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.
On one hand, there are:
- GitHub - FluxML/GeometricFlux.jl: Geometric Deep Learning for Flux
- GitHub - CarloLucibello/GraphNeuralNetworks.jl: Graph Neural Networks in Julia
- 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
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