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real-time network architecture for mobile devices and semantic segmentation
This is an official release of the RedNet architecture.
Using WinML in custom video effect in UWP. Portrait segmentation demo
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
Semantic Segmentation Suite in TensorFlow. Implement, train, and test new Semantic Segmentation models easily!
SESR: Single Image Super Resolution with Recursive Squeeze and Excitation Networks
Arbitrary object tracking at 50-100 FPS with Fully Convolutional Siamese networks.
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
A PyTorch implementation of SRGAN based on CVPR 2017 paper "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"
Unofficial pyTorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
Apply Waseerstein GAN into SRGAN, a deep learning super resolution model
An Effective Single-Image Super-Resolution Model Using Squeeze-and-Excitation Networks ICONIP‘18
STEAL - Learning Semantic Boundaries from Noisy Annotations
PyTorch Implementation of Stacked U-Nets (SUNets)
My implementaion of super-resolution based on dual-path networks. It can be used directly to reconstruct your low-resolution image to high-resolution. Also, you can use your dataset to train your networks
Pytorch Implemenation of a SRGAN with regularization loss to stabilize GAN training. Work presented at the Japanese conference MIRU.
Code for our MIDL 2019 talk https://openreview.net/forum?id=S1gTA5VggE
Tensorflow implementation of swiftnet
Temporally Distributed Networks for Fast Video Semantic Segmentation
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
A high level library on top of machine learning frameworks
Understanding Convolution for Semantic Segmentation
Official PyTorch implementation of "Unsupervised Microvascular Image Segmentation Using an Active Contours Mimicking Neural Network"
A collection of state-of-the-art video or single-image super-resolution architectures, reimplemented in tensorflow.
PyTorch on Super Resolution
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.