Physics-based-deeplearning is a repository dedicated to exploring the intersection of physics and machine learning. It focuses on leveraging deep learning techniques to solve complex physics problems, particularly those related to fluid dynamics and Navier-Stokes equations. This repository collects code examples, research papers, and resources that demonstrate the application of physics-based deep learning approaches. Additionally, it serves as a platform to discuss and collaborate on the latest advancements in this emerging field