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tensorflow/lite | ||
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README.md |
- TensorFlow Lite for Microcontrollers
- Build Status
- Contributing
- Getting Help
- Additional Documentation
- RFCs
TensorFlow Lite for Microcontrollers
TensorFlow Lite for Microcontrollers is a port of TensorFlow Lite designed to run machine learning models on DSPs, microcontrollers and other devices with limited memory.
Additional Links:
Build Status
Official Builds
Build Type | Status |
---|---|
CI (Linux) | |
Code Sync |
Community Supported Builds
Build Type | Status |
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Arduino | |
Cortex-M | |
Sparkfun Edge | |
Xtensa |
Contributing
See our contribution documentation.
Getting Help
A Github issue should be the primary method of getting in touch with the TensorFlow Lite Micro (TFLM) team.
The following resources may also be useful:
-
SIG Micro email group and monthly meetings.
-
SIG Micro gitter chat room.
Additional Documentation
- Continuous Integration
- Benchmarks
- Profiling
- Memory Management
- Optimized Kernel Implementations
- New Platform Support
- Software Emulation with Renode