google-research / data-driven-advectionLinks
☆196Updated 4 years ago
Alternatives and similar repositories for data-driven-advection
Users that are interested in data-driven-advection are comparing it to the libraries listed below
Sorting:
- Code for "Learning data-driven discretizations for partial differential equations"☆167Updated 4 months ago
- Spectral Navier Stokes (and similar) solvers in Python☆342Updated 2 years ago
- ☆118Updated 6 years ago
- Deep Hidden Physics Models: Deep Learning of Nonlinear Partial Differential Equations☆284Updated 3 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆158Updated last year
- Hidden physics models: Machine learning of nonlinear partial differential equations☆149Updated 5 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆117Updated 3 years ago
- High performance computational platform in Python for the spectral Galerkin method☆223Updated last month
- Solving PDEs with NNs☆55Updated 3 years ago
- PyTorch-FEniCS interface☆104Updated 4 years ago
- A list of papers relating Computational Physics and Machine Learning☆142Updated 7 years ago
- ☆274Updated 3 years ago
- Code for the FiniteNet ICML Paper☆18Updated 5 years ago
- Bootcamp notebooks☆62Updated 5 months ago
- Solver-in-the-Loop: Learning from Differentiable Physics to Interact with Iterative PDE-Solvers☆169Updated 3 years ago
- MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution☆108Updated 4 years ago
- Simple OOP Python Code to run some Pseudo-Spectral 2D Simulations of Turbulence☆70Updated 2 years ago
- Simple one-dimensional examples of various hydrodynamics techniques☆121Updated 4 years ago
- PyDEns is a framework for solving Ordinary and Partial Differential Equations (ODEs & PDEs) using neural networks☆312Updated last year
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 4 months ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- PDE-Net: Learning PDEs from Data☆328Updated 4 years ago
- Turbulent flow network source code☆71Updated 10 months ago
- Deep learning library for solving differential equations on top of PyTorch.☆62Updated 5 years ago
- Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond☆60Updated 5 years ago
- ☆127Updated 2 years ago
- An Extensible Software Framework for Large-Scale Inverse Problems☆158Updated 3 weeks ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Updated 4 years ago
- Computational Fluid Dynamics based on PyTorch and the Lattice Boltzmann Method☆273Updated 3 weeks ago
- A library for dimensionality reduction on spatial-temporal PDE☆71Updated 2 weeks ago