Popular GitHub Repositories for Physics Informed Learning

A library for scientific machine learning and physics-informed learning

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

physics-informed neural network for elastodynamics problem

The SciML Scientific Machine Learning Software Organization Website

A curated list of awesome Scientific Machine Learning (SciML) papers, resources and software

NVFi in PyTorch (NeurIPS 2023)

Tutorials for doing scientific machine learning (SciML) and high-performance differential equation solving with open source software.

A repository for the discussion of PDE tooling for scientific machine learning (SciML) and physics-informed machine learning

Rheology-informed Machine Learning Projects

Using TensorFlow for physics-informed neural networks for scientific machine learning (SciML)

This repo contains the code for solving Poisson Equation using Physics Informed Neural Networks

study code for physics informed machine learning and deep learning

Official Implementation of Integrating Physics-Informed Vectors for Improved Wind Speed Forecasting with Neural Networks

Navier-Stokes oil dynamics in a rectangular 3D tank, physics-informed neural network approach

Going through the tutorial on Physics-informed Neural Networks: https://github.com/madagra/basic-pinn

Physics-based machine learning with dynamic Boltzmann distributions

Data-parallel PINNs with Horovod

Exploring the concepts of Physics Informed Neural Networks. Coding a Physics Informed Neural Network to simulate a harmonic oscillator and solve a simple first-order ordinary differential equation.