Code for orthogonal neural operator
☆17Oct 15, 2023Updated 3 years ago
Alternatives and similar repositories for Orthogonal-Neural-operator
Users that are interested in Orthogonal-Neural-operator are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆16Jul 30, 2024Updated 2 years ago
- ☆97Jul 18, 2023Updated 3 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆74Jun 10, 2024Updated 2 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆27Jun 3, 2025Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 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.
- ☆14Jan 7, 2025Updated last year
- ☆70Jul 10, 2023Updated 3 years ago
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆61Jun 10, 2024Updated 2 years ago
- ☆67Jun 18, 2026Updated 4 months ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆75Jan 13, 2024Updated 2 years ago
- VICON: Vision In-Context Operator Networks for Multi-Physics Fluid Dynamics Prediction☆12Mar 11, 2026Updated 7 months ago
- ☆29Jun 12, 2025Updated last year
- ☆10Apr 10, 2023Updated 3 years ago
- [KDD 2025] Harnessing Scale and Physics: A Multi-Graph Neural Operator Framework for PDEs on Arbitrary Geometries☆25Feb 17, 2025Updated last year
- 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.
- [ICLR 2023] Factorized Fourier Neural Operators☆199Oct 13, 2023Updated 3 years ago
- ☆75Jun 14, 2026Updated 4 months ago
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated 2 years ago
- ☆13Mar 21, 2024Updated 2 years ago
- The MegaFlow2D dataset package☆25Sep 21, 2023Updated 3 years ago
- [AAAI 2025] AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆23Jul 20, 2025Updated last year
- Code of ICML paper arxiv.org/abs/2302.08105☆14May 4, 2023Updated 3 years ago
- ☆64Jul 21, 2025Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆57Mar 23, 2024Updated 2 years ago
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting for WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Deploy in minutes on Cloudways by DigitalOcean.
- ☆13Dec 19, 2023Updated 2 years ago
- Research Paper: "Graph Contrastive Learning as a Versatile Foundation for Advanced scRNA-seq Data Analysis"☆11Nov 20, 2024Updated last year
- ☆16Nov 20, 2023Updated 2 years ago
- Code for "Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space"☆26Mar 25, 2026Updated 7 months ago
- MIONet: Learning multiple-input operators via tensor product☆47Nov 13, 2022Updated 3 years ago
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆427Feb 26, 2026Updated 8 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆29Nov 6, 2024Updated last year
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆22Jul 18, 2024Updated 2 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 3 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.
- Code for the paper "The Random Feature Model for Input-Output Maps between Banach Spaces" (SIREV SIGEST 2024, SISC 2021)☆15Aug 8, 2024Updated 2 years ago
- [ICML 2024] Official PyTorch implementation of the Vectorized Conditional Neural Field.☆18Aug 1, 2024Updated 2 years ago
- f-GAN Tensorflow f-GAN: Training Generative Neural Samplers Using Variational Divergence Minimization☆12Sep 15, 2018Updated 8 years ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆14Dec 21, 2021Updated 4 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
- Attention mechanism-based neural operator models to solve both forward and inverse problems.☆17May 30, 2025Updated last year
- Code for ICML2025 Paper "Physics-informed Temporal Alignment for Auto-regressive PDE Foundation Models"☆17Jun 27, 2025Updated last year