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. (by astanin)
hnn
haskell neural network library (by alpmestan)
| moo | hnn | |
|---|---|---|
| - | - | |
| 59 | 112 | |
| - | 0.0% | |
| 0.0 | 0.0 | |
| 9 months ago | over 8 years 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.
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.
moo
Posts with mentions or reviews of moo.
We have used some of these posts to build our list of alternatives
and similar projects.
We haven't tracked posts mentioning moo 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 moo and hnn you can also consider the following projects:
CV - Haskell wrappers and utilities for OpenCV machine vision 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.
HOpenCV - Haskell bindings for OpenCV
opencv - Haskell binding to OpenCV-3.x
cv-combinators - Functional Combinators for Computer Vision, currently using OpenCV as a backend