• Tutorial 1: Finetuning Models
  • Inherit base configs
  • Modify head
  • Modify dataset
  • Modify training schedule
  • Use pre-trained model
• Tutorial 2: Customize Datasets
  • Support new data format
  • Customize datasets by dataset wrappers
  • Modify Dataset Classes
• Tutorial 3: Custom Data Pipelines
  • Design of Data pipelines
  • Extend and use custom pipelines
• Tutorial 4: Customize Models
  • Develop new components
• Tutorial 5: Customize Runtime Settings
  • Customize optimization settings
  • Customize training schedules
  • Customize workflow
  • Customize hooks
• Tutorial 6: Customize Losses
  • Computation pipeline of a loss
  • Tweaking loss
  • Weighting loss (step 2)