Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Version 3.2.0 - A Python-based tool for analyzing noise in lamp data according to ASTM standards. This release adds macOS/Linux helpers, enforces wheel-only installs, and keeps the same GUI/reporting ...
Abstract: By integrating a nearly infinite number of reconfigurable elements into a finite space, a spatially continuous array aperture is formed for holographic multiple-input multiple-output (HMIMO) ...
Welcome to the Python Learning Roadmap in 30 Days! This project is designed to guide you through a structured 30-day journey to learn the Python programming language from scratch and master its ...
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