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.
Notes and resources from Qualcomm On-device AI course, provided by DeepLearningAI
Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.
embedded software components for event-based application development
Edge-first XRF V2 benchmark for deployable wearable event detection (earbuds + smart-glasses), with FP/hour-calibrated metrics and reproducible run artifacts.
A system for monitoring statistical data distribution shifts in distributed settings
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 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.
Lightweight Attention U-Net for Breast Cancer Semantic Segmentation
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.
AI-powered safety assistant for kids — Smart Guardian detects hazards and alerts caregivers in real time.
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