Alternatives and similar repositories for TPS

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

• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆44Updated 8 months ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆109Updated last year
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated last year
• TomSheng21 / R-TPT
  CVPR 2025 - R-TPT: Improving Adversarial Robustness of Vision-Language Models through Test-Time Prompt Tuning
  ☆16Updated 2 months ago
• thuml / CLIPood
  About Code Release for "CLIPood: Generalizing CLIP to Out-of-Distributions" (ICML 2023), https://arxiv.org/abs/2302.00864
  ☆68Updated 2 years ago
• XueJiang16 / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆28Updated last year
• TomSheng21 / tta-vlm
  [NeurIPS 2025 Datasets & Benchmarks Track] The Illusion of Progress? A Critical Look at Test-Time Adaptation for Vision-Language Models
  ☆24Updated 3 weeks ago
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆58Updated last year
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆103Updated last year
• mrflogs / ICLR24
  Official code for ICLR 2024 paper, "A Hard-to-Beat Baseline for Training-free CLIP-based Adaptation"
  ☆84Updated last year
• tim-learn / UEO
  ICML-2024 highlight paper "Realistic Unsupervised CLIP Fine-tuning with Universal Entropy Optimization"
  ☆18Updated last year
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆100Updated 4 months ago
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆57Updated 7 months ago
• srvCodes / clap4clip
  Code for our NeurIPS´24 paper
  ☆36Updated last year
• linlany / RAPF
  ☆47Updated 7 months ago
• tmlr-group / NegLabel
  [ICLR 2024 Spotlight] "Negative Label Guided OOD Detection with Pretrained Vision-Language Models"
  ☆21Updated last year
• vanillaer / CPL-ICML2024
  [ICML 2024] Offical code repo for ICML2024 paper "Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with …
  ☆31Updated last year
• shikiw / DAM-VP
  [CVPR 2023] Diversity-Aware Meta Visual Prompting
  ☆82Updated last year
• chunmeifeng / DiffTPT
  【ICCV 2023】Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning & 【IJCV 2025】Diffusion-Enhanced Test-time Adap…
  ☆68Updated 10 months ago
• yunbeizhang / DPCore
  [ICML 2025] DPCore: Dynamic Prompt Coreset for Continual Test-Time Adaptation
  ☆24Updated last month
• Forest-art / DFSP
  ☆21Updated 2 years ago
• idstcv / InMaP
  PyTorch Implementation for InMaP
  ☆11Updated 2 years ago
• zhengzangw / DoPrompt
  Official implementation of PCS in essay "Prompt Vision Transformer for Domain Generalization"
  ☆50Updated 2 years ago
• LeapLabTHU / DAPrompt
  Pytorch implementation of DAPrompt: https://arxiv.org/abs/2202.06687
  ☆96Updated 2 years ago
• shiming-chen / LaZSL
  Official implementations of our LaZSL (ICCV'25)
  ☆37Updated 4 months ago
• azshue / TPT
  Test-time Prompt Tuning (TPT) for zero-shot generalization in vision-language models (NeurIPS 2022))
  ☆199Updated 3 years ago
• ycfate / ID-like
  ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection
  ☆25Updated last year
• zzzx1224 / DynaPrompt
  Code of ICLR 2025 paper "DynaPrompt: Dynamic Test-Time Prompt Tuning"
  ☆20Updated 9 months ago
• deeplearning-wisc / MCM
  PyTorch implementation of MCM (Delving into out-of-distribution detection with vision-language representations), NeurIPS 2022
  ☆91Updated last year
• BeierZhu / GLA
  [NeurIPS 2023] Generalized Logit Adjustment
  ☆39Updated last year