1 project for "matlab classification learner" with 2 filters applied:

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    MAML-Pytorch

    MAML-Pytorch

    Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning

    ...The repository supports MiniImagenet and Omniglot, two common benchmark datasets for meta-learning experiments. It includes separate training scripts, dataset loaders, learner components, and meta-learning logic. The project also notes that MAML can be difficult to train and presents the implementation as a practical starting point for research. Overall, it is useful for students and researchers who want to study fast adaptation, few-shot classification, and gradient-based meta-learning in PyTorch.
    Downloads: 0 This Week
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