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SciMLBenchmarks.jl holds webpages, pdfs, and notebooks showing the benchmarks for the SciML Scientific Machine Learning Software ecosystem.
Features
- Benchmarks of equation solver implementations
- Speed and robustness comparisons of methods for parameter estimation / inverse problems
- Training universal differential equations (and subsets like neural ODEs)
- Training of physics-informed neural networks (PINNs)
- Surrogate comparisons, including radial basis functions, neural operators
- DeepONets, Fourier Neural Operators
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Data VisualizationLicense
MIT LicenseFollow SciMLBenchmarks.jl
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