camlab-ethz / GAOTView external linksLinks
[NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains
☆73Oct 23, 2025Updated 3 months ago
Alternatives and similar repositories for GAOT
Users that are interested in GAOT are comparing it to the libraries listed below
Sorting:
- About code release of "Geometry-Aware Operator Transformer: A Generalizable Framework for PDE Solution Operators"☆19Dec 8, 2025Updated 2 months ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆207Nov 24, 2025Updated 2 months ago
- ☆53Jul 21, 2025Updated 6 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆168Apr 10, 2025Updated 10 months ago
- ☆72Oct 21, 2025Updated 3 months ago
- Graph-based operator learning in arbitrary geometries☆34Dec 19, 2025Updated last month
- ☆13Dec 19, 2023Updated 2 years ago
- [ICML 2024] UGrid: An Efficient-And-Rigorous Neural Multigrid Solver for Linear PDEs☆10Aug 7, 2025Updated 6 months ago
- ☆59Jul 10, 2023Updated 2 years ago
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆97Nov 11, 2025Updated 3 months ago
- RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data☆34Updated this week
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆304Jun 2, 2025Updated 8 months ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Jun 10, 2024Updated last year
- Code for the paper Universal Physics Transformers☆149Jul 2, 2025Updated 7 months ago
- ☆58Jan 27, 2026Updated 2 weeks ago
- ☆29Jul 8, 2024Updated last year
- Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta☆17Aug 4, 2024Updated last year
- Score-based Diffusion models in JAX.☆17Dec 29, 2025Updated last month
- Source code for paper "Learning the Solution Operator of Boundary Value Problems using Graph Neural Networks"☆19Jul 25, 2024Updated last year
- [NeurIPS 2025 Spotlight] "Stochastic Process Learning via Operator Flow Matching"☆17Nov 4, 2025Updated 3 months ago
- Geometric Neural Operators (GNPs) for machine learning tasks on point-cloud representations: curvature estimation, shape deformations, so…☆32Dec 19, 2025Updated last month
- ☆87Jul 18, 2023Updated 2 years ago
- Adaptive Swarm Mesh Refinement☆21Apr 8, 2024Updated last year
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆26Nov 6, 2024Updated last year
- ☆287Sep 14, 2024Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 2024Updated last year
- A Large-Scale Multimodal Car Dataset with Computational Fluid Dynamics Simulations and Deep Learning Benchmarks☆467Dec 10, 2025Updated 2 months ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated 8 months ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆268Feb 6, 2026Updated last week
- ☆90Sep 2, 2024Updated last year
- Machine Learning with MATLAB live scripts☆10Sep 16, 2024Updated last year
- Library for Event Synchronization and Event Coincidence Analysis☆14Jan 12, 2025Updated last year
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆40Mar 10, 2025Updated 11 months ago
- ☆117Feb 5, 2025Updated last year
- ☆36Jun 17, 2022Updated 3 years ago
- This repository is the official project page of the course AI in the Sciences and Engineering, ETH Zurich.☆332May 12, 2025Updated 9 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Jan 13, 2024Updated 2 years ago
- ☆12Sep 7, 2024Updated last year
- ☆11Nov 13, 2023Updated 2 years ago