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 changes the compat entry for the `DomainSets` package from `0.6` to `0.6, 0.7` for package SimpleHandwrittenPDE. This keeps the compat entries for earlier versions. Note: I have...
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CompatHelper: bump compat for DomainSets to 0.7 for package MethodOfLinesPDE, (keep existing compat)
This pull request changes the compat entry for the `DomainSets` package from `0.5, 0.6` to `0.5, 0.6, 0.7` for package MethodOfLinesPDE. This keeps the compat entries for earlier versions. Note:...
This pull request changes the compat entry for the `MethodOfLines` package from `0.9` to `0.9, 0.10` for package SimpleHandwrittenPDE. This keeps the compat entries for earlier versions. Note: I have...
This pull request changes the compat entry for the `MethodOfLines` package from `0.9` to `0.9, 0.10` for package MethodOfLinesPDE. This keeps the compat entries for earlier versions. Note: I have...
In Sanft's paper they report the number of channels on the x axis. So I changed this benchmark to do the same. I also reduced the number of sites we...
I started with the latest julia docker image and was able to run the BCR demonstration in the Bio benchamrk group with no problems. When I added all of the...
Identified in https://github.com/SciML/SciMLBenchmarks.jl/pull/735, symbolic = true caused the server to halt: ```julia _bk;t=1694823702792Internal error: stack overflow in type inference of (::RuntimeGeneratedFunctions.RuntimeGeneratedFunction{(:ˍ₋arg1,), Symbolics.var"#_RGF_ModTag", Symbolics.var"#_RGF_ModTag", (0xaa552898, 0xaf8490d0, 0x20badbf9, 0xf8e30c84, 0x637debea), Expr})(Array{Symbolics.Num, 1})....
https://docs.sciml.ai/SciMLBenchmarksOutput/dev/HybridJumps/Synapse/ Continuing from https://github.com/SciML/SciMLBenchmarks.jl/pull/673 and https://github.com/SciML/SciMLBenchmarks.jl/pull/672 It looks like it built funny this time and someone needs to take a look at it. @gzagatti can you check that the manifest...
This pull request changes the compat entry for the `Turing` package from `0.28` to `0.28, 0.29` for package BayesianInference. This keeps the compat entries for earlier versions. Note: I have...