tum-pbs / unrollingLinks
☆17Updated 10 months ago
Alternatives and similar repositories for unrolling
Users that are interested in unrolling are comparing it to the libraries listed below
Sorting:
- ☆28Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- ☆39Updated 2 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆33Updated last year
- Deep renormalized Mori-Zwanzig (DrMZ) Julia package.☆17Updated 2 years ago
- Code for the paper "Structure-preserving neural networks" published in Journal of Computational Physics (JCP).☆19Updated 2 years ago
- ☆45Updated 2 years ago
- A Python library for training neural ODEs.☆25Updated 8 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- Python 2D Navier-Stokes solver☆23Updated 2 months ago
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- ☆30Updated last year
- ☆54Updated 2 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆37Updated 7 months ago
- ☆39Updated 2 weeks ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆82Updated 5 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- The unsupervised learning problem trains a diffeomorphic spatio-temporal grid, that registers the output sequence of the PDEs onto a non-…☆19Updated 3 years ago
- Convolutional Solvers for Partial Differential Equations☆27Updated 5 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 7 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…☆21Updated 4 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆32Updated 11 months ago
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 2 months ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆42Updated 2 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆56Updated 9 months ago
- JAX-SPH: A Differentiable Smoothed Particle Hydrodynamics Framework☆75Updated 2 weeks ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 8 months ago