Showing 3 open source projects for "countries"

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  • 1
    D2L.ai

    D2L.ai

    Interactive deep learning book with multi-framework code

    Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge. This open-source book represents our attempt to make deep learning approachable, teaching you the concepts, the context, and the code. The entire book is drafted in Jupyter notebooks, seamlessly integrating exposition figures, math, and interactive examples with self-contained code.
    Downloads: 1 This Week
    Last Update:
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  • 2
    d2l-zh

    d2l-zh

    Chinese-language edition of Dive into Deep Learning

    ...It features runnable Jupyter notebooks compatible with multiple frameworks (e.g., PyTorch, MXNet, TensorFlow), comprehensive theoretical analysis, and exercises. Widely adopted in over 70 countries and used by more than 500 universities for teaching deep learning.
    Downloads: 2 This Week
    Last Update:
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  • 3

    MarketSim

    A python based auction market simulator for agricultural trade

    ...The major aim of the simulator is to experiment with various reputation mechanisms to manage bottlenecks and to model various adversarial scenarios. The market is aimed to simulate agricultural trade in developing countries. It is written in python and mysql database on Linux.
    Downloads: 0 This Week
    Last Update:
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