sklearn VS Gorgonia

Compare sklearn vs Gorgonia and see what are their differences.

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sklearn Gorgonia
- 21
343 5,333
- 1.0%
0.0 2.8
almost 4 years 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.

sklearn

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

We haven't tracked posts mentioning sklearn 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 sklearn 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.

libsvm - libsvm go version

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

tfgo - Tensorflow + Go, the gopher way

gorse - Gorse open source recommender system engine

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

randomforest - Random Forest implementation in golang

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

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

bayesian - Naive Bayesian Classification for Golang.