AMP tutorial

This repository contains a short AMP tutorial, split into 3 notebooks:

Name		Name	Last commit message	Last commit date
Latest commit History 12 Commits
img		img
.gitignore		.gitignore
From the SK model to matrix factorization.ipynb		From the SK model to matrix factorization.ipynb
Perceptron.ipynb		Perceptron.ipynb
README.md		README.md
Sparse linear regression and compressed sensing.ipynb		Sparse linear regression and compressed sensing.ipynb
exo1.py		exo1.py
exo2.py		exo2.py
exo3.py		exo3.py
exo4.py		exo4.py
exo5.py		exo5.py

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