Abstract: In current computing processing infrastructures, optimizing performance and energy efficiency across heterogeneous hardware environments remains a critical challenge. Recently, the growth of ...

In Pyper, the task decorator is used to transform functions into composable pipelines. Let's simulate a pipeline that performs a series of transformations on some data.

Abstract: Kolmogorov–Arnold Networks (KANs) represent a promising machine learning architecture that leverages univariate functional decomposition to model complex phenomena using compact and ...