Deep Learning Inference benchmark. Supports OpenVINO™ toolkit, Caffe, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch, Apache TVM, ncnn, etc.
-
Updated
May 24, 2024 - HTML
Deep Learning Inference benchmark. Supports OpenVINO™ toolkit, Caffe, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch, Apache TVM, ncnn, etc.
The code, citation & note companion to the AICamp Webinar "Understanding Graph Convolutional Networks" hosted on September 7th, 2021.
Graph neural network models to perform link prediction on the nba and ncaa point differential graph on seasons 2013-2019, 2021.
A GNN-based surrogate model of urban drainage networks.
Very fast classification model for facial expressions using Mediapipe facial landmarks, Scikit-learn and OpenCV, as part of the DYNAMO project
Add a description, image, and links to the spektral topic page so that developers can more easily learn about it.
To associate your repository with the spektral topic, visit your repo's landing page and select "manage topics."