gobrain VS libsvm

Compare gobrain vs libsvm and see what are their differences.

gobrain

Neural Networks written in go (by goml)

libsvm

libsvm go version (by datastream)
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gobrain libsvm
0 0
495 69
0.2% -
0.0 0.0
about 1 year ago over 5 years ago
Go Go
MIT License GNU General Public License v3.0 or later
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.

gobrain

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

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

libsvm

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

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

What are some alternatives?

When comparing gobrain and libsvm you can also consider the following projects:

sklearn - bits of sklearn ported to Go #golang

Gorgonia - Gorgonia is a library that helps facilitate machine learning in Go.

neat

bayesian - Naive Bayesian Classification for Golang.

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

go-galib - Genetic Algorithms library written in Go / golang

go-fann - Go bindings for FANN, library for artificial neural networks

regommend - Recommendation engine for Go

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

shield - Bayesian text classifier with flexible tokenizers and storage backends for Go

goml - On-line Machine Learning in Go (and so much more)