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@HPI-Information-Systems @aeon-toolkit @TimeEval
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CodeLionX/README.md

Hi there, I'm Sebastian Schmidl πŸ‘‹

I'm a software engineer and PhD student at the chair for Information Systems (πŸ’») at Hasso Plattner Institut for Digital Engineering (HPI). Currently, I'm working in the distributed computing research group, where we investigate computationally complex problems and how they can be solved in distributed environments.

πŸ”­ Research Interests

  • Scalable and reactive systems, especially using actor programming concepts
  • Time series anomaly detection
  • Distributed computing
  • Data profiling

πŸ’» Current open-source activity

  • Maintainer @ TimeEval - An Evaluation Tool for Anomaly Detection Algorithms on Time Series
  • Core developer @ aeon - A toolkit for conducting machine learning tasks with time series data

πŸ“« How to reach me


Sebastian Schmidl's GitHub stats

Pinned

  1. distod distod Public

    DISTOD algorithm: Distributed discovery of bidirectional order dependencies

    Scala 9 2

  2. actordb actordb Public

    Actor Database System Framework using Akka

    Scala 2

  3. pyonlinesvr pyonlinesvr Public

    Python-Wrapper for Francesco Parrella's OnlineSVR C++ implementation with scikit-learn-compatible interface.

    C++ 5

  4. TimeEval/GutenTAG TimeEval/GutenTAG Public

    GutenTAG is an extensible tool to generate time series datasets with and without anomalies; integrated with TimeEval.

    Python 65 13

  5. TimeEval/TimeEval TimeEval/TimeEval Public

    Evaluation Tool for Anomaly Detection Algorithms on Time Series

    Jupyter Notebook 77 13

  6. TimeEval/TimeEval-algorithms TimeEval/TimeEval-algorithms Public

    Time series anomaly detection algorithm implementations for TimeEval (Docker-based)

    Python 109 29