Team, Visitors, External Collaborators
Overall Objectives
Research Program
Application Domains
Highlights of the Year
New Software and Platforms
New Results
Bilateral Contracts and Grants with Industry
Partnerships and Cooperations
Dissemination
Bibliography
XML PDF e-pub
PDF e-Pub


Section: Bilateral Contracts and Grants with Industry

Scikit-learn Consortium

Scikit-learn is a machine-learning library in Python. It is the engine that powers many applications of artifical intelligence and data science.

Scikit-learn is used on a regular basis by more than half a million people in the world, with applications ranging from medical imaging to product recommendation.

Scikit-learn is an open-source software, under BSD license that facilitates commercial usage. It is developed by a world-wide community, gathering many different expertise on statistics, algorithms and software production.

The quality of scikit-learn, its algorithms, its interfaces, its documentation, are universally acclaimed. Its development follows a strict process to ensure this quality.

The goal of the foundation is to enable maintaining scikit-learn’s high standards addressing new challenges.

The foundation employs central contributors to the project, to support scikit-learn’s community and to develop new ambitious features. The priorities of the foundation are set jointly by the community and its sponsors.

More information can be found here http://scikit-learn.fondation-inria.fr/home.

The consortium is supported by 8 companies and has an annual budget of about half a million euros.