BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//pretalx.com//juliacon-2022//speaker//3CFNUV
BEGIN:VEVENT
UID:pretalx-juliacon-2022-FXMQPQ@pretalx.com
DTSTART:20220727T144000Z
DTEND:20220727T145000Z
DESCRIPTION:Dithering algorithms are a group of color quantization techniqu
 es that create the illusion of continuous color in images with small color
  palettes by adding high-frequency noise or patterns. Traditionally used i
 n printing\, they are now mostly used for stylistic purposes.\n\nDitherPun
 k.jl implements a wide variety of fast and extensible dithering algorithms
 . Using its example\, I will demonstrate how packages for creative coding 
 can be built on top of the JuliaImages ecosystem.
DTSTAMP:20260312T134639Z
LOCATION:Blue
SUMMARY:Dithering in Julia with DitherPunk.jl - Adrian Hill
URL:https://pretalx.com/juliacon-2022/talk/FXMQPQ/
END:VEVENT
BEGIN:VEVENT
UID:pretalx-juliacon-2022-MFU9MN@pretalx.com
DTSTART:20220728T172000Z
DTEND:20220728T173000Z
DESCRIPTION:In pursuit of interpreting black-box models such as deep image 
 classifiers\, a number of techniques have been developed that attribute an
 d visualize the importance of input features with respect to the output of
  a model.\nExplainableAI.jl brings several of these methods to Julia\, bui
 lding on top of primitives from the Flux ecosystem. In this talk\, we will
  give an overview of current features and show how the package can easily 
 be extended\, allowing users to implement their own methods and rules.
DTSTAMP:20260312T134639Z
LOCATION:Blue
SUMMARY:ExplainableAI.jl: Interpreting neural networks in Julia - Adrian Hi
 ll
URL:https://pretalx.com/juliacon-2022/talk/MFU9MN/
END:VEVENT
END:VCALENDAR