Alternatives and similar repositories for GhostSuite

Users that are interested in GhostSuite are comparing it to the libraries listed below

• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆95Updated last month
• Liang137 / DPZero
  [ICML 2024] DPZero: Private Fine-Tuning of Language Models without Backpropagation
  ☆16Updated last year
• gortizji / tangent_task_arithmetic
  Source code of "Task arithmetic in the tangent space: Improved editing of pre-trained models".
  ☆108Updated 2 years ago
• nik-dim / tall_masks
  Official repository of "Localizing Task Information for Improved Model Merging and Compression" [ICML 2024]
  ☆51Updated 2 weeks ago
• tanganke / peta
  Code for paper "Parameter Efficient Multi-task Model Fusion with Partial Linearization"
  ☆24Updated last year
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆98Updated last year
• lliai / Awesome-Low-Rank-Adaptation
  Awesome-Low-Rank-Adaptation
  ☆126Updated last year
• harveyhuang18 / EMR_Merging
  [NeurIPS 2024 Spotlight] EMR-Merging: Tuning-Free High-Performance Model Merging
  ☆74Updated 10 months ago
• danielm1405 / iso-merging
  [ICML 2025] No Task Left Behind: Isotropic Model Merging with Common and Task-Specific Subspaces (official repository)
  ☆29Updated 5 months ago
• mmatena / model_merging
  ☆80Updated 3 years ago
• tanganke / weight-ensembling_MoE
  Code for paper "Merging Multi-Task Models via Weight-Ensembling Mixture of Experts"
  ☆30Updated last year
• MohammadrezaBanaei / LoRA-XS
  LoRA-XS: Low-Rank Adaptation with Extremely Small Number of Parameters
  ☆45Updated 5 months ago
• UKPLab / iclr2024-model-merging
  This is the repository for "Model Merging by Uncertainty-Based Gradient Matching", ICLR 2024.
  ☆29Updated last year
• kyrie-23 / linear_task_arithmetic
  ☆11Updated 5 months ago
• Model-GLUE / Model-GLUE
  ☆18Updated last year
• OPTML-Group / Unlearn-Sparse
  [NeurIPS23 (Spotlight)] "Model Sparsity Can Simplify Machine Unlearning" by Jinghan Jia*, Jiancheng Liu*, Parikshit Ram, Yuguang Yao, Gao…
  ☆80Updated last year
• if-loops / selective-synaptic-dampening
  [AAAI, ICLR TP] Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening
  ☆55Updated last year
• uiuctml / Localize-and-Stitch
  Localize-and-Stitch: Efficient Model Merging via Sparse Task Arithmetic
  ☆32Updated 3 months ago
• aim-uofa / LoRAPrune
  ☆62Updated last year
• tanganke / opcm
  official code repo for paper "Merging Models on the Fly Without Retraining: A Sequential Approach to Scalable Continual Model Merging"
  ☆22Updated 3 months ago
• NUS-HPC-AI-Lab / DATM
  ICLR 2024, Towards Lossless Dataset Distillation via Difficulty-Aligned Trajectory Matching
  ☆105Updated last year
• yaojin17 / Unlearning_LLM
  [ACL 2024] Code and data for "Machine Unlearning of Pre-trained Large Language Models"
  ☆65Updated last year
• OPTML-Group / DP4TL
  [NeurIPS2023] "Selectivity Drives Productivity: Efficient Dataset Pruning for Enhanced Transfer Learning" by Yihua Zhang*, Yimeng Zhang*,…
  ☆14Updated 2 years ago
• hqsiswiliam / hira
  The repo for HiRA paper
  ☆35Updated 5 months ago
• franciscoliu / Awesome-GenAI-Unlearning
  ☆182Updated last month
• YuxinWenRick / diffusion_memorization
  Official repo for Detecting, Explaining, and Mitigating Memorization in Diffusion Models (ICLR 2024)
  ☆77Updated last year
• jongwooko / distillm-2
  Official PyTorch implementation of DistiLLM-2: A Contrastive Approach Boosts the Distillation of LLMs (ICML 2025 Oral)
  ☆54Updated 6 months ago
• arumaekawa / DiLM
  Implementaiton of "DiLM: Distilling Dataset into Language Model for Text-level Dataset Distillation" (accepted by NAACL2024 Findings)".
  ☆26Updated 11 months ago
• hamidkazemi22 / CLIPInversion
  What do we learn from inverting CLIP models?
  ☆57Updated last year
• meghdadk / SCRUB
  ☆50Updated last year