☆26Jul 7, 2022Updated 3 years ago
Alternatives and similar repositories for DeepONet_pytorch
Users that are interested in DeepONet_pytorch are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- This repository contains the code for the paper: Deciphering and integrating invariants for neural operator learning with various physica…☆13Mar 18, 2024Updated 2 years ago
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 2 years ago
- 本项目 利用pytorch实现了一个简易的模块化DeepONet，凭此可以快速的实现一些简易的DeepONet。☆18Jul 2, 2025Updated 9 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
- Contains implementation of PINN using Tensorflow 2.4.0☆14Apr 28, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆16Jan 18, 2024Updated 2 years ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆21Jun 20, 2024Updated last year
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 2 years ago
- Implementing a physics-informed DeepONet from scratch☆61Jul 9, 2023Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 7 months ago
- Implementation of the deep operator network in pytorch, with examples of solving Differential Equations☆17Mar 30, 2024Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆79Aug 4, 2023Updated 2 years ago
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆37Dec 29, 2023Updated 2 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Jun 19, 2024Updated last year
- 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.
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆79Apr 24, 2025Updated 11 months ago
- Reliable extrapolation of deep neural operators informed by physics or sparse observations☆29Jun 4, 2023Updated 2 years ago
- ☆408Dec 3, 2022Updated 3 years ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆369Jul 14, 2023Updated 2 years ago
- ☆11Jan 7, 2025Updated last year
- Encoding physics to learn reaction-diffusion processes☆110Aug 28, 2023Updated 2 years ago
- Separabale Physics-Informed DeepONets in JAX☆23Nov 29, 2024Updated last year
- [ICLR26 Oral] RealPDEBench: A Benchmark for Complex Physical Systems with Paired Real-World and Simulated Data☆68Mar 8, 2026Updated last month
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 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.
- ☆43Sep 2, 2025Updated 7 months ago
- [ICLR 2024] Official implementation for the paper "Continuous Field Reconstruction from Sparse Observations with Implicit Neural Networks…☆18Aug 29, 2025Updated 7 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆31Dec 5, 2024Updated last year
- ☆56Oct 9, 2022Updated 3 years ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆787Jun 25, 2022Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated last year
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆109Apr 15, 2022Updated 3 years ago
- ☆14Feb 16, 2026Updated last month
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R …☆21Jul 20, 2023Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Code for training and inferring acoustic wave propagation in 3D☆44Mar 8, 2026Updated last month
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆105Oct 24, 2022Updated 3 years ago
- ☆12May 3, 2023Updated 2 years ago
- ☆20Aug 24, 2025Updated 7 months ago
- ☆33Oct 6, 2022Updated 3 years ago
- ☆16Feb 22, 2025Updated last year
- Libraries for interfacing to ATP-EMTP and line impedance calcs☆15Aug 11, 2016Updated 9 years ago