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meta-learning-toolkit


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Author: None
License: Custom Non-Commercial License
Summary: Production-ready meta-learning algorithms with research-accurate implementations of MAML, Prototypical Networks, and test-time compute scaling
Latest version: 2.5.0
Required dependencies: numpy | pyyaml | requests | rich | scikit-learn | scipy | torch | torchvision | tqdm
Optional dependencies: build | h5py | higher | learn2learn | matplotlib | mypy | pillow | pre-commit | pytest | pytest-benchmark | pytest-cov | pytest-mock | ruff | seaborn | torchmeta | torchvision | twine | wandb

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