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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
Categories
Federated Learning FrameworksLicense
GNU General Public License version 3.0 (GPLv3)Follow NErlNet
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