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TensorFlores: An enhanced Python-based TinyML framework

Published in Elsevier • Sep 1, 2025
NobleIDNI8P38W16R93S46
Authors:
Thommas K.S. Flores
,
Daniel G. Costa
,
Ivanovitch Silva

Abstract

The TensorFlores framework is a Python-based tool designed to optimize machine learning deployment in resource-constrained environments. It introduces evolving clustering-based quantization, supporting both quantization-aware training and post-training quantization while maintaining model accuracy. ...

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