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JHSchlegel/README.md

Hi there 👋

I'm Jan Schlegel, a driven MSc Statistics student at ETH Zurich, deeply fascinated by the worlds of mathematical statistics and machine learning. Beyond the numbers, I'm a coder fluent in Python, R, and several other data science tools. Currently, I'm applying my expertise in various projects, focusing on leveraging statistical methods to solve complex problems.

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  1. Deep-Reinforcement-Learning-Algorithms-with-PyTorch Deep-Reinforcement-Learning-Algorithms-with-PyTorch Public

    Forked from p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch

    PyTorch implementations of deep reinforcement learning algorithms and environments

    Python

  2. rpapers rpapers Public

    R Package with useful plotting utilities for papers

    R 1

  3. Conditional-GAN Conditional-GAN Public

    Image classification based on images synthesized by a conditional GAN

    Python 1

  4. ML-From-Scratch ML-From-Scratch Public

    C++

  5. ML4Healthcare ML4Healthcare Public

    Repository for the coding projects of ML for Healthcare at ETHZ

    Jupyter Notebook

  6. VisionTransformer VisionTransformer Public

    A simple implementation of a Vision Transformer

    Python