keera-posture VS nn

Compare keera-posture vs nn and see what are their differences.

keera-posture

Alleviate your back pain using Haskell and a webcam (by keera-studios)

nn

A tiny neural network 🧠 (by saschagrunert)
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keera-posture nn
- -
50 122
- -
4.7 0.0
over 3 years ago almost 6 years ago
Haskell Haskell
LicenseRef-OtherLicense 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.

keera-posture

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

We haven't tracked posts mentioning keera-posture 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 keera-posture and nn you can also consider the following projects:

hnn - haskell neural network library

fei-examples

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

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.

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

grenade - Deep Learning in Haskell

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

svm - A support vector machine implemented in Haskell.

HSGEP - Haskell Gene Expression Programming Library

fei-base - Yet another wrapper of mxnet in Haskell

hmep - Haskell Multi Expression Programming implemented with the focus on speed