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.
Release files for torch_maml 1.0
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Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| torch_maml-1.0.tar.gz | 9.7 kB | Details |
Release files / torch_maml-1.0.tar.gz
| Download URL | torch_maml-1.0.tar.gz |
|---|---|
| Size | 9.7 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
9fc7d91852514dc29ddd2838ac348f833eb81e778ef07b074b815d7a41ee50e8
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Python-urllib/3.7
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