tum-pbs / pde-transformerLinks
PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described by partial differential equations.
☆51Updated last month
Alternatives and similar repositories for pde-transformer
Users that are interested in pde-transformer are comparing it to the libraries listed below
Sorting:
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆99Updated 9 months ago
- ☆51Updated 2 months ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆67Updated 4 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Updated last year
- ☆82Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆62Updated 3 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆22Updated last year
- ☆13Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆62Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆46Updated last month
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- Code for the paper Universal Physics Transformers☆135Updated 3 months ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆46Updated last month
- Official implementation of Scalable Transformer for PDE surrogate modelling☆52Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆155Updated 6 months ago
- ☆52Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆191Updated 5 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Updated 11 months ago
- ☆85Updated last year
- ☆46Updated 6 months ago
- ☆62Updated 6 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆82Updated 4 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆75Updated 6 months ago
- ☆50Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆69Updated 5 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 10 months ago
- Spectral Neural Operator☆78Updated last year
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆80Updated 11 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆21Updated 4 months ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆26Updated 10 months ago