Welcome to KD_Lib’s documentation!

Contents:

• KD-Lib
  • Installation
  • Usage
  • Implemented works
• Installation
  • From source (recommended)
  • Stable release
• Tutorials
  • VanillaKD using KD_Lib
  • Deep Mutual Learning using KD_Lib
  • Label Smooth Regularization using KD_Lib
  • Probability Shift using KD_Lib
  • Route Constrained Optimization using KD_Lib
  • Self Training using KD_Lib
  • Hyperparameter Tuning using Optuna

API:

• Knowledge Distillation
  • Vision
  • Text
  • Common
• Pruning
  • KD_Lib.Pruning.lottery_tickets
• Quantization
  • KD_Lib.Quantization.common
  • KD_Lib.Quantization.dynamic
  • KD_Lib.Quantization.static
  • KD_Lib.Quantization.qat
• Models
  • KD_Lib.models.lenet module
  • KD_Lib.models.lstm module
  • KD_Lib.models.nin module
  • KD_Lib.models.resnet module
  • KD_Lib.models.shallow module

Indices and tables

• Index
• Module Index
• Search Page