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    The Neural Process Family

    The Neural Process Family

    This repository contains notebook implementations

    Neural Processes (NPs) is a collection of interactive Jupyter/Colab notebook implementations developed by Google DeepMind, showcasing three foundational probabilistic machine learning models: Conditional Neural Processes (CNPs), Neural Processes (NPs), and Attentive Neural Processes (ANPs). These models combine the strengths of neural networks and stochastic processes, allowing for flexible function approximation with uncertainty estimation.
    Downloads: 0 This Week
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  • 2
    NPS (Node Package Scripts)

    NPS (Node Package Scripts)

    All the benefits of npm scripts without the cost of a bloated package

    NPS (Node Package Scripts) is an advanced alternative to NPM scripts that improves maintainability by allowing JavaScript-based task definitions. It removes the need for complex package.json script structures, enabling developers to create modular and readable task automation workflows.
    Downloads: 0 This Week
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