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[update]: README

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  # Seq2seq + Attention
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  [![colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/msarmi9/dlxp/blob/master/colab/seq2seq.ipynb)
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- [![colab](https://img.shields.io/badge/🤗-Open%20in%20Spaces-blue)](https://huggingface.co/spaces/msarmi9/multi30k)
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  Pytorch implementation of [Neural Machine Translation by Jointly Learning to Align and Translate](https://arxiv.org/abs/1409.0473). Trained on the [Multi30k-de-en](http://www.statmt.org/wmt16/multimodal-task.html#task1) dataset.
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  ![attention-heatmap](attention-heatmap.png)
 
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  # Seq2seq + Attention
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  [![colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/msarmi9/dlxp/blob/master/colab/seq2seq.ipynb)
 
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  Pytorch implementation of [Neural Machine Translation by Jointly Learning to Align and Translate](https://arxiv.org/abs/1409.0473). Trained on the [Multi30k-de-en](http://www.statmt.org/wmt16/multimodal-task.html#task1) dataset.
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+ Here's the attention heatmap of a random sample from the test set:
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  ![attention-heatmap](attention-heatmap.png)