jkneifl / VENI-VINDy-VICI
An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification
☆31Updated last week
Alternatives and similar repositories for VENI-VINDy-VICI:
Users that are interested in VENI-VINDy-VICI are comparing it to the libraries listed below
- ☆163Updated 11 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆130Updated 2 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆59Updated 3 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆31Updated 7 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆63Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆56Updated 6 months ago
- mathLab mirror of Python Dynamic Mode Decomposition☆82Updated 4 months ago
- ☆52Updated 2 years ago
- Example problems in Physics informed neural network in JAX☆78Updated last year
- A library for dimensionality reduction on spatial-temporal PDE☆63Updated 10 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆82Updated 2 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆67Updated last year
- ☆156Updated last year
- Applications of PINOs☆118Updated 2 years ago
- ETH Zürich AI in the Sciences and Engineering Master's course 2024☆29Updated 6 months ago
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆61Updated last month
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆23Updated last year
- Code for the paper "Thermodynamics-informed graph neural networks" published in IEEE Transactions on Artificial Intelligence (TAI).☆95Updated 5 months ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆165Updated 2 months ago
- ☆53Updated 11 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…☆46Updated last month
- ☆108Updated 4 months ago
- ETH Zürich Deep Learning in Scientific Computing Master's course 2023☆106Updated 6 months ago
- Characterizing possible failure modes in physics-informed neural networks.☆128Updated 3 years ago
- ☆88Updated 3 years ago
- Original implementation of fast PINN optimization with RBA weights☆47Updated 4 months ago
- ☆51Updated 3 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆82Updated 4 years ago
- Here I will try to implement the solution of PDEs using PINN on pytorch for educational purpose☆44Updated 2 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆39Updated 9 months ago