Preface

Autor: Meghann Agarwal, Julie Hollek, Dillon Niederhut

Publikováno v: Proceedings of the Python in Science Conference.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c7a09eaeb8a8a68858f773d8be59d7ee
https://doi.org/10.25080/majora-342d178e-000

Safe handling instructions for missing data

Autor: Dillon Niederhut

Publikováno v: Proceedings of the Python in Science Conference.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::101757994c8863db75f1e1881e112966
https://doi.org/10.25080/majora-4af1f417-008

THE PHONATORY CULTURE HYPOTHESIS

Autor: Dillon Niederhut

Publikováno v: The Evolution of Language.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0d529e244ec022dff3d05440564a9147
https://doi.org/10.1142/9789814603638_0026

Introduction to Geometric Learning in Python with Geomstats

Autor: Nina Miolane, Paul Chauchat, Xavier Pennec, Bernhard Kainz, Daniel Brooks, Susan Holmes, Johan Mathe, Niklas Koep, Stefan Heyder, Benjamin Hou, Alice Le Brigant, Christian Shewmake, Yann Thanwerdas, Yann Cabanes, Thomas Gerald, Olivier Peltre, Nicolas Guigui, Claire Donnat, Hadi Zaatiti, Hatem Hajri

Publikováno v: SciPy 2020-19th Python in Science Conference
SciPy 2020-19th Python in Science Conference, Jul 2020, Austin, Texas, United States. pp.48-57, ⟨10.25080/Majora-342d178e-007⟩
Proceedings of the 19th Python in Science Conference

International audience; There is a growing interest in leveraging differential geometry in the machine learning community. Yet, the adoption of the associated geometric computations has been inhibited by the lack of a reference implementation. Such a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f3547d9c37a81d93725731a1eb934095
https://inria.hal.science/hal-02908006/file/geomstats.pdf