Folder for various codes for the SIE project at EPFL in Fall Semester 2017.
Visualizations
decision_tree.ipynb
: Decision Trees and Random Forest on randomly generated labelled datadensity_tree.ipynb
: Density Trees on randomly generated labelled dataMNIST.ipynb
: Trainig of a CNN on the MNIST dataset, retrieval of the FC layer activation weights, Density Forest
Package for implementation of Decision Trees, Density Forests and Random Forests
create_data.py
: functions for generating labelled and unlabelled datadecision_tree.py
: data structure for decision tree nodesdecision_tree_create.py
: functions for generating decision treesdecision_tree_traverse.py
: functions for traversing a decision tree to predict labelsdensity_tree.py
: data struture for density tree nodesdensity_tree_create.py
: functions for generating density treesdensity_tree_traverse.py
: functions for descending density trees and retreiving their Gaussian parametersdensity_forest.py
: functions for creating density forestshelper.py
: helper functionsplots.py
: functions for plotting the datarandom_forests
: functions for creating random forests
- Prof. Devis Tuia, University of Wageningen
- Diego Marcos González, University of Wageningen
- Prof. François Golay, EPFL
Cyril Wendl, 2017