4.1 KiB
4.1 KiB
- 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 |
|---|---|
| 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