,作者:Chongyu Fan*、Jiancheng Liu*、Zhang Yihua、Eric Wong、Dennis Wei、Sijia Liu
Awesome Federated Unlearning (FU) Papers (Continually Update)
A Visual Analytics System for Comparative Evaluation of Machine Unlearning Methods (TVCG 2026)
[NeurIPS23(聚焦)]《模型稀疏可以简化机器学习去学习》 作者:贾景汉*、刘建成*、帕里克希特·拉姆、姚玉光、刘高文、刘杨、普拉奈·夏尔马、刘思嘉
该项目在 GitHub 上没有填写描述
Practical Continual Forgetting for Pre-trained Vision Models (CVPR 2024; T-PAMI 2026)
该项目在 GitHub 上没有填写描述
[ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
A repository of resources on machine unlearning for diffusion models
Official implementation of "Graph Unlearning" (ACM CCS 2022)
Official implementation of "When Machine Unlearning Jeopardizes Privacy" (ACM CCS 2021)
General Strategy for Unlearning in Graph Neural Networks
[ACL 2025] Knowledge Unlearning for Large Language Models
[NeurIPS25] Official repo for "Simplicity Prevails: Rethinking Negative Preference Optimization for LLM Unlearning"
[NeurIPS 2024] Large Language Model Unlearning via Embedding-Corrupted Prompts
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/machine-unlearning。
- 该话题在 GitHub 上共有 164 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 4459 Star,覆盖 3 种主要语言,数据更新于 2026-11-10。
- 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。