Top 18 Haskell Machine Learning Projects
Homomorphic machine learning
Haskell bindings for TensorFlow
OPS - Build and Run Open Source Unikernels. Quickly and easily build and deploy open source unikernels in tens of seconds. Deploy in any language to any cloud.
Deep Learning in Haskell
Neural Nets in native Haskell
A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.
Type-safe modelling DSL, symbolic transformation, and code generation for solving optimization problems.Project mention: Modeling and solving optimization problems with Haskell | reddit.com/r/haskell | 2021-07-23
Type-safe modeling for optimization: https://github.com/McMasterU/HashedExpression
A Genetic Algorithm library in Haskell
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Haskell experiments involving TVM AI framework
Various examples of machine learning, in Haskell.
Icicle Streaming Query Language (by icicle-lang)Project mention: At a crossroads | reddit.com/r/haskell | 2021-08-24
We used Haskell as a general purpose programming language, so any tool that needed writing we wrote in Haskell (almost). That included AWS infrastructure using Amazonka, cli programs for running data analysis, websites with servant and purescript, new libraries to interact with services like Github and Azure, compilers https://github.com/icicle-lang/icicle. As a general purpose language it is great! The places where we couldn't and didn't use Haskell was either due to needing the JVM or specific JVM integrations like Kafka or Hadoop. Or because the code was written by non-Engineers for things like prototypes or generating reports (usually Python or R) The trouble you run into with Haskell (or any other less popular) language is missing libraries, you need to commit to writing them yourself or changing languages that include them. At one point we needed integration with Azure and MSSQL, and ended up using F# so we had access to .NET. For other Azure services we wrote REST clients to call the endpoints we needed.
A Haskell library for Bayesian modeling algorithms that are fast(er than general-purpose sampling).
XGBoost for Haskell via FFI.
Reservoir Computing, an RNN flavor (by masterdezign)
L-estimators and order statistics
Haskell Multi Expression Programming implemented with the focus on speed
Efficient implementation of tensor-based AI engine for Haskell.
Ngram-based models for compressing and classifying text
Input/output capability in various formats (binary, CSV, JSON) for Multilinear package in Haskell.
Haskell Machine Learning related posts
What are some ways I could tickle my (beginner) haskell-brain with something *useful*?
14 projects | reddit.com/r/haskell | 4 Dec 2021
Modeling and solving optimization problems with Haskell
1 project | reddit.com/r/haskell | 23 Jul 2021
1 project | reddit.com/r/ProgrammingLanguages | 30 May 2021
What are some of the best open-source Machine Learning projects in Haskell? This list will help you:
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