markdtw/awesome-architecture-search
A curated list of awesome architecture search resources
This is a curated collection of resources for machine learning practitioners interested in automatically designing neural network architectures and optimizing their settings. It gathers research papers and code implementations, helping you stay current with advancements in efficiently building high-performing deep learning models. Data scientists, machine learning engineers, and AI researchers can use this list to explore new techniques for model development.
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Use this if you are a machine learning professional looking for research and code to automate the design or tuning of deep learning models.
Not ideal if you are looking for a ready-to-use software tool or a step-by-step tutorial for implementing architecture or hyper-parameter search.
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Sep 15, 2020
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