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OpenSTARLab Event Modeling package

Documentation Status dm ArXiv

Introduction

The OpenSTARLab Event package is the fundamental package for event modeling. It is designed to provide a simple and efficient way to train, inference, and simulate events. This package supports the data preprocessed by the OpenSTARLab PreProcessing package.

This package is continuously evolving to support future OpenSTARLab projects. If you have any suggestions or encounter any bugs, please feel free to open an issue.

Installation

  • Install pytorch (recommended version 2.4.0 linux pip python3.8 cuda12.1)
pip install torch torchvision torchaudio
  • To install this package via PyPI
pip install openstarlab-event
  • To install manually
git clone [email protected]:open-starlab/Event.git
cd ./Event
pip install -e .

Current Features

Sports

RoadMap

  • Release the package
  • Provide pre-trained models

Other Information

Development torch version

version 2.4.0 linux pip python3.8 cuda12.1 

Developer

Calvin Yeung
Calvin Yeung

💻
Keisuke Fujii
Keisuke Fujii

🧑‍💻

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Event Data Modeling Package

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