Many thanks for the fascinanting projects. Here are the links to some of them:

Links to projects 2018

• “Dog Breed Identification” Melanie Hugentobler, Andreea Wyss und Yacine Mekesser

• “Dog Breed Identification” Tom Schäfer, Hans Engeli, Marco Flatt

• “Classifying Real Estate Ad Images with Convolutional Neural Networks CAS Machine Intelligence” Reto Camenzind, Lukas Stöcklin, Julia Sulc

• “Deep Fruits” Frank Meier, Georgios Laios, and Giovanni Lopez see also on github meierfra/deep_fruits

• “iMaterialist Challenge (Furniture)” Pascal Freudiger, Roger Hämmertli, Ben Koch und Stefanie Saurwein

• “Humpback Whale Identification Challenge” Roger Schwyn, Christoph Hubmann and Hubert Keller

Links to projects 2019

• “Music classification with Deep Learning” Andreas Fischer, Bernd Novotny und Tobias Schieferdecker

• “Land cover classification: Squeezing the lemon with AutoML” Timo Grossenbacher

• “Malaria Cell Images” Pascal Wenger, Vinzenz Frauchiger und Tobias Steinbach

• “Classification with CelebA” Merola Davide, Pauli Christian

• “Plant Seedlings Classification” Ana Cira Garita Solano, Anna Riedo

• “Find the Polar Bear” Dominique Ueltschi, Isabelle Kluser

• “Facial Keypoints Detection” Marius Wolfensberger, Céline Schlosser

• “Cycle GAN” Fabio Santschi

• “Duck classification with CNNs” Fredi Weideli, Patrick Graber

• “Der letzte Führerscheinneuling ist schon geboren!” Andreas Palm, Reto Stucki

• “The „Find Walter“ Problem” Timur Erdag, Bruno Frei, Sandra Mark und Aaron Venetz

• “Natural Images” André Wethmar, Roberto Ringenberg und Jan Schüpbach