NEUGO VS EAGO

Compare NEUGO vs EAGO and see what are their differences.

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NEUGO EAGO
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98 57
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0.0 0.0
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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.

EAGO

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

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

What are some alternatives?

When comparing NEUGO and EAGO you can also consider the following projects:

gobrain - Neural Networks written in go

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.

tfgo - Tensorflow + Go, the gopher way

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

GoLearn - Machine Learning for 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.

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

sklearn - bits of sklearn ported to Go #golang

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