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, ...

From Idea to Release, Auto Claude Coordinates Agents, QA & Git to Ship Cleaner Code

Set up AutoClaude with Python 3.12+, Git, and an API key, then run long autonomous sessions that free your time and reduce ...
GitHub

pyopmspe11: A Python framework using OPM Flow for the SPE11 benchmark project

This repository contains scripts to set up a workflow using Python for the three cases in the SPE11 project, and to reproduce the sumbitted results from the OPM team published in the SPE11 benchmark ...
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

Generalized Flow-Graph Programming Using Template Task-Graphs: Initial Implementation and Assessment

Abstract: We present and evaluate TTG, a novel programming model and its C++ implementation that by marrying the ideas of control and data flowgraph programming supports compact specification and ...
IEEE

Improved Multi-Dimensional Holomorphic Embedding-Based Approximate Dynamic Programming for Stochastic Optimal Power Flow of Active Distribution Network

Abstract: The optimal power flow (OPF) problem of active distribution network (ADN) is a stochastic, nonconvex, and nonlinear problem. Although several algorithms have been presented to solve this ...