Alternatives and similar repositories for CLIP-LoRA

Users that are interested in CLIP-LoRA are comparing it to the libraries listed below

• muzairkhattak / PromptSRC
  [ICCV'23 Main Track, WECIA'23 Oral] Official repository of paper titled "Self-regulating Prompts: Foundational Model Adaptation without F…
  ☆275Updated last year
• zhengli97 / PromptKD
  [CVPR 2024] Official PyTorch Code for "PromptKD: Unsupervised Prompt Distillation for Vision-Language Models"
  ☆327Updated 3 weeks ago
• ZjjConan / VLM-MultiModalAdapter
  The official pytorch implemention of our CVPR-2024 paper "MMA: Multi-Modal Adapter for Vision-Language Models".
  ☆80Updated 4 months ago
• zhengli97 / ATPrompt
  [ICCV 2025] Official PyTorch Code for "Advancing Textual Prompt Learning with Anchored Attributes"
  ☆95Updated last week
• muzairkhattak / ProText
  [AAAI'25, CVPRW 2024] Official repository of paper titled "Learning to Prompt with Text Only Supervision for Vision-Language Models".
  ☆113Updated 9 months ago
• MaxZanella / transduction-for-vlms
  [NeurIPS 2024 - Spotlight] Transduction for Vision-Language Models (TransCLIP): code for the paper "Boosting Vision-Language Models with …
  ☆50Updated 5 months ago
• megvii-research / CasPL
  ☆45Updated 7 months ago
• MaxZanella / MTA
  [CVPR 2024] Zero-shot method for Vision-Language Models based on a robust formulation of the MeanShift algorithm for Test-time Augmentati…
  ☆61Updated 9 months ago
• JiazuoYu / MoE-Adapters4CL
  Code for paper "Boosting Continual Learning of Vision-Language Models via Mixture-of-Experts Adapters" CVPR2024
  ☆239Updated 2 weeks ago
• jaisidhsingh / LoRA-CLIP
  Easy wrapper for inserting LoRA layers in CLIP.
  ☆38Updated last year
• MarcLafon / gallop
  Adaptation of vision-language models (CLIP) to downstream tasks using local and global prompts.
  ☆48Updated 2 months ago
• ShuvenduRoy / CoPrompt
  [ICLR'24] Consistency-guided Prompt Learning for Vision-Language Models
  ☆81Updated last year
• AtsuMiyai / LoCoOp
  [NeurIPS2023] LoCoOp: Few-Shot Out-of-Distribution Detection via Prompt Learning
  ☆99Updated 2 months ago
• linyq2117 / TagCLIP
  [AAAI 2024] TagCLIP: A Local-to-Global Framework to Enhance Open-Vocabulary Multi-Label Classification of CLIP Without Training
  ☆101Updated last year
• MaxZanella / StatA
  [CVPR 2025 - Highlight] Official implementation of the paper "Realistic Test-Time Adaptation of Vision-Language Models" (StatA).
  ☆49Updated 4 months ago
• xjjxmu / TextRefiner
  The official code for "TextRefiner: Internal Visual Feature as Efficient Refiner for Vision-Language Models Prompt Tuning" | [AAAI2025]
  ☆44Updated 6 months ago
• shiming-chen / LaZSL
  Official implementations of our LaZSL (ICCV'25)
  ☆34Updated 2 months ago
• winycg / CLIP-KD
  [CVPR-2024] Official implementations of CLIP-KD: An Empirical Study of CLIP Model Distillation
  ☆125Updated 3 weeks ago
• injadlu / VCR
  ☆13Updated 6 months ago
• htyao89 / Textual-based_Class-aware_prompt_tuning
  ☆26Updated last year
• xmed-lab / CLIPN
  ICCV 2023: CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No
  ☆139Updated last year
• mrflogs / SHIP
  Official code for ICCV 2023 paper, "Improving Zero-Shot Generalization for CLIP with Synthesized Prompts"
  ☆101Updated last year
• kdiAAA / TDA
  [CVPR 2024] Official Repository for "Efficient Test-Time Adaptation of Vision-Language Models"
  ☆105Updated last year
• qunovo / NLPrompt
  ☆50Updated 2 months ago
• TJU-sjyj / AMU-Tuning
  ☆50Updated last year
• JREion / DPC
  [CVPR 2025] Official PyTorch Code for "DPC: Dual-Prompt Collaboration for Tuning Vision-Language Models"
  ☆31Updated this week
• Event-AHU / Prompt_Learning_Paper_List
  ☆18Updated 10 months ago
• zhengli97 / Awesome-Prompt-Adapter-Learning-for-VLMs
  A curated list of awesome prompt/adapter learning methods for vision-language models like CLIP.
  ☆671Updated last week
• AtsuMiyai / Awesome-OOD-VLM
  Generalized Out-of-Distribution Detection and Beyond in Vision Language Model Era: A Survey [Miyai+, TMLR2025]
  ☆96Updated 3 months ago
• CHENGY12 / PLOT
  [ICLR2023] PLOT: Prompt Learning with Optimal Transport for Vision-Language Models
  ☆171Updated last year