This is a Pytorch implementation of Reformer. It includes LSH attention, reversible network, and chunking. It has been validated with an auto-regressive task (enwik8).

Features

  • Positional Embeddings
  • Masking
  • Documentation available
  • Examples available
  • Reformer Encoder Decoder Architecture
  • Product Key Memory
  • Customize Feedforward
  • Helpers for training auto-regressive models

Project Samples

Reformer PyTorch Screenshot 1

Project Activity

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Categories

Machine Learning

License

MIT License

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Machine Learning Software

Registered

2024-08-12
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