For example, PyTorch Lightning (PTL) models or a specific dataset named "kuku". Hobbies & Collectibles:
: A "full story" across 15 sets would actually encompass dozens, sometimes hundreds, of these micro-episodes. ptl models kuku model set 01 15
kuku_model_set_01/ │ ├── base/ │ └── kuku_base_model.py # Abstract LightningModule ├── variants/ │ ├── kuku_01_01.py # Baseline small model │ ├── kuku_01_02.py # Wider layers │ ├── kuku_01_03.py # Deeper network │ └── ... up to 15 ├── configs/ │ └── set_01_hyperparams.yaml # Shared dataset & training params ├── checkpoints/ # Auto-saved by PTL │ └── set_01/ │ ├── kuku_01_01/ │ ├── ... │ └── kuku_01_15/ ├── logs/ # TensorBoard logs ├── train_all_variants.py └── results_analysis.ipynb For example, PyTorch Lightning (PTL) models or a