NumFOCUS is delighted to announce the addition of the Shogun Machine Learning Toolbox to our fiscally sponsored projects.

Shogun’s mission is to make powerful machine learning tools available to everyone —researchers, engineers, students — anyone curious to experiment with machine learning to leverage data. The Shogun Machine Learning Toolbox provides efficient implementations of standard and state-of-the-art machine learning algorithms in an accessible, open-source environment.

A core strength of Shogun is that its internals, written in modern C++, can be interfaced from many languages, including Python, Octave, R and more, under a unified interface. This approach allows for rapid prototyping in high-level languages while harnessing the benefits of efficient low-level implementations. See the examples at shogun.ml/examples or try a free cloud version of the Python interface at cloud.shogun.ml