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Achievement: Pull Sharkx2Achievement: Quickdraw

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MisterBourbaki/README.md
  • 👋 Hi, I’m @MisterBourbaki
  • 👀 I’m interested in Machine Learning, in particular Federated Learning (I created the project Pybiscus last year), in Vector Quantization (I collaborate on the really nice https://github.com/lucidrains/vector-quantize-pytorch project) and AutoEncoders, in particular for audio (have a look here https://github.com/MisterBourbaki/Encyclopedia-VAE!)
  • 🌱 I’m currently learning a bit of Rust! Trying to catch on this really nice language.
  • 💞️ I’m looking to collaborate on Federated Learning, Vector Quantization or AutoEncoders :)
  • 📫 How to reach me: here is my pro email [email protected] !
  • I worked three years as a Data Scientist at Thales, and before that I was a 'pure' mathematician working on PDEs. I did my PhD at Universite Paris Diderot and did a three-year postdoc at Cardiff, not so long ago :)

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  1. pybiscus pybiscus Public

    A simple tool to perform Federated Learning on various models and datasets.

    Python 2

  2. vector-quantization-by-ml vector-quantization-by-ml Public

    Python

  3. Encyclopedia-VAE Encyclopedia-VAE Public

    Python 1

  4. audio_exploration audio_exploration Public

    Exploration of audio feature extractions and their quantizations

    Python