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PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
My implementation of the original GAT paper (Veličković et al.). I've additionally included the playground.py file for visualizing the Cora dataset, GAT embeddings, an attention mechanism, and entropy histograms. I've supported both Cora (transductive) and PPI (inductive) examples!
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
Code for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
AI Basketball Referee
Multi-turn dialogue baselines written in PyTorch
Repository which contains various scripts and work with various basketball statistics
B站GNN教程资料
Code and Content for Manning Publication on Graph Neural Networks
Basketball plotting library for use with matplotlib
Basketball coaches often sketch plays on a whiteboard to help players get the ball through the net. A new AI model predicts how opponents would respond to these tactics.