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Achievements

Achievement: Pull Sharkx3Achievement: Pair ExtraordinaireAchievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Starstruckx2

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baldassarreFe/README.md

Hi, I'm Federico 👋

Postdoc at Meta AI in Paris

I’m a postdoctoral researcher at FAIR in Meta AI, Paris. My interests include self-supervised learning, computer vision, and video world models. During my PhD at KTH, Stockholm, I worked on the explainability of deep learning models, applied to computer vision and bioinformatics.

Learn more about me and my research on my website.

Connect with me:

 baldassarrefe

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  1. deep-koalarization deep-koalarization Public

    Keras/Tensorflow implementation of our paper Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (https://arxiv.org/abs/1712.03400)

    Python 414 80

  2. graph-network-explainability graph-network-explainability Public

    Explainability techniques for Graph Networks, applied to a synthetic dataset and an organic chemistry task. Code for the workshop paper "Explainability Techniques for Graph Convolutional Networks" …

    Jupyter Notebook 125 16

  3. graphqa graphqa Public

    Protein quality assessment using Graph Convolutional Networks

    Python 29 9

  4. ambulance-planning ambulance-planning Public

    Online scheduling of multi ambulances in a city context, with travel distance and patient priority optimization

    Java 1

  5. zalando-pytorch zalando-pytorch Public

    Various experiments on the [Fashion-MNIST](https://github.com/zalandoresearch/fashion-mnist) dataset from Zalando

    Jupyter Notebook 31 7

  6. lucasrodes/kPCA-denoising-python lucasrodes/kPCA-denoising-python Public

    Reproduction of the experiments presented in Kernel PCA and De-noising in Feature Spaces, as a project in DD2434 Machine Learning Advance Course during Winter 2016

    Python 17 11