Section: New Software and Platforms

DPPy

Sampling Determinantal Point Processes with Python

Keyword: Determinantal point processes

Functional Description: Determinantal point processes (DPPs) are specific probability distributions over clouds of points that are used as models and computational tools across physics, probability, statistics, and more recently machine learning. Sampling from DPPs is nontrivial and therefore we present. DPPy, a Python toolbox that gathers known exact and approximate sampling algorithms. The project is hosted on GitHub and equipped with an extensive documentation.

• Contact: Guillaume Gautier

• URL: https://github.com/guilgautier/DPPy/