icon-core

Git operations: branching, commit message format, pre-commit hook handling, and push policy

Full workflow: environment setup, running experiments, reusing and implementing new components (models, datasets, plmodules, callbacks), and testing

How to load a checkpoint and run evaluation (inference only, no training)

Reference code folder conventions — storing external code and documentation for AI-assisted development context

Coding style guidelines and common pitfalls for this project

Hydra configuration file structure and conventions for models, datasets, callbacks, and training

Data format conventions for datasets and plmodules

Training logs directory structure for post-processing and analysis