Julia-and-VB-in-Colab

This is a simple primer script for setting up and using Julia and the RxInfer package for message passing and variational Bayesian inference.

In-browser viewable link:

• https://colab.research.google.com/drive/1KPTWUZad8jiJi12CckClig9MgSBGu1Et?usp=sharing

References:

• Julia: A Fresh Approach to Numerical Computing. Jeff Bezanson, Alan Edelman, Stefan Karpinski, Viral B. Shah. (2017) SIAM Review, 59: 65–98. doi: 10.1137/141000671. pdf.
• Message Passing and Reactive framework: Reactive Message Passing for Scalable Bayesian Inference. Dimtry Bagaev and Bert de Vries. (2023) Hindawi; Scientific Programming, . https://doi.org/10.1155/2023/6601690

RxInfer:

• ReactiveBayes / BIASlab, https://github.com/ReactiveBayes/RxInfer.jl
• RxInfer: A Julia package for reactive real-time Bayesian inference. Dmitry Bagaev, Albert Podusenko, and Bert de Vries. The Journal of Open Source Software (2023). https://joss.theoj.org/papers/10.21105/joss.05161
• Reactive framework and RxInfer.jl package: https://www.youtube.com/watch?v=qXrvDVm_fnE

Original Julia in Colab template link:

• https://colab.research.google.com/github/ageron/julia_notebooks/blob/master/Julia_Colab_Notebook_Template.ipynb

RxInfer/VB tutorials referenced:

• https://www.youtube.com/watch?v=_vVHWzK9NEI
• https://www.youtube.com/watch?v=qnj0PKc734g