go-cluster VS goRecommend

Compare go-cluster vs goRecommend and see what are their differences.

go-cluster

k-modes and k-prototypes clustering algorithms implementation in Go (by e-XpertSolutions)

goRecommend

Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)
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go-cluster goRecommend
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39 203
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0.0 0.0
over 1 year ago almost 10 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.

go-cluster

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

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

goRecommend

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

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

What are some alternatives?

When comparing go-cluster and goRecommend you can also consider the following projects:

sklearn - bits of sklearn ported to Go #golang

go-pr - Pattern recognition package in Go lang.

fonet - fonet is a deep neural network package for Go.

neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.

gorse - Gorse open source recommender system engine

gobrain - Neural Networks written in go

GoLearn - Machine Learning for Go

Varis - Golang Neural Network

godist - Probability distributions and associated methods in Go

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

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