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, ...
GitHub

OpenASCE: A Python Package for End-to-End Large Scale Causal Learning

OpenASCE (Open All-Scale Casual Engine) is a comprehensive, easy-to-use, and efficient end-to-end large-scale causal learning system. It provides causal discovery, causal effect estimation, and ...
GitHub

Next Generation Python bindings for libiec61850, packaged as a Python wheel.

This repository provides Python bindings for the libiec61850 library, which is an open-source implementation of the IEC 61850 standard for communication networks and systems in substations.
IEEE

MAP Algorithm for Frame Padding Length Estimation: A Classic Example of Decoding With Natural Redundancy in Protocols

Abstract: This letter aims to provide a general methodology for addressing forward error correction (FEC) issues in protocols. Taking the estimation of frame padding ...