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KU Leuven Machine Learning Research Group's Projects

ai-course-demos icon ai-course-demos

Links to & implementations of demos for the course "Artificiële Intelligentie" at KU Leuven

amie icon amie

Automatic Monitoring of Indoor Exercises

catlog icon catlog

Gradient estimation of discrete probabilistic models with the CatLog-Derivative trick

cobras icon cobras

Interactive clustering with super-instances

count-cp icon count-cp

COUNT-CP is a constraint learner that uses a generate-and-aggregate approach to learn CP models

decaprio icon decaprio

Sequential model based optimization with adaptive capping and prior distributions

deepproblog icon deepproblog

DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.

deepseaproblog icon deepseaproblog

The official implementation of DeepSeaProbLog, a neural probabilistic logic programming language supporting discrete and continuous random variables.

etsy icon etsy

Synchronize soccer event and tracking data

genlex icon genlex

Implentation of a Semantic Parser that maps natural/instructional language to a logical expression.

hassle-gen icon hassle-gen

This repository contains the code for our paper: Senne Berden, Mohit Kumar, Samuel Kolb, and Tias Guns (2022): Learning MAX-SAT Models from Examples using Genetic Algorithms and Knowledge Compilation, CP 2022

incal icon incal

Learn SMT(LRA) constraints from data

jsdd icon jsdd

Java wrapper for the sdd 2.0 c library

kbc-as-pu-learning icon kbc-as-pu-learning

Source code & appendices accompanying the AAAI2022 paper "Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias"

learnsdd icon learnsdd

Implementation of the Structure Learning Algorithm for Sentential Decision Diagrams

locomotif icon locomotif

LoCoMotif is a time series motif discovery method that discovers variable-length motif sets in multivariate time series using time warping

ml-project-2023-2024 icon ml-project-2023-2024

Template and instructions to submit a solution for the assignment for the KU Leuven course ML Project

ocus-explain icon ocus-explain

Efficient Explaining CSPs with Unsatisfiable Subset Optimization

problog icon problog

ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.

psipy icon psipy

Python wrapper for the PSI-Solver (probabilistic symbolic inference)

py-dreaml icon py-dreaml

Python package of DreaML for relational mixed discrete-continuous learning and inference

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