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Generate realistic test data in Python fast. No dataset required

Learn the NumPy trick for generating synthetic data that actually behaves like real data.
IEEE

A Dual-Stream Deep Learning Architecture With Adaptive Random Vector Functional Link for Multi-Center Ischemic Stroke Classification

Abstract: One of the main causes of death and permanent disability is ischemic stroke, for which prompt and precise diagnosis is essential to successful treatment. This study introduces a novel ...
GitHub

Mr-Python-in-China/cnoi-statement-generator

在浏览器中快速将 Markdown 格式的题目转为 tuack 风格的 PDF 文件。 对网站的问题反馈与新功能请求都可以到 https://github.com/Mr ...
IEEE

Stacked Ensemble Deep Random Vector Functional Link Network With Residual Learning for Medium-Scale Time-Series Forecasting

Abstract: The deep random vector functional link (dRVFL) and ensemble dRVFL (edRVFL) succeed in various tasks and achieve state-of-the-art performance compared with other randomized neural networks ...
GitHub

GenML: A Python Library to Generate the Mittag-Leffler Correlated Noise

GenML is a Python library designed for generating Mittag-Leffler correlated noise, which is crucial for modeling a wide range of phenomena in complex systems. This document provides a brief overview ...
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How to use Python as a vector calculator for electric fields

Learn how to use Python as a vector calculator for electric fields. This video shows how to represent charges and position vectors, compute field direction and magnitude, and solve problems faster ...