an_intro_to_probabilistic_programming

This is the code for the "An intro to probabilistic programming with Uber's Pyro" by Siraj Raval on Youtube

Coding Challenge - Due Date, Thursday, November 16 at 12 PM PST

Create a Bayesian regression model using Uber's Pyro. You can use any dataset you'd like or a toy dataset. You can find samples of this here. Bonus points for good documentation. Good luck!

Overview

This is the demo code from this video on Youtube by Siraj Raval on Probabilistic programming using Uber's Pyro. http://pyro.ai/

Dependencies

• pytorch
• numpy

install dependencies using pip

Usage

run demo.py in terminal to see the output

Credits

Credits go to the Uber team, i've merely created a wrapper to get people started.