Implementation of the deep operator network in pytorch, with examples of solving Differential Equations
☆17Mar 30, 2024Updated 2 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:
- DON-LSTM: Multi-Resolution Learning with DeepONets and Long-Short Term Memory Neural Networks☆10Sep 4, 2025Updated 10 months ago
- A hybrid Decoder-DeepONet operator regression framework for unaligned observation data☆10Jul 16, 2023Updated 3 years 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
- Fourier-DeepONet: Fourier-enhanced deep operator networks for full waveform inversion with improved accuracy, generalizability, and robus…☆38Dec 29, 2023Updated 2 years ago
- ☆27Jul 7, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Separabale Physics-Informed DeepONets in JAX☆28Nov 29, 2024Updated last year
- 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 last year
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆85Apr 24, 2025Updated last year
- A comprehensive and fair comparison of two neural operators (with practical extensions) based on FAIR data☆389Jul 14, 2023Updated 3 years ago
- Implementation of Pre-text invariant representation learning algorithm in pytorch☆11May 27, 2020Updated 6 years ago
- Full code for all experiments in the paper "Denoising Hamiltonian Network for Physical Reasoning"☆15Mar 21, 2025Updated last year
- ☆11Jan 7, 2025Updated last year
- ☆14Dec 9, 2024Updated last year
- ☆46Sep 2, 2025Updated 10 months ago
- 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.
- This repository contains MATLAB implementations of the following wall models (WM) for incompressible LES solvers: 1) ODE equilibrium WM (…☆12Jun 7, 2023Updated 3 years ago
- Visual graph rewriting platform☆10Jun 3, 2025Updated last year
- MDPC+：Clustering by fast detection of main density peaks within a peak digraph☆10Feb 4, 2023Updated 3 years ago
- ☆11Apr 19, 2021Updated 5 years ago
- ☆11Sep 23, 2023Updated 2 years ago
- Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators☆831Jun 25, 2022Updated 4 years ago
- Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta☆17Aug 4, 2024Updated last year
- Mean-Shift (MS) Mean-Shift (MS) is widely known as one of the most basic yet powerful tracking algorithms. Mean- Shift considers feature …☆11Dec 21, 2017Updated 8 years ago
- ☆12Apr 1, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- SE-PINN: Solving the Schrödinger Equation via Physics-Informed Machine Learning☆11Dec 17, 2025Updated 7 months ago
- ☆13Dec 19, 2023Updated 2 years ago
- 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
- MATLAB implementation of the RNN-DBSCAN clustering algorithm☆11Dec 7, 2023Updated 2 years ago
- ☆15May 11, 2024Updated 2 years ago
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆85Aug 4, 2023Updated 2 years ago
- This is a new version of Learning Active Learning which uses reinforcement learning☆13May 17, 2022Updated 4 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆145Oct 24, 2025Updated 9 months ago
- Original implementation of fast PINN optimization with RBA weights☆76Sep 11, 2025Updated 10 months ago
- 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.
- Add-on project for Chaste for modelling microvessels.☆10Aug 6, 2024Updated last year
- Pytorch implementation code of Rainformer☆26Jun 6, 2023Updated 3 years ago
- Code for the ICLR 2020 paper "Learning to Control PDEs"☆37Apr 22, 2020Updated 6 years ago
- CUDA Finite Difference Library☆16Aug 21, 2020Updated 5 years ago
- projected Stein variational gradient descent☆12Oct 2, 2021Updated 4 years ago
- One-shot learning for solution operators of partial differential equations☆30Nov 20, 2025Updated 8 months ago
- [ICML 2022] Learning Efficient and Robust Ordinary Differential \\ Equations via Invertible Neural Networks☆11Apr 14, 2023Updated 3 years ago