Welcome to SparseLearning’s documentation!

This repository hosts source code for our reproducibility report on Rigging the Lottery: Making all Tickets Winners, published at ICML 2020.

User Documentation:

• Getting Started
  • Install
  • W&B API key
  • Unit Tests
• Example Code
  • Train WideResNet-22-2 with RigL on CIFAR10
  • Train ResNet-50 with SNFS on CIFAR100
  • Evaluate WideResNet-22-2 with RigL on CIFAR10
  • Evaluate ResNet-50 with SNFS on CIFAR100
• Main Results
  • Pre-trained Models
  • Commands
  • Table of Results
• Code Structure
  • Print current config
  • Understanding the config setup
  • Overrriding options / group configs
  • Exhaustive config options
  • Using specific configs
• References

API Documentation:

• sparselearning package
  • Subpackages
  • sparselearning.core
• visualization package
  • visualization.alpha_deltaT
  • visualization.density_distribution
  • visualization.erk_vs_random_FLOPs
  • visualization.lr_tuning
  • visualization.main_plots
  • visualization.main_results
  • visualization.redist_inference_plot
• models package
  • models.resnet
  • models.wide_resnet

Indices and tables

• Index

• Module Index

• Search Page