This package provides a Python decorator to save on disk and reuse the results of functions that are long to execute. This can be referred to as persistent memoization. The result of a decorated ...

A machine learning system combining Random Forest predictions with biophysical property scoring for antimicrobial peptide discovery. Optimized for precision over recall — prioritizes avoiding failed ...

We introduce an open-source Python package for the analysis of large-scale electrophysiological data, named SyNCoPy, which stands for Systems Neuroscience Computing in Python. The package includes ...

The ability to quickly develop and deploy interactive applications is invaluable. Streamlit is a powerful tool that enables data scientists and developers to create intuitive web apps with minimal ...

We show an application of supervised deep learning in space sciences. We focus on the relativistic electron precipitation into Earth’s atmosphere that occurs when magnetospheric processes ...