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

Abstract: This paper proposes an automatic framework for controlled data flow graph (CDFG) generation from verilog designs, where the generated CDFGs can be applied to visualization, formal ...

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 ...

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 ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

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 ...

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 ...