bayesian VS Gorgonia

Compare bayesian vs Gorgonia and see what are their differences.

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bayesian Gorgonia
0 10
733 4,529
- 1.1%
0.0 5.7
almost 2 years ago 4 days ago
Go Go
GNU General Public License v3.0 or later Apache License 2.0
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.

Gorgonia

Posts with mentions or reviews of Gorgonia. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-15.

What are some alternatives?

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

GoLearn - Machine Learning for Go

onnx-go - onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library.

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

tfgo - Tensorflow + Go, the gopher way

go-deep - Artificial Neural Network

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

gobrain - Neural Networks written in go

sklearn - bits of sklearn ported to Go #golang

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

gorse - An open source recommender system service written in Go