ML-KULeuven/xmskill

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Updated 10 months ago

ML-KULeuven/xmskill

ML-KULeuven

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socceraction

Convert soccer event stream data to SPADL and value player actions using VAEP or xT

problog

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

deepproblog

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

soccer_xg

A Python package for training and analyzing expected goals (xG) models in soccer.

Jupyter Notebook

cobras

Interactive clustering with super-instances

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.

Jupyter Notebook

SAR-PU

Beyond the Selected Completely At Random Assumption for Learning from Positive and Unlabeled Data

Jupyter Notebook

ETSY

Synchronize soccer event and tracking data

un-xPass

Measuring soccer player's creativity

Jupyter Notebook

deepstochlog

locomotif

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

Jupyter Notebook

LearnSDD

Implementation of the Structure Learning Algorithm for Sentential Decision Diagrams

KBC-as-PU-Learning

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

Jupyter Notebook

ml-project-2023-2024

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

incal

Learn SMT(LRA) constraints from data

the_apples_game

Multi-Agent Learning assignment, Machine Learning Project @ KU Leuven

PyDC

Python wrapper for Distributional Clauses

catlog

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

Jupyter Notebook

ocus-explain

Efficient Explaining CSPs with Unsatisfiable Subset Optimization

Jupyter Notebook

PySDD

tacle

Constraint learning for spreadsheets

JSDD

Java wrapper for the sdd 2.0 c library

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

deepseaproblog

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

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"

Jupyter Notebook

hanoi

RoViLa

Robot platform that uses vision and language as input to reason about the world.

COUNT-CP

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

ai-course-demos

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

betaproblog

ml-project-2021-2022

Template and instructions to submit a solution for the assignment.

py-dreaml

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

psyche

psipy

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

GenLex

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

amie

Automatic Monitoring of Indoor Exercises

Jupyter Notebook