Ql C's repositories
ModelFeast
Pytorch model zoo for human, include all kinds of 2D CNN, 3D CNN, and CRNN
Non_Local_Net_TensorFlow
TensorFlow implementation of Non-local Neural Network
AdaptiveReconNet
Implementation of Adaptive ReconNet in Tensorflow.
nmc
Matrix Completion Using the Nonconvex Regularized Proximal Gradient Algorithm
reproducible-image-denoising-state-of-the-art
Collection of popular and reproducible image denoising works.
Non-Local_Nets-Tensorflow
An implement of Non-local neural networks for tensorflow version
keras-non-local-nets
Keras implementation of Non-local Neural Networks
matrix-completion
An ADMM + Compressed Sensing algorithm to estimate a low-rank sparse matrix
BCNN
Bayesian Convolutional Neural Networks for Compressed Sensing Restoration
CA_Entropy_Model
Repository of the paper "Context-adaptive Entropy Model for End-to-end Optimized Image Compression"
u-net
U-Net: Convolutional Networks for Biomedical Image Segmentation
D-AMP_Toolbox
This package contains the code to run Learned D-AMP, D-AMP, D-VAMP, D-prGAMP, and DnCNN algorithms. It also includes code to train Learned D-AMP, DnCNN, and Deep Image Prior U-net using the SURE loss.
CBSD68-dataset
Color BSD68 dataset for image denoising benchmarks
ISTA-Net
ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing (Tensorflow Code)
Tensor_Compressed_Sensing
The Demo of Caiafa's paper: Multidimensional compressed sensing and their applications. Because we can not open MEGA in P. R. China, the copy of matlab code is pushed to GitHub.
SVT-Algorithm
A Singular Value Thresholding Method for Matrix Completion
BGCS
Bayesian Group-sparse Compressed Sensing Toolbox (FG 2015)
nlm
Non-local means implementation (Image Processing coursework)
Compressed-sensing-1
Compressed sensing recovery methods
TNNR
This is an implementation of Truncated Nuclear Norm Regularization Method.
Distributed-Compressive-Sensing-A-Deep-Learning-Approach
Distributed Compressive Sensing: A Deep Learning Approach
Life-Long-Matrix-Completion
MATLAB code for NIPS 2016 paper "Noise-Tolerant Life-Long Matrix Completion via Adaptive Sampling"
TGV
Implements the temporal Total Generalized Variation regularization for Compressed Sensing.
image-compression-benchmarking
Image compression codecs benchmark inspired by Google's "Full Resolution Image Compression with Recurrent Neural Networks"
FOA_MC
Fast Optimization Algorithm for Matrix Completion
SRF
Smoothed rank function for matrix completion
ReconNet
ReconNet: CVPR 2016