SIE Project 2017

Folder for various codes for the SIE project at EPFL in Fall Semester 2017.

Files

Code/

Visualizations

• decision_tree.ipynb: Decision Trees and Random Forest on randomly generated labelled data
• density_tree.ipynb: Density Trees on randomly generated labelled data
• MNIST.ipynb: Trainig of a CNN on the MNIST dataset, retrieval of the FC layer activation weights, Density Forest

Code/density_tree

Package for implementation of Decision Trees, Density Forests and Random Forests

• create_data.py: functions for generating labelled and unlabelled data
• decision_tree.py: data structure for decision tree nodes
• decision_tree_create.py: functions for generating decision trees
• decision_tree_traverse.py: functions for traversing a decision tree to predict labels
• density_tree.py: data struture for density tree nodes
• density_tree_create.py: functions for generating density trees
• density_tree_traverse.py: functions for descending density trees and retreiving their Gaussian parameters
• density_forest.py: functions for creating density forests
• helper.py: helper functions
• plots.py: functions for plotting the data
• random_forests: functions for creating random forests

Supervisors:

• Prof. Devis Tuia, University of Wageningen
• Diego Marcos González, University of Wageningen
• Prof. François Golay, EPFL

Cyril Wendl, 2017