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

Project Activity

See All Activity >

License

GNU General Public License version 3.0 (GPLv3)

Follow NErlNet

NErlNet Web Site

Other Useful Business Software
Host LLMs in Production With On-Demand GPUs Icon
Host LLMs in Production With On-Demand GPUs

NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
Start Free
Rate This Project
Login To Rate This Project

User Reviews

Be the first to post a review of NErlNet!

Additional Project Details

Operating Systems

Linux, Mac, Windows

Programming Language

Python

Related Categories

Python Federated Learning Frameworks

Registered

2025-07-15