maziarraissi / NumericalGPLinks
Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations
☆69Updated 5 years ago
Alternatives and similar repositories for NumericalGP
Users that are interested in NumericalGP are comparing it to the libraries listed below
Sorting:
- Hidden physics models: Machine learning of nonlinear partial differential equations☆145Updated 5 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 7 years ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆57Updated 4 years ago
- Multistep Neural Networks for Data-driven Discovery of Nonlinear Dynamical Systems☆63Updated 5 years ago
- ☆116Updated 5 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated last week
- ☆63Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 3 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- ATHENA: Advanced Techniques for High dimensional parameter spaces to Enhance Numerical Analysis☆54Updated 2 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- A library of tools for computing variants of Dynamic Mode Decomposition☆48Updated 8 years ago
- ☆25Updated 7 years ago
- ☆41Updated 5 years ago
- Tutorial on Gaussian Processes☆62Updated 5 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 3 months ago
- ☆54Updated 2 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆67Updated 8 years ago
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆20Updated 2 years ago
- Tutorial on a number of topics in Deep Learning☆35Updated 5 years ago
- Easy Reduced Basis method☆85Updated 2 weeks ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆20Updated 9 months ago
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Interpretable machine learning (symbolic regression) using Genetic programming/Gene expression programming and Sparse regression used …☆33Updated 4 years ago
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- ☆21Updated 4 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