learn2learn: A Library for Meta-Learning Research
Sébastien M. R. Arnold, Praateek Mahajan, Debajyoti Datta, Ian Bunner, Konstantinos Saitas Zarkias · arXiv (Cornell University) · 2020
Added New vision example: MAML++. (@Theo Morales) Add tutorial: "Demystifying Task Transforms", (Varad Pimpalkhute) Add l2l.nn.MetaModule and l2l.nn.ParameterTransform for parameter-efficient finetuning. Add l2l.nn.freezeand l2l.nn.unfreeze. Add Adapters and LoRA examples. Add TasksetSampler, compatible with PyTorch's Dataloaders. Changed Documentation: uses mkdocstrings instead of pydoc-markdown. Remove text/news_topic_classification.py example. Rename TaskDataset to Taskset. Fixed MAML Toy example. (@Theo Morales) Example for detach_module. (Nimish Sanghi) Loading duplicate FGVC Aircraft images. Move vision datasets to Zenodo. (mini-ImageNet, tiered-ImageNet, FC100, CIFAR-FS, CUB200) mini-ImageNet targets are now ints (not np.float64). Swap family for variants in FGVCAircraft, as in MetaDataset.