Mohammad Pezeshki's repositories
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.
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.
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.
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.
VAE
Example of a Variational-Autoencoder using Theano blocks
variational-autoencoders
Variational Autoencoders