choiyoonchang Goto Github PK

2019trd

2019 TRD(인터렉티브 미디어)

batch-normalization

Implementation of Batch Normalization Layer by Theano. Test Code with MNIST data.

book_reactex

리액트를 다루는 기술 예제

dcscn-super-resolution

A tensorflow implementation of "Fast and Accurate Image Super Resolution by Deep CNN with Skip Connection and Network in Network", a deep learning based Single-Image Super-Resolution (SISR) model.

deeplearning_tutorial

실습자료

deeply-recursive-cnn-tf

Test implementation of Deeply-Recursive Convolutional Network for Image Super-Resolution

ducks-modular-redux

A proposal for bundling reducers, action types and actions when using Redux

halide

a language for fast, portable data-parallel computation

image-super-resolution

Implementation of Super Resolution CNN in Keras.

kaggle_practice

This repository is for the Kaggle competitions

makewebapp

mystudy

neural-style

Neural style in TensorFlow! :art:

ntire2017

Torch implementation of "Enhanced Deep Residual Networks for Single Image Super-Resolution"

phone-book

리액트 기초를 다지는 주소록 프로젝트

pillow

The friendly PIL fork (Python Imaging Library)

react-video-js-player

React wrapper for VideoJS.

reactex

React 예제

real-world-machine-learning

Code accompanying the Real-World Machine Learning book

sample-code-from-deep-learning-of-everyone

모두의 딥러닝 강좌의 예제 코드들을 구현

srcnn-tensorflow

Image Super-Resolution Using Deep Convolutional Networks in Tensorflow https://arxiv.org/abs/1501.00092v3

srgan

Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network

super-resolution.benckmark

Benchmark and resources for single super-resolution algorithms

superobject

tensorflow-examples

TensorFlow Tutorial and Examples for Beginners with Latest APIs

tensorflow-ml-exercises

Learning Machine Learning with TensorFlow

tensormsa

Deep learning GUI frame work for enterprise

test

tfk-notebooks

Notebooks of TensorFlow Korea (https://tensorflowkorea.wordpress.com)

thisischoi