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AliBavarchee/README.md

Welcome

👋 Hi, I’m @AliBavarchee Logo

👀 I’m passionate about High Energy Physics (HEP), particularly Quark-Gluon Plasma (QGP), and Big Data.

🌱 Currently working on proton-proton collision simulations and Lattice QCD (LQCD) using Python and Julia.

📫 Feel free to reach out: [email protected]
LinkedIn


🚀 Skills

Python R Julia C++ Bash MATLAB Wolfram Mathematica TensorFlow scikit-learn PYTORCH

  • Languages: Bash, C++, Python, R, Julia, MATLAB, Wolfram Mathematica
  • Frameworks: TensorFlow, SciPy, scikit-learn, Pandas
  • Tools: Jupyter, Docker, Git, Tableau
  • Databases: MySQL, PostgreSQL, MongoDB

Projects

📈 GitHub Stats

Ali's GitHub stats Top Langs

📫 Connect with Me

LinkedIn

Website

Feel free to reach out if you want to collaborate on a project or just say hi. 😊

bye

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  1. strixhoot Public

    striXhooT: Hybrid Generative Model for Regression Tasks

    Python

  2. vaganboost Public

    hybrid model combining VAE, GAN, and LightGBM for boosting performance in high-energy physics or data analysis tasks.

    Python

  3. LatentBoostClassifier Public

    Hybrid Generative Model: CVAE + CGAN + Random Forest

    Jupyter Notebook

  4. Hybrid-Deep-Learning-Model-for-Optimizing-Particle-Identification-Systems Public

    This project presents a novel hybrid algorithm that combines the power of a deep neural network (DNN) with a random forest regressor (RFR) to effectively enhance PID tasks within the experiment.

    HTML 3

  5. MAPD_ICARUS Public

    Jupyter Notebook 1

  6. QCT Public

    QFT

    Jupyter Notebook

460 contributions in the last year

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Contribution activity

March 2025

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