tum-pbs / Diffusion-based-Flow-PredictionLinks
Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusion Probabilistic Models"
☆74Updated 9 months ago
Alternatives and similar repositories for Diffusion-based-Flow-Prediction
Users that are interested in Diffusion-based-Flow-Prediction are comparing it to the libraries listed below
Sorting:
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆90Updated 7 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆46Updated last month
- ☆44Updated 4 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆49Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆41Updated 5 months ago
- ☆81Updated 11 months ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆27Updated 4 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆65Updated 3 months ago
- ☆32Updated 3 weeks ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆149Updated 3 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 6 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆68Updated last year
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆77Updated 2 months ago
- ☆46Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated 2 months ago
- About code release of "Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains"☆31Updated 2 months ago
- Official implementation of Diffusion Graph Networks (DGNs)☆63Updated 4 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆57Updated last year
- ☆42Updated 2 weeks ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆62Updated 2 months ago
- Spectral Neural Operator☆79Updated last year
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆38Updated last month
- A library for dimensionality reduction on spatial-temporal PDE☆66Updated last year
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 8 months ago
- ☆77Updated 2 years ago
- Pseudospectral Kolmogorov Flow Solver☆41Updated last year
- GCA-ROM is a library which implements graph convolutional autoencoder architecture as a nonlinear model order reduction strategy.☆36Updated last month
- ☆32Updated last year