svm-simple VS creatur

Compare svm-simple vs creatur and see what are their differences.

svm-simple

Simplified interface to bindings-svm (by aleator)

creatur

Framework for artificial life and other evolutionary algorithms. (by mhwombat)
AI
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svm-simple creatur
- -
6 23
- -
0.0 0.0
over 7 years ago over 1 year ago
Haskell Haskell
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.

svm-simple

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

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

creatur

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

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

What are some alternatives?

When comparing svm-simple and creatur you can also consider the following projects:

SimpleEA - A simple evolutionary algorithm framework for Haskell

hnn - haskell neural network library

HSGEP - Haskell Gene Expression Programming Library

genprog - Genetic programming library

heukarya - genetic programming in haskell

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

fei-cocoapi

liblinear-enumerator - Haskell bindings to liblinear

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