Deep Learning with Yacine on MSN

Adadelta optimizer explained – Python tutorial for beginners & pros

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind ...
Deep Learning with Yacine on MSN

Nadam optimizer explained: Python tutorial for beginners & pros

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, ...
IEEE

The Intelligent Traffic Flow Control System Based on 6G and Optimized Genetic Algorithm

Abstract: With the acceleration of urbanization, the problem of urban traffic congestion has become increasingly serious. This study aims to develop an intelligent traffic flow control system based on ...
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

mehd-io/pypi-duck-flow

This project is a collections of pipelines to get insights of your python project. It also serves as educational purpose (YouTube videos and blogs) to learn how to build data pipelines with Python, ...
IEEE

Evaluation of a Machine Learning-based Algorithm for AC Optimal Power Flow

Abstract: Numerous efforts have been made to find efficient optimization methods that reduce resolution times to obtain solutions to the optimal power flow problem in alternating current (ACOPF).