User Guide

Attention: This guide is in a very early stage, and for now mostly copies what you can also find in the Examples. We plan to evolve this into a more comprehensive user guide, with more detailed information on each topic. If you want to contribute, feel free to open an issue or a pull request, we welcome contributions to the documentation.

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