Showing 3 open source projects for "network tweak"

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  • 1
    Bumblebee

    Bumblebee

    Pre-trained Neural Network models in Axon

    Bumblebee provides pre-trained Neural Network models on top of Axon. It includes integration with Models, allowing anyone to download and perform Machine Learning tasks with few lines of code. The best way to get started with Bumblebee is with Livebook. Our announcement video shows how to use Livebook's Smart Cells to perform different Neural Network tasks with a few clicks.
    Downloads: 1 This Week
    Last Update:
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  • 2
    GitHub520

    GitHub520

    Community-maintained approach to improving access to GitHub services

    ...It is intended for users who understand the implications of hosts modifications and want a reversible, client-side tweak. While simple in concept, it has become a widely referenced workaround for network constraints affecting developer workflows.
    Downloads: 5 This Week
    Last Update:
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  • 3
    DeepDream

    DeepDream

    This repository contains IPython Notebook with sample code

    DeepDream is a small, educational repository that accompanies Google’s original “Inceptionism” blog post by providing a runnable IPython/Jupyter notebook that demonstrates how to “dream” through a convolutional neural network. The notebook shows how to take a trained vision model and iteratively amplify patterns the network detects, producing the hallmark surreal, hallucinatory visuals. It walks through loading a pretrained network, selecting layers and channels to maximize, computing gradients with respect to the input image, and applying multi-scale “octave” processing to reveal fine and coarse patterns. ...
    Downloads: 0 This Week
    Last Update:
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