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About Me:

I'm a machine learning engineer with a background in theoretical physics. I graduated from the Ludwig Maximilian University of Munich, where I delved into the fascinating world of theoretical physics.

🧠 Passionate about physics and machine learning, I've transitioned into the realm of artificial intelligence, contributing to open-source projects and leveraging my skills to solve real-world problems.

🚀 Join me on this exciting journey of continuous learning, exploration, and collaboration in the ever-evolving field of machine learning.

GitHub Streak

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Popular repositories

  1. Graph_Neural_Network Graph_Neural_Network Public

    Jupyter Notebook 1

  2. keyword_graph keyword_graph Public


  3. gini_curves_simulation gini_curves_simulation Public

  4. practical-machine-learning-with-python practical-machine-learning-with-python Public

    Forked from dipanjanS/practical-machine-learning-with-python

    Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

    Jupyter Notebook

  5. LightGBM LightGBM Public

    Forked from microsoft/LightGBM

    A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning …


  6. course-v3 course-v3 Public

    Forked from fastai/course-v3

    The 3rd edition of

    Jupyter Notebook