An enterprise-ready and vendor-agnostic federated learning platform.
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.
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.
Notes and resources from Qualcomm On-device AI course, provided by DeepLearningAI
A system for monitoring statistical data distribution shifts in distributed settings
AI-powered safety assistant for kids — Smart Guardian detects hazards and alerts caregivers in real time.
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.
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