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A general-purpose encoder-decoder framework for Tensorflow. Seq2seq最初是为机器翻译而编写的,但后来被开发用于各种其他任务,包括摘要、会话建模和图像字幕。只要一个问题能够以一种格式编码输入并解码成另一种格式输出,就可以使用这个框架。它是用Python中流行的Tensorflow库编写的。

Home Page: https://google.github.io/seq2seq/

License: Apache License 2.0

Shell 2.61% Python 94.76% CSS 0.22% JavaScript 1.10% Perl 1.31%

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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


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

@article{COMING SOON}

This is not an official Google product.

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