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. Estimators
• 5. Summary Networks
• 6. Inference Networks
• 7. Masking
• 8. Workflows
• 9. Saving & Loading Models
• 10. Diagnostics and Visualizations
• 11. Using Datasets in BayesFlow