Library for implementing RNNs with Theano
This library is built on top of Theano (http://deeplearning.net/software/theano/) and can be used with Jobman (http://deeplearning.net/software/jobman/). It is meant to provide a flexible yet efficient way of implementing complex recurrent models. Currently it supports variations of recurrent neural networks (such as DT-RNN, DOT-RNN, RNN Encoder-Decoder) and stacked version of them.
Most of the library documentation is still work in progress, but check the files containing Tut (in scripts) for a quick tutorial on how to use the library.
The library was developed at University of Montreal, in Lisa lab (http://lisa.iro.umontreal.ca/index_en.html). Among the main contributors are Razvan Pascanu, KyungHyun Cho and Caglar Gulcehre.
The library is under the 3-clause BSD license, so it may be used for commercial purposes.