moo VS HSGEP

Compare moo vs HSGEP and see what are their differences.

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. (by astanin)
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Source Code
hackage.haskell.org
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HSGEP

Haskell Gene Expression Programming Library (by mjsottile)
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moo HSGEP
- -
61 10
- -
0.0 0.0
over 1 year ago about 6 years ago
Haskell Mathematica
BSD 3-clause "New" or "Revised" License BSD 3-clause "New" or "Revised" License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

moo

Posts with mentions or reviews of moo. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning moo yet.
Tracking mentions began in Dec 2020.

HSGEP

Posts with mentions or reviews of HSGEP. We have used some of these posts to build our list of alternatives and similar projects.

We haven't tracked posts mentioning HSGEP yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing moo and HSGEP you can also consider the following projects:

nn - A tiny neural network 🧠

creatur - Framework for artificial life and other evolutionary algorithms.

opencv - Haskell binding to OpenCV-3.x

hopfield - hopfield

tensor-safe - A Haskell framework to define valid deep learning models and export them to other frameworks like TensorFlow JS or Keras.

hnn - haskell neural network library

genprog - Genetic programming library

heukarya - genetic programming in haskell

grenade - Deep Learning in Haskell

CV - Haskell wrappers and utilities for OpenCV machine vision library

GA - Haskell module for working with genetic algorithms

moo vs nn HSGEP vs creatur moo vs opencv HSGEP vs hopfield moo vs tensor-safe HSGEP vs tensor-safe moo vs hnn HSGEP vs genprog moo vs heukarya HSGEP vs grenade moo vs CV HSGEP vs GA