go-fann VS goRecommend

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

go-fann

Go bindings for FANN, library for artificial neural networks (by vksnk)

goRecommend

Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)
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go-fann goRecommend
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115 203
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0.0 0.0
over 9 years ago almost 10 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.

go-fann

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

We haven't tracked posts mentioning go-fann 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-fann and goRecommend you can also consider the following projects:

GoLearn - Machine Learning for Go

go-pr - Pattern recognition package in Go lang.

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

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

sklearn - bits of sklearn ported to Go #golang

gobrain - Neural Networks written in go

gosseract - Go package for OCR (Optical Character Recognition), by using Tesseract C++ library

Varis - Golang Neural Network

bayesian - Naive Bayesian Classification for Golang.

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