Топ-10 конкурентов diygod.cc

github.com

Join the world's most widely adopted, AI-powered developer platform where millions of developers, businesses, and the largest open source community build software that advances humanity.

yurenju.blog

撰寫就是一種思考方式，發佈與分享只是副產品，而真正的意義是在自我的知識脈絡裡面有了歸屬與連結。

greasyfork.org

自动浏览、点赞、只看楼主、楼层号、保存帖子到本地、清爽模式、黑白灰模式、用户信息展示（批量展示）、查看用户话题、Credit积分悬浮窗。支持拖动和最小化控制面板。支持 linux.do 和 idcflare.com

easystats.github.io

The get_predicted() function is a robust, flexible and user-friendly alternative to base R predict() function. Additional features and advantages include availability of uncertainty intervals (CI), bootstrapping, a more intuitive API and the support of more models than base R's predict() function. However, although the interface are simplified, it is still very important to read the documentation of the arguments. This is because making "predictions" (a lose term for a variety of things) is a non-trivial process, with lots of caveats and complications. Read the 'Details' section for more information. get_predicted_ci() returns the confidence (or prediction) interval (CI) associated with predictions made by a model. This function can be called separately on a vector of predicted values. get_predicted() usually returns confidence intervals (included as attribute, and accessible via the as.data.frame() method) by default. It is preferred to rely on the get_predicted() function for standard errors and confidence intervals - use get_predicted_ci() only if standard errors and confidence intervals are not available otherwise.

matthewpalmer.net

matthew palmer is a software developer from sydney who has created apps like rocket & vanilla, written a kubernetes book, and published popular open source projects.

ochafik.com

prograblah blah (yawn). opinions expressed are my own.