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giopaglia/README.md

    👋
I'm Giovanni, a PhD student at ACLAI Lab in Ferrara, Italy.

💫 About Me

📚 Been studying Machine Learning & Data Science in 🇮🇹, 🇸🇪, 🇸🇬 & 🇦🇺;
🔭 Currently working on the Sole.jl AI framework;
🌱 Learning all about open source and Julia;
🤝 Looking to collaborate on AI projects for SDGs;
⚡ Checkout my website, my LinkedIn or my CV.

💻 Things I love working with

Julia Python Jupyter LaTeX Bash Git Linux OS.

scikit-learn PyTorch Plotly Keras SciPy Pandas

💻 About Sole.jl

📦 Julia Packages                                                                                   
┣━━ Sole.jl                  - framework for symbolic modeling and learning                         
┣━━ SoleLogics.jl            - model checking engine                                                
┣━━ SoleModels.jl            - analysis and rule extraction from symbolic models                    
┣━━ SoleData.jl              - optimized data structures for learning symbolic models               
┗━━ ModalDecisionTrees.jl    - CART-like learning of trees and forests based on modal logic         
🎙️ Talks                                                                                             
┣━━ Symbolic AI workflows with Sole.jl (JuliaCon2024)                                               
┣━━ Third Millennium Symbolic Learning with Sole.jl (JuliaCon2023)                                  
┗━━ Decision Trees, Meet Modal Logics (JuliaCon2022)

Pinned Loading

  1. aclai-lab/Sole.jl aclai-lab/Sole.jl Public

    Sole.jl – Long live transparent modeling!

    Julia 39 1

  2. aclai-lab/SoleLogics.jl aclai-lab/SoleLogics.jl Public

    Computational logic in Julia!

    Julia 15 8

  3. aclai-lab/SoleModels.jl aclai-lab/SoleModels.jl Public

    Symbolic modeling in Julia!

    Julia 11 1

  4. aclai-lab/SoleData.jl aclai-lab/SoleData.jl Public

    Manage logical datasets!

    Julia 12 2

  5. aclai-lab/ModalDecisionTrees.jl aclai-lab/ModalDecisionTrees.jl Public

    Julia implementation of Modal Decision Trees & Forests, for interpretable classification of spatial and temporal data. Long live Symbolic Learning!!

    Julia 11 1

  6. rooflini rooflini Public

    A Python script for plotting roofline analyses. Intel Advisor style.

    Python 7 4