learn2learn: A Library for Meta-Learning Research

Added New vision example: MAML++. (@Theo Morales) Add tutorial: "Demystifying Task Transforms", (Varad Pimpalkhute) Add <code>l2l.nn.MetaModule</code> and <code>l2l.nn.ParameterTransform</code> for parameter-efficient finetuning. Add <code>l2l.nn.freeze</code>and <code>l2l.nn.unfreeze</code>. Add Adapters and LoRA examples. Add TasksetSampler, compatible with PyTorch's Dataloaders. Changed Documentation: uses <code>mkdocstrings</code> instead of <code>pydoc-markdown</code>. Remove <code>text/news_topic_classification.py</code> example. Rename TaskDataset to Taskset. Fixed MAML Toy example. (@Theo Morales) Example for <code>detach_module</code>. (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.