xmen: fast and reproducible experimentation!

Contents:

• Xmen
  • xmen
  • Installation
  • Tutorials, Examples, Documentation
  • Dependencies
  • Author, Issues, Contributions
• Tutorial
  • Defining Experiments
    • Functional Experiments
    • Class Experiments
  • Running Experiments
    • 1. xmen command line interface
    • 2. Adding an Experiment to Xmen
    • 3. Initialising an experiment folder
    • 4. Update default parameters
    • 5. Register experiments
    • 6. Run experiments
  • Features
    • Experiment Visualisation
    • Git support
    • Automatic Record Keeping
    • Note Taking
    • Conda support
    • Interfacing with the slurm job scheduler
    • Language agnostic experiment configuration
  • Clean Up
  • Next Steps
• Examples
  • Introduction
    • Hello World
    • A little more detail
  • The Monitor Class
    • Logging
    • Messaging
      • Messgaging Multiple Experiments
      • Using a leader
    • A Full example
  • The TorchMonitor Class
    • Automatic Checkpointing
    • Tensorboard Logging
  • Pytorch experiments with Xmen
    • DCGAN using the functional api
    • DCGAN using the class api
    • Generative modelling with inheritance
  • Xmen Meets Pytorch Lightning
• Xmen Experiment Classes
  • Defining Experiments
  • Automatic Documentation
  • Configuring Experiments
  • Inheritance
  • Configuring
  • Registering
  • Running
• Cheat Sheet
  • xmen
• FAQ
  • Create a frozen package
  • Xmen is too slow!
• API
  • functional
  • experiment
  • monitor
    • Monitor
    • TorchMonitor
    • Hooks
    • Helpers
  • lightning
  • utils
  • manager
  • config

Indices and tables

• Index

• Module Index

• Search Page