bayesian VS neural-go

Compare bayesian vs neural-go and see what are their differences.

bayesian

Naive Bayesian Classification for Golang. (by jbrukh)

neural-go

A multilayer perceptron network implemented in Go, with training via backpropagation. (by schuyler)
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bayesian neural-go
- -
785 67
- -
2.3 0.0
5 months ago over 3 years ago
Go Go
GNU General Public License v3.0 or later -
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.

neural-go

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

We haven't tracked posts mentioning neural-go yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing bayesian and neural-go you can also consider the following projects:

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

GoLearn - Machine Learning for Go

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

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

gobrain - Neural Networks written in go

go-deep - Artificial Neural Network

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

NEUGO

goga - Golang Genetic Algorithm

tfgo - Tensorflow + Go, the gopher way