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@lewagon @sknetwork-team @hi-paris

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gaetanbrison/README.md

Hi there, I'm Gaëtan 👋

I'm an AI Engineering Manager @Hi! PARIS - Institut Polytechnique Paris x HEC Paris x INRIA Saclay

  • 🚀 Official launch of the Hi! PARIS AI Engineering Team Feb 2022
  • 🌱 I’m always looking to learn new things
  • 💪 We are hiring ML Engineers
  • 🥅 2024 Goals: Contribute more to Open Source projects with positive impact

🔬 Recent Papers - Summer 2025

Title Paper Code
FakeParts: a New Family of AI-Generated DeepFakes arXiv GitHub
Table foundation models: on knowledge pre-training for tabular learning arXiv GitHub

📦 Latest Package Development and Contributions from Team


Connect with me:

Linkedin


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  1. ENSTA-U2IS-AI/torch-uncertainty ENSTA-U2IS-AI/torch-uncertainty Public

    Open-source framework for uncertainty and deep learning models in PyTorch 🌱

    Python 450 36

  2. soda-inria/carte soda-inria/carte Public

    Repository for CARTE: Context-Aware Representation of Table Entries

    Python 158 16

  3. hi-paris/deepdespeckling hi-paris/deepdespeckling Public

    Python 76 14

  4. hi-paris/FakeParts hi-paris/FakeParts Public

    FakePartsBench: 25K+ AI-generated videos with pixel- and frame-level annotations of full and partial deepfakes.

    Jupyter Notebook 24 1

  5. hi-paris/XPER hi-paris/XPER Public

    A methodology designed to measure the contribution of the features to the predictive performance of any econometric or machine learning model.

    Python 18 1

  6. hi-paris/structured-predictions hi-paris/structured-predictions Public

    Jupyter Notebook 9 5