├── LICENSE
├── Makefile                  <- Makefile with commands like `make data` or `make train`
├── README.md                 <- The top-level README for developers using this project.
├── data
│   ├── external              <- Data from third party sources.
│   ├── interim               <- Intermediate data that has been transformed.
│   ├── processed             <- The final, canonical data sets for modeling.
│   └── raw                   <- The original, immutable data dump.
│
├── docs                      <- A default Sphinx project; see sphinx-doc.org for details
│
├── models                    <- Trained and serialized models, model predictions, or model summaries
│   ├── cfg                   <- CFG files for models
│   ├── csv                   <- CSV logs of epoch and batch runs
│   ├── json                  <- JSON representation of the models
│   ├── predictions           <- Predictions generated the train models and their best weights
│   ├── weights               <- Best weights for the models
│   └── yaml                  <- YAML representation of the models
│
├── notebooks                 <- Jupyter notebooks. Naming convention is a number (for ordering),
│                                the creator's initials, and a short `-` delimited description, e.g.
│                                `1.0-jqp-initial-data-exploration`.
│
├── references                <- Data dictionaries, manuals, and all other explanatory materials.
│
├── reports                   <- Generated analysis as HTML, PDF, LaTeX, etc.
│   └── figures               <- Generated graphics and figures to be used in reporting
│
├── requirements.txt          <- The requirements file for reproducing the analysis environment, e.g.
│                                generated with `pip freeze > requirements.txt`
│
├── setup.py                  <- makes project pip installable (pip install -e .) so src can be imported
├── src                       <- Source code for use in this project.
│   ├── __init__.py           <- Makes src a Python module
│   │
│   ├── data                  <- Scripts to download or generate data
│   │   └── make_dataset.py
│   │
│   ├── features              <- Scripts to turn raw data into features for modeling
│   │   └── build_features.py
│   │
│   ├── logging               <- Scripts to improve python logging
│   │   └── log_utils.py
│   │
│   ├── models                <- Scripts to train and test models and then use trained models to make
│   │   │                         predictions
│   │   ├── create_model.py
│   │   ├── predict_model.py
│   │   └── train_model.py
│   │
│   └── visualization         <- Scripts to create exploratory and results oriented visualizations
│       ├── stats.py
│       └── visualize.py
│
└── tox.ini                   <- tox file with settings for running tox; see tox.testrun.org