Tuos99

OpenBioMed

qupath-extension-sam

QuPath extension for Segment Anything Model (SAM)

pathml

Tools for computational pathology

mmdetection

OpenMMLab Detection Toolbox and Benchmark

TorchSSL

A PyTorch-based library for semi-supervised learning (NeurIPS'21)

Semi-supervised-learning

A Unified Semi-Supervised Learning Codebase (NeurIPS'22)

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

UNeXt-pytorch

Official Pytorch Code base for "UNeXt: MLP-based Rapid Medical Image Segmentation Network", MICCAI 2022

hover_net

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

two-stream-pytorch

PyTorch implementation of two-stream networks for video action recognition

paper-reading

深度学习经典、新论文逐段精读

pytorch_geometric

Graph Neural Network Library for PyTorch

histocartography

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

sdpc-for-python

Python library for processing whole slide images (WSIs) in sdpc format

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

segmentation_models.pytorch

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

lagenet

The code for LAGE-Net

AttentionDeepMIL

Implementation of Attention-based Deep Multiple Instance Learning in PyTorch

CS-CO

MICCAI2021 Paper: Self-supervised visual representation learning for histopathological images

TEA-graph

First commit

DiRA

Official PyTorch Implementation for DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis - CVPR 2022

TOAD

AI-based pathology predicts origins for cancers of unknown primary - Nature

feature-reuse

MCAT

Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images - ICCV 2021

NuCLS

NuCLS: A scalable crowdsourcing, deep learning approach and dataset for nucleus classification, localization and segmentation

MariaUlvmar2020-1

HEV Finder: an automated image analysis tool to recognize and characterize changes of the vasculature in biobank lymph node samples from patients with different types of cancer and invasiveness

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

hact-net