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Source channel @githubtrending · Post #14854 · Jun 23

#vue#courses_management_system#education#frappe#javascript#learning#learning_management_system#lms#online_course_platform#online_learning#open_source#python Frappe Learning is an easy-to-use, open-source Learning Management System that helps you create and organize courses with a clear structure of courses, chapters, and lessons. It supports live Zoom classes, quizzes, assignments, and certificates to track and reward learner progress. You can host it yourself or use managed hosting for easy setup and maintenance. Its drag-and-drop course builder and pre-built lessons simplify course creation, while features like notifications and discussion sections enhance interaction. This system helps you share knowledge effectively, monitor learner progress, and provide a smooth, engaging learning experience without complicated setups or high costs. https://github.com/frappe/lms

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ALL About RSS

@AboutRss · Post #876 · 11/19/2020, 01:00 AM

FeedIt trainable RSS reader 登陆 iOS APP Store 频道提及过的机器学习型 #RSS阅读器#FeedIt 在其安卓版和线上版后发布了 #iOS 版: https://apps.apple.com/us/app/feedit-rss-reader/id1538541609 发现于 https://twitter.com/RSSCircus/status/1328955086152806401

ALL About RSS

@AboutRss · Post #840 · 10/13/2020, 01:00 AM

FeedIt :利用机器学习进行文章喜好排序的在线 #RSS阅读器 还记得在 Reddit 上看到个贴,说 Ta 唯一不喜欢 RSS 订阅的一点是:阅读器把所有文章一视同仁,不能告诉 Ta 哪个重要、哪个不重要。回帖里自然有人教育道:RSS 订阅的特色就是没有谁帮你决定哪个重要、哪个不重要。 当然,该帖里也提到,除了关键词过滤或给 Feeds 按重要程度分组外,有几家阅读器可以给文章打分,并以分数改变其排序。比如 #TTRSS 的 Scoring 。 现在,更 fancy 的来了。 #FeedIt 让你可以通过给文章以及文章关键词打“赞”和“踩”来用机器学习训练阅读器对你喜好的把握;一段时日之后,就可以让阅读器按你的喜好来给文章排序了。对于那些订阅很多 Feeds 的玩家,说不定也是条路。 官网在此,自带 #Android App : https://feedit.sk/ 发现于 Reddit 。到底是高大上还是本末倒置,欢迎留言讨论。