Scikit-learn @ Inria Foundation

Fostering growth and sustainability of the reference machine-learning toolbox

with the help of our partners

Scikit-learn, a central tool in AI and data-science

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 of people in the world, with applications ranging from medical imaging to product recommendation.

More on scikit-learn

An open-source project

Scikit-learn is an open-source software, under a 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 foundation’s missions

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.




Minutes of the scikit-learn Advisory Committee meeting (November 8th 2018)   Where present: Chaouki Boutharouite - AXA Sébastien Conort - BNP Paribas Cardif Sylvain Duranton - BCG David Margery - Inria Foundation Olivier Trébucq - Inria Gaël Varoquaux - Inria Excused: Josh Patterson and Guillaume Barat - Nvidia Laurent Duhem - Intel 1- The current administrative and financial situation of the consortium Two engineers have already been recruited…

TECHNICAL COMMITTEE / October 10, 2018

Technical Committee October 10, 2018   Priority list for the consortium at Inria, year 2018–2019   From the points discussed at the meeting, the Technical Committee is proposing the following list of priorities for the actions of the consortium, to be used by the management team for allocating consortium resources:   Faster release cycle & dedicate resources for maintenance. Benchmark and compliance tests (Intel & Nvidia): scikit-learn-benchmarks →…

Announcing scikit-learn @ Inria foundation

Inria is pleased to announce the launch of the scikit-learn initiative in the Inria foundation, a partnership with companies using scikit-learn. Its objectives are to support the development of this reference software: sustaining its high quality and adding new functionalities. Scikit-learn is a library in Python, an high-level programming language. It is dedicated to statistical learning (machine learning) and can be used as middleware, especially for prediction tasks.…