Showing 5 open source projects for "ofn-export-layers.py"

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    Build Agents and Models on One Platform

    Everything you need to build production-ready agents and models. Access 200+ Google and third-party AI models and tools.

    Gemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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    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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  • 1
    Service Bus Explorer

    Service Bus Explorer

    Connect to a Service Bus namespace and administer messaging entities

    The Service Bus Explorer allows users to connect to a Service Bus namespace and administer messaging entities in an easy manner. The tool provides advanced features like import/export functionality or the ability to test topics, queues, subscriptions, relay services, notification hubs, and events hubs. Microsoft Azure Service Bus is a reliable information delivery service. The purpose of this service is to make communication easier. When two or more parties want to exchange information, they need a communication facilitator. ...
    Downloads: 76 This Week
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  • 2
    Dataproc Templates

    Dataproc Templates

    Dataproc templates and pipelines for solving simple in-cloud data task

    Dataproc templates are designed to address various in-cloud data tasks, including data import/export/backup/restore and bulk API operations. These templates leverage the power of Google Cloud's Dataproc, supporting both Dataproc Serverless and Dataproc clusters. Google provides this collection of pre-implemented Dataproc templates as a reference and for easy customization.
    Downloads: 0 This Week
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  • 3
    Kubeflow

    Kubeflow

    Machine Learning Toolkit for Kubernetes

    Kubeflow is an open source Cloud Native machine learning platform based on Google’s internal machine learning pipelines. It seeks to make deployments of machine learning workflows on Kubernetes simple, portable and scalable. With Kubeflow you can deploy best-of-breed open-source systems for ML to diverse infrastructures. You can also take advantage of a number of great features, such as services for managing Jupyter notebooks and support for a TensorFlow Serving container. Wherever you...
    Downloads: 2 This Week
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  • 4
    M3O

    M3O

    Next generation cloud

    ...All APIs are available through one endpoint. Call any API using your token in the Authorization: Bearer [Token] header. Grab your API token from the dashboard and try out HelloWorld and export it.
    Downloads: 0 This Week
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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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  • 5
    AWS Greengrass Core SDK for JavaScript
    The AWS Greengrass Core SDK for JavaScript allows developers to write JavaScript Lambda functions that will run within Greengrass. This document provides instructions for preparing your Greengrass Core environment to run Lambda functions written in JavaScript. It also includes examples on how to develop a Lambda function in JavaScript as well as packaging and running an example Hello World file in JavaScript for your Greengrass core. The environment where Greengrass is running on needs to be...
    Downloads: 0 This Week
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