MLToolbox

MLToolbox offers tools to make NN models FHE-friendly while minimizing performance degradation. The MLToolbox tutorial delve into the process of making models FHE-friendly and shows how MLToolbox simplifies this task.

Resources

• Datasets
• Neural Network FHE models.

Classes

arguments.Arguments(model, dataset_name, ...)	This class defines the user arguments object, and sets the default values for some parameters
poly_activation_converter.PolyActivationConverter(...)	This class helps in the FHE conversion of the model; namely the activation replacement.
poly_activation_converter.Trainer(args[, ...])	This class represents a training object, that has all the needed components for a training, like dataLoaders, optimizer, model etc.