go-deep VS gago

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

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go-deep gago
0 0
388 812
- -
1.3 0.5
8 months ago over 1 year 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.

gago

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

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

What are some alternatives?

When comparing go-deep and gago you can also consider the following projects:

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

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

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

CloudForest - Ensembles of decision trees in go/golang.

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

m2cgen - Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies

tfgo - Tensorflow + Go, the gopher way

GoLearn - Machine Learning for Go

go-pr - Pattern recognition package in Go lang.

regommend - Recommendation engine for Go

goga - Golang Genetic Algorithm