Ceyron / exponax
Efficient Differentiable n-d PDE solvers in JAX.
☆27Updated 4 months ago
Alternatives and similar repositories for exponax:
Users that are interested in exponax are comparing it to the libraries listed below
- Neural Emulator Architectures in JAX.☆16Updated 4 months 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
- An unofficial implementation of the Fourier Neural Operator in Flax☆17Updated 9 months ago
- AL4PDE: A Benchmark for Active Learning for Neural PDE Solvers☆19Updated 3 weeks ago
- Spectral Neural Operator☆75Updated last year
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- ☆16Updated 2 months ago
- Pseudospectral Kolmogorov Flow Solver☆37Updated last year
- ☆39Updated 2 years ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆41Updated 2 weeks ago
- Convolutional Differential Operators for Physics-based Deep Learning Study☆24Updated 7 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆49Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆37Updated last year
- Practicum on Supervised Learning in Function Spaces☆32Updated 3 years ago
- Probabilistic ODE solvers are fun, but are they fast? See also: https://github.com/pnkraemer/probdiffeq for JAX code or https://github.c…☆20Updated 8 months ago
- Code of ICML paper arxiv.org/abs/2302.08105☆14Updated last year
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆24Updated 10 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆59Updated 2 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆123Updated 6 months ago
- Finite difference tools in JAX☆17Updated last year
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆55Updated 3 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆70Updated 10 months ago
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- ☆10Updated 3 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆93Updated last year
- A software package for flexible HPC GPs☆16Updated 3 weeks ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆20Updated 7 months ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆18Updated 9 months ago
- Datasets and code for results presented in the ProbConserv paper☆53Updated 9 months ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆36Updated 5 months ago