Julien Jerphanion

I am mainly interested in computational, algorithmic and mathematical methods. I first started to contribute to open-source in 2017 and since then my contributions focused on scientific software.

Since April 2021, I work at Inria as a Research Software Engineer, mainly on improving scikit-learn's native performance. I became one of scikit-learn maintainers in October 2021.


Session

07-14
11:20
30min
Scaling scikit-learn: introducing new sets of computational routines
Julien Jerphanion

For more than 10 years, scikit-learn has been bringing machine learning and data science methods to the world. Since then, the library always aimed to deliver quality implementations, focusing on a clear and accessible code-base built on top of the PyData ecosystem.

This talk aims at explaining the recent on-going work of the scikit-learn developers to boost the native performance of the library.

PyData: Software Packages & Jupyter
Liffey Hall 2