simple-genetic-algorithm-mr VS liblinear-enumerator

Compare simple-genetic-algorithm-mr vs liblinear-enumerator and see what are their differences.

simple-genetic-algorithm-mr

Fork of simple-genetic-algorithm using MonadRandom (by JPMoresmau)

liblinear-enumerator

Haskell bindings to liblinear (by NathanHowell)
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simple-genetic-algorithm-mr liblinear-enumerator
- -
2 3
- -
0.0 0.0
about 9 years ago about 13 years ago
Haskell C++
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.

simple-genetic-algorithm-mr

Posts with mentions or reviews of simple-genetic-algorithm-mr. 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-mr yet.
Tracking mentions began in Dec 2020.

liblinear-enumerator

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

We haven't tracked posts mentioning liblinear-enumerator yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing simple-genetic-algorithm-mr and liblinear-enumerator you can also consider the following projects:

simple-genetic-algorithm - Simple parallel genetic algorithm implementation in pure Haskell

grenade - Deep Learning in Haskell

hnn - haskell neural network library

Etage - A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.

creatur - Framework for artificial life and other evolutionary algorithms.

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

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

cv-combinators - Functional Combinators for Computer Vision, currently using OpenCV as a backend

neet - Neuroevolution of Augmented Topologies (NEAT) -- in Haskell

GA - Haskell module for working with genetic algorithms

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