# Is Julia more suited as of now for classic ML rather than Gen Al, GNNs and evolutionary algorithms?

**URL:** <https://discourse.julialang.org/t/is-julia-more-suited-as-of-now-for-classic-ml-rather-than-gen-al-gnns-and-evolutionary-algorithms/107851>\
**Category:** General Usage\
**Tags:** ai, graph\
**Created:** [December 20, 2023, 12:33pm UTC](https://discourse.julialang.org/t/is-julia-more-suited-as-of-now-for-classic-ml-rather-than-gen-al-gnns-and-evolutionary-algorithms/107851 "2023-12-20T12:33:08Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![Rajaram\_Venkataraman](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/rajaram_venkataraman/32/205632_2.png) [@Rajaram\_Venkataraman](https://discourse.julialang.org/u/Rajaram_Venkataraman)\
**Post date:** [December 20, 2023, 12:33pm UTC](https://discourse.julialang.org/t/is-julia-more-suited-as-of-now-for-classic-ml-rather-than-gen-al-gnns-and-evolutionary-algorithms/107851/1 "2023-12-20T12:33:08Z")

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C++ and Python have packages for GNNs, generative AI, and genetic algorithms. It seems that Julia is currently more focused on classic ML and DNNs. Is that vorrect understanding? I am new to Julia.

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**Author:** ![jling](https://sea2.discourse-cdn.com/julialang/user_avatar/discourse.julialang.org/jling/32/212909_2.png) [@jling](https://discourse.julialang.org/u/jling)\
**Post date:** [December 20, 2023, 12:41pm UTC](https://discourse.julialang.org/t/is-julia-more-suited-as-of-now-for-classic-ml-rather-than-gen-al-gnns-and-evolutionary-algorithms/107851/2 "2023-12-20T12:41:22Z")

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On one hand, there are:

- [GitHub - FluxML/GeometricFlux.jl: Geometric Deep Learning for Flux](https://github.com/FluxML/GeometricFlux.jl)
- [GitHub - CarloLucibello/GraphNeuralNetworks.jl: Graph Neural Networks in Julia](https://github.com/CarloLucibello/GraphNeuralNetworks.jl)
- Transformers.jl

on the other hand, I would say any kind of ML in Julia is smaller in comparison to C++/Python ecosystem, even though Julia ML is alredy punching above its weight