csp VS simple-genetic-algorithm

Compare csp vs simple-genetic-algorithm and see what are their differences.

csp

Constraint satisfaction problem (CSP) solvers for Haskell (by abarbu)
AI

simple-genetic-algorithm

Simple parallel genetic algorithm implementation in pure Haskell (by afiskon)
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csp simple-genetic-algorithm
- -
15 12
- -
0.0 0.0
about 6 years ago about 6 years ago
Haskell Haskell
LicenseRef-LGPL 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.

csp

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

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

simple-genetic-algorithm

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

We haven't tracked posts mentioning simple-genetic-algorithm yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing csp and simple-genetic-algorithm you can also consider the following projects:

grenade - Deep Learning in Haskell

hnn - haskell neural network library

opencv - Haskell binding to OpenCV-3.x

simple-genetic-algorithm-mr - Fork of simple-genetic-algorithm using MonadRandom

GA - Haskell module for working with genetic algorithms

heukarya - genetic programming in haskell

simple-neural-networks - Simple parallel neural networks implementation in pure Haskell

HaVSA - HaVSA (Have-Saa) is a Haskell implementation of the Version Space Algebra Machine Learning technique described by Tessa Lau.

svm - A support vector machine implemented in Haskell.

liblinear-enumerator - Haskell bindings to liblinear