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SebastianSchmidl/README.md

Hi there, I'm Sebastian Schmidl πŸ‘‹

I'm a software engineer for distributed systems at Snowflake ❄️.

I completed my PhD at the chair for Information Systems (πŸ’») at Hasso Plattner Institut for Digital Engineering (HPI), where I investigated computationally complex problems in distributed environments and for time series anomaly detection.

My Skills


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


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  1. TimeEval/TimeEval TimeEval/TimeEval Public

    Evaluation Tool for Anomaly Detection Algorithms on Time Series

    Jupyter Notebook 160 19

  2. TimeEval/TimeEval-algorithms TimeEval/TimeEval-algorithms Public

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

    Python 170 32

  3. aeon-toolkit/aeon aeon-toolkit/aeon Public

    A toolkit for time series machine learning and deep learning

    Python 1.4k 269

  4. TimeEval/GutenTAG TimeEval/GutenTAG Public

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

    Python 97 17

  5. distod distod Public

    DISTOD algorithm: Distributed discovery of bidirectional order dependencies

    Scala 9 2

  6. HPI-Information-Systems/DendroTime HPI-Information-Systems/DendroTime Public

    Progressive HAC system for variable-length time series

    TypeScript