Code for orthogonal neural operator
☆18Oct 15, 2023Updated 2 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:
- ☆39May 20, 2025Updated 11 months ago
- Inducing Point Operator Transformer: A Flexible and Scalable Architecture for Solving PDEs (AAAI 2024)☆15Jul 30, 2024Updated last year
- LoPA: Scaling dLLM Inference via Lookahead Parallel Decoding☆37Apr 25, 2026Updated last week
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆69Jun 10, 2024Updated last year
- SIFT: Grounding LLM Reasoning in Contexts via Stickers☆57Mar 6, 2025Updated last year
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆55Jun 10, 2024Updated last year
- ☆89Jul 18, 2023Updated 2 years ago
- [AAAI 2025] AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆22Jul 20, 2025Updated 9 months ago
- The official implementation of Mantis: A Versatile Vision-Language-Action Model with Disentangled Visual Foresight☆90Jan 16, 2026Updated 3 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆27Nov 6, 2024Updated last year
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆24May 13, 2024Updated last year
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆327Feb 26, 2026Updated 2 months ago
- Official implementation for "LOVECon: Text-driven Training-free Long Video Editing with ControlNet"☆43Oct 26, 2023Updated 2 years ago
- The MegaFlow2D dataset package☆24Sep 21, 2023Updated 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.
- About Code release for “DeepLag: Discovering Deep Lagrangian Dynamics for Intuitive Fluid Prediction” (NeurIPS 2024), https://arxiv.org/a…☆21Oct 31, 2024Updated last year
- ☆58Apr 1, 2025Updated last year
- [NeurIPS 23] Official Code for "Learning Efficient Surrogate Dynamic Models with Graph Spline Networks"☆16Jul 19, 2024Updated last year
- Official implementation of Scalable Transformer for PDE surrogate modelling☆56Mar 23, 2024Updated 2 years ago
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs - ICLR 2023☆74Jan 13, 2024Updated 2 years ago
- About code release of "HelmFluid: Learning Helmholtz Dynamics for Interpretable Fluid Prediction", ICML 2024. https://arxiv.org/pdf/2310.…☆22Jul 18, 2024Updated last year
- ☆12Mar 18, 2024Updated 2 years ago
- ☆27Jun 12, 2025Updated 10 months ago
- CheMixHub: Datasets and Benchmarks for Chemical Mixture Property Prediction☆29Feb 27, 2026Updated 2 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.
- Code for Mesh Transformer describes in the EAGLE dataset☆42Feb 21, 2025Updated last year
- Attention mechanism-based neural operator models to solve both forward and inverse problems.☆16May 30, 2025Updated 11 months ago
- About Code Release for "Solving High-Dimensional PDEs with Latent Spectral Models" (ICML 2023), https://arxiv.org/abs/2301.12664☆85Apr 10, 2025Updated last year
- ☆56Jul 21, 2025Updated 9 months ago
- ☆64Jul 10, 2023Updated 2 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆27Oct 14, 2025Updated 6 months ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆15Dec 21, 2021Updated 4 years ago
- ☆18Oct 6, 2025Updated 6 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.
- AI, especially Deep Learning, has made breakthroughs in learning from Brain Signals, vital for both Brain Encoding and Decoding. Unlock t…☆15Sep 17, 2025Updated 7 months ago
- ☆15Nov 18, 2024Updated last year
- ☆70Aug 19, 2025Updated 8 months ago
- MIONet: Learning multiple-input operators via tensor product☆46Nov 13, 2022Updated 3 years ago
- ☆94May 15, 2025Updated 11 months ago
- AstroAgents: Multi-Agent AI for Hypothesis Generation from Mass Spectrometry Data☆14Apr 1, 2025Updated last year
- ☆15Oct 25, 2021Updated 4 years ago