go-pr VS regommend

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

go-pr

Pattern recognition package in Go lang. (by daviddengcn)

regommend

Recommendation engine for Go (by muesli)
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go-pr regommend
- -
62 310
- -
0.0 0.0
almost 11 years ago over 4 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.

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.

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

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

GoLearn - Machine Learning for Go

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

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

goga - Golang Genetic Algorithm

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

CloudForest - Ensembles of decision trees in go/golang.

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

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

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