paulcon / as-data-sets
Active Subspace Data Sets
☆32Updated 7 years ago
Alternatives and similar repositories for as-data-sets:
Users that are interested in as-data-sets are comparing it to the libraries listed below
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated 3 weeks ago
- Sandia Uncertainty Quantification Toolkit☆79Updated 3 months ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆18Updated 2 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 weeks ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- ☆21Updated 4 years ago
- Python Active-subspaces Utility Library☆70Updated 4 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 6 years ago
- Multi-fidelity reduced-order surrogate modeling☆20Updated 3 months ago
- multifidelity global sensitivity analysis☆16Updated 2 years ago
- ☆62Updated 5 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆56Updated 2 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆143Updated 5 years ago
- ☆15Updated last year
- ☆47Updated 3 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- OpenCossan is an open and free toolbox for uncertainty quantification and management.☆51Updated last year
- Sparse Identification of Nonlinear Dynamics for Boundary Value Problems☆12Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆62Updated 8 years ago
- ☆24Updated 6 years ago
- The algorithmic differentation tool pyadjoint and add-ons.☆94Updated last week
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated last week
- A Python library for solving any system of hyperbolic or parabolic Partial Differential Equations. The PDEs can have stiff source terms a…☆56Updated 5 years ago
- Computation of invariant manifolds in high-dimensional mechanics problems☆23Updated last year