Python Packages

I created and maintain the following Python packages:

echoes

A scikit-learn compatible package for Machine Learning with Echo State Networks
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  • 🤖 Machine learning with Echo State Networks
  • 🧱 High level API, scikit-learn compatible API, eg fit-predict interface
  • 💨 Fast! (Thanks to numba ✨)
  • 🐍 pip install echoes

kuramoto

Classical model to study synchronization phenomena
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  • 🤹 Implementation of the Kuramoto model on graphs.
  • 🐍 pip install kuramoto

ser

Susceptible-Excited-Refractory, a dynamical model of spreading excitations
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  • 🚥 Implementation of classic SER model on graphs
  • 🏃 Powered by numba for speed.
  • 🐍 pip install ser

Python Course

A friendly, hands-on introduction to Python.
This is a free, short introduction to the Python programming language, emphasizing practical over theoretical aspects and with a focus on data-related tasks.


cronex.nvim

A Neovim Plugin to render in-line, human-readable cron expressions. Cronex is kind of a “client” that allows the Neovim user to integrate and customize “servers” that actually parse the expressions (“explainers”) in a flexible fashion.

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pypkg.guru

Python Package Guru is a search engine for Python Packages that offers a minimalistic and fast exploration of the official Package Index (PyPI).

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crates.guru

Semantic Search of Rust Crates. Explore the official crates.io site but using Natural Language.

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kubeflow-pipeline-uv

A simple implementation of a custom component that helps to manage dependencies of Kubeflow components with uv. Check the blog post here or watch my presentation at PyData Berlin 2025 here:

TorchServe

TorchServe is a popular framework to deploy PyTorch-based neural networks. I have fixed bugs in Dockerfile and build scripts. I have also implemented CI (GitHub) workflows for continuous testing of docker images and containers.


torchserve-docker

Container images with specific TorchServe and Python version working out-of-the-box. This is a GitHub-Action-based cron job that watches for TorchServe releases and automatically generates and pushed the images to Dockerhub.
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Other Contributions

Minor tests/documentation/bug-fixes


For more details, check out my GitHub Profile.

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