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 ...

A library for easily accessing dbt's Semantic Layer via Python. Note that all method calls that will reach out to the APIs need to be within a client.session() context manager. By using a session, the ...

CrashFix crashes browsers to coerce users into executing commands that deploy a Python RAT, abusing finger.exe and portable Python to evade detection and persist on high‑value systems.

Abstract: The paper introduces TED, a Python-based analog hardware design environment that simplifies the design process for both netlist and layout. With its domain-specific syntax and built-in ...

The objective of this GitHub project is to demo a simple CRUD web api application with additional tutorials (including YouTube videos) and references including ...

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