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Achievements

Achievement: Starstruckx2Achievement: Pair Extraordinairex2Achievement: QuickdrawAchievement: YOLOAchievement: Arctic Code Vault ContributorAchievement: Pull Sharkx3

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zaccharieramzi/README.md

Hi there 👋

I am Zaccharie Ramzi, an AI Research Scientist at Meta working on neural interfaces. Before that, I was a post-doc working with Gabriel Peyre at ENS Ulm on optimization and implicit deep learning. Even before that, I was a PhD student working in 3 institutions: Inria in the Parietal team, Neurospin in the METRIC team, and the CEA astrophysics department in the Cosmostat team.

The topic of my PhD was deep learning for MRI reconstruction. This made me interested in all things connected to:

  • convex non-smooth optimization
  • computer vision
  • MRI and healthcare
  • deep learning

I like to write TensorFlow (and now PyTorch and Jax a bit) code not only to write neural networks but also to build other related functionalities. Open source is definitely my motto.

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  1. fastmri-reproducible-benchmark fastmri-reproducible-benchmark Public

    Try several methods for MRI reconstruction on the fastmri dataset. Home to the XPDNet, runner-up of the 2020 fastMRI challenge.

    Jupyter Notebook 152 50

  2. tfkbnufft tfkbnufft Public

    A robust, easy-to-deploy non-uniform Fast Fourier Transform in TensorFlow.

    Python 30 5

  3. my-model-zoo my-model-zoo Public

    A list of all the neural networks I have implemented

    3

  4. CEA-COSMIC/ModOpt CEA-COSMIC/ModOpt Public

    Modular Optimisation tools for solving inverse problems

    Python 25 15

  5. git-tuto git-tuto Public

    A very sparse repo to practice the basics of git and GitHub flow in open source

    Python 4 20

  6. CEA-COSMIC/pysap-mri CEA-COSMIC/pysap-mri Public

    MRI external plugin for Python Sparse data Analysis Package

    Python 43 18