Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...
WebAssembly runtime introduces experimental async API and support for dynamic linking in WASIX, enabling much broader support ...
JIT compiler stack up against PyPy? We ran side-by-side benchmarks to find out, and the answers may surprise you.
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 ...
Suppose a Jupyter Notebook client (for example, a tab in Google Chrome or Visual Studio Code) provides a JavaScript object whose methods you want to call from its corresponding Python kernel. For ...