Basic implementation of physics-informed neural networks for solving differential equations
☆98Dec 26, 2024Updated last year
Alternatives and similar repositories for basic-pinn
Users that are interested in basic-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:
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆161Jul 16, 2020Updated 5 years ago
- Simple PyTorch Implementation of Physics Informed Neural Network (PINN)☆369Jul 5, 2024Updated last year
- Transfer learning on physics-informed neural networks for tracking the hemodynamics in the evolving false lumen of dissected aorta☆17Aug 4, 2024Updated last year
- Code accompanying my blog post: So, what is a physics-informed neural network?☆668Mar 22, 2022Updated 4 years ago
- End-to-end encrypted email - Proton Mail • AdSpecial offer: 40% Off Yearly / 80% Off First Month. All Proton services are open source and independently audited for security.
- 🌌 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
- Physics Informed Neural Network (PINN) for the wave equation.☆203Jul 16, 2020Updated 5 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆840Feb 8, 2026Updated last month
- Simulations using the Finite Difference Time Domain method☆10Dec 15, 2014Updated 11 years ago
- A repo to learn and curate PINN☆33May 10, 2024Updated last year
- Playing around with Phyiscs-Informed Neural Networks☆106Jul 8, 2025Updated 8 months ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆652Mar 10, 2026Updated 2 weeks ago
- ☆47May 18, 2022Updated 3 years ago
- Physics-Informed Neural Network☆95May 10, 2024Updated last year
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- Physics-informed neural network for solving fluid dynamics problems☆269Jan 28, 2021Updated 5 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆245Oct 21, 2024Updated last year
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11May 23, 2024Updated last year
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆172Aug 31, 2025Updated 6 months ago
- some basic algorithms explored on the Yee Grid in FDTD☆14Sep 22, 2018Updated 7 years ago
- ☆12Apr 18, 2023Updated 2 years ago
- Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations☆5,697Feb 11, 2026Updated last month
- Reduced order modeling with shallow recurrent decoder networks☆20Jan 20, 2026Updated 2 months ago
- 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.
- Semi-supervised Invertible Neural Operators for Bayesian Inverse Problems☆15May 27, 2024Updated last year
- Data-guided physics-informed neural networks☆17Jul 16, 2024Updated last year
- ☆10Mar 18, 2023Updated 3 years ago
- A collection of codes and references for deep learning in fluid dynamics☆18Jun 10, 2021Updated 4 years ago
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch☆62Apr 24, 2025Updated 11 months ago
- ☆130Jul 20, 2022Updated 3 years ago
- PINN program for computational mechanics☆134Apr 1, 2024Updated last year
- ☆35Dec 14, 2023Updated 2 years ago
- Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube proble…☆210Feb 21, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- SE-PINN: Solving the Schrödinger Equation via Physics-Informed Machine Learning☆11Dec 17, 2025Updated 3 months ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆53Sep 30, 2021Updated 4 years ago
- codes for PINNs☆12Mar 11, 2021Updated 5 years ago
- ☆15Dec 9, 2024Updated last year
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆40Dec 28, 2018Updated 7 years ago
- ☆10Mar 8, 2023Updated 3 years ago