RoffyS/MarkEverythingDown
quality grade D, 44 out of 100Convert files (PDF, image, Word, PPT, Excel, notebooks, code snippets) to markdown using powerful multimodal LLM
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Vision-language models, document understanding and any-to-any architectures.
Signals: multimodal, vision-language-model, vlm, clip, multimodal-llm, visual-question-answering, document-understanding, image-captioning
340 results
Convert files (PDF, image, Word, PPT, Excel, notebooks, code snippets) to markdown using powerful multimodal LLM
(CVPR2024)A benchmark for evaluating Multimodal LLMs using multiple-choice questions.
HPT - Open Multimodal LLMs from HyperGAI
Medical Multimodal LLMs
[ICLR 2025] Official implementation of "DiffSplat: Repurposing Image Diffusion Models for Scalable 3D Gaussian Splat Generation".
Reading notes about Multimodal Large Language Models, Large Language Models, and Diffusion Models
Connecting openFrameworks to Google MediaPipe Machine Learning Framework over UDP
[ECCV 2024 Oral] Code for paper: An Image is Worth 1/2 Tokens After Layer 2: Plug-and-Play Inference Acceleration for Large Vision-Language Models
[NeurIPS 2025] OmniSVG is the first family of end-to-end multimodal SVG generators that leverage pre-trained Vision-Language Models (VLMs), capable of generating complex and detailed SVGs, from simple icons to intricate anime characters.
The official repository for ArGue: Attribute-Guided Prompt Tuning For Vision-Language Models (CVPR 2024)
Official implementation for "CLIP-ReID: Exploiting Vision-Language Model for Image Re-identification without Concrete Text Labels" (AAAI 2023)
Coding a Multimodal (Vision) Language Model from scratch in PyTorch with full explanation: https://www.youtube.com/watch?v=vAmKB7iPkWw
【ICML 2025 Spotlight】 Official Repo for Paper ‘’HealthGPT : A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation‘’
VILA is a family of state-of-the-art vision language models (VLMs) for diverse multimodal AI tasks across the edge, data center, and cloud.
Kimi-VL: Mixture-of-Experts Vision-Language Model for Multimodal Reasoning, Long-Context Understanding, and Strong Agent Capabilities
GPT4Scene: Understand 3D Scenes from Videos with Vision-Language Models
[BIONLP@ACL 2024] XrayGPT: Chest Radiographs Summarization using Medical Vision-Language Models.
[ECCV 2024] Official code implementation of Vary: Scaling Up the Vision Vocabulary of Large Vision Language Models.
[AAAI 2024 Oral] AnomalyGPT: Detecting Industrial Anomalies Using Large Vision-Language Models
Code for the Molmo2 Vision-Language Model
Code for the Molmo Vision-Language Model
This repo lists relevant papers summarized in our survey paper: A Systematic Survey of Prompt Engineering on Vision-Language Foundation Models.
DeepSeek-VL2: Mixture-of-Experts Vision-Language Models for Advanced Multimodal Understanding
tiny vision language model
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