bayesian VS gobrain

Compare bayesian vs gobrain and see what are their differences.

bayesian

Naive Bayesian Classification for Golang. (by jbrukh)

gobrain

Neural Networks written in go (by goml)
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bayesian gobrain
- -
785 550
- 0.7%
2.3 0.0
5 months ago over 3 years 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.

gobrain

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

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

What are some alternatives?

When comparing bayesian and gobrain 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

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

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

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

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

goga - Golang Genetic Algorithm

NEUGO

golinear - liblinear bindings for Go

go-deep - Artificial Neural Network