m2cgen VS go-fann

Compare m2cgen vs go-fann and see what are their differences.

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 (by BayesWitnesses)

go-fann

Go bindings for FANN, library for artificial neural networks (by vksnk)
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m2cgen go-fann
8 -
2,864 116
0.8% -
0.0 0.0
8 months ago about 10 years ago
Python Go
MIT License 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.

m2cgen

Posts with mentions or reviews of m2cgen. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-02.

go-fann

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

We haven't tracked posts mentioning go-fann yet.
Tracking mentions began in Dec 2020.

What are some alternatives?

When comparing m2cgen and go-fann you can also consider the following projects:

TensorFlow.NET - .NET Standard bindings for Google's TensorFlow for developing, training and deploying Machine Learning models in C# and F#.

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

gorse - Gorse open source recommender system engine

bayesian - Naive Bayesian Classification for Golang.

Synapses - A group of neural-network libraries for functional and mainstream languages

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

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the 2nd most popular programming language
based on number of references?