Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Support BER (parser) and DER (parser and generator) encoding (including indefinite lengths) 100% python, compatible with version 2.7, 3.5 and higher Can be integrated by just including a file into ...
OpenSlide Python is a Python interface to the OpenSlide library. OpenSlide is a C library that provides a simple interface for reading whole-slide images, also known as virtual slides, which are ...
A Tutorial on how to Connect Python with Different Simulation Software to Develop Rich Simheuristics
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.
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