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I am a PhD in Computer Science who works in Data Science and specifically in Deep Learning. I have published research articles in multiple fields such as mathematics, machine learning computer security and astrophysics.

chatel-gregory-medium chatel-gregory-linkedin


I have given multiple talks in various universities, meetups and conferences. My slides are available in this repository.

I also teach Data Science, Machine Learning and Deep Learning at multiple universities (EDHEC, Gustave Eiffel University). The public content of my courses is available in this repository.

I am also interested in generative mathematical art.

eratosthenes buddhabrot multiplication


  1. 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

    Python 75k 17.1k

  2. Deep Learning for humans

    Python 56.7k 19.2k

  3. TensorFlow code and pre-trained models for BERT

    Python 32.6k 8.9k

  4. An implementation of the 'fast gradient sign method' from the paper 'Explaining and Harnessing Adversarial Examples'

    Jupyter Notebook 50 17

  5. talk-slides Public

    Slides (with LaTeX files) of the various talks I give (ML / DL / fun with coding)

    TeX 8 5

  6. teaching Public

    Python 14 8

314 contributions in the last year

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Activity overview

Contribution activity

November 2022

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