The FAIR Sequence-to-Sequence toolkit implements a fully convolutional model for text generation. It features multi-GPU training on a single machine as well as fast beam search generation on both CPU and GPU. We provide pre-trained models for English to French and English to German translation. The toolkit is based on the following papers:
Convolutional Sequence to Sequence Learning. Jonas Gehring, Michael Auli, David Grangier, Denis Yarats, Yann N. Dauphin. ICML 2017.
A Convolutional Encoder Model for Neural Machine Translation. Jonas Gehring, Michael Auli, David Grangier, Yann N. Dauphin. ACL 2017.