Alternatives and similar repositories for LaFTer

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

• jameelhassan / PromptAlign
  [NeurIPS 2023] Align Your Prompts: Test-Time Prompting with Distribution Alignment for Zero-Shot Generalization
  ☆108Updated last year
• Mehrdad-Noori / WATT
  [NeurIPS 2024] WATT: Weight Average Test-Time Adaptation of CLIP
  ☆56Updated last year
• jusiro / CLAP
  [CVPR'24] Validation-free few-shot adaptation of CLIP, using a well-initialized Linear Probe (ZSLP) and class-adaptive constraints (CLAP)…
  ☆77Updated 5 months ago
• vladan-stojnic / ZLaP
  Code for Label Propagation for Zero-shot Classification with Vision-Language Models (CVPR2024)
  ☆43Updated last year
• mzhaoshuai / RLCF
  [ICLR 2024] Test-Time RL with CLIP Feedback for Vision-Language Models.
  ☆95Updated last month
• 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
• machengcheng2016 / Subspace-Prompt-Learning
  Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)
  ☆28Updated last year
• mala-lab / NegPrompt
  The official implementation of CVPR 24' Paper "Learning Transferable Negative Prompts for Out-of-Distribution Detection"
  ☆58Updated last year
• FarinaMatteo / zero
  [NeurIPS '24] Frustratingly easy Test-Time Adaptation of VLMs!!
  ☆57Updated 7 months ago
• mlvlab / DAPT
  Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)
  ☆43Updated last year
• WisconsinAIVision / RISE
  Domain Generalization through Distilling CLIP with Language Guidance
  ☆33Updated 2 years ago
• BatsResearch / menghini-neurips23-code
  Exploring prompt tuning with pseudolabels for multiple modalities, learning settings, and training strategies.
  ☆50Updated last year
• mainaksingha01 / ODG-CLIP
  ☆20Updated last month
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆103Updated last year
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆100Updated 4 months ago
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆110Updated last year
• cvl-umass / AdaptCLIPZS
  ☆43Updated last month
• jmiemirza / ActMAD
  ActMAD: Activation Matching to Align Distributions for Test-Time-Training (CVPR 2023)
  ☆21Updated 2 years ago
• AtsuMiyai / GL-MCM
  [IJCV2025] https://arxiv.org/abs/2304.04521
  ☆15Updated 10 months ago
• saic-fi / Bayesian-Prompt-Learning
  [ICCV 2023] Bayesian Prompt Learning for Image-Language Model Generalization
  ☆37Updated 2 years ago
• Bala93 / CLIPCalib
  Model calibration in CLIP Adapters
  ☆19Updated last year
• YCaigogogo / CODER
  ☆22Updated last year
• mlvlab / RPO
  Official Implementation of "Read-only Prompt Optimization for Vision-Language Few-shot Learning", ICCV 2023
  ☆54Updated 2 years ago
• val-iisc / VL2V-ADiP
  [CVPR 2024] Leveraging Vision-Language Models for Improving Domain Generalization in Image Classification
  ☆36Updated last year
• FereshteShakeri / FewShot-CLIP-Strong-Baseline
  ☆38Updated last year
• ArsenalCheng / Meta-Adapter
  [NeurIPS 2023] Meta-Adapter
  ☆48Updated 2 years ago
• zhangce01 / DPE-CLIP
  [NeurIPS 2024] Code for Dual Prototype Evolving for Test-Time Generalization of Vision-Language Models
  ☆44Updated 8 months ago
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆171Updated last year
• KU-VGI / PriViLege
  [CVPR 2024] PriViLege: Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
  ☆53Updated last year
• geekyutao / TaskRes
  Task Residual for Tuning Vision-Language Models (CVPR 2023)
  ☆73Updated 2 years ago