Explore industry-inspired AI projects for classroom learning, hackathons and workshops.
Compare models, metrics, confusion matrices, and error examples.
Track datasets, parameters, metrics, and model artifacts.
Simulate data drift and show performance change over time.
Deploy a trained model behind an API and test it from a web client.