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

Project Samples

SciMLBenchmarks.jl Screenshot 1

Project Activity

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Categories

Data Visualization

License

MIT License

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Additional Project Details

Programming Language

Julia

Related Categories

Julia Data Visualization Software

Registered

2023-11-15
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