Haskell Deep Learning

Open-source Haskell projects categorized as Deep Learning
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Top 4 Haskell Deep Learning Projects

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Deep Learning

  1. grenade

    Deep Learning in Haskell

  2. SaaSHub

    SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives

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  3. backprop

    Heterogeneous automatic differentiation ("backpropagation") in Haskell

  4. typedflow

    Typed frontend to TensorFlow and higher-order deep learning

  5. tensor-safe

    A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Haskell Deep Learning discussion

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Haskell Deep Learning related posts

  • Why Hypergraphs? (2013)

    2 projects | news.ycombinator.com | 29 Jul 2022

  • Hacker News top posts: May 26, 2022

    2 projects | /r/hackerdigest | 26 May 2022

  • Rank 3 Stencils for "Efficient Parallel Stencil Convolution in Haskell" (Repa)

    1 project | /r/haskell | 17 Feb 2022

  • What are some ways I could tickle my (beginner) haskell-brain with something *useful*?

    14 projects | /r/haskell | 4 Dec 2021

Index

What are some of the best open-source Deep Learning projects in Haskell? This list will help you:

# Project Stars
1 grenade 1,450
2 backprop 193
3 typedflow 156
4 tensor-safe 102

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