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Visual Blocks for ML is a Google visual programming framework that lets you create ML pipelines in a no-code graph editor. You – and your users – can quickly prototype workflows by connecting drag-…
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
Few-Shot Learning for Annotation-Efficient Nucleus Instance Segmentation
A full spaCy pipeline and models for scientific/biomedical documents.
Exploring Unsupervised Cell Recognition with Prior Self-activation Maps (MICCAI 2023)
The official implementation of TPA: Tensor ProducT ATTenTion Transformer (T6) (https://arxiv.org/abs/2501.06425)
[CIBM'24] Segment Anything Model for Medical Image Segmentation: Open-Source Project Summary
Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)
The official implementation code for Plug-and-Play PPO: An Adaptive Point Prompt Optimizer Making SAM Greater.
Customize your Zotero workflow.
Prompt Learning for Vision-Language Models (IJCV'22, CVPR'22)
A PyTorch toolbox for domain generalization, domain adaptation and semi-supervised learning.
Weakly supervised nuclei segmentation using mixed points and masks annotation
System for Medical Concept Extraction and Linking
[CVPR'25] Official Implementations for Paper - MagicQuill: An Intelligent Interactive Image Editing System
LLaVA-CoT, a visual language model capable of spontaneous, systematic reasoning
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
Official implementation of "AttriPrompter: Auto-Prompting with Attribute Semantics for Zero-shot Nuclei Detection via Visual-Language Pre-trained Models".
Make Zotero's citation in Word easier and clearer.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Restore-RWKV: Efficient and Effective Medical Image Restoration with RWKV
Pathology Foundation Model - Nature Medicine
Vision-Language Pathology Foundation Model - Nature Medicine