bayesian VS gago

Compare bayesian vs gago and see what are their differences.

bayesian

Naive Bayesian Classification for Golang. (by jbrukh)

gago

:four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution) (by MaxHalford)
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bayesian gago
0 1
784 869
- -
2.3 0.0
4 months ago about 1 year ago
Go Go
GNU General Public License v3.0 or later 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.

bayesian

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

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

gago

Posts with mentions or reviews of gago. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-18.

What are some alternatives?

When comparing bayesian and gago you can also consider the following projects:

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

go-galib - Genetic Algorithms library written in Go / golang

GoLearn - Machine Learning for Go

goga - Golang Genetic Algorithm

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

shield - Bayesian text classifier with flexible tokenizers and storage backends for Go

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

gobrain - Neural Networks written in go

regommend - Recommendation engine for Go

CloudForest - Ensembles of decision trees in go/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

go-pr - Pattern recognition package in Go lang.