goRecommend VS NEUGO

Compare goRecommend vs NEUGO and see what are their differences.

goRecommend

Collaborative Filtering (CF) Algorithms in Go! (by timkaye11)
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goRecommend NEUGO
- -
203 98
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0.0 0.0
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.

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.

NEUGO

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

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

What are some alternatives?

When comparing goRecommend and NEUGO you can also consider the following projects:

go-pr - Pattern recognition package in Go lang.

gobrain - Neural Networks written in go

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

EAGO

Varis - Golang Neural Network

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

godist - Probability distributions and associated methods in Go

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

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

GoLearn - Machine Learning for Go