gobrain VS GoLearn

Compare gobrain vs GoLearn and see what are their differences.

gobrain

Neural Networks written in go (by goml)

GoLearn

Machine Learning for Go (by sjwhitworth)
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gobrain GoLearn
0 3
550 9,147
0.7% -
0.0 0.0
over 3 years ago 3 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.

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.

GoLearn

Posts with mentions or reviews of GoLearn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-02-06.

What are some alternatives?

When comparing gobrain and GoLearn you can also consider the following projects:

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

sklearn - bits of sklearn ported to Go #golang

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

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

randomforest - Random Forest implementation in golang

regommend - Recommendation engine for Go

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

tfgo - Tensorflow + Go, the gopher way

onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

bayesian - Naive Bayesian Classification for Golang.