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lcs-crr/README.md

Hi there 👋 I'm Lucas!

I'm a data scientist at Liebherr and PhD student at the Leiden Institute of Advanced Computer Science (LIACS). Here are a few facts about me:

  • 🔓 Open source enthusiast
  • 🔭 Working on anomaly detection in time series data and writing my PhD thesis on it.
  • 🌱 Currently learning about self-hosting as means to enjoy a privacy-first digital life that is independant of big tech.
  • 📫 How to reach me: Email | LinkedIn

Here are some cool open source projects you might not know:

  • Immich: High performance self-hosted photo and video management solution.
  • Home Assistant: Open source home automation that puts local control and privacy first.
  • Paperless-ngx: A community-supported supercharged document management system.
  • Mealie: A self-hosted recipe manager and meal planner.
  • Stirling PDF: A self-hosted web application that allows you to perform various operations on PDF files.
  • Vaultwarden: Unofficial Bitwarden compatible server written in Rust, formerly known as bitwarden_rs.
  • Radicale: A simple CalDAV (calendar) and CardDAV (contact) server.
  • Donetick: An open-source, user-friendly app for managing tasks and chores, featuring customizable options to help you and others stay organized.
  • Wallos: Visualize your recurring expenses, manage your budget, and save money.

And to monitor and manage all your self-hosted services:

  • Dockge: A fancy, easy-to-use and reactive self-hosted docker compose.yaml stack-oriented manager.
  • Uptime Kuma: A fancy self-hosted monitoring tool.

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  1. Thesis Thesis Public

    This repository contains all code necessary to reproduce the results of my PhD thesis on unsupervised multivariate time-series anomaly detection.

    Python

  2. DQS DQS Public

    A Low-Budget Query Strategy for Enhancing Unsupervised Data-driven Anomaly Detection Approaches

    Python

  3. PATH PATH Public

    A Data Set for Evaluating Online Anomaly Detection Approaches for Discrete Multivariate Time Series

    C 3

  4. TeVAE TeVAE Public

    TeVAE: A Variational Autoencoder Approach for Discrete Online Anomaly Detection in Variable-state Multivariate Time-series Data

    Python 5 1

  5. MA-VAE MA-VAE Public

    MA-VAE: Multi-head attention-based variational autoencoder approach for anomaly detection in multivariate time-series applied to automotive endurance powertrain testing

    Python 11