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Juniper - Cascade Correlation Neural Network Research Platform

Project description

juniper

Meta-package for the Juniper-ML Project, a Research Platform for investigating dynamic neural networks and novel learning algorithms. Prototype implementation uses Cascade Correlation neural networks.

Installation

Install all client libraries and the distributed worker:

pip install juniper[all]

Or install selectively:

pip install juniper[clients]  # All client libraries
pip install juniper[worker]   # Distributed training worker

Packages

Package Description Install
juniper-data-client HTTP client for the JuniperData dataset generation service pip install juniper-data-client
juniper-cascor-client HTTP/WebSocket client for the JuniperCascor neural network training service pip install juniper-cascor-client
juniper-cascor-worker Remote candidate training worker for distributed CasCor training pip install juniper-cascor-worker

Extras

Extra Packages Included
clients juniper-data-client, juniper-cascor-client
worker juniper-cascor-worker
all All of the above

About Juniper

Juniper is an AI/ML research platform implementing the Cascade Correlation Neural Network algorithm (Fahlman & Lebiere, 1990). The platform includes:

  • JuniperCascor - Cascade Correlation neural network training service
  • JuniperData - Dataset generation and management service
  • JuniperCanopy - Real-time monitoring dashboard

License

MIT License - Copyright (c) 2024-2026 Paul Calnon

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