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thomasgegout/README.md

Hi there! 👋

🚀 About Me

French engineering student at CentraleSupélec passionate about machine learning, deep learning, and applied mathematics.

Machine Learning Intern at Docugami (Aug 2025 – Feb 2026).

AI Research Intern at Barnacle Labs (March 2026 – August 2026).


🛠️ Projects

  • ⚙️ Table Structure Recognition — Pre-trained and fine-tuned diffusion-based models for table structure recognition (for instance DiffusionDet) and Stable Diffusion for image-to-image table layout generation.
  • 🤖 Cryptocurrency Price Predictor — Built an RNN/LSTM model leveraging sentiment analysis on expert tweets to forecast cryptocurrency trends.
  • 🌍 Machine Learning Competition — Designed a model for geographic area classification using Random Forest and XGBoost, with advanced feature engineering.
  • ✨ AI association - Automatants — Did some hackathons and projects with Automatants.

💻 Favorite Languages


🧠 Technologies & Tools


📫 How to Reach Me

Popular repositories Loading

  1. DiffusionDet DiffusionDet Public

    Forked from ShoufaChen/DiffusionDet

    [ICCV2023 Best Paper Finalist] PyTorch implementation of DiffusionDet (https://arxiv.org/abs/2211.09788)

    Python 1

  2. AIProjects AIProjects Public

    Some projects with Automatants.

    Jupyter Notebook 1

  3. automathon-2024 automathon-2024 Public

    Forked from Automatants/automathon-2024

    Competition de Detection de DeepFakes

    Jupyter Notebook

  4. kaggle_ml kaggle_ml Public

    Python

  5. dojo-splitmate dojo-splitmate Public

    Forked from theodo-fintech/dojo-splitmate

    TypeScript

  6. messages messages Public

    Forked from suitenumerique/messages

    fork for the DTY project

    Python