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Lyreck/README.md

Welcome !

This GitHub page aims to gather the work I accomplish throughout my studies and personal projects.

I mostly (but not only) work on applied mathematics, industrial engineering optimization, and computational social sciences.

I am currently working / have worked on

  • Meta-heuristics for non-linear optimization problem solving
  • Machine Learning (NLP, GNN, Sentiment Analysis)
  • Data Analysis
  • computer vision
  • graph optimization
  • Web Scraping
  • computational sociology
  • predictive statistical models

I also like experimenting on Hugging Face models and their finetuning interface AutoTrain. I am interested in the intersection of public policy, mathematics and technology.

Feel free to reach out to me (see links on my Profile) !

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  1. Hadrien-Cr/ATOW_ML Hadrien-Cr/ATOW_ML Public

    Team repo for ATOW ML challenge

    Jupyter Notebook 2 1

  2. graph_optimization graph_optimization Public

    Optimizing airport space usage with a graph coloring approach. See report.pdf for more details.

    Jupyter Notebook

  3. computer_vision computer_vision Public

    Matlab code for a computer vision course I followed at Mines Nancy

    MATLAB

  4. pouvoirdasha/sociology_scrapping pouvoirdasha/sociology_scrapping Public

    Politicization of Brat summer in the US 2024 Election - Scrapping, data vizualisation and sentiment analysis of comments from Reddit, YouTube and TikTok - sociology of digital public space course f…

    Jupyter Notebook

  5. deep_learning_intro deep_learning_intro Public

    Sentiment analysis model I built during a practical session in my Deep Learning course (Mines Nancy).

    Python

  6. genetic_algorithm genetic_algorithm Public

    Implementation of the genetic algorithm meta-heuristic for a specific industrial engineering optimization use case.

    Jupyter Notebook