renormalization

Renormalization Group (RG) and Deep Neural Network (DNN) examples.

These are not meant to be very efficient, but demonstrate how the concepts work.

Examples

cointoss.py: Example of Bayesian statistics for a coin flip.
polyfit.py: Fitting a polynomial using Bayesian statistics and gradient descent methods.
ising.py: 2d Ising model using Hopfield network.

Name		Name	Last commit message	Last commit date
Latest commit History 8 Commits
avazu-ctr		avazu-ctr
rain		rain
.gitignore		.gitignore
LICENSE		LICENSE
README.md		README.md
boltzmann.py		boltzmann.py
cointoss.py		cointoss.py
frtl_proximal.py		frtl_proximal.py
graph.py		graph.py
ising.py		ising.py
mcmc.py		mcmc.py
notes.md		notes.md
notes.pdf		notes.pdf
page.py		page.py
polyfit.py		polyfit.py
regression.py		regression.py
stats.py		stats.py
train.py		train.py
util.py		util.py