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
Sorting:
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- This is a repository of scripts developed as part of the 2020 ENCMP100 Section B3 lecture taught at University of Alberta.☆10Apr 2, 2020Updated 5 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
- 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)☆367Jul 5, 2024Updated last year
- This repository provides a PyTorch implementation of the physics informed neural networks by M.Raissi et al.☆11Aug 9, 2021Updated 4 years ago
- Hands-on tutorial for implementing Physics Informed Neural Networks in Pytorch☆60Apr 24, 2025Updated 10 months ago
- A collection of codes and references for deep learning in fluid dynamics☆19Jun 10, 2021Updated 4 years ago
- PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.☆825Feb 8, 2026Updated 3 weeks ago
- Physics-Informed Neural Network☆95May 10, 2024Updated last year
- Playing around with Phyiscs-Informed Neural Networks☆102Jul 8, 2025Updated 7 months ago
- Physics Informed Neural Network (PINN) for the wave equation.☆202Jul 16, 2020Updated 5 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆172Aug 31, 2025Updated 6 months ago
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆27May 17, 2024Updated last year
- ☆10Mar 8, 2023Updated 2 years ago
- Code accompanying my blog post: So, what is a physics-informed neural network?☆668Mar 22, 2022Updated 3 years ago
- A repo to learn and curate PINN☆33May 10, 2024Updated last year
- Original implementation of fast PINN optimization with RBA weights☆70Sep 11, 2025Updated 5 months ago
- Deep Learning for High-Dimensional Time Series☆22Nov 5, 2019Updated 6 years ago
- Physics Informed Machine Learning Tutorials (Pytorch and Jax)☆647Updated this week
- ☆10Mar 18, 2023Updated 2 years ago
- Physics-Informed deep LSTM architecture to forecast Lorenz and MFE fluid systems☆13May 18, 2020Updated 5 years 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
- ☆15Dec 9, 2024Updated last year
- SE-PINN: Solving the Schrödinger Equation via Physics-Informed Machine Learning☆11Dec 17, 2025Updated 2 months ago
- ☆46May 18, 2022Updated 3 years ago
- Implementation of PINNs for burger's and Navier-Stokes equation with PyTorch☆11May 23, 2024Updated last year
- Reduced order modeling with shallow recurrent decoder networks☆20Jan 20, 2026Updated last month
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆17Dec 6, 2024Updated last year
- Simulations using the Finite Difference Time Domain method☆10Dec 15, 2014Updated 11 years ago
- Introductory workshop on using deep neural networks for symbolic regression☆16Feb 8, 2026Updated 3 weeks ago
- Data-guided physics-informed neural networks☆16Jul 16, 2024Updated last year
- This repository contains the MATLAB implementation of popular numerical methods in Computation Fluid dynamics. Starting from simple meth…☆11Dec 3, 2021Updated 4 years ago
- IDRLnet, a Python toolbox for modeling and solving problems through Physics-Informed Neural Network (PINN) systematically.☆243Oct 21, 2024Updated last year
- PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.☆156May 23, 2024Updated last year
- Sparse Physics-based and Interpretable Neural Networks☆53Sep 30, 2021Updated 4 years ago
- Stochastic Physics-Informed Neural Networks: A Moment-Matching Framework for Learning Hidden Physics within Stochastic Differential Equat…☆14Dec 21, 2021Updated 4 years ago
- Spectral solution for 2D Navier-Stokes equations☆14Nov 8, 2016Updated 9 years ago
- ☆13Aug 1, 2023Updated 2 years ago