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Hi there, I'm David - aka davebulaval

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I’m a Ph.D. student, ML researcher, founder of an AI podcast, and an AI consultant!

  • I’m working on my academic research, Poutyne, Deepparse and MeaningBERT!
  • I’m developing my skills in NLP
  • I’m developing my consulting firm with colleagues: Baseline
  • I’m developing a bilingual AI podcast: OpenLayer
  • I’m developing a bilingual blog site with colleagues: .Layer

Framework I work on

  • Poutyne: A simplified framework for PyTorch and handles much of the boilerplating code needed to train neural networks.
  • Deepparse: A state-of-the-art library for parsing multinational street addresses using deep learning.
  • notif: A easy-to-use package to send notifications from a Python script.

Other Packages

  • Actuarial Symbol: Typesetting actuarial symbols easily and consistently in LaTeX.
  • nCopula: Construct and manipulate hierarchical Archimedean copulas with multivariate compound distributions.

Presentations I did


📺 Latest YouTube Videos

📌 GitHub Stats

davebulaval's Github Stats

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  1. dot-layer/tests-automatises-en-r dot-layer/tests-automatises-en-r Public

    Les tests automatisés en R - Atelier du colloque R à Québec 2019

    TeX 2

  2. notification notification Public

    A package to send notification from a python script

    Python 12 2

  3. GRAAL-Research/poutyne GRAAL-Research/poutyne Public

    A simplified framework and utilities for PyTorch

    Python 568 63

  4. GRAAL-Research/deepparse GRAAL-Research/deepparse Public

    Deepparse is a state-of-the-art library for parsing multinational street addresses using deep learning

    Python 290 30