Cream

This is a collection of our NAS and Vision Transformer work.
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Project NameStarsDownloadsRepos Using ThisPackages Using ThisMost Recent CommitTotal ReleasesLatest ReleaseOpen IssuesLicenseLanguage
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DAMO-YOLO: a fast and accurate object detection method with some new techs, including NAS backbones, efficient RepGFPN, ZeroHead, AlignedOTA, and distillation enhancement.
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3 months ago16mitPython
This is a collection of our NAS and Vision Transformer work.
Tenas95
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[ICLR 2021] "Neural Architecture Search on ImageNet in Four GPU Hours: A Theoretically Inspired Perspective" by Wuyang Chen, Xinyu Gong, Zhangyang Wang
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3 months ago2apache-2.0Python
Training ImageNet / CIFAR models with sota strategies and fancy techniques such as ViT, KD, Rep, etc.
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Cyclic Differentiable Architecture Search
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Source code of ICLR2020 paper 'Towards Fast Adaptation of Neural Architectures with Meta Learning'
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GBDT-NAS
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5 years ago4Python
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Breaking the Curse of Space Explosion: Towards Efficient NAS with Curriculum Search
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