Scaleout Edge: Sovereign Edge AI orchestration and Federated Learning
In this repository, we explore model compression for transformer architectures via quantization. We specifically explore quantization aware training of the linear layers and demonstrate the performance for 8 bits, 4 bits, 2 bits and 1 bit (binary) quantization.
A camera for measuring sediment grain sizes with edge ML
An awesome list of "small but mighty" models and resources.
BEAVER automates the Edge AI lifecycle through LLM-powered orchestration. It Builds, Evolves, Analyzes, Validates, Executes, and Repairs—just like beavers in nature, but for edge devices!
Edge-deployable keyword spotter: INT8-quantized DS-CNN on Google Speech Commands, exported to ONNX, with fp32 vs INT8 benchmarks, a live mic demo, and a C++ inference harness.
Notes and resources from Qualcomm On-device AI course, provided by DeepLearningAI
embedded software components for event-based application development
Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.
A system for monitoring statistical data distribution shifts in distributed settings
Edge-first XRF V2 benchmark for deployable wearable event detection (earbuds + smart-glasses), with FP/hour-calibrated metrics and reproducible run artifacts.
Pre-quantized models for edge inference on Cortex-M, ESP32-S3, and Raspberry Pi. Six models — keyword spotting, person detection, hand-gesture recognition, anomaly detection, voice activity detection, and binary defect classifier — each shipped as TF
Lightweight Attention U-Net for Breast Cancer Semantic Segmentation
Fault-tolerant Edge ML pipeline for space weather (TEC) prediction. Fuses raw ISRO telemetry with NASA APIs for sub-second, on-device inference via quantized TensorFlow Lite.
A Chrome Extension that integrates Machine Learning directly in the browser using TensorFlow.js to classify Gmail emails as important or not important, automatically highlighting important ones with a subtle red tint.
A lightweight, resource-efficient MLOps monitoring solution for machine learning models deployed on edge devices. Features system health tracking, model I/O logging, drift detection, and cloud telemetry.
AI-powered safety assistant for kids — Smart Guardian detects hazards and alerts caregivers in real time.
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