JuliaComputing / ModelingToolkitWorkshopLinks
Training materials for ModelingToolkit and JuliaSim
☆38Updated 2 years ago
Alternatives and similar repositories for ModelingToolkitWorkshop
Users that are interested in ModelingToolkitWorkshop are comparing it to the libraries listed below
Sorting:
- No need to train, he's a smooth operator☆45Updated this week
- ☆36Updated last year
- Physics-Enhanced Regression for Initial Value Problems☆20Updated last year
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated last week
- Taylor-mode automatic differentiation for higher-order derivatives☆79Updated 2 weeks ago
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆80Updated last week
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆69Updated last week
- Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions☆60Updated last week
- Automates steady and unsteady adjoints (general solvers and ODEs respectively). Forward and reverse mode algorithmic differentiation arou…☆28Updated 2 weeks ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆58Updated 4 months ago
- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia☆58Updated last week
- Fast matrix multiplication and division for Toeplitz matrices in Julia☆71Updated 8 months ago
- Workshop materials for training in scientific computing and scientific machine learning☆39Updated last week
- Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia☆27Updated last week
- Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration …☆115Updated this week
- Tools to generate and study moment equations for any chemical reaction network using various moment closure approximations☆45Updated this week
- Global documentation for the Julia SciML Scientific Machine Learning Organization☆74Updated last week
- A library of premade problems for examples and testing differential equation solvers and other SciML scientific machine learning tools☆76Updated this week
- Checkpointing for Automatic Differentiation☆56Updated this week
- Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)☆32Updated this week
- Structure Preserving Machine Learning Models in Julia☆50Updated this week
- Ridiculously fast symbolic expressions☆120Updated last week
- Implicit Runge-Kutta Gauss-Legendre 16th order (Julia)☆28Updated last week
- learning state-space targets in dynamical systems☆28Updated last year
- Fast and automatic structural identifiability software for ODE systems☆123Updated this week
- Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay…☆61Updated this week
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆123Updated last week
- Stochastic Optimization, Learning, Uncertainty and Sampling☆88Updated 2 weeks ago
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆28Updated 3 weeks ago
- Comparsion of Julia's GPU Kernel based ODE solvers with other open-source GPU ODE solvers☆26Updated last year