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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

A New Reconfigurable True Random Number Generator and Physical Unclonable Function Unified Chip With On-Chip Auto-Calibration

Abstract: True random number generator (TRNG) and physical unclonable function (PUF) have been extensively used to secure low-cost Internet of Things (IoT) endpoints. In this paper, a lightweight ...
GitHub

Arduino library for faster generation of random numbers.

This library contains functions that have the goal to deliver random bits faster than the build in random function can, while still using it. The idea is to have a buffer ( __randomBuffer) which can ...
IEEE

Deep Learning Algorithms for the Work Function Fluctuation of Random Nanosized Metal Grains on Gate-All-Around Silicon Nanowire MOSFETs

Abstract: Device simulation has been explored and industrialized for over 40 years; however, it still requires huge computational cost. Therefore, it can be further advanced using deep learning (DL) ...
GitHub

Python Functions for MemGPT

These functions created for use with MemGPT are designed with the Windows operating system in mind. Mostly the os dependency is file-system related and they can be edited to work on linux and Mac ...