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Name: Jeffrey Yeo
Type: User
Bio: developer
Location: Gyeonggi-do, Korea
Name: Jeffrey Yeo
Type: User
Bio: developer
Location: Gyeonggi-do, Korea
A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch
PyTorch implementation of Deep Convolution Networks for Compression Artifacts Reduction (ICCV 2015)
Datascience-Interview-Questions for Korean
Deep Learning Examples
PyTorch implementation of Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP 2017)
:scream: A dark theme for all the things!
PyTorch implementation of Image Super-Resolution via Deep Recursive Residual Network (CVPR 2017)
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
PyTorch implementation of Real-Time Single Image and Video Super-Resolution Using an Efficient Sub-Pixel Convolutional Neural Network (CVPR 2016)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
PyTorch implementation of Accelerating the Super-Resolution Convolutional Neural Network (ECCV 2016)
PyTorch Implementation of Fast and Accurate Single Image Super-Resolution via Information Distillation Network (CVPR 2018)
Program the Pebble with simply JavaScript
Tensors and Dynamic neural networks in Python with strong GPU acceleration
PyTorch Tutorial for Deep Learning Researchers
PyTorch implementation of Image Super-Resolution Using Very Deep Residual Channel Attention Networks (ECCV 2018)
PyTorch implementation of Residual Dense Network for Image Super-Resolution (CVPR 2018)
PyTorch Implementation of image Restoration Using Very Deep Convolutional Encoder-Decoder Networks with Symmetric Skip Connections (NIPS 2016)
PyTorch implementation of S-Net: A Scalable Convolutional Neural Network for JPEG Compression Artifact Reduction (2018)
PyTorch implementation of Image Super-Resolution Using Deep Convolutional Networks (ECCV 2014)
PyTorch implementation of Image Super-Resolution Using Dense Skip Connections (ICCV 2017)
PyTorch implementation of Wide Activation for Efficient and Accurate Image Super-Resolution (CVPR Workshop 2018)
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.