timweiland / gp-fvmLinks
Probabilistic Finite Volume Method based on Affine Gaussian Process inference
☆11Updated 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 10 months ago
- Gaussian processes with spherical harmonic features in JAX☆15Updated 4 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated last month
- Probabilistic numerical finite differences. Compute finite difference weights and differentiation matrices on scattered data sites and wi…☆11Updated 2 years ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆31Updated last year
- 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
- ☆10Updated 3 years ago
- Tutorial materials of the Probabilistic Numerics Spring School.☆35Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆92Updated last month
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆56Updated 2 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆52Updated 2 months ago
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆94Updated this week
- The ✨Magical✨ JAX ML Library.☆18Updated 11 months ago
- A repository with implementations of major papers on Gaussian Process regression models, implemented from scratch in Python, notably incl…☆14Updated 3 years ago
- Literature and light wrappers for gaussian process models.☆47Updated 4 years ago
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆28Updated 7 months ago
- IterGP: Computation-Aware Gaussian Process Inference (NeurIPS 2022)☆43Updated 2 years ago
- Python package 'dgpsi' for deep and linked Gaussian process emulations☆28Updated last month
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Code repository for paper: An ensemble score filter for tracking high-dimensional nonlinear dynamical systems☆20Updated last year
- Neural Emulator Architectures in JAX.☆23Updated last year
- Code accompanying the NeurIPS 2021 Paper: A Probabilistic State Space Model for Joint Inference from Differential Equations and Data (Sch…☆13Updated 3 years ago
- ☆35Updated 2 years ago
- An unofficial implementation of the Fourier Neural Operator in Flax☆19Updated last year
- Convolutional Differential Operators for Physics-based Deep Learning Study☆25Updated last year
- Example code to speed up GP inference with gradients for high-dimensional inputs.☆14Updated 4 years ago
- A Tensorflow based library for Time Series Modelling with Gaussian Processes☆32Updated last year
- ☆38Updated 4 years ago
- Spectral Neural Operator☆78Updated 2 years ago