* **Clean, straightforward PyTorch implementations of GAN, RNN, and Transformer models.** Good use of standard libraries. * **Effective use of PyTorch's `nn.Module` for model definition; consistent naming.** Room for improved documentation and testing. * **File structure is logical, separating models, utils, and examples.** However, more robust error handling and input validation are needed. * **Add comprehensive unit tests and improve docstrings for better maintainability.** Consider type hints and linting for enhanced readability. * **Security score is critically low; address identified vulnerabilities immediately.** Regular security audits are necessary. * **Modern language features (e.g., f-strings) are used appropriately.** Consider using more advanced PyTorch features for optimization.
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