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Name: yan
Type: User
Name: yan
Type: User
3D super-resolution using Generative Adversarial Networks
The codes of VAE-GAN model for 3d shape reconstruction from depth data
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
Clustered/Stacked Filled Bar Graph Generator
[NIPS 2017] Toward Multimodal Image-to-Image Translation
Chainer implementation of recent GAN variants
3D image classification using CNN (Convolutional Neural Network)
Train CPPNs as a Generative Model, using Generative Adversarial Networks and Variational Autoencoder techniques to produce high resolution images.
An implementation of BRAIN MRI SUPER RESOLUTION USING 3D DEEP DENSELY CONNECTED NEURAL NETWORKS
Codes for 3D Deconvolution of Microscopy Images
Image restoration with neural networks but without learning.
DualGAN-tensorflow: tensorflow implementation of DualGAN
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Find ellipsoid fit for arbitrary data with python/numpy, plot it or write to file.
GPU accelerated source code for motion compensation of multi-stack MRI data
Various GANs for playing around
Conditioning of three-dimensional geological and pore scale generative adversarial networks
Project Report and Documentation
Keras implementations of Generative Adversarial Networks.
ImageJ plugins for 3D processing and analysis
Library for performing multiphase simulations (based on the Shan-Chen model) in complicated geometries (i.e. porous media 3D images)
MRI Super Resolution with a Deep 3D Resnet Variant using Perceptual Loss
Generative Adversarial Network for single image super-resolution in high content screening microscopy images
Permeability prediction of complex porous materials by conjugating generative adversarial and convolutional neural networks
A hit and go photo restoration pipeline
The program allows segmentation of void space in porous materials into pores and throats and computation of geodesic distances
Reconstruction of three-dimensional porous media using generative adversarial neural networks
A porous multiphase toolbox for OpenFOAM
Collection of Super-Resolution models via 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.