52°North is an open source initiative in the field of geoinformatics. Core topics of our activities are for example sensor web, web-based geoprocessing and earth observation.
Alaska Project Ideas are mentored by the researchers and collaborators of the University of Alaska and supported by other open-source entities in Alaska, such as Alaska Dev Alliance.
ArduPilot is the world's most widely used open source flight code software for unmanned autonomous vehicles including planes, multicopters, helicopters, cars, boats, submarines, blimps, antenna trackers and much more.
CERN-HSF (High-Energy Physics Software Foundation) is the umbrella organization for high-energy physics-related projects in GSoC. The HEP Software Foundation (http://hepsoftwarefoundation.org/) facilitates the coordination of common international efforts in high-energy physics software and computing.
CGAL is a software library that offers a number of reliable geometric data structures and algorithms. CGAL components operate in 2D and 3D, and sometime in arbitrary dimensions. Examples of components include convex hulls, convex decomposition, Delaunay triangulations, Voronoi diagrams, polygonal surface mesh data-structures, mesh generation, Boolean operations, envelope computations, intersection detection, surface reconstruction, and subdivision surfaces.
The Cuneiform Digital Library Initiative (CDLI) is a global collaboration of Assyriologists, museum curators, and historians working together to make the world’s earliest written records accessible online. CDLI focuses on cuneiform inscriptions dating back to the very beginning of writing around 3350 BC. Today, more than 500,000 such artifacts are held in museums and private collections worldwide, and CDLI has already digitally catalogued over 350,000 of them, helping researchers and the public explore humanity’s oldest written heritage.
We democratize access to AI tools for drug discovery and other scientific applications of deep learning more broadly. We also maintain a collection of scientific datasets for benchmarking and building new deep learning architectures along with an extensive open source collection of scientific machine learning tutorials. DeepChem has a strong educational component and partners with a broad range of academic and governmental institutions.