Skip to content
View fabridamicelli's full-sized avatar

Sponsoring

@quii
@tjdevries
@lpil

Block or report fabridamicelli

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Please don't include any personal information such as legal names or email addresses. Maximum 100 characters, markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
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.

A couple of Python packages that I created and maintain:
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     

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.

Pinned Loading

  1. cronex.nvim cronex.nvim Public

    Human-readable inline cron expressions in Neovim

    Lua 50 2

  2. echoes echoes Public

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

    Python 37 8

  3. kuramoto kuramoto Public

    Python implementation of the Kuramoto model

    Python 130 27

  4. torchserve-docker torchserve-docker Public

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

    Python 5

  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