Design intelligent AI agents with retrieval-augmented generation, memory components, and graph-based context integration.

Explore core physics concepts and graphing techniques in Python Physics Lesson 3! In this tutorial, we show you how to use Python to visualize physical phenomena, analyze data, and better understand ...

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Mike Johnson gives update on Jan. 6 plaque Alaska received 7 feet of snow, sinking ...

ABSTRACT: The accurate prediction of backbreak, a crucial parameter in mining operations, has a significant influence on safety and operational efficiency. The occurrence of this phenomenon is ...

Fama–French Factor Graphs is a Python-based analytical tool for visualising factor model regressions using the Fama–French framework. The program enables users to plot and compare exposures to the ...

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This repository implements a factor graph and solves it incrementally with the iSAM2 algorithm from the GTSAM library https://gtsam.org/. This code corresponds to the ...

The Agent-to-Agent (A2A) protocol is a new standard by Google that enables AI agents—regardless of their underlying framework or developer—to communicate and collaborate seamlessly. It works by using ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...