The unravelsports package aims to aid researchers, analysts and enthusiasts by providing intermediary steps in the complex process of turning raw sports data into meaningful information and actionable insights.

Deep Learning Inference benchmark. Supports OpenVINO™ toolkit, TensorFlow, TensorFlow Lite, ONNX Runtime, OpenCV DNN, MXNet, PyTorch, Apache TVM, ncnn, PaddlePaddle, 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