Showing 1 open source project for "tiny-workflow"

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  • Easy-to-use online form builder for every business. Icon
    Easy-to-use online form builder for every business.

    Create online forms and publish them. Get an email for each response. Collect data.

    Easy-to-use online form builder for every business. Create online forms and publish them. Get an email for each response. Collect data. Design professional looking forms with JotForm Online Form Builder. Customize with advanced styling options to match your branding. Speed up and simplify your daily work by automating complex tasks with JotForm’s industry leading features. Securely and easily sell products. Collect subscription fees and donations. Being away from your computer shouldn’t stop you from getting the information you need. No matter where you work, JotForm Mobile Forms lets you collect data offline with powerful forms you can manage from your phone or tablet. Get the full power of JotForm at your fingertips. JotForm PDF Editor automatically turns collected form responses into professional, secure PDF documents that you can share with colleagues and customers. Easily generate custom PDF files online!
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  • JS7 JobScheduler is an open source workload automation solution. Icon
    JS7 JobScheduler is an open source workload automation solution.

    JS7 offers cross-platform job execution, managed file transfer, complex no-code job dependencies and a real REST API.

    JS7 JobScheduler is an open source workload automation solution. It is used to run executable files, shell scripts etc. and database procedures.
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  • 1
    SageMaker Experiments Python SDK

    SageMaker Experiments Python SDK

    Experiment tracking and metric logging for Amazon SageMaker notebooks

    ...Experiment tracking powers the machine learning integrated development environment Amazon SageMaker Studio. Experiment: A collection of related Trials. Add Trials to an Experiment that you wish to compare together. Trial: A description of a multi-step machine learning workflow. Each step in the workflow is described by a Trial Component. There is no relationship between Trial Components such as ordering. Trial Component: A description of a single step in a machine learning workflow. For example data cleaning, feature extraction, model training, model evaluation, etc.
    Downloads: 0 This Week
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