Les 10 concurrents fmd-foss.org les plus visités

e-maxx.ru

алгоритмы, олимпиадное программирование, математика

kryogenix.org

stuart langridge of kryogenix consulting, for consultancy and custom development on the web and devices

evanhahn.com

My projects. Mostly programming.

opensource.ieee.org

FAQ Wiki

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.

redox-os.org

the redox official website

napari.org

napari settings: napari provides persistent settings that are stored on a per environment basis. This means that if you have multiple Python environments, each with a napari installation (e.g. different versions), the napari in each environment will have its own set of stored preferences. So, for...

openfga.dev

OpenFGA is a CNCF Incubating open-source fine-grained authorization engine inspired by Google Zanzibar. Used by Grafana, Docker, and Canonical.