moo VS nn

Compare moo vs nn and see what are their differences.

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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Source Code
hackage.haskell.org
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nn

A tiny neural network 🧠 (by saschagrunert)
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moo nn
- -
61 122
- -
0.0 0.0
over 1 year ago almost 6 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License MIT 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.

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.

nn

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

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

What are some alternatives?

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

opencv - Haskell binding to OpenCV-3.x

fei-examples

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

grenade - Deep Learning in Haskell

hnn - haskell neural network library

svm - A support vector machine implemented in Haskell.

heukarya - genetic programming in haskell

fei-base - Yet another wrapper of mxnet in Haskell

CV - Haskell wrappers and utilities for OpenCV machine vision library

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

HSGEP - Haskell Gene Expression Programming Library

huff - A fast-forward based planner for Haskell

moo vs opencv nn vs fei-examples moo vs tensor-safe nn vs grenade moo vs hnn nn vs svm moo vs heukarya nn vs fei-base moo vs CV nn vs finito moo vs HSGEP nn vs huff