- 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
- 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.
- Actuarial Symbol: Typesetting actuarial symbols easily and consistently in LaTeX.
- nCopula: Construct and manipulate hierarchical Archimedean copulas with multivariate compound distributions.
- Reproductibilité en apprentissage automatique
- Configuration and results management with MLflow, Hydra and Poutyne (also in French)
- Levraging Subword Embeddings for Multinational Address Parsing
- Detection of Duplicates Among Non-structured Data From Different Data Sources
- Bonnes pratiques & Git
- "FIJO": a French Insurance Soft Skill Detection Dataset
- Multinational Address Parsing: A Zero-Shot Evaluation
- Generating Intelligible Plumitifs Descriptions: Use Case Application with Ethical Considerations
- Leveraging Subword Embeddings for Multinational Address Parsing
- A Robust Self-Learning Method for Fully Unsupervised Cross-Lingual Mappings of Word Embeddings: Making the Method Robustly Reproducible as Well
- OpenLayer - #43 | Véronique Tremblay
- OpenLayer - #42 | Gabrielle Vachon
- OpenLayer - #41 | Ilyes Talbi
- OpenLayer - #40 | François Pelletier
- OpenLayer - #39 | Vanessa Deschênes