Skip to content
forked from google/seq2seq

A general-purpose encoder-decoder framework for Tensorflow

License

Notifications You must be signed in to change notification settings

zhengwsh/seq2seq

 
 

Repository files navigation

CircleCI


READ THE DOCUMENTATION

CONTRIBUTING


A general-purpose encoder-decoder framework for Tensorflow that can be used for Machine Translation, Text Summarization, Conversational Modeling, Image Captioning, and more.

Translation Model


The official code used for the Massive Exploration of Neural Machine Translation Architectures paper.

If you use this code for academic purposes, please cite it as:

@ARTICLE{Britz:2017,
  author          = {{Britz}, Denny and {Goldie}, Anna and {Luong}, Thang and {Le}, Quoc},
  title           = "{Massive Exploration of Neural Machine Translation Architectures}",
  journal         = {ArXiv e-prints},
  archivePrefix   = "arXiv",
  eprinttype      = {arxiv},
  eprint          = {1703.03906},
  primaryClass    = "cs.CL",
  keywords        = {Computer Science - Computation and Language},
  year            = 2017,
  month           = mar,
}

This is not an official Google product.

About

A general-purpose encoder-decoder framework for Tensorflow

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages

  • Python 94.5%
  • Shell 3.1%
  • Perl 1.2%
  • Other 1.2%