Pinned Repositories
BibMon
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
ennemi
Easy Nearest Neighbor Estimation of Mutual Information
ennemi-feedstock
A conda-smithy repository for ennemi.
KydLIB
Routines for exploratory data analysis.
pmPCA
PCA for multivariate statistical process monitoring.
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
statsmodels
Statsmodels: statistical modeling and econometrics in Python
tennessee-eastman-challenge
Tennessee Eastman Challenge Problem Archive
tennessee-eastman-profBraatz
The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).
tep2py
A Python interface to the original Fortran program of the Tennessee Eastman Process (TEP) Control Test Problem
camaramm's Repositories
camaramm/tennessee-eastman-profBraatz
The Fortran 77 codes for the open-loop and the closed-loop simulations for the Tennessee Eastman process (TEP) as well as the training and testing data files used for evaluating the data-driven methods (PCA, PLS, FDA, and CVA).
camaramm/tennessee-eastman-challenge
Tennessee Eastman Challenge Problem Archive
camaramm/tep2py
A Python interface to the original Fortran program of the Tennessee Eastman Process (TEP) Control Test Problem
camaramm/BibMon
Python package that provides predictive models for fault detection, soft sensing, and process condition monitoring.
camaramm/ennemi
Easy Nearest Neighbor Estimation of Mutual Information
camaramm/ennemi-feedstock
A conda-smithy repository for ennemi.
camaramm/KydLIB
Routines for exploratory data analysis.
camaramm/pmPCA
PCA for multivariate statistical process monitoring.
camaramm/staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks
camaramm/statsmodels
Statsmodels: statistical modeling and econometrics in Python