Alternatives and similar repositories for CTP

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

• KevinLight831 / P9D
  The download methods of Vision-language Continual Pretraining Dataset P9D.
  ☆11Updated 5 months ago
• zackschen / CoIN
  Instruction Tuning in Continual Learning paradigm
  ☆49Updated 4 months ago
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆101Updated last year
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆81Updated last year
• kaipengfang / ProS
  ☆20Updated 10 months ago
• DongSky / LPT
  ☆53Updated 2 years ago
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆37Updated last year
• tmlr-group / WCA
  [ICML 2024] "Visual-Text Cross Alignment: Refining the Similarity Score in Vision-Language Models"
  ☆51Updated 9 months ago
• htyao89 / KgCoOp
  ☆96Updated last year
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆96Updated last year
• BeierZhu / Prompt-align
  [ICCV 2023] Prompt-aligned Gradient for Prompt Tuning
  ☆164Updated last year
• azshue / TPT
  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
  ☆184Updated 2 years ago
• Paranioar / UniPT
  [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
  ☆68Updated 7 months ago
• ziplab / SPT
  [ICCV 2023 oral] This is the official repository for our paper: ''Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning''.
  ☆70Updated last year
• Timsty1 / FineCLIP
  FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding (NIPS24)
  ☆22Updated 5 months ago
• guozix / TaI-DPT
  ☆92Updated last year
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆50Updated 2 years ago
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆41Updated 2 months ago
• elaine-sui / TPS
  ☆17Updated 7 months ago
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆66Updated last year
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated 6 months ago
• LAMDA-CL / PROOF
  Learning without Forgetting for Vision-Language Models (TPAMI 2025)
  ☆38Updated 3 months ago
• GT-RIPL / CODA-Prompt
  PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
  ☆139Updated last year
• yfzhang114 / LLaVA-Align
  This is the official repo for Debiasing Large Visual Language Models, including a Post-Hoc debias method and Visual Debias Decoding strat…
  ☆78Updated 3 months ago
• dongzelian / SSF
  [NeurIPS'22] This is an official implementation for "Scaling & Shifting Your Features: A New Baseline for Efficient Model Tuning".
  ☆182Updated last year
• tim-learn / UEO
  ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"
  ☆15Updated 10 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
• lloongx / DIKI
  [ECCV 2024] Mind the Interference: Retaining Pre-trained Knowledge in Parameter Efficient Continual Learning of Vision-Language Models
  ☆47Updated 10 months ago
• linghan1997 / Regression-based-Analytic-Incremental-Learning
  ☆23Updated 3 months ago
• Zhanxin-Gao / CPrompt
  Consistent Prompting for Rehearsal-Free Continual Learning [CVPR2024]
  ☆33Updated last month