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Hi it's me!


  • 🌱 I'm currently in a PhD thesis in Statistics at the University of Montpellier under the supervision of Joseph Salmon, Benjamin Charlier and Alexis Joly (Inria)
  • 🔭 I'm working on image classification and label uncertainty in crowdsourcing settings
  • 🙂 Pronouns: He/Him or They/Them (any choice is ok, even a mix)
  • 🦸 Also a comic book fan an a runner

You can find me on: Discord or youtube (the later contains some of my oral presentations)

Spotify Playing 🎧

                       Spotify Now Playing          octocatpython

Tanguy Lefort's Projects

benchopt icon benchopt

Making your benchmark of optimization algorithms simple and open

chaoseverywhere icon chaoseverywhere

Some visualizations of the logistic map and its link with the Mandelbrot set

chop icon chop

CHOP: An optimization library based on PyTorch, with applications to adversarial examples and structured neural network training.

cleanlab icon cleanlab

The standard package for machine learning with noisy labels and finding mislabeled data. Works with most datasets and models.

geomloss icon geomloss

Geometric loss functions between point clouds, images and volumes

glasses icon glasses

High-quality Neural Networks for Computer Vision 😎

hmma238 icon hmma238

This is the public repo for the course HMMA238 'Software Development'

keops icon keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

proba_shiny_app icon proba_shiny_app

A first try at using shiny apps to visualize probability distributions and compute easily probabilities

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