Nas Benchmark"NAS evaluation is frustratingly hard", ICLR2020
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Awesome Nas PapersAwesome Neural Architecture Search Papers
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Awesome Automl And Lightweight ModelsA list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
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NniAn open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
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Mutual labels: nas, automl, neural-architecture-search
Awesome AutodlA curated list of automated deep learning (including neural architecture search and hyper-parameter optimization) resources.
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Mutual labels: nas, automl, neural-architecture-search
Autodl ProjectsAutomated deep learning algorithms implemented in PyTorch.
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Mutual labels: nas, automl, neural-architecture-search
nas-encodingsEncodings for neural architecture search
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BossNAS(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search
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HypernetsA General Automated Machine Learning framework to simplify the development of End-to-end AutoML toolkits in specific domains.
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Mutual labels: nas, automl, neural-architecture-search
AutodlAutomated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]
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Once For All[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
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Shape AdaptorThe implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].
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Mutual labels: nas, automl
PaddleslimPaddleSlim is an open-source library for deep model compression and architecture search.
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FairdartsFair DARTS: Eliminating Unfair Advantages in Differentiable Architecture Search
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DnaBlock-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)
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Awesome Computer VisionAwesome Resources for Advanced Computer Vision Topics
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Awesome System For Machine LearningA curated list of research in machine learning system. I also summarize some papers if I think they are really interesting.
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AutoSpeech[InterSpeech 2020] "AutoSpeech: Neural Architecture Search for Speaker Recognition" by Shaojin Ding*, Tianlong Chen*, Xinyu Gong, Weiwei Zha, Zhangyang Wang
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AutodeeplabAutoDeeplab / auto-deeplab / AutoML for semantic segmentation, implemented in Pytorch
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Mutual labels: nas, automl
Nas Bench 201NAS-Bench-201 API and Instruction
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