mpezeshki

Recurrent-Neural-Networks

Recurrent Neural Network for modeling sequential data implemented using Python and Theano.

CTC-Connectionist-Temporal-Classification

Theano implementation of CTC.

RNN_Experiments

General experiments on Vanilla RNN and LSTM in Theano.

LSTM-Attention

LSTM-Attention

Identity_RNN

RNN on MNIST (one pixel at a time) with Identity initialization

ladder_network

Implementation of "Ladder Network" using Blocks and Theano.

draw

Reimplementation of DRAW

keras-GAN

Generative Adversarial Networks with Keras

ladder

Ladder network is a deep learning algorithm that combines supervised and unsupervised learning

ofxTSNE

t-SNE dimensionality reduction technique for openFrameworks

Atari

A deep learning model for playing Atari games.

blocks

A Theano framework for building and training neural networks

blocks-examples

Examples and scripts using Blocks

ctc

Numpy and Theano bindings for Baidu's warp-ctc

DAE_Experiments

General experiments on Denoising Auto-Encoder in Theano.

day5-ladder

General_Deep_Q_RL

General deep Q learning framework

keras

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

keras_monet

example of using LSTM Networks to generate Monet - like paintings

ntm

An implementation of Neural Turing Machines

recurrentjs

Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.

rna

sketch

Learn handwriting using RNN

TED-RNN

A Recurrent Neural Network trained on all existing TED Talk Transcripts. The model outputs machine generated TED Talks.

tensorflow

Open source software library for numerical computation using data flow graphs.

theano_toolkit

Collection of useful, re-used routines.

torch-gan

tsa-rnn

VAE

Example of a Variational-Autoencoder using Theano blocks

variational-autoencoders

Variational Autoencoders