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: Sparse superposed code (SSC) is one of the most promising techniques to support the ultra-reliable and low-latency communication (URLLC). Compared with the conventional sparse vector code ...
Don't you hate it when machines can't follow simple instructions? Anthropic's Claude Code can't take "ignore" for an answer and continues to read passwords and API keys, even when your secrets file is ...
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 ...
SlipCover is a fast code coverage tool. It tracks a Python program as it runs and reports on the parts that executed and those that didn't. That can help guide your testing (showing code that isn't ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results