SciMLBenchmarks.jl
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SciML
Scientific machine learning (SciML) benchmarks, AI for science, and (differential) equation solvers. Covers Julia, Python (PyTorch, Jax), MATLAB, R
This pull request sets the compat entry for the `DelimitedFiles` package to `1` for package PINNErrorsVsTime. This keeps the compat entries for earlier versions. Note: I have not tested your...
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@Vaibhavdixit02 can you take a look over the next week into updating/upgrading https://github.com/jonathanBieler/BlackBoxOptimizationBenchmarking.jl to Optimization.jl's interface? It would nice to have this easily re-runnable over all of Optimization.jl's methods given...
This pull request changes the compat entry for the `QuasiMonteCarlo` package from `0.2` to `0.2, 0.3` for package PINNErrorsVsTime. This keeps the compat entries for earlier versions. Note: I have...
No appendix is present in the docs: https://docs.sciml.ai/SciMLBenchmarksOutput/dev/NBodySimulator/liquid_argon/ Yet there should be? https://github.com/SciML/SciMLBenchmarks.jl/blob/8cf559b9cb9f23aed8a59308679b9b23aaeefb2d/benchmarks/NBodySimulator/liquid_argon.jmd#L311-L314
This seems to be a very good benchmark set: http://download.springer.com/static/pdf/264/art%253A10.1186%252Fs12918-015-0144-4.pdf?originUrl=http%3A%2F%2Fbmcsystbiol.biomedcentral.com%2Farticle%2F10.1186%2Fs12918-015-0144-4&token2=exp=1496951319~acl=%2Fstatic%2Fpdf%2F264%2Fart%25253A10.1186%25252Fs12918-015-0144-4.pdf*~hmac=2832248480a14616e75641200f8d2d60fbc3de9057f565c77ca7d4ecf873a664 https://sites.google.com/site/biopredynbenchmarks/home We should benchmark our performance on these.
This pull request changes the compat entry for the `DifferentiationInterface` package from `0.2` to `0.2, 0.3` for package AutomaticDifferentiation. This keeps the compat entries for earlier versions. Note: I have...
This pull request changes the compat entry for the `DifferentiationInterfaceTest` package from `0.2` to `0.2, 0.3` for package AutomaticDifferentiation. This keeps the compat entries for earlier versions. Note: I have...
This pull request changes the compat entry for the `Tapir` package from `0.1` to `0.1, 0.2` for package AutomaticDifferentiation. This keeps the compat entries for earlier versions. Note: I have...
## Checklist - [ ] Appropriate tests were added - [ ] Any code changes were done in a way that does not break public API - [ ] All...
**Describe the bug 🐞** All the pseudospectral PDE benchmarks are failing except the Burgers equation. There is no work precision diagrams generated within the docs
