Presenter: Nast Shahparian, SHARCNET

Comet is an easy-to-use platform for tracking and optimizing machine learning experiments. It integrates with popular frameworks like TensorFlow and PyTorch, allowing users to log metrics, hyperparameters, and model results. Comet helps visualize experiment progress in real-time, tune hyperparameters, and ensure reproducibility. A live demo will show how Comet improves collaboration, model performance, and tracks the environmental impact of machine learning projects.