Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

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

This is a fork authored by the OpenMetadata community, where we are adding sqlfluff as a parsing backend instead of sqlparse. Never get the hang of a SQL parser? SQLLineage comes to the rescue. Given ...

PyPy, an alternative runtime for Python, uses a specially created JIT compiler to yield potentially massive speedups over CPython, the conventional Python runtime. But PyPy’s exemplary performance has ...

An exercise-driven course on Advanced Python Programming that was battle-tested several hundred times on the corporate-training circuit for more than a decade. Written by David Beazley, author of the ...

Abstract: With the rapid proliferation of telecommunication and RF applications, so, too, has demand grown for tools to design and characterize these devices. scikit-rf is a Python package designed to ...