Library/lightweight-neural-architecture-search
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alibaba/lightweight-neural-architecture-search

lightweight-neural-architecture-search

This is a collection of our zero-cost NAS and efficient vision applications.

Builder

alibaba

alibaba

alibaba • individual

Stars

451

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Forks

56

Using upstream fork count

Open Issues

0

Activity Score

0/100

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Created

Apr 1, 2022

Project creation date

README Summary

This repository contains Alibaba's collection of zero-cost Neural Architecture Search (NAS) methods and efficient vision applications. It focuses on lightweight approaches to automatically design neural network architectures without expensive training processes. The project aims to make NAS more accessible and practical for real-world deployment scenarios.

AI Dev Skills

Unmapped

Neural Architecture SearchComputer VisionModel OptimizationDeep Learning Architecture DesignEfficient Neural NetworksZero-Shot Model EvaluationVision Transformer ArchitectureConvolutional Neural Networks

Tags

Neural Architecture SearchComputer VisionModel OptimizationDeep Learning Architecture DesignEfficient Neural NetworksZero-Shot Model EvaluationVision Transformer ArchitectureConvolutional Neural NetworksSelf-hostedAutomated Neural Architecture DiscoveryArchitecture Optimization for Resource-Constrained DevicesAutoMLImageOn-device AIEdge/MobileEfficient Model Design for Vision TasksEfficient AIComputer Vision Model SelectionPython

Taxonomy

Recent Activity

Updated 2 years ago

7 Days

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30 Days

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90 Days

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Quality

research
Quality
medium
Maturity
research

Categories

Computer VisionPrimaryEvals & BenchmarkingInference & ServingEdge & Mobile AISearch & KnowledgeOther AI / MLFoundation Models

PM Skills

Scale & Reliability

Languages

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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