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Achievement: Starstruckx2Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

Achievements

Achievement: Starstruckx2Achievement: Pull Sharkx3Achievement: Pair Extraordinairex2Achievement: YOLOAchievement: QuickdrawAchievement: Arctic Code Vault Contributor

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CharlesGaydon/README.md

Hello, I'm Charles 👋

About me

  • 💼 I am an AI engineer with 5+ years of experience in data science.

  • 🤖 I worked with a large variety of methods such as 3D and 2D computer vision, NLP, bioclinical data clustering, predictive modelling.

  • 🌍 I was AI Engineer at the French Mapping Agency (IGN) and built their software and methods to do 3D deep learning: from dataset creation to nation-wide Lidar semantic segmentation.

  • ❤️ I like python and building well-thought AI systems: machine learning is not all about the model!

  • 📫 You can reach out via my LinkedIn profile, or ask me anything in Github here

CharlesGaydon's github stats

Top Repositories

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  1. IGNF/myria3d IGNF/myria3d Public

    Myria3D: Aerial Lidar HD Semantic Segmentation with Deep Learning

    Python 179 24

  2. IGNF/StrataNet2-Vegetation-Coverage-Maps IGNF/StrataNet2-Vegetation-Coverage-Maps Public archive

    Prediction of vegetation coverage maps from High Density Lidar data, in a weakly supervised deep learning setting.

    Python 4

  3. dataforgoodfr/batch7_rse dataforgoodfr/batch7_rse Public archive

    A search engine for French corporate societal and environnemental commitments and actions.

    Jupyter Notebook 5 2

  4. IGNF/lidar-prod IGNF/lidar-prod Public

    A production AI brick that augments a rule-based Lidar classification with AI predictions and vector database.

    Python 16 3

  5. Dater-to-Vec Dater-to-Vec Public archive

    Collaborative filtering in dating. A NLP-based user embedding approach inspired from Tinder's TinVec.

    Jupyter Notebook 14 2

  6. Electric-Vehicle-Charge-Optimization Electric-Vehicle-Charge-Optimization Public archive

    Simplified electric vehicle charge optimization based on Hoke (2011).

    Jupyter Notebook 12 4