Physics-informed neural networks package
☆346Jul 20, 2022Updated 3 years ago
Alternatives and similar repositories for pinn
Users that are interested in 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:
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆119Jul 20, 2022Updated 3 years ago
- Python scripts for physics-informed neural networks for corrosion-fatigue prognosis☆40Jul 20, 2022Updated 3 years ago
- ☆130Jul 20, 2022Updated 3 years ago
- Must-read Papers on Physics-Informed Neural Networks.☆1,470Dec 8, 2023Updated 2 years ago
- Investigating PINNs☆752Aug 13, 2021Updated 4 years ago
- 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.
- PyTorch Implementation of Physics-informed Neural Networks☆709May 20, 2024Updated last year
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,758Feb 11, 2026Updated 2 months ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆21Jan 15, 2022Updated 4 years ago
- Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]☆286Oct 12, 2021Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆271Jan 28, 2021Updated 5 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆368Jul 5, 2024Updated last year
- TensorFlow 2.0 implementation of Maziar Raissi's Physics Informed Neural Networks (PINNs).☆267Nov 30, 2023Updated 2 years ago
- Gradient-enhanced physics-informed neural networks for forward and inverse PDE problems☆109Apr 15, 2022Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆247Oct 21, 2024Updated last year
- 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.
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆70May 8, 2022Updated 3 years ago
- Physics-Informed Neural networks for Advanced modeling☆729Updated this week
- A place to share problems solved with SciANN☆309Nov 6, 2023Updated 2 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆659Mar 10, 2026Updated last month
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆162Jul 16, 2020Updated 5 years ago
- Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs…☆535Mar 26, 2026Updated 2 weeks ago
- physics-informed neural network for elastodynamics problem☆161Jan 20, 2022Updated 4 years ago
- Physics Informed Neural Network (PINN) for the wave equation.☆205Jul 16, 2020Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 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.
- PINN in solving Navier–Stokes equation☆129Jun 7, 2020Updated 5 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- ☆253Oct 14, 2021Updated 4 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆219Feb 21, 2023Updated 3 years ago
- Deep learning for Engineers - Physics Informed Deep Learning☆365Dec 20, 2023Updated 2 years ago
- ☆103Dec 22, 2019Updated 6 years ago
- Physics-informed neural networks with hard constraints for inverse design☆155Nov 21, 2021Updated 4 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆194Apr 7, 2024Updated 2 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆259Feb 1, 2023Updated 3 years ago
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Physics-Informed Neural Networks for solving PDEs (bachelor project)☆10Mar 20, 2023Updated 3 years ago
- ☆169Jun 27, 2022Updated 3 years ago
- 🌌 Applications of Physics-Informed ML: A collection of notebooks from my Masters research, exploring how machine learning can solve scie…☆11Nov 9, 2024Updated last year
- TensorFlow 2.0 implementation of Yibo Yang, Paris Perdikaris’s adversarial Uncertainty Quantification in Physics Informed Neural Networks…☆21Mar 25, 2023Updated 3 years ago
- A library for scientific machine learning and physics-informed learning☆4,049Mar 1, 2026Updated last month
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆174Aug 31, 2025Updated 7 months ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago