Showing 6 open source projects for "good"

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  • 1

    .NET Core Home

    Home repository for .NET Core

    This is the dotnet/core repository and is a good starting point for .NET Core, an open source general-purpose development framework for building cross-platform apps. .NET Core lets you create apps for Windows, macOS or Linux, as well as ARM64 processors using various programming languages. It provides frameworks and APIs for cloud, client UI, IoT, and machine learning. The latest major release (as of this writing) is .NET Core 3.1.
    Downloads: 3 This Week
    Last Update:
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  • 2
    data.table

    data.table

    Extends base R’s data for high-performance data manipulation

    ...Extremely efficient grouping/aggregation/summarization; can handle very large datasets (hundreds of millions to billions of rows) in memory (if available). Relies only on base R; maintained API, active community; good memory efficiency. Non-equi joins, overlapping range joins, ordered joins, joining with aggregations, etc.
    Downloads: 0 This Week
    Last Update:
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  • 3
    Faker for Python

    Faker for Python

    Python package that generates fake data for you

    Faker is a Python package that generates fake data for you. Whether you need to bootstrap your database, create good-looking XML documents, fill-in your persistence to stress test it, or anonymize data taken from a production service, Faker is for you. Starting from version 4.0.0, Faker dropped support for Python 2 and from version 5.0.0 only supports Python 3.6 and above. If you still need Python 2 compatibility, please install version 3.0.1 in the meantime, and please consider updating your codebase to support Python 3 so you can enjoy the latest features Faker has to offer. ...
    Downloads: 7 This Week
    Last Update:
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  • 4
    DeepCTR

    DeepCTR

    Package of deep-learning based CTR models

    ...With the great success of deep learning,DNN-based techniques have been widely used in CTR prediction task. The data in CTR estimation task usually includes high sparse,high cardinality categorical features and some dense numerical features. Since DNN are good at handling dense numerical features,we usually map the sparse categorical features to dense numerical through embedding technique.
    Downloads: 0 This Week
    Last Update:
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  • 5
    govalidator

    govalidator

    Package of validators and sanitizers for strings, numerics, etc.

    ...SetFieldsRequiredByDefault causes validation to fail when struct fields do not include validations or are not explicitly marked as exempt (using valid:"-" or valid:"email,optional"). A good place to activate this is a package init function or the main() function. SetNilPtrAllowedByRequired causes validation to pass when struct fields marked by required are set to nil. This is disabled by default for consistency, but some packages that need to be able to determine between nil and zero value state can use this. If disabled, both nil and zero values cause validation errors. ...
    Downloads: 0 This Week
    Last Update:
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  • 6
    neobundle.vim

    neobundle.vim

    Next generation Vim package manager

    ...NeoBundle also understands plugin dependencies and post-update hooks, allowing complex setups to be reproduced reliably across machines. It supports version pinning and branch selection so teams can stabilize on known-good revisions. Although Shougo later introduced dein.vim as the modern successor, NeoBundle remains a usable, declarative way to manage plugins on classic Vim setups.
    Downloads: 0 This Week
    Last Update:
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