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I may be slow to respond.
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I may be slow to respond.
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Achievement: YOLOAchievement: Pull Sharkx2

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Achievement: YOLOAchievement: Pull Sharkx2

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TyMill/README.md

๐Ÿ‘‹ Hi there, Iโ€™m Tymoteusz Miller

๐Ÿ’ก Data Scientist ยท AI Researcher ยท Open Science Advocate
๐Ÿง  PhD in Biology ยท Building Scientific Software in Python & Julia
๐Ÿ“˜ Author of Machine Learning Unlocked (2025)
๐ŸŽ“ AI trainer and curriculum developer for universities (AI4Uni, 2024โ€“2027)
๐Ÿ–ฅ๏ธ Currently building a computing cluster @ University of Szczecin

๐Ÿ”ง My Open-Source Projects

Project Description DOI / Link
EcoStackML Stacked ML framework for environmental data ๐Ÿ”— DOI
AI-Aquatica AI for water quality and environmental analysis ๐Ÿ”— DOI
AquaAgent Autonomous environmental reasoning agent ๐Ÿ”— DOI
ChainFL Federated Learning and Blockchain Simulation Framework ๐Ÿ”— DOI
SynthPred.jl Synthetic data & AutoML in Julia ๐Ÿ”— GitHub
ml-julia-course ML tutorials in Julia with Jupyter ๐Ÿ”— GitHub
ml-starter-kit Practical cheatsheets and tutorials for machine learning algorithms with Python ๐Ÿ”— GitHub

๐Ÿง  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

๐Ÿ“ฌ Letโ€™s Connect

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

Visitors

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  1. AI-Aquatica AI-Aquatica Public

    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, visuโ€ฆ

    Python 5 2

  2. -AquaAgent -AquaAgent Public

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

    Python 5 2

  3. EcoStackML EcoStackML Public

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

    Python 3 2

  4. AI4Uni AI4Uni Public

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

    Jupyter Notebook 4 1

  5. ml-starter-kit ml-starter-kit Public

    ๐Ÿ“š Practical cheatsheets and tutorials for machine learning algorithms. ๐Ÿ‡ต๐Ÿ‡ฑ Praktyczne ล›ciฤ…gawki i tutoriale do algorytmรณw uczenia maszynowego.

    Jupyter Notebook 3 1

  6. ChainFL ChainFL Public

    ๐Ÿง  Blockchain-Enhanced Federated Learning Simulator for Secure AI Collaboration

    Python 3