hyunwoongko/transformer
A PyTorch implementation of the Transformer architecture for sequence-to-sequence tasks such as machine translation.
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This repository contains an implementation of the Transformer model as described in the 2017 ‘Attention Is All You Need’ paper by Google Brain. The implementation includes key components such as positional encoding, multi-head self-attention, and the encoder-decoder architecture. It is designed for sequence-to-sequence tasks like neural machine translation.
Frequently asked
- What is hyunwoongko/transformer?
- A PyTorch implementation of the Transformer architecture for sequence-to-sequence tasks such as machine translation.
- Is transformer open source?
- Yes — hyunwoongko/transformer is an open-source project tracked on heatdrop.
- What language is transformer written in?
- hyunwoongko/transformer is primarily written in Python.
- How popular is transformer?
- hyunwoongko/transformer has 4.6k stars on GitHub.
- Where can I find transformer?
- hyunwoongko/transformer is on GitHub at https://github.com/hyunwoongko/transformer.