SciML_Org's profile picture. Open source software for scientific machine learning (#sciml) in #julialang #python #rstats.

SciML Scientific Machine Learning Software Org

@SciML_Org

Open source software for scientific machine learning (#sciml) in #julialang #python #rstats.

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We are happy to announce a major advance in DifferentialEquations.jl. With improvements to #juilalang BDF methods, the QNDF method outperforms CVODE on the full SciMLBenchmarks suite and has replaced it in recommendations and defaults. Read more: sciml.ai/news/2021/05/2…

SciML_Org's tweet image. We are happy to announce a major advance in DifferentialEquations.jl. With improvements to #juilalang BDF methods, the QNDF method outperforms CVODE on the full SciMLBenchmarks suite and has replaced it in recommendations and defaults. Read more:

sciml.ai/news/2021/05/2…

Shapley values, a method of explainable Machine Learning (ML), are now in GlobalSensitivity.jl #julialang #sciml. Shapley Effects provide a robust methodology for quantifying the influence of input variables on model outputs. Shapley on Neural ODEs: lnkd.in/gCqRczvB.

SciML_Org's tweet image. Shapley values, a method of explainable Machine Learning (ML), are now in GlobalSensitivity.jl #julialang #sciml. Shapley Effects provide a robust methodology for quantifying the influence of input variables on model outputs. Shapley on Neural ODEs: lnkd.in/gCqRczvB.

Overhauled error messages make it easy to understand incorrect inputs. Major expansions to docstrings, consistent use of style guides, and new #julialang packages for neural operators (DeepONets, Fourier Neural Operators)? See the #sciml ecosystem update! sciml.ai/news/2022/10/0…


Are you interested in @SciMLCon 2023? Well we are too, and we're interested in finding out what would make it even better than last year! Please take this survey to share your thoughts: form.jotform.com/222333194908053


New paper by Vaibhav Dixit and Chris Rackauckas on a #julialang #sciml library for Global Sensitivity Analysis (GSA)!

Just published in JOSS: 'GlobalSensitivity.jl: Performant and Parallel Global Sensitivity Analysis with Julia' doi.org/10.21105/joss.…



SciML@JuliaCon 2022 Differentiable Earth system models in Julia | JuliaCon 2022 | Ludovic Räss, Boris Kaus, Julien Le Sommer, Nora Loose, Mathieu Morlighem, Chris Hill, Sarah Williamson, Valentin/Billy, Michel/Krishna, Chris Rackauckas youtube.com/watch?v=K2VtJe…

SciML_Org's tweet card. Differentiable Earth System Models in Julia | Minisymposium |...

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Differentiable Earth System Models in Julia | Minisymposium |...


SciML@JuliaCon 2022 Universal Differential Equation models with wrong assumptions | Luca Reale | JuliaCon 2022 youtube.com/watch?v=lCDrCq…


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