Showing 4 open source projects for "machine learning python"

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    AWS Toolkit for Visual Studio Code

    AWS Toolkit for Visual Studio Code

    Local Lambda debug, CodeWhisperer, SAM/CFN syntax, etc.

    ... Explorer when the AWS icon is selected in the Activity bar. The AWS CDK Explorer enables you to work with AWS Cloud Development Kit (CDK) applications. It shows a top-level view of your CDK applications that have been synthesized in your workspace. Amazon CodeWhisperer provides inline code suggestions using machine learning and natural language processing on the contents of your current file. Supported languages include Java, Python and Javascript.
    Downloads: 6 This Week
    Last Update:
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  • 2
    LocalStack

    LocalStack

    Develop and test your cloud apps offline

    LocalStack is a fully functional local AWS cloud stack that enables you to develop and test your cloud and serverless apps offline. It spins up an easy-to-use testing environment on your local machine that has the same APIs and works the same way as the real AWS cloud environment. It can spin up a number of different core Cloud APIs on your local machine, including API Gateway, Kinesis, DynamoDB, Firehose, Lambda and many others. LocalStack was built on some of today’s best-of-breed mocking...
    Downloads: 9 This Week
    Last Update:
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  • 3
    SST

    SST

    Build serverless apps. Set breakpoints and test your functions locally

    ... application runs on that server and we are responsible for provisioning and managing the resources for it. The sst start command starts up a local development environment that opens a WebSocket connection to your deployed app and proxies any Lambda requests to your local machine. Supports all Lambda triggers, so there's no need to mock API Gateway, SQS, SNS, etc. Supports real Lambda environment variables and Lambda IAM permissions.
    Downloads: 10 This Week
    Last Update:
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  • 4
    Serverless Offline

    Serverless Offline

    Emulate AWS λ and API Gateway locally

    This Serverless plugin emulates AWS λ and API Gateway on your local machine to speed up your development cycles. To do so, it starts an HTTP server that handles the request's lifecycle like APIG does and invokes your handlers. Options passed on the command line override YAML options. List of available function names and their corresponding serverless.yml function keys are listed after the server starts. This is important if you use a custom naming scheme for your functions as serverless-offline...
    Downloads: 2 This Week
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