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Starred repositories
A non-exhaustive and in-progress list of people and resources in Accessibility and Data Visualization
Magentic-Marketplace: Simulate Agentic Markets and See How They Evolve
MedVLSynther: Synthesizing High-Quality Visual Question Answering from Medical Documents with Generator-Verifier LMMs
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
Official electron build of draw.io
An agentic runtime that enables secure, extensible and configurable AI automation from any model
Making tool usage easy using utcp
OH - Open Hospital is a free and open-source Electronic Health Record (EHR) software application. This repository is used to build its releases.
[CVPR 2025] RelationField: Relate Anything in Radiance Fields
[CVPR 2018 NTIRE Workshop] Cycle-Dehaze: Enhanced CycleGAN for Single Image Dehazing
Official repository of FetalCLIP: A Visual-Language Foundation Model for Fetal Ultrasound Image Analysis
[ICLR'25] MMed-RAG: Versatile Multimodal RAG System for Medical Vision Language Models
[CVPR 2025] Augmenting Multimodal LLMs with Self-Reflective Tokens for Knowledge-based Visual Question Answering
Medical SAM 2: Segment 3D Medical Images Via Segment Anything Model 2
An up-to-date platform listing all the hackathons happening across Europe
[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". A…
CogView4, CogView3-Plus and CogView3(ECCV 2024)
[CVPR 2024] Official PyTorch implementation of FreeCustom: Tuning-Free Customized Image Generation for Multi-Concept Composition
[ICLR & NeurIPS 2025] Repository for Show-o series, One Single Transformer to Unify Multimodal Understanding and Generation.
A collection of resources on applications of multi-modal learning in medical imaging.
Official code for the Paper "RaDialog: A Large Vision-Language Model for Radiology Report Generation and Conversational Assistance"
[ICLR 2025] HQ-Edit: A High-Quality and High-Coverage Dataset for General Image Editing