xgxgnpu/Physics-informed-vibe-coding

Physics Informed Machine Learning Tutorials (Pytorch and Jax)

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

A library for scientific machine learning and physics-informed learning

A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on Physics-Informed Machine Learning (PIML) and Physics-Informed Neural Networks (PINNs).

Physics-Informed Neural networks for Advanced modeling

A Library for Advanced Neural PDE Solvers.

Pinneaple is an open-source Physics AI toolkit for Physics-Informed Neural Networks (PINNs), scientific ML, geometry processing, solvers, and reproducible training pipelines.

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