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

So, you want to learn Python, huh? It’s a pretty popular language these days, used for all sorts of things from making websites to crunching numbers. The good news is, you don’t need to spend a ...

dstack is an open-source control plane for running development, training, and inference jobs on GPUs—across hyperscalers, neoclouds, or on-prem.