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bsrjy's Projects

dcgan-matconvnet icon dcgan-matconvnet

Deep Convolutional Generative Adversarial Network (DCGAN) implementation on MatConvNet (compliant to any MCN version)

dnn_irm icon dnn_irm

DNN & IRM for speech enhancement. This is modified to support multiple input SNR and noise type.

echarts icon echarts

A powerful, interactive charting and visualization library for browser

gan icon gan

Matlab implementation of a Generative Adversarial Network

lstm-matlab icon lstm-matlab

LSTM-MATLAB is Long Short-term Memory (LSTM) in MATLAB, which is meant to be succinct, illustrative and for research purpose only. It is accompanied with a paper for reference: Revisit Long Short-Term Memory: An Optimization Perspective, NIPS deep learning workshop, 2014.

mcndcgan icon mcndcgan

Deep Convolution Generative Adversarial Networks for Matconvnet Toolbox

medal icon medal

Matlab Environment for Deep Architecture Learning

mwsg_ieee_paper icon mwsg_ieee_paper

Codes for paper "Spectrogram enhancement using multiple window Savitzky Golay (MWSG) filter for robust bird sound detection" which is published in IEEE Transactions on Speech,Audio and Language Processing March 2017

ncrf icon ncrf

Cancer metastasis detection with neural conditional random field (NCRF)

r-fcn icon r-fcn

R-FCN: Object Detection via Region-based Fully Convolutional Networks

rnn-speech-denoising icon rnn-speech-denoising

Recurrent neural network training for noise reduction in robust automatic speech recognition

rnnoise icon rnnoise

Recurrent neural network for audio noise reduction

segan icon segan

Speech Enhancement Generative Adversarial Network in TensorFlow

speech-denoising icon speech-denoising

Contains all MATLAB programs related to my undergraduate thesis - Kalman Filter in Speech Enhancement

tensorlayer icon tensorlayer

TensorLayer: A Deep Learning and Reinforcement Learning Library for Researchers and Engineers.

ufldl_sparseautoencoder icon ufldl_sparseautoencoder

An unsupervised learning algorithm that applies back propagation, setting the target values to be equal to the inputs. Also, we impose a sparsity constraint on the hidden units, then the autoencoder will still discover interesting structure in the data, even if the number of hidden units is large.

visualstudiouninstaller icon visualstudiouninstaller

Visual Studio Uninstallation sometimes can be unreliable and often leave out a lot of unwanted artifacts. Visual Studio Uninstaller is designed to thoroughly and reliably remove these unwanted artifacts.

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