The QuickDraw dataset is curated from the millions of drawings contributed by over 15 million people around the world who participated in the "Quick, Draw!" A.I. Experiment, in which they were given the challenge of drawing objects belonging to a particular class (such as "cat") in under 20 seconds.
SketchRNN is an impressive generative model that was trained to produce vector drawings using this dataset. It was of particular interest to me because it cleverly assembles many of the latest tools and techniques recently developed in machine learning, such as Variational Autoencoders, HyperLSTMs (a HyperNetwork for LSTM), Autoregressive models, Layer Normalization, Recurrent Dropout, the Adam optimizer, among others.