onnx-go VS go-pr

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

onnx-go

onnx-go gives the ability to import a pre-trained neural network within Go without being linked to a framework or library. (by owulveryck)

go-pr

Pattern recognition package in Go lang. (by daviddengcn)
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onnx-go go-pr
3 -
632 62
- -
2.3 0.0
6 months 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.

onnx-go

Posts with mentions or reviews of onnx-go. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-12-23.

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 onnx-go 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!

GoLearn - Machine Learning for Go

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

NEUGO

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

go-onnxruntime - Unofficial C binding for Onnxruntime in Golang.

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

regommend - Recommendation engine for Go

bayesian - Naive Bayesian Classification for Golang.

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