hopfield vs CarneadesDSL

hopfield

hopfield (by imperialhopfield)

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CarneadesDSL

An implementation and DSL for the Carneades argumentation model. (by nebasuke)

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hopfield		CarneadesDSL
	Project
-	Mentions	-
28	Stars	2
-	Growth	-
0.0	Activity	0.0
over 2 years ago	Latest Commit	over 9 years ago
Makefile	Language	Haskell
MIT License	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.

hopfield

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

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

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.

What are some alternatives?

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

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.

HSGEP - Haskell Gene Expression Programming Library

creatur - Framework for artificial life and other evolutionary algorithms.

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

Etage - A general data-flow framework featuring nondeterminism, laziness and neurological pseudo-terminology.

genprog - Genetic programming library

opencv - Haskell binding to OpenCV-3.x

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