gjlper

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

CBDNet

Code for "Toward Convolutional Blind Denoising of Real Photographs"

PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

pytorch-CycleGAN-and-pix2pix

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

Unpaired-GANCS

This code implements the recovery of image x from the undersampled measurements y when the pair (x,y) is not avaialble for training. However, we know the images, say \tilde{x}, from another relevant image dataset that can guide us to recover the ground-truth x from y. This is important for medical imaging applications where usually one doesn't have access to high-resolution datastes for all organs.

CSET

CSET (Compressed Sensing Electron Tomography)-toolbox is a three-dimensional TV-based compressed sensing reconstruction toolbox that consists of algebraic iterative algorithms (SART and SIRT) with total variation (TV) based CS. In addition, it integrates a Fast Iterative Shrinkage-Thresholding Algorithm (FISTA) that is an acceleration method to speed up the algorithm convergence.

pytorch-in-action

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

DnCNN-PyTorch

PyTorch implementation of the TIP2017 paper "Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising"

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

darknet

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

awesome-gan-for-medical-imaging

Awesome GAN for Medical Imaging

RefineGAN

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

Awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

leetcode

LeetCode in pure C

TinySTL

TinySTL is a subset of STL(cut some containers and algorithms) and also a superset of STL(add some other containers and algorithms)

Bayesian-Adversarial-Learning

cnn-for-voice-antispoofing

CNNs for voice antispoofing detection

noise2noise

An unofficial and partial Keras implementation of "Noise2Noise: Learning Image Restoration without Clean Data"

nips17-adversarial-attack

Submission to Kaggle NIPS'17 competition on adversarial examples (non-targeted adversarial attack track)

awesome-deep-learning-papers

The most cited deep learning papers

pics

parallel imaging and compressed sensing recon

TWSC-ECCV2018

Matlab Code for "A Trilateral Weighted Sparse Coding Scheme for Real-World Image Denoising, ECCV 2018".

mri-analysis-pytorch

MRI analysis using PyTorch and MedicalTorch

SIFT

Python Jupyter Notebook to use SIFT technique for object detection

MWCNN

Multi-level Wavelet-CNN for Image Restoration

eesen

The official repository of the Eesen project

PassGAN

A Deep Learning Approach for Password Guessing (https://arxiv.org/abs/1709.00440)