goga VS regommend

Compare goga vs regommend and see what are their differences.

goga

Golang Genetic Algorithm (by tomcraven)

regommend

Recommendation engine for Go (by muesli)
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goga regommend
1 -
210 310
- -
0.0 0.0
about 2 years ago over 4 years ago
Go Go
GNU General Public License v3.0 only GNU Affero General Public License v3.0
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.

goga

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

regommend

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

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

What are some alternatives?

When comparing goga and regommend you can also consider the following projects:

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

GoLearn - Machine Learning for Go

godist - Probability distributions and associated methods in Go

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

go-pr - Pattern recognition package in Go lang.

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

CloudForest - Ensembles of decision trees in go/golang.

Goptuna - A hyperparameter optimization framework, inspired by Optuna.

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

bayesian - Naive Bayesian Classification for Golang.

neural-go - A multilayer perceptron network implemented in Go, with training via backpropagation.