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Name: pu.huang
Type: User
Name: pu.huang
Type: User
3D conditional GAN for medical image segmentation
3D super-resolution using Generative Adversarial Networks
3D Unet for Isointense Infant Brain Image Segmentation
A extended work of the Dense_Transformer_Networks
The implementation of 3D_DenseSeg for infant brain MRI segmentation
monocular depth estimation with conditional, generative adversarial networks
3D Unet biomedical segmentation model powered by tensorpack with fast io speed
Keras 3D U-Net Convolution Neural Network (CNN) designed for medical image segmentation
Action recognition using soft attention based deep recurrent neural networks
adaptive color deconvolution for paper "Zheng et al., CMPB, 2019"
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Awesome Medical Imaging Datasets
Classification of recurrent and non-recurrent cancer nuclei images
Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation
Convolutional 3D autoencoder
autonomous_driving repo, esp. for car trajectory prediction
A curated list of awesome computer vision resources
:metal: awesome-semantic-segmentation
Implementing Bag of Visual words approach for object classification and detection
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace and more
A simple tool for labeling object bounding boxes in images
[NIPS 2017] Toward Multimodal Image-to-Image Translation
This is an implementation of Bilinear CNN for fine grained visual recognition using TensorFlow.
Fine-grained classification of bird images from Caltech-UCSD Birds-200-2011 dataset
Code to reproduce Spatial Transformer Networks results on fine grained classification
Source code related to BoxCars publication
Brain tumor segmentation for MICCAI 2017 BraTS challenge
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.