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SciML/ModelingToolkit.jl

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An acausal 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

10 mentions on Hacker News by 5 people: 0 stories, 10 comments · first 2019-08-05 · latest 2024-12-16

Mentions per year 10 mentions · busiest year 2020 (3)
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  1. …From my understanding, it's 100% proprietary/commercial, but built on top of the open source https://github.com/SciML/ModelingToolkit.jl ?
    comment by auxym · 2024-12-16 · in Modelica
  2. …in organizations like SciML which enforce SciML Style formatting as a CI run with Github Actions https://github.com/SciML/ModelingToolkit.jl/blob/v8.14.1/.gi... ). There's a call to add linting support for this as well, flagging it any…
    comment by ChrisRackauckas · 2022-06-27 · in Why I still recommend Julia
  3. The thing to watch in the space of Simulink/Modelica is https://github.com/SciML/ModelingToolkit.jl . It's an acausal modeling system similar to Modelica (though extended to things like SDEs, PDEs, and nonlinear optimization), and has a…
    comment by ChrisRackauckas · 2022-05-11 · in ‘Machine Scientists’ Distill the Laws of Physics from Raw Data
  4. …does optimal code generation for the Julia solvers... and that's what ModelingToolkit.jl is ( https://github.com/SciML/ModelingToolkit.jl ). That project is still pretty new, but there's already enough to show some large-scale models…
    comment by ChrisRackauckas · 2021-12-01 · in Julia 1.7 Highlights
  5. …through macro's. For instance this package, https://jump.dev/JuMP.jl/dev/examples/basic/ , https://github.com/SciML/ModelingToolkit.jl or https://turing.ml/dev/docs/using-turing/get-started
    comment by stabbles · 2021-01-19 · in Lispsyntax.jl: A Clojure-like Lisp syntax for julia
  6. …a symbolic math package written fully in Julia (with a bunch of extra symbolic-numerics features) https://github.com/SciML/ModelingToolkit.jl https://mtk.sciml.ai/dev/tutorials/symbolic_functions/ It's more like SymEngine in terms of…
    comment by ChrisRackauckas · 2021-01-08 · in Doing Symbolic Math with SymPy
  7. …they always preprocess the equations to something much simpler to simulate. With Julia we have the https://github.com/SciML/ModelingToolkit.jl to bring the same kind of symbolic-numerics approaches to practice.
    comment by ChrisRackauckas · 2020-07-01 · in All about Modelica: An equation-based language for modeling physical systems
  8. …https://github.com/GiggleLiu/NiLang.jl ) (arguably not reverse mode) Symbolic: - [ModelingToolKit]( https://github.com/JuliaDiffEq/ModelingToolkit.jl ) - [XGrad.jl]( https://github.com/dfdx/XGrad.jl ) Finite Differencing: - [Calculus](…
    comment by oxinabox · 2020-04-08 · in Jax – Composable transformations of Python and NumPy programs
  9. …research scientists: https://github.com/JuliaApproximation/ApproxFun.jl https://github.com/BioJulia https://github.com/JuliaDiffEq/ModelingToolkit.jl https://github.com/crstnbr/MonteCarlo.jl https://github.com/chriselrod/LoopVectorization.j…
    comment by eigenspace · 2020-03-23 · in Julia 1.4
  10. …functions and symbolically calculates and builds the function for computing the Jacobian. Example: https://github.com/JuliaDiffEq/ModelingToolkit.jl/pull/155 The JuliaDiffEq team will be pushing symbolics for automatic transformations and…
    comment by ChrisRackauckas · 2019-08-05 · in Switching from Common Lisp to Julia (2017)