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A resource repository for 3D machine learning
A baseline 3D U-Net implementation that follows the architecture of Cicek et al. as close as possible, implemented in TF2/keras
Advanced Normalization Tools (ANTs)
Bachelor thesis project. A DICOM Viewer written in C++, QT and VTK.
3D computer vision incuding SLAM,VSALM,Deep Learning,Structured light,Stereo,Three-dimensional reconstruction,Computer vision,Machine Learning and so on
:books: List of awesome university courses for learning Computer Science!
Awesome GAN for Medical Imaging
:sunglasses: Curated list of awesome software for numerical analysis and scientific computing
科研工作专用ChatGPT拓展,特别优化学术Paper润色体验,支持自定义快捷按钮,支持markdown表格显示,Tex公式双显示,代码显示功能完善,新增本地Python工程剖析功能/自我剖析功能
Cardiac Image Multi-Atlas Segmentation pipeline (CIMAS)
Companion repository for "Knowledge Transfer and Transfer Learning for Cardiac Image Segmentation"
Learning Convolutional Neural Networks with Interactive Visualization.
Domain-adversarial learning for cine cardiac MR segmentation
deep learning for image processing including classification and object-detection etc.
A collection of various deep learning architectures, models, and tips
Code for Densely Connected Convolutional Networks (DenseNets)
EchoNet-Dynamic is a deep learning model for assessing cardiac function in echocardiogram videos.
Evaluation of cardiac MRI predictions with given metrics
Matlab toolbox for Geometry Processing.
Lab Materials for MIT 6.S191: Introduction to Deep Learning
EchoNet-Labs is a set of model for estimating common biomarkers (BNP, Troponin I, BUN, Hgb, etc) from A4c echocardiogram videos.
Adapted version of the Laplace–Dirichlet Rule-Based (LDRB) algorithm for generating ventricular fibers
Multi-Atlas - Segmentation Of Cardiac Regions And Total Ifarct Scar (MA-SOCRATIS) is an unsupervised automatic pipeline that is capable of segmenting ventricular myocardium and scar from late gadolinium enhanced MR images (LGE-MRI) of left ventricle
Code Repository for Machine Learning with PyTorch and Scikit-Learn
Collection of useful machine learning codes and snippets (originally intended for my personal use)
:spider_web: input/output for many mesh formats
Machine learning metrics for distributed, scalable PyTorch applications.
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.