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    The Neural Process Family

    The Neural Process Family

    This repository contains notebook implementations

    ...They can learn distributions over functions from data and efficiently make predictions at new inputs with calibrated uncertainty — making them useful for few-shot learning, Bayesian regression, and meta-learning. Each notebook includes theoretical explanations, key building blocks, and executable code that runs directly in Google Colab, requiring no local setup. Implementations rely only on standard dependencies such as NumPy, TensorFlow, and Matplotlib, and provide visualizations of model performance.
    Downloads: 3 This Week
    Last Update:
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    MetaNet

    MetaNet

    Free portable library for meta neural network research

    MetaNet provides free library for meta neural network research. MetaNet library contain feed-forward neural net realisation and several integrated dataset (MNIST).
    Downloads: 0 This Week
    Last Update:
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