Sequence to Sequence RNN LSTM model with variational autoencoding in torch. Extension of Wojzaremba's LSTM/LM code (github.com/wojzaremba/lstm). Built based on the following:

• 'Sequence to Sequence Learning with Neural Networks' (Sutskever, et al. 2014)
• 'Stochastic Gradient Variational Bayes' (Kingma and Welling, 2014)
• github.com/wojzaremba/lstm

Applications include sentence embeddings and machine translation. Stochastic gradient variational bayes is work in progress and currently only implemented for the autoencoding setting.