Alternatives and similar repositories for open-unlearning

Users that are interested in open-unlearning are comparing it to the libraries listed below

• chrisliu298 / awesome-llm-unlearning
  A resource repository for machine unlearning in large language models
  ☆506Updated 4 months ago
• chrisliu298 / awesome-representation-engineering
  A resource repository for representation engineering in large language models
  ☆140Updated last year
• git-disl / awesome_LLM-harmful-fine-tuning-papers
  A survey on harmful fine-tuning attack for large language model
  ☆220Updated this week
• franciscoliu / Awesome-GenAI-Unlearning
  ☆175Updated this week
• kevinyaobytedance / llm_unlearn
  LLM Unlearning
  ☆177Updated 2 years ago
• iamgroot42 / mimir
  Python package for measuring memorization in LLMs.
  ☆173Updated 4 months ago
• GraySwanAI / circuit-breakers
  Improving Alignment and Robustness with Circuit Breakers
  ☆242Updated last year
• Unispac / shallow-vs-deep-alignment
  Official Repository for The Paper: Safety Alignment Should Be Made More Than Just a Few Tokens Deep
  ☆163Updated 6 months ago
• facebookresearch / advprompter
  Official implementation of AdvPrompter https//arxiv.org/abs/2404.16873
  ☆170Updated last year
• paul-rottger / xstest
  Röttger et al. (NAACL 2024): "XSTest: A Test Suite for Identifying Exaggerated Safety Behaviours in Large Language Models"
  ☆116Updated 8 months ago
• boyiwei / alignment-attribution-code
  [ICML 2024] Assessing the Brittleness of Safety Alignment via Pruning and Low-Rank Modifications
  ☆86Updated 7 months ago
• swj0419 / muse_bench
  ☆29Updated 8 months ago
• licong-lin / negative-preference-optimization
  ☆68Updated last year
• centerforaisafety / tdc2023-starter-kit
  This is the starter kit for the Trojan Detection Challenge 2023 (LLM Edition), a NeurIPS 2023 competition.
  ☆89Updated last year
• QinbinLi / LLM-PBE
  A toolkit to assess data privacy in LLMs (under development)
  ☆63Updated 10 months ago
• cooperleong00 / Awesome-LLM-Interpretability
  A curated list of LLM Interpretability related material - Tutorial, Library, Survey, Paper, Blog, etc..
  ☆284Updated 7 months ago
• sail-sg / closer-look-LLM-unlearning
  [ICLR 2025] A Closer Look at Machine Unlearning for Large Language Models
  ☆41Updated 11 months ago
• TrustGen / TrustEval-toolkit
  Toolkit for evaluating the trustworthiness of generative foundation models.
  ☆123Updated 2 months ago
• hzy312 / Awesome-LLM-Watermark
  UP-TO-DATE LLM Watermark paper. 🔥🔥🔥
  ☆362Updated 11 months ago
• javiferran / sae_entities
  ☆63Updated 8 months ago
• HoagyC / sparse_coding
  Using sparse coding to find distributed representations used by neural networks.
  ☆283Updated 2 years ago
• CLAS2024 / starter-kit
  ☆39Updated last year
• git-disl / Safety-Tax
  This is the official code for the paper "Safety Tax: Safety Alignment Makes Your Large Reasoning Models Less Reasonable".
  ☆25Updated 8 months ago
• nrimsky / CAA
  Steering Llama 2 with Contrastive Activation Addition
  ☆193Updated last year
• wrh14 / deep_unlearning
  Official github page for the paper "Evaluating Deep Unlearning in Large Language Model"
  ☆14Updated 6 months ago
• jthickstun / watermark
  Code for watermarking language models
  ☆83Updated last year
• LLM-Tuning-Safety / LLMs-Finetuning-Safety
  We jailbreak GPT-3.5 Turbo’s safety guardrails by fine-tuning it on only 10 adversarially designed examples, at a cost of less than $0.20…
  ☆330Updated last year
• git-disl / Vaccine
  This is the official code for the paper "Vaccine: Perturbation-aware Alignment for Large Language Models" (NeurIPS2024)
  ☆47Updated last year
• davidbau / baukit
  ☆237Updated last year
• CaoYuanpu / BiPO
  Personalized Steering of Large Language Models: Versatile Steering Vectors Through Bi-directional Preference Optimization
  ☆35Updated last year