├── .coveragerc ├── .github ├── ISSUE_TEMPLATE │ ├── bug_report.md │ ├── feature_request.md │ └── question.md └── workflows │ ├── codestyle.yml │ ├── os-coverage.yml │ └── publish.yaml ├── .gitignore ├── .pep8speaks.yml ├── .pre-commit-config.yaml ├── .readthedocs.yaml ├── CITATION.cff ├── LICENSE ├── MANIFEST.in ├── README.md ├── benchmarks ├── README.md ├── gradcheck_tspan.ipynb └── numerics │ ├── bench_odeint.ipynb │ ├── bench_stiff.ipynb │ └── bench_symplectic.ipynb ├── docs ├── FAQ.ipynb ├── Makefile ├── _static │ ├── logo_small.png │ └── torchdyn_logo.svg ├── _templates │ ├── menu.html │ └── mob_menu.html ├── change_log.rst ├── conf.py ├── contributing.ipynb ├── index.rst ├── make.bat ├── requirements.txt ├── source │ ├── modules.rst │ ├── torchdyn.core.rst │ ├── torchdyn.datasets.rst │ ├── torchdyn.models.rst │ ├── torchdyn.nn.rst │ ├── torchdyn.numerics.rst │ └── torchdyn.rst └── tutorials │ └── quickstart.ipynb ├── pl-ci-reqs.txt ├── pyproject.toml ├── setup.py ├── test ├── __init__.py ├── conftest.py ├── layers │ ├── __init__.py │ └── test_galerkin.py ├── models │ ├── __init__.py │ ├── test_ode.py │ └── test_sde.py ├── test_datasets.py ├── test_energy.py ├── test_normalizing_flows.py ├── test_problem.py ├── test_root_find.py ├── test_sdeint.py ├── test_sensitivity.py └── validate_tutorials.py ├── torchdyn ├── __init__.py ├── core │ ├── __init__.py │ ├── defunc.py │ ├── neuralde.py │ ├── problems.py │ └── utils.py ├── datasets │ ├── __init__.py │ └── static_datasets.py ├── models │ ├── README.md │ ├── __init__.py │ ├── cnf.py │ ├── energy.py │ └── hybrid.py ├── nn │ ├── __init__.py │ ├── galerkin.py │ └── node_layers.py ├── numerics │ ├── __init__.py │ ├── interpolators.py │ ├── odeint.py │ ├── sdeint.py │ ├── sensitivity.py │ ├── solvers │ │ ├── _constants.py │ │ ├── hyper.py │ │ ├── ode.py │ │ ├── root.py │ │ ├── sde.py │ │ └── templates.py │ ├── systems.py │ └── utils.py └── utils.py └── tutorials ├── 00_quickstart.ipynb ├── README.md ├── experimental ├── gde_node_classification_pyg.py └── latent_sde.py ├── module1-neuralde ├── m1a_neural_ode_cookbook.ipynb ├── m1b_crossing_trajectories.ipynb ├── m1c_augmentation_strategies.ipynb ├── m1d_higher_order.ipynb └── m1e_neural_sde_cookbook.ipynb ├── module2-numerics ├── m2a_hypersolver_odeint.ipynb ├── m2b_multiple_shooting.ipynb ├── m2c_hybrid_odeint.ipynb └── m2d_generalized_adjoint.ipynb ├── module3-tasks ├── m3a_image_classification.ipynb ├── m3b_optimal_control.ipynb └── m3c_continuous_normalizing_flows.ipynb ├── module4-model ├── m4a_approximate_continuous_normalizing_flows.ipynb ├── m4b_hypersolver_optimal_control.ipynb ├── m4c.multiple_shooting_layers.ipynb ├── m4d_hamiltonian_nets.ipynb ├── m4e_lagrangian_nets.ipynb ├── m4f_stable_neural_odes.ipynb └── m4g_gde_node_classification.ipynb └── utils.py /.coveragerc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/DiffEqML/torchdyn/HEAD/.coveragerc 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