go-deep VS gobrain

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

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go-deep gobrain
- -
510 550
- 0.7%
3.5 0.0
3 months ago over 3 years ago
Go Go
MIT License 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.

go-deep

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

We haven't tracked posts mentioning go-deep yet.
Tracking mentions began in Dec 2020.

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.

What are some alternatives?

When comparing go-deep and gobrain 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)

tfgo - Tensorflow + Go, the gopher way

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

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

bayesian - Naive Bayesian Classification for Golang.

shield - Bayesian text classifier with flexible tokenizers and storage backends for Go

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

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

GoLearn - Machine Learning for Go

NEUGO