BenediktAlkin / upt-tutorialLinks
Resources for UPT tutorials
☆14Updated 7 months ago
Alternatives and similar repositories for upt-tutorial
Users that are interested in upt-tutorial are comparing it to the libraries listed below
Sorting:
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆69Updated 5 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆24Updated 5 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 11 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆65Updated last year
- ☆87Updated last year
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆48Updated 2 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆49Updated 2 years ago
- Code for the paper Universal Physics Transformers☆143Updated 4 months ago
- ☆47Updated 8 months ago
- ☆54Updated 2 years ago
- ☆12Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆53Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆195Updated 6 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆88Updated last week
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆99Updated 11 months ago
- Spectral Neural Operator☆78Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆139Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆159Updated 7 months ago
- ☆83Updated 2 years ago
- ☆35Updated last year
- Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…☆31Updated this week
- ☆53Updated 3 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆27Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆46Updated 3 months ago
- ☆23Updated last year
- ☆37Updated 4 months ago
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆27Updated 11 months ago
- Here you find the Spectral Operator Learning Under construcTION☆20Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Updated 8 months ago