Gorgonia VS GoLearn

Compare Gorgonia vs GoLearn and see what are their differences.

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Gorgonia GoLearn
10 1
4,507 8,343
1.5% -
5.9 1.7
11 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.

Gorgonia

Posts with mentions or reviews of Gorgonia. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-15.

GoLearn

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

What are some alternatives?

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

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

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.

tfgo - Tensorflow + Go, the gopher way

go-deep - Artificial Neural Network

regommend - Recommendation engine for Go

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

randomforest - Random Forest implementation in golang