Giter Site home page Giter Site logo

Hi there, I'm David - aka davebulaval

Google scholar Badge

Research Gate

LinkedIn Badge

YouTube Badge

ORCID Badge


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

Articles:

📺 Latest YouTube Videos

📌 GitHub Stats

davebulaval's Github Stats

David Beauchemin's Projects

act_2003 icon act_2003

Matériel de formation pour le cours de modèles linéaires en actuariat

actulab_coop icon actulab_coop

Résolution d'une problématique Actulab de Co-operators

banditsum icon banditsum

This repository contains python 3.7 code for the EMNLP 2018 paper "BanditSum: Extractive Summarization as a Contextual Bandit.

blanc icon blanc

Human-free quality estimation of document summaries

gestion-configuration-resultats icon gestion-configuration-resultats

Gestion de la configuration et des résultats avec MLflow, Hydra et Poutyne | Configuration and results management with MLflow, Hydra and Poutyne

guide_exam icon guide_exam

Dépôt pour la mise à jour d'un guide pour les examens professionnels en actuariat.

local icon local

W&B Local is the self hosted version of Weights & Biases

lsemap-presentation icon lsemap-presentation

Levraging Subword Embeddings for Multinational Address Parsing Paper Presentation https://arxiv.org/abs/2006.16152

magnitude-light icon magnitude-light

Magnitude fork that only supports Word2Vec, GloVe and fastText embeddings

nlp-progress icon nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

parser icon parser

:rocket: State-of-the-art parsers for natural language.

py2neo icon py2neo

Fork of the now deleted py2neo repository for the GLO-4035 course 2023

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.