Showing 56 open source projects for "document code"

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  • 1
    TensorFlow World

    TensorFlow World

    Simple and ready-to-use tutorials for TensorFlow

    This repository aims to provide simple and ready-to-use tutorials for TensorFlow. The explanations are present in the wiki associated with this repository. There are different motivations for this open source project. TensorFlow (as we write this document) is one of / the best deep learning frameworks available. The question that should be asked is why has this repository been created when there are so many other tutorials about TensorFlow available on the web? Deep Learning is in very high...
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  • 2
    Convolution arithmetic

    Convolution arithmetic

    A technical report on convolution arithmetic in deep learning

    A technical report on convolution arithmetic in the context of deep learning. The code and the images of this tutorial are free to use as regulated by the licence and subject to proper attribution. The animations will be output to the gif directory. Individual animation steps will be output in PDF format to the pdf directory and in PNG format to the png directory. We introduce a guide to help deep learning practitioners understand and manipulate convolutional neural network architectures....
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  • 3

    TML - Text Mining Library for LSA & CMM

    TML is a Java Library for LSA and extracting Concept Maps from text

    TML has moved to http://www.villalon.cl/tml.html and the code to https://github.com/villalon/tml
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  • 4
    This is a fork of the JollyNinja Bot for Robocode. The project intends to document JollyNinja's source code, make it work in teams and provide a solid API to base other Bots on, especially TeamRobot based bots.
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    Ship Agents Faster

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  • 5
    Performs summarization, categorization, key phrase generation,full text indexing and search,part of speech tagging,identification of place and human names in various document format. Latest code is available at http://www.twit88.com/
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  • 6
    Nemotron 3

    Nemotron 3

    Large language model developed and released by NVIDIA

    ...This configuration supports a massive context length of up to 1 million tokens, making it suitable for long-context reasoning, agentic tasks, extended dialogues, and applications like code generation or document summarization.
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