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Andrew Carl's Projects

rnn-benchmarks icon rnn-benchmarks

Benchmarks for several RNN variations with different deep-learning frameworks

rnn-data-gen icon rnn-data-gen

Generating data using RNNs and LSTM to balance training dataset

rnn-em icon rnn-em

Recurrent Neural Networks with External Memory

rnn-for-joint-nlu icon rnn-for-joint-nlu

Pytorch implementation of "Attention-Based Recurrent Neural Network Models for Joint Intent Detection and Slot Filling" (https://arxiv.org/abs/1609.01454)

rnn-handwriting-generation icon rnn-handwriting-generation

Handwriting generation by RNN with TensorFlow, based on "Generating Sequences With Recurrent Neural Networks" by Alex Graves

rnn-lang-model icon rnn-lang-model

Train a deep recurrent neural network LSTM character-level language model using Keras

rnn-lm icon rnn-lm

Standard Recurrent Language Model

rnn-speech icon rnn-speech

Character level speech recognizer using ctc loss with deep rnns in TensorFlow.

rnn-tutorial-rnnlm icon rnn-tutorial-rnnlm

Recurrent Neural Network Tutorial, Part 2 - Implementing a RNN in Python and Theano

rnn-vae icon rnn-vae

Variational Autoencoder with Recurrent Neural Network based on Google DeepMind's "DRAW: A Recurrent Neural Network For Image Generation"

rnn.wgan icon rnn.wgan

Code for training and evaluation of the model from "Language Generation with Recurrent Generative Adversarial Networks without Pre-training"

rnn_lstm_stock_model icon rnn_lstm_stock_model

Using recurrent neural networks with LSTM cells to predict stock prices. Takes into account twitter trends.

rnnlg icon rnnlg

RNNLG is an open source benchmark toolkit for Natural Language Generation (NLG) in spoken dialogue system application domains. It is released by Tsung-Hsien (Shawn) Wen from Cambridge Dialogue Systems Group under Apache License 2.0.

rnnlm icon rnnlm

A baseline sequence-based LM

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