neural-go VS GoLearn

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

neural-go

A multilayer perceptron network implemented in Go, with training via backpropagation. (by schuyler)

GoLearn

Machine Learning for Go (by sjwhitworth)
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neural-go GoLearn
- 3
67 9,155
- -
0.0 0.0
over 3 years ago 3 months 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.

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.

GoLearn

Posts with mentions or reviews of GoLearn. 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 neural-go and GoLearn you can also consider the following projects:

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

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

sklearn - bits of sklearn ported to Go #golang

go-deep - Artificial Neural Network

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

NEUGO

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

tfgo - Tensorflow + Go, the gopher way

randomforest - Random Forest implementation in golang

fonet - fonet is a deep neural network package for Go.

regommend - Recommendation engine for Go