Pchambet - Overview

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Pierre Chambet Pchambet

ML & Deep Learning engineer — Télécom SudParis / Institut Polytechnique de Paris. Building from first principles, shipping real-world applications.

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  1. 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. Understanding latent spaces, denoising, and generative modeling

    Python

  3. Exploring and learning Deep Learning step by step.

    Jupyter Notebook 2

  4. 8 124 champignons, 22 descripteurs — comment transformer des mots en géometrie pour prédire la toxicité

    Python

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

    Python

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

    Jupyter Notebook