{"id":24499587,"url":"https://github.com/arrhythmia-detection/optimizedmlpfloat32","last_synced_at":"2026-05-19T11:06:44.858Z","repository":{"id":272041933,"uuid":"914442851","full_name":"arrhythmia-detection/OptimizedMLPFloat32","owner":"arrhythmia-detection","description":"Deploys a simple MLP to ESP32-S3 chip to do arrhythmia classification using Chapman ECG 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align=\"center\"\u003e\n    TF MLP Float 32 Model Deployment on ESP32-S3\n\u003c/h1\u003e\n\n\u003ch4 align=\"center\"\u003e\n    \u003ca href=\"https://scikit-learn.org/stable/\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/scikit--learn 1.5.1-%23F7931E.svg?style=for-the-badge\u0026logo=scikit-learn\u0026logoColor=white\"  alt=\"whatever\"/\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://www.tensorflow.org/\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/TensorFlow 2.17-FF6F00?style=for-the-badge\u0026logo=tensorflow\u0026logoColor=white\"  alt=\"whatever\"\u003e\n    \u003c/a\u003e\n    \u003ca href=\"https://keras.io/\"\u003e\n        \u003cimg src=\"https://img.shields.io/badge/Keras 3.4.1-FF0000?style=for-the-badge\u0026logo=keras\u0026logoColor=white\"  alt=\"whatever\"\u003e\n    \u003c/a\u003e\n    \u003ch5 align=\"center\"\u003e\n            \u003ca href=\"https://en.cppreference.com/w/cpp/17\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/c++ 17-%2300599C.svg?style=for-the-badge\u0026logo=c%2B%2B\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n    \u003c/h5\u003e\n\u003c/h4\u003e\n\n\u003ch4 align=\"center\"\u003e\n    \u003cdiv align=\"center\"\u003e\n        \u003chr width=\"250px\"/\u003e\n    \u003c/div\u003e\n        \u003ch4 align=\"center\"\u003eTools\u003c/h4\u003e\n        \u003ch4 align=\"center\"\u003e\n            \u003ca href=\"https://www.jetbrains.com/clion/\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/CLion 2024-000000?style=for-the-badge\u0026logo=clion\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://github.com/espressif/arduino-esp32/releases/tag/3.0.7\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/Arduino Core 3.0.7-00979D?style=for-the-badge\u0026logo=Arduino\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://docs.espressif.com/projects/esp-idf/en/stable/esp32s3/hw-reference/esp32s3/user-guide-devkitc-1.html\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/espressif32 s3 dev kit-E7352C.svg?style=for-the-badge\u0026logo=espressif\u0026logoColor=white\"  alt=\"whatever\"/\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://www.tensorflow.org/lite\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/TFLITE-FF6F00?style=for-the-badge\u0026logo=tensorflow\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003ca href=\"https://github.com/tensorflow/tflite-micro\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/TFLITE micro-FF6F00?style=for-the-badge\u0026logo=tensorflow\u0026logoColor=white\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n        \u003c/h4\u003e\n        \u003cdiv align=\"center\"\u003e\n            \u003ca href=\"https://platformio.org/\"\u003e\n                 \u003cimg src=\"https://img.shields.io/badge/PlatformIO-6.1.16-orange.svg\"  alt=\"whatever\"\u003e\n            \u003c/a\u003e\n            \u003chr width=\"250px\"/\u003e   \n        \u003c/div\u003e\n\u003c/h4\u003e\n\nThis is a standard [platformio](https://platformio.org/) project for `esp32-s3-devkitc-1`\nboard which deploys a vanilla [MLP](include/optimized_mlp_float32.h) (*non quantized and utilizes author extracted features*) to ESP32-S3 chip\nand collects necessary performance metrics (see [Collected Metrics](CollectedMetrics.md)).\nFor model training etc., please refer to\n[this repository](https://github.com/arrhythmia-detection/ArrhythmiaDetectionModels).\n\n\u0026#160;\n\n\u003cdiv align=\"center\"\u003eCopyright \u0026copy; 2025-present \n     \u003ca href=\"https://github.com/Inmoresentum\" target=\"_blank\"\u003eInmoresentum\u003c/a\u003e and Contributors\n\u003c/div\u003e\n\n\u003ch6 align=\"center\"\u003e\n   \u003ca href=\"https://creativecommons.org/licenses/by-nc-nd/4.0/deed.en\"\u003e\n      \u003cimg src=\"https://img.shields.io/static/v1.svg?style=for-the-badge\u0026label=License\u0026message=CC-BY-NC-ND-4.0\u0026colorA=FFA500\u0026colorB=FF69B4\"\n         alt=\"whatever\" style=\"border-radius: 5px\"/\u003e\n   \u003c/a\u003e\n\u003c/h6\u003e\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farrhythmia-detection%2Foptimizedmlpfloat32","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Farrhythmia-detection%2Foptimizedmlpfloat32","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Farrhythmia-detection%2Foptimizedmlpfloat32/lists"}