NErlNet is a research-grade framework for distributed machine learning over IoT and edge devices. Built with Erlang (Cowboy HTTP), OpenNN, and Python (Flask), it enables simulation of clusters on a single machine or real deployment across heterogeneous devices.

Features

  • Simulates distributed ML clusters locally or across devices
  • Supports deployment to actual IoT devices with minimal changes
  • Provides real-time insights into edge device performance
  • Communication via Cowboy-based HTTP layer
  • ML backend powered by OpenNN C++
  • Managed through Python Flask API and Jupyter notebooks

Project Samples

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License

GNU General Public License version 3.0 (GPLv3)

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Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Federated Learning Frameworks

Registered

2025-07-15