Alternatives and similar repositories for awesome-adapter-resources

Users that are interested in awesome-adapter-resources are comparing it to the libraries listed below

• prateeky2806 / ties-merging
  ☆187Updated last year
• ShiZhengyan / DePT
  [ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
  ☆96Updated last year
• TsinghuaC3I / SoRA
  [EMNLP 2023, Main Conference] Sparse Low-rank Adaptation of Pre-trained Language Models
  ☆81Updated last year
• arazd / ResidualPrompts
  Residual Prompt Tuning: a method for faster and better prompt tuning.
  ☆55Updated 2 years ago
• morningmoni / UniPELT
  Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
  ☆63Updated 3 years ago
• AGI-Edgerunners / LLM-Continual-Learning-Papers
  Must-read Papers on Large Language Model (LLM) Continual Learning
  ☆144Updated last year
• benzakenelad / BitFit
  Simple Parameter-efficient Fine-tuning for Transformer-based Masked Language-models
  ☆142Updated 2 years ago
• ycjing / Awesome-Model-Merging
  A curated list of Model Merging methods.
  ☆92Updated 11 months ago
• ylsung / Ladder-Side-Tuning
  PyTorch codes for "LST: Ladder Side-Tuning for Parameter and Memory Efficient Transfer Learning"
  ☆237Updated 2 years ago
• adymaharana / d2pruning
  ☆35Updated last year
• BaohaoLiao / mefts
  [NeurIPS 2023] Make Your Pre-trained Model Reversible: From Parameter to Memory Efficient Fine-Tuning
  ☆31Updated 2 years ago
• bloomberg / dataless-model-merging
  Code release for Dataless Knowledge Fusion by Merging Weights of Language Models (https://openreview.net/forum?id=FCnohuR6AnM)
  ☆90Updated 2 years ago
• rabeehk / compacter
  ☆129Updated 3 years ago
• EnnengYang / AdaMerging
  AdaMerging: Adaptive Model Merging for Multi-Task Learning. ICLR, 2024.
  ☆88Updated 9 months ago
• locuslab / massive-activations
  Code accompanying the paper "Massive Activations in Large Language Models"
  ☆176Updated last year
• YeonwooSung / LIMoE-pytorch
  PyTorch implementation of LIMoE
  ☆52Updated last year
• facebookresearch / SemDeDup
  Code for "SemDeDup", a simple method for identifying and removing semantic duplicates from a dataset (data pairs which are semantically s…
  ☆139Updated last year
• mmatena / model_merging
  ☆73Updated 3 years ago
• jianghaojun / Awesome-Parameter-Efficient-Transfer-Learning
  A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
  ☆404Updated 11 months ago
• fuzihaofzh / AnalyzeParameterEfficientFinetune
  On the Effectiveness of Parameter-Efficient Fine-Tuning
  ☆38Updated last year
• FreedomIntelligence / MLLM-Bench
  MLLM-Bench: Evaluating Multimodal LLMs with Per-sample Criteria
  ☆70Updated 10 months ago
• nbasyl / DoRA
  Official implementation of "DoRA: Weight-Decomposed Low-Rank Adaptation"
  ☆124Updated last year
• CASE-Lab-UMD / LLM-Drop
  The official implementation of the paper "What Matters in Transformers? Not All Attention is Needed".
  ☆174Updated 4 months ago
• bwconrad / vit-finetune
  Fine-tuning Vision Transformers on various classification datasets
  ☆109Updated 11 months ago
• rabeehk / hyperformer
  ☆157Updated 4 years ago
• vincentlux / Awesome-Multimodal-LLM
  Reading list for Multimodal Large Language Models
  ☆68Updated 2 years ago
• cambridgeltl / autopeft
  AutoPEFT: Automatic Configuration Search for Parameter-Efficient Fine-Tuning (Zhou et al.; TACL 2024)
  ☆46Updated last year
• alon-albalak / data-selection-survey
  A Survey on Data Selection for Language Models
  ☆247Updated 3 months ago
• r-three / smear
  ☆30Updated last year
• Cohere-Labs-Community / parameter-efficient-moe
  ☆269Updated last year