mfschubert / sparsejac
Efficient forward- and reverse-mode sparse Jacobians using Jax
☆55Updated 3 months ago
Alternatives and similar repositories for sparsejac:
Users that are interested in sparsejac are comparing it to the libraries listed below
- Solve sparse linear systems in JAX using the KLU algorithm☆34Updated 2 weeks ago
- Differentiable interface to FEniCS for JAX☆53Updated 3 years ago
- Numerical quadrature with JAX☆53Updated this week
- Interpolation and function approximation with JAX☆164Updated this week
- Efficient Differentiable n-d PDE solvers in JAX.☆25Updated 4 months ago
- An integrated demo: Gaussian processes for PDEs and inverse problems☆13Updated 2 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆93Updated last year
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆24Updated 10 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆41Updated 2 weeks ago
- ☆12Updated 6 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…☆20Updated 8 months ago
- A differentiable finite element analysis solver for structural optimization based on JAX☆26Updated 5 months ago
- Neural Emulator Architectures in JAX.☆16Updated 4 months ago
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆89Updated 2 weeks ago
- ☆34Updated last year
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Updated 2 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆124Updated 6 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆63Updated 4 months ago
- Code for the paper: Solving and Learning Nonlinear PDEs with Gaussian Processes☆36Updated 4 months ago
- Turning SymPy expressions into JAX functions☆44Updated 4 years ago
- Differentiable interface to Firedrake for JAX☆14Updated 4 years ago
- Matrix-free linear algebra in JAX.☆116Updated 2 months ago
- Orthogonal polynomials with JAX☆15Updated this week
- Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS☆15Updated last year
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- ☆48Updated this week
- Example code for paper: Automatic Differentiation to Simultaneously Identify Nonlinear Dynamics and Extract Noise Probability Distributio…☆54Updated 2 years ago
- H2 Matrix Package☆29Updated last year
- Bilinear interpolation on grids with jax☆14Updated 2 years ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆37Updated last year