PyTorch Project Template: Multi-GPU Support with Hydra and WandB

This PyTorch project template by ryul99 provides a modular framework for deep learning with built-in support for multi-GPU training as of August 2023. It utilizes Hydra and OmegaConf for configuration management and Weights & Biases for experiment tracking.

Use Cases

• Defining hierarchical experiment parameters using Hydra YAML configurations
• Logging training loss and validation metrics through the integrated WandB interface
• Executing automated code quality checks via the provided GitHub Actions and linting scripts

Strengths

• Native support for multi-GPU distributed training
• Pre-configured CI/CD pipelines using GitHub Actions
• Apache-2.0 licensed for permissive redistribution

Limitations

• Contains no actual data records or datasets
• Requires external account setup for Weights & Biases logging
• Potential dependency version conflicts due to lack of updates since 2023

Provenance

Source

GitHub repository by ryul99

Freshness

Last updated August 16, 2023.