chenyaofo/awesome-architecture-search
An up-to-date list of progress made in neural architecture search
This resource helps machine learning engineers and researchers stay updated on the latest advancements in Neural Architecture Search (NAS). It provides an organized list of research papers, datasets, and codebases related to automatically designing neural networks. The repository is useful for those who need to find efficient and high-performing deep learning models without extensive manual design.
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Use this if you are a machine learning engineer or researcher looking for the latest papers, code, or datasets on Neural Architecture Search to find optimal neural network models efficiently.
Not ideal if you are looking for ready-to-use, pre-built neural network architectures or a tutorial on how to implement NAS from scratch.
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May 25, 2022
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