NEUGO VS neural-go

Compare NEUGO 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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NEUGO neural-go
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98 67
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0.0 0.0
- over 3 years ago
Go Go
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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.

NEUGO

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

We haven't tracked posts mentioning NEUGO 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 NEUGO and neural-go you can also consider the following projects:

gobrain - Neural Networks written in go

GoLearn - Machine Learning for Go

EAGO

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

mlgo - Automatically exported from code.google.com/p/mlgo

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

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

go-deep - Artificial Neural Network

tfgo - Tensorflow + Go, the gopher way

sklearn - bits of sklearn ported to Go #golang

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