Skip to content

Latest commit

 

History

History
9 lines (8 loc) · 999 Bytes

README.md

File metadata and controls

9 lines (8 loc) · 999 Bytes
Raw

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