A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
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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