Rune provides containers to encapsulate and deploy edgeML pipelines and applications
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Updated
Jul 5, 2022 - Rust
Rune provides containers to encapsulate and deploy edgeML pipelines and applications
TinyNS: Platform-Aware Neurosymbolic Auto Tiny Machine Learning
Raspberry Pi Pico (RP2040) playground
Keyword spotting on ESP32-S3-EYE
A production-grade, real-time keyword spotting system optimized for microcontrollers (ESP32, Arduino) using TensorFlow Lite Micro.
AI-based pneumonia classifier using Edge Impulse which can run on cheap devices consuming less than 1 mW.
Small footprint, standalone, zero dependency, offline keyword spotting (KWS) CLI tool.
1D-CNN for on-device ECG arrhythmia classification. Classifies Normal Sinus Rhythm, A-Fib, and 1st Degree AV Block with 96% accuracy. Quantized to 23KB .tflite for Cortex-M4 edge deployment. Built with TensorFlow Lite, Keras, Python.
A complete pipeline involving image processing techniques and machine learning models for distinguishing civilian and military vehicles across multiple types, supporting both binary and multilabel classification, and optimized for real-time edge deployment using ONNX and TensorRT.
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