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positional-encoding

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A clean, ground-up implementation of the Transformer architecture in PyTorch, including positional encoding, multi-head attention, encoder-decoder layers, and masking. Great for learning or building upon the core model.

  • Updated May 30, 2025
  • Jupyter Notebook

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