Char RNN Language Model based on Tensorflow
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Updated
May 25, 2016 - Python
Char RNN Language Model based on Tensorflow
Yet Another implementation of Recurrent Neural Networks (self-contained, numpy)
LSTMs are useful for building character-sequential prediction models. In this project, string scoring models were built using LSTMs and a language detector was built upon them.
basic text classification with RNNs & CNNs
Recurrent Neural Network to generate Simpsons TV scripts.
Rnn (vanial, GRU and LSTM) from scratch
A model based in Tensorflow to recognize words from the 30 word Speech Commands Dataset from Google using LSTM based Recurrent Neural Network.
Bachelor Project: Training a hierarchical RNN Network to infer navigation in a dynamic scenario
Deep Recurrent Attention Writer (DRAW) on Bird Photos
Using the book Anna Karenina by Leo Tolstoy as a training source for text generation using RNN and LSTM
Piano music generation with RNN with Tensorflow
Repository containing the winning submission for the BioCreative VI Task A (2017). The model is a Hierarchical Bidirectional Attention-Based RNN, implemented in Keras.
Code to scrape data and create a trap music generator using LSTM RNN
Distributed tensorflow port for character rnn
TensorFlow implementations of several deep learning models (e.g. variational autoencoder, RNN, ...)
Consulting Project with Manifold.co: Modeling System Resource Usage for Predictive Scheduling
EntNet
A RNN-powered context-free chatbot hosted by a NodeJS server.
Recurrent LSTM predictor that categorizes sentences as being related to 'hardware' or 'software'.
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