creatur alternatives and similar packages

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

grenade

9.9 5.6 creatur VS grenade

Deep Learning in Haskell
hasktorch

9.9 7.2 creatur VS hasktorch

Tensors and neural networks in Haskell

InfluxDB - Power Real-Time Data Analytics at Scale

Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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opencv

9.5 0.0 creatur VS opencv

Haskell binding to OpenCV-3.x
hnn

9.3 0.0 creatur VS hnn

haskell neural network library
nn

9.1 0.0 creatur VS nn

A tiny neural network 🧠
tensor-safe

8.8 0.0 creatur VS tensor-safe

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

8.6 0.0 creatur VS CV

Haskell wrappers and utilities for OpenCV machine vision library
moo

8.6 0.0 creatur 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.
keera-posture

8.4 4.7 creatur VS keera-posture

Alleviate your back pain using Haskell and a webcam
HOpenCV

8.1 0.0 creatur VS HOpenCV

Haskell bindings for OpenCV
svm

7.6 0.0 creatur VS svm

A support vector machine implemented in Haskell.
genprog

7.5 0.0 creatur VS genprog

Genetic programming library
hopfield

7.3 0.0 creatur VS hopfield

hopfield
GA

7.0 0.0 creatur VS GA

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

6.9 0.0 creatur VS simple-genetic-algorithm

Simple parallel genetic algorithm implementation in pure Haskell
svm-simple

6.8 0.0 creatur VS svm-simple

Simplified interface to bindings-svm
csp

6.5 0.0 creatur VS csp

Constraint satisfaction problem (CSP) solvers for Haskell
cv-combinators

6.4 0.0 creatur VS cv-combinators

Functional Combinators for Computer Vision, currently using OpenCV as a backend
simple-neural-networks

6.2 0.0 creatur VS simple-neural-networks

Simple parallel neural networks implementation in pure Haskell
heukarya

5.9 0.0 creatur VS heukarya

genetic programming in haskell
neet

5.9 0.0 creatur VS neet

Neuroevolution of Augmented Topologies (NEAT) -- in Haskell
HaVSA

5.7 0.0 creatur VS HaVSA

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

5.3 0.0 creatur VS smarties

haskell behavior tree library
huff

5.0 0.0 creatur VS huff

A fast-forward based planner for Haskell
SimpleEA

5.0 0.0 creatur VS SimpleEA

A simple evolutionary algorithm framework for Haskell
nondeterminism

5.0 0.0 creatur VS nondeterminism

Nondeterministic computations in Haskell
HSGEP

4.8 0.0 creatur VS HSGEP

Haskell Gene Expression Programming Library
fei-nn

4.1 0.0 creatur VS fei-nn

High level APIs for leaveraging neural networks with MXNet in Haskell
finito

4.1 1.8 creatur VS finito

A constraint solver for finite domains, written in Haskell.
neural-network-base

3.9 0.0 creatur VS neural-network-base

Neural network framework in Haskell
hmep

3.7 0.0 creatur VS hmep

Haskell Multi Expression Programming implemented with the focus on speed
fei-base

2.5 0.0 creatur VS fei-base

Yet another wrapper of mxnet in Haskell
Etage

2.5 0.0 creatur VS Etage

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

2.2 0.0 L1 creatur VS liblinear-enumerator

Haskell bindings to liblinear
attoparsec-arff

2.2 0.0 creatur VS attoparsec-arff

An attoparsec-based parser for ARFF files in Haskell
CarneadesDSL

2.2 0.0 creatur VS CarneadesDSL

An implementation and DSL for the Carneades argumentation model.
fei-examples

2.0 0.0 creatur VS fei-examples

fei examples
fei-dataiter

1.9 0.0 creatur VS fei-dataiter

Data Loading API of mxnet in Haskell
mxnet-nn

1.8 creatur VS mxnet-nn

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

1.7 0.0 creatur VS fei-cocoapi

Cocodataset with cocoapi
simple-genetic-algorithm-mr

1.3 0.0 creatur VS simple-genetic-algorithm-mr

Fork of simple-genetic-algorithm using MonadRandom
mxnet-dataiter

- creatur VS mxnet-dataiter

mxnet dataiters
sandlib

- - creatur VS sandlib

SAND data serialization and manipulation library

* 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

Créatúr

Créatúr is a software framework for automating experiments with artificial life (ALife) or other evolutionary algorithms (EA). It provides a daemon which ensures that each agent gets its turn to use the CPU. You can use other applications on the computer at the same time without fear of interfering with experiments; they will run normally (although perhaps more slowly). Créatúr also provides a library of modules to help you implement your own ALife species. Even if you aren't using the Créatúr framework, you may find some of these modules useful.

A tutorial on how to use Créatúr, including lots of examples, is available at https://github.com/mhwombat/creatur-examples/raw/master/Tutorial.pdf.

Créatúr (pronounced kray-toor) is an irish word meaning animal, creature, or unfortunate person.