go-pr VS goRecommend

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

go-pr

Pattern recognition package in Go lang. (by daviddengcn)

goRecommend

Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)
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go-pr goRecommend
- -
62 203
- -
0.0 0.0
almost 11 years ago over 9 years ago
Go Go
- 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-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.

goRecommend

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

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

What are some alternatives?

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

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

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

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

gobrain - Neural Networks written in go

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

Varis - Golang Neural Network

regommend - Recommendation engine for Go

godist - Probability distributions and associated methods in Go

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

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

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