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I replicate and make the original Seq2Seq from PyTorch tutorials to be easy to use and adapt.

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Name		Name	Last commit message	Last commit date
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.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
data_loader.py		data_loader.py
main.py		main.py
models.py		models.py
test.py		test.py
train.py		train.py
utils.py		utils.py

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Generic_Seq2Seq

I replicate and make the original Seq2Seq from PyTorch tutorials to be easy to use and adapt, also made it modular.

References and code:

https://pytorch.org/tutorials/intermediate/seq2seq_translation_tutorial.html

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I replicate and make the original Seq2Seq from PyTorch tutorials to be easy to use and adapt.

deep-neural-networks deep-learning nn pytorch lstm neural-networks seq2seq-model lstm-neural-networks long-short-term-memory-models seq2seq-attn

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