qunlin-chen Goto Github PK

keras-non-local-nets

Keras implementation of Non-local Neural Networks

kpca

Kernel PCA and Pre-Image Reconstruction

learning-based-image-video-compression

Recent papers and codes related to deep learning-based image/video compression. Mainly focus on top venues of machine learning / neural network community.

life-long-matrix-completion

MATLAB code for NIPS 2016 paper "Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling"

lihang_book_algorithm

致力于将李航博士《统计学习方法》一书中所有算法实现一遍

low-rank-matrix-completion

Matlab

machine-learning-session

matrix-completion

An ADMM + Compressed Sensing algorithm to estimate a low-rank sparse matrix

modelfeast

Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN

mr-amp

Multi-resolution approximate message passing algorithm for multi-resolution compressed sensing problem

ms-dcsnet-release

Multi-Scale Deep Compressive Sensing Network, IEEE Inter. Conf. Visual Comm. Image Process. (VCIP), 2018

mwcnn

Multi-level Wavelet-CNN for Image Restoration

nlm

Non-local means implementation (Image Processing coursework)

nlrn_v0

Code of Non-Local Recurrent Network for Image Restoration (NeurIPS 2018)

nmc

Matrix Completion Using the Nonconvex Regularized Proximal Gradient Algorithm

non-local-neural-networks-pytorch

This is a pytorch version for Non-local Neural Networks(onging)

non-local-nn-pytorch

Pyorch implementation of Non-Local Neural Networks (https://arxiv.org/pdf/1711.07971.pdf)

non-local_nets-tensorflow

An implement of Non-local neural networks for tensorflow version

non-local_pytorch

Implementation of Non-local Block.

non_local_net_tensorflow

TensorFlow implementation of Non-local Neural Network

perceptual-cs

Code for papers "Perceptual Compressive Sensing" at PRCV 2018 and "Fully Convolutional Measurement Network for Compressive Sensing Image Reconstruction" at Neurocomputing 2019.

pwls-cscgr

Convolutional Sparse Coding for Compressed Sensing CT Reconstruction

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

reconnet

ReconNet: CVPR 2016

reinforcement-learning-with-tensorflow

Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学

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

Collection of popular and reproducible image denoising works.

rnan

PyTorch code for our ICLR 2019 paper "Residual Non-local Attention Networks for Image Restoration"

self-attention

simple implements Non-Local Neural Networks for image classification(Fashion-Mnist)

shift-net

Shift-Net: Image Inpainting via Deep Feature Rearrangement (ECCV, 2018)

srf

Smoothed rank function for matrix completion