nn VS hnn

Compare nn vs hnn and see what are their differences.

nn

A tiny neural network 🧠 (by saschagrunert)
AI

hnn

haskell neural network library (by alpmestan)
AI
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nn hnn
- -
122 112
- -
0.0 0.0
almost 6 years ago about 7 years 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.

hnn

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

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

What are some alternatives?

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

fei-examples

opencv - Haskell binding to OpenCV-3.x

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.

hopfield - hopfield

grenade - Deep Learning in Haskell

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

svm - A support vector machine implemented in Haskell.

heukarya - genetic programming in haskell

fei-base - Yet another wrapper of mxnet in Haskell

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

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

svm-simple - Simplified interface to bindings-svm