Gorgonia VS go-deep

Compare Gorgonia vs go-deep and see what are their differences.

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Gorgonia go-deep
21 -
5,333 516
1.1% -
2.8 3.5
23 days ago 3 months ago
Go Go
Apache License 2.0 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.

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 2023-02-06.

go-deep

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

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

What are some alternatives?

When comparing Gorgonia and go-deep you can also consider the following projects:

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

tfgo - Tensorflow + Go, the gopher way

GoLearn - Machine Learning for Go

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

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

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

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

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

bayesian - Naive Bayesian Classification for Golang.

gobrain - Neural Networks written in go