bayesian VS fonet

Compare bayesian vs fonet and see what are their differences.

bayesian

Naive Bayesian Classification for Golang. (by jbrukh)

fonet

fonet is a deep neural network package for Go. (by Fontinalis)
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bayesian fonet
- -
805 84
0.0% -
2.3 0.0
over 1 year ago almost 4 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.

fonet

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

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

What are some alternatives?

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

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

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

goga - Golang Genetic Algorithm

go-cluster - k-modes and k-prototypes clustering algorithms implementation in Go

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

ocrserver - A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well

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