Library for implementing RNNs with Theano
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This library is build on top of Theano ( and can be used with Jobman ( It is meant to provide a flexible yet efficient way of implementing complex recurrent models. Currently is supports variations of recurrent neural networks (such as DT-RNN or DOT-RNN) 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 (\_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.