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Code for the paper "Topological Autoencoders" by Michael Moor, Max Horn, Bastian Rieck, and Karsten Borgwardt.
A universal time series representation learning framework
π§ π β 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 Webβ¦
This is the description of the comparisive car-following dataset for studying driving behaviours when following AVs vs. HVs.
π π π‘ Orange: Interactive data analysis
Code for "Learning Graph Cellular Automata" (NeurIPS 2021).
Official implementation of E(n)-equivariant Graph Neural Cellular Automata
Summarized versions of certain datasets for fast iteration.
Some Python Implementations of the Kalman Filter
2 Dimensional Kolmogorov-Smirnov test for goodness-of-fit
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
π§ π¬ 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