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Awesome GitHub RepositoriesCollaborative Machine Learning Workflows
Standardized organizational patterns that allow multiple researchers to contribute to the same ML codebase.
Distinct from Collaborative Training: Existing candidates focus on collaborative training (federated learning) or learning hubs, not the organizational workflow for team-based ML development.
Explore 1 awesome GitHub repository matching artificial intelligence & ml · Collaborative Machine Learning Workflows. Refine with filters or upvote what's useful.
Awesome Collaborative Machine Learning Workflows GitHub Repositories
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- drivendata/cookiecutter-data-science
drivendata/cookiecutter-data-science
9,919在 GitHub 上查看这是一个 Cookiecutter 脚手架和数据科学项目模板，可自动创建用于分析项目的一致文件夹层级。它提供了一个标准化的目录结构和项目骨架，旨在组织数据科学工作流，以支持可重复性和协作。 该框架建立了标准化的数据流水线布局和可重复的研究框架。它将数据摄取、清洗和建模阶段分离开来，以确保转换过程有清晰的审计追踪和一致的研究结果。 该项目通过为原始数据、处理后的数据集、笔记本和源代码提供基于约定的目录层级来组织工作。这种方法支持协作式机器学习和结构化数据流水线的组织。
Establishes a shared directory convention so multiple team members can contribute to the same codebase without confusion.
Python
