Stéphane d'Ascoli
Research Scientist at Facebook
Paris, Ile-de-France
Summary
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RockstarStéphane d'Ascoli is a research scientist at Meta AI based in Paris with nine years of experience applying deep learning to real-world problems. He blends academic rigor with practical implementation, demonstrated by open-source contributions such as an Autoencoder notebook showcasing unsupervised learning with PyTorch on MNIST for reconstruction and latent-space exploration. Comfortable moving from model definition and training to evaluation and visualization, he bridges research concepts and reproducible code. Known for clear, educational code artifacts, he favors approaches that make complex models accessible to practitioners. His Parisian research perspective is complemented by hands-on contributions that support teaching and adoption of deep learning techniques.
9 years of coding experience
Github Skills (7)
pytorch10
deep-learning10
python10
mnist10
autoencoder10
image-reconstruction9
generative-model8
Programming languages (2)
Github contributions (5)
dataflowr/notebooks
Jun 2019 - Jun 2019
code for deep learning courses
Role in this project:
Data Scientist
Data ScientistContributions:18 commits, 17 pushes in 3 days
Contributions summary:Stéphane added a notebook related to unsupervised learning with Autoencoders, specifically demonstrating the use of MNIST for image reconstruction and generation. The code includes the necessary imports for deep learning with PyTorch, and includes a complete working example including the definition, training, and evaluation of a Autoencoder model. The notebook showcases model training, reconstruction visualization, and likely explores the latent space for unsupervised learning tasks.
deep-learningpytorchmachine-learning
sdascoli/boolformer
Sep 2023 - Dec 2024
Contributions:1 PR, 16 pushes, 1 branch in 1 year 3 months
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