Sylvain Combettes's repositories
medgan-tips
[Python] Additional works on Edward Choi's medGAN (generative adversarial network for electronic health records). In particular: boosting the prediction score using dataset augmentation.
comparison-distributions
[Python] Comparison of empirical probability distributions. Integral probability metrics (e.g. Kantorovich metric). f-divergences (e.g. Kullback-Leibler). Application to the Choquet integral.
anomaly-detection-PCA
Anomaly detection on a production line using principal component analysis (PCA) and kernel principal component analysis (KPCA) *from scratch*.
C-for-data-science
C++ programming for Data Science. K-means clustering. K-nearest neighbor algorithm. Neural Networks.
aeon
A unified framework for machine learning with time series
high-dimensional-statistics
[Python, R] My homeworks for the Statistics for high-dimensional data course of my MSc @ Mines Nancy
sylvaincom
My personal repository.
sylvaincom.github.io
My website
non-tech
work in progress