Abstract: Artificial neural networks (ANNs) rely significantly on activation functions for optimal performance. Traditional activation functions such as ReLU and Sigmoid are commonly used. However, ...

This repository serves as a reference implementation for integrating function calling capabilities with Deepgram's Voice Agent API using Python Flask. It demonstrates production-ready patterns for ...

Abstract: Total variation (TV) is a widely used function for regularizing imaging inverse problems that is particularly appropriate for images whose underlying structure is piecewise constant. TV ...

The Apple Health Parser Python package simplifies the extraction and analysis of health data exported from Apple HealthKit. Designed for seamless integration into data science workflows and health ...

Throughout human history, epidemics have been a constant presence. Understanding their dynamics is essential to predict scenarios and make substantiated decisions. Mathematical models are powerful ...