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📘 Reference · information-oriented

Reference

This section provides detailed technical reference documentation for DynVision's components, configurations, and APIs. Each subsection focuses on specific aspects of the toolbox, providing comprehensive information about implementation details, parameters, and usage.

Available References

Model Architectures and Components

Documentation of available model architectures in DynVision and how they utilize different components. This includes:

  • DyRCNN family of models
  • Standard architectures with dynamics
  • Research-specific models
  • Component integration patterns
  • Model configuration guidelines

Dynamics Solvers

Detailed documentation of the neural dynamics implementation:

  • Mathematical foundations
  • Available solvers (Euler, Runge-Kutta)
  • Parameterization and stability
  • Biological phenomena captured
  • Performance considerations

Recurrence Types

Comprehensive guide to available recurrent connection patterns:

  • Self recurrence
  • Full recurrence
  • Depthwise separable patterns
  • Local and topographic connections
  • Biological relevance and efficiency trade-offs

Configuration System

Reference for DynVision's configuration system:

  • Configuration file organization
  • Parameter hierarchy
  • Environment-specific settings
  • Path management
  • Best practices

Codebase Organization

Documentation of DynVision's code structure:

  • Module organization
  • Component relationships
  • Extension points
  • Development patterns
  • Best practices

Loss Functions

Reference for available loss functions:

  • CrossEntropyLoss with temporal masking
  • ActivityLoss for regularization
  • Temporal normalization behavior
  • Loss combination and weighting
  • Presentation pattern integration
  • Performance optimization

Optimizers and Schedulers

Quick reference for training optimization:

  • Available optimizers (Adam, AdamW, SGD, etc.)
  • Learning rate schedulers (Cosine, StepLR, Warmup, etc.)
  • Common training patterns
  • Configuration examples
  • Troubleshooting guide

Planned Extensions

The following reference sections are planned for future documentation updates:

Data Processing

Detailed documentation of data handling components:

  • Dataset implementations
  • Data loaders (PyTorch and FFCV)
  • Transforms and augmentations
  • Processing operations
  • Data configuration

Visualization

Documentation of visualization capabilities:

  • Available plot types
  • Callback system
  • Figure generation
  • Interactive visualizations
  • Customization options

Training and Evaluation

Reference for training and evaluation systems:

  • Training loop implementation
  • Evaluation metrics
  • Checkpointing
  • Performance monitoring
  • Resource management

Command Line Interface

Documentation of available CLI commands:

  • Workflow commands
  • Utility scripts
  • Configuration options
  • Common usage patterns

Contributing

The reference documentation is continuously evolving. If you find missing information or would like to contribute to the documentation:

  1. Check the Documentation Style Guide
  2. Review existing reference documents for consistency
  3. Submit additions or corrections through pull requests

Best Practices

When using the reference documentation:

  1. Start with Overview: Begin with the relevant section overview
  2. Check Related Sections: Look for connections between components
  3. Version Match: Ensure documentation matches your DynVision version
  4. Examples: Run provided examples to understand usage
  5. Cross-Reference: Use links to navigate between related topics

Getting Help

If you can't find what you're looking for:

  1. Use the search function
  2. Check the Tutorials for practical examples
  3. Review the User Guide for how-to instructions
  4. Consult the Explanation for concept clarification
  5. Open an issue for missing documentation