Showing 6 open source projects for "vg-99"

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery automates data prep, analysis, and predictions with built-in AI assistance.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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  • Host LLMs in Production With On-Demand GPUs Icon
    Host LLMs in Production With On-Demand GPUs

    NVIDIA L4 GPUs. 5-second cold starts. Scale to zero when idle.

    Deploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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  • 1
    Linkify

    Linkify

    JavaScript plugin for finding links in plain-text and converting them

    ...Detect URLs and email addresses #hashtag, @mention and #-ticket plugins. React and jQuery support. Multi-language and emoji support. Custom link plugins. Fast, accurate, and small footprint (~20kB minified, ~11kB gzipped) 99% test coverage. Compatible with all modern browsers (Internet Explorer 11 and up). By default Linkify will only detect and highlight web URLs and e-mail addresses. Plugins for @mentions, #hashtags and more may be installed separately.
    Downloads: 7 This Week
    Last Update:
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  • 2
    StringZilla

    StringZilla

    10x faster string search, split, sort, and shuffle for long strings

    ...StringZilla uses a heuristic so simple it's almost stupid... but it works. It matches the first few letters of words with hyper-scalar code to achieve memcpy speeds. The implementation fits into a single C 99 header file and uses different SIMD flavors and SWAR on older platforms. The Str is designed to replace long Python str strings and wrap our C-level API. On the other hand, the File memory-maps a file from persistent memory without loading its copy into RAM. The contents of that file would remain immutable, and the mapping can be shared by multiple Python processes simultaneously. ...
    Downloads: 7 This Week
    Last Update:
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  • 3
    LittleLink

    LittleLink

    A lightweight DIY alternative to services like Linktree

    ...Using Skeleton let us build something that loads quickly & doesn't have any of the unnecessary bloat you would get from using a large framework for a page that requires nothing more than simplicity. LittleLink scored a 99/100 in performance when tested with Google Lighthouse.
    Downloads: 3 This Week
    Last Update:
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  • 4
    UStore

    UStore

    Multi-Modal Database replacing MongoDB, Neo4J, and Elastic

    Multi-Modal Database replacing MongoDB, Neo4J, and Elastic with 1 faster ACID solution, with NetworkX and Pandas interfaces, and bindings for C 99, C++ 17, Python 3, Java, GoLang.
    Downloads: 6 This Week
    Last Update:
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  • Our Free Plans just got better! | Auth0 Icon
    Our Free Plans just got better! | Auth0

    With up to 25k MAUs and unlimited Okta connections, our Free Plan lets you focus on what you do best—building great apps.

    You asked, we delivered! Auth0 is excited to expand our Free and Paid plans to include more options so you can focus on building, deploying, and scaling applications without having to worry about your security. Auth0 now, thank yourself later.
    Try free now
  • 5
    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, body and tbody to be implied/omitted, DropCSS makes no such assumptions; selectors will only be retained for tags that can be parsed from provided markup. ...
    Downloads: 0 This Week
    Last Update:
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  • 6
    fast-serialization

    fast-serialization

    FST: fast java serialization drop in-replacement

    Up to 10 times faster 100% JDK Serialization compatible drop-in replacement (Ok, might be 99% ..). As an example: Lambda Serialization which came with 1.8 worked instantly. Android compatible since version 2.17 (use FSTConfiguration.createAndroidDefaultConfiguration() both on the server and client side. The configuration object has to be passed into FSTObjectIn/Output constructors) FSTStructs is very similar to IBM's packed objects.
    Downloads: 0 This Week
    Last Update:
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