a generalist algorithm for cellular segmentation with human-in-the-loop capabilities

Segment Anything for Microscopy

Cloud-based data annotation tools for biological images

NLP2025 のチュートリアル「地理情報と言語処理 実践入門」の資料とソースコード

Plain text format for Japanese law

cell graph convolutional network

法律解析を行う際に便利な関数やデータ構造を定義するリポジトリです

Open source tools for computational pathology - Nature BME

ORCA-SPOT: An Automatic Killer Whale Sound Detection Toolkit Using Deep Learning

Graph Neural Network Library for PyTorch

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Papers about explainability of GNNs

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

Ressources of histopathology datasets

Awesome things about domain generalization, including papers, code, etc.

DomainBed is a suite to test domain generalization algorithms

Official code for the CVPR23 paper: "Improved Test-Time Adaptation for Domain Generalization"

Context-Aware Survival Prediction using Patch-based Graph Convolutional Networks - MICCAI 2021

Axial Positional Embedding for Pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.

Instance-based Vision Transformer for Subtyping of Papillary Renal Cell Carcinoma in Histopathological Image-MICCAI 2021

TransMIL: Transformer based Correlated Multiple Instance Learning for Whole Slide Image Classification

cuCIM - RAPIDS GPU-accelerated image processing library