sklearn VS libsvm

Compare sklearn vs libsvm and see what are their differences.

sklearn

bits of sklearn ported to Go #golang (by pa-m)
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sklearn libsvm
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343 72
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0.0 0.0
almost 4 years ago almost 8 years ago
Go Go
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.

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.

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 sklearn and libsvm 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

tfgo - Tensorflow + Go, the gopher way

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

CloudForest - Ensembles of decision trees in go/golang.

gorse - Gorse open source recommender system engine

neat

randomforest - Random Forest implementation in golang

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