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asr_preprocessing

Python implementation of pre-processing for End-to-End speech recognition

automatic_speech_recognition_with_multi_models

(TIMIT-->mfcc-->model)A Simple Automatic Speech Recognition (ASR) Model in Tensorflow, which only needs to focus on Deep Neural Network. It's easy to test popular cells (most are LSTM and its variants) and models (unidirectioanl RNN, bidirectional RNN, ResNet and so on). Moreover, you are welcome to play with self-defined cells or models.

caffetools

ctc-speech-recognition

This is a working example of using CTC for phone recognition on TIMIT

deep-learning

deeplearning-class-2011

Code for Deep Learning class at Google

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.

kaggle_diabetic

Team o_O solution for the Kaggle Diabetic Retinopathy Detection Challenge

keras

Theano-based Deep Learning library (convnets, recurrent neural networks, and more).

machinelearning

This project contain some machine learning algrithm demo.Maybe the code is also useful to you.

neural_sp

End-to-end ASR implementation with pytorch.

nideep

collection of utilities to use with deep learning libraries (e.g. caffe)

public

pytorch-template

PyTorch deep learning projects made easy.

tensorflow

Open source software library for numerical computation using data flow graphs.

timit_tf

(TIMIT--> mfcc-->lstm)Code for phonetically classifying TIMIT using TensorFlow

timit_tools

tools around preparing TIMIT for HMM (with HTK) and deep learning (with Theano) methods