nw2190 / ConvPDE
Convolutional Solvers for Partial Differential Equations
☆28Updated 4 years ago
Alternatives and similar repositories for ConvPDE:
Users that are interested in ConvPDE are comparing it to the libraries listed below
- 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
- ☆24Updated 6 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated last year
- Random snippets of code I've developed over the years (generally when bored)☆12Updated last year
- Deep Learning of Turbulent Scalar Mixing☆17Updated 5 years ago
- Stiff Neural Ordinary Differential Equations☆32Updated last year
- Scientific Machine Learning Tutorials☆36Updated 3 years ago
- Deep learning framework for model reduction of dynamical systems☆21Updated 4 years ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- Supplementary materials and codes for the book "Classical numerical analysis: A comprehensive course."☆21Updated 3 months ago
- ☆14Updated 7 months ago
- ☆16Updated 3 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆67Updated 4 years ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 3 years ago
- ☆25Updated 8 months ago
- PyMGRIT is a package for the Multigrid-Reduction-in-Time (MGRIT) algorithm in Python.☆19Updated 2 years ago
- Direct Numerical Simulation of Fluid Flow with IBM Using Python☆29Updated last year
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆14Updated last year
- Data-driven Geometric Multi-Grid solver for the discrete Poisson equation☆39Updated 2 years ago
- Pytorch implementation of the DeepMoD algorithm: [arXiv:1904.09406]☆32Updated last year
- ☆12Updated 3 years ago
- Pseudospectral Kolmogorov Flow Solver☆38Updated last year
- Sparse Identification of Truncation Errors (SITE) for Data-Driven Discovery of Modified Differential Equations☆10Updated 5 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated last week
- Hierarchy of parameterized Smoothed Particle Hydrodynamics models trained with mixed mode AD and Sensitivity Analysis (SA)☆12Updated 2 years ago
- Simulation-Enabled Prediction, Inference, and Analysis: physics-informed statistical learning.☆35Updated last year
- Source code for deep learning-based reduced order models in cardiac electrophysiology. Available on doi.org/10.1371/journal.pone.0239416.☆15Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆30Updated 2 years ago
- DeepGreen network written in Tensorflow 2☆30Updated 3 years ago
- Spectral Methods in Python☆53Updated this week