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NotAnyMike/README.md

Hi there 👋

I focus on understanding how to make current Machine Learning models understand their surroundings more efficiently. I am currently working on perception through monocular cameras, deeplearning and computer vision. Apart from that, I am also interested in Hierarchical Reinforcement Learning, Autonomous Vehicles and lately in XR.

More:


Disclaimer: life is complex and personal projects as well. Not all code I write ends up here or being public. For more up to date information about my personal projects visit my personal website.

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  1. gym gym Public

    Forked from openai/gym

    An improvement of CarRacing-v0 from OpenAI Gym in order to make the environment complex enough for Hierarchical Reinforcement Learning

    Python 70 25

  2. HRL HRL Public

    Hierarchical Reinforcement Learning (batteries included)

    Jupyter Notebook 43 5

  3. Bayesian_filter Bayesian_filter Public

    Recursive Bayesian estimation

    Jupyter Notebook

  4. BareSfM BareSfM Public

    Bare implementation of SfM

    Python 1

  5. monodepth2 monodepth2 Public

    Forked from nianticlabs/monodepth2

    Monocular depth estimation from a single image

    Jupyter Notebook 1

  6. GaussianProcessSimple GaussianProcessSimple Public

    Simple Gaussian Process Examples from Iain Murray in MLPR

    Jupyter Notebook 1