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@Kit-BIGDATA-Telecom-2022-2023
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  1. Implementation-of-GCN-for-predicting-enzyme-class Implementation-of-GCN-for-predicting-enzyme-class Public

    I implemented a Graph Convolutional Network (GCN) architecture to perform node and graph classification on the Enzymes dataset. This dataset consists of 600 graphs that represent protein structures…

    Jupyter Notebook

  2. IMAGE-SIGNAL-PROCESSING IMAGE-SIGNAL-PROCESSING Public

    Implémentation à base de formules élémentaires de modèles indépendants, de chines de Markov Cachées et de Machine de Boltzman Restreinte pour la Segmentation d'images à partir de signaux bruités et…

    Jupyter Notebook 1

  3. Big-data-Projects Big-data-Projects Public

    Iplémentation de techniques d'extractions,de traitements et d'analyse de données

    Jupyter Notebook

  4. Data-challenge-5-Classification-of-histopathological-microscopic-images-of-breast-cancer-tissues Data-challenge-5-Classification-of-histopathological-microscopic-images-of-breast-cancer-tissues Public

    I worked on microscopic images of breast tumors from patients to classify them as benign or malignant, with 8 possible classes, and distinguish between different malignant tumor types. The evaluati…

    Jupyter Notebook

  5. IMAGES-GENERATION-WITH-RESTRICTED-BOLTZMAN-MACHINE IMAGES-GENERATION-WITH-RESTRICTED-BOLTZMAN-MACHINE Public

    Implémenter un code fonctionnel qui permet d'instancier un objet de type RBM, d'entraîner par batch sur les données MNIST binarisées, et enfin après l'entrainement d'échantillonner le modèle de RBM…

    Jupyter Notebook

  6. Segmentation-of-blood-vessels-on-retina-images Segmentation-of-blood-vessels-on-retina-images Public

    Le but de ce projet est de proposer une méthode automatique de segmentation du réseau vasculaire dans des images de rétine SLO.

    Jupyter Notebook