Coding

The programming help sessions are meant to complement the course. Although they are not mandatory, I strongly suggest you attend them. You can find information about location on the main page.

Resources to get you set up:
Version control with Git
Accessing Princeton’s compute clusters
Python for data science cheat sheet

Resources for the programming help sessions below.

Topics	Links
Linear Regression with Pytorch	Example 1, Example 2
Bayesian Linear Regression with Pyro	Example 1, Longer example
Mixture Models	GMM, Dirichlet Process MM
Bayesian Neural Networks	Pyro Example, Numpyro Example, Blog Post
Stochastic Variational Inference	SVI in Pyro
Latent Dirichlet Allocation	LDA in Pyro
Variational Autoencoders	VAE in Pyro
MCMC with NumPyro	Getting Started Example, More Examples
MCMC with Discrete Latent Variables	Example
Model Checking with ArviZ	ArviZ Examples