Welcome to fairlib’s documentation!

Tutorials & Explanations

• fairlib Quick-start
• Interactive Demos
• Adding Customized Datasets
• Adding Customized Evaluation Metrics
• Adding Customized NN Architecture
• Adding Customized Debiasing Methods

Component Reference

• Benchmark Datasets
• Bias Detection
• Bias Mitigation
• Hyperparameter Tuning

Scripts Reference

• fairlib Cheat Sheet
  • Basic operation
  • Additional options
  • Reproducibility
  • Manipulate Label Distribution
• Analysis Robustness to Label Distribution
  • Manipulating Data Distribution

API Reference

• Analysis Module
  • fairlib.src.analysis.load_results
  • fairlib.src.analysis.tables_and_figures
  • fairlib.src.analysis.utils
• Evaluator Module
  • fairlib.src.evaluators.__init__
  • fairlib.src.evaluators.evaluator
  • fairlib.src.evaluators.utils
• DataLoader Module
  • fairlib.src.dataloaders.__init__
  • fairlib.src.dataloaders.encoder
  • fairlib.src.dataloaders.loaders
  • fairlib.src.dataloaders.utils
  • fairlib.src.dataloaders.generalized_BT
• Network Module
  • fairlib.src.networks.__init__
  • fairlib.src.networks.classifier
  • fairlib.src.networks.augmentation_layer
  • fairlib.src.networks.utils
• Debiasing Module
  • fairlib.src.dataloaders.BT
  • fairlib.src.networks.DyBT
  • fairlib.src.networks.FairCL
  • fairlib.src.networks.INLP
  • fairlib.src.networks.adv