This is the code for the "An intro to probabilistic programming with Uber's Pyro" by Siraj Raval on Youtube
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!
This is the demo code from this video on Youtube by Siraj Raval on Probabilistic programming using Uber's Pyro. http://pyro.ai/
- pytorch
- numpy
install dependencies using pip
run demo.py
in terminal to see the output
Credits go to the Uber team, i've merely created a wrapper to get people started.