Gradient checkpointing technique for Model Agnostic Meta Learning

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License: MIT License (MIT)

Author: Dmitry Baranchuk

Tags meta-learning

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PyTorch implementation of Model Agnostic Meta Learning with gradient checkpointing. Allows you to perform way (~10-100x) more MAML steps with the same GPU memory budget.

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Statistics

View statistics for this project via Libraries.io, or by using our public dataset on Google BigQuery

Meta

License: MIT License (MIT)

Author: Dmitry Baranchuk

Tags meta-learning

Maintainers

Avatar for dbaranchuk from gravatar.com dbaranchuk

Classifiers


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1.0

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