qmiwang Goto Github PK

2019-ncov

Novel Coronavirus (2019-nCoV) Cases, provided by JHU CSSE

2019-ncov-fit

SIR and SEIR model fitting for 2019-nCoV.

3dunet-pytorch

3DUNet implemented with pytorch

3dunetcnn

Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation

4dsurvival

Deep learning cardiac motion analysis for survival prediction

arctic-captions

asrt_speechrecognition

A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统

augmented-neural-odes

Pytorch implementation of Augmented Neural ODEs :sunflower:

awesome-neural-ode

A collection of resources regarding the interplay between ODEs, dynamical systems and neural networks

caffe-face

This branch is developed for deep face recognition

cam

Class Activation Mapping

coco

MS COCO API - http://mscoco.org/

contrastiveseg

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

coronavirus-epidemic-2019-ncov

👩🏻‍⚕️2019-nCoV estimation and forecast using statistical model; 新型冠状病毒武汉肺炎统计模型预测

dcm4chee-arc-light

DICOM Archive J2EE application

deeplabv3plus-pytorch

Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.

deeprop

deepvideoanalytics

Analyze videos & images, perform detections, index frames & detected objects, search by examples.

docker

dockerfiles in milab

dockerfiles

mxnet with ipython notebook

dockerfiles1

Compilation of Dockerfiles with automated builds enabled on the Docker Registry.

dsb17_3d_lung_nodule_classifier

3d convnet for the classification of nodules/tumor in lung CT scans. Trained on Luna16 for Kaggle's 2017 data science bowl competition (result in top 3%)

dsb2017

The solution of team 'grt123' in DSB2017

dsb3tutorial

dxy-2019-ncov-data

2019新型冠状病毒疫情时间序列数据仓库

ganhacks

starter from "How to Train a GAN?" at NIPS2016

imagecaptioning.pytorch

image captioning codebase in pytorch(finetunable cnn in branch "with_finetune";diverse beam search can be found in 'dbs' branch; self-critical training is under my self-critical.pytorch repository.)

imgs

imgs

indrnn-pytorch

pytorch implementation of Independently Recurrent Neural Networks https://arxiv.org/abs/1803.04831

label-efficient-brain-tumor-segmentation