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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

Hierarchical Attention Module-Based Hotspot Detection in Wafer Fabrication Using Convolutional Neural Network Model

Abstract: Wafer mappings (WM) help diagnose low-yield issues in semiconductor production by offering vital information about process anomalies. As integrated circuits continue to grow in complexity, ...
GitHub

wstanislaus/Xilinx_KR260_Yocto

This repo contains the Yocto build infrastructure for the Xilinx_KR260 platform. It targets the KR260 Development Kit with the commercial K26 SOM (with on-module eMMC) and produces the QSPI image, ...
IEEE

Jupyter Notebook Attacks Taxonomy: Ransomware, Data Exfiltration, and Security Misconfiguration

Abstract: Open-science collaboration using Jupyter Notebooks may expose expensively trained AI models, high-performance computing resources, and training data to security vulnerabilities, such as ...
GitHub

An Introduction to Statistical Learning — Personal Study

An Introduction to Statistical Learning. It includes exercise solutions implemented in Python using Jupyter Notebooks, following the chapters of the book. The goal is to better understand statistical ...