paulcon / as-data-setsLinks
Active Subspace Data Sets
☆32Updated 8 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
Sorting:
- ☆21Updated 4 years ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 4 months ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated last month
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Python Active-subspaces Utility Library☆73Updated 4 years ago
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- multifidelity global sensitivity analysis☆16Updated 2 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆31Updated 2 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- ☆13Updated 5 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆55Updated 3 years ago
- ☆63Updated 5 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆59Updated 3 years ago
- A Python module that implements tools for the simulation and identification of random fields using the Karhunen-Loeve expansion represent…☆23Updated 8 years ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆95Updated 2 weeks ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- OpenCossan is an open and free toolbox for uncertainty quantification and management.☆53Updated 2 years ago
- Sandia Uncertainty Quantification Toolkit☆80Updated 5 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 months ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- ☆17Updated 5 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.☆62Updated this week
- ☆41Updated 5 years ago
- Sparse Identification of Nonlinear Dynamics for Hybrid Systems☆24Updated 6 years ago
- ☆47Updated last year
- GPTIPS2F: Symbolic Regression toolbox for MATLAB evolved☆11Updated 2 years ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year