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:
- Physics-Enhanced Regression for Initial Value Problems☆20Updated last year
- ☆36Updated 2 years ago
- No need to train, he's a smooth operator☆45Updated 2 weeks ago
- A library of systems of partial differential equations, as defined with ModelingToolkit.jl in Julia☆28Updated 2 weeks ago
- Taylor-mode automatic differentiation for higher-order derivatives☆81Updated last week
- Workshop materials for training in scientific computing and scientific machine learning☆39Updated 2 weeks ago
- Fast uncertainty quantification for scientific machine learning (SciML) and differential equations☆71Updated last week
- Easy scientific machine learning (SciML) parameter estimation with pre-built loss functions☆62Updated last week
- Stochastic Optimization, Learning, Uncertainty and Sampling☆88Updated this week
- Symbolic-Numeric Neural DAEs and Universal Differential Equations for Automating Scientific Machine Learning (SciML)☆37Updated last week
- ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE models given measurement data.☆30Updated last week
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆59Updated 8 months ago
- The SciML Scientific Machine Learning Software Organization Website☆66Updated last week
- Fast matrix multiplication and division for Toeplitz matrices in Julia☆73Updated 2 weeks ago
- Robust, Fast, and Parallel Global Sensitivity Analysis (GSA) in Julia☆61Updated this week
- ☆20Updated 3 weeks ago
- ☆31Updated 3 years ago
- Ridiculously fast symbolic expressions☆128Updated 2 months ago
- A Julia package to construct orthogonal polynomials, their quadrature rules, and use it with polynomial chaos expansions.☆124Updated 2 weeks ago
- Checkpointing for Automatic Differentiation☆60Updated this week
- Machine learning from scratch in Julia☆33Updated 9 months ago
- A Julia package for Deep Backwards Stochastic Differential Equation (Deep BSDE) and Feynman-Kac methods to solve high-dimensional PDEs wi…☆83Updated last week
- A package for multi-dimensional integration using monte carlo methods☆40Updated last year
- Uncertainty Quantification in Julia☆53Updated this week
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated last week
- Implementations of Infinitesimal Continuous Normalizing Flows Algorithms in Julia☆28Updated last week
- Automates steady and unsteady adjoints (general solvers and ODEs respectively). Forward and reverse mode algorithmic differentiation arou…☆29Updated last week
- Structure Preserving Machine Learning Models in Julia☆54Updated last month
- Delay differential equation (DDE) solvers in Julia for the SciML scientific machine learning ecosystem. Covers neutral and retarded delay…☆61Updated this week
- Lightweight and easy generation of quasi-Monte Carlo sequences with a ton of different methods on one API for easy parameter exploration …☆117Updated last week