alibaba/lightweight-neural-architecture-search
lightweight-neural-architecture-search
This is a collection of our zero-cost NAS and efficient vision applications.
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alibaba
alibaba • individual
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Apr 1, 2022
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README Summary
TinyNAS - This repository is a collection of training-free neural architecture search methods developed by TinyML team, Data Analytics and Intelligence Lab, Alibaba DAMO Academy. Researchers and developers can use this toolbox to design their neural architectures with different budgets on CPU devices within 30 minutes. - Training-Free Neural Architecture Evaluation Scores by Entropy [**DeepMAD**](https://arxiv.org/abs/2303.02
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Computer VisionConvolutional Neural NetworksDeep Learning Architecture DesignEfficient Neural NetworksModel OptimizationNeural Architecture SearchVision Transformer ArchitectureZero-Shot Model Evaluation
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Computer VisionConvolutional Neural NetworksDeep Learning Architecture DesignEfficient Neural NetworksModel OptimizationNeural Architecture SearchVision Transformer ArchitectureZero-Shot Model EvaluationCurated ListDeep LearningEvalsForkedMachine LearningMusic TechOpen SourceQuantizationResearch / PapersTutorial
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Learning ResourcesPrimaryEvals & BenchmarkingIndustry: Audio & MusicFoundation ModelsGenerative MediaComputer VisionSearch & KnowledgeOther AI / ML
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Python100.0%
Timeline
- Project created
- Apr 1, 2022
- Forked
- Mar 23, 2026
- Your last push
- 2 years ago
- Upstream last push
- 2 years ago
- Tracked since
- Aug 21, 2023
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