gago VS GoMind

Compare gago vs GoMind and see what are their differences.

gago

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

GoMind

A simplistic Neural Network Library in Go (by surenderthakran)
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gago GoMind
1 1
869 72
- -
0.0 0.0
about 1 year ago almost 2 years ago
Go Go
MIT License GNU General Public License v3.0 only
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.

gago

Posts with mentions or reviews of gago. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-18.

GoMind

Posts with mentions or reviews of GoMind. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-18.

What are some alternatives?

When comparing gago and GoMind you can also consider the following projects:

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

bayesian - Naive Bayesian Classification for Golang.

goga - Golang Genetic Algorithm

ocrserver - A simple OCR API server, seriously easy to be deployed by Docker, on Heroku as well

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

GoLearn - Machine Learning for Go

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

tfgo - Tensorflow + Go, the gopher way

CloudForest - Ensembles of decision trees in go/golang.

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

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

go-deep - Artificial Neural Network