
Pyro Discussion Forum
Sep 17, 2025 · Forum For Pyro Developers
Variational Inference for Dirichlet process clustering - Pyro ...
Jan 31, 2018 · Hi there! This is my first time using Pyro so I am very excited to see what I can built with it.🙂 Specifically, I am trying to do finite Dirichlet Process clustering with Variational …
Write custom guide based on PyroModule for ... - Pyro Discussion …
Jan 11, 2024 · Hi everyone, I’m quite new on Pyro framework. I’m trying to understand its functionalities building some basic bayesian neural networks. I successfully built a basic …
ClippedAdam Gradient Explosion - Misc. - Pyro Discussion Forum
May 15, 2024 · I am using pyro.optim.ClippedAdam and have tried clip_norm = 0.00001, 1.0, 10 and a bunch of values in between, but the gradients are always regardless and don’t appear to …
How is model conditioned using pyro.sample in factor?
Dec 14, 2020 · Hi @true, we consider the implementation of pyro.factor () an implementation detail: its effect should be to add a log prob term to the trace when used by inference …
numpyro - Pyro Discussion Forum
Jun 3, 2019 · Forum For Pyro Developers
Dependency tracking in Pyro - Tutorials - Pyro Discussion Forum
Nov 17, 2018 · A Pyro program shares batch dimensions (-1, -2) across the whole program (across different sample statements). Variables assigned to different dimensions (ie -1 and -2 …
Understanding when to use to_event () in VAE ... - Pyro Discussion …
Nov 18, 2020 · I’m going through the Pyro VAE tutorial here (pyro/vae.py at dev · pyro-ppl/pyro · GitHub) but I am struggling to understand how and when to use to_event (). Here’s a bit of …
Resources to learn Pyro - Pyro Discussion Forum
Nov 5, 2020 · Beyond Pyro’s tutorials, a popular community resource for getting started with Bayesian data science is the book “Statistical Rethinking”, for which all code snippets have …
Posterior predictive on a new observation in NumPyro - numpyro
Feb 19, 2024 · Hi @mathlad, this is a great question. Running predictive will give you a collection of samples (x^*,\theta) (conditioned on the data). Dropping those \theta will give you samples …