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
- Gaussian process-based interpretable latent space dynamics identification through deep autoencoder☆35Updated this week
- ☆28Updated last year
- Python interface for libROM, library for reduced order models☆62Updated 2 months ago
- Using NVIDIA modulus for airfoil optimizations at different angles.☆23Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- Efficient and Scalable Physics-Informed Deep Learning and Scientific Machine Learning on top of Tensorflow for multi-worker distributed c…☆116Updated 3 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- Example problems in Physics informed neural network in JAX☆81Updated 2 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
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆75Updated last week
- ☆116Updated 6 years ago
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 2 months ago
- A Python library for training neural ODEs.☆25Updated 8 months ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years 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
- Data-driven model reduction library with an emphasis on large scale parallelism and linear subspace methods☆224Updated last month
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- ☆45Updated 2 years ago
- Easy Reduced Basis method☆88Updated 2 months ago
- Multi-fidelity reduced-order surrogate modeling☆25Updated 4 months ago
- ☆42Updated 5 years ago
- Learning Green's functions of partial differential equations with deep learning.☆72Updated last year
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆33Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆17Updated last year
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Multi Fidelity Monte Carlo☆24Updated 5 years ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆105Updated last year
- Code repository for "Learned Turbulence Modelling with Differentiable Fluid Solvers"☆39Updated 3 years ago