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  1. geometric-deep-learning geometric-deep-learning Public

    👋 Hi there! I am diving deep into the fascinating world of Geometric Deep Learning, with a particular focus on leveraging PyTorch Geometric to push the boundaries of what's possible with structured…

    Jupyter Notebook

  2. MATH-21003 MATH-21003 Public

    I teach a course called Principles of Statistics at the University of Arkansas. This course helps students understand basic statistical concepts and techniques, focusing on their real-world applica…

    R

  3. ML_algorithms ML_algorithms Public

    Learning machine learning fundamentals by implementing algorithms in NumPy. This practical guide is perfect for hands-on practice and understanding.

    Python

  4. recommender-systems recommender-systems Public

    Jupyter Notebook

  5. MATH-53803 MATH-53803 Public

    In Fall 2019, I completed a rigorous course in computational mathematics. We explored foundational topics like iterative methods, error analysis, and root finding, along with advanced concepts. Thi…

    MATLAB

  6. MATH-53903 MATH-53903 Public

    Spring 2020, I studied numerical linear algebra. We covered its basics, hardware, software, and applications in engineering. I learned about numbers, problem complexity, and solving linear equation…

    MATLAB