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1. ssondo ssondo Public template

   Official SSONDO implementation and trained model's weights (ICASSP 2026)

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2. spotify-music-genre-classification spotify-music-genre-classification Public

   This project focuses on developing a neural network-based music genre classification tool using a dataset with five music genres. We will use both numerical and textual data in the predictions.

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3. optimization_project optimization_project Public

   Implement the gradient and stochastic gradient methods for LASSO. We study the effect of the step size/ mini-batch size on convergence.

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4. ensemble_learning_project ensemble_learning_project Public

   This project explores a variety of ensemble learning methods for binary classification on imbalanced datasets, with a special focus on performance comparison, sampling strategies, and domain adapta…

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5. manifold_learning_project manifold_learning_project Public

   This project is a comparative study of dimensionality reduction techniques applied to both synthetic manifolds and a real-world dataset (Fashion MNIST). It focuses on simulation, evaluation, and vi…

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6. model_based_learning_project model_based_learning_project Public

   This project implements a custom Expectation-Maximization (EM) R package for clustering using Gaussian Mixture Models (GMMs). The implementation is tested on both the Iris and MNIST datasets.

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