LLNL / LaSDILinks
☆54Updated 2 years ago
Alternatives and similar repositories for LaSDI
Users that are interested in LaSDI are comparing it to the libraries listed below
Sorting:
- ☆30Updated last year
- ☆35Updated 3 weeks ago
- Python interface for libROM, library for reduced order models☆61Updated 5 months ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆102Updated 10 months ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆74Updated last week
- A Python library for training neural ODEs.☆25Updated 5 months ago
- ☆26Updated last year
- Using NVIDIA modulus for airfoil optimizations at different angles.☆23Updated 2 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆114Updated 3 years ago
- Easy Reduced Basis method☆85Updated last week
- Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods☆219Updated last month
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 3 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆37Updated 3 months ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Update PDEKoopman code to Tensorflow 2☆23Updated 4 years ago
- ☆116Updated 5 years ago
- RBniCS - reduced order modelling in FEniCS (legacy)☆110Updated 4 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆20Updated 4 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated 3 weeks ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93Updated 3 years ago
- ☆41Updated 5 years ago
- DeepONet extrapolation☆27Updated 2 years ago
- Sparse Physics-based and Interpretable Neural Networks☆50Updated 3 years ago
- PyTorch-FEniCS interface☆101Updated 4 years ago
- 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
- A Python package for spectral proper orthogonal decomposition (SPOD).☆109Updated 7 months ago
- ☆42Updated 2 years ago