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bentrevett / pytorch-seq2seq

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

Repository stars
5,709All-time #10,418
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1,350
Last push
updated 2 years ago
Repository created
since 2018
Guides & collectionsGetting startedJupyter NotebookMIT · Permissive
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Summarised by AI from the README; the original prevails

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

Basic listing based on official public information; functionality has not been independently evaluated.

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Tutorials# attention# cnn-seq2seq# encoder-decoder# encoder-decoder-model# gru# lstm# neural-machine-translation# pytorch# pytorch-implementation# pytorch-implmention# pytorch-nlp# pytorch-seq2seq# pytorch-tutorial# pytorch-tutorials# rnn# seq2seq# sequence-to-sequence# torchtext# transformer

Star trend

Includes values estimated from GitHub history
5,7035,7075,71010-0710-1210-1710-2210-2711-0111-05
Raw observations · 2
Historical observations
Measured atRepository starsSource
2026-11-06 14:09 UTC5,709Source
2026-11-02 19:00 UTC5,710Source

First collected 2026-11-03Measured at 2026-11-06 14:09 UTCSourceLicense source

Compiled from public project information; not independently tested. · Repository stars, not unique users or individual-skill installs · License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited.