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Sequence to sequence network implementation in Pytorch

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seq2seq

Sequence to sequence network implementation in Pytorch

  1. simple_seq2seq.py: This code contains the implementation of paper Sequence to Sequence Learning with Neural Networks
  2. phrase_seq2seq.py: This code contains the implementation of paper Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation
  3. attention_seq2seq.py: This code contains the implementation of paper Neural Machine translation by Jointly Learning to Align and Translate
  4. padded_seq2seq.py: This code contains the usage of padded sequences and masking
  5. transformer.py: This code contains the implementation of paper Attention is All You Need
  6. BERT_basic.py: This code contains the implementation of paper BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

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Sequence to sequence network implementation in Pytorch

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