gobrain VS goRecommend

Compare gobrain vs goRecommend and see what are their differences.

gobrain

Neural Networks written in go (by goml)

goRecommend

Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)
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gobrain goRecommend
- -
550 203
0.7% -
0.0 0.0
over 3 years ago over 9 years ago
Go Go
MIT 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.

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.

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 gobrain and goRecommend you can also consider the following projects:

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

go-pr - Pattern recognition package in Go lang.

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

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

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

Varis - Golang Neural Network

bayesian - Naive Bayesian Classification for Golang.

godist - Probability distributions and associated methods in Go

NEUGO

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

go-deep - Artificial Neural Network