Alternatives and similar repositories for cpe-clip

Users that are interested in cpe-clip are comparing it to the libraries listed below

• DawnLIU35 / FSCIL-ASP
  Official implementation of Few-shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt (ECCV2024)
  ☆34Updated last year
• linlany / RAPF
  ☆48Updated 9 months ago
• BaiShuanghao / Prompt-based-Distribution-Alignment
  [AAAI 2024] Prompt-based Distribution Alignment for Unsupervised Domain Adaptation
  ☆74Updated last year
• zhoujiahuan1991 / CVPR2024-FCS
  [CVPR2024] FCS: Feature Calibration and Separation for Non-Exemplar Class Incremental Learning
  ☆16Updated 8 months ago
• TJU-sjyj / AMU-Tuning
  ☆55Updated last year
• MarcLafon / gallop
  Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.
  ☆50Updated 5 months ago
• srvCodes / clap4clip
  Code for our NeurIPS´24 paper
  ☆38Updated last year
• 1170300714 / LP-DiF
  ☆22Updated last year
• LAMDA-CL / ICCV25-ENGINE
  External Knowledge Injection for CLIP-Based Class-Incremental Learning (ICCV 2025)
  ☆50Updated last month
• wangkiw / TEEN
  The code repository for "Few-Shot Class-Incremental Learning via Training-Free Prototype Calibration" (NeurIPS'23) in PyTorch
  ☆67Updated last year
• gulzainali98 / LGCL
  ☆10Updated last year
• shiming-chen / LaZSL
  Official implementations of our LaZSL (ICCV'25)
  ☆38Updated 5 months ago
• codeshop715 / SPM
  ☆27Updated 2 years ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆112Updated last year
• sun-hailong / CVPR24-Ease
  [CVPR 2024] The code repository for "Expandable Subspace Ensemble for Pre-Trained Model-Based Class-Incremental Learning" in PyTorch.
  ☆80Updated 9 months ago
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆55Updated last year
• zhangdoudou123 / SemFew
  [CVPR2024] Simple Semantic-Aided Few-Shot Learning
  ☆52Updated last year
• htyao89 / Textual-based_Class-aware_prompt_tuning
  ☆31Updated last year
• LAMDA-CL / PROOF
  Learning without Forgetting for Vision-Language Models (TPAMI 2025)
  ☆55Updated 6 months ago
• ZjjConan / VLM-MultiModalAdapter
  The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".
  ☆95Updated 8 months ago
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆60Updated last year
• Estrella-fugaz / CVPR25-DUCT
  Dual Consolidation for Pre-Trained Model-Based Domain-Incremental Learning （CVPR 2025）
  ☆28Updated 7 months ago
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆102Updated 6 months ago
• XLearning-SCU / 2024-ICLR-READ
  Pytorch implementation of "Test-time Adaption against Multi-modal Reliability Bias".
  ☆44Updated last year
• iamwangyabin / S-Prompts
  Code for NeurIPS 2022 paper “S-Prompts Learning with Pre-trained Transformers: An Occam’s Razor for Domain Incremental Learning“
  ☆106Updated last year
• TL-UESTC / DAMP
  The Pytorch implementation of Domain-Agnostic Mutual Prompting for Unsupervised Domain Adaptation
  ☆37Updated last year
• zugexiaodui / VPTinNSforCL
  Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)
  ☆20Updated last month
• tim-learn / UEO
  ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"
  ☆18Updated last year
• McDonnell-Research-Lab / RanPAC
  RanPAC: Random Projections and Pre-trained Models for Continual Learning - Official code repository for NeurIPS 2023 Published Paper
  ☆57Updated 10 months ago
• gaojingsheng / LAMM
  Code and Dataset for the paper "LAMM: Label Alignment for Multi-Modal Prompt Learning" AAAI 2024
  ☆33Updated 2 years ago