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Achievement: Starstruckx2Achievement: Public SponsorAchievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx2Achievement: Public SponsorAchievement: Pair ExtraordinaireAchievement: Pull Sharkx3Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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fabridamicelli/README.md

Hi, I'm Fabrizio! 👋

🐍 Python 🤖 Machine Learning 📊 Data Science 🚀 Scientific computing

🎓 PhD in Computational Neuroscience, now a 💻 Data Scientist working on fraud detection 🕵🏽 using neural networks and large datasets.

Some projects I created/maintain and people use:

echoes: A scikit-learn compatible package for Machine Learning with Echo State Networks     
kuramoto: Classical model to study synchronization phenomena                                                  
ser: Susceptible-Excited-Refractory, a dynamical model of spreading excitations on graphs     
cronex.nvim: A Neovim Plugin to render inline human-readable cron expressions                    
torchserve-docker: TorchServe images with specific Python version working out-of-the-box  

Check out other Open Source contributions here.

I enjoy 📝 technical writing and teaching. Once in while make a 🎥 video covering Python/ML/Data Science topics.

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  1. cronex.nvim cronex.nvim Public

    A Neovim Plugin to render inline human-readable cron expressions

    Lua 52 2

  2. echoes echoes Public

    Machine Learning with Echo State Networks, a scikit-learn compatible package.

    Python 38 8

  3. kuramoto kuramoto Public

    Python implementation of the Kuramoto model

    Python 139 30

  4. torchserve-docker torchserve-docker Public

    TorchServe images with specific Python version working out-of-the-box.

    Python 6

  5. ser ser Public

    S(usceptible)E(xcited)R(efractory) model on graphs, a dynamical model of spreading excitations

    Python 14 7

  6. python-course python-course Public

    A friendly, hands-on introductory course

    Jupyter Notebook 7