Haskell Deep Learning

Open-source Haskell projects categorized as Deep Learning
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Topics: AI Haskell Machine Learning Graph Functional programming
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Top 4 Haskell Deep Learning Projects

  • grenade

    Deep Learning in Haskell

  • backprop

    Heterogeneous automatic differentiation ("backpropagation") in Haskell

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

    InfluxDB logo

  • typedflow

    Typed frontend to TensorFlow and higher-order deep learning

  • 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 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 1,440
2 backprop 177
3 typedflow 156
4 tensor-safe 101

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