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UID:pretalx-juliacon2024-LPWA8D@pretalx.com
DTSTART;TZID=CET:20240710T120000
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DESCRIPTION:HMMs are a very useful statistical framework\, but existing imp
 lementations often limit user creativity. With Julia\, we can have it all:
  custom probability distributions\, arbitrary types\, numerical stability\
 , automatic differentiation\, exogenous controls... without giving up on p
 erformance!\nThis talk will introduce the package `HiddenMarkovModels.jl` 
 and its main features\, but also share useful lessons about leveraging abs
 traction in scientific software.
DTSTAMP:20260315T205021Z
LOCATION:Method (1.5)
SUMMARY:Fast and generic Hidden Markov Models - Guillaume Dalle
URL:https://pretalx.com/juliacon2024/talk/LPWA8D/
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