Alternatives and similar repositories for Bayesian-Prompt-Learning:

Users that are interested in Bayesian-Prompt-Learning are comparing it to the libraries listed below

• DongSky / LPT
  ☆53Updated 2 years ago
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆62Updated 3 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
• ryongithub / GatedPromptTuning
  ☆52Updated last year
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆51Updated 2 years ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆86Updated 9 months ago
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆36Updated last month
• jmiemirza / LaFTer
  LaFTer: Label-Free Tuning of Zero-shot Classifier using Language and Unlabeled Image Collections (NeurIPS 2023)
  ☆28Updated last year
• geekyutao / TaskRes
  Task Residual for Tuning Vision-Language Models (CVPR 2023)
  ☆72Updated last year
• bbbdylan / proda
  [CVPR2022] PyTorch re-implementation of Prompt Distribution Learning
  ☆18Updated last year
• UCSC-VLAA / EVP
  [TMLR'24] This repository includes the official implementation our paper "Unleashing the Power of Visual Prompting At the Pixel Level"
  ☆39Updated 11 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
• muse1998 / Source-Free-Domain-Generalization
  An open-world scenario domain generalization code base
  ☆26Updated 2 years ago
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆53Updated last year
• vladan-stojnic / ZLaP
  Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)
  ☆36Updated 8 months ago
• OPTML-Group / ILM-VP
  [CVPR23] "Understanding and Improving Visual Prompting: A Label-Mapping Perspective" by Aochuan Chen, Yuguang Yao, Pin-Yu Chen, Yihua Zha…
  ☆53Updated last year
• naver-ai / dap-cl
  Official code of "Generating Instance-level Prompts for Rehearsal-free Continual Learning (ICCV 2023)"
  ☆42Updated last year
• TJU-sjyj / AMU-Tuning
  ☆45Updated 11 months ago
• zhaohengz / LLaMP
  Official Repository for CVPR 2024 Paper: "Large Language Models are Good Prompt Learners for Low-Shot Image Classification"
  ☆34Updated 9 months ago
• Zhanxin-Gao / CPrompt
  Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]
  ☆33Updated 9 months ago
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆99Updated last year
• schowdhury671 / APoLLo
  ☆23Updated 10 months ago
• Koorye / DePT
  [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"
  ☆97Updated 4 months ago
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆49Updated 5 months ago
• Coxy7 / robust-finetuning
  Official PyTorch implementation of "Masked Images Are Counterfactual Samples for Robust Fine-tuning" (CVPR 2023)
  ☆15Updated 2 years ago
• TOM-tym / APG
  Official PyTorch implementation of our ICCV2023 paper “When Prompt-based Incremental Learning Does Not Meet Strong Pretraining”
  ☆16Updated last year
• sheng-eatamath / PromptCAL
  Official Implementation of paper: PromptCAL: Contrastive Affinity Learning via Auxiliary Prompts for Generalized Novel Category Discovery…
  ☆43Updated 2 years ago
• YBZh / DMN
  CVPR2024: Dual Memory Networks: A Versatile Adaptation Approach for Vision-Language Models
  ☆70Updated 9 months ago
• lloongx / DIKI
  [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
  ☆46Updated 9 months ago
• ChengHan111 / VPT-or-FT
  Official Pytorch implementation of 'Facing the Elephant in the Room: Visual Prompt Tuning or Full Finetuning'? (ICLR2024)
  ☆13Updated last year