Official repo for separable operator networks -- extreme-scale operator learning for parametric PDEs.
☆39Nov 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☆25Nov 29, 2024Updated last year
- ☆11Jan 7, 2025Updated last year
- ☆20May 25, 2024Updated 2 years ago
- Implementation of CoLA: Compute-Efficient Pre-Training of LLMs via Low-Rank Activation☆26Feb 18, 2025Updated last year
- the Use of Scripting for 3D Visualization☆19Aug 15, 2024Updated last year
- 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.
- Code release of "DeepOHeat: Operator Learning-based Ultra-fast Thermal Simulation in 3D-IC Design", DAC 2023. https://arxiv.org/pdf/2302.…☆33Sep 3, 2024Updated last year
- Physics-informed radial basis network☆39May 20, 2024Updated 2 years ago
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆15May 27, 2024Updated last year
- Learning with Higher Expressive Power than Neural Networks (On Learning PDEs)☆16Feb 17, 2021Updated 5 years ago
- ☆14Jun 3, 2024Updated last year
- Deep finite volume method☆22Jun 26, 2024Updated last year
- ☆33Oct 6, 2022Updated 3 years ago
- Tools to work with magnetotelluric transfer functions, based on MTH5 and mt-metadata. This is an update to mtpy.☆59Updated this week
- ☆35Jan 5, 2024Updated 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.
- ☆11Mar 18, 2023Updated 3 years ago
- Code for the paper: Physics-informed neural networks for modelling anisotropic and bi-anisotropic electromagnetic constitutive laws throu…☆10Dec 27, 2022Updated 3 years ago
- Neural network based solvers for partial differential equations and inverse problems . Implementation of physics-informed neural networks…☆19May 11, 2022Updated 4 years ago
- ☆26Dec 21, 2023Updated 2 years ago
- Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*☆19Mar 4, 2023Updated 3 years ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆27Nov 6, 2024Updated last year
- Code for "Holistic Physics Solver: Learning PDEs in a Unified Spectral-Physical Space"☆24Mar 25, 2026Updated 2 months ago
- This repository contains code, which was used to generate large-scale results in the HINTS paper.☆39Oct 17, 2024Updated 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
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- ☆71Aug 19, 2025Updated 9 months ago
- Repository for sharing code and data assocaited with En-DeepONet architecture☆36Jan 15, 2024Updated 2 years ago
- ☆15Sep 6, 2025Updated 8 months ago
- Sparse Physics-based and Interpretable Neural Networks☆53Sep 30, 2021Updated 4 years ago
- 2-D Magnetotelluric Inversion with Unstructured Triangular Mesh☆19Dec 23, 2025Updated 5 months ago
- ☆13Dec 5, 2022Updated 3 years ago
- Surrogate Modeling of the Aerodynamic Performance for Transonic Regime☆14Feb 12, 2024Updated 2 years ago
- PinnDE: A Python library for solving differential equations with physics informed neural networks and deep operator networks☆30Aug 21, 2025Updated 9 months ago
- Domain Agnostic Fourier Neural Operators (DAFNO)☆19Sep 3, 2024Updated 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.
- ☆47Jul 6, 2023Updated 2 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 5 months ago
- Code for the paper "Poseidon: Efficient Foundation Models for PDEs"☆184Apr 10, 2025Updated last year
- ☆26Jul 7, 2022Updated 3 years ago
- ☆16Nov 20, 2023Updated 2 years ago
- ☆10Mar 31, 2021Updated 5 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Apr 8, 2020Updated 6 years ago