Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"
☆33Apr 26, 2024Updated 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:
- Probabilistic Finite Volume Method based on Affine Gaussian Process inference☆11Jun 10, 2024Updated last year
- Computation-Aware Kalman Filtering and RTS Smoothing☆19Mar 6, 2025Updated last year
- Bayesian inference on spatial and spatiotemporal data, faster than you can say "Cholesky!"☆12Updated this week
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Apr 12, 2023Updated 2 years ago
- Machine learning of linear differential equations using Gaussian processes☆26May 2, 2018Updated 7 years ago
- Machine Learning for Hidden Physics and Partial Differential Equations☆10Jun 5, 2019Updated 6 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆35May 10, 2023Updated 2 years ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆12May 8, 2023Updated 2 years ago
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Nov 7, 2022Updated 3 years ago
- A package for computing matrix exponentials and finite horizon Gramians☆11Jan 21, 2026Updated 2 months ago
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆36Jul 21, 2025Updated 8 months ago
- Laplace approximations in JAX.☆44Updated this week
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Jul 20, 2024Updated last year
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Feb 8, 2025Updated last year
- Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing☆131Mar 12, 2026Updated last week
- ☆15Oct 18, 2024Updated last year
- Machine learning Calabi-Yau metrics with JAX☆18Jul 12, 2023Updated 2 years ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆41Jul 17, 2025Updated 8 months ago
- Probabilistic Numerics in Python.☆459Jul 3, 2025Updated 8 months ago
- PyTorch linear operators for curvature matrices (Hessian, Fisher/GGN, KFAC, ...)☆63Updated this week
- Repository of the journal club "Diffusion Models and Generative Modeling"☆17Nov 20, 2024Updated last year
- A Julia implementation of sparse Gaussian processes via path-wise doubly stochastic variational inference.☆33Aug 27, 2020Updated 5 years ago
- Sketched linear operations for PyTorch☆101Oct 24, 2025Updated 4 months ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆123Mar 4, 2026Updated 2 weeks ago
- ☆17Sep 3, 2024Updated last year
- Structured Prediction with Deep Value Networks (PyTorch implementation)☆13Jul 25, 2024Updated last year
- My code repo for random-walks.org☆16Feb 1, 2026Updated last month
- Notes for the Numerics of Machine Learning Lecture Course at the University of Tübingen☆226Mar 29, 2024Updated last year
- Heterogeneous Multi-output Gaussian Processes☆54May 4, 2020Updated 5 years ago
- Bayes-Newton—A Gaussian process library in JAX, with a unifying view of approximate Bayesian inference as variants of Newton's method.☆242Dec 22, 2023Updated 2 years ago
- Approximations for Gaussian processes: sparse variational inducing point approximations, Laplace approximation, ...☆37Mar 15, 2026Updated last week
- Notebooks accompanying the paper on GPR in materials and molecules in Chemical Reviews 2020☆12May 4, 2021Updated 4 years ago
- ☆31Sep 17, 2024Updated last year
- Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks☆21Jun 29, 2025Updated 8 months ago
- Instructions and examples to deploy some PyTorch code on slurm using a Singularity Container☆33Mar 21, 2023Updated 3 years ago
- 👻 Use Neovim to write in your browser. Everything you type in Neovim will be instantly updated in the browser (and vice versa).☆12May 1, 2025Updated 10 months ago
- Unifying sparse approximations for Gaussian process regression and classification, using Power EP☆22Oct 17, 2016Updated 9 years ago
- Neural compression algorithm run entirely on the web.☆17Apr 27, 2022Updated 3 years ago
- Know Your Boundaries: Constraining Gaussian Processes by Variational Harmonic Features☆24Apr 20, 2019Updated 6 years ago