shield VS go-pr

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

shield

Bayesian text classifier with flexible tokenizers and storage backends for Go (by eaigner)

go-pr

Pattern recognition package in Go lang. (by daviddengcn)
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shield go-pr
- -
156 62
- -
0.0 0.0
about 4 years ago almost 11 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.

shield

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

We haven't tracked posts mentioning shield 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 shield and go-pr you can also consider the following projects:

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

goRecommend - Collaborative Filtering (CF) Algorithms in Go!

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

EAGO

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

go-deep - Artificial Neural Network

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

CloudForest - Ensembles of decision trees in go/golang.

regommend - Recommendation engine for Go

bayesian - Naive Bayesian Classification for Golang.

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