ehumss Goto Github PK

msrn_pytorch

This repository is a PyTorch version of the paper "Multi-scale Residual Network for Image Super-Resolution".

neural-enhance

Super Resolution for images using deep learning.

neural-style

Torch implementation of neural style algorithm

ntire2017

numerical-tours

Numerical Tours of Signal Processing

opticaldigits

Uses Machine Learning algorithms such as Nearest Neighbour, SVM to predict the digit represented on the image

optimization

Solution of classic discrete optimization problems

photo-realistic-super-resoluton

Torch Implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

pix2pix

Image-to-image translation with conditional adversarial nets

pixel-cnn

Python3 / Tensorflow implementation of PixelCNN++, as described in "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

pixel-recursive-super-resolution

Tensorflow implementation of pixel-recursive-super-resolution(Google Brain paper: https://arxiv.org/abs/1702.00783)

python-jupyter-for-gis

Python Jupyter for GIS

pytorch-actorcriticrl

PyTorch implementation of DDPG algorithm for continuous action reinforcement learning problem.

pytorch-cyclegan-and-pix2pix

Image-to-image translation in PyTorch (e.g. horse2zebra, edges2cats, and more)

pytorch-generative-adversarial-networks

A very simple generative adversarial network (GAN) in PyTorch

pytorch-reinforce

PyTorch Implementation of REINFORCE for both discrete & continuous control

pytorch-srgan

PyTorch version of the paper: "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network"

pytorch-super-resolution-model-collection

Collection of Super-Resolution models via PyTorch

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

pytorch-vdsr

VDSR (CVPR2016) pytorch implementation

pytorch-zssr

PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning

pytorch_challenge

pytorch_classifiers

Almost any Image classification problem using pytorch

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

reinforcement-learning-introduction

Code from my blog post & online course

resnet-cppn-gan-tensorflow

Using Residual Generative Adversarial Networks and Variational Auto-encoder techniques to produce high resolution images.

roboschool

Open-source software for robot simulation, integrated with OpenAI Gym.

sardocker

Source files for Docker image mort/sardocker/

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

scn_matlab

Matlab reimplementation of SCNSR