Search Results for "incremental dbscan code"

4 projects for "incremental dbscan code" with 1 filter applied:

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  • 1
    2FAS Auth for Android

    2FAS Auth for Android

    Source code for 2FAS Auth Android app

    2FAS Auth for Android is the general Android authenticator client for the 2FAS open-source multi-factor authentication suite, designed to help users protect their online accounts with secure, rotating one-time passwords and optionally manage related vault entries. This client lets users add and view TOTP and HOTP tokens for countless services, restore and backup token sets across devices, and secure the app with passcodes or biometrics. The Android implementation emphasizes straightforward...
    Downloads: 0 This Week
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  • 2
    CryptoSwift

    CryptoSwift

    Collection of standard and secure cryptographic algorithms

    The master branch follows the latest currently released version of Swift. If you need an earlier version for an older version of Swift, you can specify its version in your Podfile or use the code on the branch for that version. Older branches are unsupported. Swift Package Manager uses debug configuration for debug Xcode build, that may result in significant (up to x10000) worse performance. Performance characteristic is different in Release build. XCFrameworks require Xcode 11 or later and...
    Downloads: 0 This Week
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  • 3
    Buck

    Buck

    Build system that encourages the creation of small, reusable modules

    Buck is a build system developed and used by Facebook. It encourages the creation of small, reusable modules consisting of code and resources, and supports a variety of languages on many platforms. Buck builds independent artifacts in parallel to take advantage of multiple cores on your machine. Further, it reduces incremental build times by keeping track of unchanged modules so that the minimal set of modules is rebuilt. Buck only uses the declared inputs, which means everybody gets the same results. ...
    Downloads: 0 This Week
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  • 4
    Apple Neural Engine (ANE) Transformers

    Apple Neural Engine (ANE) Transformers

    Reference implementation of the Transformer architecture optimized

    ANE Transformers is a reference PyTorch implementation of Transformer components optimized for Apple Neural Engine on devices with A14 or newer and on Macs with M1 or newer chips. It demonstrates how to structure attention and related layers to achieve substantial speedups and lower peak memory compared to baseline implementations when deployed to ANE. The repository targets practitioners who want to keep familiar PyTorch modeling while preparing models for Core ML/ANE execution paths....
    Downloads: 0 This Week
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