go-deep VS Gorgonia

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

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go-deep Gorgonia
- 21
510 5,326
- 1.0%
3.5 2.8
3 months ago 23 days ago
Go Go
MIT License 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.

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.

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.

What are some alternatives?

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

tfgo - Tensorflow + Go, the gopher way

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

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

GoLearn - Machine Learning for Go

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

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

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

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

gobrain - Neural Networks written in go

bayesian - Naive Bayesian Classification for Golang.