heukarya VS cv-combinators

Compare heukarya vs cv-combinators and see what are their differences.

heukarya

genetic programming in haskell (by t3476)
AI

cv-combinators

Functional Combinators for Computer Vision, currently using OpenCV as a backend (by sinelaw)
AI
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heukarya cv-combinators
- -
17 12
- -
0.0 0.0
over 10 years ago over 8 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License GNU General Public License v2.0 only
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.

heukarya

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

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

cv-combinators

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

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

What are some alternatives?

When comparing heukarya and cv-combinators you can also consider the following projects:

hnn - haskell neural network library

genprog - Genetic programming library

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

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.

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

svm - A support vector machine implemented in Haskell.

keera-posture - Alleviate your back pain using Haskell and a webcam

opencv - Haskell binding to OpenCV-3.x

GA - Haskell module for working with genetic algorithms

svm-simple - Simplified interface to bindings-svm

creatur - Framework for artificial life and other evolutionary algorithms.