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"
☆80Updated last year
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☆100Updated last year
- ☆47Updated 9 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 8 months ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆69Updated last month
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆66Updated last year
- ☆89Updated last year
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆31Updated last month
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆79Updated 8 months ago
- A library for dimensionality reduction on spatial-temporal PDE☆70Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆49Updated 4 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆50Updated 2 years ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆71Updated 6 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆35Updated last year
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆67Updated 2 months ago
- ☆86Updated 2 years ago
- ☆38Updated last year
- ☆37Updated 5 months ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆75Updated 2 years ago
- Official implementation of Diffusion Graph Networks (DGNs)☆76Updated 9 months ago
- ☆65Updated 4 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…☆57Updated 11 months ago
- ☆54Updated 3 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Updated 6 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆166Updated 8 months ago
- ☆54Updated 5 months ago
- Spectral Neural Operator☆78Updated 2 years ago
- The public repository about our joint FINN research project☆37Updated 3 years ago
- ☆57Updated 2 years ago
- Encoding physics to learn reaction-diffusion processes☆109Updated 2 years ago