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Supplementary material for IEEE Services Computing paper 'An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware'

License: MIT License

Jupyter Notebook 53.50% C 0.77% C++ 45.73%
tinyml code-generation decision-tree-classifier random-forest-classifier microcontroller arduino stm32 adafruit-feather esp32 arm-cortex-m0 optimization efficient-inference

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Porting and Execution of ML Classifiers on TinyML Hardware

Please consider citing below paper using the BibTex entry:

@inproceedings{sudharsan2021scc,
  title={An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware},
  author={Sudharsan, Bharath and Yadav, Piyush and Breslin, John G and Ali, Muhammad Intizar},
  booktitle={IEEE International Conference on Services Computing (SCC)},
  year={2021}
  }
  

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