CarneadesDSL VS moo

Compare CarneadesDSL vs moo and see what are their differences.

CarneadesDSL

An implementation and DSL for the Carneades argumentation model. (by nebasuke)
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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)
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CarneadesDSL moo
- -
2 61
- -
0.0 0.0
about 10 years ago almost 2 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.
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CarneadesDSL

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

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

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.

What are some alternatives?

When comparing CarneadesDSL and moo you can also consider the following projects:

hnn - haskell neural network library

nn - A tiny neural network 🧠

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

opencv - Haskell binding to OpenCV-3.x

GA - Haskell module for working with genetic algorithms

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

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

heukarya - genetic programming in haskell

svm-simple - Simplified interface to bindings-svm

HSGEP - Haskell Gene Expression Programming Library

CarneadesDSL vs hnn moo vs nn CarneadesDSL vs simple-genetic-algorithm moo vs opencv CarneadesDSL vs GA moo vs tensor-safe CarneadesDSL vs cv-combinators moo vs heukarya CarneadesDSL vs svm-simple moo vs hnn CarneadesDSL vs tensor-safe moo vs HSGEP
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