
doi: 10.5281/zenodo.12730846 , 10.5281/zenodo.11084194 , 10.5281/zenodo.11076739 , 10.5281/zenodo.11083409 , 10.5281/zenodo.11084488 , 10.5281/zenodo.12730847 , 10.5281/zenodo.12734378 , 10.5281/zenodo.10669678 , 10.5281/zenodo.11076955 , 10.5281/zenodo.11083408 , 10.5281/zenodo.10672569 , 10.5281/zenodo.10672559 , 10.5281/zenodo.10669679 , 10.5281/zenodo.10672573 , 10.5281/zenodo.10670533
doi: 10.5281/zenodo.12730846 , 10.5281/zenodo.11084194 , 10.5281/zenodo.11076739 , 10.5281/zenodo.11083409 , 10.5281/zenodo.11084488 , 10.5281/zenodo.12730847 , 10.5281/zenodo.12734378 , 10.5281/zenodo.10669678 , 10.5281/zenodo.11076955 , 10.5281/zenodo.11083408 , 10.5281/zenodo.10672569 , 10.5281/zenodo.10672559 , 10.5281/zenodo.10669679 , 10.5281/zenodo.10672573 , 10.5281/zenodo.10670533
Python scripts for the vectorized version of the Particle Filtering algorithm based on Probabilistic Program Graphs described in "Feynman-Kac models for universal probabilistic programming".
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