OpenNMT - Open-Source Neural Machine Translation

OpenNMT is an open source ecosystem for neural machine translation and neural sequence learning.

Started in December 2016 by the Harvard NLP group and SYSTRAN, the project has since been used in several research and industry applications. It is currently maintained by SYSTRAN and Ubiqus.

OpenNMT provides implementations in 2 popular deep learning frameworks:

User-friendly and multimodal, benefiting from PyTorch ease of use.

Modular and stable, powered by the TensorFlow ecosystem.

Each implementation has its own set of unique features but shares similar goals:

Highly configurable model architectures and training procedures
Efficient model serving capabilities for use in real world applications
Extensions to allow other tasks such as text generation, tagging, summarization, image to text, and speech to text

The OpenNMT ecosystem also includes projects to cover the full NMT workflow:

Efficient inference engine for Transformer models on CPU and GPU.

Fast and customizable text tokenization library with BPE and SentencePiece support.