Pinned Repositories
cobras
Interactive clustering with super-instances
deepproblog
DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.
deepstochlog
ETSY
Synchronize soccer event and tracking data
problog
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
SAR-PU
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
soccer_xg
A Python package for training and analyzing expected goals (xG) models in soccer.
socceraction
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
soccermix
SoccerMix is a soft clustering technique based on mixture models that decomposes event stream data into a number of prototypical actions of a specific type, location, and direction.
un-xPass
Measuring soccer player's creativity
KU Leuven Machine Learning Research Group's Repositories
ML-KULeuven/socceraction
Convert soccer event stream data to SPADL and value player actions using VAEP or xT
ML-KULeuven/problog
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
ML-KULeuven/deepproblog
DeepProbLog is an extension of ProbLog that integrates Probabilistic Logic Programming with deep learning by introducing the neural predicate.
ML-KULeuven/soccer_xg
A Python package for training and analyzing expected goals (xG) models in soccer.
ML-KULeuven/SAR-PU
Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data
ML-KULeuven/un-xPass
Measuring soccer player's creativity
ML-KULeuven/ETSY
Synchronize soccer event and tracking data
ML-KULeuven/deepstochlog
ML-KULeuven/locomotif
LoCoMotif is a time series motif discovery method that discovers variable-length motif sets in multivariate time series using time warping
ML-KULeuven/LearnSDD
Implementation of the Structure Learning Algorithm for Sentential Decision Diagrams
ML-KULeuven/ml-project-2023-2024
Template and instructions to submit a solution for the assignment for the KU Leuven course ML Project
ML-KULeuven/KBC-as-PU-Learning
Source code & appendices accompanying the AAAI2022 paper "Unifying Knowledge Base Completion with PU Learning to Mitigate the Observation Bias"
ML-KULeuven/the_apples_game
Multi-Agent Learning assignment, Machine Learning Project @ KU Leuven
ML-KULeuven/deepseaproblog
The official implementation of DeepSeaProbLog, a neural probabilistic logic programming language supporting discrete and continuous random variables.
ML-KULeuven/catlog
Gradient estimation of discrete probabilistic models with the CatLog-Derivative trick
ML-KULeuven/comparative-evaluation-of-anomaly-detection-methods
Accompanying repository for the ODD workshop paper: "The Effect of Hyperparameter Tuning on the Comparative Evaluation of Anomaly Detection Methods"
ML-KULeuven/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
ML-KULeuven/ocus-explain
Efficient Explaining CSPs with Unsatisfiable Subset Optimization
ML-KULeuven/pyswip
PySWIP is a Python - SWI-Prolog bridge enabling to query SWI-Prolog in your Python programs. It features an (incomplete) SWI-Prolog foreign language interface, a utility class that makes it easy querying with Prolog and also a Pythonic interface.
ML-KULeuven/tacle
Constraint learning for spreadsheets
ML-KULeuven/ai-course-demos
Links to & implementations of demos for the course "Artificiële Intelligentie" at KU Leuven
ML-KULeuven/COUNT-CP
COUNT-CP is a constraint learner that uses a generate-and-aggregate approach to learn CP models
ML-KULeuven/betaproblog
ML-KULeuven/ml-project-2021-2022
Template and instructions to submit a solution for the assignment.
ML-KULeuven/psipy
Python wrapper for the PSI-Solver (probabilistic symbolic inference)
ML-KULeuven/xmskill
ML-KULeuven/mapl-cirup
MArkov PLanning with CIRcuit bellman UPdates
ML-KULeuven/DeCaprio
Sequential model based optimization with adaptive capping and prior distributions
ML-KULeuven/pu-problog
ML-KULeuven/SimplifySeq
Repository to be used to simplify explanation sequences.