marvinpfoertner / linpde-gpLinks
Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
☆30Updated last year
Alternatives and similar repositories for linpde-gp
Users that are interested in linpde-gp are comparing it to the libraries listed below
Sorting:
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- Matrix-free linear algebra in JAX.☆152Updated 2 weeks ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆118Updated last week
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last month
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 10 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…☆21Updated last year
- Efficient Differentiable n-d PDE solvers in JAX.☆52Updated last month
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆131Updated last year
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆40Updated 5 months ago
- ☆117Updated last week
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆67Updated 3 weeks ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆16Updated 5 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Updated 2 years ago
- Interpolation and function approximation with JAX☆234Updated this week
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆105Updated 2 years ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆289Updated last year
- Repository for the Universal Differential Equations for Scientific Machine Learning paper, describing a computational basis for high perf…☆234Updated 3 years ago
- ☆51Updated last week
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Symbolic Identification of Non-linear Dynamics. The method generalizes the SINDy algorithm by combining sparse and genetic-programming-ba…☆83Updated 3 years ago
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆60Updated 3 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Laplace approximations in JAX.☆40Updated 3 weeks ago
- Neural Emulator Architectures in JAX.☆22Updated last year
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆187Updated last year
- Automatic Differentiation Library for Computational and Mathematical Engineering☆312Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆39Updated 7 months ago
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆130Updated last week
- Bootcamp notebooks☆60Updated 4 months ago