A set of abstract classes defining interfaces.

This script contains a number of interfaces and implementations for Supervised learning with PyTorch.

A set of helper classes for better pipelining of data preprocessing for machine learning and beyond.

Feature preprocessing of data, such as expanding categorical features to numerical ones.

Learning with networks that can process sequential data.

Sequence preprocessing functionality. Extends sklearn transformers to sequences.

Functionality useful for experiments with novel learning algorithms for neural networks, such as novel optimization algorithms.