sjunhongshen / UnifiedPDESolversLinks
☆21Updated last year
Alternatives and similar repositories for UnifiedPDESolvers
Users that are interested in UnifiedPDESolvers are comparing it to the libraries listed below
Sorting:
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆57Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆53Updated last year
- ICON for in-context operator learning☆56Updated 5 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆29Updated 8 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆49Updated last year
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆72Updated 3 months ago
- ☆13Updated 11 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆45Updated 2 years ago
- PROSE: Predicting Multiple Operators and Symbolic Expressions☆27Updated 4 months ago
- ☆77Updated 2 years ago
- ☆81Updated 11 months ago
- ☆44Updated 4 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆90Updated 7 months ago
- [ICLR2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆38Updated last month
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆20Updated 2 months ago
- ☆32Updated last year
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆195Updated 2 weeks ago
- CodePDE: An Inference Framework for LLM-driven PDE Solver Generation☆50Updated last month
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆69Updated last year
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆39Updated 6 months ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆135Updated 10 months ago
- ☆13Updated last year
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆47Updated last month
- ☆43Updated 2 weeks ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆25Updated 9 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆41Updated 5 months ago
- Differential equation neural operator☆23Updated last year
- Generalizing to New Physical Systems via Context-Informed Dynamics Model☆25Updated last year
- ☆43Updated 4 months ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆12Updated last year