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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

Characterization and Selection of Probability Density Function in a Discrete Random Switching Period SVPWM Strategy

Abstract: Aiming at suppressing the switching frequency harmonics in the integrated permanent magnet synchronous motor (PMSM) systems, a discrete random switching period (DRSP) space vector pulse ...
GitHub

AWS Lambda Handler Cookbook (Python)

This project provides a working, open source based, AWS Lambda handler skeleton Python code includingx DEPLOYMENT code with CDK and a pipeline. This project can serve as a blueprint for new Serverless ...
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 ...