nn VS huff

Compare nn vs huff and see what are their differences.

nn

A tiny neural network 🧠 (by saschagrunert)
AI

huff

A fast-forward based planner for Haskell (by elliottt)
AI
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nn huff
- -
122 8
- -
0.0 0.0
almost 6 years ago over 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.

huff

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

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

What are some alternatives?

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

fei-examples

hnn - haskell neural network library

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.

GA - Haskell module for working with genetic algorithms

grenade - Deep Learning in Haskell

keera-posture - Alleviate your back pain using Haskell and a webcam

svm - A support vector machine implemented in Haskell.

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

fei-base - Yet another wrapper of mxnet in Haskell

genprog - Genetic programming library

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