sandialabs / pyapprox
Flexible and efficient tools for high-dimensional approximation, scientific machine learning and uncertainty quantification.
☆58Updated last week
Alternatives and similar repositories for pyapprox
Users that are interested in pyapprox are comparing it to the libraries listed below
Sorting:
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆68Updated 4 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated last month
- Easy Reduced Basis method☆85Updated 2 months ago
- Sandia Uncertainty Quantification Toolkit☆80Updated 4 months ago
- The VECMA toolkit for creating surrogate models of multiscale systems.☆19Updated 4 months ago
- ☆41Updated 5 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
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆55Updated 2 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- A Sensitivity and uncertainty analysis toolbox for Python based on the generalized polynomial chaos method☆80Updated last month
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated last month
- Python Active-subspaces Utility Library☆72Updated 4 years ago
- Python 3 framework to facilitate verification, validation and uncertainty quantification (VVUQ) for a wide variety of simulations.☆94Updated 3 weeks 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
- Pseudospectral Kolmogorov Flow Solver☆39Updated last year
- Multi-fidelity reduced-order surrogate modeling☆22Updated 2 weeks ago
- ☆62Updated 5 years ago
- Multi Fidelity Monte Carlo☆25Updated 5 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆48Updated 4 years ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆52Updated last year
- ☆52Updated 2 years ago
- The algorithmic differentation tool pyadjoint and add-ons.☆96Updated last week
- Hidden physics models: Machine learning of nonlinear partial differential equations☆145Updated 5 years ago
- ☆48Updated 3 years ago
- Active Subspace Data Sets☆32Updated 8 years ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- ☆34Updated 3 weeks ago