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Showing 3 open source projects for "testbed"
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DIG
A library for graph deep learning research
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... -
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SAgent86 is the Java code for a participant agent in the Agent Reputation and Trust (ART) Testbed 0.3.4.
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The open source Educational System Modeling project (OSESMP) provides a Java-based simulation testbed. Driven by social theory, development conforms to the "process" design pattern exemplified by the theory of communicating sequential processes.
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