The objective of this GitHub project is to demo a simple CRUD web api application with additional tutorials (including YouTube videos) and references including ...
Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
Abstract: Python is a widely-used programming language in various applications, including those developed using DevOps practices. However, the utilization of Python in DevOps presents security ...
Deep learning methods for motion tracking have revolutionised a range of scientific disciplines, from neuroscience and biomechanics, to conservation and ethology. Tools such as DeepLabCut and SLEAP ...
They can’t guarantee future health, but they can tell you the trajectory you’re on. By Dana G. Smith Take a minute to consider the last decade of your life. What type of physical shape do you hope to ...
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