Toolboxes & Code Repositories
DeepProbLog
Deep Learning and Probabilistic Logic Programming

Description:
DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate. The neural predicate represents probabilistic facts whose probabilites are parameterized by neural networks. For more information, consult the papers listed below.
More Information:
Originates from the AI-Driven Data Science research challenge (FAIR 2019–2023).
Responsible Research Lead: Luc De Raedt
Authors: Robin Manhaeve
Programming Language: Python
Categories: Probabilistic programming, supervised learning, networks and graphs, relational databases, images
Publications:
They can be found here