Sports Libraries

NautilusTrader is an open-source, high-performance, production-grade algorithmic trading platform, providing quantitative traders with the ability to backtest portfolios of automated trading strategi…

You should already have pip, Python, and optionally XGBoost, LightGBM, and CatBoost installed on your system (see below). Run the following command to install AlphaPy: Pyfolio is automatically instal…

The README of this repository is a concise list of learning resources, data sources, libraries, papers, blogs, podcasts, etc., created by all those that have made contributions to the football analyt…

A machine learning AI used to predict the winners and under/overs of NBA games. Takes all team data from the 2007-08 season to current season, matched with odds of those games, using a neural network…

ℹ️ Functionalities :

可以找我代挂 Q群:553984868 闲鱼: Khalilc Windows, Linux 暂时运行方法： 压缩包解压多个文件夹,然后各自不同的配置文件多开即可实现 或者你也可以使用Docker来实现多开. config.yaml

Meet SportsLabKit: The essential toolkit for advanced sports analytics. Designed for pros and amateurs alike, we convert raw game footage into actionable data. We're kicking off with soccer and expan…

Under the 'comprehensive' aspect, the project will explore and test all plausible prediction methods, ensuring an evolving scope and prioritization based on the utility of the results. This creates a…

A Dataset and Tracking Algorithm for Soccer with Fish-eye and Drone Videos. All data in SoccerTrack was obtained from 11-vs-11 soccer games between college-aged athletes. Measurements were conducted …

It has the following features: To insert dummy rows into the database, run: Based on your browser settings, your language should be automatically detected and loaded. For now, there's no manual way o…