Alternatives and similar repositories for CLIPFit

Users that are interested in CLIPFit are comparing it to the libraries listed below

• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆111Updated last year
• idstcv / InMaP
  PyTorch Implementation for InMaP
  ☆11Updated 2 years ago
• elaine-sui / TPS
  ☆21Updated last week
• zzzx1224 / DynaPrompt
  Code of ICLR 2025 paper "DynaPrompt: Dynamic Test-Time Prompt Tuning"
  ☆20Updated 10 months ago
• ZjjConan / VLM-MultiModalAdapter
  The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".
  ☆94Updated 8 months ago
• XLearning-SCU / 2024-ICLR-READ
  Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".
  ☆44Updated last year
• ycfate / ID-like
  ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
  ☆26Updated last year
• tmlr-group / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆21Updated last year
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆45Updated 9 months ago
• yuanyige / tea
  [CVPR 2024] TEA: Test-time Energy Adaptation
  ☆71Updated last year
• BaiShuanghao / Prompt-based-Distribution-Alignment
  [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
  ☆75Updated last year
• Jhyun17 / DeYO
  ☆29Updated last year
• vanillaer / CPL-ICML2024
  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …
  ☆31Updated last year
• zhanghr2001 / PromptTA
  Source-free Domain Generalization
  ☆15Updated last year
• TJU-sjyj / AMU-Tuning
  ☆55Updated last year
• renytek13 / Soft-Prompt-Generation
  [ECCV 2024] Soft Prompt Generation for Domain Generalization
  ☆28Updated last year
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆69Updated 2 years ago
• lloongx / DIKI
  [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
  ☆55Updated last year
• ShuvenduRoy / CoPrompt
  [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models
  ☆83Updated last year
• FereshteShakeri / FewShot-CLIP-Strong-Baseline
  ☆38Updated last year
• MarcLafon / gallop
  Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.
  ☆50Updated 5 months ago
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆59Updated last year
• htyao89 / Textual-based_Class-aware_prompt_tuning
  ☆30Updated last year
• val-iisc / VL2V-ADiP
  [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
  ☆38Updated last year
• TomSheng21 / tta-vlm
  [NeurIPS 2025 Datasets & Benchmarks Track] The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
  ☆29Updated 2 months ago
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆54Updated last year
• zzzx1224 / Beyond-model-adaptation-at-test-time-Papers
  ☆46Updated last year
• zxk1212 / OODD
  [CVPR2025] The implementation of the paper "OODD: Test-time Out-of-Distribution Detection with Dynamic Dictionary".
  ☆18Updated 7 months ago
• FisherCats / CLG-CBM
  The official PyTorch implementation of CVPR2025 paper "Language Guided Concept Bottleneck Models for Interpretable Continual Learning"
  ☆29Updated 6 months ago
• longshaocong / DGMamba
  ☆35Updated last year