Search Results for "tu-testbed"

The key difference with current graph deep learning libraries, such as PyTorch Geometric (PyG) and Deep Graph Library (DGL), is that, while PyG and DGL support basic graph deep learning operations, DIG provides a unified testbed for higher level, research-oriented graph deep learning tasks, such as graph generation, self-supervised learning, explainability, 3D graphs, and graph out-of-distribution. If you are working or plan to work on research in graph deep learning, DIG enables you to develop your own methods within our extensible framework, and compare with current baseline methods using common datasets and evaluation metrics without extra efforts. ...

Kamaelia is designed as a testbed for network experimentation using a component architecture designed to simplify creation and testing of new protocols for large scale media delivery systems.

This is a testbed for projects of personal interests, especially academic projects.

Clint is a testbed for static source-code checking techniques. It is currently designed to check C++ for common programmer errors and suggest improvements.