svm-simple VS keera-posture

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

svm-simple

Simplified interface to bindings-svm (by aleator)

keera-posture

Alleviate your back pain using Haskell and a webcam (by keera-studios)
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svm-simple keera-posture
- -
6 50
- -
0.0 4.7
over 7 years ago over 3 years ago
Haskell Haskell
BSD 3-clause "New" or "Revised" License LicenseRef-OtherLicense
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.

svm-simple

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

We haven't tracked posts mentioning svm-simple yet.
Tracking mentions began in Dec 2020.

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.

What are some alternatives?

When comparing svm-simple and keera-posture you can also consider the following projects:

SimpleEA - A simple evolutionary algorithm framework for Haskell

hnn - haskell neural network library

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

heukarya - genetic programming in haskell

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

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

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

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.

HSGEP - Haskell Gene Expression Programming Library

svm - A support vector machine implemented in Haskell.

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