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

Here’s a quick library to write your GPU-based operators and execute them in your Nvidia, AMD, Intel or whatever, along with my new VisualDML tool to design your operators visually. This is a follow ...

Explore Python Physics Lesson 8 and discover how energy shapes orbits with clear, step-by-step graphs and simulations. This lesson explains the relationship between kinetic and potential energy in ...

According to God of Prompt on Twitter, Graph Retrieval-Augmented Generation (Graph RAG) enables relationship traversal by connecting customer tickets, API documentation, engineering discussions, and ...

Physics and Python stuff. Most of the videos here are either adapted from class lectures or solving physics problems. I really like to use numerical calculations without all the fancy programming ...

Hey! I noticed that the repo doesn’t yet have Dijkstra’s Algorithm, which is super useful for finding the shortest path in weighted graphs. I’d love to add it. Here’s what I plan to do: Implement ...

STM-Graph is a Python framework for analyzing spatial-temporal urban data and doing predictions using Graph Neural Networks. It provides a complete end-to-end pipeline from raw event data to trained ...

Sainsbury Wellcome Centre, University College London, United Kingdom; Department of Neuroscience, Physiology and Pharmacology, University College London, United Kingdom; ...

Abstract: Middle weak Roman domination is an important graph theory concept that has important applications in defense, network design, optimization, and resource management. A middle weak Roman ...