NEUGO VS sklearn

Compare NEUGO vs sklearn and see what are their differences.

sklearn

bits of sklearn ported to Go #golang (by pa-m)
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NEUGO sklearn
- -
98 343
- -
0.0 0.0
- almost 4 years ago
Go Go
- 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.

NEUGO

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

We haven't tracked posts mentioning NEUGO yet.
Tracking mentions began in Dec 2020.

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.

What are some alternatives?

When comparing NEUGO and sklearn you can also consider the following projects:

gobrain - Neural Networks written in go

GoLearn - Machine Learning for Go

EAGO

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

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

libsvm - libsvm go version

mlgo - Automatically exported from code.google.com/p/mlgo

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

gorse - Gorse open source recommender system engine

randomforest - Random Forest implementation in golang