yifanc96 / GaussianProcessPDEsLinks
An integrated demo: Gaussian processes for PDEs and inverse problems
☆14Updated 4 months ago
Alternatives and similar repositories for GaussianProcessPDEs
Users that are interested in GaussianProcessPDEs are comparing it to the libraries listed below
Sorting:
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆39Updated 7 months ago
- ☆10Updated 8 months ago
- ☆41Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆14Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Stiff Neural Ordinary Differential Equations☆34Updated last year
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- ☆21Updated 4 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆39Updated 7 months ago
- ☆104Updated last week
- Material for workshop and autumn school on scientific machine learning 2023☆20Updated last year
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆55Updated 3 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆73Updated 2 weeks ago
- Code for ResDMD: data-driven spectral properties of Koopman Operators☆38Updated last year
- ☆41Updated 5 years ago
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆21Updated last year
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆29Updated 2 years ago
- Two Dimensional Fokker-Planck Solver using Matlab☆19Updated 5 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆19Updated 7 months ago
- ☆26Updated 10 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆26Updated last year
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 2 months ago
- Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.☆17Updated 11 months ago
- Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks☆56Updated 2 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆24Updated last week
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆72Updated last month
- Differentiable interface to FEniCS for JAX☆54Updated 4 years ago