Marian ====== [![Join the chat at https://gitter.im/marian-nmt](https://badges.gitter.im/amunmt/marian.svg)](https://gitter.im/marian-nmt?utm_source=badge&utm_medium=badge&utm_campaign=pr-badge&utm_content=badge) [![Build Status](http://vali.inf.ed.ac.uk/jenkins/buildStatus/icon?job=marian-dev)](http://vali.inf.ed.ac.uk/jenkins/job/marian-dev/) [![Tests Status](http://vali.inf.ed.ac.uk/jenkins/buildStatus/icon?job=marian-regression-tests)](http://vali.inf.ed.ac.uk/jenkins/job/marian-regression-tests/) **Marian** is a C++ GPU-specific parallel automatic differentiation library with operator overloading. It is the training framework used in the Marian toolkit. This repository is the development repo of https://github.com/marian-nmt/marian, use it at your own risk. https://github.com/marian-nmt/marian is updated with stable versions of this repository. Named in honour of Marian Rejewski, a Polish mathematician and cryptologist. ## Website More information on https://marian-nmt.github.io ## Mailing lists * General google group: https://groups.google.com/forum/#!forum/marian-nmt (for users and developers) * Google group for commit messages: https://groups.google.com/forum/#!forum/marian-nmt-commits (for developers) ## Contributions See [CONTRIBUTING.md](https://github.com/marian-nmt/marian-dev/blob/master/CONTRIBUTING.md) ## Acknowledgements The development of Marian received funding from the European Union's _Horizon 2020 Research and Innovation Programme_ under grant agreements 688139 ([SUMMA](http://www.summa-project.eu); 2016-2019), 645487 ([Modern MT](http://www.modernmt.eu); 2015-2017) and 644333 ([TraMOOC](http://tramooc.eu/); 2015-2017), the Amazon Academic Research Awards program, and the World Intellectual Property Organization. This software contains source code provided by NVIDIA Corporation.