Support the development and maintenance of the Scikit-Learn library, augmentation of its ecosystem with data exchange and data wrangling tools and framework.
Name in original language
Developpement de l'écosystème open-source Scikit-Learn
Initiative overview
The initiative has the following objectives:Consolidate Scikit-Learn's leading position in data science.Extend Scikit-Learn toolbox to tackle new trends and use cases, especially in industrial sectors and with issues relative to trustworthy AI.Enhance Scikit-Learn's position in the Big Data segment by speeding up the library, allowing better parallelisation and GPUs use tools, but also by working on a better integration with Deep Learning libraries such as Tensorflow and Pytorch.Enhance Scikit-Learn along with the whole open-source Data Science ecosystem with a self-contained, interoperable Data Wrangling package.Position France in the global effort for the Web 4.0 by developing locally pieces of the futures W3C standards (especially RDF 2.0).
Name of responsible organisation (in English)
National Institute for Research in Digital Science and Technology (Inria)
