Gorgonia VS neural-go

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

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Gorgonia neural-go
10 0
4,507 63
1.5% -
5.9 0.0
11 days ago over 1 year ago
Go Go
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.


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.


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 Gorgonia and neural-go 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

sklearn - bits of sklearn ported to Go #golang

gorse - An open source recommender system service written in Go

gobrain - Neural Networks written in go

bayesian - Naive Bayesian Classification for Golang.

gotch - Go binding for Pytorch C++ API (libtorch)