Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"
☆24May 13, 2024Updated 2 years ago
Alternatives and similar repositories for DSE-for-NeuralOperators
Users that are interested in DSE-for-NeuralOperators are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆16Oct 25, 2021Updated 4 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Sep 3, 2024Updated last year
- This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs☆224Nov 24, 2025Updated 6 months ago
- ☆13Mar 21, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Here you find the Spectral Operator Learning Under construcTION☆20May 8, 2024Updated 2 years ago
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆58Aug 19, 2025Updated 9 months ago
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆33May 16, 2025Updated last year
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆186Apr 10, 2025Updated last year
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆14Jul 30, 2024Updated last year
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆22Jun 20, 2024Updated last year
- Source code for paper "Physics-aligned field reconstruction with diffusionn bridge"☆14Feb 12, 2025Updated last year
- ☆90Jul 18, 2023Updated 2 years ago
- Code for orthogonal neural operator☆17Oct 15, 2023Updated 2 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆27Nov 6, 2024Updated last year
- Neural Operators with Applications to the Helmholtz Equation☆11Sep 19, 2024Updated last year
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 2 years ago
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Mar 18, 2024Updated 2 years ago
- ☆11Jan 7, 2025Updated last year
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆71Jun 10, 2024Updated 2 years ago
- ☆71Aug 19, 2025Updated 9 months ago
- [AAAI 2025] AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆22Jul 20, 2025Updated 10 months ago
- [ICLR 2023] Factorized Fourier Neural Operators☆196Oct 13, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated last year
- ☆21Aug 24, 2025Updated 9 months ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆334Apr 16, 2026Updated 2 months ago
- Use Fourier transform to learn operators in differential equations.☆27Jan 6, 2023Updated 3 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 9 months ago
- ☆17Feb 3, 2023Updated 3 years ago
- ☆11Mar 31, 2021Updated 5 years ago
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆52Aug 6, 2023Updated 2 years ago
- ☆11Mar 18, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- This is the implementation of the RecFNO.☆26Feb 21, 2023Updated 3 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆95Oct 23, 2025Updated 7 months ago
- GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D g…☆36Jan 20, 2026Updated 4 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆73Jan 13, 2024Updated 2 years ago
- Codomain attention neural operator for single to multi-physics PDE adaptation.☆79Jun 5, 2025Updated last year
- ☆19Apr 5, 2024Updated 2 years ago