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A modeling framework for automatically parallelized scientific machine learning (SciML) in Julia. A computer algebra system for integrated symbolics for physics-informed machine learning and automated transformations of differential equations

  • Updated Jan 29, 2021
  • Julia
fappelman
fappelman commented Oct 21, 2020

When I start using the package the server fails with the message that a given directory is not found. The error message shows that the path is expected to be in the .build directory.

I don't have the .build directory, instead I have .build-macos and .build-linux. This allows me to compile and run code side by side on macOS and on Linux without them interfering with each other. (I ha

Extension functionality which uses Stan.jl, DynamicHMC.jl, and Turing.jl to estimate the parameters to differential equations and perform Bayesian probabilistic scientific machine learning

  • Updated Jan 19, 2021
  • Julia

Build and simulate jump equations like Gillespie simulations and jump diffusions with constant and state-dependent rates and mix with differential equations and scientific machine learning (SciML)

  • Updated Jan 28, 2021
  • Julia

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