seungyeopkang/eem-nas

EEM-NAS is a research implementation for budgeted, fixed-proxy zero-shot neural architecture search over NAS-Bench-201. A researcher runs either the proposed memetic search or a comparison baseline; search candidates are scored under a fitness-function-call budget, and the returned architecture can optionally be checked against trained test accuracy. The online scoring path builds a network and computes a zero-cost proxy on cached data; precomputed scores are an alternative. The graph reflects documented capabilities, while some links for unsampled modules are supported by the README rather than inspected source.