opencv VS csp

Compare opencv vs csp and see what are their differences.

csp

Constraint satisfaction problem (CSP) solvers for Haskell (by abarbu)
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opencv csp
1 -
152 15
0.0% -
0.0 0.0
7 months ago about 6 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License LicenseRef-LGPL
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.

opencv

Posts with mentions or reviews of opencv. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-12-31.

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.

What are some alternatives?

When comparing opencv and csp you can also consider the following projects:

caer - High-performance Vision library in Python. Scale your research, not boilerplate.

grenade - Deep Learning in Haskell

hnn - haskell neural network library

GA - Haskell module for working with genetic algorithms

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.

hip - Haskell Image Processing Library

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

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

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

heukarya - genetic programming in haskell

svm - A support vector machine implemented in Haskell.