llnl / GPLaSDILinks
Gaussian process-based interpretable latent space dynamics identification through deep autoencoder
☆35Updated last month
Alternatives and similar repositories for GPLaSDI
Users that are interested in GPLaSDI are comparing it to the libraries listed below
Sorting:
- ☆55Updated 2 years ago
- ☆30Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Updated 5 years ago
- Multi-fidelity reduced-order surrogate modeling☆29Updated 6 months ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- Operator Inference for data-driven, non-intrusive model reduction of dynamical systems.☆77Updated 2 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆38Updated 2 years ago
- Easy Reduced Basis method☆92Updated last week
- Sparse Physics-based and Interpretable Neural Networks☆52Updated 4 years ago
- Example problems in Physics informed neural network in JAX☆82Updated 2 years ago
- Numerical Gaussian Processes for Time-dependent and Non-linear Partial Differential Equations☆69Updated 5 years ago
- Using NVIDIA modulus for airfoil optimizations at different angles.☆25Updated 2 years ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆106Updated last year
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆53Updated 2 years ago
- ☆118Updated 6 years ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆28Updated 2 years ago
- Deep Learning for Reduced Order Modelling☆103Updated 4 years ago
- This repository contains the files used in the paper " Reduced-order Model for Fluid Flows via Neural Ordinary Differential Equations"☆19Updated 2 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Updated 4 years ago
- Python for Scientific Computing (FEniCS, PyTorch, VTK)☆133Updated last year
- The MegaFlow2D dataset package☆23Updated 2 years ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆95Updated 6 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆93Updated 2 years ago
- Python interface for libROM, library for reduced order models☆62Updated 4 months ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆115Updated 3 weeks ago
- Competitive Physics Informed Networks☆32Updated last year
- Dimension reduced surrogate construction for parametric PDE maps☆38Updated 4 months ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆57Updated last year