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beduffy/README.md

My journey through technology:

  • Hobby Game Development (2014-2017)
  • Web Development (2015+): Every job I have had required it
  • Computer Vision (2015+)
  • Deep Learning (2014+)
  • Data Science and Engineering, NLP (2017-2019)
  • Reinforcement Learning (2017-2019)
  • Full-stack Robotics (2019+): hardware (actuators, sensors, mechatronics and rapid prototyping) and software (perception, control, SLAM, navigation, manipulation, integration and testing). I love this because everything I have learned previously coalesces and compounds to be useful to some extent for this field.
  • Radar and Digital Signal Processing (2021+): Trying to sense breathing through walls
  • Learning CAD + 3D printing for personal mechatronics + software projects (2023+)
  • Humanoid robots (2024+)

Check out the startup I co-founded: bearcover.de
And MTank themtank.org

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  1. TheMTank/RL-code-resources TheMTank/RL-code-resources Public

    A collection of Reinforcement Learning GitHub code resources divided by frameworks and environments

    65 8

  2. TheMTank/cups-rl TheMTank/cups-rl Public

    Customisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated At…

    Python 48 7

  3. TheMTank/GridUniverse TheMTank/GridUniverse Public

    Old and new Reinforcement Learning algorithms run on the GridUniverse ecosystem

    Python 22 5

  4. TheMTank/ai-distillery TheMTank/ai-distillery Public

    Automatically modelling and distilling knowledge within AI. In other words, summarising the AI research firehose.

    Python 21 5

  5. VideoUnderstanding VideoUnderstanding Public

    Computer Vision undergraduate thesis/project from 2015 applying Faster RCNN+YOLO+Scene Classification+Scene splitting+scene change detection with results all displayed in fancy Flask web app with s…

    JavaScript 1

  6. many-quadrupeds many-quadrupeds Public

    20 4