Pinned Repositories
Certification-workflow
FEMDA
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
Gaussian-processes
Gaussian-processes-v2
HoudouinPierre
Config files for my GitHub profile.
chi2comb-py
Python package for linear combination of independent noncentral chi-squared random variables.
HoudouinPierre's Repositories
HoudouinPierre/FEMDA
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well in noisy and contaminated datasets.
HoudouinPierre/Certification-workflow
HoudouinPierre/Gaussian-processes
HoudouinPierre/Gaussian-processes-v2
HoudouinPierre/HoudouinPierre
Config files for my GitHub profile.