Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
☆808Jun 25, 2022Updated 3 years ago
Alternatives and similar repositories for deeponet
Users that are interested in deeponet are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- ☆417Dec 3, 2022Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆378Jul 14, 2023Updated 2 years ago
- A library for scientific machine learning and physics-informed learning☆4,177Mar 1, 2026Updated 2 months ago
- Learning in infinite dimension with neural operators.☆3,648May 11, 2026Updated 2 weeks ago
- ☆536Apr 1, 2025Updated last year
- 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.
- Geometry-Aware Fourier Neural Operator (Geo-FNO)☆331Apr 16, 2026Updated last month
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,872Feb 11, 2026Updated 3 months ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆40Jul 12, 2023Updated 2 years ago
- ☆1,100Apr 9, 2026Updated last month
- Tutorials on deep learning, Python, and dissipative particle dynamics☆222Mar 21, 2026Updated 2 months ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆669Apr 27, 2026Updated 3 weeks ago
- ☆55Oct 9, 2022Updated 3 years ago
- MIONet: Learning multiple-input operators via tensor product☆46Nov 13, 2022Updated 3 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆83Aug 4, 2023Updated 2 years ago
- 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.
- ☆261Oct 14, 2021Updated 4 years ago
- ☆172Jun 27, 2022Updated 3 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆264Feb 1, 2023Updated 3 years ago
- ☆26Jul 7, 2022Updated 3 years ago
- A place to share problems solved with SciANN☆309Nov 6, 2023Updated 2 years ago
- Using graph network to solve PDEs☆447Jun 2, 2025Updated 11 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆715May 20, 2024Updated 2 years ago
- [ICLR 2023] Factorized Fourier Neural Operators☆194Oct 13, 2023Updated 2 years ago
- ☆113Oct 16, 2021Updated 4 years 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.
- Implementing a physics-informed DeepONet from scratch☆62Jul 9, 2023Updated 2 years ago
- Implementation of the deep operator network in pytorch, with examples of solving Differential Equations☆17Mar 30, 2024Updated 2 years ago
- A large-scale benchmark for machine learning methods in fluid dynamics☆278Oct 25, 2025Updated 7 months ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆294Oct 12, 2021Updated 4 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,492Dec 8, 2023Updated 2 years ago
- Physics-informed neural networks with hard constraints for inverse design☆158Nov 21, 2021Updated 4 years ago
- Physics-informed learning of governing equations from scarce data☆171Jul 19, 2023Updated 2 years ago
- PDEBench: An Extensive Benchmark for Scientific Machine Learning☆1,139Mar 30, 2026Updated last month
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆80Apr 24, 2025Updated last year
- 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.
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆110Apr 15, 2022Updated 4 years ago
- Characterizing possible failure modes in physics-informed neural networks.☆152Nov 18, 2021Updated 4 years ago
- ☆15Oct 25, 2021Updated 4 years ago
- ☆130Jul 20, 2022Updated 3 years ago
- ☆47Jul 6, 2023Updated 2 years ago
- Neural operator surrogates for electromagnetic inverse design☆51Feb 28, 2024Updated 2 years ago
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 2 years ago