memorizing-transformers-pytorch

Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch

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631 Stars

46 Forks

631 Watchers

Python Language

mit License

Cost to Build

$2.09M

Market Value

$5.94M

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Growth over time

4 data points · 2022-06-01 → 2025-03-01

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What is the lucidrains/memorizing-transformers-pytorch GitHub project? Description: "Implementation of Memorizing Transformers (ICLR 2022), attention net augmented with indexing and retrieval of memories using approximate nearest neighbors, in Pytorch". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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