MLSea-KG

MLSea-KG is a declaratively constructed and regularly updated KG with more than 1.44 billion RDF triples of ML experiments, regarding datasets used in ML experiments, tasks, implementations and related hyper-parameters, experiment executions, their configuration settings and evaluation results, code notebooks and repositories, algorithms, publications, models, scientists and practitioners. It integrates data from OpenML, Kaggle and Papers with Code. Latest update: January 10th 2024MLSea-KG（知识图谱，Knowledge Graph）是一款采用声明式构建方式并定期更新的知识图谱，包含超过14.4亿条面向机器学习实验的RDF三元组，涵盖机器学习实验所用数据集、任务、实现方案及相关超参数、实验执行流程、配置设置与评估结果、代码笔记本与代码仓库、算法、学术出版物、模型、科研人员与从业者。该知识图谱整合了来自OpenML、Kaggle及Papers with Code的相关数据，最新更新时间为2024年1月10日。