Interactive and configurable graphs with react and d3 effortlessly
Deep Neural Networks (DNNs) are intensively used to solve a wide variety of complex problems. Although powerful, such systems re- quire manual configuration and tuning. To this end, we view DNNs as configurable systems and propose an end-to-end framework that allows the configuration, evaluation and automated search for DNN architectures. Our FM…
A benchmark software that automatically measure performance of XGBoost given the selected configurations.
a dynamic analysis tool to find interactions among configuration options in highly-configurable software.
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