mamata-s Goto Github PK

a-journey-into-convolutional-neural-network-visualization-

A journey into Convolutional Neural Network visualization

applied-deep-learning

Applied Deep Learning

awesome-deblurring

A curated list of resources for Image and Video Deblurring

cnn-visualization

TensorFlow implementations of visualization of convolutional neural networks, such as Grad-Class Activation Mapping and guided back propagation

crc-sisr

Matlab code for Collaborative Representation Cascade for Single-Image Super-Resolution

cvip

esrgan_mri

experiments

fourier-transform

fsrnet

Demo code for our CVPR'18 paper "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (SPOTLIGHT Presentation)

fsrnet-pytorch

PyTorch implementation of "FSRNet: End-to-End Learning Face Super-Resolution with Facial Priors" (https://arxiv.org/abs/1711.10703)

ganhacks

starter from "How to Train a GAN?" at NIPS2016

gans-awesome-applications

Curated list of awesome GAN applications and demo

gen-refactor

generate_image

image-data-analysis

leetcode-patterns

A curated list of leetcode questions grouped by their common patterns

motion-correction

mri_super_resolution_v2

mri_super_resolution_v3

neural-networks-from-scratch

MLP, CNN, RNN, LSTM from scratch

python-image-processing-book

python-package-example

python_for_image_processing_apeer

https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

pytorch-examples

Simple examples to introduce PyTorch

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

pytorch-neural-style-transfer

Reconstruction of the original paper on neural style transfer (Gatys et al.). I've additionally included reconstruction scripts which allow you to reconstruct only the content or the style of the image - for better understanding of how NST works.

pytorch-styleguide

An unofficial styleguide and best practices summary for PyTorch

pytorch-super-resolution

Super Resolution of low resolution Images in PyTorch