timweiland / gp-fvmLinks
Probabilistic Finite Volume Method based on Affine Gaussian Process inference
☆10Updated last year
Alternatives and similar repositories for gp-fvm
Users that are interested in gp-fvm are comparing it to the libraries listed below
Sorting:
- Efficient SDE samplers including Gaussian-based probabilistic solvers. Written in JAX.☆10Updated 4 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 11 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆49Updated 2 months ago
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆34Updated 2 years ago
- Gaussian processes with spherical harmonic features in JAX☆15Updated last year
- Efficient Differentiable n-d PDE solvers in JAX.☆40Updated 7 months ago
- ☆10Updated 3 years ago
- Autoencoders in Function Space: Resolution-invariant autoencoders for functional data based on the functional variational autoencoder (FV…☆14Updated 6 months ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 2 years ago
- This code accompanies the manuscript "A Generative Framework for Probabilistic, Spatiotemporally Coherent Downscaling of Climate Simulati…☆20Updated 4 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆25Updated 3 weeks ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆75Updated last month
- ☆29Updated 2 years ago
- Gradient-informed particle MCMC methods☆12Updated last year
- [TMLR 2022] Curvature access through the generalized Gauss-Newton's low-rank structure: Eigenvalues, eigenvectors, directional derivative…☆17Updated last year
- An ultra-lightweight JAX implementation of sparse Gaussian processes via pathwise sampling.☆22Updated 4 years ago
- A generic library for linear and non-linear Gaussian smoothing problems. The code leverages JAX and implements several linearization algo…☆12Updated 6 months ago
- Methods and experiments for assumed density SDE approximations☆12Updated 3 years ago
- Neural Emulator Architectures in JAX.☆16Updated 7 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Literature and light wrappers for gaussian process models.☆47Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated 11 months ago
- Chirp instantaneous frequency estimation using stochastic differential equation Gaussian processes☆12Updated 7 months ago
- Matrix-free linear algebra in JAX.☆125Updated last month
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆41Updated 2 years ago
- Public code for running Stochastic Gradient Descent on GPs.☆38Updated 2 months ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated 5 months ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated last year