Symbolic Network Topology

A research project exploring symbolic network pruning and reinforcement learning from symbolic feedback (RLSF).

Overview

This project implements symbolic network topology techniques to create more interpretable and efficient neural networks through targeted pruning and fine-tuning with symbolic feedback.

Getting Started

Prerequisites

• Python 3.8+
• Poetry

Setup

# Clone the repository
git clone <repository-url>
cd symbolic-network-topology

# Setup development environment
./setup-dev.sh

Project Structure

• src/ - Core implementation
• tests/ - Test suite
• scripts/ - Utility scripts
• conf/ - Configuration files (Hydra)

License

This project is licensed under the MIT License - see the LICENSE file for details.