Why isn’t Go used in AI/ML?

1. filter

   1 18 838 0.0 Go

   Simple apply/filter/reduce package.

   Go will never have a map/filter syntax, to the point rob pike even makes fun of it , do you really want to use it for that kind of domain ?

2. CodeRabbit

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3. Gorgonia

   2 22 5,674 1.1 Go

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

   

4. julia

   3 366 46,635 10.0 Julia

   The Julia Programming Language

   

   The Julia folk are trying to build a competitor. They’ve made a promising start but the Python ecosystem and is hard to beat. Also it’s a great REPL environment many data science folk like.

5. go-onnxruntime

   4 1 17 2.4 C++

   Unofficial C binding for Onnxruntime in Golang.

   

6. onnx-go

   5 3 648 2.3 Go

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

7. go-onnxruntime

   6 1 26 10.0 C++

   

8. goonnx

   7 1 18 10.0 Go

   Go language bindings for ONNX runtime

   

9. SaaSHub

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10. m2cgen

    8 8 2,865 0.0 Python

    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

    

    I wish that it was more common for model outputs to be converted the way bayeswitness does with mc2gen https://github.com/BayesWitnesses/m2cgen

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