nn VS moo

Compare nn vs moo and see what are their differences.

nn

A tiny neural network 🧠 (by saschagrunert)
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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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hackage.haskell.org
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nn moo
- -
122 61
- -
0.0 0.0
almost 6 years ago over 1 year ago
Haskell Haskell
MIT 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.

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.

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 nn and moo you can also consider the following projects:

fei-examples

opencv - Haskell binding to OpenCV-3.x

grenade - Deep Learning in Haskell

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

svm - A support vector machine implemented in Haskell.

hnn - haskell neural network library

fei-base - Yet another wrapper of mxnet in Haskell

heukarya - genetic programming in haskell

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

CV - Haskell wrappers and utilities for OpenCV machine vision library

huff - A fast-forward based planner for Haskell

HSGEP - Haskell Gene Expression Programming Library

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