yifanc96 / NonLinPDEs-GPsolver
Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes
☆36Updated 5 months ago
Alternatives and similar repositories for NonLinPDEs-GPsolver:
Users that are interested in NonLinPDEs-GPsolver are comparing it to the libraries listed below
- ☆39Updated 2 years ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆13Updated 2 months ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 3 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆64Updated 4 months ago
- ☆41Updated 4 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆18Updated 9 months ago
- ☆101Updated this week
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆24Updated 10 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆19Updated 3 weeks ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated this week
- Spectral Neural Operator☆75Updated last year
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆20Updated 2 years ago
- ☆23Updated 8 months ago
- ☆16Updated 2 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…☆18Updated 5 months ago
- Efficient Differentiable n-d PDE solvers in JAX.☆27Updated 4 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆37Updated last year
- Material for workshop and autumn school on scientific machine learning 2023☆19Updated last year
- Example problems in Physics informed neural network in JAX☆78Updated last year
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆14Updated last year
- ☆14Updated 3 years ago
- ☆15Updated 7 months ago
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆13Updated 9 months ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆40Updated 6 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆22Updated this week
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated 9 months ago