Alternatives and similar repositories for TDA

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

• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆66Updated last year
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆41Updated 3 months ago
• elaine-sui / TPS
  ☆18Updated 8 months ago
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆101Updated last year
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆167Updated last year
• Thunderbeee / ZSCL
  Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models
  ☆96Updated last year
• jameelhassan / PromptAlign
  [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
  ☆105Updated last year
• htyao89 / KgCoOp
  ☆96Updated last year
• ShuvenduRoy / CoPrompt
  [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models
  ☆75Updated last year
• LeapLabTHU / DAPrompt
  Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687
  ☆94Updated 2 years ago
• YukunLi99 / CoLeCLIP
  CoLeCLIP: Open-Domain Continual Learning via Joint Task Prompt and Vocabulary Learning
  ☆15Updated last year
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆96Updated 10 months ago
• ZjjConan / VLM-MultiModalAdapter
  The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".
  ☆68Updated 2 months ago
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆64Updated 5 months ago
• LAMDA-CL / PROOF
  Learning without Forgetting for Vision-Language Models (TPAMI 2025)
  ☆39Updated 4 months ago
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆51Updated 9 months ago
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆81Updated last year
• vanity1129 / AttriCLIP
  CVPR2023: AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning
  ☆15Updated 2 years ago
• Koorye / DePT
  [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"
  ☆104Updated 3 weeks ago
• ArsenalCheng / Meta-Adapter
  [NeurIPS 2023] Meta-Adapter
  ☆49Updated last year
• sunxm2357 / DualCoOp
  Implementation for "DualCoOp: Fast Adaptation to Multi-Label Recognition with Limited Annotations" (NeurIPS 2022))
  ☆63Updated last year
• azshue / TPT
  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
  ☆185Updated 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".
  ☆107Updated 6 months ago
• ChengHan111 / E2VPT
  Official Pytorch implementation of "E2VPT: An Effective and Efficient Approach for Visual Prompt Tuning". (ICCV2023)
  ☆69Updated last year
• TJU-sjyj / AMU-Tuning
  ☆47Updated last year
• vladan-stojnic / ZLaP
  Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)
  ☆39Updated 11 months ago
• mayug / VDT-Adapter
  This repository contains the code and datasets for our ICCV-W paper 'Enhancing CLIP with GPT-4: Harnessing Visual Descriptions as Prompts…
  ☆28Updated last year
• ryongithub / GatedPromptTuning
  ☆53Updated last year
• vgthengane / Continual-CLIP
  Official repository for "CLIP model is an Efficient Continual Learner".
  ☆97Updated 2 years ago
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated 7 months ago