IvanYashchuk / jax-fenics
Differentiable interface to FEniCS for JAX
☆53Updated 3 years ago
Alternatives and similar repositories for jax-fenics:
Users that are interested in jax-fenics are comparing it to the libraries listed below
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆94Updated last year
- A JAX-based research framework for writing differentiable numerical simulators with arbitrary discretizations☆125Updated 7 months ago
- Efficient forward- and reverse-mode sparse Jacobians using Jax☆55Updated 5 months ago
- PyTorch-FEniCS interface☆100Updated 4 years ago
- Efficient Differentiable n-d PDE solvers in JAX.☆28Updated 6 months ago
- PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.☆48Updated 7 months ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆83Updated 3 years ago
- The algorithmic differentation tool pyadjoint and add-ons.☆95Updated last week
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- Turning SymPy expressions into JAX functions☆45Updated 4 years ago
- JAX-DIPS is a differentiable interfacial PDE solver.☆41Updated 7 months ago
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- ☆17Updated 4 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
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆69Updated 5 months ago
- Pseudospectral Kolmogorov Flow Solver☆38Updated last year
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆63Updated 3 months ago
- ☆52Updated this week
- Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations wi…☆69Updated 11 months ago
- A Python library for training neural ODEs.☆21Updated 2 months ago
- ☆32Updated 9 months ago
- Datasets and code for results presented in the ProbConserv paper☆53Updated 10 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated last month
- Practicum on Supervised Learning in Function Spaces☆33Updated 3 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆37Updated 2 years ago
- Analysis of initial value ODE solvers☆82Updated 8 months ago
- ☆26Updated 9 months ago
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆41Updated last year
- Learning Green's functions of partial differential equations with deep learning.☆66Updated last year