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awesome-rnn

Recurrent Neural Network - A curated list of resources dedicated to RNN

bayesian-optimization-with-gaussin-process

This implements Bayesian Optimization with GP for parameter tuning

bist-parser

Graph-based and Transition-based dependency parsers based on BiLSTMs

chainer-examples

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for word-level language models in Torch

cnn_sentence

CNNs for sentence classification

corenlp

Stanford CoreNLP: A Java suite of core NLP tools.

crepe

Text classification from character-level using convolutional networks

defgen2

dense_parser

DeNSe parser in Dependency Parsing as Head Selection https://arxiv.org/abs/1606.01280

dpnn

deep extensions to nn

graph-parser

GraphParser is a semantic parser which can convert natural language sentences to logical forms and graphs.

graphrnn

grid-lstm

This attempts to implement [grid lstm](http://arxiv.org/abs/1507.01526).

keras

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

keras_qa

Keras solution to the bAbI tasks using recurrent neural networks - merged as an example into Keras mainline

lstm-autoencoder

Seq2Seq LSTM Autoencoder

lstm-char-cnn

LSTM language model with CNN over characters

memnn

Memory Networks implementations

mixer

Mixed Incremental Cross-Entropy REINFORCE ICLR 2016

mlm

A comparative study of different LSTM structures

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

nips2015_vrnn

nn

nvdm

Neural variational inference document model in the paper "Neural variational inference for text processing"

oxnn

rnn

Recurrent Neural Network library for Torch7's nn

scanner

skip-thoughts

snli-attention

SNLI with word-word attention by LSTM encoder-decoder