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Author: jordancaraballo
License: MIT
Summary: Methods for pytorch deep learning applications
Latest version: 0.0.1
Required dependencies: astropy | coveralls | datasets | deepspeed | diskcache | fitsio | huggingface_hub | hydra-core | lightkurve | netcdf4 | ninja | numpy | omegaconf | pandas | pytest | rich | rtree | scikit-learn | scipy | supervision | timm | torchcde | torchdiffeq | tqdm | transformers | webdataset | xarray
Optional dependencies: black | coverage | pdoc | pytest

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