Machine Learning 2

Description

Code for the labs of the Machine Learning 2 course at the University of Amsterdam.

Lab 1 - Independent Component Analysis (ICA)

• Assignment and Solutions

Original Signals	Reconstructed Signals

• Reconstructed audios: Speech - Beethoven - Street

Lab 2 - Sum-Product and Max-Sum Algorithms

• Assignment and Solutions

Bayesian Network

Lab 3 - Expectation Maximization (EM) and Variational Autoencoders (VAE)

• Assignment and Solutions

EM on MNIST

 
Learned Manifold of the VAE on MNIST

Testing

Refer to each lab and run the iPython notebook as follows.

jupyter notebook $notebook_name$.ipynb

Dependencies

iPython notebook

• Lab 1: SciPy, NumPy, matplotlib
• Lab 2: itertools, NumPy, matplotlib
• Lab 3: gzip, SciPy, torch, matplotlib

Contributors

• Dana Kianfar
• Jose Gallego

Copyright

Copyright © 2017 Dana Kianfar and Jose Gallego.

This project is distributed under the MIT license. Please review the UvA regulations governing Fraud and Plagiarism in case you are a student at the UvA.