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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.
Very fast classification model for facial expressions using Mediapipe facial landmarks, Scikit-learn and OpenCV, as part of the DYNAMO project