yifanc96 / GaussianProcessPDEs
An integrated demo: Gaussian processes for PDEs and inverse problems
☆13Updated 5 months ago
Related projects ⓘ
Alternatives and complementary repositories for GaussianProcessPDEs
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆33Updated 3 weeks ago
- ☆37Updated last year
- Practicum on Supervised Learning in Function Spaces☆33Updated 2 years ago
- ☆19Updated 4 months ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆11Updated last year
- Stiff Neural Ordinary Differential Equations☆30Updated last year
- Material for workshop and autumn school on scientific machine learning 2023☆19Updated 11 months ago
- Pseudospectral Kolmogorov Flow Solver☆34Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆18Updated 10 months ago
- Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.☆13Updated 5 months ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 4 months ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆52Updated 2 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆16Updated 5 months ago
- ☆21Updated 4 years ago
- ☆10Updated last year
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆47Updated 9 months ago
- Differentiable interface to FEniCS for JAX☆50Updated 3 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…☆11Updated 3 weeks ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆21Updated 6 months ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆18Updated 5 years ago
- ☆45Updated this week
- Update PDEKoopman code to Tensorflow 2☆22Updated 3 years ago
- ☆89Updated this week
- ☆36Updated 3 years ago
- ☆11Updated 3 weeks ago
- Sparsity-promoting Kernel Dynamic Mode Decomposition for Nonlinear Dynamical Systems☆28Updated 2 years ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆33Updated 9 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆66Updated 4 years ago
- Spectral Neural Operator☆73Updated 11 months ago