cselab / G-LEDLinks
Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems
☆36Updated 7 months ago
Alternatives and similar repositories for G-LED
Users that are interested in G-LED are comparing it to the libraries listed below
Sorting:
- ☆46Updated 7 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 8 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆52Updated last year
- Pseudospectral Kolmogorov Flow Solver☆41Updated 2 years ago
- ☆28Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆72Updated 6 months ago
- ☆33Updated 3 months ago
- The public repository about our joint FINN research project☆38Updated 3 years ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24Updated last year
- ☆51Updated last year
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆45Updated this week
- ☆45Updated 2 years ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆47Updated 2 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆17Updated last year
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆47Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- ☆12Updated last year
- This is the implementation of the RecFNO.☆24Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆62Updated 4 months ago
- ☆83Updated 2 years ago
- Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.☆32Updated 11 months ago
- Turbulent flow network source code☆70Updated 7 months ago
- Differential equation neural operator☆23Updated 2 years ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- ☆10Updated 2 years ago
- ☆62Updated 2 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆98Updated 10 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…☆56Updated 9 months ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆25Updated last year
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆27Updated 10 months ago