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Gio200023/README.md
  • 🌍 Based in Leiden, The Netherlands
  • 🧠 Currently keeping HPC clusters alive at ClusterVision — TrinityX, TrinityX Airgap, and MILA (my AI-assisted Linux admin sidekick)
  • 🖥️ Off the clock: a homelab with a k3s cluster spread across different countries, Home Assistant on Proxmox, and whatever breaks next
  • ⚡ Fun fact: taught a microcontroller to learn a new digit in under a few milliseconds for my BSc thesis

🧰 Stack

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  1. Continual-Learning-on-Max78000 Continual-Learning-on-Max78000 Public

    C

  2. ADM-3-Compression ADM-3-Compression Public

    Jupyter Notebook

  3. Cartpole-DQN Cartpole-DQN Public

    Deep Q-learning Reinforcement Learning implementation using a Cartpole from gym environment

    Python 2

  4. UPDuino2 UPDuino2 Public

    Verilog 1

  5. Lunar-Lander-RL Lunar-Lander-RL Public

    Several implementation of Reinforcement Learning algorithms using Lunar Lander from Gym environment.

    Python

  6. Scaling-Web-Application Scaling-Web-Application Public

    Python