yifanc96 / NonLinPDEs-GPsolver
Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
☆33Updated 3 weeks ago
Related projects ⓘ
Alternatives and complementary repositories for NonLinPDEs-GPsolver
- ☆37Updated last year
- An integrated demo: Gaussian processes for PDEs and inverse problems☆13Updated 5 months ago
- ☆89Updated this week
- Practicum on Supervised Learning in Function Spaces☆33Updated 2 years ago
- ☆39Updated 4 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆18Updated 10 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆21Updated 6 months 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
- ☆19Updated 4 months ago
- A Python module that implements tools for the simulation and identification of random fields using the Karhunen-Loeve expansion represent…☆20Updated 8 years ago
- Pseudospectral Kolmogorov Flow Solver☆34Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 5 months ago
- Spectral Neural Operator☆73Updated 11 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆16Updated 5 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆33Updated 9 months ago
- The public repository about our joint FINN research project☆36Updated 2 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆18Updated 5 years ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆56Updated 2 years ago
- Example problems in Physics informed neural network in JAX☆76Updated last year
- DeepONet extrapolation☆24Updated last year
- Material for workshop and autumn school on scientific machine learning 2023☆19Updated 11 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆36Updated 3 months ago
- Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆20Updated last month
- PyTorch-FEniCS interface☆97Updated 3 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆23Updated 11 months ago
- ☆45Updated this week
- Differentiable interface to FEniCS for JAX☆50Updated 3 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆16Updated 5 months ago