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torchdistill


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Author: Yoshitomo Matsubara
License: MIT License Copyright (c) 2019 Yoshitomo Matsubara Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associate...
Summary: A Modular, Configuration-Driven Framework for Knowledge Distillation. Trained models, training logs and configurations are available for ensuring the reproducibility.
Latest version: 1.1.5
Required dependencies: cython | numpy | pyyaml | scipy | torch | torchvision
Optional dependencies: pytest | sphinx | sphinx-rtd-theme | sphinx-sitemap

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