ndcbe / cbe67701-uncertainty-quantificationLinks
Summer 2020 reading group on uncertainty quantification
☆22Updated 4 years ago
Alternatives and similar repositories for cbe67701-uncertainty-quantification
Users that are interested in cbe67701-uncertainty-quantification are comparing it to the libraries listed below
Sorting:
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 5 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago
- Rheological Universal Differential Equations: scientific machine learning for modeling complex fluids☆18Updated 2 years ago
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆47Updated 11 months ago
- Simple matlab FEM code for 2-d poisson equation☆16Updated last year
- ☆15Updated 10 months ago
- ☆54Updated 2 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆59Updated 3 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last week
- Sandia Uncertainty Quantification Toolkit☆80Updated 6 months ago
- ☆35Updated this week
- Introduction to declarative PDE solvers☆41Updated 3 years ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆49Updated 2 years ago
- ME 539 - Introduction to Scientific Machine Learning☆121Updated 2 months ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆15Updated 3 years ago
- Applied Numerical Computing Course☆29Updated last month
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Python Library for Generalized Gaussian Process Modeling☆24Updated 2 months ago
- Stiff Neural Ordinary Differential Equations☆34Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆73Updated last week
- Easy Reduced Basis method☆85Updated 3 months ago
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆62Updated last week
- mechanoChemML library☆17Updated 2 years ago
- Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise☆26Updated 7 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆56Updated 3 years ago
- ☆10Updated 3 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago