regommend VS go-pr

Compare regommend vs go-pr and see what are their differences.

regommend

Recommendation engine for Go (by muesli)

go-pr

Pattern recognition package in Go lang. (by daviddengcn)
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regommend go-pr
- -
310 62
- -
0.0 0.0
over 4 years ago almost 11 years ago
Go Go
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.

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.

go-pr

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

We haven't tracked posts mentioning go-pr yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing regommend and go-pr you can also consider the following projects:

GoLearn - Machine Learning for Go

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

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

goga - Golang Genetic Algorithm

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

CloudForest - Ensembles of decision trees in go/golang.

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

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

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

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