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lucamodica/README.md

Hey there folks! 👋

I'm Luca Modica, Data Science and AI graduate @ Chalmers University of Technology and Deep Learning Researcher @ Zenseact. 💭💻🚗

Mainly interested in Deep Learning and interpretability of Multimodal Foundation (Action) Models, from understanding their internal representation of knowledge to the mechanisms that rule their behavior.

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  1. muse-project muse-project Public

    Multimodal Understanding of Sentiment and Emotion (MUSE): a comprehensive exploration of emotion and sentiment recognition in conversations using the MELD dataset, comparing baseline architectures,…

    Jupyter Notebook

  2. grape-project grape-project Public

    Graph-based Representation and Analysis of Product Embeddings (GRAPE): a Comparative Analysis of Node Classification on the AmazonCo-Purchasing Graph Using GNN Architectures and Baseline Models.

    Jupyter Notebook

  3. nirs-project nirs-project Public

    Neural Interpretable Recommender System (NIRS): a project based on Neural Collaborative Filtering with a focus on the interpretability of recommendations

    Jupyter Notebook

  4. design-of-ai-systems design-of-ai-systems Public

    A collection of different AI systems projects to explain how they work, provide insight in how such systems are built, and practice to develop such systems. Based on a university course (Chalmers U…

    Jupyter Notebook 1

  5. statistical-learning-for-big-data statistical-learning-for-big-data Public

    Repository for the Statistical Learning for Big Data course (MVE441, Chalmers University of Technology).

    Jupyter Notebook 1

  6. bachelors-thesis bachelors-thesis Public archive

    A repo to include my bachelor's thesis (for now, only in italian) and the slides used for the presentation