Library/NASLib
Library/NASLibForked

automl/NASLib

NASLib

NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.

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automl

automl

automl • individual

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587

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129

Using upstream fork count

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0/100

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Created

May 8, 2019

Project creation date

README Summary

NASLib is a comprehensive Neural Architecture Search (NAS) library designed to facilitate research in the NAS community. It provides standardized interfaces to multiple state-of-the-art NAS search spaces and optimizers, enabling researchers to easily experiment with different neural architecture search methods. The library aims to accelerate NAS research by offering a unified framework for comparing and developing new NAS algorithms.

AI Dev Skills

Unmapped

Neural Architecture SearchAutoMLHyperparameter OptimizationDeep Learning Architecture DesignEvolutionary AlgorithmsBayesian OptimizationDifferentiable Architecture SearchNetwork Architecture Optimization

Tags

Neural Architecture SearchAutoMLHyperparameter OptimizationDeep Learning Architecture DesignEvolutionary AlgorithmsBayesian OptimizationDifferentiable Architecture SearchNetwork Architecture OptimizationAutomated Model DesignNAS Algorithm ComparisonSelf-hostedTabularImageArchitecture Search BenchmarkingAutomated Neural Network DesignNeural Network Topology OptimizationCloud APIAutoML Pipeline DevelopmentPython

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Recent Activity

Updated 1 years ago

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Quality

research
Quality
medium
Maturity
research

Categories

MLOps & InfrastructurePrimaryEvals & BenchmarkingML Platform & InfrastructureSearch & KnowledgeOther AI / ML

PM Skills

Scale & ReliabilityDeveloper Platform

Languages

Python100.0%

Timeline

Project created
May 8, 2019
Forked
Mar 23, 2026
Your last push
1 years ago
Upstream last push
1 years ago
Tracked since
Nov 11, 2024

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