PINNeAPPle-Labs/PINNeAPPle

Physics-Informed Neural networks for Advanced modeling

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

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

A library for scientific machine learning and physics-informed learning

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

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).

A Library for Advanced Neural PDE Solvers.

Paper List of Physics-Informed Neural Network (PINN)

This repository containts materials for End-to-End AI for Science