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  1. cnn-explainability-workshop cnn-explainability-workshop Public

    What do CNNs actually learn? Visualizing VGG16 filters, explaining predictions with Grad-CAM, testing CNIL anonymization methods, and building a one-shot face recognition system.

    Jupyter Notebook

  2. mnist-latent-space-ae-vae mnist-latent-space-ae-vae Public

    Understanding latent spaces, denoising, and generative modeling

    Python

  3. Deep-Learning-from-Scratch Deep-Learning-from-Scratch Public

    Exploring and learning Deep Learning step by step.

    Jupyter Notebook

  4. mushroom-project mushroom-project Public

    8 124 champignons, 22 descripteurs — comment transformer des mots en géometrie pour prédire la toxicité

    Python

  5. Gait-Analysis Gait-Analysis Public

    This project applies unsupervised machine learning techniques to analyze clinical gait data.

    Python

  6. Particle-Filter-Optimal-Transport Particle-Filter-Optimal-Transport Public

    An implementation of a differentiable particle filter using entropy-regularized optimal transport. Enables gradient-based optimization.

    Jupyter Notebook