shield VS GoLearn

Compare shield vs GoLearn and see what are their differences.

shield

Bayesian text classifier with flexible tokenizers and storage backends for Go (by eaigner)

GoLearn

Machine Learning for Go (by sjwhitworth)
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shield GoLearn
- 3
156 9,155
- -
0.0 0.0
about 4 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.

shield

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

We haven't tracked posts mentioning shield 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 shield and GoLearn you can also consider the following projects:

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

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)

sklearn - bits of sklearn ported to Go #golang

EAGO

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

go-deep - Artificial Neural Network

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

CloudForest - Ensembles of decision trees in go/golang.

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

bayesian - Naive Bayesian Classification for Golang.

randomforest - Random Forest implementation in golang