lizhihao2022 / AMGLinks
[KDD 2025] Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries
☆21Updated 10 months ago
Alternatives and similar repositories for AMG
Users that are interested in AMG are comparing it to the libraries listed below
Sorting:
- ☆23Updated 5 months ago
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆75Updated 10 months ago
- [ICLR 2025] Wavelet Diffusion Neural Operator (WDNO) uses diffusion models on wavelet space for generative PDE simulation and control.☆52Updated 3 months ago
- Source code for paper "Learning spatiotemporal dynamics with a pretrained generative model" in Nature Machine Intelligence☆58Updated 8 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆79Updated 8 months ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆48Updated 4 months ago
- Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation☆100Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Updated last year
- ☆65Updated 4 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆244Updated last month
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆216Updated 2 years ago
- ☆37Updated 5 months ago
- [AAAI24] LE-PDE-UQ endows deep learning-based surrogate models with robust and efficient uncertainty quantification capabilities for both…☆16Updated last year
- A Library for Advanced Neural PDE Solvers.☆247Updated last month
- Awesome AI4PDE is a curated list of resources and literature focusing on the intersection of Artificial Intelligence and Partial Differen…☆83Updated 8 months ago
- ☆24Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆66Updated last year
- Encoding physics to learn reaction-diffusion processes☆109Updated 2 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆68Updated 3 weeks ago
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆40Updated 2 years ago
- ☆67Updated 2 months ago
- ☆54Updated 4 months ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Updated last year
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆292Updated 6 months ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆165Updated last year
- ☆13Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Updated last year
- ☆57Updated 2 years ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆75Updated 7 months ago
- ☆47Updated 9 months ago