SPUS-PDE-UNet-36M Navier-Stokes Supervised Learning Model

This is a deep learning model repository on HuggingFace featuring a U-Net architecture with approximately 36 million parameters. The model is specifically designed for solving Navier-Stokes equations in computational fluid dynamics through supervised learning. The v2 version indicates this is an updated release, and the NS-SL designation clearly identifies its focus on Navier-Stokes fluid mechanics using supervised learning methodology.