ndcbe / cbe67701-uncertainty-quantification
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
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 3 months ago
- Introduction to declarative PDE solvers☆41Updated 3 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Applied Numerical Computing Course☆27Updated 2 years ago
- FEniCS on GPU takes advantage of CUDA cores to solve SPARSE matrix using cuPy and SciPy libraries.☆18Updated 3 years ago
- ☆14Updated 8 months ago
- Multi-fidelity reduced-order surrogate modeling☆21Updated 4 months ago
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 4 years ago
- Learn essential numerical methods for chemical engineering applications with practical Python and MATLAB examples.☆23Updated last year
- A python script to solve the Cahn-Hilliard equation using an implicit pseudospectral method☆40Updated 9 months ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆56Updated 2 years ago
- Python Library for Generalized Gaussian Process Modeling☆23Updated 3 weeks ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆93Updated 3 weeks ago
- Rheological Universal Differential Equations: scientific machine learning for modeling complex fluids☆16Updated 2 years ago
- A tutorial for students that surveys basic ML techniques in ipython notebook format.☆24Updated 5 years ago
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆57Updated this week
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- Basic numerical methods implemented in FORTRAN☆19Updated 7 years ago
- Sandia Uncertainty Quantification Toolkit☆79Updated 4 months ago
- TChem - A Software Toolkit for the Analysis of Complex Kinetic Models☆58Updated 5 months ago
- A Differentiable Reacting Flow Simulation Package in PyTorch☆51Updated 3 years ago
- GPTIPS2F: Symbolic Regression toolbox for MATLAB evolved☆11Updated 2 years ago
- Chemical kinetics with tensorflow. Use tensorflow deep learning platform to numerically calculate chemical rate equations for chemical ki…☆14Updated 3 years ago
- mechanoChemML library☆17Updated 2 years ago
- ☆19Updated 3 years ago
- Bayesian optimization based on Gaussian processes☆11Updated 2 years ago
- ☆33Updated 2 weeks ago
- Matlab codes accompanying Numerical Methods for Stochastic Partial Differential Equations with White Noise☆26Updated 7 years ago
- Multi-fidelity classification with Gaussian process☆16Updated last year