Alternatives and similar repositories for AMU-Tuning

Users that are interested in AMU-Tuning are comparing it to the libraries listed below

• htyao89 / Textual-based_Class-aware_prompt_tuning
  ☆27Updated last year
• YBZh / DMN
  CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
  ☆85Updated last year
• fistyee / MDCS
  🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]
  ☆30Updated last year
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆102Updated last year
• Koorye / DePT
  [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"
  ☆108Updated 4 months ago
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆58Updated last year
• shiming-chen / LaZSL
  Official implementations of our LaZSL (ICCV'25)
  ☆36Updated 3 months ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆108Updated last year
• zhaohengz / LLaMP
  Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"
  ☆38Updated last year
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆68Updated 9 months ago
• ShuvenduRoy / CoPrompt
  [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models
  ☆82Updated last year
• jusiro / CLAP
  [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…
  ☆78Updated 4 months ago
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆43Updated 7 months ago
• Mehrdad-Noori / WATT
  [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP
  ☆55Updated last year
• vladan-stojnic / ZLaP
  Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)
  ☆43Updated last year
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆100Updated 3 months ago
• htyao89 / KgCoOp
  ☆103Updated last year
• ChengHan111 / E2VPT
  Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)
  ☆70Updated last year
• gaojingsheng / LAMM
  Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024
  ☆33Updated last year
• The-Shuai / DeIL
  Python code to implement DeIL, a CLIP based approach for open-world few-shot learning.
  ☆19Updated 11 months ago
• ZjjConan / VLM-MultiModalAdapter
  The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".
  ☆83Updated 6 months ago
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆50Updated 2 years ago
• ycfate / ID-like
  ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
  ☆25Updated last year
• ArsenalCheng / Meta-Adapter
  [NeurIPS 2023] Meta-Adapter
  ☆48Updated last year
• zhangdoudou123 / SemFew
  [CVPR2024] Simple Semantic-Aided Few-Shot Learning
  ☆51Updated last year
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆53Updated last year
• DavidYanAnDe / ARC
  ☆34Updated last year
• mainaksingha01 / ODG-CLIP
  ☆20Updated 2 weeks ago
• geekyutao / TaskRes
  Task Residual for Tuning Vision-Language Models (CVPR 2023)
  ☆73Updated 2 years ago
• MarcLafon / gallop
  Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.
  ☆49Updated 3 months ago