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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

An Adaptive Amplitude-Modulated Pseudo-Random Binary Sequence Excitation for Converter-Based Impedance Spectroscopy Characterization of Photovoltaic Modules

Abstract: Pseudo-random binary sequence (PRBS) has been implemented through DC-DC converters for internal impedance identification and shown to be faster and easier to implement than analogue multiple ...
GitHub

password-generator-python

A powerful and flexible Python-based tool for generating high-quality password dictionaries for penetration testing and cybersecurity research. This project allows users to create custom wordlists ...
GitHub

Rethinking Few-Shot Adaptation of Vision-Language Models in Two Stages

Abstract. An old-school recipe for training a classifier is to (i) learn a good feature extractor and (ii) optimize a linear layer atop. When only a handful of samples are available per category, as ...