SimpleEA alternatives and similar packages
Based on the "AI" category.
Alternatively, view SimpleEA 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.
WorkOS - The modern identity platform for B2B SaaS
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README
SimpleEA is a Haskell library for evolutionary algorithms. It is written to be
easy to understand and use.
A simple example program using the library is included in AI/SimpleEA.hs. The
documentation is also available at
Hackage.
Given a function for evaluating a genome's fitness, a function for probabilistic
selection among a pool of genomes, and recombination and mutation operators, an
infinite list of generations is produced. You can choose to take a predefined
number of these generations or takeWhile a predicate holds (e.g. that the
fitness is below some value).
Utility functions for analyzing a run and for producing plotting data is
included in AI/SimpleEA/Utils.hs.