Pytorch Template

To provide a clear, organized PyTorch project structure for developing and running GAN experiments, including model definitions, data loading, training logic, metrics, and experiment result management.

Experiment outputs are stored per run and the template records the git commit hash with results; configuration can be provided via JSON files or command-line arguments to reproduce runs.

Yes. The project integrates TensorBoard and can automatically start it to visualize training metrics and sampled outputs.

No. The template focuses on training and experimentation workflows; deployment or serving is outside its scope, though the README references a separate deployment template for that purpose.