samuelsmal / pde_deep_learningLinks
☆8Updated 6 years ago
Alternatives and similar repositories for pde_deep_learning
Users that are interested in pde_deep_learning are comparing it to the libraries listed below
Sorting:
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 2 years ago
- Learning Green's functions of partial differential equations with deep learning.☆71Updated last year
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆84Updated 4 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- ☆13Updated 4 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 5 years ago
- Scientific Machine Learning Tutorials☆39Updated 3 years ago
- ☆14Updated 3 years ago
- Variational Neural Networks for the Solution of Partial Differential Equations☆8Updated 5 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆19Updated 2 months ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 3 months ago
- Machine learning of linear differential equations using Gaussian processes☆24Updated 7 years ago
- ☆116Updated 5 years ago
- DeepGreen network written in Tensorflow 2☆29Updated 4 years ago
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆14Updated 2 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆55Updated 2 months ago
- Predicting wave propagation on shallow water with deep neural networks☆21Updated last year
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- ☆32Updated last year
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆26Updated last year
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆38Updated 2 years ago
- Transfer learning on PINNs for tracking hemodynamics☆14Updated 11 months ago
- generative neural network trained with physics knowledge☆14Updated 4 years ago
- ☆54Updated 2 years ago
- Python 3 version of FabSim☆26Updated this week
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- ☆30Updated last year
- ☆26Updated last year
- ☆38Updated last year