go-fann VS go-deep

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

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go-fann go-deep
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115 520
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0.0 3.5
over 9 years ago 4 months 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.

go-deep

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

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

What are some alternatives?

When comparing go-fann and go-deep you can also consider the following projects:

GoLearn - Machine Learning for Go

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

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

tfgo - Tensorflow + Go, the gopher way

sklearn - bits of sklearn ported to Go #golang

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

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

shield - Bayesian text classifier with flexible tokenizers and storage backends for Go

bayesian - Naive Bayesian Classification for Golang.

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

gobrain - Neural Networks written in go