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In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.

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Awesome Haskell Deep Learning Awesome

In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning (and adjacent/related topics) in Haskell.

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Haskell Packages

Packages Under Active Development

Legacy Packages

  • convoluted - Dependently typed convolutional neural networks in pure Haskell. Uses the repa library for high-performance arrays, with a static wrapper that ensures networks are valid at compile-time. | Jonas Carpay
  • deeplearning-hs
  • dnngraph
  • lambdanet
  • neural - The goal of neural is to provide a modular and flexible neural network library written in native Haskell. | Lars Brünjes

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In the tradition of "awesome" (curated) lists, this is a list of references and code for doing deep learning in Haskell.

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