Pyro 1.9.1 is released with a Lévy Stable.log_prob(), a WeighedPredictive, PyroModuleList, bug fixes, and improved type hints. Thanks to @eteq, Dario Coscia, Martin Bubel, Ben Zickel, Kipper Fletez-Brant, and others!

NumPyro 0.15.0 is released with new contrib modules, including Stochastic Support from @TimReichelt3, Hilbert Space Gaussian Processes Approximation from @juanitorduz, new distributions & enhancements from @tillahoffmann and others. Check the changelog at

Pyro 1.9 is released, adding type hints by @ordabayevy, a Zuko normalizing flows tutorial by @FrancoisRozet, a simple RandomWalkKernel, new tutorials, and many bug fixes.

How do you use Pyro/NumPyro? Let us know at

NumPyro 0.13.0 is released with several enhancements and bug fixes. Pytree Distribution has a new design that makes it work under jax.vmap, thanks to @PierreGlaser.

Pyro 1.8.6 is released: Fixed support for torch 1.11, improved distribution docs, bugfixes with lots of community help. Thanks @FrancoisRozet @rtkushner @david_a_knowles! https://t.co/7KRlg8L5GA

Pyro 1.8.5 is released with fixes to support PyTorch 2, new conditional inverse and compose TransformModules, and a substitute handler. Thanks to many new contributors!

If you need a first draft Pyro model, try asking ChatGPT. For example: How can I use Pyro to learn user preferences among features based on sparse pairwise comparison data, using variational inference?

NumPyro 0.11.0 has been released, along with four new distributions: EulerMaruyama, GaussianCopula, MatrixNormal, LogUniform, a new tutorial for a text-based ideal point model, support for enumeration in SVI and rendering deterministic sites.

Pyro 1.8.3 is released: bug fixes, numerical improvements to Gaussians, optional mode to localize params in nn.Modules

Pyro 1.8.2 is released with many minor fixes.

Pyro 1.8.1 is released: Update to PyTorch 1.11; new tutorial on Bayesian workflow; animated plots in GP tutorial; render_model() now shows params; new distributions and samplers. Thanks @nipun_batra, @KarmPatel216, and others!

I just got a hardcopy of my own book - it finally feels real :) I'm very happy with the print quality (see attached photo) - but you can still get the pdf for free from https://t.co/dSlKkwYpLr if you prefer.

We are pleased to release NumPyro 0.9.0 which includes the new Stein variational inference, 4 new distributions, 5 new tutorials and examples, and many enhancements and bug fixes.

My 1st paper out in @NatureBiotech 🎉 Thread as promised👇 Cell2location, built from first principles, improves the sensitivity and scale of tissue atlasing (combines single cell + spatial transcriptomics). Amazing teamwork @bayraktar_lab @OliverStegle https://t.co/NSU5ljezk4 1/n

Pyro 1.8 is released: 4 new tutorials including single cell transcriptomics, SARS-CoV-2 lineage growth, and drawing with pyro.render_model(); 4 new autoguides and improvements to AutoMultivariateNormal. Thanks @vitaliikl, @ordabayevy!

Sharing a description of TyXe https://t.co/rAHlKdkBfz, a little pyro-based BNN library we designed with Hippolyt Ritter which started with his internship with Uber AI Labs and got presented last year at #ProbProg2020. 1/5

NumPyro 0.8 is released with new mixture|directional distributions, transforms, differentiable annealed importance sampling autoguide, tutorial on some strategies to deal with bad posterior geometric

What is Probabilistic Programming? + A quick & opinionated review of @mcmc_stan @pymc_devs @PyroAi @TuringLang @TensorFlow Probability (TFP) https://t.co/FT88QWm5Le using an example from @rlmcelreath's Statistical Rethinking book

The MuE method is now available as part of Pyro https://t.co/nTrfDO3Tse. Big thanks to @ftzo for making this possible. AND Checkout talk and poster by @EliWeinstein6