Geomstats is an open-source Python package for Riemannian geometry in Machine Learning developed by an international team of researchers in which our team is strongly involved. We are happy to have organized our second coding sprint of the year at the Villa Clythia, in Frejus between April 4th – 8th….
Geomstats is an open-source Python package for Riemannian geometry in Machine Learning developed by an international team of researchers in which our team is strongly involved. We are happy to have organized our first coding sprint of the year at the Inria Sophia Antipolis, between February 21- 25th. During this…
Nicolas Guigui and Thomas Gerald presented geomstats at the 3rd Inria DevTalk on December 1st at the Sorbonne Center for Artificial Intelligence (SCAI), more info on the event page.
Nicolas Guigui was invited to present his work at the seminar of the SAMM lab (Statistics, Analysis, Multi-disciplinary Modeling) of University Paris 1, on October 1st. More info on the organizers’ web page.
Geomstats is an open-source Python package for Riemannian geometry in Machine Learning developed by an international team of researchers in which our team is strongly involved. We are happy to organize our last coding sprint of the year at the SCAI in Paris, between December 13-17th. During this sprint, we…
Nicolas Guigui presented a poster on the package geomstats at the workshop on Joint Structures and Common Foundations of Statistical Physics, Information Geometry and Inference for Learning (SPIGL’20) taking place at the Ecole de Physique des Houches between July 26th-31st.
We are happy to announce that the package geomstats was presented at the Scipy conference 2020 in the Machine Learning session on July 6th! More info on the conference here. Proceeding paper here.
