Showing 7 open source projects for "machine learning python"

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  • 1
    Luigi

    Luigi

    Python module that helps you build complex pipelines of batch jobs

    ...These tasks can be anything, but are typically long running things like Hadoop jobs, dumping data to/from databases, running machine learning algorithms, or anything else. You can build pretty much any task you want, but Luigi also comes with a toolbox of several common task templates that you use. It includes support for running Python mapreduce jobs in Hadoop, as well as Hive, and Pig, jobs. It also comes with file system abstractions for HDFS, and local files that ensures all file system operations are atomic.
    Downloads: 0 This Week
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  • 2
    SMC - The State Machine Compiler

    SMC - The State Machine Compiler

    Translates state machine into a target programming language.

    SMC takes a state machine stored in a .sm file and generates a State pattern in 14 programming languages. Includes: default transitions, transition args, transition guards, push/pop transitions and Entry/Exit actions. See User Manual for more info.
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    Downloads: 26 This Week
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  • 3
    Orchest

    Orchest

    Build data pipelines, the easy way

    ...Each step runs a file in a container. It's that simple! Spin up services whose lifetime spans across the entire pipeline run. Easily define your dependencies to run on any machine. Run any subset of the pipeline directly or periodically.
    Downloads: 0 This Week
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  • 4
    SageMaker MXNet Inference Toolkit

    SageMaker MXNet Inference Toolkit

    Toolkit for allowing inference and serving with MXNet in SageMaker

    ...The AWS DLCs are used in Amazon SageMaker as the default vehicles for your SageMaker jobs such as training, inference, transforms etc. They've been tested for machine learning workloads on Amazon EC2, Amazon ECS and Amazon EKS services as well.
    Downloads: 2 This Week
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  • 5
    AWS Step Functions Data Science SDK

    AWS Step Functions Data Science SDK

    For building machine learning (ML) workflows and pipelines on AWS

    The AWS Step Functions Data Science SDK is an open-source library that allows data scientists to easily create workflows that process and publish machine learning models using Amazon SageMaker and AWS Step Functions. You can create machine learning workflows in Python that orchestrate AWS infrastructure at scale, without having to provision and integrate the AWS services separately. The best way to quickly review how the AWS Step Functions Data Science SDK works is to review the related example notebooks. ...
    Downloads: 0 This Week
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  • 6
    ElymOs

    ElymOs

    Linux OS from ubuntu, customisable for everyone, social and media

    Ubuntu based GNU/Linux system, use Gnome Shell. Easy for learn Linux and programming. All software of everyday use. Wine and Virtual Machine for use other OS.
    Downloads: 0 This Week
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  • 7
    PloneShellConsole is a Plone product, which intends to provide an web interface to manage, execute, and track shell scripts in any remote machine.
    Downloads: 0 This Week
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