Tutorials

The following examples showcase how features of bijx can be combined into a more complete workflow including training.

Examples:

• Continuous flow
  • Training
• Gaussian Mixture Model Training on Spiral Data
  • Data Generation
  • Configuration and Data Generation
  • Model Creation
  • Training Setup
  • Training Loop
  • Results and Analysis
• Scalar field theory
  • Free theory
  • Scalar \(\phi^4\) theory
• SU(3) Normalizing Flow
  • Mathematical Background
  • Setup and Imports
  • Target Density Definition
  • Target Density Visualization
  • Neural Network Architecture
  • Training Infrastructure
  • Training Loop
  • Results Analysis