Alternatives and similar repositories for structured-pruning-adapters

Users that are interested in structured-pruning-adapters are comparing it to the libraries listed below

• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆33Updated 2 years ago
• VITA-Group / Random-MoE-as-Dropout
  [ICLR 2023] "Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers" by Tianlong Chen*, Zhenyu Zhang*, Ajay Jaiswal…
  ☆56Updated 2 years ago
• TencentARC / pi-Tuning
  Official code for "pi-Tuning: Transferring Multimodal Foundation Models with Optimal Multi-task Interpolation", ICML 2023.
  ☆33Updated 2 years ago
• OpenGVLab / LLMPrune-BESA
  BESA is a differentiable weight pruning technique for large language models.
  ☆17Updated last year
• ExplainableML / fomo_in_flux
  Code and benchmark for the paper: "A Practitioner's Guide to Continual Multimodal Pretraining" [NeurIPS'24]
  ☆61Updated last year
• locuslab / T-MARS
  Code for T-MARS data filtering
  ☆35Updated 2 years ago
• wjxts / RegularizedBN
  ☆21Updated 3 years ago
• VijayLingam95 / SVFT
  ☆34Updated 11 months ago
• ZIB-IOL / SMS
  Code to reproduce the experiments of the ICLR24-paper: "Sparse Model Soups: A Recipe for Improved Pruning via Model Averaging"
  ☆12Updated 3 months ago
• song-wx / SIFT
  [ICML2024 Spotlight] Fine-Tuning Pre-trained Large Language Models Sparsely
  ☆24Updated last year
• mlfoundations / clip_quality_not_quantity
  ☆29Updated 3 years ago
• arazd / ResidualPrompts
  Residual Prompt Tuning: a method for faster and better prompt tuning.
  ☆57Updated 2 years ago
• BatsResearch / ex2
  If CLIP Could Talk: Understanding Vision-Language Model Representations Through Their Preferred Concept Descriptions
  ☆17Updated last year
• lapisrocks / DiscreteAdversarialDistillation
  [NeurIPS 2023] Official repository for "Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models"
  ☆12Updated last year
• mshukor / eP-ALM
  [ICCV23] Official implementation of eP-ALM: Efficient Perceptual Augmentation of Language Models.
  ☆27Updated 2 years ago
• FeiyuZhang98 / IncreLoRA
  ☆34Updated 2 years ago
• MingSun-Tse / Why-the-State-of-Pruning-so-Confusing
  [Preprint] Why is the State of Neural Network Pruning so Confusing? On the Fairness, Comparison Setup, and Trainability in Network Prunin…
  ☆41Updated 4 months ago
• nverma1 / merging-text-transformers
  Code for "Merging Text Transformers from Different Initializations"
  ☆20Updated 11 months ago
• shoaibahmed / llm_depth_pruning
  Official implementation of the paper: "A deeper look at depth pruning of LLMs"
  ☆15Updated last year
• VITA-Group / Lifelong-Learning-LTH
  [ICLR 2021] "Long Live the Lottery: The Existence of Winning Tickets in Lifelong Learning" by Tianlong Chen*, Zhenyu Zhang*, Sijia Liu, S…
  ☆26Updated 4 years ago
• VITA-Group / Diverse-ViT
  [CVPR 2022] "The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy" by Tianlong C…
  ☆25Updated 3 years ago
• naver-ai / augsub
  [CVPR 2025] Official PyTorch implementation of MaskSub "Masking meets Supervision: A Strong Learning Alliance"
  ☆45Updated 9 months ago
• csarron / PuMer
  [ACL 2023] PuMer: Pruning and Merging Tokens for Efficient Vision Language Models
  ☆36Updated last year
• UCDvision / NOLA
  Code for NOLA, an implementation of "nola: Compressing LoRA using Linear Combination of Random Basis"
  ☆57Updated last year
• rgeirhos / dataset-pruning-metrics
  Metrics for "Beyond neural scaling laws: beating power law scaling via data pruning " (NeurIPS 2022 Outstanding Paper Award)
  ☆57Updated 2 years ago
• fredzzhang / atlas
  [NeurIPS'24] Official PyTorch implementation for paper "Knowledge Composition using Task Vectors with Learned Anisotropic Scaling"
  ☆27Updated 10 months ago
• jongwooko / NASH-Pruning-Official
  Code Implementation for "NASH: A Simple Unified Framework of Structured Pruning for Accelerating Encoder-Decoder Language Models" (EMNLP …
  ☆17Updated 2 years ago
• EnnengYang / RepresentationSurgery
  Representation Surgery for Multi-Task Model Merging. ICML, 2024.
  ☆47Updated last year
• VITA-Group / Robust_Weight_Signatures
  [ICML 2023] "Robust Weight Signatures: Gaining Robustness as Easy as Patching Weights?" by Ruisi Cai, Zhenyu Zhang, Zhangyang Wang
  ☆16Updated 2 years ago
• ylsung / vl-merging
  PyTorch codes for the paper "An Empirical Study of Multimodal Model Merging"
  ☆37Updated 2 years ago