New popular data sets, techniques, research paper links are some of the suggested ways you can contribute.
贡献者指南
技术栈
无
领域
documentationcontent
议题类型
documentation
难度面向新贡献者的预计实现难度，1 表示很小改动，5 表示专家级工作。
1
预计时间有经验贡献者完成调查、实现、测试并准备 pull request 的粗略时间范围。
1-3 hours
活动状态议题当前的可参与程度：新鲜、活跃、陈旧、阻塞或等待维护者输入。
stale
清晰度议题是否清楚说明期望改动、验收标准和下一步。
clear
前置要求
none
新手友好度1-100 的估计分数，表示该议题对首次贡献者的友好程度。
90
研究方向
Find and add links to popular machine learning datasets (e.g., ImageNet, COCO, MNIST), common techniques (e.g., supervised learning, neural networks), and influential research papers (e.g., 'Attention is All You Need'). Ensure all links are valid and relevant. The repository likely has a section for ML resources under the Algorithms or Topics directory; update the appropriate file.
Add resources to Machine Learning · vicky002/AlgoWiki#225 | Good First Issue
