mfschubert / sparsejacLinks
Efficient forward- and reverse-mode sparse Jacobians using Jax
☆64Updated 2 weeks ago
Alternatives and similar repositories for sparsejac
Users that are interested in sparsejac are comparing it to the libraries listed below
Sorting:
- Efficient Differentiable n-d PDE solvers in JAX.☆47Updated 10 months ago
- Solve sparse linear systems in JAX using the KLU algorithm☆36Updated 4 months ago
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- Numerical quadrature with JAX☆69Updated last week
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆129Updated 11 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆101Updated last year
- Interpolation and function approximation with JAX☆215Updated last week
- Orthogonal polynomials with JAX☆26Updated last week
- Neural Emulator Architectures in JAX.☆18Updated 10 months ago
- Rescure useful code in TensorNetwork by google for further personal usage.☆12Updated 9 months ago
- Matrix-free linear algebra in JAX.☆140Updated 3 weeks ago
- Bilinear interpolation on grids with jax☆15Updated 3 years ago
- Jax wrapper for autograd-differentiable functions☆11Updated 2 weeks 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 last year
- A library to define abstract linear operators, and associated algebra and matrix-free algorithms, that works with pyTorch Tensors.☆14Updated 7 months ago
- JAX bindings to the Flatiron Institute Non-uniform Fast Fourier Transform (FINUFFT) library☆100Updated last week
- Finite difference tools in JAX☆22Updated last year
- Bind any function written in another language to JAX with support for JVP/VJP/batching/jit compilation☆73Updated 4 months ago
- Code for the Paper "Physics-Informed Gaussian Process Regression Generalizes Linear PDE Solvers"☆30Updated last year
- A differentiable finite element analysis solver for structural optimization based on JAX☆32Updated 2 months ago
- Probabilistic solvers for differential equations in JAX. Adaptive ODE solvers with calibration, state-space model factorisations, and cus…☆53Updated this week
- A shape optimisation toolbox built on the Firedrake finite element library.☆28Updated last month
- An integrated demo: Gaussian processes for PDEs and inverse problems☆14Updated last month
- Automatic Differentiation for Solid Mechanics☆56Updated last week
- Universal, autodiff-native software components for Simulation Intelligence. 📦☆70Updated last week
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆85Updated 4 years ago
- ☆33Updated 4 years ago
- The algorithmic differentation tool pyadjoint and add-ons.☆104Updated this week
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- A Python implementation of Chebfun☆142Updated last week