GoLearn VS neural-go

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

GoLearn

Machine Learning for Go (by sjwhitworth)

neural-go

A multilayer perceptron network implemented in Go, with training via backpropagation. (by schuyler)
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GoLearn neural-go
1 0
8,334 62
- -
1.7 0.0
4 months ago over 1 year 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.

GoLearn

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

neural-go

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 GoLearn and neural-go you can also consider the following projects:

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

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

sklearn - bits of sklearn ported to Go #golang

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

regommend - Recommendation engine for Go

randomforest - Random Forest implementation in golang

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

tfgo - Tensorflow + Go, the gopher way

bayesian - Naive Bayesian Classification for Golang.

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

go-deep - Artificial Neural Network