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
* [Lisa Meeden](https://www.cs.swarthmore.edu/~meeden/) - Professor in the Computer Science Department at Swarthmore College
* [Jim Marshall](http://science.slc.edu/~jmarshall/) - Professor in the Computer Science Department at Sarah Lawrence College
* [Douglas Blank](https://cs.brynmawr.edu/~dblank/) - Emeritus Professor of Computer Science, Bryn Mawr College; Head of Research at [Comet.ml](https://comet.ml/)
v.1.0.16
Major changes:
aitk.robots:
* Allow distance to work with multi-dimensional points
* Return a copy with get_image() by default
* Fix off-by-one error in add_device_ring; allow device_class to be string
aitk.algorithms:
* Renamed properties of GA to snake_case
* added dependencies; add novelty; use snake_case
* Added GA.mutate_gene(gene)
v.1.0.2
Requires:
* "aitk.robots>=0.7.5"
* "aitk.networks>=0.2.5"
* "aitk.utils>=0.0.5"
v.1.0.1
Requires:
* "aitk.robots>=0.7.4"
* "aitk.networks>=0.2.4"
* "aitk.utils>=0.0.4"