gorse VS go-deep

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

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gorse go-deep
8 -
8,099 516
2.2% -
6.7 3.5
12 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.

gorse

Posts with mentions or reviews of gorse. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-22.

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 gorse and go-deep you can also consider the following projects:

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

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

tfgo - Tensorflow + Go, the gopher way

sklearn - bits of sklearn ported to Go #golang

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

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

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

GoLearn - Machine Learning for Go

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

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