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Achievements

Achievement: QuickdrawAchievement: Pull Sharkx2Achievement: YOLO

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HernandoR/README.md

Hi there, I'm HernandoR 👋

Welcome to my GitHub profile! I'm a passionate software developer with a love for creating innovative solutions and learning new technologies.

About Me

  • 🔭 I’m currently working on various open-source projects and personal development.
  • 🌱 I’m continuously learning and exploring new technologies, frameworks, and tools.
  • 👯 I’m looking to collaborate on open-source projects and innovative ideas.
  • 💬 Ask me about anything related to web development, Python, JavaScript, or any other technology I’ve worked with.
  • 📫 How to reach me: Email | LinkedIn
  • ⚡ Fun fact: I love hiking and exploring nature!

Technologies & Tools

Python Rust CPP Docker Git

GitHub Stats

HernandoR's GitHub Stats

Projects

Here are some of my notable projects: %TODO

  • Project 1: A brief description of Project 1.
  • Project 2: A brief description of Project 2.
  • Project 3: A brief description of Project 3.

Feel free to explore my repositories and contribute to any projects that interest you!

Connect with Me

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Thanks for visiting my profile! Have a great day! 😄

Pinned Loading

  1. toolboxes toolboxes Public

    Forked from milq/milq

    Useful code of Lz

    Shell 2

  2. dotfiles dotfiles Public

    Forked from mathiasbynens/dotfiles

    🔧 .files, including ~/.macos — sensible hacker defaults for macOS

    Shell 5

  3. dgl dgl Public

    Forked from dmlc/dgl

    Python package built to ease deep learning on graph, on top of existing DL frameworks.

    Python 1

  4. Vesuvius Vesuvius Public

    Jupyter Notebook 1

  5. Add nvidia for podman Add nvidia for podman
    1 
    curl -s -L https://nvidia.github.io/libnvidia-container/stable/rpm/nvidia-container-toolkit.repo | sudo tee /etc/yum.repos.d/nvidia-container-toolkit.repo
    2 
    sudo yum install -y nvidia-container-toolkit
    3 
    sudo nvidia-ctk cdi generate --output=/etc/cdi/nvidia.yaml
    4 
    nvidia-ctk cdi list
    5 
    sudo nvidia-ctk runtime configure --runtime=docker