{"id":19014374,"url":"https://github.com/parrondo/tutorial-lstm","last_synced_at":"2026-06-19T12:32:03.206Z","repository":{"id":88357776,"uuid":"118023612","full_name":"parrondo/tutorial-LSTM","owner":"parrondo","description":"Tutorial-LSTM: Project for testing LSTM time series forecasting. 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Naming convention is a number (for ordering),\n    │                         the creator's initials, and a short `-` delimited description, e.g.\n    │                         `1.0-jqp-initial-data-exploration`.\n    │\n    ├── references         \u003c- Data dictionaries, manuals, and all other explanatory materials.\n    │\n    ├── reports            \u003c- Generated analysis as HTML, PDF, LaTeX, etc.\n    │   └── figures        \u003c- Generated graphics and figures to be used in reporting\n    │\n    ├── requirements.txt   \u003c- The requirements file for reproducing the analysis environment, e.g.\n    │                         generated with `pip freeze \u003e requirements.txt`\n    │\n    ├── src                \u003c- Source code for use in this project.\n    │   ├── __init__.py    \u003c- Makes src a Python module\n    │   │\n    │   ├── data           \u003c- Scripts to download or generate data\n    │   │   └── make_dataset.py\n    │   │\n    │   ├── features       \u003c- Scripts to turn raw data into features for modeling\n    │   │   └── build_features.py\n    │   │\n    │   ├── models         \u003c- Scripts to train models and then use trained models to make\n    │   │   │                 predictions\n    │   │   ├── predict_model.py\n    │   │   └── train_model.py\n    │   │\n    │   └── visualization  \u003c- Scripts to create exploratory and results oriented visualizations\n    │       └── visualize.py\n    │\n    └── tox.ini            \u003c- tox file with settings for running tox; see tox.testrun.org\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparrondo%2Ftutorial-lstm","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fparrondo%2Ftutorial-lstm","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fparrondo%2Ftutorial-lstm/lists"}