开源项目使用教程：state-of-the-art-result-for-machine-learning-problems

开源项目使用教程：state-of-the-art-result-for-machine-learning-problems

state-of-the-art-result-for-machine-learning-problemsThis repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.项目地址:https://gitcode.com/gh_mirrors/st/state-of-the-art-result-for-machine-learning-problems

1. 项目的目录结构及介绍

该项目的目录结构如下：

state-of-the-art-result-for-machine-learning-problems/
├── LICENSE
├── README.md
└── 其他文件和目录

• LICENSE: 项目的许可证文件，采用Apache-2.0许可证。
• README.md: 项目的主文档，包含项目的基本介绍、使用说明和贡献指南。

2. 项目的启动文件介绍

该项目没有明确的启动文件，因为它主要是一个信息汇总仓库，用于展示机器学习问题的最新研究成果。用户可以通过阅读README.md文件来获取项目的详细信息和使用方法。

3. 项目的配置文件介绍

该项目没有传统的配置文件，因为它不包含可执行代码或需要配置的软件。用户可以通过提交问题或填写Google表单来更新或添加新的研究成果信息。

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以上是关于state-of-the-art-result-for-machine-learning-problems项目的基本使用教程。希望这些信息能帮助你更好地了解和使用该项目。

state-of-the-art-result-for-machine-learning-problemsThis repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.项目地址:https://gitcode.com/gh_mirrors/st/state-of-the-art-result-for-machine-learning-problems