Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.

A universal time series representation learning framework

🚧 🚔 ⚠ Toolbox to compute Criticality Measures for Automated Vehicles

Official documentation of I-24 MOTION data products

This is the code corresponding to the experiments conducted for the work "End-to-end deep representation learning for time series clustering: a comparative study" (Baptiste Lafabregue, Jonathan Web…

A roundabout traffic conflict dataset

Conflict resolution dataset

This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.

🍊 📊 💡 Orange: Interactive data analysis

Code for "Learning Graph Cellular Automata" (NeurIPS 2021).

Official implementation of E(n)-equivariant Graph Neural Cellular Automata

Source code for UQnet

Summarized versions of certain datasets for fast iteration.

Some Python Implementations of the Kalman Filter

2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit

Pure-python package for map matching

Leuven.MapMatching toolbox for aligning GPS measurements to locations on a map.

a QGIS-plugin for matching a trajectory with a network using a Hidden Markov Model and Viterbi algorithm

M2I is a simple but effective joint motion prediction framework through marginal and conditional predictions by exploiting the factorized relations between interacting agents.

WeightedSHAP: analyzing and improving Shapley based feature attributions (NeurIPS 2022)

A python streamlit dashboard app which visualizes data in an interactive folium map.

Official github page of UCF SST CitySim Dataset

🧠💬 Articles I wrote about machine learning, archived from MachineCurve.com.

Package implementing various parametric and nonparametric methods for conditional density estimation

Roundtrip: density estimation with deep generative neural networks