├── .github ├── actions │ └── setup-torchts │ │ └── action.yml ├── dependabot.yml ├── labeler.yml └── workflows │ ├── docs.yml │ ├── labeler.yml │ ├── release.yml │ ├── security.yml │ └── test.yml ├── .gitignore ├── .pre-commit-config.yaml ├── CHANGELOG.md ├── CONTRIBUTING.md ├── LICENSE ├── README.md ├── codecov.yml ├── docs ├── Makefile ├── make.bat └── source │ ├── _static │ ├── css │ │ └── custom.css │ └── images │ │ ├── favicon.ico │ │ └── torchTS_logo.png │ ├── _templates │ └── theme_variables.jinja │ ├── conf.py │ ├── index.rst │ ├── modules.rst │ └── torchts.rst ├── examples ├── dcrnn │ ├── README.md │ ├── main.py │ └── requirements.txt ├── mis-regression │ ├── README.md │ ├── lstm-mis-regression.ipynb │ └── requirements.txt ├── ode │ ├── SEIR │ │ ├── SEIR model with ODESolver.ipynb │ │ ├── SIR_SEIR_Test.ipynb │ │ └── SIR_data_SD_county.pt │ └── lorenz63 │ │ ├── Lorenz63Test.ipynb │ │ └── Lorenz63Test_UnobservedMethod.ipynb ├── quantile-regression │ ├── README.md │ ├── lstm-quantile-regression.ipynb │ └── requirements.txt └── seq2seq │ └── End2end pipeline with traffic dataset (GPU Tesla T4, Train 25mins).ipynb ├── poetry.lock ├── pyproject.toml ├── scripts └── build_docs.sh ├── tests ├── nn │ ├── test_loss.py │ └── test_ode.py ├── test_model.py └── test_sliding_window.py ├── torchts ├── __init__.py ├── nn │ ├── __init__.py │ ├── graph.py │ ├── loss.py │ ├── model.py │ └── models │ │ ├── __init__.py │ │ ├── dcrnn.py │ │ ├── ode.py │ │ └── seq2seq.py └── utils │ ├── __init__.py │ ├── data.py │ └── graph.py └── website ├── .gitignore ├── README.md ├── babel.config.js ├── docs ├── deep-sequence-to-sequence-models │ ├── _category_.json │ ├── seq2seq-gru.md │ └── seq2seq-lstm.md ├── deep-spatiotemporal-models │ ├── _category_.json │ ├── convolutional-lstm.md │ └── diffusion-convolutional-lstm.md ├── intro.md ├── linear-time-series-models │ ├── _category_.json │ ├── autoregressive.md │ └── vector-autoregressive.md ├── physics-guided-deep-sequence-models │ 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