gorse VS GoLearn

Compare gorse vs GoLearn and see what are their differences.

gorse

An open source recommender system service written in Go (by gorse-io)

GoLearn

Machine Learning for Go (by sjwhitworth)
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gorse GoLearn
5 1
6,406 8,628
1.9% -
8.9 0.0
9 days ago 4 months ago
Go Go
Apache License 2.0 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.

gorse

Posts with mentions or reviews of gorse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-13.

GoLearn

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

We haven't tracked posts mentioning GoLearn yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

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

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

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

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

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.

randomforest - Random Forest implementation in golang

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