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Achievements

Achievement: Arctic Code Vault ContributorAchievement: Pull Sharkx2Achievement: Starstruck
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@DisaitekAI
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rodgzilla/README.md

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

chatel-gregory-google-scholar

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

Pinned

  1. huggingface/transformers huggingface/transformers Public

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

    Python 125k 24.8k

  2. keras-team/keras keras-team/keras Public

    Deep Learning for humans

    Python 60.9k 19.3k

  3. google-research/bert google-research/bert Public

    TensorFlow code and pre-trained models for BERT

    Python 37k 9.5k

  4. machine_learning_adversarial_examples machine_learning_adversarial_examples Public

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

    Jupyter Notebook 52 16

  5. talk-slides talk-slides Public

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

    TeX 8 6

  6. teaching teaching Public

    Python 15 9