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YACS is a lightweight library to define and manage system configurations, such
as those commonly found in software designed for scientific experimentation.
These "configurations" typically cover concepts like hyperparameters used in
training a machine learning model or configurable model hyperparameters, such
as the depth of a convolutional neural network.
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