Showing 29 open source projects for "docker"

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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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  • MongoDB Atlas runs apps anywhere Icon
    MongoDB Atlas runs apps anywhere

    Deploy in 115+ regions with the modern database for every enterprise.

    MongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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  • 1
    ModularAdmin

    ModularAdmin

    Free Dashboard Theme Built On Bootstrap 4 | HTML Version

    ModularAdmin is an open source dashboard theme built in a modular way. That makes it easy to scale, modify and maintain. We use SASS as CSS preprocessor language. Main variables are defined in the src/_variables.scss folder. For making life easier we broke down styles into components, and on build we're just merging all .scss files together and processing it to the dist/css/app.css file. There are also different theme variations located in src/_themes/ folder, where you can change the main...
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  • 2
    WikiSQL

    WikiSQL

    A large annotated semantic parsing corpus for developing NL interfaces

    ...Regarding tokenization and Stanza, when WikiSQL was written 3-years ago, it relied on Stanza, a CoreNLP python wrapper that has since been deprecated. If you'd still like to use the tokenizer, please use the docker image. We do not anticipate switching to the current Stanza as changes to the tokenizer would render the previous results not reproducible.
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  • 3
    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...
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  • 4
    Resume template

    Resume template

    A simple Jekyll + GitHub Pages powered resume template

    A simple Jekyll + GitHub Pages powered resume template. First you'll want to fork the repo to your own account. Then clone it locally and customize, or use the GitHub web editor to customize. Most of the basic customization will take place in the /_config.yml file. Here is a list of customizations available via /_config.yml. Most of the content configuration will take place in the /_layouts/resume.html file. Simply edit the markup there accordingly. You should write a few brief, concise, and...
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  • 99.99% Uptime for MySQL and PostgreSQL Databases Icon
    99.99% Uptime for MySQL and PostgreSQL Databases

    Sub-second maintenance. 2x read/write performance. Built-in vector search for AI apps.

    Cloud SQL Enterprise Plus delivers near-zero downtime with 35 days of point-in-time recovery. Supports MySQL, PostgreSQL, and SQL Server.
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