Showing 9 open source projects for "deep"

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  • 1
    Deep Blue Thesaurus Conversion

    Deep Blue Thesaurus Conversion

    An open source free input method thesaurus conversion program

    An input method thesaurus conversion software, supports the following more than 20 input method tools and thesaurus. This program supports batch conversion (drag and drop multiple thesaurus files at a time, or hold down Ctrl to select multiple files), support command line mode (use -? command to view help under the command line), and support Windows, Linux, and MacOS. Supports Cangjie, Erbi (Super Strong Erbi, Qingsong Erbi, etc.), Pinyin (full spelling, double spelling), Wubi (Wubi 86, Wubi...
    Downloads: 3 This Week
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  • 2
    DocArray

    DocArray

    The data structure for multimodal data

    DocArray is a library for nested, unstructured, multimodal data in transit, including text, image, audio, video, 3D mesh, etc. It allows deep-learning engineers to efficiently process, embed, search, recommend, store, and transfer multimodal data with a Pythonic API. Door to multimodal world: super-expressive data structure for representing complicated/mixed/nested text, image, video, audio, 3D mesh data. The foundation data structure of Jina, CLIP-as-service, DALL·E Flow, DiscoArt etc. ...
    Downloads: 0 This Week
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  • 3
    Kryo

    Kryo

    Java binary serialization and cloning, fast, efficient, automatic

    ...The goals of the project are high speed, low size, and an easy-to-use API. The project is useful any time objects need to be persisted, whether to a file, database or over the network. Kryo can also perform automatic deep and shallow copying/cloning. This is direct copying from object to object, not object to bytes to object. Kryo has three sets of methods for reading and writing objects. If the concrete class of the object is not known and the object could be null. Besides methods to read and write objects, the Kryo class provides a way to register serializers, reads and writes class identifiers efficiently, handles null objects for serializers that can't accept nulls, and handles reading and writing object references (if enabled). ...
    Downloads: 0 This Week
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  • 4
    decimal

    decimal

    Arbitrary-precision fixed-point decimal numbers in go

    ...This makes sense for its use-case, but the trade-off is that the API is awkward and easy to misuse. In contrast, it's difficult to make such mistakes with decimal. Decimals behave like other go numbers types: even though a = b will not deep copy b into a, it is impossible to modify a Decimal, since all Decimal methods return new Decimals and do not modify the originals. The downside is that this causes extra allocations, so Decimal is less performant.
    Downloads: 0 This Week
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    DropCSS

    DropCSS

    An exceptionally fast, thorough and tiny unused-CSS cleaner

    DropCSS takes your HTML and CSS as input and returns only the used CSS as output. Its custom HTML and CSS parsers are highly optimized for the 99% use case and thus avoid the overhead of handling malformed markup or stylesheets, so well-formed input is required. There is minimal handling for complex escaping rules, so there will always exist cases of valid input that cannot be processed by DropCSS; for these infrequent cases, please start a discussion. While the HTML spec allows html, head,...
    Downloads: 0 This Week
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  • 6
    DL Book Notation

    DL Book Notation

    LaTeX files for the Deep Learning book notation

    ...It also includes scripts or style files to facilitate inclusion in articles, slides, or papers that build on the DL book’s notation. Researchers and educators often use this repo when writing materials referencing the deep learning book, so their formulas align with the canonical style. Because notation consistency is crucial in ML education, this repo helps reduce confusion when multiple sources adopt conflicting symbols.
    Downloads: 0 This Week
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  • 7
    DeepLearningProject

    DeepLearningProject

    An in-depth machine learning tutorial

    This tutorial tries to do what most Most Machine Learning tutorials available online do not. It is not a 30 minute tutorial that teaches you how to "Train your own neural network" or "Learn deep learning in under 30 minutes". It's a full pipeline which you would need to do if you actually work with machine learning - introducing you to all the parts, and all the implementation decisions and details that need to be made. The dataset is not one of the standard sets like MNIST or CIFAR, you will make you very own dataset. Then you will go through a couple conventional machine learning algorithms, before finally getting to deep learning! ...
    Downloads: 0 This Week
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  • 8

    Super CSV

    A fast, programmer-friendly, free CSV library for Java

    ...This SourceForge page will remain, but with limited functionality (please go to GitHub to report issues and for project downloads). It is highly configurable, and supports reading and writing with POJOs, Maps and Lists. It also has support for deep-mapping and index-based mapping with POJOs, using the powerful Dozer extension. Its flexible 'Cell Processor' API automates data type conversions (parsing and formatting Dates, Integers, Booleans etc) and enforces constraints (mandatory columns, matching against regular expressions etc) - and it's easy to write your own if required. ...
    Downloads: 0 This Week
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  • 9
    DNA is an open, flexible and extensible deep network analyzer software server and software architecture for gathering and analyzing network packets, network sessions and applications protocols, passively off enterprise class networks.
    Downloads: 0 This Week
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