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  • šŸ‘‹ Hi, Iā€™m @MisterBourbaki
  • šŸ‘€ Iā€™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!)
  • šŸŒ± Iā€™m currently learning a bit of Rust! Trying to catch on this really nice language.
  • šŸ’žļø Iā€™m looking to collaborate on Federated Learning, Vector Quantization or AutoEncoders :)
  • šŸ“« 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 :)

Baptiste Morisse's Projects

adversarial-robustness-toolbox icon adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

benchmark_vae icon benchmark_vae

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

jsonargparse icon jsonargparse

Implement minimal boilerplate CLIs derived from type hints and parse from command line, config files and environment variables

pybiscus icon pybiscus

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

train-and-bench icon train-and-bench

A small toolbox for easily traind and bench any Model, using Lightning

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