Geometry-Aware Fourier Neural Operator (Geo-FNO)
☆357Apr 16, 2026Updated 5 months ago
Alternatives and similar repositories for Geo-FNO
Users that are interested in Geo-FNO are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- [ICLR 2023] Factorized Fourier Neural Operators☆199Oct 13, 2023Updated 2 years ago
- U-FNO - an enhanced Fourier neural operator-based deep-learning model for multiphase flow☆179Sep 6, 2024Updated 2 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆398Jul 14, 2023Updated 3 years ago
- ☆555Apr 1, 2025Updated last year
- Learning in infinite dimension with neural operators.☆3,950Aug 6, 2026Updated 2 months ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆40Jul 10, 2024Updated 2 years ago
- ☆97Sep 2, 2024Updated 2 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆422Feb 26, 2026Updated 7 months ago
- Official implementation of Scalable Transformer for PDE surrogate modelling☆58Mar 23, 2024Updated 2 years ago
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆232Nov 24, 2025Updated 10 months ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,213Mar 30, 2026Updated 6 months ago
- ☆96Jul 18, 2023Updated 3 years ago
- ☆70Jul 10, 2023Updated 3 years ago
- Using graph network to solve PDEs☆453Jun 2, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆61Jun 10, 2024Updated 2 years ago
- An extension of Fourier Neural Operator to finite-dimensional input and/or output spaces.☆19Oct 13, 2025Updated 11 months ago
- Code for Characterizing Scaling and Transfer Learning Behavior of FNO in SciML☆55May 31, 2023Updated 3 years ago
- ☆75Updated this week
- Spectral Neural Operator☆84Dec 20, 2023Updated 2 years ago
- [ICML 2023] Non-Uniform Neural Operator (NUNO)☆28Jul 3, 2023Updated 3 years ago
- ☆1,125Sep 13, 2026Updated 3 weeks ago
- [NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs☆270Jun 14, 2024Updated 2 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆74Jun 10, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Adaptive FNO transformer - official Pytorch implementation☆289Nov 7, 2022Updated 3 years ago
- ☆44Jul 22, 2024Updated 2 years ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆88Apr 10, 2025Updated last year
- ☆106Feb 12, 2023Updated 3 years ago
- Applications of PINOs☆149Oct 10, 2022Updated 4 years ago
- Distributed Fourier Neural Operators☆34Sep 20, 2022Updated 4 years ago
- ☆64Jul 21, 2025Updated last year
- ☆431Dec 3, 2022Updated 3 years ago
- ☆315Sep 14, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆198Apr 10, 2025Updated last year
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆850Jun 25, 2022Updated 4 years ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆78Jun 5, 2025Updated last year
- Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure☆27Mar 9, 2023Updated 3 years ago
- Code for Mesh Transformer describes in the EAGLE dataset☆43Feb 21, 2025Updated last year
- ☆49Dec 7, 2022Updated 3 years ago
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆86Nov 21, 2025Updated 10 months ago