# Project Status

## Current Status: ✅ Production Ready

Torchium is now a fully open-source, production-ready PyTorch extension library with comprehensive documentation, testing, and CI/CD infrastructure.

## What's Included

### ✅ Core Library
- [x] 65+ advanced optimizers
- [x] 70+ specialized loss functions
- [x] Comprehensive API coverage
- [x] Full PyTorch compatibility
- [x] Type hints throughout
- [x] Memory-efficient implementations

### ✅ Documentation
- [x] Complete README with examples
- [x] API documentation structure
- [x] Contributing guidelines
- [x] Code of conduct
- [x] Security policy
- [x] Changelog

### ✅ Testing & Quality
- [x] Unit tests for core functionality
- [x] Integration tests
- [x] Code coverage reporting
- [x] Linting and formatting
- [x] Type checking
- [x] Pre-commit hooks

### ✅ CI/CD & Infrastructure
- [x] GitHub Actions workflows
- [x] Automated testing on multiple Python versions
- [x] Automated PyPI releases
- [x] Code coverage reporting
- [x] Dependabot for dependency updates

### ✅ Open Source Best Practices
- [x] MIT License
- [x] GitHub issue templates
- [x] Pull request template
- [x] Contributing guidelines
- [x] Code of conduct
- [x] Security policy
- [x] Funding configuration
- [x] Proper .gitignore
- [x] Pre-commit configuration

### ✅ Package Distribution
- [x] PyPI package published
- [x] Proper package metadata
- [x] Wheel and source distributions
- [x] Package validation

## Repository Structure

```
torchium/
├── .github/                    # GitHub-specific files
│   ├── ISSUE_TEMPLATE/        # Issue templates
│   ├── workflows/             # GitHub Actions
│   ├── FUNDING.yml           # Funding configuration
│   └── dependabot.yml        # Dependency updates
├── torchium/                  # Main package
│   ├── optimizers/           # Optimizer implementations
│   ├── losses/               # Loss function implementations
│   ├── utils/                # Utility functions
│   ├── benchmarks/           # Performance benchmarks
│   └── tests/                # Test suite
├── assets/                    # Images and assets
├── recipies/                  # Usage examples
├── docs/                      # Documentation
├── .gitignore                 # Git ignore rules
├── .pre-commit-config.yaml    # Pre-commit hooks
├── CHANGELOG.md              # Version history
├── CODE_OF_CONDUCT.md        # Community guidelines
├── CONTRIBUTING.md           # Contribution guide
├── LICENSE                   # MIT License
├── MANIFEST.in               # Package data
├── PROJECT_STATUS.md         # This file
├── README.md                 # Main documentation
├── SECURITY.md               # Security policy
├── pyproject.toml            # Modern Python packaging
├── requirements.txt          # Dependencies
└── setup.py                  # Legacy setup script
```

## Next Steps

### Immediate (Next Release)
- [ ] Add more comprehensive tests
- [ ] Expand documentation with more examples
- [ ] Add performance benchmarks
- [ ] Create tutorial notebooks

### Short Term (Next 3 months)
- [ ] Add more optimizers from recent papers
- [ ] Implement more loss functions
- [ ] Add GPU-specific optimizations
- [ ] Create interactive documentation

### Long Term (Next 6 months)
- [ ] Add distributed training support
- [ ] Implement model compression utilities
- [ ] Add visualization tools
- [ ] Create domain-specific extensions

## Community

- **Issues**: [GitHub Issues](https://github.com/vishesh9131/torchium/issues)
- **Discussions**: [GitHub Discussions](https://github.com/vishesh9131/torchium/discussions)
- **PyPI**: [torchium package](https://pypi.org/project/torchium/)
- **Documentation**: [Read the Docs](https://torchium.readthedocs.io)

## Contributing

We welcome contributions! Please see [CONTRIBUTING.md](CONTRIBUTING.md) for details on how to contribute.

## License

This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.

---

**Last Updated**: September 15, 2024  
**Version**: 0.1.0  
**Status**: Production Ready ✅
