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applicationsandenhancementsofthedeeprecurrentneuralnetworkforspeechseparation

Deep Recurrent Neural Network is used for monaural source separation and speaker recognition

audio-source-separation

This repository contains MATLAB scripts that implement some of the methods discussed in the ECESCON 8 workshop on Audio Source Separation

csnet

Reimplementation of CSNet (Deep network for compressed image sensing, ICME17)

dbpn-pytorch

The project is an official implement of our CVPR2018 paper "Deep Back-Projection Networks for Super-Resolution" (Winner of NTIRE2018 and PIRM2018)

deep-semantic-face-deblurring

Deep Semantic Face Deblurring

deeplearningsourceseparation

Deep Recurrent Neural Networks for Source Separation

deepvisualization

Visualizing Deep Neural Network by Alternately Image Blurring and Deblurring

digitrecognition

Digit recognition using deep learning (convolutional neural networks)

drnn4ass

Deep Recurrent Neural Network for Audio Source Separation

drrn_cvpr17

Code for our CVPR'17 paper "Image Super-Resolution via Deep Recursive Residual Network"

hsid-cnn

Q. Yuan, Q. Zhang, J. Li, H. Shen, and L. Zhang, "Hyperspectral Image Denoising Employing a Spatial-Spectral Deep Residual Convolutional Neural Network," IEEE TGRS, 2019.

image_deblurring

Project Course CS399 for deblurring of Image using Machine Learning

matlab-toolbox-for-dnn-based-speech-separation

This folder contains Matlab programs for a toolbox for supervised speech separation using deep neural networks (DNNs).

mebcrn

Deep learning network MEBCRN for separation of fat and water magnetic resonance images

mixed_audio_separation

Mixed audio separation. This is the code of the second project for THU 2019-2020 Winter course "Signal And System".

multichannel_nmf_audio_source_separation

nnpreimage

Code for Visualizing Deep Convolutional Neural Networks Using Natural Pre-images, IJCV 2016

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

sparsescatnet

Code implementation of paper: Deep Network Classification by Scattering and Homotopy Dictionary Learning

sts-cnn

Q. Zhang, Q. Yuan, C. Zeng, X. Li, and Y. Wei, “Missing Data Reconstruction in Remote Sensing image with a Unified Spatial-Temporal-Spectral Deep Convolutional Neural Network,” IEEE TGRS, 2018.