learn2learn: A Library for Meta-Learning Research

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/newsₜopicclassification. py example. Rename TaskDataset to Taskset. Fixed MAML Toy example. (@Theo Morales) Example for detachₘodule. (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.