goRecommend VS go-galib

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

goRecommend

Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)

go-galib

Genetic Algorithms library written in Go / golang (by thoj)
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goRecommend go-galib
- -
203 199
- -
0.0 0.0
over 9 years ago over 8 years ago
Go Go
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.

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.

go-galib

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

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

What are some alternatives?

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

go-pr - Pattern recognition package in Go lang.

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

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

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

gobrain - Neural Networks written in go

Varis - Golang Neural Network

libsvm - libsvm go version

godist - Probability distributions and associated methods in Go

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

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