IvanYashchuk / jax-fenics
Differentiable interface to FEniCS for JAX
☆50Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for jax-fenics
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆89Updated 11 months ago
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆120Updated last month
- PyTorch-FEniCS interface☆97Updated 3 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆18Updated 10 months ago
- The algorithmic differentation tool pyadjoint and add-ons.☆91Updated this week
- JAX-DIPS is a differentiable interfacial PDE solver.☆40Updated last month
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆16Updated this week
- Pseudospectral Kolmogorov Flow Solver☆34Updated last year
- ☆37Updated last year
- A Python library for training neural ODEs.☆19Updated last month
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆66Updated 4 years ago
- Stiff Neural Ordinary Differential Equations☆30Updated last year
- Analysis of initial value ODE solvers☆78Updated 2 months ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆47Updated 8 months ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆80Updated 3 years ago
- ☆38Updated 4 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Practicum on Supervised Learning in Function Spaces☆32Updated 2 years ago
- ☆19Updated 4 months ago
- ☆34Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆59Updated 7 months ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆23Updated last year
- Update PDEKoopman code to Tensorflow 2☆22Updated 3 years ago
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆17Updated 3 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆36Updated 3 months ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆57Updated 4 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆51Updated 2 months ago
- Distributed Fourier Neural Operators☆28Updated 2 years ago
- Learning Green's functions of partial differential equations with deep learning.☆63Updated 10 months ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆24Updated last month