There are 39 repositories under basketball topic.
๐ Javascript ๅฎ็ฐ็ CXK ๆ็ฏฎ็ๆธธๆ
:basketball::robot::basketball: AI web app and API to analyze basketball shots and shooting pose.
๐ Visualization of NBA games from raw SportVU data logs
Basketball GM (and other ZenGM games) are single-player sports management simulation games, made entirely in client-side JavaScript.
AI Basketball Referee
Repository which contains various scripts and work with various basketball statistics
Home Assistant integration that provides real-time scores in multiple professional (NBA, NFL, NHL, MLB, MLS, and more), college (NCAA), and international (soccer, golf, tennis, mma, racing) sports using ESPN APIs.
Scripts for analyzing NBA sportvu motion data
:basketball: Judging basketball shots and analyzing shooting pose with machine learning
PyTorch code for ICPR 2020 paper "DAG-Net: Double Attentive Graph Neural Network for Trajectory Forecasting"
AI Basketball Games Video Editor is a program to get basketball highlight video by PyTorch YOLOv4 object detection
An R package to quickly obtain clean and tidy men's basketball play by play data.
All the files used in my NCAA Men's Basketball modeling, predictions, bracketology, and Ivy League simulations.
A Home Assistant frontend custom card that will display real-time updates for teams tracked with the ha-teamtracker integration. Has custom in-game layouts for football, baseball, basketball, hockey, soccer, golf, tennis, racing, and mma.
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.
Historical RAPTOR and other NBA data.
Web application for plotting events on a sport's playing area with a single click, while keeping track of any other details. Supports download and upload of .csv files.
Hello Everyone, This project talks about basics of ARKit introduced by Apple in iOS11. Please note that ARKit is only capable wih devices which use A9, A10, A11 chips .It shows how to build a basic BasketBall app using ARKit. All written in Swift4.
A Machine Learning project to predict the results of the NCAA Men's March Madness Basketball tournament.
A machine learning project to predict NCAA Men's Basketball outcomes
Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
Using Keras, TensorFlow.js and image processing to analyse my basketball skillz.
Objective of this project was to emulate a Basketball scoreboard, with timer and two teams scores. See readme for pic and more details. FPGA design with Vivado.