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OptimizedMLPFloat32
PublicDeploys a simple MLP to ESP32-S3 chip to do arrhythmia classification using Chapman ECG datasetESP32TFMicro
PublicAbstracts away all the low-level complexity of TensorFlow Lite Micro and makes it really easy to deploy TFLM models on supported ESP32 boards. By default, this …tflm_esp32
PublicMy fork of eloquentarduino/tflm_esp32- Deploys a vanilla Decision Tree for Arrhythmia classification using Chapman ECG dataset on Arduino UNO board
- Deploys an optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on Arduino UNO board
- Deploys an optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit
- Deploys a vanilla non-optimized Decision Tree for Arrhythmia classification using Chapman ECG dataset on ESP32-S3 dev kit
- This repository contains ML codebase developed during CSE713 group project
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