The code for the MaD TwinNet. Demo page:

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

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Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

Named Entity Recognition using multilayered bidirectional LSTM

The source of the IJCAI2017 paper "Modeling Trajectory with Recurrent Neural Networks"

Deep Learning based Automatic Speech Recognition with attention for the Nvidia Jetson.

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

This is an open sourced book on deep learning.

RMDL: Random Multimodel Deep Learning for Classification

Application of machine learning to the Coinbase (GDAX) orderbook

List of papers, code and experiments using deep learning for time series forecasting

The Official Deep Learning Framework for Route-based Place Recognition

PyTorch tutorial for learners

A Natural Language Toolkit for Indian Languages

The first public PyTorch implementation of Attentive Recurrent Comparators

HDLTex: Hierarchical Deep Learning for Text Classification

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Visualizing RNNs using the attention mechanism

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks