Open Collective
Open Collective

GeomScale

Open-source development of scalable algorithms for geometric statistics

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$10 USD since Sep 2022

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Budget


Transparent and open finances.

-$5,400.00 USD
Paid
Invoice #113846
+$6,900.00USD
Paid
Grant #113011
geomscale
GitHub Sponsors payment

Credit from GitHub Sponsors to GeomScale

+$10.00USD
Completed
Added funds #575848
$
Today’s balance

$1,489.00 USD

Total raised

$11,509.00 USD

Total disbursed

$10,020.00 USD

Estimated annual budget

$11,510.00 USD

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News from GeomScale

Updates on our activities and progress.

Google Season of Docs 2022

Geomscale has been accepted as an organization in Google Season of Docs 2022!
Read more
Published on May 17, 2022 by Vissarion Fisikopoulos

Google Summer of Code 2022

Geomscale is participating as an open source organization in Google Summer of Code 2022!
Read more
Published on May 17, 2022 by Vissarion Fisikopoulos

About


GeomScale is a research and development project that delivers open source code for state-of-the-art algorithms at the intersection of data science, optimization, geometric, and statistical computing. 

The current focus of GeomScale is scalable algorithms for sampling from high-dimensional distributions, integration, convex optimization, and their applications. One of our ambitions is to fill the gap between theory and practice by turning state-of-the-art theoretical tools in geometry and optimization to state-of-the-art implementations. 

We believe that towards this goal, we will deliver various innovative solutions in a variety of application fields, like finance, computational biology, and statistics that will extend the limits of contemporary computational tools. 

GeomScale aims in serving as a building block for an international, interdisciplinary, and open community in high dimensional geometrical and statistical computing.

Our team