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pietrobarbiero/README.md

Hello! I'm Pietro, Research Assistant and Ph.D. candidate at the University of Cambridge (Clare College).

  • 🔭 My research activity focuses on explainable artificial intelligence, deep learning, and neuro-symbolic models.

  • 🔎 My current projects are related to concept learning and reasoning.

  • 🔗 For more info about my work, please visit my website.

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  1. pyc-team/pytorch_concepts pyc-team/pytorch_concepts Public

    PyC (Pytorch Concepts) is a PyTorch-based library for designing concept-based interpretable deep learning models.

    Python 158 21

  2. pyc-team/babysteerling pyc-team/babysteerling Public

    A didactic, from-scratch build-up of interpretable language models, small enough to train on a laptop in a few minutes.

    Python 5 4

  3. pytorch_explain pytorch_explain Public

    PyTorch Explain: Interpretable Deep Learning in Python.

    Jupyter Notebook 175 17

  4. HekpoMaH/algorithmic-concepts-reasoning HekpoMaH/algorithmic-concepts-reasoning Public

    Python 26 1

  5. digital-patient digital-patient Public

    Python 28 14

  6. constraint-learning constraint-learning Public

    Constraint-based Learning with Neural Networks

    Jupyter Notebook 15 1