New package: SymbolicRegressionGPU v1.5.2

[JuliaRegistrator]

• Registering package: SymbolicRegressionGPU
• Repository: https://github.com/x66ccff/SymbolicRegressionGPU.jl
• Created by: @x66ccff
• Version: v1.5.2
• Commit: 2744420e3680a760953f158e558ef7a5e3567fcb
• Reviewed by: @x66ccff
• Reference: register x66ccff/SymbolicRegressionGPU.jl#19 (comment)
• Description: PSRN (Parallel Symbolic Regression Network) enhanced SymbolicRegression.jl for fast, large-scale parallel symbolic evaluations on GPUs

[github-actions]

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[x66ccff]

[noblock] I use THArrays.jl as a submodule in this package, however this requires CUDA and cmake to build this package.

[x66ccff]

[noblock] While SymbolicRegressionGPU.jl originated as a fork of SymbolicRegression.jl, it integrates the PSRN framework to accelerate symbolic regression, distinguishing it from a mere copy.

[github-actions]

This pull request has been inactive for 30 days and will be automatically closed 7 days from now. If this pull request should not be closed, please either (1) fix the AutoMerge issues and re-trigger Registrator, which will automatically update the pull request, or (2) post a comment explaining why you would like this pull request to be manually merged. [noblock]

[github-actions]

This pull request has been inactive for more than 30 days and has automatically been closed. Feel free to register your package or version again once you fix the AutoMerge issues. [noblock]