I 'm a big fan of Python for data analysis, but even I get curious about what else is available. R has long been the go-to ...

The advantage of Python is that you can apply operations to larger datasets with hundreds, even thousands, of data points ...

Abstract: Many studies have demonstrated the vulnerability of Deep Neural Networks (DNNs) to adversarial attacks. While numerous research efforts have proposed high-performance adversarial attacks and ...

The method, called Verbalized Sampling (VS), helps models like GPT-4, Claude, and Gemini produce more diverse and human-like outputs—without retraining or access to internal parameters. It is ...

[2025-06-01] Many thanks to @aherzinger for implementing and refactoring the Generator and RAG models. [2025-05-30] Huge thanks to @baraayusry for implementing the Online Retriever using CrawAI and ...

Welcome to Python Energy Microscope. This repository contains source code, benchmarks, and energy profiling tools for our research study: "Python Under the Microscope: A Comparative Energy Analysis of ...