Deep Learning with Yacine on MSN

Build k-nearest neighbors from scratch in Python – step by step tutorial

Learn how to implement the K-Nearest Neighbors (KNN) algorithm from scratch in Python! This tutorial covers the theory, ...
IEEE

PVLIB: Open source photovoltaic performance modeling functions for Matlab and Python

Abstract: PVLIB is a set of open source modeling functions that allow users to simulate most aspects of PV system performance. The functions, in Matlab and Python, are freely available under a BSD 3 ...
IEEE

Hardware Self-Organizing Map With Dithered Step Neighborhood Function

Abstract: In this paper, a hardware-based SOM architecture with a dithered step (DS) neighborhood function is introduced. In the DS function, dithering is added to a conventional step neighborhood ...
GitHub

HMAC-based Key Derivation Function (HKDF) RFC 5869

Add dependency to your pom.xml (check latest release): HKDF follows the "extract-then-expand" paradigm, where the KDF logically consists of two modules. To "extract" (condense/blend) entropy from a ...