☆56Oct 9, 2022Updated 3 years ago
Alternatives and similar repositories for Long-time-Integration-PI-DeepONets
Users that are interested in Long-time-Integration-PI-DeepONets are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆12May 3, 2023Updated 2 years ago
- ☆403Dec 3, 2022Updated 3 years ago
- ☆33Oct 6, 2022Updated 3 years ago
- ☆15Oct 25, 2021Updated 4 years ago
- Applications of PINOs☆147Oct 10, 2022Updated 3 years ago
- 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.
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Apr 25, 2024Updated last year
- Code for training and inferring acoustic wave propagation in 3D☆43Mar 8, 2026Updated last month
- ☆13Dec 19, 2023Updated 2 years ago
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆33Oct 25, 2022Updated 3 years ago
- Practicum on Supervised Learning in Function Spaces☆35Feb 17, 2022Updated 4 years 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
- ☆526Apr 1, 2025Updated last year
- ☆17Aug 6, 2024Updated last year
- Repository for sharing code and data assocaited with En-DeepONet architecture☆36Jan 15, 2024Updated 2 years ago
- NordVPN Threat Protection Pro™ • AdTake your cybersecurity to the next level. Block phishing, malware, trackers, and ads. Lightweight app that works with all browsers.
- Code for "DPOT: Auto-Regressive Denoising Operator Transformer for Large-Scale PDE Pre-Training"☆54Jun 10, 2024Updated last year
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 3 months ago
- ☆111Oct 16, 2021Updated 4 years ago
- ☆211Feb 16, 2024Updated 2 years ago
- Multiwavelets-based operator model☆69Feb 16, 2022Updated 4 years ago
- ☆251Oct 14, 2021Updated 4 years ago
- Discovering Conservation Laws using Optimal Transport and Manifold Learning☆22Sep 23, 2023Updated 2 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆30Jan 20, 2025Updated last year
- ☆91Sep 2, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- ☆1,087Mar 18, 2026Updated 3 weeks ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Nov 4, 2024Updated last year
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆369Jul 14, 2023Updated 2 years ago
- ☆19Apr 5, 2024Updated 2 years ago
- Physics-informed neural networks with hard constraints for inverse design☆155Nov 21, 2021Updated 4 years ago
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆31May 16, 2025Updated 10 months ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆787Jun 25, 2022Updated 3 years ago
- This is the implementation of the RecFNO.☆25Feb 21, 2023Updated 3 years ago
- [NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs☆258Jun 14, 2024Updated last year
- Managed hosting for WordPress and PHP on Cloudways • AdManaged hosting with the flexibility to host WordPress, Magento, Laravel, or PHP apps, on multiple cloud providers. Cloudways by DigitalOcean.
- ☆13Apr 7, 2022Updated 4 years ago
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆77Feb 1, 2023Updated 3 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 7 months ago
- ☆26Jul 7, 2022Updated 3 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆151Nov 18, 2021Updated 4 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆89Aug 26, 2025Updated 7 months ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆657Mar 10, 2026Updated last month