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    Scikit-learn & PyTorch on Ubuntu 20.04 by Apps4Rent LLC

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    AWS Free Tier
    This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour.
    Listing Thumbnail

    Scikit-learn & PyTorch on Ubuntu 20.04 by Apps4Rent LLC

     Info

    Overview

    This is a repackaged open-source software product wherein additional charges apply for technical support and maintenance by Apps4Rent.

    PyTorch is a powerful and popular open-source machine learning framework based on the Torch library. Its widely used for tasks like computer vision, natural language processing, and deep learning research. PyTorch utilizes a dynamic computational graph, allowing for greater flexibility and adaptability during model development. A rich ecosystem of libraries and tools like Torchvision and PyTorch Lightning simplifies various aspects of machine learning development.

    Scikit-learn is for Machine Learning in Python. It is a simple and efficient tool for data mining and data analysis, accessible to everybody, reusable in various contexts, built on NumPy, SciPy, and matplotlib. It is an Open-source library.

    Disclaimer: The respective trademarks mentioned in the offering are owned by the respective companies. We do not provide the commercial license of any of these products. Many of the products have a free, demo or Open-Source license as applicable. Image may take up to 5-7 minutes for initial launch.

    Highlights

    • Apps4Rent provides Scikit-learn & PyTorch which is ready to use for Production Environment
    • This product has charges associated with it for technical support and maintenance provided by Apps4Rent. The usage charges are USD 0.1/hour.

    Details

    Categories

    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    Ubuntu 20.04

    Typical total price

    This estimate is based on use of the seller's recommended configuration (t2.medium) in the US East (N. Virginia) Region. View pricing details

    $0.146/hour

    Features and programs

    Financing for AWS Marketplace purchases

    AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
    Financing for AWS Marketplace purchases

    Pricing

    Scikit-learn & PyTorch on Ubuntu 20.04 by Apps4Rent LLC

     Info
    Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Usage costs (124)

     Info
    • ...
    Instance type
    Product cost/hour
    EC2 cost/hour
    Total/hour
    t1.micro
    $0.10
    $0.02
    $0.12
    t2.nano
    $0.10
    $0.006
    $0.106
    t2.micro
    AWS Free Tier
    $0.10
    $0.012
    $0.112
    t2.small
    $0.10
    $0.023
    $0.123
    t2.medium
    Recommended
    $0.10
    $0.046
    $0.146
    t2.large
    $0.10
    $0.093
    $0.193
    t2.xlarge
    $0.10
    $0.186
    $0.286
    t2.2xlarge
    $0.10
    $0.371
    $0.471
    m1.small
    $0.10
    $0.044
    $0.144
    m1.medium
    $0.10
    $0.087
    $0.187

    Additional AWS infrastructure costs

    Type
    Cost
    EBS General Purpose SSD (gp2) volumes
    $0.10/per GB/month of provisioned storage

    Vendor refund policy

    Apps4Rent does not offer commercial licenses of any of the products mentioned above. The products come with open source licenses.

    Legal

    Vendor terms and conditions

    Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .

    Content disclaimer

    Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.

    Usage information

     Info

    Delivery details

    64-bit (x86) Amazon Machine Image (AMI)

    Amazon Machine Image (AMI)

    An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.

    Additional details

    Usage instructions

    For Linux: Connect to your Linux instance via port no. 22 using SSH. Please refer this article: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html  Sign-in credentials: Username: ubuntu

    This software does not store any sensitive customer information. This software does not require any type of data encryption configuration, programmatic system credentials and cryptographic keys are not required for this product.

    Run the basic command below for verifying the installation of Scikit-learn and PyTorch: i) Once you log in into the instance update the instance with the sudo apt-get update. ii) Now activate the virtual environment created to install Scikit-learn and PyTorch: source my-env/bin/activate iii) To check the version of PyTorch run: pip show torch iv) To check the version of Scikit-learn run: pip show scikit-learn

    Below are the minimum external resources subscriber needs to have to use this product: i)An Internet Connection is required, for this product to function as expected. ii)We recommend keeping your crucial data in a custom made encrypted EBS to save it from termination in future.

    Support

    Vendor support

    AWS infrastructure support

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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