The most advanced responsive front-end framework in the world. Quickly create prototypes and production code for sites that work on any kind of device.
A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more
iRate for swift code. A handy class that prompts users of your iPhone App Store app to rate your application after using it for a while. Similar to iRate, but with a simpler, cleaner interface and automatic support for iOS fast application switching.
This work is supported by the National Institutes of Health's National Center for Advancing Translational Sciences, Grant Number U24TR002306. This work is
solely the responsibility of the creators and does not necessarily represent the official views of the National Institutes of Health.