GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT

State-of-the-art (ranked #1 Aug 2022) German Speech Recognition in 284 lines of C++. This is a 100% private 100% offline 100% free CLI tool.

No PR will be accepted for now, but feel free to submit issue, very appreciated.

A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms

Face detection with MTCNN, TensorFlow Lite Micro and ESP32-S3

TensorFlow Lite bindings for Node.js

MRuby binding for TensorFlow Lite

Speech Recognition using STM32 and Machine Learning

Prototype of Street Fighter game to play with hand movements using the Arduino Nano 33 BLE Sense and TensorFlow Lite

Embedded machine learning for gesture recognition using Arduino Nano 33 BLE Sense. Includes source code for programming the board and notebooks for training the model.

Example in C that uses TensorFlow Lite for Microcontrollers to run a simple CNN model for image classification on an embedded system.

Inference library for nyumaya_audio_recognition

Edge Computing using Tensorflow Lite

A quantized TensorFlow Lite–based real-time object detection system on ESP32-CAM, optimized with the EON™ Compiler for low-latency, low-memory, and portable AI-IoT deployment.

My CSE707 TinyML Mini Project that uses esp32 s3 dev kit to detect composite human activites On-Device (ESP32)

Different DSP and ML applications, mostly in C and a minimalistic dataflow framework based on libdill

A smart, low-power irrigation system that predicts rain using a neural network and automates watering based on sensor data. Built with STM32, C, Python, TensorFlow Lite, Developed as an academic prototype for embedded AI and IoT applications.

"IoT Made Easy!" - This application shows how to use TensorFlow Lite to build a basic machine learning application on a PIC32CX-BZ2 / WBZ451 device. The application classifies the orientation of the WBZ451 Curiosity board using a pretrained TensorFlow model, and then sends the classification result to an MBD App.

AI Pulse Reconstruction on embedded STM32

Deploy a simple MLP model onto ESP32-S3 board and collects metrics