lstm

Master thesis in Master in Big Data and Visual Analytics

Deep Recurrent Neural Nets in Java

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.

This is a c++ deep learning network implementation that runs on cpu and gpu

An LSTM network, to generate dialogues from the character's of popular T.V show F.R.I.E.N.D.S.. Example includes partially trained model that generates text like Ross Geller

A LSTM recurrent neural network implemented in pure numpy

LSTM GRU with exact backpropagation derivation and implementation

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Classifying implicit relation between two consecutive sentences using LSTM, CNN

A Tensorflow implementation of CNN-LSTM image caption generator architecture that achieves close to state-of-the-art results on the MSCOCO dataset.

Recurrent Neural Network and Long Short Term Memory (LSTM) with Connectionist Temporal Classification implemented in Theano. Includes a Toy training example.

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch. Based on code of https://github.com/karpathy/char-rnn. Support Chinese and other things.

LSTM network to model the price of stocks.

Traffic Prediction using LSTM method.

🔬 Nano size Theano LSTM module

Chinese Word Segmention Base on the Deep Learning and LSTM Neural Network

My python implementation of Multilayer Perceptron (MLP) and Long Short Term Memory (LSTM) models

This is a Tensorflow implementation of the End-to-End Memory Network applied to the Ubuntu Dialog Corpus. The model can be compared to a LSTM and a DSSM, both available within the implementation.