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Implementation related to the Deep Complex Networks
Image search based on convolutional neural network feature extraction.
deep learning: theory + practice
3D convolutional neural network for MRI brain extraction
This repo provides a clean implementation of the paper "Compressive Spectral Image Reconstruction using Deep prior and Low-Rank Tensor Representation"
MICCAI18 DeepEM: Deep 3D ConvNets with EM for Weakly Supervised Pulmonary Nodule Detection
k-space deep learning for EPI ghost correction
Deep learning method for fat/water separation with spatial regularization
Modeling pedestrian and vehicular movement to determine stochastic response to anomalies.
some small codes about deep learning
For simple problem, many deep learning problem share many parts. So, all you need to implement is your own model architecture and data generator to feed your network.
Deep Learning Book Chinese Translation
Content based image retrieval using convolutional neural network and tensorflow
WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
WACV18 paper "DeepLung: Deep 3D Dual Path Nets for Automated Pulmonary Nodule Detection and Classification"
Multi-task Learning for Multi-contrast MRI Synthesis
Efficient Multi-Scale 3D Convolutional Neural Network for Brain Lesion Segmentation
This repository contains implementations and illustrative code to accompany DeepMind publications
correction of motion artefacts in fMRI using deep learning models
MRI reconstruction (e.g., QSM) using deep learning methods
DeepRED: Deep Image Prior Powered by RED
Source code for DeepResp
A Reverse Image Search Engine
A LSTM model using Risk Estimation loss function for stock trades in market
DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data.
PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models
An implement of paper Learning Deformable Kernels for Image and Video Denoising in PyTorch
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.