https://github.com/amir22010/seq2seq

A general-purpose encoder-decoder framework for Tensorflow

https://github.com/amir22010/seq2seq

Science Score: 10.0%

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    Links to: arxiv.org
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A general-purpose encoder-decoder framework for Tensorflow

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Fork of google/seq2seq
Created about 7 years ago · Last pushed over 7 years ago

https://github.com/Amir22010/seq2seq/blob/master/

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**[READ THE DOCUMENTATION](https://google.github.io/seq2seq)**

**[CONTRIBUTING](https://google.github.io/seq2seq/contributing/)**

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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](https://3.bp.blogspot.com/-3Pbj_dvt0Vo/V-qe-Nl6P5I/AAAAAAAABQc/z0_6WtVWtvARtMk0i9_AtLeyyGyV6AI4wCLcB/s1600/nmt-model-fast.gif)

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The official code used for the [Massive Exploration of Neural Machine Translation Architectures](https://arxiv.org/abs/1703.03906) 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.

Owner

  • Name: Amir Khan
  • Login: Amir22010
  • Kind: user
  • Location: India

working on developing a state of art AI solutions mainly in computer vision, chat bots and nlp domain. building an awesome AI as a professional developer 😍.

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