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cnn-seq2seq

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bentrevett / pytorch-seq2seq

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Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

tutorial pytorch transformer lstm gru rnn seq2seq attention neural-machine-translation sequence-to-sequence encoder-decoder pytorch-tutorial pytorch-tutorials encoder-decoder-model pytorch-implmention pytorch-nlp torchtext pytorch-implementation pytorch-seq2seq cnn-seq2seq
  • Updated Jan 20, 2024
  • Jupyter Notebook

thinkwee / DPP_CNN_Summarization

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[CoNLL 2019] In Conclusion Not Repetition:Comprehensive Abstractive Summarization With Diversified Attention Based On Determinantal Point Processes

natural-language-processing conll pytorch summarization natural-language-generation determinantal-point-processes cnn-seq2seq
  • Updated Oct 3, 2024
  • Python

porcelainruler / Language-Translation

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A Gated CNN Sequence to Sequence for Machine Translation Task. Currently it is for German to English Translation.

deep-neural-networks deep-learning language-translation machine-translation pytorch attention python-3 sequence-to-sequence hacktoberfest bert english-translation attention-is-all-you-need bert-model cnn-seq2seq english-hindi-translation machine-translation-task
  • Updated Oct 13, 2020
  • Python

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