This library is not meant to stand-alone. Instead it defines common helpers used by all Google API clients. For more information, see the documentation. Python == 2.7, Python == 3.5, Python == 3.6, ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
The FIT SDK documentation is available at https://developer.garmin.com/fit. Creating Decoder objects requires an input Stream representing the binary FIT file data to ...
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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