☆426Dec 3, 2022Updated 3 years ago
Alternatives and similar repositories for Physics-informed-DeepONets
Users that are interested in Physics-informed-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:
- ☆56Oct 9, 2022Updated 3 years ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆831Jun 25, 2022Updated 4 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆389Jul 14, 2023Updated 3 years ago
- ☆548Apr 1, 2025Updated last year
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆677May 31, 2026Updated last month
- 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.
- Implementing a physics-informed DeepONet from scratch☆64Jul 9, 2023Updated 3 years ago
- ☆16Oct 25, 2021Updated 4 years ago
- ☆174Jun 27, 2022Updated 4 years ago
- A library for scientific machine learning and physics-informed learning☆4,309Jun 24, 2026Updated 3 weeks ago
- Applications of PINOs☆149Oct 10, 2022Updated 3 years ago
- Separabale Physics-Informed DeepONets in JAX☆28Nov 29, 2024Updated last year
- Learning in infinite dimension with neural operators.☆3,760Jul 7, 2026Updated last week
- ☆1,113Jun 29, 2026Updated 3 weeks ago
- ☆221Feb 16, 2024Updated 2 years ago
- Virtual machines for every use case on DigitalOcean • AdGet dependable uptime with 99.99% SLA, simple security tools, and predictable monthly pricing with DigitalOcean's virtual machines, called Droplets.
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆41Jul 12, 2023Updated 3 years ago
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆346Apr 16, 2026Updated 3 months ago
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆84Aug 4, 2023Updated 2 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆298Oct 12, 2021Updated 4 years ago
- ☆268Oct 14, 2021Updated 4 years ago
- ☆27Jul 7, 2022Updated 4 years ago
- Using graph network to solve PDEs☆450Jun 2, 2025Updated last year
- Physics-informed neural networks with hard constraints for inverse design☆161Nov 21, 2021Updated 4 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.
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆6,033Feb 11, 2026Updated 5 months ago
- [NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs☆266Jun 14, 2024Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,173Mar 30, 2026Updated 3 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆22Jun 20, 2024Updated 2 years ago
- ☆439Nov 14, 2025Updated 8 months ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 10 months ago
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆21May 3, 2024Updated 2 years ago
- ☆12May 3, 2023Updated 3 years ago
- ☆32Oct 6, 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.
- Original implementation of fast PINN optimization with RBA weights☆76Sep 11, 2025Updated 10 months ago
- Investigating PINNs☆775Aug 13, 2021Updated 4 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆229Feb 21, 2023Updated 3 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆153Nov 18, 2021Updated 4 years ago
- ☆18Aug 6, 2024Updated last year
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆293Sep 28, 2024Updated last year