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: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...

Abstract: This paper introduces FLighthouse, an open-source python [1] framework designed for development and testing of multi-agent guidance and path planning algorithms. FLighthouse is composed of ...

Plugin Support - Supports common plugins like PySide6, Tkinter, etc. Choose the Python interpreter from the environment where the files will be packaged Example: ...