Showing 3 open source projects for "descent level editor"

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    Gorgonia

    Gorgonia

    Gorgonia is a library that helps facilitate machine learning in Go

    Write and evaluate mathematical equations involving multidimensional arrays easily. Gorgonia is a library that helps facilitate machine learning in Go. Write and evaluate mathematical equations involving multidimensional arrays easily. If this sounds like Theano or TensorFlow, it's because the idea is quite similar. Specifically, the library is pretty low-level, like Theano, but has higher goals like Tensorflow. The primary goal for Gorgonia is to be a highly performant machine...
    Downloads: 0 This Week
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  • 2
    ML++

    ML++

    A library created to revitalize C++ as a machine learning front end

    ...For iterative optimizers such as gradient descent, include the learning rate, epoch number, and whether or not to utilize the UI panel.
    Downloads: 0 This Week
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  • 3
    SINGA

    SINGA

    A distributed deep learning platform

    Apache SINGA is an Apache Top Level Project, focusing on distributed training of deep learning and machine learning models. Various example deep learning models are provided in SINGA repo on Github and on Google Colab. SINGA supports data parallel training across multiple GPUs (on a single node or across different nodes). SINGA supports various popular optimizers including stochastic gradient descent with momentum, Adam, RMSProp, and AdaGrad, etc.
    Downloads: 0 This Week
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