EAGO VS NEUGO

Compare EAGO vs NEUGO and see what are their differences.

EAGO

By jinyeom

NEUGO

By jinyeom
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EAGO NEUGO
0 0
57 98
- -
0.0 0.0
- -
Go Go
- -
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.

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.

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.

What are some alternatives?

When comparing EAGO and NEUGO 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.

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

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

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