Evaluation allows us to assess how a given model is performing against a set of specific tasks. This is done by running a set of standardized benchmark tests against the model. Running evaluation ...

In the digital realm, ensuring the security and reliability of systems and software is of paramount importance. Fuzzing has emerged as one of the most effective testing techniques for uncovering ...

Your blueprint for better Python architecture. pattern_kit is a developer-friendly Python library offering clean, idiomatic implementations of common software design patterns. It focuses on real-world ...

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

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