ml-jku / UPTLinks
Code for the paper Universal Physics Transformers
☆118Updated 2 weeks ago
Alternatives and similar repositories for UPT
Users that are interested in UPT are comparing it to the libraries listed below
Sorting:
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆60Updated last month
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆145Updated 3 months ago
- ☆264Updated 10 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆68Updated last year
- Repo to the paper "Message Passing Neural PDE Solvers"☆134Updated 10 months ago
- Official implementation of Diffusion Graph Networks (DGNs)☆62Updated 3 months ago
- Spectral Neural Operator☆79Updated last year
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆90Updated 7 months ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆76Updated last month
- Code for paper "Multiple Physics Pretraining for Physical Surrogate Models☆164Updated 7 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆57Updated last year
- LagrangeBench: A Lagrangian Fluid Mechanics Benchmarking Suite☆63Updated 6 months ago
- ☆88Updated 3 months ago
- Repo to the paper "Lie Point Symmetry Data Augmentation for Neural PDE Solvers"☆52Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆71Updated 3 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆179Updated 2 months ago
- Official implementation of the AIAA Journal paper "Uncertainty-aware Surrogate Models for Airfoil Flow Simulations with Denoising Diffusi…☆69Updated 8 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆47Updated last year
- [ICLR 2024] Neural Spectral Methods: Self-supervised learning in the spectral domain.☆45Updated last year
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆46Updated last month
- Official PyTorch implementation of the Vectorized Conditional Neural Field.☆15Updated 11 months ago
- ☆76Updated last year
- ☆39Updated 4 months ago
- TorchFSM: Fourier Spectral Method with PyTorch☆44Updated last week
- Neural SPH☆32Updated last year
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 4 months ago
- ☆41Updated 4 months ago
- PDE-Transformer is a neural network architecture designed to efficiently process and predict the evolution of physical systems described …☆33Updated last week