Edge Devices Python Packages

edgeml-pytorch

PyTorch code for ML algorithms for edge devices developed at Microsoft Research India.

deepc

vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers

federa

FedERA is a modular and fully customizable open-source FL framework, aiming to address these issues by offering comprehensive support for heterogeneous edge devices and incorporating both standalone and distributed computing. It includes new software modules to enhance usability and promote environ- mental sustainability.

edge-mlops-monitor

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.

berrynet

Deep learning gateway on Raspberry Pi and other edge devices

edgeml

machine learning algorithms for edge devices developed at Microsoft Research India.

pyflox

Python library for serverless Federated Learning experiments.