{"id":21009183,"url":"https://github.com/tinycompositehar/esp32tflitecompositeharmodeldeployment","last_synced_at":"2026-04-27T19:05:16.635Z","repository":{"id":258788534,"uuid":"863838053","full_name":"TinyCompositeHAR/ESP32TFLiteCompositeHARModelDeployment","owner":"TinyCompositeHAR","description":"Deploy a simple MLP model onto ESP32-S3 board and collects 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   \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-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/3.0.5\"\u003e\n                \u003cimg src=\"https://img.shields.io/badge/Arduino Core 3.0.5-00979D?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 simple [MLP](include/SimpleMLP.h) to ESP32-S3 Dev Kit.\nFor model training etc., please refer to\n[this repository](https://github.com/TinyCompositeHAR/LowComputeCompositeADLModels).\n\n### Acknowledgment\n\nTo speed the development time, compilation, and deployment, I have used the\n[EloquentTinyML](https://github.com/eloquentarduino/EloquentTinyML/tree/5d3636f8ab5eddb23691c79e2dd14dd5858f8be3) library as\nproject dependency developed and\nmaintained by [eloquent arduino](https://github.com/eloquentarduino) which makes it\ncriminally easy to deploy TensorFlow Lite Micro models on ESP32 boards.\n\n\u0026#160;\n\n\u003cdiv align=\"center\"\u003eCopyright \u0026copy; 2024-present \n     \u003ca href=\"https://github.com/Inmoresentum\" target=\"_blank\"\u003eInmoresentum\u003c/a\u003e\n\u003c/div\u003e\n\n\u003ch6 align=\"center\"\u003e\n   \u003ca href=\"LICENSE.md\"\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","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftinycompositehar%2Fesp32tflitecompositeharmodeldeployment","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftinycompositehar%2Fesp32tflitecompositeharmodeldeployment","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftinycompositehar%2Fesp32tflitecompositeharmodeldeployment/lists"}