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

A Model Context Protocol (MCP) server that enables AI assistants like Claude to interact with your MyFitnessPal data, including food diary, exercises, body measurements, nutrition goals, and water ...

This is example program had written in Python that generate blocks similar minecraft. This implementation is not optmalized because that draw instanced cubes with position offset. The positions are ...

Abstract: Simulation is an excellent tool to study real-life systems with uncertainty. Discrete-event simulation (DES) is a common simulation approach to model time-dependent and complex systems.