google / data-driven-discretization-1dLinks
Code for "Learning data-driven discretizations for partial differential equations"
☆168Updated 2 months ago
Alternatives and similar repositories for data-driven-discretization-1d
Users that are interested in data-driven-discretization-1d are comparing it to the libraries listed below
Sorting:
- ☆195Updated 4 years ago
- Hidden physics models: Machine learning of nonlinear partial differential equations☆147Updated 5 years ago
- ☆269Updated 3 years ago
- ☆116Updated 6 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆282Updated 3 years 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
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆158Updated 10 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆63Updated 6 years ago
- PyTorch-FEniCS interface☆103Updated 4 years ago
- Solving PDEs with NNs☆55Updated 2 years ago
- Spectral Navier Stokes (and similar) solvers in Python☆337Updated 2 years ago
- Forward-Backward Stochastic Neural Networks: Deep Learning of High-dimensional Partial Differential Equations☆156Updated 5 years ago
- A Tensorflow re-implementation of the paper Convolutional Neural Networks for Steady Flow Approximation☆167Updated 7 years ago
- Sandia Uncertainty Quantification Toolkit☆84Updated 10 months ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆75Updated 3 weeks ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- Turbulent flow network source code☆70Updated 8 months ago
- A list of papers relating Computational Physics and Machine Learning☆142Updated 6 years ago
- ☆54Updated 2 years ago
- Immersed Boundary Projection Method☆118Updated 5 years ago
- High performance computational platform in Python for the spectral Galerkin method☆222Updated last week
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆88Updated 4 years ago
- Easy Reduced Basis method☆89Updated last week
- flowTorch - a Python library for analysis and reduced-order modeling of fluid flows☆160Updated this week
- A pyTorch Extension for Applied Mathematics☆40Updated 5 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆107Updated 5 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆150Updated 6 years ago