microsoft/ml4f
ML model compiler for Cortex-M4F
This tool helps embedded systems developers deploy machine learning models more efficiently on resource-constrained microcontrollers. It takes a Keras sequential model, often in a TensorFlow.js format, and converts it into highly optimized ARM Thumb machine code. The output is a significantly faster model ready for use on Cortex-M4F (and better) microcontrollers, benefiting developers working on edge AI applications.
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Use this if you are developing embedded systems with Cortex-M microcontrollers and need to run Keras machine learning models with significantly improved performance and reduced latency compared to standard interpreters.
Not ideal if you are working with non-Keras models, different microcontroller architectures, or if your application does not require extreme optimization of model inference speed on embedded devices.
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Language
TypeScript
License
MIT
Category
Last pushed
May 27, 2024
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