francescobardi / pde_solver_deep_learnedLinks
☆14Updated 6 years ago
Alternatives and similar repositories for pde_solver_deep_learned
Users that are interested in pde_solver_deep_learned are comparing it to the libraries listed below
Sorting:
- Deep Learning application to the partial differential equations☆30Updated 7 years ago
- A pyTorch Extension for Applied Mathematics☆39Updated 5 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Machine learning of linear differential equations using Gaussian processes☆24Updated 7 years ago
- CS230 Project: Deep Learning for PDE☆41Updated 6 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- ☆41Updated 2 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆19Updated last month
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- This is the repository for the code used in the ICML23 paper called "Achieving High Accuracy with PINNs via Energy Natural Gradient Desce…☆19Updated 7 months ago
- PyTorch-FEniCS interface☆101Updated 4 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- generative neural network trained with physics knowledge☆14Updated 4 years ago
- ☆41Updated 5 years ago
- jupyter notebooks for the neural nets and differential equation paper☆28Updated 4 years ago
- ☆38Updated last year
- A Discussion on Solving Partial Differential Equations using Neural Networks☆66Updated 5 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- ☆34Updated 4 years ago
- ☆8Updated 6 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- Code for the paper "Deep learning of thermodynamics-aware reduced-order models from data" published in Computer Methods in Applied Mechan…☆14Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆27Updated 2 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- Random snippets of code I've developed over the years (generally when bored)☆12Updated last year
- ☆14Updated 5 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆19Updated 4 years ago
- ☆21Updated 4 years ago