aovallc's repositories
Summerschool_2015
Deep Learning DTU summer school 2015
02456-deep-learning
Exercises and supplementary material for the deep learning course 02456.
causalEntropicForces
Application of the algorithm to examples including noughts and crosses
deepbayes-2019
Practical assignments of the Deep|Bayes summer school 2019
intro-to-rl
coding examples to Intro to RL
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
nvidia_deep_learning_summercamp_2016
Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016
PyTorch-VAE
A Collection of Variational Autoencoders (VAE) in PyTorch.
variational-autoencoders-summerschool-2016
Exercises for the semi-supervised summer school https://semisupervised-learning.compute.dtu.dk.