Implementation of the deep operator network in pytorch, with examples of solving Differential Equations
☆17Mar 30, 2024Updated last year
Alternatives and similar repositories for DeepONet
Users that are interested in DeepONet are comparing it to the libraries listed below
Sorting:
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 2 years ago
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 6 months ago
- Simple demo on implementing data driven and physics informed Deep O Nets in pytorch☆20Jun 20, 2024Updated last year
- A sequential DeepONet model implementation that uses a recurrent neural network (GRU and LSTM) in the branch and a feed-forward neural ne…☆19May 3, 2024Updated last year
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆36Dec 29, 2023Updated 2 years ago
- ☆26Jul 7, 2022Updated 3 years ago
- Implementing a physics-informed DeepONet from scratch☆58Jul 9, 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。☆17Jul 2, 2025Updated 8 months ago
- Separabale Physics-Informed DeepONets in JAX☆21Nov 29, 2024Updated last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆78Apr 24, 2025Updated 10 months ago
- DeepONets, (Fourier) Neural Operators, Physics-Informed Neural Operators, and more in Julia☆31Feb 18, 2026Updated 2 weeks ago
- ☆30Oct 6, 2022Updated 3 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
- Original implementation of fast PINN optimization with RBA weights☆70Sep 11, 2025Updated 5 months ago
- Create and deploy virtual-experiments - co-processing computational workflows☆10Jan 28, 2026Updated last month
- ☆41Sep 2, 2025Updated 6 months ago
- ☆35Jan 5, 2024Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆78Aug 4, 2023Updated 2 years ago
- Interpretable Autoencoder-based Fault Detection for the Energy System☆26Updated this week
- ext_mpi_collectives☆11Apr 1, 2025Updated 11 months ago
- PARADIS, a lightweight and flexible weather forecast model that tries to Keep It Simple.☆26Feb 4, 2026Updated last month
- Memory Topology for GPUs☆17Feb 13, 2026Updated 2 weeks ago
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆358Jul 14, 2023Updated 2 years ago
- Argonne Leadership Computing Facility OpenCL tutorial☆10Aug 22, 2025Updated 6 months ago
- ☆11Feb 27, 2024Updated 2 years ago
- GPU based 2D elastic FWI☆12Mar 6, 2018Updated 7 years ago
- A Deep Learning Approach to Solving PDEs: Implementing Neural Networks with Pytorch and Jax☆10Apr 27, 2023Updated 2 years ago
- Performance Counter Reader☆11Sep 14, 2022Updated 3 years ago
- How to build an ACP compliant agent that uses MCP as well!☆11May 6, 2025Updated 9 months ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated 2 months ago
- ☆11Jan 7, 2025Updated last year
- ☆10Feb 25, 2026Updated last week
- Implementation of Pre-text invariant representation learning algorithm in pytorch☆11May 27, 2020Updated 5 years ago
- OpenMP offload playground☆10Nov 16, 2024Updated last year
- EPOCH Input System Version 2☆10Jun 5, 2020Updated 5 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆54May 30, 2023Updated 2 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆35Apr 22, 2020Updated 5 years ago
- Learning nonlinear operators via DeepONet☆760Jun 25, 2022Updated 3 years ago
- ☆13Apr 15, 2024Updated last year