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Top 19 Haskell Machine Learning Projects
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Project mention: looking for simple regression (or classification) library | /r/haskell | 2022-10-28
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Project mention: Is Haskell okay for prototyping machine learning models for research (discovery and exploration) | /r/haskell | 2023-02-27
If you require JAX, you'll be out of luck using Haskell. But there is Hasktorch, http://hasktorch.org/, and Tensorflow bindings in Haskell, https://github.com/tensorflow/haskell. Both seem to be actively maintained.
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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).
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tensor-safe
A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
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HashedExpression
Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.
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Project mention: haskell-ai - stable package set, shell and application template for OpenAI tools in haskell | /r/haskell | 2023-03-29
I use this fork. https://github.com/agrafix/openai-hs/pull/2
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fastbayes
A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).
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multilinear-io
Input/output capability in various formats (binary, CSV, JSON) for Multilinear package in Haskell.
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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 2023-03-29.
Haskell Machine Learning related posts
- 5 layered CNN implementation on arduino/FPGAs [P]
- Is Haskell okay for prototyping machine learning models for research (discovery and exploration)
- Haskell deep learning tutorials [Blog]
- looking for simple regression (or classification) library
- Why Hypergraphs? (2013)
- Haskell for Artificial Intelligence?
- Rank 3 Stencils for "Efficient Parallel Stencil Convolution in Haskell" (Repa)
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A note from our sponsor - SonarQube
www.sonarqube.org | 23 Sep 2023
Index
What are some of the best open-source Machine Learning projects in Haskell? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | HLearn-algebra | 1,604 |
| 2 | tensorflow | 1,546 |
| 3 | grenade | 1,429 |
| 4 | neural | 122 |
| 5 | tensor-safe | 100 |
| 6 | HashedExpression | 41 |
| 7 | openai-hs | 40 |
| 8 | htvm | 21 |
| 9 | genetics | 20 |
| 10 | haskell-ml | 18 |
| 11 | icicle | 17 |
| 12 | fastbayes | 11 |
| 13 | xgboost-haskell | 8 |
| 14 | rc | 7 |
| 15 | hmep | 7 |
| 16 | order-statistics | 6 |
| 17 | multilinear | 5 |
| 18 | ngram | 3 |
| 19 | multilinear-io | 1 |
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