ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
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Updated
Sep 14, 2026 - Python
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
Implementation of the ClausIE information extraction system for python+spacy
Bayesian Ontology Reasoner
Implementation of Spatial Role Labeling using the Spacy NLP framework.
MDP-ProbLog is a framework to represent and solve (infinite-horizon) MDPs specified by probabilistic logic programming.
Symbolic DNN-Tuner is a system to drive the training of a Deep Neural Network, analysing the performance of each training experiment and automatizing the choice of HPs to obtain a network with better performance.
A Jupyter Book template for interactive ProbLog documents
Mirror of https://codeberg.org/foxy/tree-sitter-prolog. Refer to the original repository for issue tracking
A tool for security assessment of multi-service IoT application deployment in the Fog.
Decima is a proof-of-concept Java implementation of the probabilistic logic programming language ProbLog.
MIT tree-sitter grammars by DataGrout -- currently Prolog (ISO + SWI + ProbLog superset)
Representation and simulation of MDPs in ProbLog
A common knowledge kb kernel and schema.
Benchmarks for PFLP, a library for probabilistic programming in Curry, with comparisons to other probabilistic languages
The code used for the paper: Algebraic Circuits for Decision Theoretic Inference and Learning
A comprehensive OWL ontology for road signs integrating the Vienna Convention taxonomy, the Mapillary Traffic Sign Dataset (MTSD), and advanced probabilistic reasoning for hazard detection.
Interactive ProbLog code boxes for Sphinx and Jupyter Book.
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