mfschubert / sparsejac
Efficient forward- and reverse-mode sparse Jacobians using Jax
☆55Updated 2 months ago
Alternatives and similar repositories for sparsejac:
Users that are interested in sparsejac are comparing it to the libraries listed below
- Differentiable interface to FEniCS for JAX☆52Updated 3 years ago
- Solve sparse linear systems in JAX using the KLU algorithm☆34Updated 3 months ago
- A differentiable finite element analysis solver for structural optimization based on JAX☆24Updated 4 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆93Updated last year
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆41Updated 3 months ago
- Numerical quadrature with JAX☆53Updated last week
- Efficient Differentiable n-d PDE solvers in JAX.☆24Updated 3 months ago
- Neural Emulator Architectures in JAX.☆16Updated 3 months ago
- Interpolation and function approximation with JAX☆157Updated this week
- An integrated demo: Gaussian processes for PDEs and inverse problems☆13Updated last month
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆123Updated 4 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆25Updated 9 months ago
- ☆34Updated last year
- Bilinear interpolation on grids with jax☆14Updated 2 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 6 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆59Updated 3 months ago
- Easy interoperability with Automatic Differentiation libraries through NumPy interface to Firedrake and FEniCS☆15Updated last year
- Automatic Differentiation for Solid Mechanics☆54Updated 2 months ago
- computational adjoint-based shape optimization and optimal control software for python☆56Updated this week
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆104Updated 2 weeks ago
- Turning SymPy expressions into JAX functions☆43Updated 3 years ago
- ME 697 - Advanced Scientific Machine Learning☆20Updated this week
- PyTorch-FEniCS interface☆99Updated 3 years ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆83Updated 3 years ago
- Fast extremal eigensolvers for PyTorch.☆17Updated 3 years ago
- ☆12Updated 5 months ago
- Monotone Parameterization Toolkit (MParT): A core library for constructing and using transport maps.☆14Updated 7 months ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆37Updated 5 months ago
- H2 Matrix Package☆26Updated last year
- A fast direct solver for surface PDEs☆16Updated 8 months ago