go-deep VS neural-go

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

neural-go

A multilayer perceptron network implemented in Go, with training via backpropagation. (by schuyler)
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go-deep neural-go
0 0
381 63
- -
1.5 0.0
6 months ago almost 2 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.
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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.

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

GoLearn - Machine Learning for Go

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

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

tfgo - Tensorflow + Go, the gopher way

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

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

gobrain - Neural Networks written in go

gago - :four_leaf_clover: Evolutionary optimization library for Go (genetic algorithm, partical swarm optimization, differential evolution)