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microsoft/nni

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

View on GitHub↗Upstream microsoft/nni↗

Builder

Microsoft

Microsoft

microsoft • big-tech

Stars

14,354

Using upstream star count

Forks

1,860

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jun 1, 2018

Project creation date

README Summary

<div align="center"> <img src="docs/img/nni_logo.png" width="600"/> </div>

Community Evaluation

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AI Dev Skills

Unmapped

Automated Machine Learning (AutoML)Bayesian OptimizationDistributed TrainingEvolutionary AlgorithmsFeature Engineering AutomationHyperparameter OptimizationKnowledge DistillationModel Compression and PruningModel QuantizationMulti-objective OptimizationNeural Architecture Search (NAS)

Tags

Automated Machine Learning (AutoML)Bayesian OptimizationDistributed TrainingEvolutionary AlgorithmsFeature Engineering AutomationHyperparameter OptimizationKnowledge DistillationModel Compression and PruningModel QuantizationMulti-objective OptimizationNeural Architecture Search (NAS)APIDeep LearningForkedKubeflowKubernetesMachine LearningOpen SourcePyTorchPythonQuantizationResearch / PapersScikit-learnTensorFlow

Taxonomy

AI Trends

Automated Machine LearningNeural Architecture SearchModel Efficiency and CompressionMLOps and Experiment Management

category

Model TrainingFoundation ModelsMLOps & InfrastructureDev Tools & AutomationLearning Resources

Deployment Context

CloudSelf-hostedOn-premiseDistributed Computing

Modalities

TabularImageTextTime Series

Skill Areas

Automated Machine Learning (AutoML)Hyperparameter OptimizationNeural Architecture Search (NAS)Model Compression and PruningFeature Engineering AutomationBayesian OptimizationEvolutionary AlgorithmsMulti-objective OptimizationDistributed TrainingModel QuantizationKnowledge Distillation

tag

APIDeep LearningForkedKubeflowKubernetesMachine LearningOpen SourcePyTorchPythonQuantizationResearch / PapersScikit-learnTensorFlow

Use Cases

Hyperparameter tuning for deep learning modelsAutomated neural architecture searchModel compression for edge deploymentFeature selection and engineering automationMulti-objective model optimizationDistributed hyperparameter searchModel performance benchmarking

Recent Activity

Updated 1 years ago

7 Days

0

30 Days

0

90 Days

0

Quality

production
Quality
high
Maturity
production

Categories

MLOps & InfrastructurePrimaryDev Tools & AutomationLearning ResourcesFoundation ModelsModel TrainingML Platform & InfrastructureData Science & AnalyticsSearch & KnowledgeOther AI / ML

PM Skills

Cost & EfficiencyScale & ReliabilityDeveloper Platform

Languages

Python100.0%

Timeline

Project created
Jun 1, 2018
Forked
Mar 13, 2026
Your last push
1 years ago
Upstream last push
1 years ago
Tracked since
Jul 3, 2024

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