Contributing to Dynamic Neural Network Refinement

Development Process

Fork the repository
Create a feature branch
Write tests for new functionality
Implement your changes
Run tests and benchmarks
Submit a pull request

Code Standards

Follow PEP 8 guidelines
Use type hints
Maintain test coverage above 90%
Document all public APIs

Testing

# Run unit tests
pytest tests/

# Run benchmarks
python benchmarks/run_all.py

Contribution Areas

Core refinement algorithms
Distributed training improvements
Documentation and tutorials
Benchmarking suites
Security enhancements

Review Process

Two approving reviews required
All tests must pass
Documentation updated
Benchmarks show no regression