FLAML

A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.

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Microsoft

microsoft • big-tech

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4,314

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555

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0/100

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Created

Aug 20, 2020

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README Summary

FLAML is Microsoft's fast and lightweight AutoML library that provides efficient hyperparameter tuning and automated machine learning capabilities. It offers state-of-the-art algorithms for model selection and hyperparameter optimization with minimal computational cost. The library supports various machine learning tasks and integrates with popular frameworks while maintaining high performance and ease of use.

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Tags

Automated Machine Learning (AutoML)Hyperparameter OptimizationModel Selection and Ensemble MethodsFeature Engineering AutomationMulti-objective OptimizationGradient Boosting ModelsNeural Architecture SearchTime Series ForecastingClassification and RegressionCost-aware Machine LearningSelf-hostedRegression AnalysisTextAutomated Machine LearningAutomated Model SelectionCost-efficient ML Pipeline DevelopmentJupyter NotebooksModel Performance OptimizationOn-premiseHyperparameter TuningTabularTime SeriesEfficient AIFeature Selection OptimizationClassification TasksCloud APILow-code ML SolutionsJupyter Notebook

Recent Activity

Updated 23 days ago

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Quality

production

Quality: high
Maturity: production

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Scale & ReliabilityDeveloper Platform

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Jupyter Notebook100.0%

Timeline

Project created: Aug 20, 2020
Forked: Mar 22, 2026
Your last push: 23 days ago
Upstream last push: 6 days ago
Tracked since: Mar 21, 2026

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