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

    Project mention: Haskell deep learning tutorials [Blog] | reddit.com/r/haskell | 2023-01-23

    Grenade is fun, but it does not support CUDA, so it will limit you. I would say that this was a great experiment that has influenced the Hasktorch library in different ways (let me know if I am wrong).

  • backprop

    Heterogeneous automatic differentiation ("backpropagation") in Haskell

    Project mention: Backpropagation and Accelerate | reddit.com/r/haskell | 2023-01-17

  • InfluxDB

    Access the most powerful time series database as a service. Ingest, store, & analyze all types of time series data in a fully-managed, purpose-built database. Keep data forever with low-cost storage and superior data compression.

  • 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). The latest post mention was on 2023-01-23.

Haskell Deep Learning related posts

Index

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

Project Stars
1 grenade 1,408
2 backprop 175
3 typedflow 155
4 tensor-safe 98

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