GoLearn VS goml

Compare GoLearn vs goml and see what are their differences.

GoLearn

Machine Learning for Go (by sjwhitworth)

goml

On-line Machine Learning in Go (and so much more) (by cdipaolo)
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GoLearn goml
1 1
8,334 1,342
- -
1.7 0.3
4 months ago 7 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.

GoLearn

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

goml

Posts with mentions or reviews of goml. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-10-16.

What are some alternatives?

When comparing GoLearn and goml 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

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

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

regommend - Recommendation engine for Go

randomforest - Random Forest implementation in golang

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

tfgo - Tensorflow + Go, the gopher way

bayesian - Naive Bayesian Classification for Golang.

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

go-deep - Artificial Neural Network