hnn VS opencv

Compare hnn vs opencv and see what are their differences.

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hnn opencv
- 1
112 152
- 0.0%
0.0 0.0
about 7 years ago 7 months 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.

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.

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.

What are some alternatives?

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

hopfield - hopfield

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

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.

heukarya - genetic programming in haskell

hip - Haskell Image Processing Library

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

csp - Constraint satisfaction problem (CSP) solvers for Haskell

svm-simple - Simplified interface to bindings-svm

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

neural-network-base - Neural network framework in Haskell