PreDiCT.IDLab

plotly-resampler

Visualize large time series data with plotly.py

tsflex

Flexible time series feature extraction & processing

pyRDF2Vec

🐍 Python Implementation and Extension of RDF2Vec

powershap

A power-full Shapley feature selection method.

tsdownsample

High-performance time series downsampling algorithms for visualization

sleep-linear

Do not sleep on traditional machine learning for sleep stage scoring

crepes-weighted

Extension of crepes package, to enable weighted conformal prediction and conformal predictive systems that can handle covariate shifts.

INK

Instance Neighbouring by using Knowledge

ts-datapoint-selection-vis

Data Point Selection for Line Chart Visualization: analysis notebooks and implementation details

cct-cmc

Implementation of Conformal Convolution T-learner (CCT) and Conformal Monte Carlo (CMC) learner

MINDWALC

Code & experiments for MINDWALC: Mining Interpretable, Discriminative Walks for Classification of Nodes in a Graph

landmarker

PyTorch-based toolkit for landmark localization

VisCARS

VisCARS: Graph-Based Context-Aware Visualization Recommendation System

causalteshap

data-quality-challenges-wearables

Addressing Data Quality Challenges in Ambulatory Wrist-worn Wearable Monitoring Through Analytical and Practical Approaches

gssp_analysis

Analysis notebooks and scripts of the gssp web app data collection

plotly-resampler-benchmarks

ADDKG

ISWC24 Challenge: Anomaly Detection on Dynamic Knowledge Graphs

dose-response-conformal-prediction

Meta2Concept

IDLab solution for the the "Table Metadata to KG" task in the 2024 "Semantic Web Challenge on Tabular Data to Knowledge Graph Matching" challenge

SPARKS

Repository for the Systematized Procedure for Automating the Retrieval of Knowledge within Smart Industries

TreeNet

Code repository for the paper:"Tree based relational graph aggregation for Electronic Health Record embeddings"

webthing-client-python

Python client for Dynamic Dashboard Webthings

cross-room-CO2-presence-occupancy

context-learning-with-graphs

Code for the paper: "A Perspective On Contextual Learning Using Graph Based Environment Representations"

KGE-for-PMC

mcsa-misalignment

Examining Motor Current Sensors of Low and High Quality: Ablation Study on Window Sizes with a Fault-Emulating Setup

microservices-addkg

potter

Our Python library uses semantic reasoning under the hood to automate the search and build process of relevant, connected and traceable ML pipelines

TALK

Tracking Activities by Linking Knowledge