barkm / torch-fenicsLinks
PyTorch-FEniCS interface
☆102Updated 4 years ago
Alternatives and similar repositories for torch-fenics
Users that are interested in torch-fenics are comparing it to the libraries listed below
Sorting:
- Differentiable interface to FEniCS for JAX☆58Updated 4 years ago
- ☆34Updated 2 years ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆165Updated 3 years ago
- ☆42Updated 5 years ago
- ☆45Updated 2 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 2 months ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆147Updated 5 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- A differentiable finite element analysis solver for structural optimization based on JAX☆34Updated 3 months ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆116Updated 3 years ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆75Updated 2 weeks ago
- ☆126Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- ☆39Updated 2 weeks ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆19Updated 5 months ago
- Differentiable interface to FEniCS/Firedrake for JAX using dolfin-adjoint/pyadjoint☆103Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Solving PDEs with NNs☆55Updated 2 years ago
- The algorithmic differentation tool pyadjoint and add-ons.☆106Updated last week
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- ☆54Updated 2 years ago
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆67Updated 9 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- ☆116Updated 6 years ago
- ☆63Updated 6 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆20Updated 2 weeks ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆261Updated last week
- ☆56Updated this week