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.
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
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.
Lightweight Attention U-Net for Breast Cancer Semantic Segmentation
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