NBoulle / greenlearning
Learning Green's functions of partial differential equations with deep learning.
☆63Updated 10 months ago
Related projects ⓘ
Alternatives and complementary repositories for greenlearning
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆112Updated 2 years ago
- Distributed Fourier Neural Operators☆28Updated 2 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆18Updated 10 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆59Updated 7 months ago
- Innovative, efficient, and computational-graph-based finite element simulator for inverse modeling☆80Updated 3 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆36Updated 3 months ago
- ☆116Updated 5 years ago
- ☆31Updated 4 months ago
- ☆44Updated 10 months ago
- DeepGreen network written in Tensorflow 2☆30Updated 3 years ago
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆35Updated 2 years ago
- Convolutional Solvers for Partial Differential Equations☆28Updated 4 years ago
- ☆37Updated last year
- ☆50Updated last week
- Differentiable interface to FEniCS for JAX☆50Updated 3 years ago
- A short course in pseudospectral collocation methods for wave equations, with implementations in Python.☆48Updated last year
- ☆46Updated last year
- Scientific Machine Learning Tutorials☆36Updated 3 years ago
- Source code for Deep Multigrid method https://arxiv.org/pdf/1711.03825.pdf☆18Updated 5 years ago
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆17Updated 2 years ago
- ☆39Updated 4 years ago
- ☆18Updated last year
- A machine learning boosted parallel-in-time differential equation solver framework.☆26Updated last year
- PyTorch implementation of GMLS-Nets. Machine learning methods for scattered unstructured data sets. Methods for learning differential op…☆23Updated last year
- ☆28Updated 9 months ago
- Sparse Physics-based and Interpretable Neural Networks☆46Updated 3 years ago
- Compute spectral measures of self-adjoint operators☆16Updated last year
- USC seminar review of deep learning application to PDE solving and ROM☆11Updated 3 years ago
- Datasets and code for results presented in the ProbConserv paper☆51Updated 5 months ago
- Pseudospectral Kolmogorov Flow Solver☆34Updated last year