Models
The models submodule implements common neural network architectures in pytorch
to work with eyetracking data. There are two main classes - Classifier and Regressor,
to solve classification and regression tasks, respectively. They are wrappers
upon the backbone parameter, which could be built using pytorch-implemented
blocks.
Building Blocks
The blocks implemented in models to construct the backbone:
Backbones
Models
Functions
Methods that combine above classes and wrappers.