Graph Neural Networks (GNNs) are a variant of Deep Neural Networks (DNNs) operating on graphs. GNNs have attributes of both DNNs and graph computation. However, training GNNs on manycore architectures ...

In this article, we present a hardware architecture optimized for sparse and dense matrix processing in TensorFlow Lite and compatible with embedded-heterogeneous devices that integrate central ...

TensorFlow->TensorRT Image Classification This contains examples, scripts and code related to image classification using TensorFlow models (from here) converted to TensorRT.

Add a description, image, and links to the python-qt-node-graph topic page so that developers can more easily learn about it ...