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"What we don’t understand, we explain to each other." (J.R. Oppenheimer)
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"What we don’t understand, we explain to each other." (J.R. Oppenheimer)

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StatMixedML/README.md

🎉 Welcome to my GitHub-Repo

I work as a Machine Learning Scientist with special interest in

  • Statistical Machine Learning
  • Probabilistic & Distributional Modeling
  • Neural Time Series Forecasting
  • Foundational Time Series Models
  • Representation Learning
  • Deep Learning for Tabular Data
  • Transfer Learning
  • Tree-Based Modeling
  • ...

💡 I'm currently working on

Extensions of the major decision tree algorithms to a probabilistic framework that models and predicts the entire conditional distribution of univariate and multivariate targets as a function of covariates.



💻 Languages and Tools

💭 Ask me anything about

My areas of interest. But I am also more than happy for an exchange on other interesting topics.


💬 Favourite Quotes

"With four parameters I can fit an elephant, and with five I can make him wiggle his trunk."

— John von Neumann


"For the true is the indicator both of itself and of the false."

— Baruch Spinoza


"I want AI to do my laundry and dishes so that I can do art and writing, not for AI to do my art and writing so that I can do my laundry and dishes."

— Joanna Maciejewska


"What we don't understand, we explain to each other."

— J. Robert Oppenheimer


"An expert is a person who has made all the mistakes that can be made in a very narrow field."

— Niels Bohr


📈 GitHub Stats


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  1. XGBoostLSS XGBoostLSS Public

    An extension of XGBoost to probabilistic modelling

    Python 563 59

  2. LightGBMLSS LightGBMLSS Public

    An extension of LightGBM to probabilistic modelling

    Python 276 28

  3. CatBoostLSS CatBoostLSS Public

    An extension of CatBoost to probabilistic modelling

    141 13

  4. Py-BoostLSS Py-BoostLSS Public

    An extension of Py-Boost to probabilistic modelling

    Python 20

  5. ConvTS-Mixer ConvTS-Mixer Public

    Time Series Extension of "Patches Are All You Need"

    Jupyter Notebook 7

  6. Hyper-Trees Hyper-Trees Public

    Forecasting with Hyper-Trees

    14 1