tum-pbs / autoreg-pde-diffusionLinks
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
☆102Updated last year
Alternatives and similar repositories for autoreg-pde-diffusion
Users that are interested in autoreg-pde-diffusion are comparing it to the libraries listed below
Sorting:
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆69Updated last month
- ☆54Updated 5 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Updated 9 months ago
- ☆89Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆204Updated last month
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆67Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆81Updated last year
- ☆49Updated 10 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆95Updated 2 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
- ☆40Updated last year
- ☆87Updated 2 years ago
- ☆59Updated 2 years ago
- ☆67Updated 5 months ago
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆68Updated 2 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆75Updated 7 months ago
- Spectral Neural Operator☆79Updated 2 years ago
- Applications of PINOs☆144Updated 3 years ago
- ☆65Updated 9 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Updated 2 years ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 10 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆49Updated 5 months ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆65Updated 2 months ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks