A Physics-Informed Neural Network for solving Burgers' equation.
☆33Apr 14, 2024Updated last year
Alternatives and similar repositories for burger-pinn
Users that are interested in burger-pinn are comparing it to the libraries listed below
Sorting:
- 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
- Physics-informed neural networks for highly compressible flows 🧠🌊☆29Nov 26, 2023Updated 2 years ago
- Physics Informed Neural Network (PINN) for Burgers' equation.☆75Aug 21, 2024Updated last year
- Solving Burgers equation using Python☆12May 26, 2020Updated 5 years ago
- codes for PINNs☆12Mar 11, 2021Updated 4 years ago
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Jun 19, 2024Updated last year
- Soving heat transfer problems using PINN with tf2.0☆21Jun 27, 2021Updated 4 years ago
- code_sample☆19Jul 17, 2023Updated 2 years ago
- Code and data in support of publication on Cardiac PINN☆23Apr 24, 2021Updated 4 years ago
- This repo is a work in progress aimed at gathering useful open-source resources for CFD engineers in one place. It includes notes, script…☆26Mar 1, 2026Updated last week
- An Essential Graphic Primer of Matplotlib☆31Nov 9, 2021Updated 4 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆29Apr 14, 2023Updated 2 years ago
- Python for Web Scraping Workshop☆10Jun 4, 2021Updated 4 years ago
- A curated list of awesome Physics Informed Neural Network, projects and communities.☆41Nov 15, 2025Updated 3 months ago
- Machine Learning-based Second-order Analysis of Beam-columns through Physics-Informed Neural Networks☆15Feb 18, 2025Updated last year
- Discretization methods for porous media flow problems.☆12Jan 10, 2023Updated 3 years ago
- While Deep Learning is a subset of Machine Learning, the prediction methodology in deep learning is different and works similar to how a …☆11Sep 2, 2021Updated 4 years ago
- The GitHub repository for the paper "Denoising Application of Magnetotelluric Low-Frequency Signal Processing"☆11Feb 22, 2023Updated 3 years ago
- ☆11Apr 12, 2019Updated 6 years ago
- Shallow Learning for Flow Reconstruction with Limited Sensors and Limited Data☆40Dec 28, 2018Updated 7 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)☆368Jul 5, 2024Updated last year
- Repository containing lectures from 2023 Machine Learning course☆11Mar 14, 2023Updated 2 years ago
- The repository contains the codes linked to the SPICY project (Super-resolution and Pressure from Image Velocimetry)☆12Nov 26, 2025Updated 3 months ago
- Parse geosoft (GRD) grid and save as geotiff☆11May 16, 2023Updated 2 years ago
- Notes and examples on how to solve partial differential equations with numerical methods, using Python.☆39Apr 30, 2023Updated 2 years ago
- Hackerank Programming Challenges☆10May 8, 2021Updated 4 years ago
- Discovering Differential Equations with Physics-Informed Neural Networks and Symbolic Regression☆11Jul 28, 2023Updated 2 years ago
- A simple program to simulate the wave equation in one and two dimensions.☆12Jul 5, 2018Updated 7 years ago
- A design optimization study of underwater vehicle using Bayesian optimization and deep learning based surrogate model☆13Mar 13, 2023Updated 2 years ago
- Optimized control of QUARC helicopter☆10Sep 22, 2018Updated 7 years ago
- Release code for "A Bayesian formulation for estimating the composition of Earth's crust"☆10Apr 16, 2023Updated 2 years ago
- This is the code for "Neural Network Reconstruction of Plasma Space-Time" by C.Bard and J.Dorelli (DOI: 10.3389/fspas.2021.732275). It is…☆13Oct 6, 2021Updated 4 years ago
- A simple python based script of the Grunwald Letnikov method for solving fractional-order differential equations☆11Dec 17, 2020Updated 5 years ago
- An Example of 1D inversion magnetotelluric data using Artificial Neural Networks☆13Mar 7, 2022Updated 4 years ago
- ☆13Apr 8, 2024Updated last year
- Dynamic weight strategy of physics-informed neural networks for the 2D Navier-Stokes equations☆14Sep 1, 2022Updated 3 years ago
- Introduction to Partial Differential Equations: Theory and Computations☆10May 3, 2023Updated 2 years ago
- gradient-descent is a package that contains different gradient-based algorithms. The package purpose is to facilitate the user experience…☆10Jul 20, 2024Updated last year