mpezeshki/tsa-rnn
Public repository.
Discovered public repositories for mpezeshki in the GitHub catalog.
Public repository.
Reimplementation of DRAW
Implementation of "Ladder Network" using Blocks and Theano.
Public repository.
A Theano framework for building and training neural networks
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning
RNN on MNIST (one pixel at a time) with Identity initialization
General experiments on Denoising Auto-Encoder in Theano.
example of using LSTM Networks to generate Monet - like paintings
Collection of useful, re-used routines.
Attempt at implementing system described in "Neural Turing Machines." by Graves, Alex, Greg Wayne, and Ivo Danihelka. (http://arxiv.org/abs/1410.5401)
A Recurrent Neural Network trained on all existing TED Talk Transcripts. The model outputs machine generated TED Talks.
Examples and scripts using Blocks
An implementation of Neural Turing Machines
Public repository.
Deep Recurrent Neural Networks and LSTMs in Javascript. More generally also arbitrary expression graphs with automatic differentiation.
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
Theano-based Deep Learning library (convnets, recurrent neural networks, and more).
Example of a Variational-Autoencoder using Theano blocks
Learn handwriting using RNN
Deep RNN
Public repository.
Theano implementation of CTC.
General experiments on Vanilla RNN and LSTM in Theano.
Theano implementation of Logistic Disjunctive Normal Networks.
A data pipeline framework for machine learning
Theano-based implementation of the efficient sparse-coding algorithms by Honglak Lee et al. (2006)
Recurrent Neural Network with Connectionist Temporal Classifical implemented in Theano. Includes a Toy training example.
A neural network lib based on theano
Topic modeling with latent Dirichlet allocation
A Machine Learning library based on Theano
Public repository.
A collection of datasets and models implemented with Blocks
Python library for audio and music analysis
General Purpose Implementation of LSTM extended from OCROPUS to recognize any sequential data
Benchmarking different LSTM libraries
A little library for text analysis with RNNs.
Material related to the IFT6266 course (winter 2015)
Kaggle Cats vs Dogs challenge for IFT6266
Theano-based Alexnet
Recurrent Neural Network for modeling sequential data implemented using Python and Theano.
Public repository.
Classical Chinese
Breze with all the stuff.
Demonstration of recurrent neural network implemented with Theano
Public repository.
Library for implementing RNNs with Theano
Public repository.
Repository for the Morphing Faces demo