tensorflow/tflite-micro
tensorflow/tflite-micro has 3,148 GitHub stars and 1,094 forks. GitHot measured +3 stars in 24 hours. Last checked 2026-11-07 18:47 UTC. Last push 2026-11-02.
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
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README.md
OriginalTensorFlow Lite for Microcontrollers (TFLM)
TensorFlow Lite for Microcontrollers is designed to run deep learning models on bare-metal systems, DSPs, and microcontrollers with limited memory (tens to hundreds of kilobytes). It runs models converted via LiteRT and TensorFlow.
Supported Hardware & Ecosystems
- Tier-1 Architectures (Tested in CI): Arm Cortex-M (CMSIS-NN / Corstone), Cadence Xtensa (HiFi 3/4/5, Vision P6), Qualcomm Hexagon, and x86/Windows.
- Community Platforms & SDKs: Arduino, Coral Dev Board Micro, Espressif ESP32, Renesas, Silicon Labs, and Ingenic MIPS.
Documentation
- Core Concepts:
- Porting & Hardware Optimization:
- Tooling, Compression & Python:
Community & Contributing
- Questions & Issues: Please file a GitHub Issue.
- Contributing: Review our Contributing Guide.
- Security: Report vulnerabilities according to our Security Policy.
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