Learning Bayesian Statistics cover image

#44 Building Bayesian Models at scale, with Rémi Louf

Learning Bayesian Statistics

00:00

Using Black Jacks to Build Samplers

The goal of blank tanks is to have a library of common, an state of ard algaritms that are implemented in python and with jacks. The internals are very mogular. Build around small mudules that you can reuse and use in different contexts. Frances we have jumpe la who pla and use the different little mudles and put them together to be able to plug the trajectories in nuts very easily. Lii, d have to re implement the got metric or the integrator, a just coldder function. And then yo had tan integrator and the metric, and then could actually show the trajectories.

Play episode from 35:15
Transcript

The AI-powered Podcast Player

Save insights by tapping your headphones, chat with episodes, discover the best highlights - and more!
App store bannerPlay store banner
Get the app