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

You can apply a Processor to any input stream and easily iterate through its output stream: The concept of Processor provides a common abstraction for Gemini model calls and increasingly complex ...

It is the perfect companion for building cloud-native applications with FastAPI and FastStream, providing essential tools for running in distributed and containerized environments. The logging package ...