HOpenCV VS hnn

Compare HOpenCV vs hnn and see what are their differences.

HOpenCV

Haskell bindings for OpenCV (by sinelaw)
AI

hnn

haskell neural network library (by alpmestan)
AI
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HOpenCV hnn
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22 112
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0.0 0.0
over 8 years ago about 7 years ago
Haskell Haskell
GNU General Public License v2.0 only 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.

HOpenCV

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

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

hnn

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

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

What are some alternatives?

When comparing HOpenCV and hnn you can also consider the following projects:

smarties - haskell behavior tree library

opencv - Haskell binding to OpenCV-3.x

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

hopfield - hopfield

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.

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

heukarya - genetic programming in haskell

genprog - Genetic programming library

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

GA - Haskell module for working with genetic algorithms

svm-simple - Simplified interface to bindings-svm