SimpleEA alternatives and similar packages

Based on the "AI" category.
Alternatively, view SimpleEA alternatives based on common mentions on social networks and blogs.

grenade

9.9 0.0 SimpleEA VS grenade

Deep Learning in Haskell
hasktorch

9.9 4.0 SimpleEA VS hasktorch

Tensors and neural networks in Haskell

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opencv

9.5 0.0 SimpleEA VS opencv

Haskell binding to OpenCV-3.x
hnn

9.3 0.0 SimpleEA VS hnn

haskell neural network library
nn

9.2 0.0 SimpleEA VS nn

A tiny neural network 🧠
tensor-safe

8.8 0.0 SimpleEA VS tensor-safe

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

8.6 0.0 SimpleEA VS 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.
CV

8.6 0.0 SimpleEA VS CV

Haskell wrappers and utilities for OpenCV machine vision library
keera-posture

8.4 3.6 SimpleEA VS keera-posture

Alleviate your back pain using Haskell and a webcam
HOpenCV

8.2 0.0 SimpleEA VS HOpenCV

Haskell bindings for OpenCV
svm

7.8 0.0 SimpleEA VS svm

A support vector machine implemented in Haskell.
genprog

7.6 0.0 SimpleEA VS genprog

Genetic programming library
hopfield

7.5 0.0 SimpleEA VS hopfield

hopfield
svm-simple

6.9 0.0 SimpleEA VS svm-simple

Simplified interface to bindings-svm
creatur

6.9 0.0 SimpleEA VS creatur

Framework for artificial life and other evolutionary algorithms.
GA

6.9 0.0 SimpleEA VS GA

Haskell module for working with genetic algorithms
simple-genetic-algorithm

6.8 0.0 SimpleEA VS simple-genetic-algorithm

Simple parallel genetic algorithm implementation in pure Haskell
cv-combinators

6.7 0.0 SimpleEA VS cv-combinators

Functional Combinators for Computer Vision, currently using OpenCV as a backend
csp

6.4 0.0 SimpleEA VS csp

Constraint satisfaction problem (CSP) solvers for Haskell
neet

6.4 0.0 SimpleEA VS neet

Neuroevolution of Augmented Topologies (NEAT) -- in Haskell
simple-neural-networks

6.2 0.0 SimpleEA VS simple-neural-networks

Simple parallel neural networks implementation in pure Haskell
HaVSA

6.0 0.0 SimpleEA VS HaVSA

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

5.9 0.0 SimpleEA VS heukarya

genetic programming in haskell
HSGEP

5.4 0.0 SimpleEA VS HSGEP

Haskell Gene Expression Programming Library
huff

5.1 0.0 SimpleEA VS huff

A fast-forward based planner for Haskell
smarties

4.5 0.0 SimpleEA VS smarties

haskell behavior tree library
nondeterminism

4.0 2.5 SimpleEA VS nondeterminism

Nondeterministic computations in Haskell
finito

4.0 0.8 SimpleEA VS finito

A constraint solver for finite domains, written in Haskell.
fei-nn

3.7 0.0 SimpleEA VS fei-nn

High level APIs for leaveraging neural networks with MXNet in Haskell
neural-network-base

3.7 0.0 SimpleEA VS neural-network-base

Neural network framework in Haskell
hmep

3.4 0.0 SimpleEA VS hmep

Haskell Multi Expression Programming implemented with the focus on speed
CarneadesDSL

2.9 0.0 SimpleEA VS CarneadesDSL

An implementation and DSL for the Carneades argumentation model.
Etage

2.2 0.0 SimpleEA VS Etage

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

2.1 0.0 SimpleEA VS fei-base

Yet another wrapper of mxnet in Haskell
simple-genetic-algorithm-mr

1.9 0.0 SimpleEA VS simple-genetic-algorithm-mr

Fork of simple-genetic-algorithm using MonadRandom
liblinear-enumerator

1.9 0.0 L1 SimpleEA VS liblinear-enumerator

Haskell bindings to liblinear
mxnet-nn

1.8 SimpleEA VS mxnet-nn

Train a neural network with MXNet in Haskell.
fei-dataiter

1.6 0.0 SimpleEA VS fei-dataiter

Data Loading API of mxnet in Haskell
fei-examples

1.6 0.0 SimpleEA VS fei-examples

fei examples
fei-cocoapi

1.3 0.0 SimpleEA VS fei-cocoapi

Cocodataset with cocoapi
attoparsec-arff

0.8 0.0 SimpleEA VS attoparsec-arff

An attoparsec-based parser for ARFF files in Haskell
sandlib

- - SimpleEA VS sandlib

SAND data serialization and manipulation library
mxnet-dataiter

- SimpleEA VS mxnet-dataiter

mxnet dataiters

* Code Quality Rankings and insights are calculated and provided by Lumnify.
They vary from L1 to L5 with "L5" being the highest.

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README

SimpleEA is a Haskell library for evolutionary algorithms. It is written to be easy to understand and use.

A simple example program using the library is included in AI/SimpleEA.hs. The documentation is also available at Hackage.

Given a function for evaluating a genome's fitness, a function for probabilistic selection among a pool of genomes, and recombination and mutation operators, an infinite list of generations is produced. You can choose to take a predefined number of these generations or takeWhile a predicate holds (e.g. that the fitness is below some value).

Utility functions for analyzing a run and for producing plotting data is included in AI/SimpleEA/Utils.hs.

SimpleEA

A simple evolutionary algorithm framework for Haskell

SimpleEA alternatives and similar packages

Popular Comparisons

README