[r/ML] Built a Hybrid NAS tool for RNN architectures (HyNAS-R) – Looking for feedback for my final year evaluation [R]

Summary

A student has developed HyNAS-R, a Hybrid Neural Architecture Search (NAS) tool for automatically finding optimal RNN architectures for NLP tasks. It combines a zero-cost proxy with metaheuristic optimization, specifically an Improved Grey Wolf Optimizer, to achieve this. The developer is currently seeking feedback for their final year project evaluation.

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