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#

seq2seq-pytorch

Here are 16 public repositories matching this topic...

joeynmt

A PyTorch implementation of the hierarchical encoder-decoder architecture (HRED) introduced in Sordoni et al (2015). It is a hierarchical encoder-decoder architecture for modeling conversation triples in the MovieTriples dataset. This version of the model is built for the MovieTriples dataset.

  • UpdatedMay 5, 2018
  • Python

Neural Machine Translation using LSTMs and Attention mechanism. Two approaches were implemented, models, one without out attention using repeat vector, and the other using encoder decoder architecture and attention mechanism.

  • UpdatedJun 21, 2022
  • Python

Paper Implementation about Attention Mechanism in Neural Network

  • UpdatedDec 14, 2017
  • Python
  • UpdatedJan 5, 2019
  • Jupyter Notebook

ICLR_2018_Reproducibility_Challenge : Sketch-RNN

  • UpdatedFeb 3, 2018
  • Jupyter Notebook

The sequence-to sequence model implemented by pytorch

  • UpdatedJan 17, 2019
  • Python

French to English neural machine translation trained on multi30k dataset.

  • UpdatedMay 20, 2020
  • Python
  • UpdatedApr 8, 2019
  • Python

Interpretation for english autoencoder (seq2seq model).

  • UpdatedOct 10, 2019
  • Jupyter Notebook

💬 Sequence to Sequence from Scratch Using Pytorch

  • UpdatedJan 18, 2019
  • Python

Implementation of Selected Published Papers from AI, RL, NLP Conferences and reputed Journals

  • UpdatedApr 1, 2020
  • Jupyter Notebook

한글을 영어로 번역하는 자연어처리 모델 스터디입니다.

  • UpdatedMay 29, 2020
  • Jupyter Notebook

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