Showing 2 open source projects for "image edit batch"

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    SageMaker Spark Container

    SageMaker Spark Container

    Docker image used to run data processing workloads

    ...It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing. The SageMaker Spark Container is a Docker image used to run batch data processing workloads on Amazon SageMaker using the Apache Spark framework. The container images in this repository are used to build the pre-built container images that are used when running Spark jobs on Amazon SageMaker using the SageMaker Python SDK. The pre-built images are available in the Amazon Elastic Container Registry (Amazon ECR), and this repository serves as a reference for those wishing to build their own customized Spark containers for use in Amazon SageMaker.
    Downloads: 0 This Week
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    Flask App Builder

    Flask App Builder

    Simple and rapid application development framework

    ...Public (no authentication needed) and Private permissions. Role-based permissions. Authentication support for OpenID, Database and LDAP. Support for self-user registration. Automatic, Add, Edit, and Show from Database Models. Labels and descriptions for each field. Automatic base validators from the model's definition. Custom validators, extra fields, and custom filters for related dropdown lists. Image and File support for upload and database field association. Field sets for Forms (Django style).
    Downloads: 0 This Week
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