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 ...

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 ...

Nigel Drego, Co-founder and Chief Technology Officer at Quadric, presented the “ONNX and Python to C++: State-of-the-art Graph Compilation” tutorial at this year’s Embedded Vision Summit. Quadric’s ...

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 ...

Alzheimer's Disease (AD), a leading neurodegenerative disorder, presents significant global health challenges. Advances in graph neural networks (GNNs) offer promising tools for analyzing multimodal ...

In this tutorial, we implement an advanced graph-based AI agent using the GraphAgent framework and the Gemini 1.5 Flash model. We define a directed graph of nodes, each responsible for a specific ...

Currently, PyTorch supports CUDA Graph features under torch.cuda namespace, providing capture, replay functionality via C++ CUDAGraph implementation. This RFC proposes to generalize the existing graph ...

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

Abstract: This tutorial aims to introduce Event Graphs (EGs), invented 40 years ago by Lee Schruben to allow eventbased modeling of discrete dynamic systems. Their simplicity and naturalness in ...

In this tutorial, we explore how to leverage the PyBEL ecosystem to construct and analyze rich biological knowledge graphs directly within Google Colab. We begin by installing all necessary packages, ...