Deep Learning with Yacine on MSN

Nesterov accelerated gradient (NAG) from scratch in Python – step-by-step tutorial

Dive deep into Nesterov Accelerated Gradient (NAG) and learn how to implement it from scratch in Python. Perfect for ...
Deep Learning with Yacine on MSN

Gradient descent from scratch in Python – step by step tutorial

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and ...
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 ...
earth

New algorithm finds the shortest path to any point in record time

Shortest path algorithms sit at the heart of modern graph theory and many of the systems that move people, data, and goods around the world. After nearly seventy years of relying on the same classic ...
IEEE

Comparative Analysis of BFS, Dijkstra, and A* Pathfinding Algorithms in 2D Maze: A Time-Based Approach

Abstract: This paper presents a detailed comparison of three popular path-finding algorithms: BFS, Dijkstra’s algorithm, and A*, for solving 2D mazes. Path-finding is a widely studied problem in ...