Speech Recognition using STM32 and Machine Learning
🔥 High-performance TensorFlow Lite library for React Native with GPU acceleration
Northern Mechatronics Software Development Kit V2
No PR will be accepted for now, but feel free to submit issue, very appreciated.
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.
A Python package with command-line utilities and scripts to aid the development of machine learning models for Silicon Lab's embedded platforms
"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.
Project submitted for iNTUitive 2023. Ultilizes deep learning with Arduino. Won 1st runner up.
Face detection with MTCNN, TensorFlow Lite Micro and ESP32-S3
Different DSP and ML applications, mostly in C and a minimalistic dataflow framework based on libdill
TensorFlow Lite bindings for Node.js
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.
GPU accelerated deep learning inference applications for RaspberryPi / JetsonNano / Linux PC using TensorflowLite GPUDelegate / TensorRT
AI Pulse Reconstruction on embedded STM32
Prototype of Street Fighter game to play with hand movements using the Arduino Nano 33 BLE Sense and TensorFlow Lite
Edge Computing using Tensorflow Lite
Inference library for nyumaya_audio_recognition
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