aitk: Artificial Intelligence Toolkit

This collection contains two things: an open source set of Python tools, and a set of computational essays for exploring Artificial Intelligence, Machine Learning, and Robotics. This is a collaborative effort started by the authors, building on almost a century of collective experience in education and research.

The code and essays are designed to require as few computing resources as necessary, while still allowing readers to experience first-hand the topics covered.

Authors

• Douglas Blank - Emeritus Professor of Computer Science, Bryn Mawr College; Head of Research at Comet.ml
• Jim Marshall - Professor in the Computer Science Department at Sarah Lawrence College
• Lisa Meeden - Professor in the Computer Science Department at Swarthmore College

Computational Essays

Each computational essay is described at Computational Essays. Our computational essays and a suggested sequencing through the notebooks can be found in the notebooks folder of this repo.

Artifical Intelligence Toolkit

aitk is a Python package containing the following modules.

• [aitk]() - top level package
  • aitk.robots - for exploring simulated mobile robots, with cameras and sensors
  • aitk.algorithms - for exploring algorithms
  • aitk.networks - for constructing and visualizing Keras deep learning models
  • aitk.utils - for common utilities

AITK Community

For questions and comments, please use https://github.com/ArtificialIntelligenceToolkit/aitk/discussions/.