libsvm VS sklearn

Compare libsvm vs sklearn and see what are their differences.

libsvm

libsvm go version (by datastream)

sklearn

bits of sklearn ported to Go #golang (by pa-m)
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libsvm sklearn
0 0
71 313
- -
0.0 0.0
over 6 years ago about 2 years ago
Go Go
BSD 3-clause "New" or "Revised" License 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.

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.

sklearn

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

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

What are some alternatives?

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

GoLearn - Machine Learning for Go

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

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

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

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

tfgo - Tensorflow + Go, the gopher way

randomforest - Random Forest implementation in golang

neat

CloudForest - Ensembles of decision trees in go/golang.

gorse - An open source recommender system service written in Go

gobrain - Neural Networks written in go