Multi-layer Recurrent Neural Networks (LSTM, GRU) for character-level and word-level language models in Python using Tensorflow
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Updated
Sep 9, 2016 - Python
Multi-layer Recurrent Neural Networks (LSTM, GRU) for character-level and word-level language models in Python using Tensorflow
DLND project no 3 Introduction In this project, you'll generate your own Simpsons TV scripts using RNNs. You'll be using part of the Simpsons dataset of scripts from 27 seasons. The Neural Network I'll build will generate a new TV script for a scene at Moe's Tavern.
The first AI-based Arabic songwriter.
Exploring Botnet Detection with Machine Learning
Sentiment analysis using a recurrent neural network
Language translation using sequence to sequence technique from deep learning
4th Project: Udacity Deep Learning Nanodegree. Language Translation Project
A character-level RNN implementation in Tensorflow
Easily Transfer TensorFlow 0.12 RNN Model File to TensorFlow 1.0.
Kaggle competition (mar 2017- jun 2017) - Intel & MobileODT Cervical Cancer Screening
Smart Shuffle for iTunes
Building a Character-wise RNN with TensorFlow
Generating Music and Lyrics using Deep Learning via Long Short-Term Recurrent Networks (LSTMs). Implements a Char-RNN in Python using TensorFlow.
Language Modeling with RNN using TensorFlow
Chinese Poetry Generation
Simple music generation rnn. Update/Built untop of MattVitelli/GRUV and unnati-xyz/music-generation
Presentation about Recurrent Neural Networks for Seoul AI Meetup on August 5, 2017.
Contains the problem set solutions from Stanford's cs224d during self study of that course
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