hnn alternatives and similar packages
Based on the "AI" category.
Alternatively, view hnn alternatives based on common mentions on social networks and blogs.
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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. -
moo
Genetic algorithm library for Haskell. Binary and continuous (real-coded) GAs. Binary GAs: binary and Gray encoding; point mutation; one-point, two-point, and uniform crossover. Continuous GAs: Gaussian mutation; BLX-α, UNDX, and SBX crossover. Selection operators: roulette, tournament, and stochastic universal sampling (SUS); with optional niching, ranking, and scaling. Replacement strategies: generational with elitism and steady state. Constrained optimization: random constrained initialization, death penalty, constrained selection without a penalty function. Multi-objective optimization: NSGA-II and constrained NSGA-II. -
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HaVSA
HaVSA (Have-Saa) is a Haskell implementation of the Version Space Algebra Machine Learning technique described by Tessa Lau. -
Etage
A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.
InfluxDB - Power Real-Time Data Analytics at Scale
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They vary from L1 to L5 with "L5" being the highest.
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README
hnn
haskell neural network library
You can find the haddocks on hackage. See the examples/ directory to see how to use the library or the AI.HNN.FF.Network module for a tutorial.
Also, feel free to join #haskell-math on irc.freenode.net if you have any question, or if you just want to chat about the library, some potential use you want to make of it, etc.
This library is written and maintained by Alp Mestanogullari [email protected] and Gatlin Johnson [email protected].