gobrain VS neural-go

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

gobrain

Neural Networks written in go (by goml)

neural-go

A multilayer perceptron network implemented in Go, with training via backpropagation. (by schuyler)
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gobrain neural-go
- -
550 67
0.7% -
0.0 0.0
over 3 years ago over 3 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.

gobrain

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

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

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

go-galib - Genetic Algorithms library written in Go / golang

GoLearn - Machine Learning for Go

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

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

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

go-deep - Artificial Neural Network

bayesian - Naive Bayesian Classification for Golang.

NEUGO

tfgo - Tensorflow + Go, the gopher way