user guide

PyTorchLabFlow is a modular deep learning framework designed for building flexible, reusable, and composable deep learning pipelines.

Contents:

• Concepts
  • Component
  • Pipeline
• User Workflow
  • Prerequisites
  • Step 1: Define Your Project Configuration
  • Step 2: Run the Project Creation Function
  • Step 1: Design your components
  • Step 2: Define Experiment Configuration
  • Step 3: Create a New Experiment
  • Step 4: Start Training
  • Extra Utilities
  • Step 5: Plot Comparative Performances
  • config matching
• Templates
  • models
  • datasets
  • losses
  • optimizers
  • metrics