Deep Learning Course 2017 - MSc Artificial Intelligence @ UvA
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Updated
Dec 30, 2017 - TeX
Deep Learning Course 2017 - MSc Artificial Intelligence @ UvA
Solution to the labs of the Deep Learning course of the MSc in Artificial Intelligence at the University of Amsterdam
Machine Learning UIUC SP 2018
Lecture notes for Probabilistic Graphical Models for Image Analysis, ETH Zurich fall 2018
Project for Pattern Recognition and Physical Methods for Biology exams @ University of Bologna
Personal notes about Deep Learning generative methods
Geometric Dynamic Variational Autoencoders (GD-VAEs) for learning embedding maps for nonlinear dynamics into general latent spaces. This includes methods for standard latent spaces or manifold latent spaces with specified geometry and topology. The manifold latent spaces can be based on analytic expressions or general point cloud representations.
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