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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.

Zaccharie Ramzi's Projects

imgclsmob icon imgclsmob

Sandbox for training deep learning networks

io icon io

Dataset, streaming, and file system extensions maintained by TensorFlow SIG-IO

jax icon jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jaxopt icon jaxopt

Hardware accelerated, batchable and differentiable optimizers in JAX.

jean-zay-doc icon jean-zay-doc

Collaborative documentation for and from Jean Zay users. Official Jean Zay documentation is here: http://www.idris.fr/eng/jean-zay/

kair icon kair

Image Restoration Toolbox (PyTorch). Training and testing codes for DnCNN, FFDNet, SRMD, DPSR, MSRResNet, ESRGAN, IMDN

keras-cv icon keras-cv

Industry-strength Computer Vision workflows with Keras

ldeq_rwr icon ldeq_rwr

Landmark Deep Equilibrium Model (LDEQ), applied to videos with a Recurrence without Recurrence (RwR) paradigm

libsvmdata icon libsvmdata

Python package to fetch data from the LIBSVM website.

local-machine-setup icon local-machine-setup

Repo to keep my setups on different local instances. Inspired by: https://github.com/joejuzl/dotfiles

mesh icon mesh

Mesh TensorFlow: Model Parallelism Made Easier

models icon models

Models and examples built with TensorFlow

modopt icon modopt

Modular Optimisation tools for solving inverse problems

odl icon odl

Operator Discretization Library https://odlgroup.github.io/odl/

optnet icon optnet

OptNet: Differentiable Optimization as a Layer in Neural Networks

paf icon paf

Git du projet d'application final fait avec Nouha Chhih, Sébastien Lanaspèze et Mohamed Karim Karaa

phylo-hmm icon phylo-hmm

Implementation of the work done in the Phylogenetic Hidden Markov Model by Adam Siepel and David Haussler

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