Alternatives and similar repositories for WATT

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

• Mehrdad-Noori / TFS-ViT_Token-level_Feature_Stylization
  [PR 2024] TFS-ViT: Token-Level Feature Stylization for Domain Generalization
  ☆24Updated 2 years ago
• FereshteShakeri / FewShot-CLIP-Strong-Baseline
  ☆34Updated last year
• dosowiechi / CLIPArTT
  ☆9Updated 9 months ago
• Bala93 / CLIPCalib
  Model calibration in CLIP Adapters
  ☆16Updated 8 months ago
• jusiro / CLAP
  [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…
  ☆72Updated last week
• Mehrdad-Noori / FDS
  [WACV 2025] FDS: Feedback-guided Domain Synthesis with Multi-Source Conditional Diffusion Models for Domain Generalization
  ☆16Updated 9 months ago
• jmiemirza / LaFTer
  LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)
  ☆28Updated last year
• val-iisc / VL2V-ADiP
  [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
  ☆31Updated last year
• idstcv / InMaP
  PyTorch Implementation for InMaP
  ☆11Updated last year
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆63Updated 3 months ago
• AtsuMiyai / GL-MCM
  [IJCV2025] https://arxiv.org/abs/2304.04521
  ☆14Updated 3 months ago
• mainaksingha01 / ODG-CLIP
  ☆18Updated 10 months ago
• TJU-sjyj / AMU-Tuning
  ☆46Updated last year
• MaxZanella / MTA
  [CVPR 2024] Zero-shot method for Vision-Language Models based on a robust formulation of the MeanShift algorithm for Test-time Augmentati…
  ☆54Updated 5 months ago
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆41Updated last year
• ThalesGroup / pim-generalized-category-discovery
  Code for our ICCV 2023 paper "Parametric Information Maximization for Generalized Category Discovery"
  ☆16Updated 10 months ago
• vladan-stojnic / ZLaP
  Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)
  ☆36Updated 9 months ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆90Updated 10 months ago
• SegoleneMartin / transductive-CLIP
  ☆29Updated 2 months ago
• fistyee / MDCS
  🔥MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition [Official, ICCV 2023]
  ☆30Updated 6 months ago
• machengcheng2016 / Subspace-Prompt-Learning
  Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)
  ☆27Updated last year
• koncle / DomainAdaptor
  ☆43Updated last year
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated 6 months ago
• FereshteShakeri / few-shot-MedVLMs
  ☆25Updated 7 months ago
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆55Updated last year
• jiexuanyan / CPRFL
  ☆16Updated 6 months ago
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆65Updated last year
• Ferenas / PGSeg
  This is the official code of "Uncovering Prototypical Knowledge for Weakly Open-Vocabulary Semantic Segmentation, NeurIPS 23"
  ☆25Updated last year
• richard-peng-xia / HGCLIP
  [COLING'25] HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
  ☆39Updated 5 months ago
• WisconsinAIVision / RISE
  Domain Generalization through Distilling CLIP with Language Guidance
  ☆29Updated last year