parameter-efficient-tuning 开源项目推荐（51 个）

adapter-hub /adapters

A Unified Library for Parameter-Efficient and Modular Transfer Learning

NVlabs /DoRA

[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation

ttengwang /Awesome_Prompting_Papers_in_Computer_Vision

计算机视觉和视觉语言学习领域基于预算的论文精选列表。

jianghaojun /Awesome-Parameter-Efficient-Transfer-Learning

A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.

HenryHZY /Awesome-Multimodal-LLM

Research Trends in LLM-guided Multimodal Learning.

calpt /awesome-adapter-resources

Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning

JieShibo /PETL-ViT

[ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass

LeapLabTHU /Cross-Modal-Adapter

[Pattern Recognition 2025] Cross-Modal Adapter for Vision-Language Retrieval

ZO-Bench /ZO-LLM

[ICML‘24] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".

changdaeoh /BlackVIP

Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"

UCSB-AI /PEViT

Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"

ShiZhengyan /DePT

[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"

thunlp /Prompt-Transferability

On Transferability of Prompt Tuning for Natural Language Processing

WillDreamer /Aurora

[NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model

Paranioar /UniPT

[CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"

AuroraZengfh /RobustMerge

[NeurIPS'25 Spotlight🔥] Official Implementation of RobustMerge: Parameter-Efficient Model Merging for MLLMs with Direction Robustness

morningmoni /UniPELT

论文《UniPELT：参数高效语言模型调优统一框架》，ACL 2022 的代码

OSU-MLB /ViT_PEFT_Vision

[CVPR'25 (Highlight)] Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition

knightyxp /DGL

[AAAI 2024] DGL: Dynamic Global-Local Prompt Tuning for Text-Video Retrieval.

zhangyikaii /LAMDA-ZhiJian

ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse