User Guide

Attention: This guide provides an entry point into the basic principles of amortized Bayesian workflows with BayesFlow. End-to-end application examples can be found under Examples.

• 1. Introduction
• 2. Simulators
• 3. Data Processing: Adapters
• 4. Approximators
• 5. Summary Networks
• 6. Inference Networks
• 7. Workflows
• 8. Saving & Loading Models
• 9. Diagnostics and Visualizations
• 10. Using Datasets in BayesFlow