jkneifl / VENI-VINDy-VICILinks
An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
☆32Updated 3 months ago
Alternatives and similar repositories for VENI-VINDy-VICI
Users that are interested in VENI-VINDy-VICI are comparing it to the libraries listed below
Sorting:
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆73Updated 2 weeks ago
- Code for paper Sparse identification of nonlinear dynamics with Shallow Recurrent Decoder Networks.☆25Updated this week
- ☆57Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated last month
- ☆180Updated 2 months ago
- ☆62Updated 7 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated last month
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆34Updated 10 months ago
- Example problems in Physics informed neural network in JAX☆80Updated last year
- ☆34Updated last month
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆69Updated last year
- ☆53Updated 2 years ago
- ☆36Updated 2 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆86Updated 5 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆144Updated last month
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆53Updated 4 months ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆28Updated last year
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆59Updated 3 years ago
- ☆97Updated 3 years ago
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆100Updated 9 months ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆71Updated this week
- Applications of PINOs☆126Updated 2 years ago
- mathLab mirror of Python Dynamic Mode Decomposition☆91Updated 3 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆29Updated 7 months ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆112Updated 10 months ago
- ☆12Updated 2 years ago