qianjinfighter Goto Github PK
Type: User
Type: User
Applying 3D CNN for bio-medical images segmentation with 3D-Unet, Residual 3D-Unet and Recurrent Residual 3D-Unet (R2U3D) implemented in PyTorch.
A repository with a basic layer of 3D deformable receptive field for 3D VoxCNN and 3D VoxResNet
Pyramid Scene Parsing Network in 3D: improving semantic seg- mentation of point clouds with multi-scale contextual information
3DUNet implemented with pytorch
Archive for Self-supervised learning in Medical images (A4SM).
Source code of our BMVC 2021 paper: AniFormer: Data-driven 3D Animation with Transformer
Implementation of various attention mechanisms
Implementation of 3D attention mechanisms based on https://github.com/LeftAttention/Attention-Codebase. Thanks to LeftAttetnion for sharing the implementation of 2D attention mechanisms.
:metal: awesome-semantic-segmentation
Awesome_Transformer_for_medical_image_analysis
Official code for "Boundary loss for highly unbalanced segmentation", runner-up for best paper award at MIDL 2019. Extended version in MedIA, volume 67, January 2021.
BrainSurfaceTK provides a suite of tools to apply Deep Learning techniques to brain surfaces and visualise the results in an easy to use Web Application.
3d unet + vae, repoduce brats2018 winner solution
Compound loss for PyTorch
Implementation of Convolutional LSTM in PyTorch.
The PyTorch re-implement of a 3D CNN Tracker to extract coronary artery centerlines with state-of-the-art (SOTA) performance. (paper: 'Coronary artery centerline extraction in cardiac CT angiography using a CNN-based orientation classifier')
[MICCAI2021] CoTr: Efficiently Bridging CNN and Transformer for 3D Medical Image Segmentation
Repository of Vision Transformer with Deformable Attention (CVPR2022)
deep learning for image processing including classification and object-detection etc.
This repository contains implementations and illustrative code to accompany DeepMind publications
Exploring whether attention is necessary for vision transformers
A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!)
基于Golang的海量日志收集服务logCollect
【超全golang面试题合集+golang学习指南+golang知识图谱+入门成长路线】 一份涵盖大部分golang程序员所需要掌握的核心知识。常用第三方库(mysql,mq,es,redis等)+机器学习库+算法库+游戏库+开源框架+自然语言处理nlp库+网络库+视频库+微服务框架+视频教程+音频音乐库+图形图片库+物联网库+地理位置信息+嵌入式脚本库+编译器库+数据库+金融库+电子邮件库+电子书籍+分词+数据结构+设计模式+去html tag标签等+go学习+go面试+计算机网络基础+图解网络+操作系统面试题+数据库面试题+面试题合集
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.