Comments (3)
Hi! Torchmeta only features data-loaders and tools to work with meta-learning, but unfortunately it doesn't feature actual implementations of meta-learning algorithms (except for the examples, but they are not guaranteed to have matching performances).
For MAML in particular, I would love to have such a table in pytorch-maml, which is based on Torchmeta, if time permits!
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Hi! Thanks for the reply. I'm thinking that the results of the implementations would be sufficient. Probably an empty table provided for researchers that uses Torchmeta to contribute to if they made a re-implementation of some algorithms using Torchmeta. This would encourage the quick adoption of Torchmeta in their meta-learning pipeline for publication purpose.
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These kinds of contributions would be great, and are welcome!
I am closing this issue for now, but feel free (or anyone reading this) to open a PR if you have your own reproduction of meta-learning algorithms using Torchmeta, I would love to include it here (with links to their implementations).
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Related Issues (20)
- Addition of validation per batch HOT 1
- Bug with dataparallel in Pytorch 1.7 + cu110
- Is not normalizing in the helper functions a problem?
- Can the code count the number of segmented targets?
- How to augment support set with torchmeta?
- How to retain the original labels of test/train targets? HOT 2
- meta-dataset support pytorch?
- Is it possible to create my own torchmeta data set using my own classification data set pytorch obj?
- Missing check_integrity import from torchvision.datasets.utils HOT 1
- Torchmeta downgrades the Torch and the Torchvision versions HOT 1
- compatability with next pytorch 1.12.1? HOT 3
- Download miniimagenet error HOT 2
- Is meta data set's fo proto maml available? HOT 1
- when i run the train.py ,there is a errer that cannot find the ordered-set
- how to download a pytorch version that is compatible with thorchmeta 1.8.0 HOT 3
- Torch meta can't import in colab HOT 1
- ERROR: ResolutionImpossible HOT 4
- Columns and DataType Not Explicitly Set on line 372 of tcga.py
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- dataset links
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