Alternatives and similar repositories for CTP

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

• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆58Updated 6 months ago
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆80Updated last year
• azshue / TPT
  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
  ☆193Updated 2 years ago
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆96Updated last year
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆38Updated last year
• htyao89 / KgCoOp
  ☆100Updated last year
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆100Updated last year
• BeierZhu / Prompt-align
  [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
  ☆166Updated 2 years ago
• KevinLight831 / P9D
  The download methods of Vision-language Continual Pretraining Dataset P9D.
  ☆12Updated 7 months ago
• kaipengfang / ProS
  ☆20Updated last year
• GT-RIPL / CODA-Prompt
  PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
  ☆146Updated last year
• tmlr-group / WCA
  [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
  ☆55Updated 11 months ago
• DongSky / LPT
  ☆53Updated 2 years ago
• muzairkhattak / ProText
  [AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".
  ☆111Updated 8 months ago
• zugexiaodui / VPTinNSforCL
  Visual Prompt Tuning in Null Space for Continual Learning (NeurIPS 2024)
  ☆17Updated 10 months ago
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆97Updated last month
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆170Updated last year
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆185Updated last year
• AuroraZengfh / Local-Prompt
  [ICLR 2025] Official Implementation of Local-Prompt: Extensible Local Prompts for Few-Shot Out-of-Distribution Detection
  ☆45Updated last month
• YCaigogogo / CODER
  ☆22Updated last year
• jameelhassan / PromptAlign
  [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
  ☆106Updated last year
• vishaal27 / SuS-X
  Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
  ☆104Updated 2 years ago
• Zhanxin-Gao / CPrompt
  Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]
  ☆34Updated 2 months ago
• sachit-menon / classify_by_description_release
  ☆170Updated last year
• XueJiang16 / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆27Updated 10 months ago
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆43Updated 5 months ago
• shikiw / DAM-VP
  [CVPR 2023] Diversity-Aware Meta Visual Prompting
  ☆82Updated last year
• LeapLabTHU / DAPrompt
  Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687
  ☆95Updated 2 years ago
• guozix / TaI-DPT
  ☆94Updated 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“
  ☆102Updated 11 months ago