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An experimental yet robust, type-safe machine learning library implemented from scratch in Rust

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tml /ˈtɪ̆ml̩/

An experimental type-safe machine learning library. Implementing concepts from scratch is cool, so that's what I'm doing here.

Currently, I'm working on building a somewhat fast1 Rust library from the ground up (yes, no external math libraries) with API design and "parse, don't validate" as a large focus.

  • Multi-layer perceptrons
  • Convolutional neural networks
  • Automatic differentiation

And possibly a lot more in the future

Footnotes

  1. yes. and also we don't talk about Rust compile times

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An experimental yet robust, type-safe machine learning library implemented from scratch in Rust

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