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TyMill/README.md

👋 Hi there, I’m Tymoteusz Miller

💡 Data Scientist · AI Researcher · Open Science Advocate
🧠 PhD in Biology · Building Scientific Software in Python & Julia
📘 Author of Machine Learning Unlocked (2025)
🎓 AI trainer and curriculum developer for universities (AI4Uni, 2024–2027)
🖥️ Currently building a computing cluster @ University of Szczecin

🔧 My Open-Source Projects

ProjectDescriptionDOI / Link
EcoStackMLStacked ML framework for environmental data🔗 DOI
AI-AquaticaAI for water quality and environmental analysis🔗 DOI
AquaAgentAutonomous environmental reasoning agent🔗 DOI
ChainFLFederated Learning and Blockchain Simulation Framework🔗 DOI
SmartBuildSimDeterministic smart-building simulation toolkit🔗 DOI
SynthPred.jlSynthetic data & AutoML in Julia🔗 GitHub
ml-julia-courseML tutorials in Julia with Jupyter🔗 GitHub
ml-starter-kitPractical cheatsheets and tutorials for machine learning algorithms with Python🔗 GitHub

🧠 What I Do

  • Explainable Machine Learning & model stacking
  • AI systems for sustainability, education, and finance
  • Open educational resources and workshops
  • Software development for real-world ML/AI
  • Scientific computing with reproducibility and clarity

📬 Let’s Connect

GitHub Stats

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✨ Building tools, teaching AI, and making science open to everyone.

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  1. AI-AquaticaAI-AquaticaPublic

    AI-Aquatica is an open-source Python library for intelligent water quality analysis. It offers tools for data cleaning, imputation, ion balance verification, statistical analysis, ML modeling, visu…

    Python 5 2

  2. -AquaAgent-AquaAgentPublic

    Autonomous & Interactive AI Agent for Environmental and Water Quality Data Analysis

    Python 5 2

  3. EcoStackMLEcoStackMLPublic

    Modular and explainable stacked machine learning framework for environmental and structured data analysis. Includes preprocessing, evaluation, SHAP explainability, and tutorial notebooks.

    Python 4 2

  4. AI4UniAI4UniPublic

    A repository created for workshops conducted within the AI4Uni project (Erazmus+)

    Jupyter Notebook 4 1

  5. ml-starter-kitml-starter-kitPublic

    📚 Practical cheatsheets and tutorials for machine learning algorithms. 🇵🇱 Praktyczne ściągawki i tutoriale do algorytmów uczenia maszynowego.

    Jupyter Notebook 3 1

  6. ChainFLChainFLPublic

    🧠 Blockchain-Enhanced Federated Learning Simulator for Secure AI Collaboration

    Python 4