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sensor-modeling


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Author: Diogo Ribeiro
Summary: Interpretable, probabilistic, privacy-preserving multimodal ambient sensing for behavioural research
Latest version: 0.2.0
Required dependencies: bokeh | click | flask | h5py | joblib | matplotlib | networkx | numpy | pandas | plotly | pyyaml | scikit-learn | scipy | seaborn | tqdm
Optional dependencies: bandit | black | bokeh | bottleneck | build | catboost | coverage | cython | dash | fhir-resources | flake8 | flake8-docstrings | holoviews | hypothesis | ipykernel | isort | jupyterlab | lightgbm | mkdocs | mkdocs-jupyter | mkdocs-material | mkdocstrings | mne | mypy | nibabel | notebook | numba | numexpr | panel | plotly | pre-commit | pydicom | pytest | pytest-benchmark | pytest-cov | pytest-xdist | radon | safety | sensor-modeling | setuptools-scm | streamlit | tensorflow | torch | transformers | twine | xgboost

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