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Top 18 Haskell Machine Learning Projects
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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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SaaSHub
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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).
Haskell Machine Learning discussion
Haskell Machine Learning related posts
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5 layered CNN implementation on arduino/FPGAs [P]
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Is Haskell okay for prototyping machine learning models for research (discovery and exploration)
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Haskell deep learning tutorials [Blog]
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looking for simple regression (or classification) library
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Why Hypergraphs? (2013)
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Haskell for Artificial Intelligence?
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Rank 3 Stencils for "Efficient Parallel Stencil Convolution in Haskell" (Repa)
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Index
What are some of the best open-source Machine Learning projects in Haskell? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | HLearn-algebra | 1,624 |
| 2 | tensorflow | 1,583 |
| 3 | grenade | 1,450 |
| 4 | neural | 123 |
| 5 | tensor-safe | 101 |
| 6 | openai-hs | 52 |
| 7 | HashedExpression | 42 |
| 8 | htvm | 21 |
| 9 | haskell-ml | 20 |
| 10 | icicle | 18 |
| 11 | fastbayes | 11 |
| 12 | hmep | 8 |
| 13 | xgboost-haskell | 8 |
| 14 | rc | 7 |
| 15 | order-statistics | 6 |
| 16 | multilinear | 5 |
| 17 | ngram | 3 |
| 18 | multilinear-io | 1 |
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