DeepXDE and PINN
☆156May 20, 2022Updated 4 years ago
Alternatives and similar repositories for DeepXDE-and-PINN
Users that are interested in DeepXDE-and-PINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A library for scientific machine learning and physics-informed learning☆4,177Mar 1, 2026Updated 2 months ago
- Physics-informed neural network for solving fluid dynamics problems☆281Jan 28, 2021Updated 5 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆68Updated this week
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆893Feb 8, 2026Updated 3 months ago
- Investigating PINNs☆762Aug 13, 2021Updated 4 years 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.
- Must-read Papers on Physics-Informed Neural Networks.☆1,495Dec 8, 2023Updated 2 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆18Dec 6, 2024Updated last year
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,872Feb 11, 2026Updated 3 months ago
- Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations☆21Jun 3, 2024Updated last year
- ☆215Feb 16, 2024Updated 2 years ago
- PINN for obtaining WSS from sparse data☆76Feb 21, 2024Updated 2 years ago
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated last year
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆170May 15, 2024Updated 2 years ago
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11May 23, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- [NeurIPS 2024] Codebase for PINNacle: A Comprehensive Benchmark of Physics-Informed Neural Networks for Solving PDEs.☆424Feb 11, 2026Updated 3 months ago
- PyTorch Implementation of Physics-informed Neural Networks☆715May 20, 2024Updated 2 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆670Apr 27, 2026Updated last month
- ☆26Jul 7, 2022Updated 3 years ago
- PINN program for computational mechanics☆141Apr 1, 2024Updated 2 years ago
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆25Jun 3, 2025Updated 11 months ago
- Deep-Learning-Based Flow Prediction for CO2 Storage in Shale–Sandstone Formations☆11Jan 27, 2023Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆62Apr 19, 2026Updated last month
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆33Oct 25, 2022Updated 3 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.
- Generative Pre-Trained Physics-Informed Neural Networks Implementation☆121Aug 26, 2025Updated 9 months ago
- Deep Transfer Learning and Time-Frequency Characteristics-Based Identification Method for Structural Seismic Response☆34Sep 14, 2021Updated 4 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆106Oct 24, 2022Updated 3 years ago
- ☆20Feb 16, 2026Updated 3 months ago
- code for Deep Neural Helmholtz Operators for 3D Elastic Wave Propagation and Inversion☆33May 16, 2025Updated last year
- ☆12Apr 18, 2023Updated 3 years ago
- Physics-Informed Neural Network☆95May 10, 2024Updated 2 years ago
- Code for "Machine-Learning Non-Conservative Dynamics for New-Physics Detection" (arXiv: 2106.00026)☆14Aug 1, 2021Updated 4 years ago
- Physics-Informed Neural Networks designed to solve the Two-Dimensional Wave Equation in both TensorFlow and PyTorch. Code is designed to …☆18Nov 3, 2022Updated 3 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.
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- 2nd Order Wave Equation PINN Solution/ TensorFlow & PyTorch☆36Aug 2, 2022Updated 3 years ago
- when using, please cite "Bayesian Physics-Informed Neural Networks for real-world nonlinear dynamical systems", CMAME, https://doi.org/1…☆88Jul 15, 2022Updated 3 years ago
- A GNN-based PDE solver without pre-computed data☆40Jun 11, 2025Updated 11 months ago
- [ICLR24] A boundary-embedded neural operator that incorporates complex boundary shape and inhomogeneous boundary values☆32Dec 5, 2024Updated last year
- Research/development of physics-informed neural networks for dynamic systems☆33Nov 25, 2024Updated last year
- Physics-informed neural networks package☆347Jul 20, 2022Updated 3 years ago