Alternatives and similar repositories for LMC

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

• lixinustc / GraphAdapter
  The efficient tuning method for VLMs
  ☆80Updated last year
• xuanlinli17 / large_vlm_distillation_ood
  Distilling Large Vision-Language Model with Out-of-Distribution Generalizability (ICCV 2023)
  ☆58Updated last year
• bruceyo / V-PETL
  Towards a Unified View on Visual Parameter-Efficient Transfer Learning
  ☆26Updated 2 years ago
• callsys / GenPromp
  [ICCV 2023] Generative Prompt Model for Weakly Supervised Object Localization
  ☆57Updated last year
• ZhangYuanhan-AI / visual_prompt_retrieval
  [NeurIPS2023] Official implementation and model release of the paper "What Makes Good Examples for Visual In-Context Learning?"
  ☆177Updated last year
• vishaal27 / SuS-X
  Code for the paper: "SuS-X: Training-Free Name-Only Transfer of Vision-Language Models" [ICCV'23]
  ☆103Updated last year
• geekyutao / TaskRes
  Task Residual for Tuning Vision-Language Models (CVPR 2023)
  ☆73Updated 2 years ago
• ZrrSkywalker / CaFo
  [CVPR 2023] Prompt, Generate, then Cache: Cascade of Foundation Models makes Strong Few-shot Learners
  ☆44Updated 2 years ago
• machengcheng2016 / Subspace-Prompt-Learning
  Official code for "Understanding and Mitigating Overfitting in Prompt Tuning for Vision-Language Models" (TCSVT'2023)
  ☆28Updated last year
• LightDXY / MaskCLIP
  ☆36Updated 2 years ago
• leaves162 / CLIPtrase
  cliptrase
  ☆41Updated 11 months ago
• SooLab / DDCOT
  [NeurIPS 2023]DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
  ☆44Updated last year
• YukunLi99 / AdaptSAM
  ☆21Updated 2 years ago
• UniAdapter / UniAdapter
  ☆25Updated 2 years ago
• Paranioar / UniPT
  [CVPR2024] The code of "UniPT: Universal Parallel Tuning for Transfer Learning with Efficient Parameter and Memory"
  ☆67Updated 9 months ago
• yuhangzang / UPT
  ☆58Updated 3 months ago
• mzhaoshuai / RLCF
  [ICLR 2024] Test-Time Adaptation with CLIP Reward for Zero-Shot Generalization in Vision-Language Models.
  ☆85Updated last year
• yixuan730 / DetToolChain
  Dettoolchain: A new prompting paradigm to unleash detection ability of MLLM
  ☆38Updated 10 months ago
• richard-peng-xia / HGCLIP
  [COLING'25] HGCLIP: Exploring Vision-Language Models with Graph Representations for Hierarchical Understanding
  ☆42Updated 8 months ago
• zycheiheihei / Transferable-Visual-Prompting
  [CVPR2024 Highlight] Official implementation for Transferable Visual Prompting. The paper "Exploring the Transferability of Visual Prompt…
  ☆44Updated 7 months ago
• ylingfeng / FGVP
  Official Codes for Fine-Grained Visual Prompting, NeurIPS 2023
  ☆54Updated last year
• Zi-hao-Wei / Efficient-Vision-Language-Pre-training-by-Cluster-Masking
  [CVPR 2024] Improving language-visual pretraining efficiency by perform cluster-based masking on images.
  ☆28Updated last year
• acmi-lab / CHILS
  Code and results accompanying our paper titled CHiLS: Zero-Shot Image Classification with Hierarchical Label Sets
  ☆57Updated 2 years ago
• wusize / F-LMM
  [CVPR2025] Code Release of F-LMM: Grounding Frozen Large Multimodal Models
  ☆100Updated 2 months ago
• Koorye / DePT
  [CVPR 2024] Offical implemention of the paper "DePT: Decoupled Prompt Tuning"
  ☆107Updated 2 months ago
• mlvlab / RPO
  Official Implementation of "Read-only Prompt Optimization for Vision-Language Few-shot Learning", ICCV 2023
  ☆53Updated last year
• Yushu-Li / OWTTT
  [ICCV 2023 Oral] Official repository for “On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expans…
  ☆47Updated 7 months ago
• mlvlab / DAPT
  Distribution-Aware Prompt Tuning for Vision-Language Models (ICCV 2023)
  ☆41Updated last year
• cvlab-columbia / DoubleRight
  ☆27Updated last year
• wuw2019 / R-AMT
  ☆20Updated last year