Topic: "parameter-efficient-tuning"
adapter-hub/adapters
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Language: Jupyter Notebook - Size: 96.9 MB - Last synced at: about 3 hours ago - Pushed at: 3 days ago - Stars: 2,689 - Forks: 360

ttengwang/Awesome_Prompting_Papers_in_Computer_Vision
A curated list of prompt-based paper in computer vision and vision-language learning.
Size: 72.3 KB - Last synced at: 11 days ago - Pushed at: over 1 year ago - Stars: 918 - Forks: 72

NVlabs/DoRA
[ICML2024 (Oral)] Official PyTorch implementation of DoRA: Weight-Decomposed Low-Rank Adaptation
Language: Python - Size: 3.06 MB - Last synced at: 4 months ago - Pushed at: 7 months ago - Stars: 668 - Forks: 44

jianghaojun/Awesome-Parameter-Efficient-Transfer-Learning
A collection of parameter-efficient transfer learning papers focusing on computer vision and multimodal domains.
Size: 165 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 372 - Forks: 23

HenryHZY/Awesome-Multimodal-LLM
Research Trends in LLM-guided Multimodal Learning.
Size: 17.6 KB - Last synced at: 3 days ago - Pushed at: over 1 year ago - Stars: 358 - Forks: 16

calpt/awesome-adapter-resources
Collection of Tools and Papers related to Adapters / Parameter-Efficient Transfer Learning/ Fine-Tuning
Language: Python - Size: 213 KB - Last synced at: 6 days ago - Pushed at: 12 months ago - Stars: 189 - Forks: 11

JieShibo/PETL-ViT
[ICCV 2023 & AAAI 2023] Binary Adapters & FacT, [Tech report] Convpass
Language: Python - Size: 18.5 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 180 - Forks: 8

eric-ai-lab/PEViT
Official implementation of AAAI 2023 paper "Parameter-efficient Model Adaptation for Vision Transformers"
Language: Python - Size: 2.96 MB - Last synced at: 18 days ago - Pushed at: over 1 year ago - Stars: 104 - Forks: 5

thunlp/Prompt-Transferability
On Transferability of Prompt Tuning for Natural Language Processing
Language: Python - Size: 629 MB - Last synced at: 19 days ago - Pushed at: 12 months ago - Stars: 99 - Forks: 11

ShiZhengyan/DePT
[ICLR 2024] This is the repository for the paper titled "DePT: Decomposed Prompt Tuning for Parameter-Efficient Fine-tuning"
Language: Python - Size: 3.71 MB - Last synced at: 15 days ago - Pushed at: about 1 year ago - Stars: 96 - Forks: 16

changdaeoh/BlackVIP
Official implementation for CVPR'23 paper "BlackVIP: Black-Box Visual Prompting for Robust Transfer Learning"
Language: Python - Size: 1.81 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 82 - Forks: 8

zhangyikaii/LAMDA-ZhiJian
ZhiJian: A Unifying and Rapidly Deployable Toolbox for Pre-trained Model Reuse
Language: Python - Size: 13 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 51 - Forks: 2

Paranioar/UniPT
[CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
Language: Python - Size: 15.6 MB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 49 - Forks: 0

WillDreamer/Aurora
[NeurIPS2023] Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
Language: Python - Size: 118 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 48 - Forks: 3

morningmoni/UniPELT
Code for paper "UniPELT: A Unified Framework for Parameter-Efficient Language Model Tuning", ACL 2022
Language: Python - Size: 1.59 MB - Last synced at: over 1 year ago - Pushed at: about 3 years ago - Stars: 45 - Forks: 2

bighuang624/VoP
[CVPR 2023] VoP: Text-Video Co-operative Prompt Tuning for Cross-Modal Retrieval
Size: 2.93 KB - Last synced at: about 2 months ago - Pushed at: about 2 years ago - Stars: 38 - Forks: 3

ImKeTT/AdaVAE
[Preprint] AdaVAE: Exploring Adaptive GPT-2s in VAEs for Language Modeling PyTorch Implementation
Language: Python - Size: 888 KB - Last synced at: 10 days ago - Pushed at: over 1 year ago - Stars: 35 - Forks: 4

ZO-Bench/ZO-LLM
[ICML 2024] Official code for the paper "Revisiting Zeroth-Order Optimization for Memory-Efficient LLM Fine-Tuning: A Benchmark ".
Language: Python - Size: 156 KB - Last synced at: 10 months ago - Pushed at: 10 months ago - Stars: 34 - Forks: 3

OSU-MLB/ViT_PEFT_Vision
[CVPR'25] Lessons and Insights from a Unifying Study of Parameter-Efficient Fine-Tuning (PEFT) in Visual Recognition
Language: Jupyter Notebook - Size: 3.54 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 31 - Forks: 0

jaisidhsingh/LoRA-CLIP
Easy wrapper for inserting LoRA layers in CLIP.
Language: Python - Size: 60.5 KB - Last synced at: 5 days ago - Pushed at: 10 months ago - Stars: 31 - Forks: 3

LeapLabTHU/Cross-Modal-Adapter
[arXiv] Cross-Modal Adapter for Text-Video Retrieval
Size: 3.39 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 29 - Forks: 2

mlvlab/ProMetaR
Official implementation of CVPR 2024 paper "Prompt Learning via Meta-Regularization".
Language: Python - Size: 2.85 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 27 - Forks: 1

auniquesun/PPT
[ICRA 2024] Official Implementation of the Paper "Parameter-efficient Prompt Learning for 3D Point Cloud Understanding"
Language: Jupyter Notebook - Size: 11 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 22 - Forks: 5

westlake-repl/Adapter4Rec
Multi-domain Recommendation with Adapter Tuning
Language: Python - Size: 46.9 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 17 - Forks: 1

Allen0307/AdapterBias
Code for the Findings of NAACL 2022(Long Paper): AdapterBias: Parameter-efficient Token-dependent Representation Shift for Adapters in NLP Tasks
Language: Python - Size: 4.46 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 17 - Forks: 0

danelpeng/Awesome-Continual-Leaning-with-PTMs
This is a curated list of "Continual Learning with Pretrained Models" research.
Size: 254 KB - Last synced at: 7 days ago - Pushed at: 30 days ago - Stars: 16 - Forks: 0

gauss5930/AlpaGasus2-QLoRA
This is AlpaGasus2-QLoRA based on LLaMA2 with AlpaGasus mechanism using QLoRA!
Language: Python - Size: 3 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 15 - Forks: 3

yunqing-me/AdAM
The Thirty-Sixth Annual Conference on Neural Information Processing Systems (NeurIPS) 2022
Language: Python - Size: 44.1 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 13 - Forks: 1

declare-lab/domadapter
Code for EACL'23 paper "Udapter: Efficient Domain Adaptation Using Adapters"
Language: Python - Size: 538 KB - Last synced at: 9 days ago - Pushed at: about 2 years ago - Stars: 10 - Forks: 1

daskol/lotr
Low Tensor Rank adaptation of large language models
Language: Python - Size: 132 KB - Last synced at: 10 days ago - Pushed at: 11 months ago - Stars: 9 - Forks: 1

siyi-wind/AViT
[MICCAI ISIC Workshop 2023] AViT: Adapting Vision Transformers for Small Skin Lesion Segmentation Datasets (an official implementation)
Language: Python - Size: 593 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 9 - Forks: 1

louisc-s/QLoRA-Fine-tuning-for-Film-Character-Styled-Responses-from-LLM
Code for fine-tuning Llama2 LLM with custom text dataset to produce film character styled responses
Language: Python - Size: 63.1 MB - Last synced at: 4 days ago - Pushed at: over 1 year ago - Stars: 8 - Forks: 1

joaopauloschuler/kEffNetV1
This repository contains the source code for the paper "Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks".
Language: Jupyter Notebook - Size: 131 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 6 - Forks: 1

oppolla/Self-Organizing-Virtual-Lifeform
SOVL System (Self-Organizing Virtual Lifeform): An AI agent with autonomous learning capabilities, combining a base LLM with a scaffolded second dynamic LLM for continuous learning via sleep and dream mechanisms
Language: Python - Size: 2.8 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 5 - Forks: 1

Paranioar/GSSF
[TIP2024] The code of "GSSF: Generalized Structural Sparse Function for Deep Cross-modal Metric Learning"
Size: 5.86 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 5 - Forks: 0

adarobustness/adaptation_robustness
Evaluate robustness of adaptation methods on large vision-language models
Language: Shell - Size: 1.66 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 5 - Forks: 0

yejoon-lee/kr3
KR3: Korean Restaurant Review with Ratings / Experiments on Parameter-efficient Tuning and Task-adaptive Pre-training
Language: Jupyter Notebook - Size: 600 KB - Last synced at: almost 2 years ago - Pushed at: over 2 years ago - Stars: 5 - Forks: 2

gimpong/ICCV23-IDPT Fork of zyh16143998882/ICCV23-IDPT
The code for the paper "Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models" (ICCV'23).
Language: Python - Size: 931 KB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 4 - Forks: 0

Jaso1024/Self-Attention-Factor-Tuning
Code for SAFT: Self-Attention Factor-Tuning, a 16x more efficient solution for fine-tuning neural networks
Language: Python - Size: 75.2 KB - Last synced at: 12 months ago - Pushed at: 12 months ago - Stars: 3 - Forks: 0

sergio11/llm_finetuning_and_evaluation
The LLM FineTuning and Evaluation project π enhances FLAN-T5 models for tasks like summarizing Spanish news articles πͺπΈπ°. It features detailed notebooks π on fine-tuning and evaluating models to optimize performance for specific applications. πβ¨
Language: Jupyter Notebook - Size: 499 KB - Last synced at: 5 days ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 1

Paranioar/SHERL
[ECCV2024] The code of "SHERL: Synthesizing High Accuracy and Efficient Memory for Resource-Limited Transfer Learning"
Size: 8.79 KB - Last synced at: 7 months ago - Pushed at: 7 months ago - Stars: 2 - Forks: 0

sebastianpinedaar/finetuning_text_classifiers
A simple code-base for finetuning Large Language Models for classification tasks.
Language: Jupyter Notebook - Size: 52.7 KB - Last synced at: 9 months ago - Pushed at: 9 months ago - Stars: 2 - Forks: 0

MIFA-Lab/SAFE
Implementation for NeurIPS 2024 paper "SAFE: Slow and Fast Parameter-Efficient Tuning for Continual Learning with Pre-Trained Models" (https://arxiv.org/abs/2411.02175)
Language: Python - Size: 497 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

lucalila/fishpal
Master Thesis on "Comparing Modular Approaches for Parameter-Efficient Fine-Tuning"
Language: Python - Size: 9.05 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

nikhil-chigali/AdapterBERT
This project is an implementation of the paper: Parameter-Efficient Transfer Learning for NLP, Houlsby [Google], ICML 2019.
Language: Python - Size: 130 KB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

adarobustness/corruption
The code for generating natural distribution shifts on image and text datasets.
Language: Python - Size: 4.47 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0
