Model Serving Toolkit

Deploy models with FastAPI, TensorFlow Serving, Triton, and BentoML. Includes A/B testing and canary patterns.

Production-ready templates, guides, and tools for immediate use.

Continuously updated with latest best practices and patterns.

Comprehensive docs with examples, tutorials, and references.

Get up and running in minutes with step-by-step setup guides.

Evaluate model metrics interactively. Adjust thresholds and see how they affect precision, recall, and F1 scores.

Confidence Threshold: 0.50

Confusion Matrix

Adjust learning rate, batch size, and epochs to see predicted training outcomes.

Learning Rate

Batch Size

Epochs

This demo shows limited functionality. The full version includes all features, source code, documentation, and lifetime updates.

⚡ ML Engineering — Model Serving Toolkit Demo