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Data in the fields of text, speech, and images is easier to process into a grid-like type of Euclidean space, which is suitable for processing by existing deep learning models. Graph is a data type in non-Euclidean space and cannot be directly applied to existing methods, requiring a specially designed graph neural network system. Graph-based learning methods such as graph neural networks combine end-to-end learning with inductive reasoning, and are expected to solve a series of problems such as relational reasoning and interpretability that deep learning cannot handle.
MicroCity is a framework for spatial analysis and simulation. It is lightweight, fast, portable, extendable and user friendly. Users can easily operate large GIS and Griddata and perform Spatial, Fractal, Network analysis and simulation.
Library implementing the GridRPC and GridRPC DM OGF stantards.
This library is a common implementation of both the Open Grid Forum GridRPC API _and_ GridRPC API Data Management standards.
It is completely modular and already supports middleware modules for DIET and Ninf, as well as data manager modules for iRods, OwnCloud, rsync, scp.
The installation is made easy with cmake and testing examples can be launched in a one line command.
wxWindow library plugin for basic tables / lists. Library will create 2 Dimensional dynamic structures of data with
- edit, load, save,
- search, sort, index
- View in a list, tree, grid
- Copy / paste to the clipboard.
- Table Encryption / data encryption
- Auto HTML table creator.
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