Zhengyushan

FedCross

PTN

A python (PyTorch) implementation of Polar Transform Network (PTN) method for prostate ultrasound segmentation

SCO-SSL

A python (PyTorch) implementation of Shadow-consistent Semi-supervised Learning (SCO-SSL) method for prostate ultrasound segmentation

caffe_3d_crf_rnn

Caffe with 3D CRF-RNN for medical image analysis

caffe_triple-branch_FCN

A C++ (Caffe) implementation of Triple-branch FCN for multi-organ localization in CT images

amta-net

Asymmetric Multi-Task Attention Network for Prostate Bed Segmentation in CT Images

lacl

cdc

best_AI_papers_2021

A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.

Graphormer

Graphormer is a general-purpose deep learning backbone for molecular modeling.

CLAM

Data-efficient and weakly supervised computational pathology on whole slide images - Nature Biomedical Engineering

contrastive_learning_codes

A list of Contrastive Learning Papers&Codes. Unsupervised: MoCo/SimCLR/SwAV/BYOL/SimSiam

PyContrast

PyTorch implementation of Contrastive Learning methods

moco

PyTorch implementation of MoCo: https://arxiv.org/abs/1911.05722

pytorch-loss

label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful

StainGAN

OCNet.pytorch

Please choose the openseg.pytorch project for the updated code that achieve SOTA on 6 benchmarks!

DGCNet

Pytorch implementation of BMVC 2019 paper Dual Graph Convolutional Network for Semantic Segmentation.

STAMP

Code for the KDD 2018 paper: STAMP: Short-Term Attention/Memory Priority Model for Session-based Recommendation

weiquanmao.github.io

Quanmao Wei's Home

ASAP

Program for the analysis and visualization of whole-slide images in digital pathology

WSICS

WSICS

efficient_densenet_pytorch

A memory-efficient implementation of DenseNets

Focal-Loss-implement-on-Tensorflow

The implementation of focal loss proposed on "Focal Loss for Dense Object Detection" by KM He and support for multi-label dataset.

cnn-graph-classification

A convolutional neural network for graph classification in PyTorch

diffpool

GNNPapers

Must-read papers on graph neural networks (GNN)

text_gcn

Graph Convolutional Networks for Text Classification. AAAI 2019

awesome-capsule-networks

A curated list of awesome resources related to capsule networks

caffe_3d_faster_rcnn

Caffe for 3D organ localization in CT image