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bentrevett/pytorch-seq2seq

A set of Jupyter Notebook tutorials teaching how to implement sequence-to-sequence models with PyTorch and TorchText.

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This repository contains tutorials covering the implementation of various sequence-to-sequence architectures using PyTorch. Topics include basic encoder-decoder RNNs with attention, CNN-based seq2seq models, and Transformer architectures. The tutorials focus on neural machine translation, training models from German to English, and cover data preprocessing with TorchText and spaCy tokenization.

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