Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
☆41Nov 2, 2024Updated last year
Alternatives and similar repositories for separable-operator-networks
Users that are interested in separable-operator-networks are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Separabale Physics-Informed DeepONets in JAX☆29Nov 29, 2024Updated last year
- Data-driven and Physics-informed Operator Learning via Gaussian Processes☆14Oct 24, 2024Updated last year
- Code release of "DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design", DAC 2023. https://arxiv.org/pdf/2302.…☆40Sep 3, 2024Updated 2 years ago
- Physics-informed radial basis network☆43May 20, 2024Updated 2 years ago
- ☆27Jul 7, 2022Updated 4 years ago
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆11Jan 7, 2025Updated last year
- Deep finite volume method☆23Jun 26, 2024Updated 2 years ago
- ☆22May 25, 2024Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆85Aug 4, 2023Updated 3 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- Generative Learning for Forecasting the Dynamics of High Dimensional Complex Systems☆44Mar 10, 2025Updated last year
- the Use of Scripting for 3D Visualization☆19Aug 15, 2024Updated 2 years ago
- ☆64Jul 21, 2025Updated last year
- 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.
- Wavelet Neural Operator for solving parametric partialdifferential equations in computational mechanics problems☆62Aug 19, 2025Updated last year
- This is a C++ source package for three-dimensional magnetotelluric forward modeling and inversion using unstructured tetrahedral meshes☆29May 19, 2025Updated last year
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆16May 27, 2024Updated 2 years ago
- AI-CFD hybrid solver.☆20Apr 21, 2026Updated 5 months ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆18Dec 6, 2024Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- ☆14Jun 3, 2024Updated 2 years ago
- ☆50Jul 6, 2023Updated 3 years ago
- Code for the paper: Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws throu…☆11Dec 27, 2022Updated 3 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆14Oct 14, 2024Updated 2 years ago
- [NeurIPS 2023 Spotlight] Separable Physics-Informed Neural Networks☆95Oct 25, 2023Updated 2 years ago
- Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*☆20Mar 4, 2023Updated 3 years ago
- SymDer: Symbolic Derivative Approach to Discovering Sparse Interpretable Dynamics from Partial Observations☆27Aug 12, 2022Updated 4 years ago
- ☆29Dec 21, 2023Updated 2 years ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆37Jan 15, 2024Updated 2 years ago
- Tools to work with magnetotelluric transfer functions, based on MTH5 and mt-metadata. This is an update to mtpy.☆63Updated this week
- Benchmarking of diffusion models for global field reconstruction from sparse observations☆33Mar 22, 2026Updated 6 months ago
- ☆33Oct 6, 2022Updated 4 years 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.
- Implementing a physics-informed DeepONet from scratch☆64Jul 9, 2023Updated 3 years ago
- ☆11Mar 18, 2023Updated 3 years ago
- ☆40Jul 10, 2024Updated 2 years ago
- Solving High Frequency and Multi-Scale PDEs with Gaussian Processes (ICLR 2024)☆26Jun 7, 2024Updated 2 years ago
- ☆35Jan 5, 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
- ☆53Oct 3, 2022Updated 4 years ago