Popular GitHub Repositories for Pinns

Code accompanying my blog post: So, what is a physics-informed neural network?

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

PINNs-Torch, Physics-informed Neural Networks (PINNs) implemented in PyTorch.

Solve forward and inverse problems related to partial differential equations using finite basis physics-informed neural networks (FBPINNs)

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

Using Physics-Informed Deep Learning (PIDL) techniques (W-PINNs-DE & W-PINNs) to solve forward and inverse hydrodynamic shock-tube problems and plane stress linear elasticity boundary value problems

PINNs-TF2, Physics-informed Neural Networks (PINNs) implemented in TensorFlow V2.

Efficient, Accurate, and Streamlined Training of Physics-Informed Neural Networks

[ICLR2025 Spotlight] Official implementation of Conflict-Free Inverse Gradients Method

PINNs-JAX, Physics-informed Neural Networks (PINNs) implemented in JAX.

Physics Informed Neural Networks (PINNs) + SPINNs + HyperPINNs with JAX ? Check out our various notebooks to get started ?? Mirror repository of jinns (development happens on Gitlab)

resources pour le cours d'introduction à la programmation des GPUs du mastère spécialisé HPC-AI

Yet another PINN implementation

A physics-informed deep learning architecture for inferring bubble dynamics

A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.

Physics Informed Machine Learning

A set of tools for developing new methods and techniques in physics informed neural networks written in jax.

A pytorch framework for solving PDEs via Physics Informed Neural Networks (PINNs)!

Physics-informed neural networks (PINNs)

Repositorio con el material para el taller sobre PINNs en MAPI-3 2024