FEDn: An enterprise-ready open source federated learning framework. This repository contains the Python framework, CLI and API.
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
Python ML library for person fall detection. Intended for IoT deployments with on-device inference and on-device transfer learning.
A comprehensive set of notes and resources for a crash course on deploying AI models on edge devices, provided by DeepLearningAI and taught by Krishna Sridhar from Qualcomm.
Lightweight Attention U-Net for Breast Cancer Semantic Segmentation
An awesome list of "small but mighty" models and resources.
A system for monitoring statistical data distribution shifts in distributed settings
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