PyTorch Project Template
Modular and well-structured template for PyTorch deep learning projects.
Overview
This project template provides a modular and well-structured foundation for PyTorch deep learning projects. It includes a set of common functionalities and best practices to help researchers and developers kickstart their projects efficiently and is designed to be flexible and extensible, allowing users to easily customize it to their specific needs.
Features
- Modular Design: The template is structured in a modular way, separating components such as models, datasets, training loops, and evaluation metrics to promote code reusability and maintainability.
- Configuration Management: The template uses a configuration file to manage hyperparameters and experiment settings, enabling easy experimentation and reproducibility.
- Logging and Visualization: It includes logging functionalities to track training progress, visualize metrics, and save checkpoints during training.
- Documentation: The template comes with detailed documentation and examples to help users understand and extend its functionalities.
Technologies
- Programming Languages: Python
- Libraries: PyTorch