This program enables you to identify the relative strength of US sector ETF to the SP 500 index.

This project implements a Physics-Informed Neural Network (PINN) using DeepXDE to approximate the gravitational potential field of a two-body system (e.g., Earth and Moon). By embedding Newtonian physics laws into the loss function, the model learns to satisfy both data-driven and physical constraints, demonstrating the fusion of AI and physics.

Example of a PID controller attached to a mass-spring-damper system

Chocolate Series 🍫