IvanYashchuk / jax-fenics-adjointLinks
Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint
☆98Updated last year
Alternatives and similar repositories for jax-fenics-adjoint
Users that are interested in jax-fenics-adjoint are comparing it to the libraries listed below
Sorting:
- Differentiable interface to FEniCS for JAX☆57Updated 4 years ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆130Updated 11 months ago
- PyTorch-FEniCS interface☆101Updated 4 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆47Updated 9 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆71Updated 7 months ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆64Updated 2 months ago
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated last year
- Neural reparameterization improves structural optimization☆123Updated 4 years ago
- Auto-differentiable and hardware-accelerated force density method☆93Updated 2 weeks ago
- JAX-DIPS is a differentiable interfacial PDE solver.☆46Updated 11 months ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆65Updated 7 months ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆161Updated 2 years ago
- The algorithmic differentation tool pyadjoint and add-ons.☆104Updated last week
- Intuitive scientific computing with dimension types for Jax, PyTorch, TensorFlow & NumPy☆90Updated 2 weeks ago
- Tensor decomposition with arbitrary expressions: inner, outer, elementwise operators; nonlinear transformations; and more.☆58Updated 2 years ago
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- 18.336 - Fast Methods for Partial Differential and Integral Equations☆185Updated last year
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆54Updated 11 months ago
- Datasets and code for results presented in the ProbConserv paper☆53Updated last year
- Turning SymPy expressions into PyTorch modules.☆149Updated 2 years ago
- ☆73Updated 4 years ago
- A LinearOperator implementation to wrap the numerical nuts and bolts of GPyTorch☆112Updated 5 months ago
- Solve sparse linear systems in JAX using the KLU algorithm☆36Updated 3 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- Matrix-free linear algebra in JAX.☆138Updated this week
- Spectral Neural Operator☆78Updated last year
- An unofficial implementation of the Fourier Neural Operator in Flax☆18Updated last year
- Differentiable interface to FEniCS for PyMC3☆20Updated 2 years ago