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…

Federated Learning for Smart Grids with Simulator Adapters

A Julia package for synthetic data analysis, advanced imputation (ARIMA, RNN), AutoML, and ensemble modeling.

🧠 Blockchain-Enhanced Federated Learning Simulator for Secure AI Collaboration

EdgeFL is a modular Python library for simulating federated learning in edge-based IoT environments, focusing on privacy-aware environmental monitoring in smart cities. It supports advanced aggrega…

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

This open educational course introduces students and professionals to the fundamentals of data analysis and machine learning using the Julia programming language. Designed as a modern, hands-on gui…

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

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

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

Machine Learning Unlocked: A Practical Guide for Students with Python and Jupyter Notebook