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AI-in-Transportation-Lab/awesome-tinyml

awesome-tinyml

A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on TinyML — the intersection of machine learning and ultra-low-power embedded systems.

View on GitHub↗Upstream AI-in-Transportation-Lab/awesome-tinyml↗

Builder

gauravfs-14

gauravfs-14

gauravfs-14 • individual

Stars

116

Using upstream star count

Forks

13

Using upstream fork count

Open Issues

0

Activity Score

0/100

0 commits in 30d

Created

Jun 11, 2025

Project creation date

README Summary

A carefully curated collection of high-quality libraries, projects, tutorials, research papers, and other essential resources focused on TinyML — the intersection of machine learning and ultra-low-power embedded systems. This repository is crafted to serve as a comprehensive, well-organized knowledge base for researchers, engineers, and developers working on deploying intelligent models on edge devices with limited compute, memory, and power.

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AI Dev Skills

Unmapped

Edge AI OptimizationEmbedded Systems DevelopmentHardware-Software Co-designKnowledge DistillationLow-Power AI SystemsMicrocontroller ProgrammingModel PruningModel QuantizationNeural Network CompressionTinyML/Embedded ML

Tags

Edge AI OptimizationEmbedded Systems DevelopmentHardware-Software Co-designKnowledge DistillationLow-Power AI SystemsMicrocontroller ProgrammingModel PruningModel QuantizationNeural Network CompressionTinyML/Embedded MLAdversarialAutomationBenchmarkingComputer VisionCourseCurated ListDeep LearningDistillationEvalsForkedInferenceMLOpsMachine LearningMobileModel OptimizationMultimodal AIONNXQuantizationReal-Time / StreamingReinforcement LearningResearch / PapersSecurityTensorFlowTransformersTutorial

Taxonomy

AI Trends

On-device AIEdge AIModel CompressionEfficient AIGreen AIFederated Learning

category

Learning ResourcesFoundation ModelsModel TrainingEvals & BenchmarkingInference & ServingComputer VisionMLOps & InfrastructureDev Tools & AutomationSecurity & Safety

Deployment Context

Edge/MobileMicrocontrollersIoT DevicesBattery-Powered Devices

Industries

IoTAutomotiveHealthcareIndustrial AutomationConsumer ElectronicsRoboticsSmart AgricultureWearable Technology

Modalities

AudioImageTabularSensor DataTime Series

Skill Areas

TinyML/Embedded MLModel QuantizationNeural Network CompressionEdge AI OptimizationMicrocontroller ProgrammingLow-Power AI SystemsHardware-Software Co-designModel PruningKnowledge DistillationEmbedded Systems Development

tag

AdversarialAutomationBenchmarkingComputer VisionCourseCurated ListDeep LearningDistillationEvalsForkedInferenceMLOpsMachine LearningMobileModel OptimizationMultimodal AIONNXQuantizationReal-Time / StreamingReinforcement LearningResearch / PapersSecurityTensorFlowTransformersTutorial

Use Cases

Sensor Data ClassificationPredictive Maintenance on Edge DevicesVoice Command Recognition on MicrocontrollersGesture Recognition in WearablesAnomaly Detection in IoT SensorsReal-time Image Classification on Embedded CamerasEnvironmental Monitoring with Smart SensorsBattery-Powered AI Applications

Recent Activity

Updated 2 months ago

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19

🤖 Auto Update for 2026-03-23

github-actions[bot] • Mar 23, 2026

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🤖 Auto Update for 2026-03-22

github-actions[bot] • Mar 22, 2026

8bfbd8a

🤖 Auto Update for 2026-03-21

github-actions[bot] • Mar 21, 2026

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Quality

production
Quality
medium
Maturity
production

Categories

Learning ResourcesPrimaryEvals & BenchmarkingInference & ServingMLOps & InfrastructureDev Tools & AutomationSecurity & SafetyFoundation ModelsModel TrainingComputer VisionML Platform & InfrastructureSafety & AlignmentMultimodal AIEdge & Mobile AISearch & KnowledgeOther AI / ML

PM Skills

Cost & EfficiencyUser ExperienceScale & ReliabilityData & EvaluationDeveloper Platform

Languages

JavaScript100.0%

Timeline

Project created
Jun 11, 2025
Forked
Mar 23, 2026
Your last push
2 months ago
Upstream last push
16 days ago
Tracked since
Mar 23, 2026

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