shuai.nie's repositories
ARSN
The result examples from 'Joint Optimization of Recurrent Networks Exploiting Source Auto-regression for Source Separation'
attention-lvcsr
End-to-End Attention-Based Large Vocabulary Speech Recognition
Auralisation
Auralisation of learned features in CNN (for audio)
backgroundModeling
Background subtraction - Joint domain range modeling code
CNTK
Computational Network Toolkit (CNTK)
crnn
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
CTC-LSTM
Theano implementation of CTC. Applied on TIMIT and a Toy dataset.
DeepLearning
Deep Learning (Python, C/C++, Java)
deeplearningcode
there are some projects about deep learning
DeepLearnToolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
deepnet
Implementation of some deep learning algorithms.
KITTI_SSD
SSD detection for KITTI
MemNN
Memory Networks implementations
mxnet
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Go, and more
mxnet-memonger
Sublinear memory optimization for deep learning, reduce GPU memory cost to train deeper nets
nmf-cuda
A CUDA implementation of non-negative matrix factorization for GPUs.
NN-Dropout
This code is for training feedforward neural networks with dropout.
rnn-speech-denoising
Recurrent neural network training for noise reduction in robust automatic speech recognition
scrapy_example
This repository store some example to learn scrapy better
seq2seq-attn
Sequence-to-sequence model with LSTM encoder/decoders and attention
seshat
Handwritten math expression parser
simple-neural-networks
Simple Neural Networks
StitcHD
Texas A&M CSCE 483 Senior Design Project. In association with NASA's CHI group.
tnarihi-caffe-helper
For my own use BVLC/caffe helper tools
WhatsThis-iOS
MXNet WhatThis Example for iOS