hydra

Enables combining configs from multiple sources and overriding them via command-line, making experiments flexible and reproducible, as highlighted in the key features for ML research.

Allows modifying any parameter from the CLI without code changes, streamlining experimentation and reducing manual config edits, as emphasized in the value proposition.

Supports running parallel experiments with different configs for hyperparameter tuning, ideal for ML projects needing efficient parameter testing, as noted in the key features.

Organizes configs into reusable, hierarchical structures to reduce duplication, improving maintainability in complex applications like those in the Hydra ecosystem.