Graph-based operator learning in arbitrary geometries
☆44Dec 19, 2025Updated 10 months ago
Alternatives and similar repositories for rigno
Users that are interested in rigno are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code for the paper "Generative AI for fast and accurate statistical computation of fluids"☆65Jun 18, 2026Updated 4 months ago
- [NeurIPS 2025] Geometry Aware Operator Transformer As An Efficient And Accurate Neural Surrogate For PDEs On Arbitrary Domains☆109Oct 23, 2025Updated last year
- A GNN-based PDE solver without pre-computed data☆45Jun 11, 2025Updated last year
- [KDD 2025] Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries☆25Feb 17, 2025Updated last year
- GINOT is a deep learning model that combines transformers with neural operators for accurate forward predictions on arbitrary 2D and 3D g…☆45Jan 20, 2026Updated 9 months 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.
- [TMLR 2025] Mesh-Informed Neural Operator : A Transformer Generative Approach☆19Jun 1, 2026Updated 5 months ago
- ☆64Jul 21, 2025Updated last year
- The official repository of “Transolver is a Linear Transformer: Revisiting Physics-Attention through the Lens of Linear Attention”. Comin…☆28Mar 24, 2026Updated 7 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆23Sep 3, 2024Updated 2 years ago
- About code release of "Geometry-Aware Operator Transformer: A Generalizable Framework for PDE Solution Operators"☆29Dec 8, 2025Updated 10 months ago
- Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta☆16Aug 4, 2024Updated 2 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- Physics Informed Learning System. Official code for "Preconditioned Physics-Informed Neural Operator Training."☆18Sep 30, 2026Updated last month
- [Neurips 2024] A benchmark suite for autoregressive neural emulation of PDEs. (≥46 PDEs in 1D, 2D, 3D; Differentiable Physics; Unrolled T…☆111Jun 1, 2026Updated 5 months ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆16Jul 30, 2024Updated 2 years ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆43Oct 17, 2024Updated 2 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Apr 25, 2024Updated 2 years ago
- Repo to the paper "Message Passing Neural PDE Solvers"☆152Sep 11, 2024Updated 2 years ago
- QCBench: Evaluating Large Language Models on Domain-Specific Quantitative Chemistry (JCIM 2025)☆12Oct 5, 2025Updated last year
- ☆13Jun 10, 2025Updated last year
- ☆13May 30, 2024Updated 2 years ago
- ☆17Jan 2, 2024Updated 2 years ago
- PENN code for NeurIPS 2022☆42Jan 11, 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.
- A novel DeepONet architecture that is specifically designed for generating predictions on different 3D geometries discretized by differen…☆31Jul 25, 2024Updated 2 years ago
- Deep Neural Operator Frameworks for Solving Parametric PDEs☆14Jul 1, 2025Updated last year
- Temporal Graph Rewiring Method with Expander Graphs☆12Oct 18, 2024Updated 2 years ago
- Optimizing the Optimizer for Physics-Informed Neural Networks and Kolmogorov-Arnold Networks☆16May 29, 2026Updated 5 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆200Apr 10, 2025Updated last year
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- GEPS: Boosting Generalization in Parametric PDE Neural Solvers through Adaptive Conditioning☆10Nov 19, 2024Updated last year
- NeurIPS 2023 (Spotlight)☆38Jan 2, 2024Updated 2 years ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated 2 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Code for "Dual Cone Gradient Descent for Physics-Informed Neural Networks☆14Dec 6, 2025Updated 11 months ago
- [ICLR 2024] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆35Oct 2, 2026Updated last month
- Equivariant Mesh Attention Networks☆20Aug 30, 2022Updated 4 years ago
- ☆12Mar 8, 2025Updated last year
- ☆13Mar 21, 2024Updated 2 years ago
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆40May 16, 2025Updated last year
- ☆13Dec 19, 2023Updated 2 years ago