FrancescoRegazzoni / LDNetsLinks
☆57Updated last year
Alternatives and similar repositories for LDNets
Users that are interested in LDNets are comparing it to the libraries listed below
Sorting:
- An interpretable data-driven framework for building generative reduced order models with embedded uncertainty quantification☆32Updated 3 months ago
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆35Updated last month
- [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
- Pseudospectral Kolmogorov Flow Solver☆40Updated last year
- Example problems in Physics informed neural network in JAX☆80Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆62Updated last month
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆86Updated 5 months ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆70Updated 2 years ago
- Applications of PINOs☆126Updated 2 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…☆53Updated 4 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- An RL-Gym for Challenge Problems in Data-Driven Modeling and Control of Fluid Dynamics.☆71Updated this week
- ☆34Updated last month
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆30Updated 2 months ago
- ☆97Updated 3 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆41Updated last week
- ☆53Updated 2 years ago
- ☆47Updated last year
- Derivative-Informed Neural Operator: An Efficient Framework for High-Dimensional Parametric Derivative Learning☆16Updated last year
- Code and files related to random side projects☆21Updated 3 years ago
- ☆12Updated 2 years ago
- ☆32Updated last year
- Competitive Physics Informed Networks☆30Updated 8 months ago
- Methods and code for J. L. Callaham, J. N. Kutz, B. W. Brunton, and S. L. Brunton (2020)☆56Updated 4 years ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆144Updated last month
- Enhancing Dynamic Mode Decomposition using Autoencoder Networks.☆30Updated 4 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 4 years ago
- ☆108Updated 4 months ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- The public repository about our joint FINN research project☆36Updated 2 years ago