Guoguohh

Guoguohh's Stars

• d2l-ai/d2l-zh

  《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

  Language:Python64.4k1.1k011.1k

• CSSEGISandData/COVID-19

  Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE

  29.1k8653.8k18.4k

• pyg-team/pytorch_geometric

  Graph Neural Network Library for PyTorch

  Language:Python21.6k2543.6k3.7k

• nndl/nndl.github.io

  《神经网络与深度学习》 邱锡鹏著 Neural Network and Deep Learning

  Language:HTML17.5k7546283.6k

• NVIDIA/DeepLearningExamples

  State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

  Language:Jupyter Notebook13.7k2968483.2k

• nndl/exercise

  exercise for nndl

  Language:Jupyter Notebook3.2k131131.4k

• jaredleekatzman/DeepSurv

  DeepSurv is a deep learning approach to survival analysis.

  Language:Jupyter Notebook5942984174

• nndl/nndl-exercise-ans

  Solutions for nndl/exercise

  Language:Jupyter Notebook1107145

• pykao/BraTS2018-tumor-segmentation

  We provide DeepMedic and 3D UNet in pytorch for brain tumore segmentation. We also integrate location information with DeepMedic and 3D UNet by adding additional brain parcellation with original MR images.

  Language:Python1095622

• imdevskp/covid_19_jhu_data_web_scrap_and_cleaning

  This repository contains data and code used to get and clean data from https://github.com/CSSEGISandData/COVID-19 and https://www.worldometers.info/coronavirus/

  Language:Jupyter Notebook9713492

• junqiangchen/BraTS18-Challege

  Multimodal Brain Tumor Segmentation Challenge 2018

  Language:Python517612

• as791/Multimodal-Brain-Tumor-Segmentation

  Multimodal Brain Tumor Segmentation using BraTS 2018 Dataset.

  Language:Jupyter Notebook474317

• SartajBhuvaji/Brain-Tumor-Classification-DataSet

  This repository is part of the Brain Tumor Classification Project. The repo contains the unaugmented dataset used for the project

  434236

• farazahmeds/Classification-of-brain-tumor-using-Spatiotemporal-models

  Classification of brain tumor in MR images using deep spatiospatial models.

  Language:Python24012

• leukaemiamedtech/ALL-IDB-Classifiers

  Classifiers created with Tensorflow 2 and using Fabio Scotti's ALL-IDB (Acute Lymphoblastic Leukemia Image Database for Image Processing) dataset.

  Language:Python16429

• FBehrad/Evo_conv

  Code of the paper "Evolutionary convolutional neural network for efficient brain tumor segmentation and overall survival prediction

  Language:Python5211

• TUAT-Novice/maprotonet

  The official implementation of the interpretable MRI model MAProtoNet

  Language:Jupyter Notebook5

• crackvr/ALL-IDB

  Acute Lymphoblastic Leukemia Image Database for Image Processing Department of Information Technology - Università degli Studi di Milano

  40

• sunyoung98/Brain_Tumor_Detection_XAI

  Explainability of Deep Neural Networks for Brain Tumor Detection

  Language:Jupyter Notebook410

• kbenahmed89/Glioma-Survival-Prediction

  Ensembles of Convolutional Neural Networks for Survival Time Estimation of High-grade Glioma Patients from Multimodal MRI

  Language:Python21

• shahariar-shibli/Explainable-Cost-Sensitive-Deep-Neural-Networks-for-Brain-Tumor-Detection-from-Brain-MRI-Images

  Paper under review on "Multimedia Tools and Applications" journal.

  Language:Jupyter Notebook2102

• Walle1493/nndl-qiu

  神经网络与深度学习（复旦邱锡鹏）理论学习加代码实现

  2101