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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 1

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