Alternatives and similar repositories for D-TRAK

Users that are interested in D-TRAK are comparing it to the libraries listed below

• hamidkazemi22 / CLIPInversion
  What do we learn from inverting CLIP models?
  ☆55Updated last year
• sail-sg / DiffMemorize
  [TMLR 2025] On Memorization in Diffusion Models
  ☆27Updated last year
• MadryLab / journey-TRAK
  Code for the paper "The Journey, Not the Destination: How Data Guides Diffusion Models"
  ☆24Updated last year
• YuxinWenRick / diffusion_memorization
  Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)
  ☆76Updated last year
• locuslab / acr-memorization
  ☆35Updated 6 months ago
• NUS-TRAIL / Unnatural_Language
  The official repository of 'Unnatural Language Are Not Bugs but Features for LLMs'
  ☆20Updated last month
• peterljq / Parsimonious-Concept-Engineering
  PaCE: Parsimonious Concept Engineering for Large Language Models (NeurIPS 2024)
  ☆38Updated 8 months ago
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆102Updated 2 years ago
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆45Updated 8 months ago
• Model-GLUE / Model-GLUE
  ☆15Updated 10 months ago
• sail-sg / Cheating-LLM-Benchmarks
  [ICLR 2025] Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates (Oral)
  ☆79Updated 8 months ago
• r-three / mats
  ☆31Updated last year
• locuslab / diffusion-model-hallucination
  ☆44Updated 10 months ago
• sail-sg / dice
  Official implementation of Bootstrapping Language Models via DPO Implicit Rewards
  ☆44Updated 3 months ago
• jiahai-feng / binding-iclr
  ☆14Updated last year
• sail-sg / Attention-Sink
  [ICLR 2025] When Attention Sink Emerges in Language Models: An Empirical View (Spotlight)
  ☆99Updated last week
• sail-sg / Meta-Unlearning
  ☆27Updated 2 months ago
• somepago / DCR
  Official Pytorch repo of CVPR'23 and NeurIPS'23 papers on understanding replication in diffusion models.
  ☆108Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆59Updated 9 months ago
• tml-epfl / sharpness-vs-generalization
  A modern look at the relationship between sharpness and generalization [ICML 2023]
  ☆43Updated last year
• yossigandelsman / second_order_lens
  Official pytorch implementation of "Interpreting the Second-Order Effects of Neurons in CLIP"
  ☆39Updated 8 months ago
• Jayfeather1024 / DensePure
  ☆19Updated last year
• ejones313 / auditing-llms
  ☆55Updated 2 years ago
• UKPLab / iclr2024-model-merging
  This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
  ☆28Updated last year
• UCSB-NLP-Chang / ULD
  Implementation of paper 'Reversing the Forget-Retain Objectives: An Efficient LLM Unlearning Framework from Logit Difference' [NeurIPS'24…
  ☆20Updated last year
• vfleaking / PTST
  Code for safety test in "Keeping LLMs Aligned After Fine-tuning: The Crucial Role of Prompt Templates"
  ☆18Updated last year
• princeton-pli / what-makes-good-rm
  What Makes a Reward Model a Good Teacher? An Optimization Perspective
  ☆34Updated 3 weeks ago
• ZhentingWang / DUMP
  ☆20Updated 2 months ago
• sail-sg / ActivePRM
  ☆15Updated 3 months ago
• formll / resolving-scaling-law-discrepancies
  ☆20Updated last year