JuliaComputing / ModelingToolkitWorkshopLinks
Training materials for ModelingToolkit and JuliaSim
☆38Updated 3 years ago
Alternatives and similar repositories for ModelingToolkitWorkshop
Users that are interested in ModelingToolkitWorkshop are comparing it to the libraries listed below
Sorting:
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated 2 weeks ago
- Physics-Enhanced Regression for Initial Value Problems☆20Updated last year
- ☆36Updated 2 years ago
- Taylor-mode automatic differentiation for higher-order derivatives☆81Updated last week
- Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions☆63Updated 2 weeks ago
- No need to train, he's a smooth operator☆45Updated last month
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆71Updated 2 weeks ago
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆84Updated 3 weeks ago
- Automates steady and unsteady adjoints (general solvers and ODEs respectively). Forward and reverse mode algorithmic differentiation arou…☆29Updated last month
- Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)☆39Updated last week
- Stochastic Optimization, Learning, Uncertainty and Sampling☆89Updated last week
- Fast matrix multiplication and division for Toeplitz matrices in Julia☆73Updated last month
- Workshop materials for training in scientific computing and scientific machine learning☆39Updated 2 weeks ago
- Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)☆28Updated last week
- Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia☆28Updated this week
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆124Updated 3 weeks ago
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆31Updated last week
- The SciML Scientific Machine Learning Software Organization Website☆69Updated last week
- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia☆62Updated last week
- Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay…☆61Updated last week
- ☆47Updated 2 weeks ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆59Updated 10 months ago
- Checkpointing for Automatic Differentiation☆60Updated this week
- Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration …☆120Updated last week
- A library of noise processes for stochastic systems like stochastic differential equations (SDEs) and other systems that are present in s…☆63Updated 2 weeks ago
- Structure Preserving Machine Learning Models in Julia☆54Updated last week
- A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools☆89Updated 3 weeks ago
- FMIFlux.jl is a free-to-use software library for the Julia programming language, which offers the ability to place FMUs (fmi-standard.org…☆64Updated this week
- Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.☆22Updated last month
- Ridiculously fast symbolic expressions☆130Updated 2 weeks ago