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Report abuseFrom 2024 to 2025, I was a Senior Machine Learning Product Engineer at Probabl, the official brand operator of scikit-learn. I contributed to skore, the scikit-learn modeling companion.
Previously, I was a PhD student, at Ecole Normale Supérieure Paris-Saclay (France), where I worked on machine learning applied to time series. More precisely, my research focused on symbolic representation for time series, as well as distance measures on them.
📂 I've recently (Dec 2024) started to organize my GitHub stars into lists: see my stars.
Contact: sylvain.combettes8 [a t] gmail.com
Track your Data Science. Skore's open-source Python library accelerates ML model development with automated evaluation reports, smart methodological guidance, and comprehensive cross-validation ana…
[ICDE 2024] Python and Streamlit implementation of "d_{symb} playground: an interactive tool to explore large multivariate time series datasets"
[Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.
[Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. Kullback-Leibler). Application to the Choquet integral.
Jupyter Notebook 11
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