Master thesis in Master in Big Data and Visual Analytics
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Updated
Sep 22, 2015 - Python
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
Classifying implicit relation between two consecutive sentences using LSTM, CNN
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.
🔬 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.
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