aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Bayesian Modeling and Probabilistic Programming in Python
Deep universal probabilistic programming with Python and PyTorch
Probabilistic data structures for processing continuous, unbounded streams.
Algorithm is a library of tools that is used to create intelligent applications.
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
Monadic effects and equational reasoning in Rocq