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lars-quaedvlieg/README.md

💫 About Me:

I am currently a Research Scientist Intern at Meta, and recently graduated with a MSc in Data Science from École Polytechnique Fédérale de Lausanne, where I do research in reinforcement learning and graph neural networks. Before starting my master’s, I obtained my BSc in Data Science and Artificial Intelligence at Maastricht University.

My research focus lies in machine learning and artificial intelligence, with a focus on reinforcement learning. Further details about my research can be found on my website.

In my personal time, I very much enjoy skiing, hiking, and field hockey.

🌐 Socials:

LinkedIn

💻 Tech Stack:

Python Java C# LaTeX UNITY Anaconda C CSS3 HTML5 JavaScript Markdown PHP Octave R OpenCV MySQL Postgres Keras NumPy Pandas Plotly PyTorch scikit-learn SciPy TensorFlow LINUX Arduino Gradle Notion Raspberry Pi Trello Docker

📊 GitHub Stats:



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  1. swizz swizz Public

    Modular Python package for simple visualization and ML pipelines.

    Python 10

  2. chronica chronica Public

    on-device Flask-based web application designed to help you create, manage, and visualize notes effectively and securely

    Python 8 1

  3. Reinforcement-Learning-Book Reinforcement-Learning-Book Public

    I have created a small book summarizing concepts from the Reinforcement Learning part of the ATML 2015 course at UCL (https://www.davidsilver.uk/teaching/)

    TeX 42 3

  4. Project-2.1-Risk Project-2.1-Risk Public

    Java 1

  5. Predator-Prey-Unity-MLAgents Predator-Prey-Unity-MLAgents Public

    Jupyter Notebook 4 1